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100854a6d18277d4c0dd905456dcf69e64b42394 | e96e9990ba26757b834eeff95e8bee9b720b72aa | /django/test007/blog/models.py | fa736c53142137dcf246805e9ccfa1fbf92b1a0a | [] | no_license | cuiyanan89/Python | 475a0a2778d7be5b9f6aa87ba35c21569080e056 | f742684474730e3b032aabd0151d584167c3ed02 | refs/heads/master | 2016-09-06T05:31:48.956411 | 2013-09-06T08:13:09 | 2013-09-06T08:13:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | from django.db import models
# Create your models here.
class New(models.Model):
new_title = models.CharField(max_length=30)
new_content = models.TextField(max_length=3000)
new_img = models.FileField(upload_to="./images")
def __unicode__(self):
return self.new_title
| [
"root@yanan-Rev-1-0.(none)"
] | root@yanan-Rev-1-0.(none) |
f0704c277601046e7ecff140c4ce76723f895a6f | e6dab5aa1754ff13755a1f74a28a201681ab7e1c | /.parts/lib/python2.7/test/outstanding_bugs.py | 5a947e5deea9d551dd5f2994869ab7dd70a83e94 | [] | no_license | ronkagan/Euler_1 | 67679203a9510147320f7c6513eefd391630703e | 022633cc298475c4f3fd0c6e2bde4f4728713995 | refs/heads/master | 2021-01-06T20:45:52.901025 | 2014-09-06T22:34:16 | 2014-09-06T22:34:16 | 23,744,842 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 81 | py | /home/action/.parts/packages/python2/2.7.6/lib/python2.7/test/outstanding_bugs.py | [
"[email protected]"
] | |
fc0054ef638181b7cdaa31bdd9b2c7d6c701b84a | 8bbe2351bbd157a46ccf8530cde4e4cc7b0bd3b7 | /main.py | 94f313395298785422b7caeae12f2b205f2ce590 | [] | no_license | airuibel/py_code | 8dc98d71e79a4c0f785ad5cf81b2ca2073061ebf | 1da9a9dcd37475dd14bab6ae58bca1e2dff4c251 | refs/heads/master | 2020-06-18T03:47:43.754204 | 2018-03-20T09:31:00 | 2018-03-20T09:31:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,021 | py | # import package
import numpy as np
from pandas import DataFrame
import pandas as pd
import re
from dateutil import relativedelta
import datetime as dt
# 1.1
def df_groupby(df, groupkey, col, func, res_col_name, asint=False, dup=False):
"""
:param df: 一个df 征对 1+ 用户
:param groupkey: df中聚合分类的变量名
:param col: df中待聚合的变量名，字符串或者列表
:param func: 聚合方式，支持sum /max /min /avg /count/ distinct_count
:param res_col_name: 聚合结果列名，字符串或者列表
:param asint: if asint=True ,聚合结果转为int ;default asint=False;
:param dup: if dup=True ,变量取值去重 ;default dup=False;
:return:df_res df
"""
# dropna all row
df = df.dropna(axis=0, how='all')
# reformat type
try:
if func != 'count' and func != 'distinct_count':
df[col] = df[col].astype('float32')
except ValueError:
print('the col could not convert string to float!')
# duplicate the col
if dup:
df = df.drop_duplicates(df.columns)
# compatible str
if type(col) != list:
col = [col]
if type(res_col_name) != list:
res_col_name = [res_col_name]
if type(func) != list:
func = [func]
# agg index
df_res = DataFrame(df[groupkey].unique(), columns=[groupkey])
for i in func:
if i == 'sum':
df_res_ago = DataFrame(df.groupby(groupkey)[col].sum())
elif i == 'max':
df_res_ago = DataFrame(df.groupby(groupkey)[col].max())
elif i == 'min':
df_res_ago = DataFrame(df.groupby(groupkey)[col].min())
elif i == 'avg':
df_res_ago = DataFrame(df.groupby(groupkey)[col].mean())
elif i == 'std':
df_res_ago = DataFrame(df.groupby(groupkey)[col].std())
elif i == 'count':
df_res_ago = DataFrame(df.groupby(groupkey)[col].count())
elif i == 'distinct_count':
df_res_ago = DataFrame(df.groupby(groupkey)[col].nunique())
else:
print('input func error!')
df_res_ago = df_res_ago.reset_index()
df_res = pd.merge(df_res, df_res_ago, how='left', on=groupkey)
columns_list = [groupkey]
columns_list.extend(res_col_name)
df_res.columns = columns_list
if asint:
df_res[res_col_name] = df_res[res_col_name].astype(int)
return df_res
# use example
# df_groupby(df,'appl_no', 'phone_gray_score', 'sum', 'phone_gray_score_sum', dup=False, asint=False)
# df_groupby(df,'appl_no', ['phone_gray_score'], ['sum'], ['phone_gray_score_sum'], dup=False, asint=False)
# df_groupby(df,'appl_no', ['register_cnt','phone_gray_score'], ['sum'], ['register_cnt_sum','phone_gray_score_sum'], dup=False, asint=False)
# df_groupby(df,'appl_no', ['register_cnt','phone_gray_score'], ['sum','avg','count'], ['register_cnt_sum','phone_gray_score_sum','register_cnt_avg','phone_gray_score_avg','register_cnt_count','phone_gray_score_count'], dup=False, asint=False)
# 1.2.1
def col_dummy(x, col, dummy_dict=[]):
"""
function about:变量编码功能函数集
by boysgs @20171103
:param x: 一个数值
:param col: df中需重新编码的变量名
:param dummy_dict: 列表，变量所有取值组成，示例['value_1','value_2']
:return:col_dummy_dict
"""
dummy_dict_sorted = sorted(dummy_dict)
dummy_dict_sorted_key = np.array(['_'.join(['if', col, i]) for i in dummy_dict_sorted])
dummy_dict_sorted_value = [0] * len(dummy_dict_sorted_key)
col_dummy_zip = zip(dummy_dict_sorted_key, dummy_dict_sorted_value)
col_dummy_dict = dict((a, b) for a, b in col_dummy_zip)
#
if x in dummy_dict_sorted:
col_dummy_dict['_'.join(['if', col, x])] = 1
return col_dummy_dict
# use example
# df = pd.DataFrame({'col1': [1, np.nan, 2, 3], 'col2': [3, 4, 5, 1], 'col3': ['s', 'a', 'c', 'd']})
# dummy_dict = ['a', 'b', 'c', 'd', 's']
# col = 'col3'
# DataFrame(list(df[col].apply(lambda x: col_dummy(x, col, dummy_dict))))
# 1.2.2
def col_dummy_lb(x, lb_trans, sorted_dummy_varname_list=[]):
"""
function about:变量编码功能函数集（使用LabelBinarizer方法）
by boysgs @20171103
:param x: 一个数值
:param lb_trans: 一个变量利用preprocessing.LabelBinarizer 方法生成的对象
:param sorted_dummy_varname_list: 列表，升序排列的变量所有取值组成，示例['value_1','value_2']
:return:col_dummy_dict 字典
"""
dummy_value = lb_trans.transform(str([x]))
col_dummy_dict = dict(zip(sorted_dummy_varname_list, dummy_value[0]))
return col_dummy_dict
# 2.1
def meetOneCondition(x,symbol = '=',threshold = ('None','b')):
"""
# 输入:
# 变量名：年龄
# 符号：=，！=，>，< , >=, <= , in , not in，like, not like
# 阈值：10,(10,11),'%10%'
# 输出
# 满足条件输出1，否则输出0
"""
if pd.isnull(x) or x == '':
if symbol in ['!=','not in ','not like'] and threshold!='None':
return 1
elif threshold=='None':
if symbol == '=':
return 1
elif symbol == '!=':
return 0
else:
return 0
elif symbol == '=':
if threshold=='None':
return 0
elif x == threshold:
return 1
else:
return 0
elif symbol == '!=':
if threshold=='None':
return 1
elif x != threshold:
return 1
else:
return 0
elif symbol == '>':
if x > threshold:
return 1
else:
return 0
elif symbol == '<':
if x < threshold:
return 1
else:
return 0
elif symbol == '>=':
if x >= threshold:
return 1
else:
return 0
elif symbol == '<=':
if x <= threshold:
return 1
else:
return 0
elif symbol == 'in':
if x in threshold:
return 1
else:
return 0
elif symbol == 'not in':
if x not in threshold:
return 1
else:
return 0
elif symbol == 'like':
if threshold[0] == '%' and threshold[-1] == '%':
if threshold[1:-1] in x:
return 1
else:
return 0
if threshold[0] == '%' and threshold[-1] != '%':
if threshold[1:] == x[len(x)-len(threshold[1:]):]:
return 1
else:
return 0
if threshold[0] != '%' and threshold[-1] == '%':
if threshold[0:-1] == x[0:len(threshold[0:-1])]:
return 1
else:
return 0
else:
return 'you need cheack your "like" threshold'
elif symbol == 'not like':
if threshold[0] == '%' and threshold[-1] == '%':
if threshold[1:-1] not in x:
return 1
else:
return 0
if threshold[0] == '%' and threshold[-1] != '%':
if threshold[1:] != x[len(x)-len(threshold[1:]):]:
return 1
else:
return 0
if threshold[0] != '%' and threshold[-1] == '%':
if threshold[0:-1] != x[0:len(threshold[0:-1])]:
return 1
else:
return 0
else:
return 'you need cheack your "not like" threshold'
elif symbol =='regex':
if re.search(threshold,x):
return 1
else:
return 0
else:
return 'please contact the developer for increaing then type of the symbol'
# test:
# x = 'abcde'
# meetOneCondition(x,'=','abcd2')
# meetOneCondition(x,'like','abc%')
# meetOneCondition(x,'like','%abc')
# meetOneCondition(x,'regex','b|adz|z')
# 2.2
def meetMultiCondition(condition = ((),'and',())):
"""
# 输入
# 多个条件，单个条件参考meetOneCondition中的
# 例子 condition = ( ('age','>=',18), 'and', ( ('age','<=',40),'or',('gender','=','female') ) )
# 输出
# 满足条件输出1，否则输出0
"""
if 'and' in condition:
a = [k for k in condition if k!='and']
b = []
for l in range(len(a)):
b.append(meetMultiCondition(a[l]))
if 0 in b:
return 0
else:
return 1
if 'or' in condition:
a = [k for k in condition if k != 'or']
b = []
for l in range(len(a)):
b.append(meetMultiCondition(a[l]))
if 1 in b:
return 1
else:
return 0
else:
return meetOneCondition(condition[0],condition[1],condition[2])
# test
# zz ='abcde'
# yy = 10
# xx = 5
# meetMultiCondition(((zz,'=','abc'),'or',(yy,'>',7)))
# 2.3
def singleConditionalAssignment(conditon =('z','=',('None','b')),assig1=1, assig2=0):
"""
# 单条件赋值
# 输入
# 参考meetOneCondition的输入
# 例如：conditon = ('age','>=',18)
# 输出：
# 满足条件assig1
# 不满足条件assig2
"""
if meetOneCondition(conditon[0],conditon[1],conditon[2])==1:
return assig1
elif meetOneCondition(conditon[0], conditon[1], conditon[2]) == 0:
return assig2
else:
return meetOneCondition(conditon[0],conditon[1],conditon[2])
# test
# singleConditionalAssignment((x, '=', 'abcde'), 5, 1)
# 2.4
def multiConditionalAssignment(condition = (),assig1 = 1,assig2 = 0):
"""
# 多个条件赋值
###输入
##多个条件类似meetMultiCondition的输入
###输出：
##满足条件assig1
##不满足条件assig2
"""
if meetMultiCondition(condition)==1:
return assig1
else:
return assig2
# test
# xx=5
# multiConditionalAssignment(condition =((zz,'=','abcde'),'and',( (yy,'>',10), 'or', (xx,'=',5) )),assig1 = 999,assig2 = 0)
# 2.5
def multiConditionalMultAssignment(condition = ((('zz','not in', ('硕士','博士')),1),(('zz','not in', ('硕士','博士')),2)),assig = 0):
"""
####多个条件多个赋值
###输入
##多个条件类似meetMultiCondition的输入,再加一满足的取值
###输出：
##满足条件输出输入目标值
##不满足条件assig
"""
for l in condition:
if meetMultiCondition(l[0])==1:
return l[1]
return assig
# test
# multiConditionalMultAssignment((((zz,'=','abcdef'),1),((zz,'=','abcde'),2)),3)
# 3.1
def substring(string,length,pos_start=0):
"""
function about : 字符串截取
by dabao @20171106
:param string: 被截取字段
:param length: 截取长度
:param pos_start: 从第几位开始截取,defualt=0
:return: a string :substr
"""
pos_end = length + pos_start
if string is np.NaN:
return np.NaN
else:
str_type = type(string)
if str_type==str:
substr = string[pos_start:pos_end]
else:
string = str(string)
substr = string[pos_start:pos_end]
return substr
# test
# string=370321199103050629
# length=4
# pos_start=6
# substring(string,length,pos_start)
# string=np.NaN
# 3.2
def charindex(substr,string,pos_start=0):
"""
function about : 字符串位置查询
by dabao @20171106
:param substr
:param string: substr 在 string 起始位置
:param pos_start: 查找substr的开始位置,default=0
:return: a int :substr_index
"""
if string is np.NaN:
return np.NaN
else:
substr = str(substr)
string = str(string)
substr_index = string.find(substr,pos_start)
return substr_index
# test
# string='370321199103050629'
# substr='1991'
# charindex(substr,string)
# string.find(substr,0)
# 3.3
def trim(string,substr=' ',method='both'):
"""
function about : 删除空格或其他指定字符串
by dabao @20171106
:param string: a string
:param substr: 在string两端删除的指定字符串,default=' '
:param method: 删除方式:left 删除左边, right 删除右边, both 删除两边
:return: a string :string_alter
"""
if string is np.NaN:
return np.NaN
else:
substr = str(substr)
string = str(string)
if method in ['left','right','both']:
if method =='left':
string_alter = string.lstrip(substr)
elif method == 'right':
string_alter = string.rstrip(substr)
elif method == 'both':
string_alter = string.strip(substr)
else:
string_alter = string.strip(substr)
print("Warning: method must be in ['left','right','both']! If not, the function will be acting as 'both'")
return string_alter
# test:
# string=' OPPO,HUAWEI,VIVO,HUAWEI '
# trim(string)
# （4）计算字符串长度：SQL中的LEN（）函数 ,python自带 len()
# （5）字符串转换为大、小写：SQL 中的 LOWCASE,UPPER 语句,python自带函数 string.upper(),string.lower()
# 3.4
def OnlyCharNum(s,oth=''):
# 只显示字母与数字
s2 = s.lower()
fomart = 'abcdefghijklmnopqrstuvwxyz0123456789'
for c in s2:
if not c in fomart:
s = s.replace(c,'')
return s
# 4.1
def dateformat(date,symbol):
"""
输入:
变量名：时间,按照格式接收10位、19位
可选：'year','month','day','hour','minute','second'
输出
满足条件输出值，否则报错
"""
if pd.isnull(date):
return np.NaN
date = str(date)
if len(date)==10:
date=date+' 00:00:00'
date=dt.datetime.strptime(date,'%Y-%m-%d %H:%M:%S')
if symbol in ['year','month','day','hour','minute','second']:
if symbol =='year':
datetime_elect = date.year
elif symbol == 'month':
datetime_elect = date.month
elif symbol == 'day':
datetime_elect = date.day
elif symbol == 'hour':
datetime_elect = date.hour
elif symbol == 'minute':
datetime_elect = date.minute
elif symbol == 'second':
datetime_elect = date.second
else:
datetime_elect = np.NaN
print("Warning: symbol must be in ['year','month','day','hour','minute','second']! If not, the function will be acting as 'both'")
return datetime_elect
# test1:
# dateformat('2017-09-25 12:58:45','day')
# dateformat('2017-09-25 12:58:45','hour')
# dateformat('2017-09-25','day')
# dateformat(null,'hour')
# 4.2
def datediff(symbol,date_begin,date_end):
"""
输入:
变量名：时间,按照格式接收10位、19位
可选：'year','month','day','hour','minute','second'
输出
满足条件输出值，否则报错
"""
if pd.isnull(date_begin) or pd.isnull(date_end):
return np.NaN
date_begin = str(date_begin)
date_end = str(date_end)
if len(date_begin)==4:
date_begin=date_begin+'-01-01 00:00:00'
if len(date_end)==4:
date_end=date_end+'-01-01 00:00:00'
if len(date_begin)==7:
date_begin=date_begin+'-01 00:00:00'
if len(date_end)==7:
date_end=date_end+'-01 00:00:00'
if len(date_begin)==10:
date_begin=date_begin+' 00:00:00'
if len(date_end)==10:
date_end=date_end+' 00:00:00'
date_begin=dt.datetime.strptime(date_begin,'%Y-%m-%d %H:%M:%S')
date_end=dt.datetime.strptime(date_end,'%Y-%m-%d %H:%M:%S')
if symbol in ['year','month','day','hour','minute','second']:
r = relativedelta.relativedelta(date_end,date_begin)
if symbol =='year':
datetime_diff=r.years
elif symbol == 'month':
datetime_diff=r.years*12+r.months
elif symbol == 'day':
datetime_diff = (date_end-date_begin).days
elif symbol == 'hour':
datetime_days = (date_end-date_begin).days
datetime_seconds = (date_end-date_begin).seconds
datetime_diff = datetime_seconds/3600+datetime_days*24
elif symbol == 'minute':
datetime_days = (date_end-date_begin).days
datetime_seconds = (date_end-date_begin).seconds
datetime_diff=datetime_seconds/60+datetime_days*24*60
elif symbol == 'second':
datetime_days = (date_end-date_begin).days
datetime_seconds = (date_end-date_begin).seconds
datetime_diff=datetime_seconds+datetime_days*24*60*60
else:
datetime_diff = np.NaN
print("Warning: symbol must be in ['year','month','day','hour','minute','second']! If not, the function will be acting as 'both'")
return datetime_diff
# test
# datediff('month','2013','2017-09-25 12:58:45')
# datediff('day','2017-09-25','2017-12-30')
# datediff('hour','2017-09-15 10:58:45','2017-09-25 12:58:45')
# datediff('day','2017-09-25','2017-12-30 12:58:45') | [
"l"
] | l |
b3fb5072be2c9803b039ffc66f3bf3a06a4247b1 | 4755dabdcff6a45b9c15bf9ea814c6b8037874bd | /devel/lib/python2.7/dist-packages/snakebot_position_control/msg/__init__.py | 7e50b3d802aa4cf5d4063bde91254d3fba75ff3c | [] | no_license | Rallstad/RobotSnake | 676a97bdfde0699736d613e73d539929a0c2b492 | 37ee6d5af0458b855acf7c2b83e0ee17833dbfd1 | refs/heads/master | 2023-01-03T05:46:46.268422 | 2018-05-27T16:01:47 | 2018-05-27T16:01:47 | 308,665,980 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38 | py | from ._PositionControlEffort import *
| [
"[email protected]"
] | |
828540d2bb15e92786f7d4e9d29d60f51087bb38 | 908cf8e6ef52033bbf3d5afbb29637a25f5d66f8 | /test/test_codat_data_contracts_datasets_journal_entry_paged_response_model.py | 2fed4e4b1c7bd6ead4aef71f66240ef4f130e40b | [] | no_license | procurify/codat-python-sdk | 074769a2d9e72640741689b6f51e880d35b88095 | 3c8f664998427bda32bad8062c3bf324f39506da | refs/heads/master | 2023-08-25T03:55:19.817085 | 2021-10-22T22:14:34 | 2021-10-22T22:14:34 | 395,381,471 | 1 | 0 | null | 2021-10-20T21:10:31 | 2021-08-12T16:31:03 | Python | UTF-8 | Python | false | false | 1,570 | py | """
Codat API
[What's changed in our Swagger](https://docs.codat.io/docs/new-swagger-ui) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import codat_python_sdk
from codat_python_sdk.model.codat_data_contracts_datasets_journal_entry import CodatDataContractsDatasetsJournalEntry
from codat_python_sdk.model.codat_data_contracts_datasets_journal_entry_paged_response_links_model import CodatDataContractsDatasetsJournalEntryPagedResponseLinksModel
globals()['CodatDataContractsDatasetsJournalEntry'] = CodatDataContractsDatasetsJournalEntry
globals()['CodatDataContractsDatasetsJournalEntryPagedResponseLinksModel'] = CodatDataContractsDatasetsJournalEntryPagedResponseLinksModel
from codat_python_sdk.model.codat_data_contracts_datasets_journal_entry_paged_response_model import CodatDataContractsDatasetsJournalEntryPagedResponseModel
class TestCodatDataContractsDatasetsJournalEntryPagedResponseModel(unittest.TestCase):
"""CodatDataContractsDatasetsJournalEntryPagedResponseModel unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testCodatDataContractsDatasetsJournalEntryPagedResponseModel(self):
"""Test CodatDataContractsDatasetsJournalEntryPagedResponseModel"""
# FIXME: construct object with mandatory attributes with example values
# model = CodatDataContractsDatasetsJournalEntryPagedResponseModel() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
1bcbcbfe92659458a764c39a0f71f668340971fc | 2b0eab74af8d23244ff11699830f9bb10fbd717a | /accounts/perms.py | bd00bb6b63018efa7cc39d7709ce8ee5829b7d04 | [] | no_license | alexandrenorman/mixeur | c7e25cd20b03c78b361cb40e3e359a6dc5d9b06b | 95d21cd6036a99c5f399b700a5426e9e2e17e878 | refs/heads/main | 2023-03-13T23:50:11.800627 | 2021-03-07T15:49:15 | 2021-03-07T15:49:15 | 345,384,858 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,451 | py | # -*- coding: utf-8 -*-
from simple_perms import PermissionLogic, register
from helpers.mixins import BasicPermissionLogicMixin
class UserPermissionLogic(BasicPermissionLogicMixin, PermissionLogic):
def view(self, user, user_to_view, *args):
if user_to_view == user:
return True
if user.is_client or user.is_professional:
return False
if user.is_administrator or user.is_advisor or user.is_manager:
return True
return self.admin_permission(user, user_to_view, *args)
def change(self, user, user_to_modify, *args):
if user_to_modify == user:
return True
if user.is_client or user.is_professional:
return False
if user.is_administrator:
return True
# Allow same group modifications
if user_to_modify.group is not None and user_to_modify.group.is_member(user):
if user.is_advisor and user_to_modify.is_advisor:
return True
if user.is_manager and (
user_to_modify.is_advisor or user_to_modify.is_manager
):
return True
if (user.is_advisor or user.is_manager) and user_to_modify.is_client:
return True
if (
user.is_manager
and user_to_modify.is_advisor
and user_to_modify.group.admin_group == user.group
and user.group.is_admin
):
return True
if (
user.is_manager
and user_to_modify.is_manager
and user_to_modify.group == user.group
):
return True
return self.admin_permission(user, user_to_modify, *args)
def change_user_type(self, user, *args):
"""
Perm for user to change user_type for user_modified
Parameters
----------
user : User
args : Dict(user_modified, to_user_type)
"""
user_modified = args[0]["user_modified"]
to_user_type = args[0]["to_user_type"]
if user.is_client or user.is_professional:
return False
if user_modified.is_client or user_modified.is_professional:
return False
if to_user_type == "client" or to_user_type == "professional":
return False
if user.is_administrator:
return True
if user.is_manager:
if (
user_modified.is_advisor
or user_modified.is_superadvisor
or user_modified.is_manager
and user_modified.group.is_member(user)
):
if to_user_type in ["advisor", "superadvisor", "manager"]:
return True
if (
user.is_superadvisor
and to_user_type in ["advisor", "superadvisor"]
and user_modified.is_advisor
):
return True
return self.admin_permission(user, user_modified, *args)
register("user", UserPermissionLogic)
register("accounts/user", UserPermissionLogic)
class RgpdConsentPermissionLogic(BasicPermissionLogicMixin, PermissionLogic):
def view(self, user, rgpdconsent, *args):
if rgpdconsent.user == user:
return True
return self.admin_permission(user, rgpdconsent, *args)
change = view
register("rgpdconsent", RgpdConsentPermissionLogic)
register("accounts/rgpdconsent", RgpdConsentPermissionLogic)
class GroupPermissionLogic(BasicPermissionLogicMixin, PermissionLogic):
def view(self, user, group, *args):
if user.is_anonymous:
return False
if user.is_administrator:
return True
if user.is_advisor or user.is_manager:
return True
return self.admin_permission(user, group, *args)
def create(self, user, group, group_data, *args):
if user.is_anonymous:
return False
if user.is_administrator:
return True
if user.is_manager:
if not group_data:
return False
if user.group is not None:
if group is not None:
if group.admin_group.pk == user.group.pk:
return True
return self.admin_permission(user, None, *args)
def change(self, user, group, *args):
if user.is_anonymous:
return False
if user.is_administrator:
return True
if (
user.is_manager
and user.group is not None
and group.admin_group == user.group
):
return True
return self.admin_permission(user, group, *args)
def partial_change(self, user, group, *args):
"""
change only some fiels on group
"""
if user.is_advisor and user.group is not None and group == user.group:
return True
return self.admin_permission(user, group, *args)
register("group", GroupPermissionLogic)
register("accounts/group", GroupPermissionLogic)
class GroupPlacePermissionLogic(BasicPermissionLogicMixin, PermissionLogic):
def view(self, user, group, *args):
if user.is_anonymous:
return False
if user.is_expert:
return True
return self.admin_permission(user, group, *args)
register("group_place", GroupPlacePermissionLogic)
register("accounts/group_place", GroupPlacePermissionLogic)
| [
"[email protected]"
] | |
4113853c20a7674a37b502b73ee6d10f9288b8e6 | 82b946da326148a3c1c1f687f96c0da165bb2c15 | /sdk/python/pulumi_azure_native/eventgrid/v20200101preview/get_event_subscription.py | 80b0097a55e3921372b7d0b2fecda5f6ee7bbc0b | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | morrell/pulumi-azure-native | 3916e978382366607f3df0a669f24cb16293ff5e | cd3ba4b9cb08c5e1df7674c1c71695b80e443f08 | refs/heads/master | 2023-06-20T19:37:05.414924 | 2021-07-19T20:57:53 | 2021-07-19T20:57:53 | 387,815,163 | 0 | 0 | Apache-2.0 | 2021-07-20T14:18:29 | 2021-07-20T14:18:28 | null | UTF-8 | Python | false | false | 8,537 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
__all__ = [
'GetEventSubscriptionResult',
'AwaitableGetEventSubscriptionResult',
'get_event_subscription',
]
@pulumi.output_type
class GetEventSubscriptionResult:
"""
Event Subscription
"""
def __init__(__self__, dead_letter_destination=None, destination=None, event_delivery_schema=None, expiration_time_utc=None, filter=None, id=None, labels=None, name=None, provisioning_state=None, retry_policy=None, topic=None, type=None):
if dead_letter_destination and not isinstance(dead_letter_destination, dict):
raise TypeError("Expected argument 'dead_letter_destination' to be a dict")
pulumi.set(__self__, "dead_letter_destination", dead_letter_destination)
if destination and not isinstance(destination, dict):
raise TypeError("Expected argument 'destination' to be a dict")
pulumi.set(__self__, "destination", destination)
if event_delivery_schema and not isinstance(event_delivery_schema, str):
raise TypeError("Expected argument 'event_delivery_schema' to be a str")
pulumi.set(__self__, "event_delivery_schema", event_delivery_schema)
if expiration_time_utc and not isinstance(expiration_time_utc, str):
raise TypeError("Expected argument 'expiration_time_utc' to be a str")
pulumi.set(__self__, "expiration_time_utc", expiration_time_utc)
if filter and not isinstance(filter, dict):
raise TypeError("Expected argument 'filter' to be a dict")
pulumi.set(__self__, "filter", filter)
if id and not isinstance(id, str):
raise TypeError("Expected argument 'id' to be a str")
pulumi.set(__self__, "id", id)
if labels and not isinstance(labels, list):
raise TypeError("Expected argument 'labels' to be a list")
pulumi.set(__self__, "labels", labels)
if name and not isinstance(name, str):
raise TypeError("Expected argument 'name' to be a str")
pulumi.set(__self__, "name", name)
if provisioning_state and not isinstance(provisioning_state, str):
raise TypeError("Expected argument 'provisioning_state' to be a str")
pulumi.set(__self__, "provisioning_state", provisioning_state)
if retry_policy and not isinstance(retry_policy, dict):
raise TypeError("Expected argument 'retry_policy' to be a dict")
pulumi.set(__self__, "retry_policy", retry_policy)
if topic and not isinstance(topic, str):
raise TypeError("Expected argument 'topic' to be a str")
pulumi.set(__self__, "topic", topic)
if type and not isinstance(type, str):
raise TypeError("Expected argument 'type' to be a str")
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="deadLetterDestination")
def dead_letter_destination(self) -> Optional['outputs.StorageBlobDeadLetterDestinationResponse']:
"""
The DeadLetter destination of the event subscription.
"""
return pulumi.get(self, "dead_letter_destination")
@property
@pulumi.getter
def destination(self) -> Optional[Any]:
"""
Information about the destination where events have to be delivered for the event subscription.
"""
return pulumi.get(self, "destination")
@property
@pulumi.getter(name="eventDeliverySchema")
def event_delivery_schema(self) -> Optional[str]:
"""
The event delivery schema for the event subscription.
"""
return pulumi.get(self, "event_delivery_schema")
@property
@pulumi.getter(name="expirationTimeUtc")
def expiration_time_utc(self) -> Optional[str]:
"""
Expiration time of the event subscription.
"""
return pulumi.get(self, "expiration_time_utc")
@property
@pulumi.getter
def filter(self) -> Optional['outputs.EventSubscriptionFilterResponse']:
"""
Information about the filter for the event subscription.
"""
return pulumi.get(self, "filter")
@property
@pulumi.getter
def id(self) -> str:
"""
Fully qualified identifier of the resource
"""
return pulumi.get(self, "id")
@property
@pulumi.getter
def labels(self) -> Optional[Sequence[str]]:
"""
List of user defined labels.
"""
return pulumi.get(self, "labels")
@property
@pulumi.getter
def name(self) -> str:
"""
Name of the resource
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> str:
"""
Provisioning state of the event subscription.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter(name="retryPolicy")
def retry_policy(self) -> Optional['outputs.RetryPolicyResponse']:
"""
The retry policy for events. This can be used to configure maximum number of delivery attempts and time to live for events.
"""
return pulumi.get(self, "retry_policy")
@property
@pulumi.getter
def topic(self) -> str:
"""
Name of the topic of the event subscription.
"""
return pulumi.get(self, "topic")
@property
@pulumi.getter
def type(self) -> str:
"""
Type of the resource
"""
return pulumi.get(self, "type")
class AwaitableGetEventSubscriptionResult(GetEventSubscriptionResult):
# pylint: disable=using-constant-test
def __await__(self):
if False:
yield self
return GetEventSubscriptionResult(
dead_letter_destination=self.dead_letter_destination,
destination=self.destination,
event_delivery_schema=self.event_delivery_schema,
expiration_time_utc=self.expiration_time_utc,
filter=self.filter,
id=self.id,
labels=self.labels,
name=self.name,
provisioning_state=self.provisioning_state,
retry_policy=self.retry_policy,
topic=self.topic,
type=self.type)
def get_event_subscription(event_subscription_name: Optional[str] = None,
scope: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetEventSubscriptionResult:
"""
Event Subscription
:param str event_subscription_name: Name of the event subscription
:param str scope: The scope of the event subscription. The scope can be a subscription, or a resource group, or a top level resource belonging to a resource provider namespace, or an EventGrid topic. For example, use '/subscriptions/{subscriptionId}/' for a subscription, '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}' for a resource group, and '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}' for a resource, and '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.EventGrid/topics/{topicName}' for an EventGrid topic.
"""
__args__ = dict()
__args__['eventSubscriptionName'] = event_subscription_name
__args__['scope'] = scope
if opts is None:
opts = pulumi.InvokeOptions()
if opts.version is None:
opts.version = _utilities.get_version()
__ret__ = pulumi.runtime.invoke('azure-native:eventgrid/v20200101preview:getEventSubscription', __args__, opts=opts, typ=GetEventSubscriptionResult).value
return AwaitableGetEventSubscriptionResult(
dead_letter_destination=__ret__.dead_letter_destination,
destination=__ret__.destination,
event_delivery_schema=__ret__.event_delivery_schema,
expiration_time_utc=__ret__.expiration_time_utc,
filter=__ret__.filter,
id=__ret__.id,
labels=__ret__.labels,
name=__ret__.name,
provisioning_state=__ret__.provisioning_state,
retry_policy=__ret__.retry_policy,
topic=__ret__.topic,
type=__ret__.type)
| [
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] | |
a65604c0deab61126203e90bd4b92e397c7b27c7 | 73c9537b3e2dd9c57e581d474b9e2daf7a8fb02a | /petccenv/lib/python3.4/site-packages/django_summernote/__init__.py | c63655d2b511e883b3efacf6fa71393ea01972ab | [] | no_license | pviniciusm/petcc | 8f6ec2966729051f11b482c4c7ed522df3f920ba | 30ccddce6d0e39ccea492ac73b2ddca855c63cee | refs/heads/master | 2021-01-21T13:29:52.835434 | 2016-04-23T18:06:07 | 2016-04-23T18:06:07 | 54,607,007 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | version_info = (0, 8, 2)
__version__ = version = '.'.join(map(str, version_info))
__project__ = PROJECT = 'django-summernote'
__author__ = AUTHOR = "Park Hyunwoo <[email protected]>"
default_app_config = 'django_summernote.apps.DjangoSummernoteConfig'
| [
"[email protected]"
] | |
f179eade30c3bd9c2fd92c1dcafbdf2683622c47 | 635cb7fb75048f9de7b95b48d1f59de68f9b3368 | /R01/sortowanie_obiektów_bez_wbudowanej_obsługi_porównań/example.py | 7641bed7b8787e11f23a4ef78d74ba00e90b1ae8 | [] | no_license | anpadoma/python_receptury3 | 9e889ac503e48eb62160050eecfdc4a64072c184 | c761f2c36707785a8a70bdaccebd7533c76dee21 | refs/heads/master | 2021-01-22T14:38:34.718999 | 2014-01-31T22:09:44 | 2014-01-31T22:09:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 327 | py | from operator import attrgetter
class User:
def __init__(self, user_id):
self.user_id = user_id
def __repr__(self):
return 'User({})'.format(self.user_id)
# Przykład
users = [User(23), User(3), User(99)]
print(users)
# Sortowanie według pola user-id
print(sorted(users, key=attrgetter('user_id')))
| [
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] | |
b539a324c93a3ce5b5b5feedc5d1287601d63ffd | 0b4957de738dd05f964ea838016b4b811feca970 | /tests/utils/test_utils_shell.py | fdae13b81ae7f8e06716a3e3f09b9ce5f7a76e6a | [
"MIT",
"Apache-2.0"
] | permissive | bossjones/ultron8 | bdb5db72ba58b80645ae417cdf97287cfadd325d | 09d69c788110becadb9bfaa7b3d2a2046f6b5a1c | refs/heads/master | 2023-01-13T06:52:45.679582 | 2023-01-03T22:25:54 | 2023-01-03T22:25:54 | 187,934,920 | 0 | 0 | Apache-2.0 | 2023-01-03T22:25:56 | 2019-05-22T00:44:03 | Python | UTF-8 | Python | false | false | 1,008 | py | """Test shell utils"""
# pylint: disable=protected-access
import logging
import pytest
from six.moves import zip
from ultron8.utils.shell import quote_unix
logger = logging.getLogger(__name__)
@pytest.mark.utilsonly
@pytest.mark.unittest
class TestShellUtilsTestCase:
def test_quote_unix(self):
arguments = ["foo", "foo bar", "foo1 bar1", '"foo"', '"foo" "bar"', "'foo bar'"]
expected_values = [
"""
foo
""",
"""
'foo bar'
""",
"""
'foo1 bar1'
""",
"""
'"foo"'
""",
"""
'"foo" "bar"'
""",
"""
''"'"'foo bar'"'"''
""",
]
for argument, expected_value in zip(arguments, expected_values):
actual_value = quote_unix(value=argument)
expected_value = expected_value.lstrip()
assert actual_value == expected_value.strip()
| [
"[email protected]"
] | |
8f98de03e4669f0cea77fa4b917683db4d9be640 | 1f256bf20e68770c1a74f7e41ef6730623db0c74 | /location_management/migrations/0001_initial.py | 4015d233eb0c002e111dfd9acab22eacef6e3268 | [
"MIT"
] | permissive | davtoh/enterprise-website | 380ea32b730f16b7157e59ca0dc1e86d1f10e4a8 | 00b6c42cd6cb01517c152b9ffce9cfb56744703d | refs/heads/master | 2021-06-05T09:20:27.721789 | 2021-05-05T04:58:04 | 2021-05-05T05:14:05 | 141,315,681 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,933 | py | # Generated by Django 2.0.6 on 2018-07-05 23:29
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cities',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('latitude', models.DecimalField(decimal_places=8, max_digits=10)),
('longitude', models.DecimalField(decimal_places=8, max_digits=11)),
],
),
migrations.CreateModel(
name='Countries',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('code', models.CharField(max_length=10)),
],
),
migrations.CreateModel(
name='States',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('code', models.CharField(max_length=10)),
('country', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='location_management.Countries')),
],
),
migrations.AddField(
model_name='cities',
name='country',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='location_management.Countries'),
),
migrations.AddField(
model_name='cities',
name='state',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='location_management.States'),
),
]
| [
"[email protected]"
] | |
1a442845be688845257b798f6b9a0bb3d80717e6 | 8c7efb37b53717c228a017e0799eb477959fb8ef | /wmm/scenario/migrations/0116_auto__add_field_tidalenergyparameter_ordering__add_field_pelagicconser.py | 6686340589e48b393339faa86cbcd5a5df0aba84 | [] | no_license | rhodges/washington-marinemap | d3c9b24265b1a0800c7dcf0163d22407328eff57 | e360902bc41b398df816e461b3c864520538a226 | refs/heads/master | 2021-01-23T11:47:50.886681 | 2012-09-24T18:38:33 | 2012-09-24T18:38:33 | 32,354,397 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 35,555 | py | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'TidalEnergyParameter.ordering'
db.add_column('scenario_tidalenergyparameter', 'ordering', self.gf('django.db.models.fields.IntegerField')(null=True, blank=True), keep_default=False)
# Adding field 'PelagicConservationParameter.ordering'
db.add_column('scenario_pelagicconservationparameter', 'ordering', self.gf('django.db.models.fields.IntegerField')(null=True, blank=True), keep_default=False)
# Adding field 'OffshoreConservationParameter.ordering'
db.add_column('scenario_offshoreconservationparameter', 'ordering', self.gf('django.db.models.fields.IntegerField')(null=True, blank=True), keep_default=False)
# Adding field 'NearshoreConservationParameter.ordering'
db.add_column('scenario_nearshoreconservationparameter', 'ordering', self.gf('django.db.models.fields.IntegerField')(null=True, blank=True), keep_default=False)
# Adding field 'WaveEnergyParameter.ordering'
db.add_column('scenario_waveenergyparameter', 'ordering', self.gf('django.db.models.fields.IntegerField')(null=True, blank=True), keep_default=False)
def backwards(self, orm):
# Deleting field 'TidalEnergyParameter.ordering'
db.delete_column('scenario_tidalenergyparameter', 'ordering')
# Deleting field 'PelagicConservationParameter.ordering'
db.delete_column('scenario_pelagicconservationparameter', 'ordering')
# Deleting field 'OffshoreConservationParameter.ordering'
db.delete_column('scenario_offshoreconservationparameter', 'ordering')
# Deleting field 'NearshoreConservationParameter.ordering'
db.delete_column('scenario_nearshoreconservationparameter', 'ordering')
# Deleting field 'WaveEnergyParameter.ordering'
db.delete_column('scenario_waveenergyparameter', 'ordering')
models = {
'auth.group': {
'Meta': {'object_name': 'Group'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
'auth.permission': {
'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'scenario.category': {
'Meta': {'object_name': 'Category'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '70', 'null': 'True', 'blank': 'True'})
},
'scenario.chlorophyl': {
'Meta': {'object_name': 'Chlorophyl'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.conservationobjective': {
'Meta': {'object_name': 'ConservationObjective'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'objective': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Objective']", 'null': 'True', 'blank': 'True'})
},
'scenario.conservationsite': {
'Meta': {'object_name': 'ConservationSite'},
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'scenario_conservationsite_related'", 'null': 'True', 'to': "orm['contenttypes.ContentType']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'geometry_final': ('django.contrib.gis.db.models.fields.PolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'geometry_orig': ('django.contrib.gis.db.models.fields.PolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'manipulators': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': "'255'"}),
'object_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'sharing_groups': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'scenario_conservationsite_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['auth.Group']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'scenario_conservationsite_related'", 'to': "orm['auth.User']"})
},
'scenario.depthclass': {
'Meta': {'object_name': 'DepthClass'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.energyobjective': {
'Meta': {'object_name': 'EnergyObjective'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'objective': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Objective']", 'null': 'True', 'blank': 'True'})
},
'scenario.geomorphology': {
'Meta': {'object_name': 'Geomorphology'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.mos': {
'Meta': {'object_name': 'MOS'},
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'scenario_mos_related'", 'null': 'True', 'to': "orm['contenttypes.ContentType']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'input_chlorophyl_pelagic_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Chlorophyl']", 'null': 'True', 'blank': 'True'}),
'input_depth_class_offshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'MOSOffshoreConservationDepthClass'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['scenario.DepthClass']"}),
'input_dist_astoria_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_astoria_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_astoria_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_hoquium_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_hoquium_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_hoquium_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_port_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_port_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_port_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_shore_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_shore_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_shore_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_ecosystem_nearshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreEcosystem']", 'null': 'True', 'blank': 'True'}),
'input_exposure_nearshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreExposure']", 'null': 'True', 'blank': 'True'}),
'input_geomorphology_offshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'MOSOffshoreConservationGeomorphology'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['scenario.Geomorphology']"}),
'input_max_depth_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_depth_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_depth_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_tidalmax_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_tidalmean_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_wavesummer_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_wavewinter_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_depth_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_depth_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_depth_wind_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_tidalmax_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_tidalmean_tidal_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_wavesummer_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_wavewinter_wave_energy': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_objectives': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Objective']", 'null': 'True', 'blank': 'True'}),
'input_objectives_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.ConservationObjective']", 'null': 'True', 'blank': 'True'}),
'input_objectives_energy': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.EnergyObjective']", 'null': 'True', 'blank': 'True'}),
'input_parameters_nearshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['scenario.NearshoreConservationParameter']", 'symmetrical': 'False'}),
'input_parameters_offshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['scenario.OffshoreConservationParameter']", 'symmetrical': 'False'}),
'input_parameters_pelagic_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['scenario.PelagicConservationParameter']", 'symmetrical': 'False'}),
'input_parameters_tidal_energy': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.TidalEnergyParameter']", 'null': 'True', 'blank': 'True'}),
'input_parameters_wave_energy': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['scenario.WaveEnergyParameter']", 'symmetrical': 'False'}),
'input_parameters_wind_energy': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['scenario.WindEnergyParameter']", 'symmetrical': 'False'}),
'input_substrate_nearshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreSubstrate']", 'null': 'True', 'blank': 'True'}),
'input_substrate_offshore_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'MOSOffshoreConservationSubstrate'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['scenario.Substrate']"}),
'input_substrate_tidal_energy': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.TidalSubstrate']", 'null': 'True', 'blank': 'True'}),
'input_substrate_wave_energy': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'MOSWaveEnergySubstrate'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['scenario.Substrate']"}),
'input_substrate_wind_energy': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'MOSWindEnergySubstrate'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['scenario.Substrate']"}),
'input_upwelling_pelagic_conservation': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Upwelling']", 'null': 'True', 'blank': 'True'}),
'input_wind_potential_wind_energy': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.WindPotential']", 'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': "'255'"}),
'object_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'overlap_geom': ('django.contrib.gis.db.models.fields.MultiPolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'scenarios': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Scenario']", 'null': 'True', 'blank': 'True'}),
'sharing_groups': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'scenario_mos_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['auth.Group']"}),
'support_file': ('django.db.models.fields.files.FileField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'scenario_mos_related'", 'to': "orm['auth.User']"})
},
'scenario.nearshoreconservationparameter': {
'Meta': {'object_name': 'NearshoreConservationParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.nearshoreconservationparameterarea': {
'Meta': {'object_name': 'NearshoreConservationParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.nearshoreecosystem': {
'Meta': {'object_name': 'NearshoreEcosystem'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.nearshoreexposure': {
'Meta': {'object_name': 'NearshoreExposure'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.nearshoresubstrate': {
'Meta': {'object_name': 'NearshoreSubstrate'},
'color': ('django.db.models.fields.CharField', [], {'default': "'778B1A55'", 'max_length': '8'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.objective': {
'Meta': {'object_name': 'Objective'},
'color': ('django.db.models.fields.CharField', [], {'default': "'778B1A55'", 'max_length': '8'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '70', 'null': 'True', 'blank': 'True'})
},
'scenario.offshoreconservationparameter': {
'Meta': {'object_name': 'OffshoreConservationParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.offshoreconservationparameterarea': {
'Meta': {'object_name': 'OffshoreConservationParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.parameter': {
'Meta': {'object_name': 'Parameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '70', 'null': 'True', 'blank': 'True'})
},
'scenario.pelagicconservationparameter': {
'Meta': {'object_name': 'PelagicConservationParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.pelagicconservationparameterarea': {
'Meta': {'object_name': 'PelagicConservationParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.scenario': {
'Meta': {'object_name': 'Scenario'},
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'scenario_scenario_related'", 'null': 'True', 'to': "orm['contenttypes.ContentType']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'geometry_final': ('django.contrib.gis.db.models.fields.MultiPolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'input_chlorophyl': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Chlorophyl']", 'null': 'True', 'blank': 'True'}),
'input_depth_class': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.DepthClass']", 'null': 'True', 'blank': 'True'}),
'input_dist_astoria': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_hoquium': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_port': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_dist_shore': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_geomorphology': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Geomorphology']", 'null': 'True', 'blank': 'True'}),
'input_max_depth': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_tidalmax': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_tidalmean': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_wavesummer': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_max_wavewinter': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_depth': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_tidalmax': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_tidalmean': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_wavesummer': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_min_wavewinter': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'input_nearshore_ecosystem': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreEcosystem']", 'null': 'True', 'blank': 'True'}),
'input_nearshore_exposure': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreExposure']", 'null': 'True', 'blank': 'True'}),
'input_nearshore_substrate': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.NearshoreSubstrate']", 'null': 'True', 'blank': 'True'}),
'input_objective': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Objective']"}),
'input_parameters': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'}),
'input_substrate': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Substrate']", 'null': 'True', 'blank': 'True'}),
'input_tidal_substrate': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.TidalSubstrate']", 'null': 'True', 'blank': 'True'}),
'input_upwelling': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.Upwelling']", 'null': 'True', 'blank': 'True'}),
'input_wind_potential': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['scenario.WindPotential']", 'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': "'255'"}),
'object_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'output_area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'output_geom': ('django.contrib.gis.db.models.fields.MultiPolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'output_mapcalc': ('django.db.models.fields.CharField', [], {'max_length': '720', 'null': 'True', 'blank': 'True'}),
'output_report': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'sharing_groups': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'scenario_scenario_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['auth.Group']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'scenario_scenario_related'", 'to': "orm['auth.User']"})
},
'scenario.substrate': {
'Meta': {'object_name': 'Substrate'},
'color': ('django.db.models.fields.CharField', [], {'default': "'778B1A55'", 'max_length': '8'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.tidalenergyparameter': {
'Meta': {'object_name': 'TidalEnergyParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.tidalenergyparameterarea': {
'Meta': {'object_name': 'TidalEnergyParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.tidalsubstrate': {
'Meta': {'object_name': 'TidalSubstrate'},
'color': ('django.db.models.fields.CharField', [], {'default': "'778B1A55'", 'max_length': '8'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.upwelling': {
'Meta': {'object_name': 'Upwelling'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'})
},
'scenario.waveenergyparameter': {
'Meta': {'object_name': 'WaveEnergyParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.waveenergyparameterarea': {
'Meta': {'object_name': 'WaveEnergyParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.windenergyparameter': {
'Meta': {'object_name': 'WindEnergyParameter'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'ordering': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'parameter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['scenario.Parameter']", 'null': 'True', 'blank': 'True'})
},
'scenario.windenergyparameterarea': {
'Meta': {'object_name': 'WindEnergyParameterArea'},
'area': ('django.db.models.fields.FloatField', [], {'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '70'})
},
'scenario.windenergysite': {
'Meta': {'object_name': 'WindEnergySite'},
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'scenario_windenergysite_related'", 'null': 'True', 'to': "orm['contenttypes.ContentType']"}),
'date_created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'date_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'geometry_final': ('django.contrib.gis.db.models.fields.PolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'geometry_orig': ('django.contrib.gis.db.models.fields.PolygonField', [], {'srid': '32610', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'manipulators': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': "'255'"}),
'object_id': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'sharing_groups': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'scenario_windenergysite_related'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['auth.Group']"}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'scenario_windenergysite_related'", 'to': "orm['auth.User']"})
},
'scenario.windpotential': {
'Meta': {'object_name': 'WindPotential'},
'density': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '30'}),
'short_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'null': 'True', 'blank': 'True'}),
'speed': ('django.db.models.fields.CharField', [], {'max_length': '30'})
}
}
complete_apps = ['scenario']
| [
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] | |
a811597869c088ec4c17da0719f6b9a3e9e8a9b8 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_46/83.py | 728c1c577aee018ba646a8511a4f62a6e9af6751 | [] | 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 | 2,459 | py | import psyco
psyco.full()
class memoize:
def __init__(self, function):
self.function = function
self.memoized = {}
def __call__(self, *args):
if args not in self.memoized:
self.memoized[args] = self.function(*args)
return self.memoized[args]
def clear(self):
self.memoized = {}
def alloc(size, default = 0): return [default] * size
def alloc2(r, c, default = 0): return [alloc(c, default)] * r
def isset(a, bit): return ((a >> bit) & 1) > 0
def dig(c): return ord(c) - 48
def abs(x):
if x<0: return -x;
return x
def area(x1, y1, x2, y2, x3, y3):
return abs((x3-x1)*(y2-y1) - (x2-x1)*(y3-y1))/2
def bisection(f, lo, hi):
"""
finds the integer x where f(x)=0.
assumes f is monotounous.
"""
while lo < hi:
mid = (lo+hi)//2
midval = f(mid)
if midval < 0:
lo = mid+1
elif midval > 0:
hi = mid
else:
return mid
return None
def minarg(f, args):
min_val = None
min_arg = None
for a in args:
temp=f(a)
if min_arg==None or temp<min_val:
min_val=temp
min_arg=a
return min_arg, min_val
#mat[i] = lowest row for the row currently at position i
def solve():
c=0
for i in range(N):
#print mat, c
#print "i=", i
if mat[i]>i:
for j in range(i+1, N):
if mat[j]<=i:
#print "replace", i, " with ", j
mat.insert(i, mat[j])
#print mat
del mat[j+1]
#mat[j]=None
c+=j-i
break
return c
from time import time
if __name__ == "__main__":
def getInts(): return map(int, input.readline().rstrip('\n').split(' '))
def getFloats(): return map(float, input.readline().rstrip('\n').split(' '))
def getMatrix(rows): return [getInts() for _ in range(rows)]
input, output = open("d:/gcj/in", "r"), open('d:/gcj/output', 'w')
start_time=time()
for case in range(1, int(input.readline()) + 1):
N, = getInts()
mat=[[int(d) for d in input.readline().rstrip('\n')] for _ in range(N)]
for i in range(N):
j=N-1
while j>0 and mat[i][j]==0:
j-=1
mat[i]=j
s="Case #%d: %d\n" % (case, solve())
print s
output.write(s)
print time()-start_time
| [
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] | |
677fb51759db8a07210bb76240c9cbab445670b8 | edcd74f8f65119bdbe737360c2ca33b4a6da160a | /python/problem-string/two_characters.py | 10b3ac19c02ca478f6a224f3f683e11fe2efc679 | [] | no_license | hyunjun/practice | 72e83de6a1d5e04ddcd16526f16110ea2dd00373 | 5376dd48b1cefb4faba9d2ef6a8a497b6b1d6c67 | refs/heads/master | 2023-08-31T07:00:37.320351 | 2023-08-17T07:29:24 | 2023-08-17T07:29:24 | 2,704,126 | 3 | 2 | null | 2022-12-14T20:25:07 | 2011-11-03T18:28:44 | Python | UTF-8 | Python | false | false | 1,698 | py | # https://www.hackerrank.com/challenges/two-characters
from collections import Counter
from collections import defaultdict
def alternate(s):
if s is None or 0 == len(s):
return 0
consecutiveSet = set()
for i, c in enumerate(s):
if 0 == i:
continue
if s[i - 1] == c:
consecutiveSet.add(c)
#print(consecutiveSet)
def isAlternating(cand):
for i, c in enumerate(cand):
if 0 == i:
continue
if cand[i - 1] == c:
return False
return True
cntDict = Counter([c for c in s if c not in consecutiveSet])
cntCharDict = defaultdict(list)
for c, cnt in cntDict.items():
cntCharDict[cnt].append(c)
sortedCntCharList = sorted(cntCharDict.items(), key=lambda t: t[0], reverse=True)
#print(sortedCntCharList)
for i, (cnt1, charList1) in enumerate(sortedCntCharList):
for j, (cnt2, charList2) in enumerate(sortedCntCharList):
if j < i or 1 < abs(cnt1 - cnt2):
continue
for ch1 in charList1:
for ch2 in charList2:
if ch1 == ch2:
continue
cand = [c for c in s if c == ch1 or c == ch2]
#print(cand)
if isAlternating(cand):
return len(cand)
return 0
data = [('abaacdabd', 4),
('beabeefeab', 5),
('asdcbsdcagfsdbgdfanfghbsfdab', 8),
('asvkugfiugsalddlasguifgukvsa', 0),
]
for s, expected in data:
real = alternate(s)
print('{}, expected {}, real {}, result {}'.format(s, expected, real, expected == real))
| [
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] | |
3f7a3592ecb43458823f4a89ef52c6dcfbfef71c | 70d4ef0863906b3ca64f986075cd35b8412b871e | /blueapps/account/sites/default.py | e996ac9936aeb25beb19699d619290f60b693d5c | [
"MIT",
"BSD-3-Clause",
"BSL-1.0",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | selinagyan/bk-sops | 72db0ac33d9c307f51769e4baa181ceb8e1b279e | 39e63e66416f688e6a3641ea8e975d414ece6b04 | refs/heads/master | 2020-05-07T16:44:33.312442 | 2019-04-11T02:09:25 | 2019-04-11T02:09:25 | 180,696,241 | 0 | 0 | null | 2019-04-11T02:07:11 | 2019-04-11T02:07:10 | null | UTF-8 | Python | false | false | 2,955 | py | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2019 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
""" # noqa
class ConfFixture(object):
"""
登录模块项目变量汇总
"""
#################
# 浏览器参数说明 #
#################
# 登录模块,可选项为 components 目录下的模块,如 qcloud_tlogin
BACKEND_TYPE = None
# 用户验证 Backend qcloud_tlogin.backends.QPtloginBackend
USER_BACKEND = None
# 用户登录验证中间件 qcloud_tlogin.middlewares.LoginRequiredMiddleware
LOGIN_REQUIRED_MIDDLEWARE = None
# 用户模型 qcloud_tlogin.models.UserProxy
USER_MODEL = None
# 登录平台弹窗链接 http://xxxx.com/accounts/login_page/
CONSOLE_LOGIN_URL = None
# 登录平台链接 http://login.o.qcloud.com
LOGIN_URL = None
# 内嵌式的登录平台链接（可嵌入弹框、IFrame）http://xxx.com/plain/
LOGIN_PLAIN_URL = None
# 是否提供内嵌式的统一登录页面
HAS_PLAIN = True
# 跳转至登录平台是否加跨域前缀标识
# http://xxx.com/login/?c_url={CROSS_PREFIX}http%3A//xxx.com%3A8000/
ADD_CROSS_PREFIX = True
CROSS_PREFIX = ''
# 跳转至登录平台是否加上APP_CODE
# http://xxx.com/login/?c_url=http%3A//xxx.com%3A8000/&app_code=xxx
ADD_APP_CODE = True
# http://xxx.com/login/?c_url=http%3A//xxx.com%3A8000/&{APP_KEY}=xxx
APP_KEY = 'app_code'
SETTINGS_APP_KEY = 'APP_CODE'
# 跳转至登录平台，回调参数名称
# http://xxx.com/login/?{C_URL}=http%3A//xxx.com%3A8000/
C_URL = 'c_url'
# 内嵌式的登录平台的尺寸大小，决定前端适配的弹框大小
IFRAME_HEIGHT = 490
IFRAME_WIDTH = 460
###############
# 微信参数说明 #
###############
# 登录模块 weixin
WEIXIN_BACKEND_TYPE = None
# 用户认证中间件 bk_ticket.middlewares.LoginRequiredMiddleware
WEIXIN_MIDDLEWARE = None
# 用户认证 Backend bk_ticket.backends.TicketBackend
WEIXIN_BACKEND = None
# 用户信息链接 http://xxx.com/user/weixin/get_user_info/
WEIXIN_INFO_URL = None
# 用户 OAUTH 认证链接 https://xxx.com/connect/oauth2/authorize
WEIXIN_OAUTH_URL = None
# 在微信端的应用ID 'xxxx'
WEIXIN_APP_ID = None
| [
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] | |
1b1d43ac638223550a5a9f28cb4d5f216a837cbf | 1fac53ab13a9a682ecd926857ef565fa779afae4 | /fbseries.py | 44da677508725917468869fb71285e9ed733a195 | [] | no_license | Shamabanu/python-1 | 339123ff4e7667d6331c207cb1c7ca3fc775dc48 | 4c1642679bb0bdd53a1d21e5421e04eb7abda65b | refs/heads/master | 2020-04-13T23:49:27.700807 | 2018-12-29T15:10:26 | 2018-12-29T15:10:26 | 163,516,492 | 1 | 0 | null | 2018-12-29T14:16:28 | 2018-12-29T14:16:28 | null | UTF-8 | Python | false | false | 219 | py | def fibonacci(n):
if(n <= 1):
return n
else:
return(fibonacci(n-1) + fibonacci(n-2))
n = int(input("Enter no of terms:"))
print("Fibonacci sequence:")
for i in range(n):
print (fibonacci(i))
| [
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] | |
52389b5b2bff83aa9b999bd20397ad5a96cf1b26 | 15f321878face2af9317363c5f6de1e5ddd9b749 | /solutions_python/Problem_145/601.py | 1c4900414caa5c3d523730cdea08f4e249066ea5 | [] | 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 | 417 | py | #!/usr/bin/env python3
from fractions import gcd
from math import log
rounds = int(input())
for i in range(rounds):
n, d = input().split('/')
n = int(n)
d = int(d)
g = gcd(n,d)
n = n//g
d = d//g
if log(d,2) != round( log(d,2)):
print("Case #{}: impossible".format(i+1))
continue;
while n!=1 :
n -= 1
g = gcd(n,d)
n = n // g
d = d // g
print("Case #{}: {}".format(i+1,int(log(d,2))))
| [
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] | |
93856c78a47412b99de857cb1abbf8b25758ad79 | f8bbdfb112618136fc4adccb03ce25fbfc48bff5 | /panel/config/admin/management_data/CustomPages/Member.py | 16842cd9719bcaac1229acc9f6e270cb55f48b24 | [] | no_license | lazypanda10117/CICSA-Ranking-Platform | 160973987b533ede6e0b94af29b5bc85646b2bc0 | d5f6ac64a1f85c3333c71a7d81749b49145b9a16 | refs/heads/master | 2022-12-09T23:21:28.649252 | 2020-04-28T22:53:07 | 2020-04-28T22:53:07 | 133,093,367 | 3 | 2 | null | 2021-09-22T17:51:39 | 2018-05-11T22:14:01 | Python | UTF-8 | Python | false | false | 3,351 | py | from cicsa_ranking.models import Member
from .AbstractCustomClass import AbstractCustomClass
from panel.component.CustomElements import Choices
from misc.CustomFunctions import MiscFunctions, RequestFunctions, LogFunctions
class MemberView(AbstractCustomClass):
def __init__(self, request):
self.base_class = Member
self.validation_table = {
'base_table_invalid': {'_state'},
'base_form_invalid': {'_state', 'id'},
}
super().__init__(request, self.base_class, self.validation_table)
# View Process Functions
def abstractFormProcess(self, action, **kwargs):
try:
post_dict = dict(self.request.POST)
dispatcher = super().populateDispatcher()
if dispatcher.get(action):
member_id = kwargs.pop('id', None)
member = self.useAPI(self.base_class).editSelf(id=member_id)
else:
member = self.base_class()
member.member_name = RequestFunctions.getSingleRequestObj(post_dict, 'member_name')
member.member_school = RequestFunctions.getSingleRequestObj(post_dict, 'member_school')
member.member_email = RequestFunctions.getSingleRequestObj(post_dict, 'member_email')
member.member_status = RequestFunctions.getSingleRequestObj(post_dict, 'member_status')
if not action == 'delete':
member.save()
LogFunctions.generateLog(
self.request, 'admin', LogFunctions.makeLogQuery(self.base_class, action.title(), id=member.id))
if action == 'delete':
member.delete()
except Exception:
print({"Error": "Cannot Process " + action.title() + " Request."})
# View Generating Functions
# Form Generating Functions
def getFieldData(self, **kwargs):
action = kwargs.pop('action')
element_id = kwargs.pop('element_id')
field_data_dispatcher = self.populateDispatcher()
if field_data_dispatcher.get(action):
field_data = MiscFunctions.filterDict(self.useAPI(self.base_class).getSelf(id=element_id).__dict__.items(),
self.validation_table['base_form_invalid'])
return field_data
return None
def getChoiceData(self):
choice_data = dict()
choice_data["member_status"] = Choices().getStatusChoices()
choice_data["member_school"] = Choices().getSchoolChoices()
return choice_data
def getDBMap(self, data):
return None
def getMultiChoiceData(self):
return None
def getSearchElement(self, **kwargs):
return None
# Table Generating Functions
def getTableSpecificHeader(self):
return [field.name for field in self.base_class._meta.get_fields()
if field.name not in self.validation_table['base_table_invalid']]
def getTableRowContent(self, content):
field_data = MiscFunctions.filterDict(self.useAPI(self.base_class).getSelf(id=content.id).__dict__.items(),
self.validation_table['base_table_invalid'])
field_data = self.updateChoiceAsValue(field_data, self.getChoiceData())
field_data = MiscFunctions.grabValueAsList(field_data)
return field_data
| [
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] | |
399b13357b719cf03b12dbebc9c3cd588315a576 | 5774101105b47d78adb7a57eefdfa21502bbd70c | /Django/csvt-django/csvt05/manage.py | cf37dbd64ee66f2e67594f34529b3a7bff46f5fa | [] | no_license | zhlthunder/python-study | 34d928f0ebbdcd5543ae0f41baaea955c92f5c56 | 0f25dd5105ba46791842d66babbe4c3a64819ee5 | refs/heads/master | 2023-01-12T18:39:47.184978 | 2018-10-07T23:48:04 | 2018-10-07T23:48:04 | 90,516,611 | 0 | 1 | null | 2022-12-26T19:46:22 | 2017-05-07T07:39:48 | HTML | UTF-8 | Python | false | false | 804 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "csvt05.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that the
# issue is really that Django is missing to avoid masking other
# exceptions on Python 2.
try:
import django
except ImportError:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
)
raise
execute_from_command_line(sys.argv)
| [
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] | |
a06db2c071875ff44793b4fa25d314d8e7a501c1 | 0178c69ef9fc5e49cadeaadddb4839eeff3f4a2a | /examples/sac.py | edb4bb7454feec8eb93576ef06326455a559076a | [] | no_license | YangHaha11514/rlkit | 3b17de2b4861e12b8c13c849410b7fab335157df | 8c2ee5d1602423e352724a0b0845c646688f98df | refs/heads/master | 2020-03-14T06:22:53.568011 | 2018-03-11T01:31:38 | 2018-03-11T01:31:38 | 131,482,724 | 1 | 0 | null | 2018-04-29T09:46:53 | 2018-04-29T09:46:53 | null | UTF-8 | Python | false | false | 1,813 | py | """
Run PyTorch Soft Actor Critic on HalfCheetahEnv.
NOTE: You need PyTorch 0.3 or more (to have torch.distributions)
"""
import gym
import numpy as np
import rlkit.torch.pytorch_util as ptu
from rlkit.envs.wrappers import NormalizedBoxEnv
from rlkit.launchers.launcher_util import setup_logger
from rlkit.torch.sac.policies import TanhGaussianPolicy
from rlkit.torch.sac.sac import SoftActorCritic
from rlkit.torch.networks import FlattenMlp
def experiment(variant):
env = NormalizedBoxEnv(gym.make('HalfCheetah-v1'))
obs_dim = int(np.prod(env.observation_space.shape))
action_dim = int(np.prod(env.action_space.shape))
net_size = variant['net_size']
qf = FlattenMlp(
hidden_sizes=[net_size, net_size],
input_size=obs_dim + action_dim,
output_size=1,
)
vf = FlattenMlp(
hidden_sizes=[net_size, net_size],
input_size=obs_dim,
output_size=1,
)
policy = TanhGaussianPolicy(
hidden_sizes=[net_size, net_size],
obs_dim=obs_dim,
action_dim=action_dim,
)
algorithm = SoftActorCritic(
env=env,
policy=policy,
qf=qf,
vf=vf,
**variant['algo_params']
)
if ptu.gpu_enabled():
algorithm.cuda()
algorithm.train()
if __name__ == "__main__":
# noinspection PyTypeChecker
variant = dict(
algo_params=dict(
num_epochs=1000,
num_steps_per_epoch=1000,
num_steps_per_eval=1000,
batch_size=128,
max_path_length=999,
discount=0.99,
soft_target_tau=0.001,
policy_lr=3E-4,
qf_lr=3E-4,
vf_lr=3E-4,
),
net_size=300,
)
setup_logger('name-of-experiment', variant=variant)
experiment(variant)
| [
"[email protected]"
] | |
05352a15e8fe5729ce8218b174d55903f616d532 | 0f812d8a0a3743a9ff9df414e096a7f9830b0397 | /old/demo/onelinkmanipulator_demo_PID.py | 56c7d8e95f6edfbf0742cc0e0823707431e2d674 | [
"MIT"
] | permissive | pierrecaillouette/AlexRobotics | 18977eec79875b7fc8c84d11f1c680be93b43fcb | 2223100df3e141d88491dde3d60a4eadd07a5c72 | refs/heads/master | 2021-04-09T03:18:58.858708 | 2019-04-28T15:30:26 | 2019-04-28T15:30:26 | 248,833,850 | 0 | 0 | MIT | 2020-03-20T19:14:52 | 2020-03-20T19:14:52 | null | UTF-8 | Python | false | false | 2,985 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 6 15:27:04 2016
@author: alex
"""
import numpy as np
###########################
# Load libs
###########################
from AlexRobotics.dynamic import Manipulator
from AlexRobotics.control import linear
from AlexRobotics.control import ComputedTorque
from AlexRobotics.planning import RandomTree
from AlexRobotics.control import DPO
###########################
# Objectives
###########################
x_start = np.array([-3.0, 0.0])
x_goal = np.array([ 0.0, 0.0])
###########################
# Create objects
###########################
Robot = Manipulator.OneLinkManipulator()
PD = linear.PD( kp = 5 , kd = 2 )
PID = linear.PID( kp = 5 , kd = 2 , ki = 4 )
CTC = ComputedTorque.ComputedTorqueController( Robot )
SLD = ComputedTorque.SlidingModeController( Robot )
RRT = RandomTree.RRT( Robot , x_start )
VI = DPO.ValueIteration1DOF( Robot , 'quadratic' )
############################
# Params
############################
tmax = 8 # max motor torque
Robot.u_ub = np.array([ tmax]) # Control Upper Bounds
Robot.u_lb = np.array([-tmax]) # Control Lower Bounds
RRT.x_start = x_start
RRT.discretizeactions( 3 )
RRT.dt = 0.1
RRT.goal_radius = 0.3
RRT.max_nodes = 5000
RRT.max_solution_time = 5
RRT.dyna_plot = True
RRT.dyna_node_no_update = 10
RRT.traj_ctl_kp = 25
RRT.traj_ctl_kd = 10
PID.dt = 0.001
CTC.w0 = 2
SLD.lam = 1
SLD.nab = 0
SLD.D = 5
###########################
# Offline Plannning
###########################
#RRT.find_path_to_goal( x_goal )
#RRT.plot_2D_Tree()
###########################
# Offline Optimization
###########################
#VI.first_step()
#VI.load_data( 'data/' + 'R1' + 'quadratic' )
#VI.compute_steps(1)
#
## Plot Value Iteration Results
#ValueIterationAlgo.plot_raw()
#ValueIterationAlgo.plot_J_nice( 2 )
###########################
# Assign controller
###########################
#Robot.ctl = PD.ctl
Robot.ctl = PID.ctl
#Robot.ctl = CTC.ctl
#Robot.ctl = SLD.ctl
#Robot.ctl = RRT.trajectory_controller
#VI.assign_interpol_controller()
###########################
# Simulation
###########################
Robot.plotAnimation( x_start , tf=10, n=10001, solver='euler' )
###########################
# Plots
###########################
Robot.Sim.phase_plane_trajectory()
#Robot.Sim.phase_plane_trajectory( PP_OL = False , PP_CL = True )
Robot.Sim.plot_CL()
###########################
# and more
###########################
#from AlexRobotics.dynamic import CustomManipulator
#BoeingArm = CustomManipulator.BoeingArm()
#BoeingArm.plot3DAnimation( x0 = np.array([0.2,0,0,0,0,0]) )
# Hold script in console
import matplotlib.pyplot as plt
plt.show() | [
"[email protected]"
] | |
3f38851402838e78a9602b3e882605fb1e2d4f86 | 14f4d045750f7cf45252838d625b2a761d5dee38 | /argo/test/test_io_k8s_kube_aggregator_pkg_apis_apiregistration_v1beta1_api_service_condition.py | 01d2de718c08b57e04b58fbd20a8e3d5c8c0eb44 | [] | no_license | nfillot/argo_client | cf8d7413d728edb4623de403e03d119fe3699ee9 | c8cf80842f9eebbf4569f3d67b9d8eff4ba405fa | refs/heads/master | 2020-07-11T13:06:35.518331 | 2019-08-26T20:54:07 | 2019-08-26T20:54:07 | 204,546,868 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,330 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: v1.14.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import argo
from models.io_k8s_kube_aggregator_pkg_apis_apiregistration_v1beta1_api_service_condition import IoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition # noqa: E501
from argo.rest import ApiException
class TestIoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition(unittest.TestCase):
"""IoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testIoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition(self):
"""Test IoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition"""
# FIXME: construct object with mandatory attributes with example values
# model = argo.models.io_k8s_kube_aggregator_pkg_apis_apiregistration_v1beta1_api_service_condition.IoK8sKubeAggregatorPkgApisApiregistrationV1beta1APIServiceCondition() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
8fe298aaf5cf8b93c96ab107fbe0f5771e3f5e25 | b775940595617a13289ee7006cf837f8f3a34480 | /examples/ppk_plot.py | 24497e1d56f97c75755d7197f2dbe75215961c3c | [] | no_license | Nathan-Walk/manufacturing | 5d2f58c2be45c9ccb2263bd750b6c18809fe76d4 | 2a22457ff9ef695da649a1e11d0cf7cb8ddde348 | refs/heads/master | 2023-03-08T19:48:15.613729 | 2021-02-26T01:05:46 | 2021-02-26T01:05:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 276 | py | import logging
import matplotlib.pyplot as plt
from manufacturing import import_excel, ppk_plot
logging.basicConfig(level=logging.INFO)
data = import_excel('data/example_data_with_faults.xlsx', columnname='value (lcl=-7.4 ucl=7.4)', skiprows=3)
ppk_plot(**data)
plt.show()
| [
"[email protected]"
] | |
37857bc4bb9559c9e3f68635744baf75a7cc8762 | c086a38a366b0724d7339ae94d6bfb489413d2f4 | /PythonEnv/Lib/site-packages/docutils/utils/urischemes.py | 01335601af86e67266b95a75aa5f0935ea92bcf5 | [] | no_license | FlowkoHinti/Dionysos | 2dc06651a4fc9b4c8c90d264b2f820f34d736650 | d9f8fbf3bb0713527dc33383a7f3e135b2041638 | refs/heads/master | 2021-03-02T01:14:18.622703 | 2020-06-09T08:28:44 | 2020-06-09T08:28:44 | 245,826,041 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,028 | py | # $Id: urischemes.py 8376 2019-08-27 19:49:29Z milde $
# Author: David Goodger <[email protected]>
# Copyright: This module has been placed in the public domain.
"""
`schemes` is a dictionary with lowercase URI addressing schemes as
keys and descriptions as values. It was compiled from the index at
http://www.iana.org/assignments/uri-schemes (revised 2005-11-28)
and an older list at http://www.w3.org/Addressing/schemes.html.
"""
# Many values are blank and should be filled in with useful descriptions.
schemes = {
'about': 'provides information on Navigator',
'acap': 'Application Configuration Access Protocol; RFC 2244',
'addbook': "To add vCard entries to Communicator's Address Book",
'afp': 'Apple Filing Protocol',
'afs': 'Andrew File System global file names',
'aim': 'AOL Instant Messenger',
'callto': 'for NetMeeting links',
'castanet': 'Castanet Tuner URLs for Netcaster',
'chttp': 'cached HTTP supported by RealPlayer',
'cid': 'content identifier; RFC 2392',
'crid': 'TV-Anytime Content Reference Identifier; RFC 4078',
'data': ('allows inclusion of small data items as "immediate" data; '
'RFC 2397'),
'dav': 'Distributed Authoring and Versioning Protocol; RFC 2518',
'dict': 'dictionary service protocol; RFC 2229',
'dns': 'Domain Name System resources',
'eid': ('External ID; non-URL data; general escape mechanism to allow '
'access to information for applications that are too '
'specialized to justify their own schemes'),
'fax': ('a connection to a terminal that can handle telefaxes '
'(facsimiles); RFC 2806'),
'feed': 'NetNewsWire feed',
'file': 'Host-specific file names; RFC 1738',
'finger': '',
'freenet': '',
'ftp': 'File Transfer Protocol; RFC 1738',
'go': 'go; RFC 3368',
'gopher': 'The Gopher Protocol',
'gsm-sms': ('Global System for Mobile Communications Short Message '
'Service'),
'h323': ('video (audiovisual) communication on local area networks; '
'RFC 3508'),
'h324': ('video and audio communications over low bitrate connections '
'such as POTS modem connections'),
'hdl': 'CNRI handle system',
'hnews': 'an HTTP-tunneling variant of the NNTP news protocol',
'http': 'Hypertext Transfer Protocol; RFC 2616',
'https': 'HTTP over SSL; RFC 2818',
'hydra': 'SubEthaEdit URI. See http://www.codingmonkeys.de/subethaedit.',
'iioploc': 'Internet Inter-ORB Protocol Location?',
'ilu': 'Inter-Language Unification',
'im': 'Instant Messaging; RFC 3860',
'imap': 'Internet Message Access Protocol; RFC 2192',
'info': 'Information Assets with Identifiers in Public Namespaces',
'ior': 'CORBA interoperable object reference',
'ipp': 'Internet Printing Protocol; RFC 3510',
'irc': 'Internet Relay Chat',
'iris.beep': 'iris.beep; RFC 3983',
'iseek': 'See www.ambrosiasw.com; a little util for OS X.',
'jar': 'Java archive',
'javascript': ('JavaScript code; evaluates the expression after the '
'colon'),
'jdbc': 'JDBC connection URI.',
'ldap': 'Lightweight Directory Access Protocol',
'lifn': '',
'livescript': '',
'lrq': '',
'mailbox': 'Mail folder access',
'mailserver': 'Access to data available from mail servers',
'mailto': 'Electronic mail address; RFC 2368',
'md5': '',
'mid': 'message identifier; RFC 2392',
'mocha': '',
'modem': ('a connection to a terminal that can handle incoming data '
'calls; RFC 2806'),
'mtqp': 'Message Tracking Query Protocol; RFC 3887',
'mupdate': 'Mailbox Update (MUPDATE) Protocol; RFC 3656',
'news': 'USENET news; RFC 1738',
'nfs': 'Network File System protocol; RFC 2224',
'nntp': 'USENET news using NNTP access; RFC 1738',
'opaquelocktoken': 'RFC 2518',
'phone': '',
'pop': 'Post Office Protocol; RFC 2384',
'pop3': 'Post Office Protocol v3',
'pres': 'Presence; RFC 3859',
'printer': '',
'prospero': 'Prospero Directory Service; RFC 4157',
'rdar': ('URLs found in Darwin source '
'(http://www.opensource.apple.com/darwinsource/).'),
'res': '',
'rtsp': 'real time streaming protocol; RFC 2326',
'rvp': '',
'rwhois': '',
'rx': 'Remote Execution',
'sdp': '',
'service': 'service location; RFC 2609',
'shttp': 'secure hypertext transfer protocol',
'sip': 'Session Initiation Protocol; RFC 3261',
'sips': 'secure session intitiaion protocol; RFC 3261',
'smb': 'SAMBA filesystems.',
'snews': 'For NNTP postings via SSL',
'snmp': 'Simple Network Management Protocol; RFC 4088',
'soap.beep': 'RFC 3288',
'soap.beeps': 'RFC 3288',
'ssh': 'Reference to interactive sessions via ssh.',
't120': 'real time data conferencing (audiographics)',
'tag': 'RFC 4151',
'tcp': '',
'tel': ('a connection to a terminal that handles normal voice '
'telephone calls, a voice mailbox or another voice messaging '
'system or a service that can be operated using DTMF tones; '
'RFC 3966.'),
'telephone': 'telephone',
'telnet': 'Reference to interactive sessions; RFC 4248',
'tftp': 'Trivial File Transfer Protocol; RFC 3617',
'tip': 'Transaction Internet Protocol; RFC 2371',
'tn3270': 'Interactive 3270 emulation sessions',
'tv': '',
'urn': 'Uniform Resource Name; RFC 2141',
'uuid': '',
'vemmi': 'versatile multimedia interface; RFC 2122',
'videotex': '',
'view-source': 'displays HTML code that was generated with JavaScript',
'wais': 'Wide Area Information Servers; RFC 4156',
'whodp': '',
'whois++': 'Distributed directory service.',
'x-man-page': ('Opens man page in Terminal.app on OS X '
'(see macosxhints.com)'),
'xmlrpc.beep': 'RFC 3529',
'xmlrpc.beeps': 'RFC 3529',
'z39.50r': 'Z39.50 Retrieval; RFC 2056',
'z39.50s': 'Z39.50 Session; RFC 2056', }
| [
"="
] | = |
3c6272b5ed36863e8a7b012c1491944ae1bc0fed | d61f7eda203a336868c010abb8f9a6f45dd51adb | /217. Contains Duplicate.py | bfe1c7f845dd61be31b14fab7c6bc51dc3d70b9b | [] | no_license | Mschikay/leetcode | b91df914afc728c2ae1a13d3994568bb6c1dcffb | 7c5e5fe76cee542f67cd7dd3a389470b02597548 | refs/heads/master | 2020-04-17T12:11:38.810325 | 2019-10-06T02:37:32 | 2019-10-06T02:37:32 | 166,570,922 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | py | class Solution:
def containsDuplicate(self, nums: List[int]) -> bool:
# s = set()
# for n in nums:
# if n in s:
# return True
# s.add(n)
# return False
return not (len(set(nums)) == len(nums)) | [
"[email protected]"
] | |
10320c2b5c5d228ae3ada19ae71d1c1b9d7fff71 | 77d7f2c1284b276c95ad31b15ac2bde077f1ceca | /fastreid/data/common.py | 959fefb3f17b62bcdefa3071913ff3df58331735 | [
"Apache-2.0"
] | permissive | Cris-zj/fast-reid | a53f19fefe149eec93d0f1b2a1d61136d9c9eaf6 | db4b65444912cfd54675e6a52fa12e2d1321e971 | refs/heads/master | 2022-12-14T15:23:40.820118 | 2020-08-31T12:34:33 | 2020-08-31T12:34:33 | 291,639,026 | 2 | 0 | Apache-2.0 | 2020-08-31T06:56:24 | 2020-08-31T06:56:23 | null | UTF-8 | Python | false | false | 1,078 | py | # encoding: utf-8
"""
@author: liaoxingyu
@contact: [email protected]
"""
from torch.utils.data import Dataset
from .data_utils import read_image
class CommDataset(Dataset):
"""Image Person ReID Dataset"""
def __init__(self, img_items, transform=None, relabel=True):
self.img_items = img_items
self.transform = transform
self.relabel = relabel
pid_set = set([i[1] for i in img_items])
self.pids = sorted(list(pid_set))
if relabel: self.pid_dict = dict([(p, i) for i, p in enumerate(self.pids)])
def __len__(self):
return len(self.img_items)
def __getitem__(self, index):
img_path, pid, camid = self.img_items[index]
img = read_image(img_path)
if self.transform is not None: img = self.transform(img)
if self.relabel: pid = self.pid_dict[pid]
return {
"images": img,
"targets": pid,
"camid": camid,
"img_path": img_path
}
@property
def num_classes(self):
return len(self.pids)
| [
"[email protected]"
] | |
43161b15896e4902218ba23e07244705afec3bd9 | b0bb0dcdf8228cbdd02e47a9e2097892f7dd0861 | /bak/download.py | 03f5f93a9a8b197c04727d19e700059556ff1ede | [] | no_license | scmsqhn/zipline_for_u | 562de0d8ed638de431d207e6808db7e19fc168f7 | 369b17fd3142fcfb9ced7ce0b17a3a35a8af37d4 | refs/heads/master | 2021-01-20T06:51:09.012662 | 2017-05-02T14:54:38 | 2017-05-02T14:54:38 | 89,936,089 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,161 | py | # -*- coding: utf-8 -*-
# @Author: yuqing5
# date: 20151023
import tushare as ts
from sqlalchemy import create_engine
import datetime
import time
import pandas as pd
import os
import cPickle
from pandas import DataFrame
import pandas.io.sql as SQL
import sys
sys.path.append('./utility/')
from tool_decorator import local_memcached
def date2str(date):
return date.strftime("%Y-%m-%d")
class DownLoad(object):
'''
1.下载历史数据
2. 更新每天数据
3. 装载历史数据
'''
def __init__(self):
self.basic = ts.get_stock_basics()
self.engine = create_engine('mysql://root:[email protected]/stock_info?charset=utf8')
self.connection = self.engine.connect()
@staticmethod
def date2str(today=None):
if today == None:
today =datetime.date.today()
return today.strftime("%Y-%m-%d")
def down_history(self, stock, index=False):
'''
下载历史至今天的数据,可以用于下载新股票
date,open,high,close,low,volume,amount
'''
print '--'*10,"downing ",stock,'--'*10
date = self.basic.ix[stock]['timeToMarket']
#20100115 竟然是个整数
start_year = date/10000
today =datetime.date.today()
end_year = int(today.strftime("%Y"))
suffix = "-" + str(date)[4:6] + "-" + str(date)[6:8]
raw_data = None
#针对次新股，今年的股票
if start_year == end_year:
raw_data = ts.get_h_data(stock,index)
for year in range(start_year, end_year):
start = str(year) + suffix
right = datetime.datetime.strptime(str(year+1) + suffix, "%Y-%m-%d")-datetime.timedelta(days=1)
#跨年的应该没有那天上市的公司，所以不存在bug
end = right.strftime("%Y-%m-%d")
print start, "-----",end
data = ts.get_h_data(stock,start=start,end=end,index=index)
if data is None:
print None
else:
print data.shape
raw_data = pd.concat([raw_data, data], axis=0)
#看看是否需要补充最后一段时间的数据
if (year+1) == end_year and end < today.strftime("%Y-%m-%d"):
this_year_start = str(year+1) + suffix
print this_year_start, "-------",today.strftime("%Y-%m-%d")
data = ts.get_h_data(stock, start=this_year_start, end=today.strftime("%Y-%m-%d"),index=index)
if data is None:
print None
else:
print data.shape
raw_data = pd.concat([raw_data, data], axis=0)
raw_data = raw_data.sort_index(ascending=True)
raw_data.to_sql('day_'+stock, self.engine)
return raw_data
def down_all_day_stick(self):
'''
下载所有股票的历史数据
'''
for stock in self.basic.index:
try:
print stock
self.down_history(stock)
except Exception ,ex:
print Exception, ";",ex
def append_days(self,stock, start, end):
'''
添加stock,指定时间范围内的数据
'''
data = ts.get_h_data(stock,start=start,end=end)
data = data.sort_index(ascending=True)
data.to_sql('day_'+stock, self.engine,if_exists='append')
def append_all_days(self, start=None, end=None):
'''
添加所有股票数据
'''
if start == None:
start = datetime.datetime.today()
end = start
for stock in self.basic['code']:
self.append_days(stock, start, end)
def load_data(self, stock):
'''
加载股票历史数据
'''
search_sql = "select * from {0}".format('day_'+stock)
raw_data = SQL.read_sql(search_sql, self.engine)
return raw_data
def check_is_new_stock(self, stock):
'''
检测该股票是否为新上市股票
结果不需要该函数
'''
check_sql = "show tables like '{0}'".format('day_'+stock)
result = self.connection.execute(check_sql)
if result.first() == None:
return True
else:
return False
#默认为近3年数据
def down_period(self, stock,start=None,end=None):
raw_data = ts.get_hist_data(stock,start,end)
return raw_data
#新股如603861 有问题
#封装一下ts接口，同一天不要重复获取数据
class TS(object):
@staticmethod
@local_memcached
def memchaced_data(funcname, fileprefix):
'''
使用方法
1. funcname ts的方法名
2. fileprefix 该方法缓存的文件名字
'''
raw_data = funcname()
return raw_data
if __name__ == '__main__':
# dl = DownLoad()
# dl.down_all_day_stick()
# raw_data = dl.load_data('000001')
# print raw_data
TS() | [
"[email protected]"
] | |
00c4fad7606971274a79c91af14dc8412935ba2e | c5becab2d4201f2e828d052c22b4496a3bbe4927 | /tests/pipelines/test_pipelines_conversational.py | 9ed32adda652d5983ed5995d8d94a7a0df5d635c | [
"Apache-2.0"
] | permissive | thomwolf/transformers | ba665c456b2acd636d8e3876a87ea446ae0ae092 | 166dfa88e5dfdca1d99197e5006e4e2ea9e49cba | refs/heads/master | 2023-03-08T03:37:13.519336 | 2023-02-15T15:00:01 | 2023-02-15T15:00:01 | 238,908,404 | 4 | 1 | Apache-2.0 | 2023-02-25T16:09:30 | 2020-02-07T11:40:04 | Python | UTF-8 | Python | false | false | 17,110 | py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from transformers import (
MODEL_FOR_CAUSAL_LM_MAPPING,
MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
TF_MODEL_FOR_CAUSAL_LM_MAPPING,
TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
AutoModelForCausalLM,
AutoModelForSeq2SeqLM,
AutoTokenizer,
BlenderbotSmallForConditionalGeneration,
BlenderbotSmallTokenizer,
Conversation,
ConversationalPipeline,
TFAutoModelForCausalLM,
pipeline,
)
from transformers.testing_utils import require_tf, require_torch, slow, torch_device
from .test_pipelines_common import ANY, PipelineTestCaseMeta
DEFAULT_DEVICE_NUM = -1 if torch_device == "cpu" else 0
class ConversationalPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
model_mapping = dict(
list(MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.items())
if MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
else [] + list(MODEL_FOR_CAUSAL_LM_MAPPING.items())
if MODEL_FOR_CAUSAL_LM_MAPPING
else []
)
tf_model_mapping = dict(
list(TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING.items())
if TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
else [] + list(TF_MODEL_FOR_CAUSAL_LM_MAPPING.items())
if TF_MODEL_FOR_CAUSAL_LM_MAPPING
else []
)
def get_test_pipeline(self, model, tokenizer, processor):
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
return conversation_agent, [Conversation("Hi there!")]
def run_pipeline_test(self, conversation_agent, _):
# Simple
outputs = conversation_agent(Conversation("Hi there!"))
self.assertEqual(outputs, Conversation(past_user_inputs=["Hi there!"], generated_responses=[ANY(str)]))
# Single list
outputs = conversation_agent([Conversation("Hi there!")])
self.assertEqual(outputs, Conversation(past_user_inputs=["Hi there!"], generated_responses=[ANY(str)]))
# Batch
conversation_1 = Conversation("Going to the movies tonight - any suggestions?")
conversation_2 = Conversation("What's the last book you have read?")
self.assertEqual(len(conversation_1.past_user_inputs), 0)
self.assertEqual(len(conversation_2.past_user_inputs), 0)
outputs = conversation_agent([conversation_1, conversation_2])
self.assertEqual(outputs, [conversation_1, conversation_2])
self.assertEqual(
outputs,
[
Conversation(
past_user_inputs=["Going to the movies tonight - any suggestions?"],
generated_responses=[ANY(str)],
),
Conversation(past_user_inputs=["What's the last book you have read?"], generated_responses=[ANY(str)]),
],
)
# One conversation with history
conversation_2.add_user_input("Why do you recommend it?")
outputs = conversation_agent(conversation_2)
self.assertEqual(outputs, conversation_2)
self.assertEqual(
outputs,
Conversation(
past_user_inputs=["What's the last book you have read?", "Why do you recommend it?"],
generated_responses=[ANY(str), ANY(str)],
),
)
with self.assertRaises(ValueError):
conversation_agent("Hi there!")
with self.assertRaises(ValueError):
conversation_agent(Conversation())
# Conversation have been consumed and are not valid anymore
# Inactive conversations passed to the pipeline raise a ValueError
with self.assertRaises(ValueError):
conversation_agent(conversation_2)
@require_torch
@slow
def test_integration_torch_conversation(self):
# When
conversation_agent = pipeline(task="conversational", device=DEFAULT_DEVICE_NUM)
conversation_1 = Conversation("Going to the movies tonight - any suggestions?")
conversation_2 = Conversation("What's the last book you have read?")
# Then
self.assertEqual(len(conversation_1.past_user_inputs), 0)
self.assertEqual(len(conversation_2.past_user_inputs), 0)
# When
result = conversation_agent([conversation_1, conversation_2], do_sample=False, max_length=1000)
# Then
self.assertEqual(result, [conversation_1, conversation_2])
self.assertEqual(len(result[0].past_user_inputs), 1)
self.assertEqual(len(result[1].past_user_inputs), 1)
self.assertEqual(len(result[0].generated_responses), 1)
self.assertEqual(len(result[1].generated_responses), 1)
self.assertEqual(result[0].past_user_inputs[0], "Going to the movies tonight - any suggestions?")
self.assertEqual(result[0].generated_responses[0], "The Big Lebowski")
self.assertEqual(result[1].past_user_inputs[0], "What's the last book you have read?")
self.assertEqual(result[1].generated_responses[0], "The Last Question")
# When
conversation_2.add_user_input("Why do you recommend it?")
result = conversation_agent(conversation_2, do_sample=False, max_length=1000)
# Then
self.assertEqual(result, conversation_2)
self.assertEqual(len(result.past_user_inputs), 2)
self.assertEqual(len(result.generated_responses), 2)
self.assertEqual(result.past_user_inputs[1], "Why do you recommend it?")
self.assertEqual(result.generated_responses[1], "It's a good book.")
@require_torch
@slow
def test_integration_torch_conversation_truncated_history(self):
# When
conversation_agent = pipeline(task="conversational", min_length_for_response=24, device=DEFAULT_DEVICE_NUM)
conversation_1 = Conversation("Going to the movies tonight - any suggestions?")
# Then
self.assertEqual(len(conversation_1.past_user_inputs), 0)
# When
result = conversation_agent(conversation_1, do_sample=False, max_length=36)
# Then
self.assertEqual(result, conversation_1)
self.assertEqual(len(result.past_user_inputs), 1)
self.assertEqual(len(result.generated_responses), 1)
self.assertEqual(result.past_user_inputs[0], "Going to the movies tonight - any suggestions?")
self.assertEqual(result.generated_responses[0], "The Big Lebowski")
# When
conversation_1.add_user_input("Is it an action movie?")
result = conversation_agent(conversation_1, do_sample=False, max_length=36)
# Then
self.assertEqual(result, conversation_1)
self.assertEqual(len(result.past_user_inputs), 2)
self.assertEqual(len(result.generated_responses), 2)
self.assertEqual(result.past_user_inputs[1], "Is it an action movie?")
self.assertEqual(result.generated_responses[1], "It's a comedy.")
@require_torch
def test_small_model_pt(self):
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-small")
model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
conversation = Conversation("hello")
output = conversation_agent(conversation)
self.assertEqual(output, Conversation(past_user_inputs=["hello"], generated_responses=["Hi"]))
@require_tf
def test_small_model_tf(self):
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-small")
model = TFAutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
conversation = Conversation("hello")
output = conversation_agent(conversation)
self.assertEqual(output, Conversation(past_user_inputs=["hello"], generated_responses=["Hi"]))
@require_torch
@slow
def test_integration_torch_conversation_dialogpt_input_ids(self):
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-small")
model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
conversation_1 = Conversation("hello")
inputs = conversation_agent.preprocess(conversation_1)
self.assertEqual(inputs["input_ids"].tolist(), [[31373, 50256]])
conversation_2 = Conversation("how are you ?", past_user_inputs=["hello"], generated_responses=["Hi there!"])
inputs = conversation_agent.preprocess(conversation_2)
self.assertEqual(
inputs["input_ids"].tolist(), [[31373, 50256, 17250, 612, 0, 50256, 4919, 389, 345, 5633, 50256]]
)
@require_torch
@slow
def test_integration_torch_conversation_blenderbot_400M_input_ids(self):
tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-400M-distill")
model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-400M-distill")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
# test1
conversation_1 = Conversation("hello")
inputs = conversation_agent.preprocess(conversation_1)
self.assertEqual(inputs["input_ids"].tolist(), [[1710, 86, 2]])
# test2
conversation_1 = Conversation(
"I like lasagne.",
past_user_inputs=["hello"],
generated_responses=[
" Do you like lasagne? It is a traditional Italian dish consisting of a shepherd's pie."
],
)
inputs = conversation_agent.preprocess(conversation_1)
self.assertEqual(
inputs["input_ids"].tolist(),
[
# This should be compared with the same conversation on ParlAI `safe_interactive` demo.
[
1710, # hello
86,
228, # Double space
228,
946,
304,
398,
6881,
558,
964,
38,
452,
315,
265,
6252,
452,
322,
968,
6884,
3146,
278,
306,
265,
617,
87,
388,
75,
341,
286,
521,
21,
228, # Double space
228,
281, # I like lasagne.
398,
6881,
558,
964,
21,
2, # EOS
],
],
)
@require_torch
@slow
def test_integration_torch_conversation_blenderbot_400M(self):
tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-400M-distill")
model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-400M-distill")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer)
conversation_1 = Conversation("hello")
result = conversation_agent(
conversation_1,
)
self.assertEqual(
result.generated_responses[0],
# ParlAI implementation output, we have a different one, but it's our
# second best, you can check by using num_return_sequences=10
# " Hello! How are you? I'm just getting ready to go to work, how about you?",
" Hello! How are you doing today? I just got back from a walk with my dog.",
)
conversation_1 = Conversation("Lasagne hello")
result = conversation_agent(conversation_1, encoder_no_repeat_ngram_size=3)
self.assertEqual(
result.generated_responses[0],
" Do you like lasagne? It is a traditional Italian dish consisting of a shepherd's pie.",
)
conversation_1 = Conversation(
"Lasagne hello Lasagne is my favorite Italian dish. Do you like lasagne? I like lasagne."
)
result = conversation_agent(
conversation_1,
encoder_no_repeat_ngram_size=3,
)
self.assertEqual(
result.generated_responses[0],
" Me too. I like how it can be topped with vegetables, meats, and condiments.",
)
@require_torch
@slow
def test_integration_torch_conversation_encoder_decoder(self):
# When
tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot_small-90M")
model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot_small-90M")
conversation_agent = ConversationalPipeline(model=model, tokenizer=tokenizer, device=DEFAULT_DEVICE_NUM)
conversation_1 = Conversation("My name is Sarah and I live in London")
conversation_2 = Conversation("Going to the movies tonight, What movie would you recommend? ")
# Then
self.assertEqual(len(conversation_1.past_user_inputs), 0)
self.assertEqual(len(conversation_2.past_user_inputs), 0)
# When
result = conversation_agent([conversation_1, conversation_2], do_sample=False, max_length=1000)
# Then
self.assertEqual(result, [conversation_1, conversation_2])
self.assertEqual(len(result[0].past_user_inputs), 1)
self.assertEqual(len(result[1].past_user_inputs), 1)
self.assertEqual(len(result[0].generated_responses), 1)
self.assertEqual(len(result[1].generated_responses), 1)
self.assertEqual(result[0].past_user_inputs[0], "My name is Sarah and I live in London")
self.assertEqual(
result[0].generated_responses[0],
"hi sarah, i live in london as well. do you have any plans for the weekend?",
)
self.assertEqual(
result[1].past_user_inputs[0], "Going to the movies tonight, What movie would you recommend? "
)
self.assertEqual(
result[1].generated_responses[0], "i don't know... i'm not really sure. what movie are you going to see?"
)
# When
conversation_1.add_user_input("Not yet, what about you?")
conversation_2.add_user_input("What's your name?")
result = conversation_agent([conversation_1, conversation_2], do_sample=False, max_length=1000)
# Then
self.assertEqual(result, [conversation_1, conversation_2])
self.assertEqual(len(result[0].past_user_inputs), 2)
self.assertEqual(len(result[1].past_user_inputs), 2)
self.assertEqual(len(result[0].generated_responses), 2)
self.assertEqual(len(result[1].generated_responses), 2)
self.assertEqual(result[0].past_user_inputs[1], "Not yet, what about you?")
self.assertEqual(result[0].generated_responses[1], "i don't have any plans yet. i'm not sure what to do yet.")
self.assertEqual(result[1].past_user_inputs[1], "What's your name?")
self.assertEqual(result[1].generated_responses[1], "i don't have a name, but i'm going to see a horror movie.")
@require_torch
@slow
def test_from_pipeline_conversation(self):
model_id = "facebook/blenderbot_small-90M"
# from model id
conversation_agent_from_model_id = pipeline("conversational", model=model_id, tokenizer=model_id)
# from model object
model = BlenderbotSmallForConditionalGeneration.from_pretrained(model_id)
tokenizer = BlenderbotSmallTokenizer.from_pretrained(model_id)
conversation_agent_from_model = pipeline("conversational", model=model, tokenizer=tokenizer)
conversation = Conversation("My name is Sarah and I live in London")
conversation_copy = Conversation("My name is Sarah and I live in London")
result_model_id = conversation_agent_from_model_id([conversation])
result_model = conversation_agent_from_model([conversation_copy])
# check for equality
self.assertEqual(
result_model_id.generated_responses[0],
"hi sarah, i live in london as well. do you have any plans for the weekend?",
)
self.assertEqual(
result_model_id.generated_responses[0],
result_model.generated_responses[0],
)
| [
"[email protected]"
] | |
9a2930492647fe490bf485ff55258371f5687191 | 3a63a9af2693b7d2f87a6d2db0585d8ce5480934 | /vision-vgg_objects.py | 3eb6277cd8e7d427d5a26d0fbd15066c271bf1e7 | [] | no_license | andreeadeac22/HackCam2018 | d167f71069c6fe529f1e88dd92e31794b64e6773 | 0bb529b0d0cc11583722107b7125eb0671ca149a | refs/heads/master | 2021-05-09T09:45:34.945701 | 2018-01-30T00:21:57 | 2018-01-30T00:21:57 | 119,458,996 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | import torch
from torch.autograd import Variable as V
import torchvision.models as models
from torchvision.models.vgg import vgg16
from torchvision import transforms as trn
from torch.nn import functional as F
from PIL import Image
def image_to_objects(img_name):
model = vgg16(pretrained=True)
model.eval()
# load the image transformer
centre_crop = trn.Compose([
trn.Resize((256,256)),
trn.CenterCrop(224),
trn.ToTensor(),
trn.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
# load the class label
file_name = 'categories_imagenet.txt'
img = Image.open(img_name)
input_img = V(centre_crop(img).unsqueeze(0))
# forward pass
logit = model.forward(input_img)
h_x = F.softmax(logit, 1).data.squeeze()
return h_x
print(image_to_objects("arch.jpeg")) | [
"[email protected]"
] | |
bc026c4ed31e48c1c7c6a8dad59f6f27b760e5de | d44b5a657e7cd69c875b55dd5cddf21812e89095 | /pixel_cnn/model/resnet.py | 4c7abe39625aca83798614a9c570268916820747 | [
"Apache-2.0"
] | permissive | nel215/chainer-pixel-cnn | ca8ae17fda998f7677dea785e53319b3fc646e76 | 94b064f9e66355d141ed5d6cce0c38492203715b | refs/heads/master | 2020-04-02T02:11:29.546694 | 2018-10-21T12:10:43 | 2018-10-21T12:10:43 | 153,896,421 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 774 | py | from chainer import Chain
from chainer import links as L
from chainer import functions as F
def concat_elu(x):
return F.elu(F.concat([x, -x], 1))
class GatedResnet(Chain):
def __init__(self, n_out, Conv2D):
super(GatedResnet, self).__init__()
with self.init_scope():
self.conv1 = Conv2D(n_out)
self.conv2 = L.Convolution2D(None, n_out, ksize=1)
self.conv3 = Conv2D(2*n_out)
def __call__(self, x, a=None):
h = self.conv1(concat_elu(x))
if a is not None:
h += self.conv2(concat_elu(a))
h = F.dropout(concat_elu(h))
h = self.conv3(h)
# TODO: conditional generation
a, b = F.split_axis(h, 2, 1)
h = a * F.sigmoid(b)
return x + h
| [
"[email protected]"
] | |
e6ffa0af18975bc4140bb2a0fd222509374d096d | 174975248ffa04bb0339ace7475a791842e99ffb | /reverse_bits.py | 141244053c843ee9fa1eb7c73d05ab32903b8c86 | [] | no_license | KONAPAVANKUMAR/code-library | 87a5525dcf71aaba47f233df17ad31227cb3c44b | 6839ef596858515119a3c300b031a107c8d72292 | refs/heads/main | 2023-06-02T09:33:21.382512 | 2021-06-24T09:49:00 | 2021-06-24T09:49:00 | 378,131,322 | 0 | 0 | null | 2021-06-24T09:41:12 | 2021-06-18T11:39:22 | Python | UTF-8 | Python | false | false | 415 | py | def get_reverse_bit_string(number: int) -> str:
bit_string = ""
for _ in range(0, 32):
bit_string += str(number % 2)
number = number >> 1
return bit_string
def reverse_bit(number):
result = 0
for _ in range(1, 33):
result = result << 1
end_bit = number % 2
number = number >> 1
result = result | end_bit
return get_reverse_bit_string(result) | [
"[email protected]"
] | |
57e50197193509c44c617169693c5d944c8f76f3 | 393ccacef32461f5d7f4b21419a7c695df9c62a7 | /lpo/sp/fmail/fmail.admin/datas/postcodes/81.cgi | 713794904723a1b6c22d73975a7aabfd7c129bf5 | [] | no_license | emoshu-yuta-okuma/nakagawa-dent-hp | ebc6c66efc624a256f0d7e30c2e26b9aae162cd7 | e83e8c7060881b7267f90ca3f2c599d614a219a1 | refs/heads/master | 2023-01-14T12:39:19.874341 | 2020-11-12T06:33:00 | 2020-11-12T06:33:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160,735 | cgi | 40131,813,8130000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市東区,以下に掲載がない場合,0,0,0,0,0,0
40131,813,8130025,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｱｵﾊﾞ,福岡県,福岡市東区,青葉,0,0,1,0,0,0
40131,81103,8110322,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｵｵﾀｹ,福岡県,福岡市東区,大岳,0,0,1,0,0,0
40131,812,8120052,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｲﾂﾞｶﾀﾞﾝﾁ,福岡県,福岡市東区,貝塚団地,0,0,0,0,0,0
40131,813,8130011,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲ,福岡県,福岡市東区,香椎,0,0,1,0,0,0
40131,813,8130013,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲｴｷﾏｴ,福岡県,福岡市東区,香椎駅前,0,0,1,0,0,0
40131,813,8130012,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲｴｷﾋｶﾞｼ,福岡県,福岡市東区,香椎駅東,0,0,1,0,0,0
40131,813,8130014,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲﾀﾞｲ,福岡県,福岡市東区,香椎台,0,0,1,0,0,0
40131,813,8130015,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲﾀﾞﾝﾁ,福岡県,福岡市東区,香椎団地,0,0,0,0,0,0
40131,813,8130017,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲﾃﾘﾊ,福岡県,福岡市東区,香椎照葉,0,0,1,0,0,0
40131,813,8130016,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲﾊﾏ,福岡県,福岡市東区,香椎浜,0,0,1,0,0,0
40131,813,8130018,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｼｲﾊﾏﾌﾄｳ,福岡県,福岡市東区,香椎浜ふ頭,0,0,1,0,0,0
40131,813,8130003,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶｽﾐｶﾞｵｶ,福岡県,福岡市東区,香住ケ丘,0,0,1,0,0,0
40131,81103,8110325,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶﾂﾏ,福岡県,福岡市東区,勝馬,0,0,0,0,0,0
40131,813,8130023,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶﾏﾀ,福岡県,福岡市東区,蒲田,0,0,1,0,0,0
40131,81102,8110216,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶﾐﾜｼﾞﾛ,福岡県,福岡市東区,上和白,0,0,0,0,0,0
40131,81102,8110206,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｶﾞﾝﾉｽ,福岡県,福岡市東区,雁の巣,0,0,1,0,0,0
40131,812,8120069,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｺﾞｳｸﾞﾁﾏﾁ,福岡県,福岡市東区,郷口町,0,0,0,0,0,0
40131,81103,8110321,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｻｲﾄｻﾞｷ,福岡県,福岡市東区,西戸崎,0,0,1,0,0,0
40131,81102,8110203,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｼｵﾊﾏ,福岡県,福岡市東区,塩浜,0,0,1,0,0,0
40131,81103,8110323,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｼｶｼﾏ,福岡県,福岡市東区,志賀島,0,0,0,0,0,0
40131,813,8130002,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｼﾓﾊﾞﾙ,福岡県,福岡市東区,下原,0,0,1,0,0,0
40131,812,8120068,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｼｬﾘｮｳ,福岡県,福岡市東区,社領,0,0,1,0,0,0
40131,813,8130045,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ｼﾛﾊﾏﾀﾞﾝﾁ,福岡県,福岡市東区,城浜団地,0,0,0,0,0,0
40131,81102,8110215,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾀｶﾐﾀﾞｲ,福岡県,福岡市東区,高美台,0,0,1,0,0,0
40131,813,8130033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾀﾀﾗ,福岡県,福岡市東区,多々良,0,0,1,0,0,0
40131,813,8130034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾀﾉﾂ,福岡県,福岡市東区,多の津,0,0,1,0,0,0
40131,813,8130044,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾁﾊﾔ,福岡県,福岡市東区,千早,0,0,1,0,0,0
40131,813,8130032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾄﾞｲ,福岡県,福岡市東区,土井,0,0,1,0,0,0
40131,813,8130001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾄｳﾉﾊﾙ,福岡県,福岡市東区,唐原,0,0,1,0,0,0
40131,813,8130024,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾅｺﾞ,福岡県,福岡市東区,名子,0,0,1,0,0,0
40131,813,8130043,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾅｼﾞﾏ,福岡県,福岡市東区,名島,0,0,1,0,0,0
40131,81102,8110204,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾅﾀ,福岡県,福岡市東区,奈多,0,0,1,0,0,0
40131,81102,8110205,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾅﾀﾀﾞﾝﾁ,福岡県,福岡市東区,奈多団地,0,0,0,0,0,0
40131,812,8120053,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊｺｻﾞｷ,福岡県,福岡市東区,箱崎,0,0,1,0,0,0
40131,812,8120051,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊｺｻﾞｷﾌﾄｳ,福岡県,福岡市東区,箱崎ふ頭,0,0,1,0,0,0
40131,812,8120061,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊｺﾏﾂ,福岡県,福岡市東区,筥松,0,0,1,0,0,0
40131,812,8120067,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊｺﾏﾂｼﾝﾏﾁ,福岡県,福岡市東区,筥松新町,0,0,0,0,0,0
40131,813,8130031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊｯﾀ,福岡県,福岡市東区,八田,0,0,1,0,0,0
40131,812,8120063,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾊﾗﾀﾞ,福岡県,福岡市東区,原田,0,0,1,0,0,0
40131,812,8120055,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾋｶﾞｼﾊﾏ,福岡県,福岡市東区,東浜,0,0,1,0,0,0
40131,81103,8110324,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾋﾛ,福岡県,福岡市東区,弘,0,0,0,0,0,0
40131,812,8120066,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾌﾀﾏﾀｾ,福岡県,福岡市東区,二又瀬,0,0,0,0,0,0
40131,812,8120065,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾌﾀﾏﾀｾｼﾝﾏﾁ,福岡県,福岡市東区,二又瀬新町,0,0,0,0,0,0
40131,812,8120054,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏｲﾀﾞｼ,福岡県,福岡市東区,馬出,0,0,1,0,0,0
40131,813,8130042,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏｲﾏﾂﾊﾞﾗ,福岡県,福岡市東区,舞松原,0,0,1,0,0,0
40131,813,8130004,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏﾂｶﾀﾞｲ,福岡県,福岡市東区,松香台,0,0,1,0,0,0
40131,813,8130035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏﾂｻﾞｷ,福岡県,福岡市東区,松崎,0,0,1,0,0,0
40131,812,8120062,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏﾂｼﾏ(1､2ﾁｮｳﾒ),福岡県,福岡市東区,松島（１、２丁目）,1,0,1,0,0,0
40131,813,8130062,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏﾂｼﾏ(3-6ﾁｮｳﾒ),福岡県,福岡市東区,松島（３〜６丁目）,1,0,1,0,0,0
40131,812,8120064,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾏﾂﾀﾞ,福岡県,福岡市東区,松田,0,0,1,0,0,0
40131,813,8130005,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐｼﾏｻﾞｷ,福岡県,福岡市東区,御島崎,0,0,1,0,0,0
40131,813,8130041,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐｽﾞﾀﾆ,福岡県,福岡市東区,水谷,0,0,1,0,0,0
40131,81102,8110201,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐﾄﾏ,福岡県,福岡市東区,三苫,0,0,1,0,0,0
40131,813,8130021,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐﾄﾞﾘｶﾞｵｶ,福岡県,福岡市東区,みどりが丘,0,0,1,0,0,0
40131,813,8130019,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐﾅﾄｶｼｲ,福岡県,福岡市東区,みなと香椎,0,0,1,0,0,0
40131,81102,8110212,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐﾜﾀﾞｲ,福岡県,福岡市東区,美和台,0,0,1,0,0,0
40131,81102,8110211,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾐﾜﾀﾞｲｼﾝﾏﾁ,福岡県,福岡市東区,美和台新町,0,0,0,0,0,0
40131,813,8130036,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾜｶﾐﾔ,福岡県,福岡市東区,若宮,0,0,1,0,0,0
40131,81102,8110202,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾜｼﾞﾛ,福岡県,福岡市東区,和白,0,0,1,0,0,0
40131,81102,8110213,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾜｼﾞﾛｶﾞｵｶ,福岡県,福岡市東区,和白丘,0,0,1,0,0,0
40131,81102,8110214,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾋｶﾞｼｸ,ﾜｼﾞﾛﾋｶﾞｼ,福岡県,福岡市東区,和白東,0,0,1,0,0,0
40132,812,8120000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市博多区,以下に掲載がない場合,0,0,0,0,0,0
40132,816,8120885,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｱｲｵｲﾏﾁ,福岡県,福岡市博多区,相生町,0,0,1,0,0,0
40132,816,8120851,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｱｵｷ,福岡県,福岡市博多区,青木,0,0,1,0,0,0
40132,816,8120881,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｲｿｳﾀﾞ,福岡県,福岡市博多区,井相田,0,0,1,0,0,0
40132,816,8120888,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｲﾀﾂﾞｹ,福岡県,福岡市博多区,板付,0,0,1,0,0,0
40132,816,8120861,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｳﾗﾀ,福岡県,福岡市博多区,浦田,0,0,1,0,0,0
40132,812,8120004,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｴﾉｷﾀﾞ,福岡県,福岡市博多区,榎田,0,0,1,0,0,0
40132,812,8120001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｵｵｲ,福岡県,福岡市博多区,大井,0,0,1,0,0,0
40132,812,8120031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｵｷﾊﾏﾏﾁ,福岡県,福岡市博多区,沖浜町,0,0,0,0,0,0
40132,812,8120043,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾀｶｽ,福岡県,福岡市博多区,堅粕,0,0,1,0,0,0
40132,816,8120863,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾈﾉｸﾏ,福岡県,福岡市博多区,金の隈,0,0,1,0,0,0
40132,812,8120005,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾐｳｽｲ,福岡県,福岡市博多区,上臼井,0,0,0,0,0,0
40132,812,8120026,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾐｶﾜﾊﾞﾀﾏﾁ,福岡県,福岡市博多区,上川端町,0,0,0,0,0,0
40132,812,8120036,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾐｺﾞﾌｸﾏﾁ,福岡県,福岡市博多区,上呉服町,0,0,0,0,0,0
40132,812,8120006,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾐﾑﾀ,福岡県,福岡市博多区,上牟田,0,0,1,0,0,0
40132,812,8120022,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｶﾐﾔﾏﾁ,福岡県,福岡市博多区,神屋町,0,0,0,0,0,0
40132,812,8120038,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｷﾞｵﾝﾏﾁ,福岡県,福岡市博多区,祇園町,0,0,0,0,0,0
40132,816,8120879,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｷﾞﾝﾃﾝﾁｮｳ,福岡県,福岡市博多区,銀天町,0,0,1,0,0,0
40132,812,8120002,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｸｳｺｳﾏｴ,福岡県,福岡市博多区,空港前,0,0,1,0,0,0
40132,812,8120037,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｺﾞｸｼｮﾏﾁ,福岡県,福岡市博多区,御供所町,0,0,0,0,0,0
40132,816,8120884,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｺﾄﾌﾞｷﾁｮｳ,福岡県,福岡市博多区,寿町,0,0,1,0,0,0
40132,812,8120029,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｺﾓﾝﾄﾞﾏﾁ,福岡県,福岡市博多区,古門戸町,0,0,0,0,0,0
40132,816,8120891,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｻｻｲ,福岡県,福岡市博多区,雀居,0,0,0,0,0,0
40132,816,8120887,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｻﾝﾁｸ,福岡県,福岡市博多区,三筑,0,0,1,0,0,0
40132,812,8120015,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｻﾝﾉｳ,福岡県,福岡市博多区,山王,0,0,1,0,0,0
40132,816,8120871,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾉﾉﾒﾏﾁ,福岡県,福岡市博多区,東雲町,0,0,1,0,0,0
40132,812,8120003,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾓｳｽｲ,福岡県,福岡市博多区,下臼井,0,0,0,0,0,0
40132,812,8120027,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾓｶﾜﾊﾞﾀﾏﾁ,福岡県,福岡市博多区,下川端町,0,0,0,0,0,0
40132,812,8120034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾓｺﾞﾌｸﾏﾁ,福岡県,福岡市博多区,下呉服町,0,0,0,0,0,0
40132,816,8120855,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾓﾂｷｸﾞﾏ,福岡県,福岡市博多区,下月隈,0,0,0,0,0,0
40132,816,8120876,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼｮｳﾅﾝﾏﾁ,福岡県,福岡市博多区,昭南町,0,0,1,0,0,0
40132,816,8120875,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｼﾝﾜﾏﾁ,福岡県,福岡市博多区,新和町,0,0,1,0,0,0
40132,812,8120028,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｽｻｷﾏﾁ,福岡県,福岡市博多区,須崎町,0,0,0,0,0,0
40132,812,8120018,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｽﾐﾖｼ,福岡県,福岡市博多区,住吉,0,0,1,0,0,0
40132,812,8120032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ｾｷｼﾞｮｳﾏﾁ,福岡県,福岡市博多区,石城町,0,0,0,0,0,0
40132,812,8120033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾀｲﾊｸﾏﾁ,福岡県,福岡市博多区,大博町,0,0,0,0,0,0
40132,816,8120878,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾀｹｵｶﾏﾁ,福岡県,福岡市博多区,竹丘町,0,0,1,0,0,0
40132,816,8120895,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾀｹｼﾀ,福岡県,福岡市博多区,竹下,0,0,1,0,0,0
40132,812,8120021,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾁｯｺｳﾎﾝﾏﾁ,福岡県,福岡市博多区,築港本町,0,0,0,0,0,0
40132,812,8120044,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾁﾖ,福岡県,福岡市博多区,千代,0,0,1,0,0,0
40132,816,8120858,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾂｷｸﾞﾏ,福岡県,福岡市博多区,月隈,0,0,1,0,0,0
40132,812,8120024,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾂﾅﾊﾞﾏﾁ,福岡県,福岡市博多区,綱場町,0,0,0,0,0,0
40132,812,8120020,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾂﾏｼｮｳｼﾞ,福岡県,福岡市博多区,対馬小路,0,0,0,0,0,0
40132,812,8120025,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾃﾝﾔﾏﾁ,福岡県,福岡市博多区,店屋町,0,0,0,0,0,0
40132,812,8120008,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾄｳｺｳ,福岡県,福岡市博多区,東光,0,0,1,0,0,0
40132,816,8120896,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾄｳｺｳｼﾞﾏﾁ,福岡県,福岡市博多区,東光寺町,0,0,1,0,0,0
40132,816,8120893,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾅｶ,福岡県,福岡市博多区,那珂,0,0,1,0,0,0
40132,812,8120035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾅｶｺﾞﾌｸﾏﾁ,福岡県,福岡市博多区,中呉服町,0,0,0,0,0,0
40132,810,8100801,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾅｶｽ,福岡県,福岡市博多区,中洲,0,0,1,0,0,0
40132,810,8100802,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾅｶｽﾅｶｼﾏﾏﾁ,福岡県,福岡市博多区,中洲中島町,0,0,0,0,0,0
40132,812,8120023,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾅﾗﾔﾏﾁ,福岡県,福岡市博多区,奈良屋町,0,0,0,0,0,0
40132,816,8120857,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾆｼﾂｷｸﾞﾏ,福岡県,福岡市博多区,西月隈,0,0,1,0,0,0
40132,816,8120873,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾆｼﾊﾙﾏﾁ,福岡県,福岡市博多区,西春町,0,0,1,0,0,0
40132,812,8120012,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊｶﾀｴｷﾁｭｳｵｳｶﾞｲ,福岡県,福岡市博多区,博多駅中央街,0,0,0,0,0,0
40132,812,8120011,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊｶﾀｴｷﾏｴ,福岡県,福岡市博多区,博多駅前,0,0,1,0,0,0
40132,812,8120013,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊｶﾀｴｷﾋｶﾞｼ,福岡県,福岡市博多区,博多駅東,0,0,1,0,0,0
40132,812,8120016,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊｶﾀｴｷﾐﾅﾐ,福岡県,福岡市博多区,博多駅南,0,0,1,0,0,0
40132,816,8120872,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊﾙﾏﾁ,福岡県,福岡市博多区,春町,0,0,1,0,0,0
40132,816,8120897,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾊﾝﾐﾁﾊﾞｼ,福岡県,福岡市博多区,半道橋,0,0,1,0,0,0
40132,812,8120014,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｴﾏﾁ,福岡県,福岡市博多区,比恵町,0,0,0,0,0,0
40132,816,8120874,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾘｶﾞｵｶﾏﾁ,福岡県,福岡市博多区,光丘町,0,0,1,0,0,0
40132,812,8120045,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼｺｳｴﾝ,福岡県,福岡市博多区,東公園,0,0,0,0,0,0
40132,816,8120854,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼﾂｷｸﾞﾏ,福岡県,福岡市博多区,東月隈,0,0,1,0,0,0
40132,816,8120892,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼﾅｶ,福岡県,福岡市博多区,東那珂,0,0,1,0,0,0
40132,812,8120007,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼﾋｴ,福岡県,福岡市博多区,東比恵,0,0,1,0,0,0
40132,816,8120853,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼﾋﾗｵ,福岡県,福岡市博多区,東平尾,0,0,0,0,0,0
40132,816,8120852,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾋｶﾞｼﾋﾗｵｺｳｴﾝ,福岡県,福岡市博多区,東平尾公園,0,0,1,0,0,0
40132,816,8120886,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾐﾅﾐﾊﾁﾏﾝﾏﾁ,福岡県,福岡市博多区,南八幡町,0,0,1,0,0,0
40132,816,8120883,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾐﾅﾐﾎﾝﾏﾁ,福岡県,福岡市博多区,南本町,0,0,1,0,0,0
40132,812,8120017,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾐﾉｼﾏ,福岡県,福岡市博多区,美野島,0,0,1,0,0,0
40132,816,8120882,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾑｷﾞﾉ,福岡県,福岡市博多区,麦野,0,0,1,0,0,0
40132,816,8120877,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾓﾄﾏﾁ,福岡県,福岡市博多区,元町,0,0,1,0,0,0
40132,816,8120894,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾓﾛｵｶ,福岡県,福岡市博多区,諸岡,0,0,1,0,0,0
40132,812,8120042,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾕﾀｶ,福岡県,福岡市博多区,豊,0,0,1,0,0,0
40132,812,8120041,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾖｼﾂﾞｶ,福岡県,福岡市博多区,吉塚,0,0,1,0,0,0
40132,812,8120046,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾖｼﾂﾞｶﾎﾝﾏﾁ,福岡県,福岡市博多区,吉塚本町,0,0,0,0,0,0
40132,816,8120862,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾘｭｳｹﾞｼﾞ,福岡県,福岡市博多区,立花寺,0,0,1,0,0,0
40132,812,8120039,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾊｶﾀｸ,ﾚｲｾﾝﾏﾁ,福岡県,福岡市博多区,冷泉町,0,0,0,0,0,0
40133,810,8100000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市中央区,以下に掲載がない場合,0,0,0,0,0,0
40133,810,8100042,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｱｶｻｶ,福岡県,福岡市中央区,赤坂,0,0,1,0,0,0
40133,810,8100076,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｱﾗﾂ,福岡県,福岡市中央区,荒津,0,0,1,0,0,0
40133,810,8100062,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｱﾗﾄ,福岡県,福岡市中央区,荒戸,0,0,1,0,0,0
40133,810,8100067,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｲｻﾞｷ,福岡県,福岡市中央区,伊崎,0,0,0,0,0,0
40133,810,8100021,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｲﾏｲｽﾞﾐ,福岡県,福岡市中央区,今泉,0,0,1,0,0,0
40133,810,8100054,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｲﾏｶﾞﾜ,福岡県,福岡市中央区,今川,0,0,1,0,0,0
40133,810,8100074,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｵｵﾃﾓﾝ,福岡県,福岡市中央区,大手門,0,0,1,0,0,0
40133,810,8100052,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｵｵﾎﾘ,福岡県,福岡市中央区,大濠,0,0,1,0,0,0
40133,810,8100051,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｵｵﾎﾘｺｳｴﾝ,福岡県,福岡市中央区,大濠公園,0,0,0,0,0,0
40133,810,8100013,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｵｵﾐﾔ,福岡県,福岡市中央区,大宮,0,0,1,0,0,0
40133,810,8100033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｵｻﾞｻ,福岡県,福岡市中央区,小笹,0,0,1,0,0,0
40133,810,8100005,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｷﾖｶﾜ,福岡県,福岡市中央区,清川,0,0,1,0,0,0
40133,810,8100045,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｸｻｶﾞｴ,福岡県,福岡市中央区,草香江,0,0,1,0,0,0
40133,810,8100055,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｸﾛﾓﾝ,福岡県,福岡市中央区,黒門,0,0,0,0,0,0
40133,810,8100023,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｹｺﾞ,福岡県,福岡市中央区,警固,0,0,1,0,0,0
40133,810,8100027,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｺﾞｼｮｶﾞﾀﾞﾆ,福岡県,福岡市中央区,御所ケ谷,0,0,0,0,0,0
40133,810,8100024,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｻｸﾗｻﾞｶ,福岡県,福岡市中央区,桜坂,0,0,1,0,0,0
40133,810,8100034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｻｻｵｶ,福岡県,福岡市中央区,笹丘,0,0,1,0,0,0
40133,810,8100018,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｻﾝｿｳﾄﾞｵﾘ,福岡県,福岡市中央区,山荘通,0,0,1,0,0,0
40133,810,8100028,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｼﾞｮｳｽｲﾄﾞｵﾘ,福岡県,福岡市中央区,浄水通,0,0,0,0,0,0
40133,810,8100043,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｼﾞｮｳﾅｲ,福岡県,福岡市中央区,城内,0,0,0,0,0,0
40133,810,8100012,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｼﾛｶﾞﾈ,福岡県,福岡市中央区,白金,0,0,1,0,0,0
40133,810,8100064,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｼﾞｷﾞｮｳ,福岡県,福岡市中央区,地行,0,0,1,0,0,0
40133,810,8100065,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ｼﾞｷﾞｮｳﾊﾏ,福岡県,福岡市中央区,地行浜,0,0,1,0,0,0
40133,810,8100041,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾀﾞｲﾐｮｳ,福岡県,福岡市中央区,大名,0,0,1,0,0,0
40133,810,8100011,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾀｶｻｺﾞ,福岡県,福岡市中央区,高砂,0,0,1,0,0,0
40133,810,8100031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾀﾆ,福岡県,福岡市中央区,谷,0,0,1,0,0,0
40133,810,8100032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾃﾙｸﾆ,福岡県,福岡市中央区,輝国,0,0,1,0,0,0
40133,810,8100001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾃﾝｼﾞﾝ,福岡県,福岡市中央区,天神,0,0,1,0,0,0
40133,810,8100063,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾄｳｼﾞﾝﾏﾁ,福岡県,福岡市中央区,唐人町,0,0,1,0,0,0
40133,810,8100053,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾄﾘｶｲ,福岡県,福岡市中央区,鳥飼,0,0,1,0,0,0
40133,810,8100072,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾅｶﾞﾊﾏ,福岡県,福岡市中央区,長浜,0,0,1,0,0,0
40133,810,8100015,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾅﾉｶﾜ,福岡県,福岡市中央区,那の川,0,0,1,0,0,0
40133,810,8100071,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾅﾉﾂ,福岡県,福岡市中央区,那の津,0,0,1,0,0,0
40133,810,8100061,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾆｼｺｳｴﾝ,福岡県,福岡市中央区,西公園,0,0,0,0,0,0
40133,810,8100002,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾆｼﾅｶｽ,福岡県,福岡市中央区,西中洲,0,0,0,0,0,0
40133,810,8100035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾊﾞｲｺｳｴﾝ,福岡県,福岡市中央区,梅光園,0,0,1,0,0,0
40133,810,8100036,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾊﾞｲｺｳｴﾝﾀﾞﾝﾁ,福岡県,福岡市中央区,梅光園団地,0,0,0,0,0,0
40133,810,8100003,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾊﾙﾖｼ,福岡県,福岡市中央区,春吉,0,0,1,0,0,0
40133,810,8100014,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾋﾗｵ,福岡県,福岡市中央区,平尾,0,0,1,0,0,0
40133,810,8100017,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾋﾗｵｶﾏﾁ,福岡県,福岡市中央区,平丘町,0,0,0,0,0,0
40133,810,8100029,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾋﾗｵｼﾞｮｳｽｲﾏﾁ,福岡県,福岡市中央区,平尾浄水町,0,0,0,0,0,0
40133,810,8100066,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾌｸﾊﾏ,福岡県,福岡市中央区,福浜,0,0,1,0,0,0
40133,810,8100026,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾌﾙｺｶﾞﾗｽﾏﾁ,福岡県,福岡市中央区,古小烏町,0,0,0,0,0,0
40133,810,8100016,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾍｲﾜ,福岡県,福岡市中央区,平和,0,0,1,0,0,0
40133,810,8100073,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾏｲﾂﾞﾙ,福岡県,福岡市中央区,舞鶴,0,0,1,0,0,0
40133,810,8100075,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾐﾅﾄ,福岡県,福岡市中央区,港,0,0,1,0,0,0
40133,810,8100037,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾐﾅﾐｺｳｴﾝ,福岡県,福岡市中央区,南公園,0,0,0,0,0,0
40133,810,8100022,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾔｸｲﾝ,福岡県,福岡市中央区,薬院,0,0,1,0,0,0
40133,810,8100025,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾔｸｲﾝｲﾌｸﾏﾁ,福岡県,福岡市中央区,薬院伊福町,0,0,0,0,0,0
40133,810,8100044,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾛｯﾎﾟﾝﾏﾂ,福岡県,福岡市中央区,六本松,0,0,1,0,0,0
40133,810,8100004,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾁｭｳｵｳｸ,ﾜﾀﾅﾍﾞﾄﾞｵﾘ,福岡県,福岡市中央区,渡辺通,0,0,1,0,0,0
40134,815,8150000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市南区,以下に掲載がない場合,0,0,0,0,0,0
40134,816,8111302,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｲｼﾞﾘ,福岡県,福岡市南区,井尻,0,0,1,0,0,0
40134,815,8150084,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｲﾁｻﾞｷ,福岡県,福岡市南区,市崎,0,0,1,0,0,0
40134,815,8150073,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵｵｲｹ,福岡県,福岡市南区,大池,0,0,1,0,0,0
40134,815,8150082,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵｵｸﾞｽ,福岡県,福岡市南区,大楠,0,0,1,0,0,0
40134,815,8150033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵｵﾊｼ,福岡県,福岡市南区,大橋,0,0,1,0,0,0
40134,815,8150038,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵｵﾊｼﾀﾞﾝﾁ,福岡県,福岡市南区,大橋団地,0,0,0,0,0,0
40134,816,8111313,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵｻ,福岡県,福岡市南区,曰佐,0,0,1,0,0,0
40134,816,8111303,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｵﾘﾀﾃﾏﾁ,福岡県,福岡市南区,折立町,0,0,0,0,0,0
40134,815,8111353,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｶｼﾜﾗ,福岡県,福岡市南区,柏原,0,0,1,0,0,0
40134,816,8111324,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｹﾔｺﾞｳ,福岡県,福岡市南区,警弥郷,0,0,1,0,0,0
40134,816,8150001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｺﾞｼﾞｯｶﾜ,福岡県,福岡市南区,五十川,0,0,1,0,0,0
40134,815,8111365,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｻﾗﾔﾏ,福岡県,福岡市南区,皿山,0,0,1,0,0,0
40134,815,8150032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｼｵﾊﾞﾙ,福岡県,福岡市南区,塩原,0,0,1,0,0,0
40134,815,8150031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ｼﾐｽﾞ,福岡県,福岡市南区,清水,0,0,1,0,0,0
40134,815,8111354,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾀｲﾍｲｼﾞ,福岡県,福岡市南区,大平寺,0,0,1,0,0,0
40134,816,8150004,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾀｶｷ,福岡県,福岡市南区,高木,0,0,1,0,0,0
40134,815,8150083,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾀｶﾐﾔ,福岡県,福岡市南区,高宮,0,0,1,0,0,0
40134,815,8150072,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾀｶﾞ,福岡県,福岡市南区,多賀,0,0,1,0,0,0
40134,815,8150037,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾀﾏｶﾞﾜﾏﾁ,福岡県,福岡市南区,玉川町,0,0,0,0,0,0
40134,815,8150036,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾁｸｼｶﾞｵｶ,福岡県,福岡市南区,筑紫丘,0,0,1,0,0,0
40134,815,8111352,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾂﾙﾀ,福岡県,福岡市南区,鶴田,0,0,1,0,0,0
40134,815,8150074,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾃﾗﾂﾞｶ,福岡県,福岡市南区,寺塚,0,0,1,0,0,0
40134,815,8111364,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾅｶｵ,福岡県,福岡市南区,中尾,0,0,1,0,0,0
40134,815,8150075,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾅｶﾞｵｶ,福岡県,福岡市南区,長丘,0,0,1,0,0,0
40134,815,8111362,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾅｶﾞｽﾞﾐ,福岡県,福岡市南区,長住,0,0,1,0,0,0
40134,815,8150081,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾅﾉｶﾜ,福岡県,福岡市南区,那の川,0,0,1,0,0,0
40134,815,8111361,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾆｼﾅｶﾞｽﾞﾐ,福岡県,福岡市南区,西長住,0,0,1,0,0,0
40134,815,8111347,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾉﾀﾒ,福岡県,福岡市南区,野多目,0,0,1,0,0,0
40134,815,8150041,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾉﾏ,福岡県,福岡市南区,野間,0,0,1,0,0,0
40134,815,8111356,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾊﾅﾊﾀ,福岡県,福岡市南区,花畑,0,0,1,0,0,0
40134,815,8111355,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾋﾊﾞﾙ,福岡県,福岡市南区,桧原,0,0,1,0,0,0
40134,815,8150071,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾍｲﾜ,福岡県,福岡市南区,平和,0,0,1,0,0,0
40134,816,8111314,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾏﾄﾊﾞ,福岡県,福岡市南区,的場,0,0,1,0,0,0
40134,815,8150034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾐﾅﾐｵｵﾊｼ,福岡県,福岡市南区,南大橋,0,0,1,0,0,0
40134,815,8111344,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾐﾔｹ,福岡県,福岡市南区,三宅,0,0,1,0,0,0
40134,815,8111345,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾑｶｲｼﾝﾏﾁ,福岡県,福岡市南区,向新町,0,0,1,0,0,0
40134,815,8150035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾑｶｲﾉ,福岡県,福岡市南区,向野,0,0,1,0,0,0
40134,815,8111351,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾔｶﾀﾊﾞﾙ,福岡県,福岡市南区,屋形原,0,0,1,0,0,0
40134,816,8111323,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾔﾅｶﾞ,福岡県,福岡市南区,弥永,0,0,1,0,0,0
40134,816,8111322,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾔﾅｶﾞﾀﾞﾝﾁ,福岡県,福岡市南区,弥永団地,0,0,0,0,0,0
40134,815,8150063,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾔﾅｺﾞｳﾁ,福岡県,福岡市南区,柳河内,0,0,1,0,0,0
40134,816,8111321,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾔﾅｾ,福岡県,福岡市南区,柳瀬,0,0,1,0,0,0
40134,816,8111311,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾖｺﾃ,福岡県,福岡市南区,横手,0,0,1,0,0,0
40134,816,8111312,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾖｺﾃﾐﾅﾐﾏﾁ,福岡県,福岡市南区,横手南町,0,0,0,0,0,0
40134,815,8111346,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾛｳｼﾞ,福岡県,福岡市南区,老司,0,0,1,0,0,0
40134,815,8150042,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾜｶﾋｻ,福岡県,福岡市南区,若久,0,0,1,0,0,0
40134,815,8150048,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾜｶﾋｻﾀﾞﾝﾁ,福岡県,福岡市南区,若久団地,0,0,0,0,0,0
40134,815,8111343,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾐﾅﾐｸ,ﾜﾀﾞ,福岡県,福岡市南区,和田,0,0,1,0,0,0
40135,819,8190000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市西区,以下に掲載がない場合,0,0,0,0,0,0
40135,819,8190015,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｱﾀｺﾞ,福岡県,福岡市西区,愛宕,0,0,1,0,0,0
40135,819,8190013,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｱﾀｺﾞﾊﾏ,福岡県,福岡市西区,愛宕浜,0,0,1,0,0,0
40135,819,8190007,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｱﾀｺﾞﾐﾅﾐ,福岡県,福岡市西区,愛宕南,0,0,1,0,0,0
40135,81903,8190371,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｲｼﾞ,福岡県,福岡市西区,飯氏,0,0,0,0,0,0
40135,819,8190037,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｲﾓﾘ,福岡県,福岡市西区,飯盛,0,0,0,0,0,0
40135,819,8190042,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｷﾀﾞﾝﾁ,福岡県,福岡市西区,壱岐団地,0,0,0,0,0,0
40135,819,8190055,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｷﾉﾏﾂﾊﾞﾗ,福岡県,福岡市西区,生の松原,0,0,1,0,0,0
40135,819,8190044,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｷﾏﾂﾀﾞｲ,福岡県,福岡市西区,生松台,0,0,1,0,0,0
40135,819,8190025,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｼﾏﾙ,福岡県,福岡市西区,石丸,0,0,1,0,0,0
40135,81903,8190381,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲｽﾞﾐ,福岡県,福岡市西区,泉,0,0,1,0,0,0
40135,81901,8190167,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸ,福岡県,福岡市西区,今宿,0,0,1,0,0,0
40135,81901,8190162,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸｱｵｷ,福岡県,福岡市西区,今宿青木,0,0,0,0,0,0
40135,81901,8190168,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸｴｷﾏｴ,福岡県,福岡市西区,今宿駅前,0,0,1,0,0,0
40135,81901,8190163,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸｶﾐﾉﾊﾙ,福岡県,福岡市西区,今宿上ノ原,0,0,0,0,0,0
40135,81901,8190164,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸﾏﾁ,福岡県,福岡市西区,今宿町,0,0,0,0,0,0
40135,81901,8190161,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏｼﾞｭｸﾋｶﾞｼ,福岡県,福岡市西区,今宿東,0,0,1,0,0,0
40135,81901,8190165,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｲﾏﾂﾞ,福岡県,福岡市西区,今津,0,0,0,0,0,0
40135,81903,8190372,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｳﾀﾞｶﾞﾜﾗ,福岡県,福岡市西区,宇田川原,0,0,0,0,0,0
40135,819,8190005,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｳﾁﾊﾏ,福岡県,福岡市西区,内浜,0,0,1,0,0,0
40135,819,8190021,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｵｵﾏﾁﾀﾞﾝﾁ,福岡県,福岡市西区,大町団地,0,0,0,0,0,0
40135,819,8190001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｵﾄﾞ,福岡県,福岡市西区,小戸,0,0,1,0,0,0
40135,819,8190011,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｵﾛﾉｼﾏ,福岡県,福岡市西区,小呂島,0,0,0,0,0,0
40135,819,8190035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｶﾅﾀｹ,福岡県,福岡市西区,金武,0,0,0,0,0,0
40135,819,8190054,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｶﾐﾔﾏﾄ,福岡県,福岡市西区,上山門,0,0,1,0,0,0
40135,81903,8190388,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｷｭｳﾀﾞｲｼﾝﾏﾁ,福岡県,福岡市西区,九大新町,0,0,0,0,0,0
40135,81902,8190204,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｸｻﾊﾞ,福岡県,福岡市西区,草場,0,0,0,0,0,0
40135,81903,8190382,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｸﾜﾊﾞﾗ,福岡県,福岡市西区,桑原,0,0,0,0,0,0
40135,81902,8190205,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｹﾞﾝｶｲｼﾏ,福岡県,福岡市西区,玄界島,0,0,0,0,0,0
40135,81902,8190203,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｺﾀ,福岡県,福岡市西区,小田,0,0,0,0,0,0
40135,819,8190052,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾓﾔﾏﾄ,福岡県,福岡市西区,下山門,0,0,1,0,0,0
40135,819,8190051,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾓﾔﾏﾄﾀﾞﾝﾁ,福岡県,福岡市西区,下山門団地,0,0,0,0,0,0
40135,819,8190024,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾞｭｳﾛｳｶﾞﾜﾀﾞﾝﾁ,福岡県,福岡市西区,十郎川団地,0,0,0,0,0,0
40135,819,8190041,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾞｭｳﾛｸﾁｮｳ,福岡県,福岡市西区,拾六町,0,0,1,0,0,0
40135,819,8190045,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾞｭｳﾛｸﾁｮｳﾀﾞﾝﾁ,福岡県,福岡市西区,拾六町団地,0,0,0,0,0,0
40135,819,8190053,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｼﾞｮｳﾉﾊﾙﾀﾞﾝﾁ,福岡県,福岡市西区,城の原団地,0,0,0,0,0,0
40135,81903,8190373,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｽｾﾝｼﾞ,福岡県,福岡市西区,周船寺,0,0,1,0,0,0
40135,81903,8190374,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ｾﾝﾘ,福岡県,福岡市西区,千里,0,0,0,0,0,0
40135,819,8190034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾀ,福岡県,福岡市西区,田,0,0,0,0,0,0
40135,81903,8190383,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾀｼﾞﾘ,福岡県,福岡市西区,田尻,0,0,1,0,0,0
40135,81903,8190384,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾀﾛｳﾏﾙ,福岡県,福岡市西区,太郎丸,0,0,1,0,0,0
40135,819,8190032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾄｷﾞﾚ,福岡県,福岡市西区,戸切,0,0,1,0,0,0
40135,81903,8190375,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾄｸﾅｶﾞ,福岡県,福岡市西区,徳永,0,0,0,0,0,0
40135,819,8190014,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾄﾖﾊﾏ,福岡県,福岡市西区,豊浜,0,0,1,0,0,0
40135,819,8190039,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾆｼｲﾘﾍﾞ,福岡県,福岡市西区,西入部,0,0,0,0,0,0
40135,81902,8190202,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾆｼﾉｳﾗ,福岡県,福岡市西区,西浦,0,0,0,0,0,0
40135,819,8190046,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾆｼﾉｵｶ,福岡県,福岡市西区,西の丘,0,0,1,0,0,0
40135,819,8190043,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾉｶﾀ,福岡県,福岡市西区,野方,0,0,1,0,0,0
40135,819,8190012,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾉｺ,福岡県,福岡市西区,能古,0,0,0,0,0,0
40135,819,8190033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾊｼﾓﾄ(ｵｵｱｻﾞ),福岡県,福岡市西区,橋本（大字）,1,0,1,0,0,0
40135,819,8190031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾊｼﾓﾄ(ﾁｮｳﾒ),福岡県,福岡市西区,橋本（丁目）,1,0,1,0,0,0
40135,819,8190038,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾊﾈﾄﾞ,福岡県,福岡市西区,羽根戸,0,0,0,0,0,0
40135,819,8190022,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾌｸｼｹﾞ,福岡県,福岡市西区,福重,0,0,1,0,0,0
40135,819,8190023,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾌｸｼｹﾞﾀﾞﾝﾁ,福岡県,福岡市西区,福重団地,0,0,0,0,0,0
40135,81903,8190387,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾌｼﾞﾐ,福岡県,福岡市西区,富士見,0,0,1,0,0,0
40135,81902,8190201,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾐﾔﾉｳﾗ,福岡県,福岡市西区,宮浦,0,0,0,0,0,0
40135,81903,8190376,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾐｮｳﾊﾞﾙ,福岡県,福岡市西区,女原,0,0,0,0,0,0
40135,819,8190030,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾑﾛﾐｶﾞｵｶ,福岡県,福岡市西区,室見が丘,0,0,1,0,0,0
40135,819,8190002,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾒｲﾉﾊﾏ,福岡県,福岡市西区,姪の浜,0,0,1,0,0,0
40135,819,8190006,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾒｲﾉﾊﾏｴｷﾐﾅﾐ,福岡県,福岡市西区,姪浜駅南,0,0,1,0,0,0
40135,81903,8190385,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾓﾄｵｶ,福岡県,福岡市西区,元岡,0,0,0,0,0,0
40135,81903,8190386,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾓﾄﾊﾏ,福岡県,福岡市西区,元浜,0,0,1,0,0,0
40135,81901,8190166,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾖｺﾊﾏ(1-2ﾁｮｳﾒ),福岡県,福岡市西区,横浜（１〜２丁目）,1,0,1,0,0,0
40135,81903,8190366,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾖｺﾊﾏ(3ﾁｮｳﾒ),福岡県,福岡市西区,横浜（３丁目）,1,0,1,0,0,0
40135,819,8190036,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼﾆｼｸ,ﾖｼﾀｹ,福岡県,福岡市西区,吉武,0,0,0,0,0,0
40136,81401,8140100,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市城南区,以下に掲載がない場合,0,0,0,0,0,0
40136,81401,8140101,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｱﾗｴ,福岡県,福岡市城南区,荒江,0,0,1,0,0,0
40136,81401,8140102,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｱﾗｴﾀﾞﾝﾁ,福岡県,福岡市城南区,荒江団地,0,0,0,0,0,0
40136,81401,8140134,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｲｲｸﾗ,福岡県,福岡市城南区,飯倉,0,0,1,0,0,0
40136,81401,8140144,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｳﾒﾊﾞﾔｼ,福岡県,福岡市城南区,梅林,0,0,1,0,0,0
40136,81401,8140142,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｶﾀｴ,福岡県,福岡市城南区,片江,0,0,0,0,0,0
40136,81401,8140114,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｶﾅﾔﾏﾀﾞﾝﾁ,福岡県,福岡市城南区,金山団地,0,0,0,0,0,0
40136,81401,8140105,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｼﾞｮｳｾｲﾀﾞﾝﾁ,福岡県,福岡市城南区,城西団地,0,0,0,0,0,0
40136,81401,8140121,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ｼﾝｼｮｳｼﾞ,福岡県,福岡市城南区,神松寺,0,0,1,0,0,0
40136,81401,8140154,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾀｶﾗﾀﾞｲﾀﾞﾝﾁ,福岡県,福岡市城南区,宝台団地,0,0,0,0,0,0
40136,81401,8140113,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾀｼﾏ,福岡県,福岡市城南区,田島,0,0,1,0,0,0
40136,81401,8140111,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾁｬﾔﾏ,福岡県,福岡市城南区,茶山,0,0,1,0,0,0
40136,81401,8140151,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾂﾂﾐ,福岡県,福岡市城南区,堤,0,0,1,0,0,0
40136,81401,8140152,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾂﾂﾐﾀﾞﾝﾁ,福岡県,福岡市城南区,堤団地,0,0,0,0,0,0
40136,81401,8140112,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾄﾓｵｶ,福岡県,福岡市城南区,友丘,0,0,1,0,0,0
40136,81401,8140103,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾄﾘｶｲ,福岡県,福岡市城南区,鳥飼,0,0,1,0,0,0
40136,81401,8140123,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾅｶﾞｵ,福岡県,福岡市城南区,長尾,0,0,1,0,0,0
40136,81401,8140133,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾅﾅｸﾏ,福岡県,福岡市城南区,七隈,0,0,0,0,0,0
40136,81401,8140141,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾆｼｶﾀｴ,福岡県,福岡市城南区,西片江,0,0,1,0,0,0
40136,81401,8140153,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾋｲｶﾜ,福岡県,福岡市城南区,樋井川,0,0,1,0,0,0
40136,81401,8140155,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾋｶﾞｼｱﾌﾞﾗﾔﾏ,福岡県,福岡市城南区,東油山,0,0,1,0,0,0
40136,81401,8140104,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾍﾞﾌ,福岡県,福岡市城南区,別府,0,0,1,0,0,0
40136,81401,8140106,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾍﾞﾌﾀﾞﾝﾁ,福岡県,福岡市城南区,別府団地,0,0,0,0,0,0
40136,81401,8140132,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾎｼｸﾏ,福岡県,福岡市城南区,干隈,0,0,1,0,0,0
40136,81401,8140131,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾏﾂﾔﾏ,福岡県,福岡市城南区,松山,0,0,1,0,0,0
40136,81401,8140143,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾐﾅﾐｶﾀｴ,福岡県,福岡市城南区,南片江,0,0,1,0,0,0
40136,81401,8140122,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｼﾞｮｳﾅﾝｸ,ﾕｳｾﾝﾃｲ,福岡県,福岡市城南区,友泉亭,0,0,0,0,0,0
40137,814,8140000,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福岡市早良区,以下に掲載がない場合,0,0,0,0,0,0
40137,814,8140004,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｱｹﾎﾞﾉ,福岡県,福岡市早良区,曙,0,0,1,0,0,0
40137,814,8140021,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｱﾗｴ,福岡県,福岡市早良区,荒江,0,0,1,0,0,0
40137,814,8140033,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｱﾘﾀ,福岡県,福岡市早良区,有田,0,0,1,0,0,0
40137,814,8140034,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｱﾘﾀﾀﾞﾝﾁ,福岡県,福岡市早良区,有田団地,0,0,0,0,0,0
40137,81401,8140161,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｲｲｸﾗ,福岡県,福岡市早良区,飯倉,0,0,1,0,0,0
40137,81111,8111134,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｲｲﾊﾞ,福岡県,福岡市早良区,飯場,0,0,0,0,0,0
40137,81111,8111132,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｲｼｶﾞﾏ,福岡県,福岡市早良区,石釜,0,0,0,0,0,0
40137,81111,8111113,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｲﾀﾔ,福岡県,福岡市早良区,板屋,0,0,0,0,0,0
40137,81111,8111123,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｳﾁﾉ,福岡県,福岡市早良区,内野,0,0,1,0,0,0
40137,81401,8140172,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｳﾒﾊﾞﾔｼ,福岡県,福岡市早良区,梅林,0,0,1,0,0,0
40137,81111,8111112,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｵｶｻｷﾞ,福岡県,福岡市早良区,小笠木,0,0,0,0,0,0
40137,81111,8111124,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｶﾅﾀｹ,福岡県,福岡市早良区,金武,0,0,0,0,0,0
40137,81401,8140164,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｶﾓ,福岡県,福岡市早良区,賀茂,0,0,1,0,0,0
40137,814,8140032,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｺﾀﾍﾞ,福岡県,福岡市早良区,小田部,0,0,1,0,0,0
40137,81111,8111122,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｻﾜﾗ,福岡県,福岡市早良区,早良,0,0,1,0,0,0
40137,81111,8111114,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼｲﾊﾞ,福岡県,福岡市早良区,椎原,0,0,0,0,0,0
40137,81111,8111103,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼｶ,福岡県,福岡市早良区,四箇,0,0,1,0,0,0
40137,81401,8140176,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼｶﾀﾀﾞﾝﾁ,福岡県,福岡市早良区,四箇田団地,0,0,0,0,0,0
40137,81111,8111101,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼｹﾞﾄﾞﾒ,福岡県,福岡市早良区,重留,0,0,1,0,0,0
40137,814,8140003,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼﾞｮｳｾｲ,福岡県,福岡市早良区,城西,0,0,1,0,0,0
40137,814,8140012,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼｮｳﾀﾞｲ,福岡県,福岡市早良区,昭代,0,0,1,0,0,0
40137,81401,8140165,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｼﾞﾛｳﾏﾙ,福岡県,福岡市早良区,次郎丸,0,0,1,0,0,0
40137,814,8140005,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ｿﾊﾗ,福岡県,福岡市早良区,祖原,0,0,0,0,0,0
40137,81401,8140177,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾀ,福岡県,福岡市早良区,田,0,0,0,0,0,0
40137,814,8140011,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾀｶﾄﾘ,福岡県,福岡市早良区,高取,0,0,1,0,0,0
40137,81401,8140174,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾀｸﾞﾏ,福岡県,福岡市早良区,田隈,0,0,1,0,0,0
40137,81401,8140175,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾀﾑﾗ,福岡県,福岡市早良区,田村,0,0,1,0,0,0
40137,81111,8111131,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾆｼ,福岡県,福岡市早良区,西,0,0,0,0,0,0
40137,81401,8140173,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾆｼｱﾌﾞﾗﾔﾏ,福岡県,福岡市早良区,西油山,0,0,0,0,0,0
40137,81111,8111121,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾆｼｲﾙﾍﾞ,福岡県,福岡市早良区,西入部,0,0,1,0,0,0
40137,814,8140002,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾆｼｼﾞﾝ,福岡県,福岡市早良区,西新,0,0,1,0,0,0
40137,81401,8140171,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾉｹ,福岡県,福岡市早良区,野芥,0,0,1,0,0,0
40137,814,8140022,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾊﾗ,福岡県,福岡市早良区,原,0,0,1,0,0,0
40137,814,8140023,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾊﾗﾀﾞﾝﾁ,福岡県,福岡市早良区,原団地,0,0,0,0,0,0
40137,81111,8111102,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾋｶﾞｼｲﾙﾍﾞ,福岡県,福岡市早良区,東入部,0,0,1,0,0,0
40137,814,8140013,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾌｼﾞｻｷ,福岡県,福岡市早良区,藤崎,0,0,1,0,0,0
40137,81401,8140163,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾎｼｸﾏ,福岡県,福岡市早良区,干隈,0,0,1,0,0,0
40137,81401,8140162,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾎｼﾉﾊﾗﾀﾞﾝﾁ,福岡県,福岡市早良区,星の原団地,0,0,0,0,0,0
40137,81111,8111133,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾏｶﾞﾘﾌﾞﾁ,福岡県,福岡市早良区,曲渕,0,0,0,0,0,0
40137,814,8140031,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾐﾅﾐｼｮｳ,福岡県,福岡市早良区,南庄,0,0,1,0,0,0
40137,814,8140035,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾑﾛｽﾞﾐﾀﾞﾝﾁ,福岡県,福岡市早良区,室住団地,0,0,0,0,0,0
40137,814,8140015,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾑﾛﾐ,福岡県,福岡市早良区,室見,0,0,1,0,0,0
40137,814,8140006,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾓﾓﾁ,福岡県,福岡市早良区,百道,0,0,1,0,0,0
40137,814,8140001,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾓﾓﾁﾊﾏ,福岡県,福岡市早良区,百道浜,0,0,1,0,0,0
40137,814,8140014,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾔﾖｲ,福岡県,福岡市早良区,弥生,0,0,1,0,0,0
40137,81111,8111111,ﾌｸｵｶｹﾝ,ﾌｸｵｶｼｻﾜﾗｸ,ﾜｷﾔﾏ,福岡県,福岡市早良区,脇山,0,0,1,0,0,0
40217,818,8180000,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,筑紫野市,以下に掲載がない場合,0,0,0,0,0,0
40217,818,8180011,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｱｼｷ,福岡県,筑紫野市,阿志岐,0,0,0,0,0,0
40217,818,8180012,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｱﾏﾔﾏ,福岡県,筑紫野市,天山,0,0,0,0,0,0
40217,818,8180068,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｲｼｻﾞｷ,福岡県,筑紫野市,石崎,0,0,1,0,0,0
40217,818,8180014,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｳｼｼﾞﾏ,福岡県,筑紫野市,牛島,0,0,0,0,0,0
40217,818,8180034,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｳﾂｸｼｶﾞｵｶﾐﾅﾐ,福岡県,筑紫野市,美しが丘南,0,0,1,0,0,0
40217,818,8180035,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｳﾂｸｼｶﾞｵｶｷﾀ,福岡県,筑紫野市,美しが丘北,0,0,1,0,0,0
40217,818,8180033,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｳﾏｲﾁ,福岡県,筑紫野市,馬市,0,0,0,0,0,0
40217,818,8180006,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｵｵｲｼ,福岡県,筑紫野市,大石,0,0,0,0,0,0
40217,818,8180013,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｵｶﾀﾞ,福岡県,筑紫野市,岡田,0,0,1,0,0,0
40217,818,8180041,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｶﾐｺｶﾞ,福岡県,筑紫野市,上古賀,0,0,1,0,0,0
40217,818,8180031,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｸﾏ,福岡県,筑紫野市,隈,0,0,0,0,0,0
40217,818,8180002,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｺｳｿﾞﾉ,福岡県,筑紫野市,香園,0,0,0,0,0,0
40217,818,8180047,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｺｶﾞ,福岡県,筑紫野市,古賀,0,0,0,0,0,0
40217,818,8180063,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｻｸﾗﾀﾞｲ,福岡県,筑紫野市,桜台,0,0,1,0,0,0
40217,818,8180021,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｼﾀﾐ,福岡県,筑紫野市,下見,0,0,0,0,0,0
40217,818,8180054,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｽｷﾞﾂﾞｶ,福岡県,筑紫野市,杉塚,0,0,1,0,0,0
40217,818,8180067,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ｿﾞｸﾐｮｳｲﾝ,福岡県,筑紫野市,俗明院,0,0,1,0,0,0
40217,818,8180025,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾁｸｼ,福岡県,筑紫野市,筑紫,0,0,0,0,0,0
40217,818,8180022,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾁｸｼｴｷﾏｴﾄﾞｵﾘ,福岡県,筑紫野市,筑紫駅前通,0,0,1,0,0,0
40217,818,8180064,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾂﾈﾏﾂ,福岡県,筑紫野市,常松,0,0,0,0,0,0
40217,818,8180053,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾃﾝﾊﾟｲｻﾞｶ,福岡県,筑紫野市,天拝坂,0,0,1,0,0,0
40217,818,8180055,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾄｳﾉﾊﾙ,福岡県,筑紫野市,塔原,0,0,0,0,0,0
40217,818,8180059,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾄｳﾉﾊﾙﾋｶﾞｼ,福岡県,筑紫野市,塔原東,0,0,1,0,0,0
40217,818,8180073,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾄｳﾉﾊﾙﾆｼ,福岡県,筑紫野市,塔原西,0,0,1,0,0,0
40217,818,8180074,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾄｳﾉﾊﾙﾐﾅﾐ,福岡県,筑紫野市,塔原南,0,0,1,0,0,0
40217,818,8180066,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾅｶﾞｵｶ,福岡県,筑紫野市,永岡,0,0,0,0,0,0
40217,818,8180032,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾆｼｵﾀﾞ,福岡県,筑紫野市,西小田,0,0,0,0,0,0
40217,818,8180044,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊｷﾞﾜﾗ,福岡県,筑紫野市,萩原,0,0,0,0,0,0
40217,818,8180062,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘ,福岡県,筑紫野市,針摺,0,0,0,0,0,0
40217,818,8180085,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘｷﾀ,福岡県,筑紫野市,針摺北,0,0,1,0,0,0
40217,818,8180083,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘﾁｭｳｵｳ,福岡県,筑紫野市,針摺中央,0,0,1,0,0,0
40217,818,8180084,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘﾆｼ,福岡県,筑紫野市,針摺西,0,0,1,0,0,0
40217,818,8180081,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘﾋｶﾞｼ,福岡県,筑紫野市,針摺東,0,0,1,0,0,0
40217,818,8180082,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾘｽﾘﾐﾅﾐ,福岡県,筑紫野市,針摺南,0,0,1,0,0,0
40217,818,8180005,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾙ,福岡県,筑紫野市,原,0,0,0,0,0,0
40217,818,8180024,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾊﾙﾀﾞ,福岡県,筑紫野市,原田,0,0,1,0,0,0
40217,818,8180036,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾋｶﾘｶﾞｵｶ,福岡県,筑紫野市,光が丘,0,0,1,0,0,0
40217,818,8180045,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾋﾞｮｳﾄﾞｳｼﾞ,福岡県,筑紫野市,平等寺,0,0,0,0,0,0
40217,818,8180051,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾌﾂｶｲﾁ,福岡県,筑紫野市,二日市,0,0,0,0,0,0
40217,818,8180056,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾌﾂｶｲﾁｷﾀ,福岡県,筑紫野市,二日市北,0,0,1,0,0,0
40217,818,8180072,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾌﾂｶｲﾁﾁｭｳｵｳ,福岡県,筑紫野市,二日市中央,0,0,1,0,0,0
40217,818,8180071,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾌﾂｶｲﾁﾆｼ,福岡県,筑紫野市,二日市西,0,0,1,0,0,0
40217,818,8180057,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾌﾂｶｲﾁﾐﾅﾐ,福岡県,筑紫野市,二日市南,0,0,1,0,0,0
40217,818,8180007,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾎﾝﾄﾞｳｼﾞ,福岡県,筑紫野市,本道寺,0,0,0,0,0,0
40217,818,8180026,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾐｻｷ,福岡県,筑紫野市,美咲,0,0,0,0,0,0
40217,818,8180052,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾑｻｼ,福岡県,筑紫野市,武藏,0,0,1,0,0,0
40217,818,8180043,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾑｻｼｶﾞｵｶ,福岡県,筑紫野市,むさしケ丘,0,0,1,0,0,0
40217,818,8180061,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾑﾗｻｷ,福岡県,筑紫野市,紫,0,0,1,0,0,0
40217,818,8180065,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾓﾛﾀ,福岡県,筑紫野市,諸田,0,0,0,0,0,0
40217,818,8180003,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾔﾏｴ,福岡県,筑紫野市,山家,0,0,0,0,0,0
40217,818,8180046,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾔﾏｸﾞﾁ,福岡県,筑紫野市,山口,0,0,0,0,0,0
40217,818,8180001,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾕｽﾊﾞﾙ,福岡県,筑紫野市,柚須原,0,0,0,0,0,0
40217,818,8180058,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾕﾏﾁ,福岡県,筑紫野市,湯町,0,0,1,0,0,0
40217,818,8180004,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾖｼｷ,福岡県,筑紫野市,吉木,0,0,0,0,0,0
40217,818,8180042,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾘｭｳﾐｮｳｼﾞ,福岡県,筑紫野市,立明寺,0,0,0,0,0,0
40217,818,8180023,ﾌｸｵｶｹﾝ,ﾁｸｼﾉｼ,ﾜｶｴ,福岡県,筑紫野市,若江,0,0,0,0,0,0
40218,816,8160000,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,春日市,以下に掲載がない場合,0,0,0,1,0,0
40218,816,8160853,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｲｽﾞﾐ,福岡県,春日市,泉,0,0,1,0,0,0
40218,816,8160852,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｲﾁﾉﾀﾆ,福岡県,春日市,一の谷,0,0,1,0,0,0
40218,816,8160831,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｵｵﾀﾆ,福岡県,春日市,大谷,0,0,1,0,0,0
40218,816,8160847,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｵｵﾄﾞｲ,福岡県,春日市,大土居,0,0,1,0,0,0
40218,816,8160861,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｵｶﾓﾄ,福岡県,春日市,岡本,0,0,1,0,0,0
40218,816,8160814,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶｽｶﾞ,福岡県,春日市,春日,0,0,1,0,0,0
40218,816,8160811,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶｽｶﾞｺｳｴﾝ,福岡県,春日市,春日公園,0,0,1,0,0,0
40218,816,8160801,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶｽｶﾞﾊﾞﾙﾋｶﾞｼﾏﾁ,福岡県,春日市,春日原東町,0,0,1,0,0,0
40218,816,8160803,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶｽｶﾞﾊﾞﾙﾐﾅﾐﾏﾁ,福岡県,春日市,春日原南町,0,0,1,0,0,0
40218,816,8160802,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶｽｶﾞﾊﾞﾙｷﾀﾏﾁ,福岡県,春日市,春日原北町,0,0,1,0,0,0
40218,816,8160844,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｶﾐｼﾛｳｽﾞ,福岡県,春日市,上白水,0,0,1,0,0,0
40218,816,8160824,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｺｸﾗ,福岡県,春日市,小倉,0,0,1,0,0,0
40218,816,8160826,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｺｸﾗﾋｶﾞｼ,福岡県,春日市,小倉東,0,0,1,0,0,0
40218,816,8160872,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｻｸﾗｶﾞｵｶ,福岡県,春日市,桜ケ丘,0,0,1,0,0,0
40218,816,8160842,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｼﾓｼﾛｳｽﾞ,福岡県,春日市,下白水,0,0,0,0,0,0
40218,816,8160854,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｼﾓｼﾛｳｽﾞｷﾀ,福岡県,春日市,下白水北,0,0,1,0,0,0
40218,816,8160846,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｼﾓｼﾛｳｽﾞﾐﾅﾐ,福岡県,春日市,下白水南,0,0,1,0,0,0
40218,816,8160848,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｼﾛｳｽﾞｲｹ,福岡県,春日市,白水池,0,0,1,0,0,0
40218,816,8160845,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｼﾛｳｽﾞｶﾞｵｶ,福岡県,春日市,白水ケ丘,0,0,1,0,0,0
40218,816,8160871,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｽｸﾞ,福岡県,春日市,須玖,0,0,0,0,0,0
40218,816,8160863,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｽｸﾞﾐﾅﾐ,福岡県,春日市,須玖南,0,0,1,0,0,0
40218,816,8160864,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｽｸﾞｷﾀ,福岡県,春日市,須玖北,0,0,1,0,0,0
40218,816,8160813,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ｿｳﾘ,福岡県,春日市,惣利,0,0,1,0,0,0
40218,816,8160807,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾀｶﾗﾏﾁ,福岡県,春日市,宝町,0,0,1,0,0,0
40218,816,8160822,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾁｸｼﾀﾞｲ,福岡県,春日市,ちくし台,0,0,1,0,0,0
40218,816,8160805,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾁﾄｾﾏﾁ,福岡県,春日市,千歳町,0,0,1,0,0,0
40218,816,8160841,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾂｶﾊﾗﾀﾞｲ,福岡県,春日市,塚原台,0,0,1,0,0,0
40218,816,8160855,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾃﾝｼﾞﾝﾔﾏ,福岡県,春日市,天神山,0,0,1,0,0,0
40218,816,8160851,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾉﾎﾞﾘﾏﾁ,福岡県,春日市,昇町,0,0,1,0,0,0
40218,816,8160825,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾊｸｹﾞﾝﾁｮｳ,福岡県,春日市,伯玄町,0,0,1,0,0,0
40218,816,8160804,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾊﾗﾏﾁ,福岡県,春日市,原町,0,0,1,0,0,0
40218,816,8160806,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾋｶﾘﾏﾁ,福岡県,春日市,光町,0,0,1,0,0,0
40218,816,8160873,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾋﾉﾃﾞﾏﾁ,福岡県,春日市,日の出町,0,0,1,0,0,0
40218,816,8160812,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾋﾗﾀﾀﾞｲ,福岡県,春日市,平田台,0,0,1,0,0,0
40218,816,8160849,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾎｼﾐｶﾞｵｶ,福岡県,春日市,星見ヶ丘,0,0,1,0,0,0
40218,816,8160843,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾏﾂｶﾞｵｶ,福岡県,春日市,松ケ丘,0,0,1,0,0,0
40218,816,8160833,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾓﾐｼﾞｶﾞｵｶﾋｶﾞｼ,福岡県,春日市,紅葉ケ丘東,0,0,1,0,0,0
40218,816,8160832,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾓﾐｼﾞｶﾞｵｶﾆｼ,福岡県,春日市,紅葉ケ丘西,0,0,1,0,0,0
40218,816,8160874,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾔﾏﾄﾏﾁ,福岡県,春日市,大和町,0,0,1,0,0,0
40218,816,8160862,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾔﾖｲ,福岡県,春日市,弥生,0,0,1,0,0,0
40218,816,8160821,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾜｶﾊﾞﾀﾞｲﾋｶﾞｼ,福岡県,春日市,若葉台東,0,0,1,0,0,0
40218,816,8160823,ﾌｸｵｶｹﾝ,ｶｽｶﾞｼ,ﾜｶﾊﾞﾀﾞｲﾆｼ,福岡県,春日市,若葉台西,0,0,1,0,0,0
40219,816,8160000,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,大野城市,以下に掲載がない場合,0,0,0,1,0,0
40219,816,8160934,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｱｹﾎﾞﾉﾏﾁ,福岡県,大野城市,曙町,0,0,1,0,0,0
40219,816,8160953,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｱｻﾋｶﾞｵｶ,福岡県,大野城市,旭ケ丘,0,0,1,0,0,0
40219,816,8160971,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｳｼｸﾋﾞ,福岡県,大野城市,牛頸,0,0,1,0,0,0
40219,816,8160904,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｵｵｲｹ,福岡県,大野城市,大池,0,0,1,0,0,0
40219,816,8160911,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｵｵｷ,福岡県,大野城市,大城,0,0,1,0,0,0
40219,816,8160902,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｵﾄｶﾞﾅ,福岡県,大野城市,乙金,0,0,1,0,0,0
40219,816,8160903,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｵﾄｶﾞﾅﾀﾞｲ,福岡県,大野城市,乙金台,0,0,1,0,0,0
40219,816,8160901,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｵﾄｶﾞﾅﾋｶﾞｼ,福岡県,大野城市,乙金東,0,0,1,0,0,0
40219,816,8160955,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｶﾐｵｵﾘ,福岡県,大野城市,上大利,0,0,1,0,0,0
40219,816,8160905,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｶﾜｸﾎﾞ,福岡県,大野城市,川久保,0,0,1,0,0,0
40219,816,8160932,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｶﾜﾗﾀﾞ,福岡県,大野城市,瓦田,0,0,1,0,0,0
40219,816,8160924,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｻｶｴﾏﾁ,福岡県,大野城市,栄町,0,0,1,0,0,0
40219,816,8160923,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｻﾞﾂｼｮﾉｸﾏﾏﾁ,福岡県,大野城市,雑餉隈町,0,0,1,0,0,0
40219,816,8160952,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｼﾓｵｵﾘ,福岡県,大野城市,下大利,0,0,1,0,0,0
40219,816,8160951,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｼﾓｵｵﾘﾀﾞﾝﾁ,福岡県,大野城市,下大利団地,0,0,0,0,0,0
40219,816,8160943,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ｼﾗｷﾊﾞﾙ,福岡県,大野城市,白木原,0,0,1,0,0,0
40219,816,8160942,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾁｭｳｵｳ,福岡県,大野城市,中央,0,0,1,0,0,0
40219,816,8160983,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾂｷﾉｳﾗ,福岡県,大野城市,月の浦,0,0,1,0,0,0
40219,816,8160931,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾂﾂｲ,福岡県,大野城市,筒井,0,0,1,0,0,0
40219,816,8160962,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾂﾂｼﾞｶﾞｵｶ,福岡県,大野城市,つつじケ丘,0,0,1,0,0,0
40219,816,8160906,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾅｶ,福岡県,大野城市,中,0,0,1,0,0,0
40219,816,8160921,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾅｶﾊﾀ,福岡県,大野城市,仲畑,0,0,1,0,0,0
40219,816,8160935,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾆｼｷﾏﾁ,福岡県,大野城市,錦町,0,0,1,0,0,0
40219,816,8160982,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾊﾀｶﾞｻｶ,福岡県,大野城市,畑ケ坂,0,0,1,0,0,0
40219,816,8160941,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾋｶﾞｼｵｵﾘ,福岡県,大野城市,東大利,0,0,1,0,0,0
40219,816,8160972,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾋﾗﾉﾀﾞｲ,福岡県,大野城市,平野台,0,0,1,0,0,0
40219,816,8160912,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐｶｻｶﾞﾜ,福岡県,大野城市,御笠川,0,0,1,0,0,0
40219,816,8160933,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐｽﾞﾎﾏﾁ,福岡県,大野城市,瑞穂町,0,0,1,0,0,0
40219,816,8160961,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐﾄﾞﾘｶﾞｵｶ,福岡県,大野城市,緑ケ丘,0,0,1,0,0,0
40219,816,8160956,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐﾅﾐｵｵﾘ,福岡県,大野城市,南大利,0,0,1,0,0,0
40219,816,8160964,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐﾅﾐｶﾞｵｶ,福岡県,大野城市,南ケ丘,0,0,1,0,0,0
40219,816,8160963,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾐﾔﾉﾀﾞｲ,福岡県,大野城市,宮野台,0,0,0,0,0,0
40219,816,8160954,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾑﾗｻｷﾀﾞｲ,福岡県,大野城市,紫台,0,0,0,0,0,0
40219,816,8160922,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾔﾏﾀﾞ,福岡県,大野城市,山田,0,0,1,0,0,0
40219,816,8160973,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾖｺﾐﾈ,福岡県,大野城市,横峰,0,0,1,0,0,0
40219,816,8160981,ﾌｸｵｶｹﾝ,ｵｵﾉｼﾞｮｳｼ,ﾜｶｸｻ,福岡県,大野城市,若草,0,0,1,0,0,0
40220,81134,8113400,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,宗像市,以下に掲載がない場合,0,0,0,0,0,0
40220,81141,8114162,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｵﾊﾞﾀﾞｲ,福岡県,宗像市,青葉台,0,0,1,0,0,0
40220,81141,8114146,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｶﾏ,福岡県,宗像市,赤間,0,0,1,0,0,0
40220,81141,8114185,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｶﾏｴｷﾏｴ,福岡県,宗像市,赤間駅前,0,0,1,0,0,0
40220,81141,8114176,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｶﾏｶﾞｵｶ,福岡県,宗像市,赤間ケ丘,0,0,0,0,0,0
40220,81141,8114148,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｶﾏﾌﾞﾝｷｮｳﾏﾁ,福岡県,宗像市,赤間文教町,0,0,0,0,0,0
40220,81134,8113415,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｻﾉ,福岡県,宗像市,朝野,0,0,0,0,0,0
40220,81141,8114161,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｻﾏﾁ,福岡県,宗像市,朝町,0,0,0,0,0,0
40220,81141,8114157,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｱｽﾃｨ,福岡県,宗像市,アスティ,0,0,1,0,0,0
40220,81134,8113401,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲｹｳﾗ,福岡県,宗像市,池浦,0,0,0,0,0,0
40220,81135,8113515,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲｹﾀﾞ,福岡県,宗像市,池田,0,0,0,0,0,0
40220,81141,8114147,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲｼﾏﾙ,福岡県,宗像市,石丸,0,0,1,0,0,0
40220,81141,8114142,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲｽﾞﾐｶﾞｵｶ,福岡県,宗像市,泉ケ丘,0,0,1,0,0,0
40220,81134,8113406,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｲﾅﾓﾄ,福岡県,宗像市,稲元,0,0,1,0,0,0
40220,81135,8113502,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｴｸﾞﾁ,福岡県,宗像市,江口,0,0,0,0,0,0
40220,81141,8114177,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｳﾋﾞﾀﾞｲ,福岡県,宗像市,桜美台,0,0,0,0,0,0
40220,81134,8113422,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｳﾏﾙ,福岡県,宗像市,王丸,0,0,0,0,0,0
40220,81134,8113432,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵｲ,福岡県,宗像市,大井,0,0,0,0,0,0
40220,81134,8113433,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵｲﾀﾞｲ,福岡県,宗像市,大井台,0,0,0,0,0,0
40220,81134,8113440,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵｲﾐﾅﾐ,福岡県,宗像市,大井南,0,0,0,0,0,0
40220,81137,8113701,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵｼﾏ,福岡県,宗像市,大島,0,0,0,0,0,0
40220,81141,8114141,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵﾀﾆ,福岡県,宗像市,大谷,0,0,0,0,0,0
40220,81134,8113421,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｵｵﾌﾞ,福岡県,宗像市,大穂,0,0,0,0,0,0
40220,81134,8113402,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｶﾄｳ,福岡県,宗像市,河東,0,0,0,0,0,0
40220,81135,8113512,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｶﾈｻﾞｷ,福岡県,宗像市,鐘崎,0,0,0,0,0,0
40220,81134,8113437,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｸﾊﾞﾗ,福岡県,宗像市,久原,0,0,0,0,0,0
40220,81141,8114184,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｸﾘｴｲﾄ,福岡県,宗像市,くりえいと,0,0,1,0,0,0
40220,81135,8113516,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｺｳｴﾝﾄﾞｵﾘ,福岡県,宗像市,公園通り,0,0,1,0,0,0
40220,81135,8113513,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｺｳｼﾞｮｳ,福岡県,宗像市,上八,0,0,0,0,0,0
40220,81135,8113501,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｺｳﾉﾐﾅﾄ,福岡県,宗像市,神湊,0,0,0,0,0,0
40220,81141,8114165,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｺｳﾘｮｳﾀﾞｲ,福岡県,宗像市,広陵台,0,0,1,0,0,0
40220,81141,8114173,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｻｶｴﾏﾁ,福岡県,宗像市,栄町,0,0,0,0,0,0
40220,81141,8114166,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｻｸﾗ,福岡県,宗像市,桜,0,0,1,0,0,0
40220,81141,8114143,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｻﾌﾞﾛｳﾏﾙ,福岡県,宗像市,三郎丸,0,0,1,0,0,0
40220,81135,8113511,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞﾉｼﾏ,福岡県,宗像市,地島,0,0,0,0,0,0
40220,81141,8114163,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞﾕｳｶﾞｵｶ,福岡県,宗像市,自由ケ丘,0,0,1,0,0,0
40220,81141,8114174,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞﾕｳｶﾞｵｶﾆｼﾏﾁ,福岡県,宗像市,自由ケ丘西町,0,0,0,0,0,0
40220,81141,8114156,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞﾕｳｶﾞｵｶﾐﾅﾐ,福岡県,宗像市,自由ケ丘南,0,0,1,0,0,0
40220,81141,8114182,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞｮｳｶﾞﾀﾆ,福岡県,宗像市,城ケ谷,0,0,0,0,0,0
40220,81134,8113404,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞｮｳｾｲｶﾞｵｶ,福岡県,宗像市,城西ケ丘,0,0,1,0,0,0
40220,81141,8114151,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞｮｳﾅﾝｶﾞｵｶ,福岡県,宗像市,城南ケ丘,0,0,0,0,0,0
40220,81141,8114181,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼﾞｮｳﾔﾏﾆｭｰﾀｳﾝ,福岡県,宗像市,城山ニュータウン,0,0,0,0,0,0
40220,81134,8113408,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｼｮｳﾖｳﾀﾞｲ,福岡県,宗像市,樟陽台,0,0,1,0,0,0
40220,81134,8113405,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ｽｴ,福岡県,宗像市,須恵,0,0,1,0,0,0
40220,81141,8114175,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀｸ,福岡県,宗像市,田久,0,0,1,0,0,0
40220,81134,8113431,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀｸﾞﾏ,福岡県,宗像市,田熊,0,0,1,0,0,0
40220,81141,8114152,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀｹﾏﾙ,福岡県,宗像市,武丸,0,0,0,0,0,0
40220,81135,8113505,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀｼﾏ,福岡県,宗像市,田島,0,0,0,0,0,0
40220,81135,8113514,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀﾉ,福岡県,宗像市,田野,0,0,0,0,0,0
40220,81135,8113507,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾀﾚ,福岡県,宗像市,多禮,0,0,0,0,0,0
40220,81141,8114183,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾂﾁｱﾅ,福岡県,宗像市,土穴,0,0,1,0,0,0
40220,81134,8113407,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾃﾝﾋﾟｮｳﾀﾞｲ,福岡県,宗像市,天平台,0,0,0,0,0,0
40220,81134,8113436,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾄｳｺﾞｳ,福岡県,宗像市,東郷,0,0,0,0,0,0
40220,81141,8114164,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾄｸｼｹﾞ,福岡県,宗像市,徳重,0,0,1,0,0,0
40220,81141,8114155,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾅｺﾞﾘ,福岡県,宗像市,名残,0,0,1,0,0,0
40220,81134,8113423,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾉｻｶ,福岡県,宗像市,野坂,0,0,0,0,0,0
40220,81141,8114171,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾊﾔﾏ,福岡県,宗像市,葉山,0,0,1,0,0,0
40220,81134,8113424,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾊﾙﾏﾁ,福岡県,宗像市,原町,0,0,0,0,0,0
40220,81134,8113403,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾋｶﾘｶﾞｵｶ,福岡県,宗像市,ひかりケ丘,0,0,1,0,0,0
40220,81134,8113425,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾋﾉｻﾄ,福岡県,宗像市,日の里,0,0,1,0,0,0
40220,81134,8113412,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾋﾞｮｳﾄﾞｳｼﾞ,福岡県,宗像市,平等寺,0,0,0,0,0,0
40220,81134,8113430,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾋﾗｲ,福岡県,宗像市,平井,0,0,1,0,0,0
40220,81135,8113504,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾌｶﾀ,福岡県,宗像市,深田,0,0,0,0,0,0
40220,81141,8114154,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾌｼﾞﾜﾗ,福岡県,宗像市,冨地原,0,0,0,0,0,0
40220,81141,8114113,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾏｶﾞﾘ(25､35),福岡県,宗像市,曲（２５、３５）,1,0,0,0,0,0
40220,81134,8113413,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾏｶﾞﾘ(ｿﾉﾀ),福岡県,宗像市,曲（その他）,1,0,0,0,0,0
40220,81134,8113439,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾐｸﾗ,福岡県,宗像市,三倉,0,0,0,0,0,0
40220,81134,8113414,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾐﾂｵｶ,福岡県,宗像市,光岡,0,0,0,0,0,0
40220,81141,8114172,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾐﾄﾞﾘﾏﾁ,福岡県,宗像市,緑町,0,0,0,0,0,0
40220,81134,8113416,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾐﾔﾀ,福岡県,宗像市,宮田,0,0,1,0,0,0
40220,81135,8113503,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾑﾀｼﾞﾘ,福岡県,宗像市,牟田尻,0,0,0,0,0,0
40220,81134,8113434,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾑﾗﾔﾏﾀﾞ,福岡県,宗像市,村山田,0,0,0,0,0,0
40220,81134,8113435,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾓﾁﾔﾏ,福岡県,宗像市,用山,0,0,0,0,0,0
40220,81134,8113411,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾔﾏﾀﾞ,福岡県,宗像市,山田,0,0,0,0,0,0
40220,81135,8113506,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾖｼﾀﾞ,福岡県,宗像市,吉田,0,0,0,0,0,0
40220,81141,8114153,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾖｼﾄﾞﾒ,福岡県,宗像市,吉留,0,0,0,0,0,0
40220,81141,8114145,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾘｮｳｹﾞﾝｼﾞ,福岡県,宗像市,陵厳寺,0,0,1,0,0,0
40220,81134,8113438,ﾌｸｵｶｹﾝ,ﾑﾅｶﾀｼ,ﾜｶﾐﾀﾞｲ,福岡県,宗像市,和歌美台,0,0,0,0,0,0
40221,81801,8180100,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,太宰府市,以下に掲載がない場合,0,0,0,0,0,0
40221,81801,8180137,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｱｵﾊﾞﾀﾞｲ,福岡県,太宰府市,青葉台,0,0,1,0,0,0
40221,81801,8180121,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｱｵﾔﾏ,福岡県,太宰府市,青山,0,0,1,0,0,0
40221,81801,8180118,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｲｼｻﾞｶ,福岡県,太宰府市,石坂,0,0,1,0,0,0
40221,81801,8180115,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｳﾁﾔﾏ,福岡県,太宰府市,内山,0,0,0,0,0,0
40221,81801,8180123,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｳﾒｶﾞｵｶ,福岡県,太宰府市,梅ケ丘,0,0,1,0,0,0
40221,81801,8180134,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｵｵｻﾞﾉ,福岡県,太宰府市,大佐野,0,0,0,0,0,0
40221,81801,8180101,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｶﾝｾﾞｵﾝｼﾞ,福岡県,太宰府市,観世音寺,0,0,1,0,0,0
40221,81801,8180114,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｷﾀﾀﾞﾆ,福岡県,太宰府市,北谷,0,0,0,0,0,0
40221,81801,8180132,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｺｸﾌﾞ,福岡県,太宰府市,国分,0,0,1,0,0,0
40221,81801,8180125,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｺﾞｼﾞｮｳ,福岡県,太宰府市,五条,0,0,1,0,0,0
40221,81801,8180139,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｻｲﾄ,福岡県,太宰府市,宰都,0,0,1,0,0,0
40221,81801,8180117,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｻｲﾌ,福岡県,太宰府市,宰府,0,0,1,0,0,0
40221,81801,8180133,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｻｶﾓﾄ,福岡県,太宰府市,坂本,0,0,1,0,0,0
40221,81801,8180111,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｻﾝｼﾞｮｳ,福岡県,太宰府市,三条,0,0,1,0,0,0
40221,81801,8180102,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｼﾗｶﾜ,福岡県,太宰府市,白川,0,0,0,0,0,0
40221,81801,8180103,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ｽｻﾞｸ,福岡県,太宰府市,朱雀,0,0,1,0,0,0
40221,81801,8180122,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾀｶｵ,福岡県,太宰府市,高雄,0,0,1,0,0,0
40221,81801,8180104,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾄｵﾉｺｶﾞ,福岡県,太宰府市,通古賀,0,0,1,0,0,0
40221,81801,8180105,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾄﾌﾛｳﾐﾅﾐ,福岡県,太宰府市,都府楼南,0,0,1,0,0,0
40221,81801,8180136,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾅｶﾞｳﾗﾀﾞｲ,福岡県,太宰府市,長浦台,0,0,1,0,0,0
40221,81801,8180124,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾊﾞｲｺｳｴﾝ,福岡県,太宰府市,梅香苑,0,0,1,0,0,0
40221,81801,8180110,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾐｶｻ,福岡県,太宰府市,御笠,0,0,1,0,0,0
40221,81801,8180131,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾐｽﾞｷ,福岡県,太宰府市,水城,0,0,1,0,0,0
40221,81801,8180135,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾑｶｲｻﾞﾉ,福岡県,太宰府市,向佐野,0,0,0,0,0,0
40221,81801,8180138,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾖｼﾏﾂ,福岡県,太宰府市,吉松,0,0,1,0,0,0
40221,81801,8180119,ﾌｸｵｶｹﾝ,ﾀﾞｻﾞｲﾌｼ,ﾚﾝｶﾞﾔ,福岡県,太宰府市,連歌屋,0,0,1,0,0,0
40223,81131,8113100,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,古賀市,以下に掲載がない場合,0,0,0,0,0,0
40223,81131,8113134,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｱｵﾔｷﾞ,福岡県,古賀市,青柳,0,0,0,0,0,0
40223,81131,8113133,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｱｵﾔｷﾞﾏﾁ,福岡県,古賀市,青柳町,0,0,0,0,0,0
40223,81131,8113136,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｲﾄｶﾞｳﾗ,福岡県,古賀市,糸ケ浦,0,0,0,0,0,0
40223,81131,8113131,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｲﾏｻﾞｲｹ,福岡県,古賀市,今在家,0,0,0,0,0,0
40223,81131,8113117,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｲﾏﾉｼｮｳ,福岡県,古賀市,今の庄,0,0,1,0,0,0
40223,81131,8113102,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｴｷﾋｶﾞｼ,福岡県,古賀市,駅東,0,0,1,0,0,0
40223,81131,8113135,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｵﾀﾞｹ,福岡県,古賀市,小竹,0,0,0,0,0,0
40223,81131,8113126,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｵﾔﾏﾀﾞ,福岡県,古賀市,小山田,0,0,0,0,0,0
40223,81131,8113104,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｶﾂﾞﾙｶﾞｵｶ,福岡県,古賀市,花鶴丘,0,0,1,0,0,0
40223,81131,8113132,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｶﾜﾊﾞﾙ,福岡県,古賀市,川原,0,0,0,0,0,0
40223,81131,8113115,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｸﾎﾞ,福岡県,古賀市,久保,0,0,0,0,0,0
40223,81131,8113137,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｺｶﾞ,福岡県,古賀市,古賀,0,0,0,0,0,0
40223,81131,8113122,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｺﾓﾉ,福岡県,古賀市,薦野,0,0,0,0,0,0
40223,81131,8113105,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｼｼﾌﾞ,福岡県,古賀市,鹿部,0,0,0,0,0,0
40223,81131,8113116,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｼｮｳ,福岡県,古賀市,庄,0,0,0,0,0,0
40223,81131,8113118,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｼﾝｸﾎﾞ,福岡県,古賀市,新久保,0,0,1,0,0,0
40223,81131,8113127,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ｼﾝﾊﾞﾙ,福岡県,古賀市,新原,0,0,0,0,0,0
40223,81131,8113125,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾀﾆﾔﾏ,福岡県,古賀市,谷山,0,0,0,0,0,0
40223,81131,8113113,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾁﾄﾞﾘ,福岡県,古賀市,千鳥,0,0,1,0,0,0
40223,81131,8113103,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾁｭｳｵｳ,福岡県,古賀市,中央,0,0,1,0,0,0
40223,81131,8113101,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾃﾝｼﾞﾝ,福岡県,古賀市,天神,0,0,1,0,0,0
40223,81131,8113123,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾈﾀﾋﾞ,福岡県,古賀市,米多比,0,0,0,0,0,0
40223,81131,8113112,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾊﾅﾐﾋｶﾞｼ,福岡県,古賀市,花見東,0,0,1,0,0,0
40223,81131,8113111,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾊﾅﾐﾐﾅﾐ,福岡県,古賀市,花見南,0,0,1,0,0,0
40223,81131,8113106,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾋﾖｼ,福岡県,古賀市,日吉,0,0,1,0,0,0
40223,81131,8113114,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾏｲﾉｻﾄ,福岡県,古賀市,舞の里,0,0,1,0,0,0
40223,81131,8113107,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾐｱｹ,福岡県,古賀市,美明,0,0,1,0,0,0
40223,81131,8113121,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾑｼﾛｳﾁ,福岡県,古賀市,筵内,0,0,0,0,0,0
40223,81131,8113124,ﾌｸｵｶｹﾝ,ｺｶﾞｼ,ﾔｸｵｳｼﾞ,福岡県,古賀市,薬王寺,0,0,0,0,0,0
40224,81132,8113200,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,福津市,以下に掲載がない場合,0,0,0,0,0,0
40224,81132,8113213,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾌｸﾂｼﾉﾂｷﾞﾆﾊﾞﾝﾁｶﾞｸﾙﾊﾞｱｲ,福岡県,福津市,福津市の次に番地がくる場合,0,0,0,0,0,0
40224,81132,8113220,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｱｹﾎﾞﾉ,福岡県,福津市,あけぼの,0,0,0,0,0,0
40224,81132,8113202,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｱｾﾞﾏﾁ,福岡県,福津市,畦町,0,0,0,0,0,0
40224,81133,8113301,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｱﾗｼﾞ,福岡県,福津市,在自,0,0,0,0,0,0
40224,81132,8113205,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｳﾁﾄﾞﾉ,福岡県,福津市,内殿,0,0,0,0,0,0
40224,81133,8113302,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｵｵｲｼ,福岡県,福津市,大石,0,0,0,0,0,0
40224,81132,8113226,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｵﾀﾞｹ,福岡県,福津市,小竹,0,0,1,0,0,0
40224,81135,8113521,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｶﾂｳﾗ,福岡県,福津市,勝浦,0,0,0,0,0,0
40224,81132,8113207,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｶﾐｻｲｺﾞｳ,福岡県,福津市,上西郷,0,0,0,0,0,0
40224,81132,8113223,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｺｳﾖｳﾀﾞｲ,福岡県,福津市,光陽台,0,0,1,0,0,0
40224,81132,8113228,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｺｳﾖｳﾀﾞｲﾐﾅﾐ,福岡県,福津市,光陽台南,0,0,1,0,0,0
40224,81132,8113229,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｻｸﾗｶﾞﾜ,福岡県,福津市,桜川,0,0,0,0,0,0
40224,81132,8113204,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｼｬﾘｸﾗ,福岡県,福津市,舎利蔵,0,0,0,0,0,0
40224,81133,8113303,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ｽﾀﾞﾀ,福岡県,福津市,須多田,0,0,0,0,0,0
40224,81132,8113227,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾀｶﾋﾗ,福岡県,福津市,高平,0,0,0,0,0,0
40224,81132,8113217,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾁｭｳｵｳ,福岡県,福津市,中央,0,0,1,0,0,0
40224,81132,8113222,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾂﾏﾙ,福岡県,福津市,津丸,0,0,0,0,0,0
40224,81133,8113304,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾂﾔｻﾞｷ,福岡県,福津市,津屋崎,0,0,1,0,0,0
40224,81132,8113224,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾃﾋﾞｶ,福岡県,福津市,手光,0,0,0,0,0,0
40224,81132,8113218,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾃﾋﾞｶﾐﾅﾐ,福岡県,福津市,手光南,0,0,1,0,0,0
40224,81132,8113219,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾆｼﾌｸﾏ,福岡県,福津市,西福間,0,0,1,0,0,0
40224,81135,8113522,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾇﾔﾏ,福岡県,福津市,奴山,0,0,0,0,0,0
40224,81132,8113214,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾊﾅﾐｶﾞｵｶ,福岡県,福津市,花見が丘,0,0,1,0,0,0
40224,81132,8113216,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾊﾅﾐｶﾞﾊﾏ,福岡県,福津市,花見が浜,0,0,1,0,0,0
40224,81132,8113215,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾊﾅﾐﾉｻﾄ,福岡県,福津市,花見の里,0,0,1,0,0,0
40224,81132,8113225,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾋｶﾞｼﾌｸﾏ,福岡県,福津市,東福間,0,0,1,0,0,0
40224,81132,8113206,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾋｻｽｴ,福岡県,福津市,久末,0,0,0,0,0,0
40224,81132,8113208,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾌｸﾏｴｷﾋｶﾞｼ,福岡県,福津市,福間駅東,0,0,1,0,0,0
40224,81132,8113212,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾌｸﾏﾐﾅﾐ,福岡県,福津市,福間南,0,0,1,0,0,0
40224,81133,8113308,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾎｼｶﾞｵｶ,福岡県,福津市,星ケ丘,0,0,0,0,0,0
40224,81133,8113305,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾐﾔｼﾞ,福岡県,福津市,宮司,0,0,1,0,0,0
40224,81133,8113312,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾐﾔｼﾞｶﾞｵｶ,福岡県,福津市,宮司ヶ丘,0,0,0,0,0,0
40224,81133,8113311,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾐﾔｼﾞﾊﾏ,福岡県,福津市,宮司浜,0,0,1,0,0,0
40224,81133,8113309,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾐﾔｼﾞﾓﾄﾏﾁ,福岡県,福津市,宮司元町,0,0,0,0,0,0
40224,81132,8113203,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾓﾄｷﾞ,福岡県,福津市,本木,0,0,0,0,0,0
40224,81132,8113201,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾔﾂﾅﾐ,福岡県,福津市,八並,0,0,0,0,0,0
40224,81133,8113306,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾕｸｴ,福岡県,福津市,生家,0,0,0,0,0,0
40224,81132,8113211,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾕﾐﾉｻﾄ,福岡県,福津市,有弥の里,0,0,1,0,0,0
40224,81132,8113221,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾜｶｷﾞﾀﾞｲ,福岡県,福津市,若木台,0,0,1,0,0,0
40224,81133,8113307,ﾌｸｵｶｹﾝ,ﾌｸﾂｼ,ﾜﾀﾘ,福岡県,福津市,渡,0,0,0,0,0,0
40230,81911,8191100,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糸島市,以下に掲載がない場合,0,0,0,0,0,0
40230,81911,8191132,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｱﾘﾀ,福岡県,糸島市,有田,0,0,0,0,0,0
40230,81911,8191127,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｱﾘﾀﾁｭｳｵｳ,福岡県,糸島市,有田中央,0,0,1,0,0,0
40230,81911,8191152,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲｲﾊﾞﾙ,福岡県,糸島市,飯原,0,0,0,0,0,0
40230,81911,8191103,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲｹﾀﾞ,福岡県,糸島市,池田,0,0,0,0,0,0
40230,81915,8191562,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲﾀ,福岡県,糸島市,井田,0,0,0,0,0,0
40230,81911,8191101,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲﾀﾓﾁ,福岡県,糸島市,板持,0,0,1,0,0,0
40230,81911,8191126,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲﾜﾓﾄ,福岡県,糸島市,岩本,0,0,0,0,0,0
40230,81915,8191582,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｲﾜﾗ,福岡県,糸島市,井原,0,0,0,0,0,0
40230,81911,8191112,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｳﾗｼ,福岡県,糸島市,浦志,0,0,1,0,0,0
40230,81911,8191105,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｳﾙｳ,福岡県,糸島市,潤,0,0,1,0,0,0
40230,81915,8191573,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｵｳﾏﾙ,福岡県,糸島市,王丸,0,0,0,0,0,0
40230,81911,8191135,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｵｵｳﾗ,福岡県,糸島市,大浦,0,0,0,0,0,0
40230,81911,8191121,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｵｷﾞﾉｳﾗ,福岡県,糸島市,荻浦,0,0,0,0,0,0
40230,81911,8191124,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｶﾌﾘ,福岡県,糸島市,加布里,0,0,0,0,0,0
40230,81911,8191123,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｶﾐｱﾘ,福岡県,糸島市,神在,0,0,0,0,0,0
40230,81911,8191155,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｶﾜﾂｷ,福岡県,糸島市,川付,0,0,0,0,0,0
40230,81915,8191574,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｶﾜﾊﾞﾙ,福岡県,糸島市,川原,0,0,0,0,0,0
40230,81911,8191141,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｸﾗﾓﾁ,福岡県,糸島市,蔵持,0,0,0,0,0,0
40230,81915,8191563,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｺｳﾗｲｼﾞ,福岡県,糸島市,高来寺,0,0,0,0,0,0
40230,81911,8191147,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｺｳﾘｷ,福岡県,糸島市,香力,0,0,0,0,0,0
40230,81911,8191106,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾄ,福岡県,糸島市,志登,0,0,0,0,0,0
40230,81911,8191131,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾉﾜﾗ,福岡県,糸島市,篠原,0,0,0,0,0,0
40230,81911,8191129,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾉﾜﾗﾆｼ,福岡県,糸島市,篠原西,0,0,1,0,0,0
40230,81911,8191128,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾉﾜﾗﾋｶﾞｼ,福岡県,糸島市,篠原東,0,0,1,0,0,0
40230,81913,8191301,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｲﾀﾞﾊﾗ,福岡県,糸島市,志摩井田原,0,0,0,0,0,0
40230,81913,8191313,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｲﾅﾄﾞﾒ,福岡県,糸島市,志摩稲留,0,0,0,0,0,0
40230,81913,8191315,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｲﾅﾊﾞ,福岡県,糸島市,志摩稲葉,0,0,0,0,0,0
40230,81913,8191334,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｷｼ,福岡県,糸島市,志摩岐志,0,0,0,0,0,0
40230,81913,8191331,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｸｶﾞ,福岡県,糸島市,志摩久家,0,0,0,0,0,0
40230,81913,8191335,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｹﾔ,福岡県,糸島市,志摩芥屋,0,0,0,0,0,0
40230,81913,8191323,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｺｶﾞﾈﾏﾙ,福岡県,糸島市,志摩小金丸,0,0,0,0,0,0
40230,81913,8191321,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｺﾌｼﾞ,福岡県,糸島市,志摩小富士,0,0,0,0,0,0
40230,81913,8191304,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｻｸﾗｲ,福岡県,糸島市,志摩桜井,0,0,0,0,0,0
40230,81913,8191333,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏｼﾝﾏﾁ,福岡県,糸島市,志摩新町,0,0,0,0,0,0
40230,81913,8191311,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾂﾜｻﾞｷ,福岡県,糸島市,志摩津和崎,0,0,0,0,0,0
40230,81913,8191325,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾆｼｶｲﾂﾞｶ,福岡県,糸島市,志摩西貝塚,0,0,0,0,0,0
40230,81913,8191303,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾉｷﾞﾀ,福岡県,糸島市,志摩野北,0,0,0,0,0,0
40230,81913,8191312,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾊﾂ,福岡県,糸島市,志摩初,0,0,0,0,0,0
40230,81913,8191305,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾊﾞﾊﾞ,福岡県,糸島市,志摩馬場,0,0,0,0,0,0
40230,81913,8191324,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾋｶﾞｼｶｲﾂﾞｶ,福岡県,糸島市,志摩東貝塚,0,0,0,0,0,0
40230,81913,8191336,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾋﾒｼﾏ,福岡県,糸島市,志摩姫島,0,0,0,0,0,0
40230,81913,8191332,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾌﾅｺｼ,福岡県,糸島市,志摩船越,0,0,0,0,0,0
40230,81913,8191306,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾏﾂｸﾞﾏ,福岡県,糸島市,志摩松隈,0,0,0,0,0,0
40230,81913,8191322,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾐﾄｺ,福岡県,糸島市,志摩御床,0,0,0,0,0,0
40230,81913,8191314,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾓﾛﾖｼ,福岡県,糸島市,志摩師吉,0,0,0,0,0,0
40230,81913,8191302,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾏﾖｼﾀﾞ,福岡県,糸島市,志摩吉田,0,0,0,0,0,0
40230,81911,8191154,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾗｲﾄ,福岡県,糸島市,白糸,0,0,0,0,0,0
40230,81911,8191114,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｼﾝﾃﾞﾝ,福岡県,糸島市,新田,0,0,0,0,0,0
40230,81915,8191581,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｽﾞｲﾊﾞｲｼﾞ,福岡県,糸島市,瑞梅寺,0,0,0,0,0,0
40230,81915,8191572,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｽｴﾅｶﾞ,福岡県,糸島市,末永,0,0,0,0,0,0
40230,81911,8191156,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｾﾄ,福岡県,糸島市,瀬戸,0,0,0,0,0,0
40230,81915,8191561,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ｿﾈ,福岡県,糸島市,曽根,0,0,0,0,0,0
40230,81915,8191564,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾀﾞｲﾓﾝ,福岡県,糸島市,大門,0,0,0,0,0,0
40230,81911,8191143,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾀｶｳｴ,福岡県,糸島市,高上,0,0,0,0,0,0
40230,81915,8191571,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾀｶｽ,福岡県,糸島市,高祖,0,0,0,0,0,0
40230,81911,8191102,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾀｶﾀ,福岡県,糸島市,高田,0,0,1,0,0,0
40230,81911,8191134,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾀｸ,福岡県,糸島市,多久,0,0,0,0,0,0
40230,81911,8191125,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾁﾊﾔｼﾝﾃﾞﾝ,福岡県,糸島市,千早新田,0,0,0,0,0,0
40230,81911,8191111,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾄﾏﾘ,福岡県,糸島市,泊,0,0,0,0,0,0
40230,81911,8191133,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾄﾐ,福岡県,糸島市,富,0,0,0,0,0,0
40230,81911,8191153,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾅｶﾞﾉ,福岡県,糸島市,長野,0,0,0,0,0,0
40230,81915,8191575,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾉﾄﾞｳ,福岡県,糸島市,西堂,0,0,0,0,0,0
40230,81916,8191622,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳｲｷｻﾝ,福岡県,糸島市,二丈一貴山,0,0,0,0,0,0
40230,81916,8191623,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳｲｼｻﾞｷ,福岡県,糸島市,二丈石崎,0,0,0,0,0,0
40230,81916,8191611,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳｶﾀﾔﾏ,福岡県,糸島市,二丈片山,0,0,0,0,0,0
40230,81916,8191621,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳｶﾐﾌｶｴ,福岡県,糸島市,二丈上深江,0,0,0,0,0,0
40230,81916,8191642,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳｼｶｶ,福岡県,糸島市,二丈鹿家,0,0,0,0,0,0
40230,81916,8191616,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾀｹ,福岡県,糸島市,二丈武,0,0,0,0,0,0
40230,81916,8191615,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾀﾅｶ,福岡県,糸島市,二丈田中,0,0,0,0,0,0
40230,81916,8191625,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾅｶﾞｲｼ,福岡県,糸島市,二丈長石,0,0,0,0,0,0
40230,81916,8191614,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾊﾏｸﾎﾞ,福岡県,糸島市,二丈浜窪,0,0,0,0,0,0
40230,81916,8191626,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾊﾛ,福岡県,糸島市,二丈波呂,0,0,0,0,0,0
40230,81916,8191601,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾌｶｴ,福岡県,糸島市,二丈深江,0,0,0,0,0,0
40230,81916,8191631,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾌｸｲ,福岡県,糸島市,二丈福井,0,0,0,0,0,0
40230,81916,8191612,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾏｽｴ(ｼﾓﾏｽｴ),福岡県,糸島市,二丈松末（下松末）,1,0,0,0,0,0
40230,81916,8191613,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾏｽｴ(ｿﾉﾀ),福岡県,糸島市,二丈松末（その他）,1,0,0,0,0,0
40230,81916,8191627,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾏﾂｸﾆ,福岡県,糸島市,二丈松国,0,0,0,0,0,0
40230,81916,8191624,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾐﾂﾖｼ,福岡県,糸島市,二丈満吉,0,0,0,0,0,0
40230,81916,8191641,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾆｼﾞｮｳﾖｼｲ,福岡県,糸島市,二丈吉井,0,0,0,0,0,0
40230,81911,8191104,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾊﾀｴ,福岡県,糸島市,波多江,0,0,0,0,0,0
40230,81911,8191107,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾊﾀｴｴｷｷﾀ,福岡県,糸島市,波多江駅北,0,0,1,0,0,0
40230,81911,8191108,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾊﾀｴｴｷﾐﾅﾐ,福岡県,糸島市,波多江駅南,0,0,1,0,0,0
40230,81911,8191122,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾋｶﾞｼ,福岡県,糸島市,東,0,0,0,0,0,0
40230,81911,8191151,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾎﾝ,福岡県,糸島市,本,0,0,0,0,0,0
40230,81911,8191113,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙ,福岡県,糸島市,前原,0,0,0,0,0,0
40230,81911,8191138,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙｴｷﾐﾅﾐ,福岡県,糸島市,前原駅南,0,0,1,0,0,0
40230,81911,8191118,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙｷﾀ,福岡県,糸島市,前原北,0,0,1,0,0,0
40230,81911,8191116,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙﾁｭｳｵｳ,福岡県,糸島市,前原中央,0,0,1,0,0,0
40230,81911,8191117,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙﾆｼ,福岡県,糸島市,前原西,0,0,1,0,0,0
40230,81911,8191119,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙﾋｶﾞｼ,福岡県,糸島市,前原東,0,0,1,0,0,0
40230,81911,8191139,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾏｴﾊﾞﾙﾐﾅﾐ,福岡県,糸島市,前原南,0,0,1,0,0,0
40230,81915,8191583,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾐｸﾓ,福岡県,糸島市,三雲,0,0,0,0,0,0
40230,81911,8191146,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾐｻｶ,福岡県,糸島市,三坂,0,0,0,0,0,0
40230,81911,8191136,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾐｻｷｶﾞｵｶ,福岡県,糸島市,美咲が丘,0,0,1,0,0,0
40230,81911,8191137,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾐﾅｶｾﾞﾀﾞｲ,福岡県,糸島市,南風台,0,0,1,0,0,0
40230,81911,8191142,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾔｼﾏ,福岡県,糸島市,八島,0,0,0,0,0,0
40230,81911,8191144,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾔﾏｷﾞﾀ,福岡県,糸島市,山北,0,0,0,0,0,0
40230,81911,8191115,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾕﾋﾞ,福岡県,糸島市,油比,0,0,0,0,0,0
40230,81911,8191145,ﾌｸｵｶｹﾝ,ｲﾄｼﾏｼ,ﾗｲｻﾞﾝ,福岡県,糸島市,雷山,0,0,0,0,0,0
40305,81112,8111200,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,筑紫郡那珂川町,以下に掲載がない場合,0,0,0,0,0,0
40305,81112,8111224,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｱﾝﾄｸ,福岡県,筑紫郡那珂川町,安徳,0,0,0,0,0,0
40305,81112,8111233,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｲﾁﾉｾ,福岡県,筑紫郡那珂川町,市ノ瀬,0,0,0,0,0,0
40305,81112,8111211,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｲﾏﾐﾂ,福岡県,筑紫郡那珂川町,今光,0,0,1,0,0,0
40305,81112,8111241,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｳｼﾛﾉ,福岡県,筑紫郡那珂川町,後野,0,0,0,0,0,0
40305,81112,8111232,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｳﾒｶﾞﾈ,福岡県,筑紫郡那珂川町,埋金,0,0,0,0,0,0
40305,81112,8111255,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｴｺ,福岡県,筑紫郡那珂川町,恵子,0,0,1,0,0,0
40305,81112,8111221,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｵｳﾂｶﾀﾞｲ,福岡県,筑紫郡那珂川町,王塚台,0,0,1,0,0,0
40305,81112,8111201,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｶﾀﾅﾜ,福岡県,筑紫郡那珂川町,片縄,0,0,1,0,0,0
40305,81112,8111203,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｶﾀﾅﾜｷﾀ,福岡県,筑紫郡那珂川町,片縄北,0,0,1,0,0,0
40305,81112,8111202,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｶﾀﾅﾜﾆｼ,福岡県,筑紫郡那珂川町,片縄西,0,0,1,0,0,0
40305,81112,8111204,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｶﾀﾅﾜﾋｶﾞｼ,福岡県,筑紫郡那珂川町,片縄東,0,0,1,0,0,0
40305,81112,8111223,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｶﾐｶｼﾞﾜﾗ,福岡県,筑紫郡那珂川町,上梶原,0,0,0,0,0,0
40305,81112,8111234,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｺﾞｶﾔﾏ,福岡県,筑紫郡那珂川町,五ケ山,0,0,0,0,0,0
40305,81112,8111252,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｺﾞﾛｳﾏﾙ,福岡県,筑紫郡那珂川町,五郎丸,0,0,1,0,0,0
40305,81112,8111222,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ｼﾓｶｼﾞﾜﾗ,福岡県,筑紫郡那珂川町,下梶原,0,0,0,0,0,0
40305,81112,8111253,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾁｭｳ,福岡県,筑紫郡那珂川町,仲,0,0,1,0,0,0
40305,81112,8111256,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾁｭｳﾏﾙ,福岡県,筑紫郡那珂川町,仲丸,0,0,1,0,0,0
40305,81112,8111254,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾄﾞｳｾﾞﾝ,福岡県,筑紫郡那珂川町,道善,0,0,1,0,0,0
40305,81112,8111213,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾅｶﾊﾞﾙ,福岡県,筑紫郡那珂川町,中原,0,0,1,0,0,0
40305,81112,8111214,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾅｶﾊﾞﾙﾋｶﾞｼ,福岡県,筑紫郡那珂川町,中原東,0,0,1,0,0,0
40305,81112,8111212,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾅｶﾊﾞﾙﾐﾊﾙｶﾞｵｶ,福岡県,筑紫郡那珂川町,中原観晴が丘,0,0,0,0,0,0
40305,81112,8111236,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾅﾒﾘ,福岡県,筑紫郡那珂川町,南面里,0,0,0,0,0,0
40305,81112,8111235,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾅﾙﾀｹ,福岡県,筑紫郡那珂川町,成竹,0,0,0,0,0,0
40305,81112,8111242,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾆｼｸﾞﾏ,福岡県,筑紫郡那珂川町,西隈,0,0,0,0,0,0
40305,81112,8111246,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾆｼﾊﾀ,福岡県,筑紫郡那珂川町,西畑,0,0,0,0,0,0
40305,81112,8111243,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾋｶﾞｼｸﾞﾏ,福岡県,筑紫郡那珂川町,東隈,0,0,1,0,0,0
40305,81112,8111231,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾌﾆｭｳﾄﾞｳ,福岡県,筑紫郡那珂川町,不入道,0,0,0,0,0,0
40305,81112,8111245,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾍﾞｯｼｮ,福岡県,筑紫郡那珂川町,別所,0,0,0,0,0,0
40305,81112,8111251,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾏﾂﾉｷ,福岡県,筑紫郡那珂川町,松木,0,0,1,0,0,0
40305,81112,8111215,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾏﾂﾊﾞﾗ,福岡県,筑紫郡那珂川町,松原,0,0,0,0,0,0
40305,81112,8111216,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾐﾊﾙｶﾞｵｶ,福岡県,筑紫郡那珂川町,観晴が丘,0,0,0,0,0,0
40305,81112,8111244,ﾌｸｵｶｹﾝ,ﾁｸｼｸﾞﾝﾅｶｶﾞﾜﾏﾁ,ﾔﾏﾀﾞ,福岡県,筑紫郡那珂川町,山田,0,0,0,0,0,0
40341,81121,8112100,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡宇美町,以下に掲載がない場合,0,0,0,1,0,0
40341,81121,8112104,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｲﾉ,福岡県,糟屋郡宇美町,井野,0,0,0,0,0,0
40341,81121,8112101,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｳﾐ,福岡県,糟屋郡宇美町,宇美,0,0,1,0,0,0
40341,81121,8112128,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｳﾐﾁｭｳｵｳ,福岡県,糟屋郡宇美町,宇美中央,0,0,1,0,0,0
40341,81121,8112125,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｳﾐﾋｶﾞｼ,福岡県,糟屋郡宇美町,宇美東,0,0,1,0,0,0
40341,81121,8112131,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｷﾌﾈ,福岡県,糟屋郡宇美町,貴船,0,0,1,0,0,0
40341,81121,8112123,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｺｳｼｮｳｼﾞ,福岡県,糟屋郡宇美町,光正寺,0,0,1,0,0,0
40341,81121,8112109,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｻｸﾗﾊﾞﾙ,福岡県,糟屋郡宇美町,桜原,0,0,1,0,0,0
40341,81121,8112105,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｼｵｳｼﾞ,福岡県,糟屋郡宇美町,四王寺,0,0,0,0,0,0
40341,81121,8112103,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｼｵｳｼﾞｻﾞｶ,福岡県,糟屋郡宇美町,四王寺坂,0,0,1,0,0,0
40341,81121,8112127,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｼｮｳｼﾞﾀﾞｹ,福岡県,糟屋郡宇美町,障子岳,0,0,1,0,0,0
40341,81121,8112126,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｼｮｳｼﾞﾀﾞｹﾐﾅﾐ,福岡県,糟屋郡宇美町,障子岳南,0,0,1,0,0,0
40341,81121,8112102,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ｽﾐﾔｷ,福岡県,糟屋郡宇美町,炭焼,0,0,0,0,0,0
40341,81121,8112107,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾄﾋﾞﾀｹ,福岡県,糟屋郡宇美町,とびたけ,0,0,1,0,0,0
40341,81121,8112132,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾊﾙﾀﾞ,福岡県,糟屋郡宇美町,原田,0,0,1,0,0,0
40341,81121,8112106,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾋﾊﾞﾘｶﾞｵｶ,福岡県,糟屋郡宇美町,ひばりが丘,0,0,1,0,0,0
40341,81121,8112121,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾍｲﾜ,福岡県,糟屋郡宇美町,平和,0,0,1,0,0,0
40341,81121,8112122,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾐｮｳｼﾞﾝｻﾞｶ,福岡県,糟屋郡宇美町,明神坂,0,0,1,0,0,0
40341,81121,8112108,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾕﾘｶﾞｵｶ,福岡県,糟屋郡宇美町,ゆりが丘,0,0,1,0,0,0
40341,81121,8112124,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｳﾐﾏﾁ,ﾜｶｸｻ,福岡県,糟屋郡宇美町,若草,0,0,1,0,0,0
40342,81124,8112400,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡篠栗町,以下に掲載がない場合,0,0,0,0,0,0
40342,81124,8112412,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ｵﾄｲﾇ,福岡県,糟屋郡篠栗町,乙犬,0,0,0,0,0,0
40342,81124,8112413,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ｵﾅｶ,福岡県,糟屋郡篠栗町,尾仲,0,0,0,0,0,0
40342,81124,8112402,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ｶﾅｲﾃﾞ,福岡県,糟屋郡篠栗町,金出,0,0,0,0,0,0
40342,81124,8112405,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ｻｻｸﾞﾘ,福岡県,糟屋郡篠栗町,篠栗,0,0,0,0,0,0
40342,81124,8112401,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾀｶﾀ,福岡県,糟屋郡篠栗町,高田,0,0,0,0,0,0
40342,81124,8112416,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾀﾅｶ,福岡県,糟屋郡篠栗町,田中,0,0,0,0,0,0
40342,81124,8112415,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾂﾊﾞｸﾛ,福岡県,糟屋郡篠栗町,津波黒,0,0,0,0,0,0
40342,81124,8112404,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾅｲｼﾞｭｳ,福岡県,糟屋郡篠栗町,内住,0,0,0,0,0,0
40342,81124,8112403,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾊｷﾞﾉｳ,福岡県,糟屋郡篠栗町,萩尾,0,0,0,0,0,0
40342,81124,8112411,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾜｶｽｷﾞ,福岡県,糟屋郡篠栗町,若杉,0,0,0,0,0,0
40342,81124,8112414,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｻｻｸﾞﾘﾏﾁ,ﾜﾀﾞ,福岡県,糟屋郡篠栗町,和田,0,0,0,0,0,0
40343,81122,8112200,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡志免町,以下に掲載がない場合,0,0,0,0,0,0
40343,81122,8112203,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｲｼﾊﾞｼﾀﾞｲ,福岡県,糟屋郡志免町,石橋台,0,0,0,0,0,0
40343,81122,8112209,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｵｳｼﾞ,福岡県,糟屋郡志免町,王子,0,0,1,0,0,0
40343,81122,8112245,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｶﾀﾐﾈ,福岡県,糟屋郡志免町,片峰,0,0,1,0,0,0
40343,81122,8112246,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｶﾀﾐﾈﾁｭｳｵｳ,福岡県,糟屋郡志免町,片峰中央,0,0,1,0,0,0
40343,81122,8112248,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｻｶｾ,福岡県,糟屋郡志免町,坂瀬,0,0,0,0,0,0
40343,81122,8112201,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｻｸﾗｶﾞｵｶ,福岡県,糟屋郡志免町,桜丘,0,0,1,0,0,0
40343,81122,8112202,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｼﾒ,福岡県,糟屋郡志免町,志免,0,0,0,0,0,0
40343,81122,8112244,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｼﾒﾁｭｳｵｳ,福岡県,糟屋郡志免町,志免中央,0,0,1,0,0,0
40343,81122,8112243,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ｼﾒﾋｶﾞｼ,福岡県,糟屋郡志免町,志免東,0,0,1,0,0,0
40343,81122,8112204,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾀﾄﾞﾐ,福岡県,糟屋郡志免町,田富,0,0,0,0,0,0
40343,81122,8112241,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾋｶﾞｼｺｳｴﾝﾀﾞｲ,福岡県,糟屋郡志免町,東公園台,0,0,1,0,0,0
40343,81122,8112205,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾍﾞﾌ,福岡県,糟屋郡志免町,別府,0,0,0,0,0,0
40343,81122,8112233,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾍﾞﾌｷﾀ,福岡県,糟屋郡志免町,別府北,0,0,1,0,0,0
40343,81122,8112232,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾍﾞﾌﾆｼ,福岡県,糟屋郡志免町,別府西,0,0,1,0,0,0
40343,81122,8112231,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾍﾞﾌﾋｶﾞｼ,福岡県,糟屋郡志免町,別府東,0,0,1,0,0,0
40343,81122,8112242,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾏﾂｶﾞｵｶ,福岡県,糟屋郡志免町,松ケ丘,0,0,0,0,0,0
40343,81122,8112206,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾐﾀﾗｲ,福岡県,糟屋郡志免町,御手洗,0,0,1,0,0,0
40343,81122,8112207,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾐﾅﾐｻﾞﾄ,福岡県,糟屋郡志免町,南里,0,0,1,0,0,0
40343,81122,8112247,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾑｶｲｶﾞｵｶ,福岡県,糟屋郡志免町,向ケ丘,0,0,1,0,0,0
40343,81122,8112208,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾒﾏﾁ,ﾖｼﾊﾗ,福岡県,糟屋郡志免町,吉原,0,0,0,0,0,0
40344,81121,8112100,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡須惠町,以下に掲載がない場合,0,0,0,1,0,0
40344,81121,8112112,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｳｴｷ,福岡県,糟屋郡須惠町,植木,0,0,0,0,0,0
40344,81121,8112114,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｶﾐｽｴ,福岡県,糟屋郡須惠町,上須惠,0,0,0,0,0,0
40344,81121,8112115,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｻﾀﾆ,福岡県,糟屋郡須惠町,佐谷,0,0,0,0,0,0
40344,81121,8112111,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｼﾝﾊﾞﾙ,福岡県,糟屋郡須惠町,新原,0,0,0,0,0,0
40344,81121,8112113,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ｽｴ,福岡県,糟屋郡須惠町,須惠,0,0,0,0,0,0
40344,81122,8112221,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｽｴﾏﾁ,ﾀﾋﾞｲｼ,福岡県,糟屋郡須惠町,旅石,0,0,0,0,0,0
40345,81101,8110100,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡新宮町,以下に掲載がない場合,0,0,0,0,0,0
40345,81101,8110118,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｱｲﾉｼﾏ,福岡県,糟屋郡新宮町,相島,0,0,0,0,0,0
40345,81101,8110117,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｶﾐﾉﾌ,福岡県,糟屋郡新宮町,上府,0,0,0,0,0,0
40345,81101,8110113,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｻｸﾗﾔﾏﾃ,福岡県,糟屋郡新宮町,桜山手,0,0,1,0,0,0
40345,81101,8110112,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｼﾓﾉﾌ,福岡県,糟屋郡新宮町,下府,0,0,1,0,0,0
40345,81101,8110115,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ｼﾝｸﾞｳ,福岡県,糟屋郡新宮町,新宮,0,0,0,0,0,0
40345,81101,8110102,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾀﾁﾊﾞﾅｸﾞﾁ,福岡県,糟屋郡新宮町,立花口,0,0,0,0,0,0
40345,81101,8110120,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾁｭｳｵｳｴｷﾏｴ,福岡県,糟屋郡新宮町,中央駅前,0,0,1,0,0,0
40345,81101,8110103,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾊﾅﾀﾁﾊﾞﾅ,福岡県,糟屋郡新宮町,花立花,0,0,1,0,0,0
40345,81101,8110101,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾊﾙｶﾞﾐ,福岡県,糟屋郡新宮町,原上,0,0,0,0,0,0
40345,81101,8110104,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾏﾄﾉ,福岡県,糟屋郡新宮町,的野,0,0,0,0,0,0
40345,81101,8110121,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾐｻｷ,福岡県,糟屋郡新宮町,美咲,0,0,1,0,0,0
40345,81101,8110111,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾐｼﾛ,福岡県,糟屋郡新宮町,三代,0,0,0,0,0,0
40345,81101,8110119,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾐﾄﾞﾘｶﾞﾊﾏ,福岡県,糟屋郡新宮町,緑ケ浜,0,0,1,0,0,0
40345,81101,8110116,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾐﾅﾄ,福岡県,糟屋郡新宮町,湊,0,0,0,0,0,0
40345,81101,8110114,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾐﾅﾄｻﾞｶ,福岡県,糟屋郡新宮町,湊坂,0,0,1,0,0,0
40345,81101,8110122,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾓﾘﾉﾐﾔ,福岡県,糟屋郡新宮町,杜の宮,0,0,1,0,0,0
40345,81101,8110110,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｼﾝｸﾞｳﾏﾁ,ﾕｳｽ,福岡県,糟屋郡新宮町,夜臼,0,0,1,0,0,0
40348,81125,8112500,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝﾋｻﾔﾏﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡久山町,以下に掲載がない場合,0,0,0,0,0,0
40348,81125,8112503,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝﾋｻﾔﾏﾏﾁ,ｲﾉ,福岡県,糟屋郡久山町,猪野,0,0,0,0,0,0
40348,81125,8112501,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝﾋｻﾔﾏﾏﾁ,ｸﾊﾞﾗ,福岡県,糟屋郡久山町,久原,0,0,0,0,0,0
40348,81125,8112502,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝﾋｻﾔﾏﾏﾁ,ﾔﾏﾀﾞ,福岡県,糟屋郡久山町,山田,0,0,0,0,0,0
40349,81123,8112300,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,糟屋郡粕屋町,以下に掲載がない場合,0,0,0,0,0,0
40349,81123,8112306,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｱｴ,福岡県,糟屋郡粕屋町,阿恵,0,0,0,0,0,0
40349,813,8130008,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｳﾁﾊｼ790-1(ﾀﾉﾂﾀﾞﾝﾁ),福岡県,糟屋郡粕屋町,内橋７９０の１（多ノ津団地）,1,0,0,0,0,0
40349,81123,8112308,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｳﾁﾊｼ(ｿﾉﾀ),福岡県,糟屋郡粕屋町,内橋（その他）,1,0,0,0,0,0
40349,81123,8112313,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｴﾂｼﾞ,福岡県,糟屋郡粕屋町,江辻,0,0,0,0,0,0
40349,81123,8112302,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｵｵｸﾏ,福岡県,糟屋郡粕屋町,大隈,0,0,0,0,0,0
40349,81123,8112301,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｶﾐｵｵｸﾏ,福岡県,糟屋郡粕屋町,上大隈,0,0,0,0,0,0
40349,81123,8112309,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｶﾖｲﾁｮｳ,福岡県,糟屋郡粕屋町,駕与丁,0,0,1,0,0,0
40349,81123,8112315,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｺｳﾅｶﾊﾞﾙ,福岡県,糟屋郡粕屋町,甲仲原,0,0,1,0,0,0
40349,81123,8112303,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ｻｶﾄﾞ,福岡県,糟屋郡粕屋町,酒殿,0,0,0,0,0,0
40349,81123,8112311,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾁｮｳｼﾞｬﾊﾞﾙ,福岡県,糟屋郡粕屋町,長者原,0,0,0,0,0,0
40349,81123,8112312,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾄﾊﾞﾗ,福岡県,糟屋郡粕屋町,戸原,0,0,0,0,0,0
40349,81123,8112304,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾅｶﾊﾞﾙ,福岡県,糟屋郡粕屋町,仲原,0,0,0,0,0,0
40349,81123,8112310,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾊﾅｶﾞｳﾗ,福岡県,糟屋郡粕屋町,花ヶ浦,0,0,1,0,0,0
40349,81123,8112307,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾊﾙﾏﾁ,福岡県,糟屋郡粕屋町,原町,0,0,1,0,0,0
40349,81123,8112305,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾕｽ,福岡県,糟屋郡粕屋町,柚須,0,0,0,0,0,0
40349,81123,8112314,ﾌｸｵｶｹﾝ,ｶｽﾔｸﾞﾝｶｽﾔﾏﾁ,ﾜｶﾐﾔ,福岡県,糟屋郡粕屋町,若宮,0,0,1,0,0,0
40383,81142,8114200,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,遠賀郡岡垣町,以下に掲載がない場合,0,0,0,0,0,0
40383,81142,8114215,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｱｻﾋﾀﾞｲ,福岡県,遠賀郡岡垣町,旭台,0,0,1,0,0,0
40383,81142,8114216,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｱｻﾋﾐﾅﾐ,福岡県,遠賀郡岡垣町,旭南,0,0,0,0,0,0
40383,81142,8114203,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｳﾂﾗ,福岡県,遠賀郡岡垣町,内浦,0,0,0,0,0,0
40383,81142,8114231,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｴﾋﾞﾂ,福岡県,遠賀郡岡垣町,海老津,0,0,1,0,0,0
40383,81142,8114236,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｴﾋﾞﾂｴｷﾏｴ,福岡県,遠賀郡岡垣町,海老津駅前,0,0,0,0,0,0
40383,81142,8114238,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｴﾋﾞﾂｴｷﾐﾅﾐ,福岡県,遠賀郡岡垣町,海老津駅南,0,0,1,0,0,0
40383,81142,8114212,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｸﾛﾔﾏ,福岡県,遠賀郡岡垣町,黒山,0,0,0,0,0,0
40383,81142,8114235,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｺｳｴﾝﾄﾞｵﾘ,福岡県,遠賀郡岡垣町,公園通り,0,0,1,0,0,0
40383,81142,8114227,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｺｳﾖｳﾀﾞｲ,福岡県,遠賀郡岡垣町,高陽台,0,0,1,0,0,0
40383,81142,8114217,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｻｸﾗﾀﾞｲ,福岡県,遠賀郡岡垣町,桜台,0,0,0,0,0,0
40383,81142,8114232,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ｼﾞｮｳﾊﾀ,福岡県,遠賀郡岡垣町,上畑,0,0,0,0,0,0
40383,81142,8114234,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾀｶｸﾗ,福岡県,遠賀郡岡垣町,高倉,0,0,0,0,0,0
40383,81142,8114218,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾁｭｳｵｳﾀﾞｲ,福岡県,遠賀郡岡垣町,中央台,0,0,1,0,0,0
40383,81142,8114204,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾃﾉ,福岡県,遠賀郡岡垣町,手野,0,0,0,0,0,0
40383,81142,8114222,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾄｷﾞﾘ,福岡県,遠賀郡岡垣町,戸切,0,0,0,0,0,0
40383,81142,8114224,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾅﾍﾞﾀ,福岡県,遠賀郡岡垣町,鍋田,0,0,1,0,0,0
40383,81142,8114213,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾇｶﾂﾞｶ,福岡県,遠賀郡岡垣町,糠塚,0,0,0,0,0,0
40383,81142,8114233,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾉﾏ,福岡県,遠賀郡岡垣町,野間,0,0,1,0,0,0
40383,81142,8114239,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾉﾏﾐﾅﾐ,福岡県,遠賀郡岡垣町,野間南,0,0,0,0,0,0
40383,81142,8114201,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾊﾂ,福岡県,遠賀郡岡垣町,波津,0,0,0,0,0,0
40383,81142,8114202,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾊﾗ,福岡県,遠賀郡岡垣町,原,0,0,0,0,0,0
40383,81142,8114225,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾋｶﾞｼｺｳﾖｳ,福岡県,遠賀郡岡垣町,東高陽,0,0,1,0,0,0
40383,81142,8114237,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾋｶﾞｼﾀｶｸﾗ,福岡県,遠賀郡岡垣町,東高倉,0,0,1,0,0,0
40383,81142,8114228,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾋｶﾞｼﾏﾂﾊﾞﾗ,福岡県,遠賀郡岡垣町,東松原,0,0,1,0,0,0
40383,81142,8114220,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾋｶﾞｼﾔﾏﾀﾞ,福岡県,遠賀郡岡垣町,東山田,0,0,1,0,0,0
40383,81142,8114214,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾏﾂｶﾞﾀﾞｲ,福岡県,遠賀郡岡垣町,松ケ台,0,0,1,0,0,0
40383,81142,8114226,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾐﾅﾐｺｳﾖｳ,福岡県,遠賀郡岡垣町,南高陽,0,0,0,0,0,0
40383,81142,8114205,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾐﾖｼ,福岡県,遠賀郡岡垣町,三吉,0,0,0,0,0,0
40383,81142,8114221,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾔﾏﾀﾞ,福岡県,遠賀郡岡垣町,山田,0,0,0,0,0,0
40383,81142,8114223,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾔﾏﾀﾞﾄｳｹﾞ,福岡県,遠賀郡岡垣町,山田峠,0,0,1,0,0,0
40383,81142,8114229,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾕﾘｶﾞｵｶ,福岡県,遠賀郡岡垣町,百合ケ丘,0,0,1,0,0,0
40383,81142,8114211,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾖｼｷ,福岡県,遠賀郡岡垣町,吉木,0,0,0,0,0,0
40383,81142,8114242,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾖｼｷﾆｼ,福岡県,遠賀郡岡垣町,吉木西,0,0,1,0,0,0
40383,81142,8114241,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵｶｶﾞｷﾏﾁ,ﾖｼｷﾋｶﾞｼ,福岡県,遠賀郡岡垣町,吉木東,0,0,1,0,0,0
40384,81143,8114300,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,福岡県,遠賀郡遠賀町,以下に掲載がない場合,0,0,0,0,0,0
40384,81143,8114312,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｱｻｷﾞ,福岡県,遠賀郡遠賀町,浅木,0,0,1,0,0,0
40384,81143,8114303,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｲﾏｺｶﾞ,福岡県,遠賀郡遠賀町,今古賀,0,0,0,0,0,0
40384,81143,8114311,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｵｲﾗ,福岡県,遠賀郡遠賀町,老良,0,0,0,0,0,0
40384,81143,8114342,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｵｻﾞｷ,福岡県,遠賀郡遠賀町,尾崎,0,0,0,0,0,0
40384,81143,8114341,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｵﾆﾂﾞ,福岡県,遠賀郡遠賀町,鬼津,0,0,0,0,0,0
40384,81143,8114307,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｵﾝｶﾞｶﾞﾜ,福岡県,遠賀郡遠賀町,遠賀川,0,0,1,0,0,0
40384,81143,8114332,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｶﾐﾍﾞﾌ,福岡県,遠賀郡遠賀町,上別府,0,0,0,0,0,0
40384,81143,8114313,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｷﾓﾘ,福岡県,遠賀郡遠賀町,木守,0,0,0,0,0,0
40384,81143,8114306,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｷｭｳﾃｲ,福岡県,遠賀郡遠賀町,旧停,0,0,1,0,0,0
40384,81143,8114301,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｼﾏﾂﾞ,福岡県,遠賀郡遠賀町,島津,0,0,0,0,0,0
40384,81143,8114333,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ｼﾏﾄﾞ,福岡県,遠賀郡遠賀町,島門,0,0,0,0,0,0
40384,81143,8114343,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾃﾞﾝｴﾝ,福岡県,遠賀郡遠賀町,田園,0,0,1,0,0,0
40384,81143,8114302,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾋﾛﾜﾀﾘ,福岡県,遠賀郡遠賀町,広渡,0,0,1,0,0,0
40384,81143,8114322,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾌﾖｳ,福岡県,遠賀郡遠賀町,芙蓉,0,0,1,0,0,0
40384,81143,8114331,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾍﾞﾌ,福岡県,遠賀郡遠賀町,別府,0,0,0,0,0,0
40384,81143,8114305,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾏﾂﾉﾓﾄ,福岡県,遠賀郡遠賀町,松の本,0,0,1,0,0,0
40384,81143,8114321,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾑｼｮｳﾂﾞ,福岡県,遠賀郡遠賀町,虫生津,0,0,0,0,0,0
40384,81143,8114324,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾑｼｮｳﾂﾞﾐﾅﾐ,福岡県,遠賀郡遠賀町,虫生津南,0,0,0,0,0,0
40384,81143,8114334,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾚﾝｶﾞｸ,福岡県,遠賀郡遠賀町,蓮角,0,0,0,0,0,0
40384,81143,8114323,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾜｶﾊﾞﾀﾞｲ,福岡県,遠賀郡遠賀町,若葉台,0,0,0,0,0,0
40384,81143,8114304,ﾌｸｵｶｹﾝ,ｵﾝｶﾞｸﾞﾝｵﾝｶﾞﾁｮｳ,ﾜｶﾏﾂ,福岡県,遠賀郡遠賀町,若松,0,0,0,0,0,0
42209,817,8170000,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,長崎県,対馬市,以下に掲載がない場合,0,0,0,0,0,0
42209,817,8170034,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｱｶﾞﾐ,長崎県,対馬市,厳原町安神,0,0,0,0,0,0
42209,81701,8170153,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｱｻﾞﾓ,長崎県,対馬市,厳原町浅藻,0,0,0,0,0,0
42209,81702,8170241,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｱﾚ,長崎県,対馬市,厳原町阿連,0,0,0,0,0,0
42209,817,8170021,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｲﾏﾔｼｷ,長崎県,対馬市,厳原町今屋敷,0,0,0,0,0,0
42209,81701,8170157,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｳﾁﾔﾏ,長崎県,対馬市,厳原町内山,0,0,0,0,0,0
42209,817,8170033,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｵｳﾗ,長崎県,対馬市,厳原町尾浦,0,0,0,0,0,0
42209,817,8170024,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｵｵﾃﾊﾞｼ,長崎県,対馬市,厳原町大手橋,0,0,0,0,0,0
42209,81702,8170243,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｶｼﾈ,長崎県,対馬市,厳原町樫根,0,0,0,0,0,0
42209,817,8170006,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｷﾀｻﾞﾄ,長崎県,対馬市,厳原町北里,0,0,0,0,0,0
42209,817,8170032,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｸﾀ,長崎県,対馬市,厳原町久田,0,0,0,0,0,0
42209,817,8170031,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｸﾀﾐﾁ,長崎県,対馬市,厳原町久田道,0,0,0,0,0,0
42209,81702,8170245,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｸﾈｲﾅｶ,長崎県,対馬市,厳原町久根田舎,0,0,0,0,0,0
42209,81702,8170244,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｸﾈﾊﾏ,長崎県,対馬市,厳原町久根浜,0,0,0,0,0,0
42209,817,8170035,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｸﾜ,長崎県,対馬市,厳原町久和,0,0,0,0,0,0
42209,81702,8170246,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｺｳﾂｷ,長崎県,対馬市,厳原町上槻,0,0,0,0,0,0
42209,817,8170001,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｺｳﾗ,長崎県,対馬市,厳原町小浦,0,0,0,0,0,0
42209,817,8170022,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｺｸﾌﾞ,長崎県,対馬市,厳原町国分,0,0,0,0,0,0
42209,81702,8170248,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｺﾓﾀﾞ,長崎県,対馬市,厳原町小茂田,0,0,0,0,0,0
42209,817,8170005,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｻｼﾞｷﾊﾞﾗ,長崎県,対馬市,厳原町桟原,0,0,0,0,0,0
42209,81701,8170156,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｻｽｾ,長崎県,対馬市,厳原町佐須瀬,0,0,0,0,0,0
42209,81702,8170247,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｼｲﾈ,長崎県,対馬市,厳原町椎根,0,0,0,0,0,0
42209,81702,8170242,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁｼﾓﾊﾞﾙ,長崎県,対馬市,厳原町下原,0,0,0,0,0,0
42209,817,8170023,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾀﾌﾞﾁ,長崎県,対馬市,厳原町田渕,0,0,0,0,0,0
42209,81701,8170154,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾂﾂ,長崎県,対馬市,厳原町豆酘,0,0,0,0,0,0
42209,81701,8170155,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾂﾂｾ,長崎県,対馬市,厳原町豆酘瀬,0,0,0,0,0,0
42209,81701,8170152,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾂﾂﾅｲｲﾝ,長崎県,対馬市,厳原町豆酘内院,0,0,0,0,0,0
42209,817,8170014,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾃﾝﾄﾞｳｼｹﾞ,長崎県,対馬市,厳原町天道茂,0,0,0,0,0,0
42209,817,8170013,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾅｶﾑﾗ,長崎県,対馬市,厳原町中村,0,0,0,0,0,0
42209,817,8170003,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾅﾑﾛ,長崎県,対馬市,厳原町南室,0,0,0,0,0,0
42209,817,8170015,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾆｼｻﾞﾄ,長崎県,対馬市,厳原町西里,0,0,0,0,0,0
42209,817,8170016,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾋｶﾞｼｻﾞﾄ,長崎県,対馬市,厳原町東里,0,0,0,0,0,0
42209,817,8170012,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾋﾖｼ,長崎県,対馬市,厳原町日吉,0,0,0,0,0,0
42209,817,8170002,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾏｶﾞﾘ,長崎県,対馬市,厳原町曲,0,0,0,0,0,0
42209,817,8170011,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾐﾔﾀﾞﾆ,長崎県,対馬市,厳原町宮谷,0,0,0,0,0,0
42209,81701,8170151,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｲﾂﾞﾊﾗﾏﾁﾖﾗﾅｲｲﾝ,長崎県,対馬市,厳原町与良内院,0,0,0,0,0,0
42209,81715,8171532,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｲﾅ,長崎県,対馬市,上県町伊奈,0,0,0,0,0,0
42209,81715,8171524,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｲﾇｶﾞｳﾗ,長崎県,対馬市,上県町犬ケ浦,0,0,0,0,0,0
42209,81715,8171513,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｳﾅﾂﾗ,長崎県,対馬市,上県町女連,0,0,0,0,0,0
42209,81715,8171521,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｶｲﾄﾞｺﾛ,長崎県,対馬市,上県町飼所,0,0,0,0,0,0
42209,81715,8171522,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｶｼﾀｷ,長崎県,対馬市,上県町樫滝,0,0,0,0,0,0
42209,81715,8171512,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｸﾊﾞﾗ,長崎県,対馬市,上県町久原,0,0,0,0,0,0
42209,81715,8171531,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｺｼﾀｶ,長崎県,対馬市,上県町越高,0,0,0,0,0,0
42209,81716,8171603,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｻｺﾞ,長崎県,対馬市,上県町佐護,0,0,0,0,0,0
42209,81716,8171602,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｻｽﾅ,長崎県,対馬市,上県町佐須奈,0,0,0,0,0,0
42209,81715,8171511,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｼｼﾐ,長崎県,対馬市,上県町鹿見,0,0,0,0,0,0
42209,81715,8171533,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｼﾀﾙ,長崎県,対馬市,上県町志多留,0,0,0,0,0,0
42209,81715,8171523,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁｾﾀ,長崎県,対馬市,上県町瀬田,0,0,0,0,0,0
42209,81716,8171601,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁﾆｼﾂﾔ,長崎県,対馬市,上県町西津屋,0,0,0,0,0,0
42209,81715,8171525,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐｱｶﾞﾀﾏﾁﾐｿ,長崎県,対馬市,上県町御園,0,0,0,0,0,0
42209,81722,8172243,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｱｼﾐ,長崎県,対馬市,上対馬町芦見,0,0,0,0,0,0
42209,81717,8171704,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｱｼﾞﾛ,長崎県,対馬市,上対馬町網代,0,0,0,0,0,0
42209,81717,8171725,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｲｽﾞﾐ,長崎県,対馬市,上対馬町泉,0,0,0,0,0,0
42209,81717,8171722,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｵｵｳﾗ,長崎県,対馬市,上対馬町大浦,0,0,0,0,0,0
42209,81717,8171715,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｵｵﾏｽ,長崎県,対馬市,上対馬町大増,0,0,0,0,0,0
42209,81722,8172241,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｵｼｶ,長崎県,対馬市,上対馬町小鹿,0,0,0,0,0,0
42209,81717,8171721,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｶﾜﾁ,長崎県,対馬市,上対馬町河内,0,0,0,0,0,0
42209,81723,8172331,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｷﾝ,長崎県,対馬市,上対馬町琴,0,0,0,0,0,0
42209,81717,8171714,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｸｽ,長崎県,対馬市,上対馬町玖須,0,0,0,0,0,0
42209,81723,8172332,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｺﾞﾈｵ,長崎県,対馬市,上対馬町五根緒,0,0,0,0,0,0
42209,81723,8172333,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁｼｭｳｼ,長崎県,対馬市,上対馬町舟志,0,0,0,0,0,0
42209,81717,8171712,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾄｳｼﾞｭｳｼ,長崎県,対馬市,上対馬町唐舟志,0,0,0,0,0,0
42209,81717,8171711,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾄﾐｶﾞｳﾗ,長崎県,対馬市,上対馬町冨浦,0,0,0,0,0,0
42209,81717,8171724,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾄﾖ,長崎県,対馬市,上対馬町豊,0,0,0,0,0,0
42209,81717,8171703,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾆｼﾄﾞﾏﾘ,長崎県,対馬市,上対馬町西泊,0,0,0,0,0,0
42209,81717,8171713,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾊﾏｸﾞｽ,長崎県,対馬市,上対馬町浜久須,0,0,0,0,0,0
42209,81717,8171701,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾋﾀｶﾂ,長崎県,対馬市,上対馬町比田勝,0,0,0,0,0,0
42209,81722,8172242,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾋﾄｴ,長崎県,対馬市,上対馬町一重,0,0,0,0,0,0
42209,81717,8171702,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾌﾙｻﾄ,長崎県,対馬市,上対馬町古里,0,0,0,0,0,0
42209,81717,8171723,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ｶﾐﾂｼﾏﾏﾁﾜﾆｳﾗ,長崎県,対馬市,上対馬町鰐浦,0,0,0,0,0,0
42209,81712,8171231,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｲﾄｾ,長崎県,対馬市,豊玉町糸瀬,0,0,0,0,0,0
42209,81712,8171253,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｳﾑｷﾞ,長崎県,対馬市,豊玉町卯麦,0,0,0,0,0,0
42209,81712,8171252,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｵｵﾂﾅ,長崎県,対馬市,豊玉町大綱,0,0,0,0,0,0
42209,81712,8171241,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｶｲｸﾞﾁ,長崎県,対馬市,豊玉町貝口,0,0,0,0,0,0
42209,81712,8171233,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｶｲﾌﾅ,長崎県,対馬市,豊玉町貝鮒,0,0,0,0,0,0
42209,81712,8171245,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｶﾗｽ,長崎県,対馬市,豊玉町唐洲,0,0,0,0,0,0
42209,81712,8171256,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｺﾂﾞﾅ,長崎県,対馬市,豊玉町小綱,0,0,0,0,0,0
42209,81712,8171232,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｻｶﾞ,長崎県,対馬市,豊玉町嵯峨,0,0,0,0,0,0
42209,81712,8171234,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｻｼｶ,長崎県,対馬市,豊玉町佐志賀,0,0,0,0,0,0
42209,81712,8171254,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｻﾎ,長崎県,対馬市,豊玉町佐保,0,0,0,0,0,0
42209,81712,8171255,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｼﾀﾉｳﾗ,長崎県,対馬市,豊玉町志多浦,0,0,0,0,0,0
42209,81712,8171212,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁｿ,長崎県,対馬市,豊玉町曽,0,0,0,0,0,0
42209,81712,8171251,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾀ,長崎県,対馬市,豊玉町田,0,0,0,0,0,0
42209,81712,8171213,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾁﾛﾓ,長崎県,対馬市,豊玉町千尋藻,0,0,0,0,0,0
42209,81712,8171201,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾆｲ,長崎県,対馬市,豊玉町仁位,0,0,0,0,0,0
42209,81712,8171246,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾏﾜﾘ,長崎県,対馬市,豊玉町廻,0,0,0,0,0,0
42209,81712,8171257,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾒｲ,長崎県,対馬市,豊玉町銘,0,0,0,0,0,0
42209,81712,8171214,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾔﾘｶﾜ,長崎県,対馬市,豊玉町鑓川,0,0,0,0,0,0
42209,81712,8171223,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾖｺｳﾗ,長崎県,対馬市,豊玉町横浦,0,0,0,0,0,0
42209,81712,8171202,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾄﾖﾀﾏﾏﾁﾜｲﾀ,長崎県,対馬市,豊玉町和板,0,0,0,0,0,0
42209,81711,8171106,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｲﾇﾎﾞｴ,長崎県,対馬市,美津島町犬吠,0,0,0,0,0,0
42209,81704,8170432,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｲﾏｻﾞﾄ,長崎県,対馬市,美津島町今里,0,0,0,0,0,0
42209,81703,8170323,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｵｵﾌﾅｺｼ,長崎県,対馬市,美津島町大船越,0,0,0,0,0,0
42209,81703,8170325,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｵｶﾀ,長崎県,対馬市,美津島町緒方,0,0,0,0,0,0
42209,81704,8170431,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｵｻｷ,長崎県,対馬市,美津島町尾崎,0,0,0,0,0,0
42209,81711,8171105,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｵﾔﾏ,長崎県,対馬市,美津島町大山,0,0,0,0,0,0
42209,81704,8170433,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｶｼ,長崎県,対馬市,美津島町加志,0,0,0,0,0,0
42209,81711,8171107,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｶﾓｲｾ,長崎県,対馬市,美津島町鴨居瀬,0,0,0,0,0,0
42209,81711,8171103,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｶﾞﾔ,長崎県,対馬市,美津島町賀谷,0,0,0,0,0,0
42209,81703,8170324,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｸｽﾎﾞ,長崎県,対馬市,美津島町久須保,0,0,0,0,0,0
42209,81705,8170512,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｸﾛｾ,長崎県,対馬市,美津島町黒瀬,0,0,0,0,0,0
42209,81703,8170322,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｹﾁ,長崎県,対馬市,美津島町鶏知,0,0,0,0,0,0
42209,81711,8171101,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｺﾌﾅｺｼ,長崎県,対馬市,美津島町小船越,0,0,0,0,0,0
42209,81705,8170514,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｼﾏﾔﾏ,長崎県,対馬市,美津島町島山,0,0,0,0,0,0
42209,81703,8170321,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁｽﾓ,長崎県,対馬市,美津島町洲藻,0,0,0,0,0,0
42209,81705,8170511,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾀｹｼｷ,長崎県,対馬市,美津島町竹敷,0,0,0,0,0,0
42209,81703,8170326,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾈｵ,長崎県,対馬市,美津島町根緒,0,0,0,0,0,0
42209,81711,8171104,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾉﾌﾞ,長崎県,対馬市,美津島町濃部,0,0,0,0,0,0
42209,81705,8170513,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾋﾙｶﾞｳﾗ,長崎県,対馬市,美津島町昼ケ浦,0,0,0,0,0,0
42209,81704,8170434,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾌｸｻﾞｷ,長崎県,対馬市,美津島町吹崎,0,0,0,0,0,0
42209,81704,8170435,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾐｶﾀ,長崎県,対馬市,美津島町箕形,0,0,0,0,0,0
42209,81711,8171102,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾂｼﾏﾏﾁﾖｼｶﾞｳﾗ,長崎県,対馬市,美津島町芦浦,0,0,0,0,0,0
42209,81713,8171304,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｵｳﾐ,長崎県,対馬市,峰町青海,0,0,0,0,0,0
42209,81713,8171307,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｶｻ,長崎県,対馬市,峰町賀佐,0,0,0,0,0,0
42209,81713,8171302,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｶﾘｵ,長崎県,対馬市,峰町狩尾,0,0,0,0,0,0
42209,81713,8171303,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｷｻｶ,長崎県,対馬市,峰町木坂,0,0,0,0,0,0
42209,81714,8171411,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｸｼ,長崎県,対馬市,峰町櫛,0,0,0,0,0,0
42209,81714,8171412,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｻｶ,長崎県,対馬市,峰町佐賀,0,0,0,0,0,0
42209,81714,8171413,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁｼﾀｶ,長崎県,対馬市,峰町志多賀,0,0,0,0,0,0
42209,81713,8171305,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁﾂﾔﾅｷﾞ,長崎県,対馬市,峰町津柳,0,0,0,0,0,0
42209,81713,8171301,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁﾐﾈ,長崎県,対馬市,峰町三根,0,0,0,0,0,0
42209,81713,8171306,ﾅｶﾞｻｷｹﾝ,ﾂｼﾏｼ,ﾐﾈﾏﾁﾖｼﾀﾞ,長崎県,対馬市,峰町吉田,0,0,0,0,0,0
42210,81151,8115100,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｶﾆｹｲｻｲｶﾞﾅｲﾊﾞｱｲ,長崎県,壱岐市,以下に掲載がない場合,0,0,0,0,0,0
42210,81153,8115301,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｱｼﾍﾞｳﾗ,長崎県,壱岐市,芦辺町芦辺浦,0,0,0,0,0,0
42210,81157,8115733,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｺｸﾌﾞｶﾜﾑｶｴﾌﾚ,長崎県,壱岐市,芦辺町国分川迎触,0,0,0,0,0,0
42210,81157,8115731,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｺｸﾌﾞﾄｳﾀﾞﾌﾚ,長崎県,壱岐市,芦辺町国分当田触,0,0,0,0,0,0
42210,81157,8115732,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｺｸﾌﾞﾋｶﾞｼﾌﾚ,長崎県,壱岐市,芦辺町国分東触,0,0,0,0,0,0
42210,81157,8115734,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｺｸﾌﾞﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町国分本村触,0,0,0,0,0,0
42210,81157,8115744,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｽﾐﾖｼｳｼﾛﾌﾚ,長崎県,壱岐市,芦辺町住吉後触,0,0,0,0,0,0
42210,81157,8115742,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｽﾐﾖｼﾋｶﾞｼﾌﾚ,長崎県,壱岐市,芦辺町住吉東触,0,0,0,0,0,0
42210,81157,8115743,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｽﾐﾖｼﾏｴﾌﾚ,長崎県,壱岐市,芦辺町住吉前触,0,0,0,0,0,0
42210,81157,8115741,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｽﾐﾖｼﾔﾏﾉﾌﾞﾌﾚ,長崎県,壱岐市,芦辺町住吉山信触,0,0,0,0,0,0
42210,81154,8115461,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳｾﾄｳﾗ,長崎県,壱岐市,芦辺町瀬戸浦,0,0,0,0,0,0
42210,81157,8115751,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾅｶﾉｺﾞｳﾅｶﾌﾚ,長崎県,壱岐市,芦辺町中野郷仲触,0,0,0,0,0,0
42210,81157,8115757,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾅｶﾉｺﾞｳﾆｼﾌﾚ,長崎県,壱岐市,芦辺町中野郷西触,0,0,0,0,0,0
42210,81157,8115752,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾅｶﾉｺﾞｳﾋｶﾞｼﾌﾚ,長崎県,壱岐市,芦辺町中野郷東触,0,0,0,0,0,0
42210,81157,8115756,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾅｶﾉｺﾞｳﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町中野郷本村触,0,0,0,0,0,0
42210,81154,8115467,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷｴｽﾐﾌﾚ,長崎県,壱岐市,芦辺町箱崎江角触,0,0,0,0,0,0
42210,81154,8115465,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷｸｷﾞﾉｵﾌﾚ,長崎県,壱岐市,芦辺町箱崎釘ノ尾触,0,0,0,0,0,0
42210,81154,8115462,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷﾀｲｿｳﾌﾚ,長崎県,壱岐市,芦辺町箱崎大左右触,0,0,0,0,0,0
42210,81154,8115464,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷﾀﾆｴﾌﾚ,長崎県,壱岐市,芦辺町箱崎谷江触,0,0,0,0,0,0
42210,81154,8115463,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷﾅｶﾔﾏﾌﾚ,長崎県,壱岐市,芦辺町箱崎中山触,0,0,0,0,0,0
42210,81154,8115466,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町箱崎本村触,0,0,0,0,0,0
42210,81154,8115468,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾊｺｻﾞｷﾓﾛﾂﾌﾚ,長崎県,壱岐市,芦辺町箱崎諸津触,0,0,0,0,0,0
42210,81153,8115321,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴｻｶｴﾌﾚ,長崎県,壱岐市,芦辺町深江栄触,0,0,0,0,0,0
42210,81153,8115322,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴﾂﾙｷﾌﾚ,長崎県,壱岐市,芦辺町深江鶴亀触,0,0,0,0,0,0
42210,81153,8115324,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴﾋｶﾞｼﾌﾚ,長崎県,壱岐市,芦辺町深江東触,0,0,0,0,0,0
42210,81153,8115323,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴﾋﾗﾌﾚ,長崎県,壱岐市,芦辺町深江平触,0,0,0,0,0,0
42210,81153,8115326,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町深江本村触,0,0,0,0,0,0
42210,81153,8115325,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾌｶｴﾐﾅﾐﾌﾚ,長崎県,壱岐市,芦辺町深江南触,0,0,0,0,0,0
42210,81153,8115316,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼｵｵｲｼﾌﾚ,長崎県,壱岐市,芦辺町諸吉大石触,0,0,0,0,0,0
42210,81153,8115313,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼﾅｶﾌﾚ,長崎県,壱岐市,芦辺町諸吉仲触,0,0,0,0,0,0
42210,81153,8115314,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼﾋｶﾞｼﾌﾚ,長崎県,壱岐市,芦辺町諸吉東触,0,0,0,0,0,0
42210,81153,8115315,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼﾌﾀﾏﾀﾌﾚ,長崎県,壱岐市,芦辺町諸吉二亦触,0,0,0,0,0,0
42210,81153,8115311,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町諸吉本村触,0,0,0,0,0,0
42210,81153,8115312,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾓﾛﾖｼﾐﾅﾐﾌﾚ,長崎県,壱岐市,芦辺町諸吉南触,0,0,0,0,0,0
42210,81157,8115755,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾕﾀｹｺｳﾌﾚ,長崎県,壱岐市,芦辺町湯岳興触,0,0,0,0,0,0
42210,81157,8115754,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾕﾀｹｺﾝｻﾞｶﾌﾚ,長崎県,壱岐市,芦辺町湯岳今坂触,0,0,0,0,0,0
42210,81157,8115753,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｱｼﾍﾞﾁｮｳﾕﾀｹﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,芦辺町湯岳本村触,0,0,0,0,0,0
42210,81152,8115222,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲｹﾀﾞﾅｶﾌﾚ,長崎県,壱岐市,石田町池田仲触,0,0,0,0,0,0
42210,81152,8115224,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲｹﾀﾞﾆｼﾌﾚ,長崎県,壱岐市,石田町池田西触,0,0,0,0,0,0
42210,81152,8115221,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲｹﾀﾞﾋｶﾞｼﾌﾚ,長崎県,壱岐市,石田町池田東触,0,0,0,0,0,0
42210,81152,8115215,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲｼﾀﾞﾆｼﾌﾚ,長崎県,壱岐市,石田町石田西触,0,0,0,0,0,0
42210,81152,8115211,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲｼﾀﾞﾋｶﾞｼﾌﾚ,長崎県,壱岐市,石田町石田東触,0,0,0,0,0,0
42210,81152,8115214,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｲﾝﾄﾞｵｼﾞｳﾗ,長崎県,壱岐市,石田町印通寺浦,0,0,0,0,0,0
42210,81152,8115223,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳｸｷﾌﾚ,長崎県,壱岐市,石田町久喜触,0,0,0,0,0,0
42210,81152,8115202,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾂﾂｷﾅｶﾌﾚ,長崎県,壱岐市,石田町筒城仲触,0,0,0,0,0,0
42210,81152,8115204,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾂﾂｷﾆｼﾌﾚ,長崎県,壱岐市,石田町筒城西触,0,0,0,0,0,0
42210,81152,8115203,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾂﾂｷﾋｶﾞｼﾌﾚ,長崎県,壱岐市,石田町筒城東触,0,0,0,0,0,0
42210,81152,8115212,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,石田町本村触,0,0,0,0,0,0
42210,81152,8115213,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾐﾅﾐﾌﾚ,長崎県,壱岐市,石田町南触,0,0,0,0,0,0
42210,81152,8115201,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾔﾏｻｷﾌﾚ,長崎県,壱岐市,石田町山崎触,0,0,0,0,0,0
42210,81152,8115226,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾕﾀｹｲﾃﾖｼﾌﾚ,長崎県,壱岐市,石田町湯岳射手吉触,0,0,0,0,0,0
42210,81152,8115225,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｲｼﾀﾞﾁｮｳﾕﾀｹｺｳﾌﾚ,長崎県,壱岐市,石田町湯岳興触,0,0,0,0,0,0
42210,81155,8115543,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｳﾜﾊﾞﾌﾚ,長崎県,壱岐市,勝本町上場触,0,0,0,0,0,0
42210,81155,8115532,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｵｵｸﾎﾞﾌﾚ,長崎県,壱岐市,勝本町大久保触,0,0,0,0,0,0
42210,81155,8115523,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｶﾀﾔﾏﾌﾚ,長崎県,壱岐市,勝本町片山触,0,0,0,0,0,0
42210,81155,8115501,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｶﾂﾓﾄｳﾗ,長崎県,壱岐市,勝本町勝本浦,0,0,0,0,0,0
42210,81155,8115513,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｷﾀﾌﾚ,長崎県,壱岐市,勝本町北触,0,0,0,0,0,0
42210,81155,8115521,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｻｲﾄﾞﾌﾚ,長崎県,壱岐市,勝本町西戸触,0,0,0,0,0,0
42210,81155,8115531,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｻｶﾓﾄﾌﾚ,長崎県,壱岐市,勝本町坂本触,0,0,0,0,0,0
42210,81155,8115533,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｼﾝｼﾞｮｳﾆｼﾌﾚ,長崎県,壱岐市,勝本町新城西触,0,0,0,0,0,0
42210,81155,8115522,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳｼﾝｼﾞｮｳﾋｶﾞｼﾌﾚ,長崎県,壱岐市,勝本町新城東触,0,0,0,0,0,0
42210,81155,8115554,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾀﾃｲｼﾅｶﾌﾚ,長崎県,壱岐市,勝本町立石仲触,0,0,0,0,0,0
42210,81155,8115556,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾀﾃｲｼﾆｼﾌﾚ,長崎県,壱岐市,勝本町立石西触,0,0,0,0,0,0
42210,81155,8115553,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾀﾃｲｼﾋｶﾞｼﾌﾚ,長崎県,壱岐市,勝本町立石東触,0,0,0,0,0,0
42210,81155,8115555,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾀﾃｲｼﾐﾅﾐﾌﾚ,長崎県,壱岐市,勝本町立石南触,0,0,0,0,0,0
42210,81155,8115511,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾅｶﾌﾚ,長崎県,壱岐市,勝本町仲触,0,0,0,0,0,0
42210,81155,8115512,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾋｶﾞｼﾌﾚ,長崎県,壱岐市,勝本町東触,0,0,0,0,0,0
42210,81155,8115544,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾌｹﾌﾚ,長崎県,壱岐市,勝本町布気触,0,0,0,0,0,0
42210,81155,8115546,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾎﾝｸﾞｳﾅｶﾌﾚ,長崎県,壱岐市,勝本町本宮仲触,0,0,0,0,0,0
42210,81155,8115541,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾎﾝｸﾞｳﾆｼﾌﾚ,長崎県,壱岐市,勝本町本宮西触,0,0,0,0,0,0
42210,81155,8115542,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾎﾝｸﾞｳﾋｶﾞｼﾌﾚ,長崎県,壱岐市,勝本町本宮東触,0,0,0,0,0,0
42210,81155,8115545,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾎﾝｸﾞｳﾐﾅﾐﾌﾚ,長崎県,壱岐市,勝本町本宮南触,0,0,0,0,0,0
42210,81155,8115551,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾕﾉﾓﾄｳﾗ,長崎県,壱岐市,勝本町湯本浦,0,0,0,0,0,0
42210,81155,8115552,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｶﾂﾓﾄﾁｮｳﾕﾘﾊﾀﾌﾚ,長崎県,壱岐市,勝本町百合畑触,0,0,0,0,0,0
42210,81151,8115107,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｱﾘﾔｽﾌﾚ,長崎県,壱岐市,郷ノ浦町有安触,0,0,0,0,0,0
42210,81151,8115113,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｳｼｶﾀﾌﾚ,長崎県,壱岐市,郷ノ浦町牛方触,0,0,0,0,0,0
42210,81151,8115112,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｵｵｳﾗﾌﾚ,長崎県,壱岐市,郷ノ浦町大浦触,0,0,0,0,0,0
42210,81151,8115161,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｵｵｼﾏ,長崎県,壱岐市,郷ノ浦町大島,0,0,0,0,0,0
42210,81151,8115136,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｶﾀﾊﾞﾙﾌﾚ,長崎県,壱岐市,郷ノ浦町片原触,0,0,0,0,0,0
42210,81151,8115115,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｷﾀﾞﾌﾚ,長崎県,壱岐市,郷ノ浦町木田触,0,0,0,0,0,0
42210,81151,8115123,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｸｷﾞﾔﾏﾌﾚ,長崎県,壱岐市,郷ノ浦町釘山触,0,0,0,0,0,0
42210,81151,8115135,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｺﾞｳﾉｳﾗ,長崎県,壱岐市,郷ノ浦町郷ノ浦,0,0,0,0,0,0
42210,81151,8115105,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｺﾏｷﾆｼﾌﾚ,長崎県,壱岐市,郷ノ浦町小牧西触,0,0,0,0,0,0
42210,81151,8115106,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｺﾏｷﾋｶﾞｼﾌﾚ,長崎県,壱岐市,郷ノ浦町小牧東触,0,0,0,0,0,0
42210,81151,8115104,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｻﾄﾌﾚ,長崎県,壱岐市,郷ノ浦町里触,0,0,0,0,0,0
42210,81151,8115125,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｼﾊﾗﾆｼﾌﾚ,長崎県,壱岐市,郷ノ浦町志原西触,0,0,0,0,0,0
42210,81151,8115124,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｼﾊﾗﾐﾅﾐﾌﾚ,長崎県,壱岐市,郷ノ浦町志原南触,0,0,0,0,0,0
42210,81151,8115134,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｼｮｳﾌﾚ,長崎県,壱岐市,郷ノ浦町庄触,0,0,0,0,0,0
42210,81151,8115103,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳｼﾝﾃﾞﾝﾌﾚ,長崎県,壱岐市,郷ノ浦町新田触,0,0,0,0,0,0
42210,81151,8115122,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾀｲﾊﾞﾙﾌﾚ,長崎県,壱岐市,郷ノ浦町大原触,0,0,0,0,0,0
42210,81151,8115117,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾀﾅｶﾌﾚ,長崎県,壱岐市,郷ノ浦町田中触,0,0,0,0,0,0
42210,81151,8115142,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾂﾎﾞﾌﾚ,長崎県,壱岐市,郷ノ浦町坪触,0,0,0,0,0,0
42210,81151,8115162,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾅｶﾞｼﾏ,長崎県,壱岐市,郷ノ浦町長島,0,0,0,0,0,0
42210,81151,8115131,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾅｶﾞﾀﾌﾚ,長崎県,壱岐市,郷ノ浦町永田触,0,0,0,0,0,0
42210,81151,8115102,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾅｶﾞﾐﾈﾋｶﾞｼﾌﾚ,長崎県,壱岐市,郷ノ浦町長峰東触,0,0,0,0,0,0
42210,81151,8115101,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾅｶﾞﾐﾈﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,郷ノ浦町長峰本村触,0,0,0,0,0,0
42210,81151,8115143,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾊﾂﾔﾏﾆｼﾌﾚ,長崎県,壱岐市,郷ノ浦町初山西触,0,0,0,0,0,0
42210,81151,8115144,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾊﾂﾔﾏﾋｶﾞｼﾌﾚ,長崎県,壱岐市,郷ノ浦町初山東触,0,0,0,0,0,0
42210,81151,8115163,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾊﾙｼﾏ,長崎県,壱岐市,郷ノ浦町原島,0,0,0,0,0,0
42210,81151,8115111,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾊﾝｾｲﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,郷ノ浦町半城本村触,0,0,0,0,0,0
42210,81151,8115132,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾋｶﾞｼﾌﾚ,長崎県,壱岐市,郷ノ浦町東触,0,0,0,0,0,0
42210,81151,8115121,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾋﾛｳﾄﾌﾚ,長崎県,壱岐市,郷ノ浦町平人触,0,0,0,0,0,0
42210,81151,8115133,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,郷ノ浦町本村触,0,0,0,0,0,0
42210,81151,8115155,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾑｷﾞﾔﾌﾚ,長崎県,壱岐市,郷ノ浦町麦谷触,0,0,0,0,0,0
42210,81151,8115116,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾓﾉﾍﾞﾎﾝﾑﾗﾌﾚ,長崎県,壱岐市,郷ノ浦町物部本村触,0,0,0,0,0,0
42210,81151,8115114,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾔﾅｷﾞﾀﾞﾌﾚ,長崎県,壱岐市,郷ノ浦町柳田触,0,0,0,0,0,0
42210,81151,8115141,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾜｶﾏﾂﾌﾚ,長崎県,壱岐市,郷ノ浦町若松触,0,0,0,0,0,0
42210,81151,8115151,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾜﾀﾗｳﾗ,長崎県,壱岐市,郷ノ浦町渡良浦,0,0,0,0,0,0
42210,81151,8115153,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾜﾀﾗﾆｼﾌﾚ,長崎県,壱岐市,郷ノ浦町渡良西触,0,0,0,0,0,0
42210,81151,8115154,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾜﾀﾗﾋｶﾞｼﾌﾚ,長崎県,壱岐市,郷ノ浦町渡良東触,0,0,0,0,0,0
42210,81151,8115152,ﾅｶﾞｻｷｹﾝ,ｲｷｼ,ｺﾞｳﾉｳﾗﾁｮｳﾜﾀﾗﾐﾅﾐﾌﾚ,長崎県,壱岐市,郷ノ浦町渡良南触,0,0,0,0,0,0 | [
"[email protected]"
] | |
70425764af9a4af7b00d9a87514deba1e28c8fda | 722af8e6fa81960a6119c2e45ba6795771bad595 | /agents/migrations/0043_veri.py | a9fbb71d81b2b140fcb68e8c4a02de3f0a744641 | [] | no_license | witty-technologies-empowerment/pmc | 85d21fa3c360d40adeec7ca93792b5bc68c258e5 | 201bee60197240eec911637e136cf14bc5814eec | refs/heads/master | 2023-05-27T12:37:48.894933 | 2021-06-13T04:34:57 | 2021-06-13T04:34:57 | 376,439,472 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 790 | py | # Generated by Django 2.2.6 on 2020-02-04 15:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('agents', '0042_auto_20191022_0303'),
]
operations = [
migrations.CreateModel(
name='Veri',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('user', models.CharField(max_length=20)),
('rcode', models.CharField(max_length=100)),
('count', models.CharField(default=1, max_length=2)),
('created', models.DateTimeField(auto_now_add=True)),
],
options={
'ordering': ['-created'],
},
),
]
| [
"[email protected]"
] | |
6bc8e6bda70fb29b075f4f3c8c40b9a6b2656fcf | 9c6e63eb1796bbf4c37d93fca941fb67b4cd4741 | /trunk/scarlett/app.py | 7f7179015d2a9cefbdbe4557f2fd080029521298 | [] | no_license | BGCX261/zizw-svn-to-git | ffc6636d8e0d91b24f124ba3d16c61af10d7441c | c8d068af7a36396ce707dc035b15330c77b02f2a | refs/heads/master | 2016-09-05T13:11:22.053860 | 2015-08-25T15:51:45 | 2015-08-25T15:51:45 | 41,585,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,466 | py |
import logging
import webob
import wsgiref.handlers
import simplejson.encoder
import simplejson.decoder
from google.appengine.ext import db
from google.appengine.api import users
from scarlett import model
from scarlett import utils
jsonEncoder = simplejson.encoder.JSONEncoder()
jsonDecoder = simplejson.decoder.JSONDecoder()
def scarlett(environ, start_response):
#
# create request & response objects
#
request = webob.Request(environ)
response = webob.Response()
#
# create session object
#
session = Session(request)
# do job
channel = session.message["channel"]
if channel == "refresh":
if session.isAdmin:
response.body = shell % ("Scarlett-Admin", "scarlett.Admin")
elif session.user:
response.body = shell % ("Scarlett", "scarlett.Main")
else:
response.body = shell % ("Login", "scarlett.Login")
elif channel == "locateservice":
fullName = str(session.message["fullName"])
service = utils.my_import(fullName)
simpleName = fullName.split('.')[-1]
response.body = generateServiceStub(service, fullName, simpleName)
response.content_type = "text/plain"
response.charset = "UTF-8"
elif channel == "rmi":
fullName = str(session.message["serviceName"])
methodName = str(session.message["methodName"])
args = session.message["args"];
argList = ""
for i in range(len(args)):
argList += "args[%s], " % i
argList = argList[:-2]
service = utils.my_import(fullName)
outMessage = {
"result": eval("service."+methodName+"(session, "+argList+")")
}
if fullName == "scarlett.admin" and methodName == "login" and outMessage["result"]:
response.set_cookie("sid", userToSid(args[0]))
response.body = jsonEncoder.encode(outMessage)
response.content_type = "text/plain"
response.charset = "UTF-8"
elif channel == "admin":
user = users.get_current_user()
if not user:
response.body = users.create_login_url("/")
logging.info("admin: do login")
else:
response.body = "/"
logging.info("admin: do normal")
else:
response.body = "unknown channel: %s" % str(channel)
#
return response(environ, start_response)
#
# Tips:
# session.message
# session.message.channel
# session.isAdmin
# session.user
# session.user.alias
#
class Session():
def __init__(self, request):
#
# setting message
#
if request.method == "GET":
self.message = {"channel":"refresh"}
else:
self.message = jsonDecoder.decode(request.body)
#
# setting isAdmin & user
#
if users.is_current_user_admin():
self.isAdmin = True
self.user = None
elif "sid" not in request.cookies:
self.isAdmin = False
self.user = None
elif not request.cookies["sid"]:
self.isAdmin = False
self.user = None
else:
self.isAdmin = False
self.user = sidToUser(request.cookies["sid"])
def sidToUser(sid):
#
# TODO: a real sid should be used
#
return model.User.get(db.Key.from_path("User", "ID_"+sid, _app="scarlett"))
def userToSid(userName):
#
# TODO: a real sid should be used
#
return userName
def generateServiceStub(service, fullName, simpleName):
methodList= filter(lambda x : x[0:1]!= "_", dir(service))
stub = "var " + simpleName + " = function(){\n"
stub += "}\n\n"
for method in methodList:
stub += simpleName + ".prototype." + method + " = function() {\n"
stub += "\treturn jsloader.doRmi('%s', '%s', arguments);\n" % (fullName, method)
stub += "};\n"
return stub
def main():
wsgiref.handlers.CGIHandler().run(scarlett)
shell = """
<html>
<head>
<title>%s</title>
<script>
var App = null;
var app = null;
function init() {
App = jsloader.resolve("%s")
app = new App(document.body);
var welcome = document.getElementById("welcome");
document.body.removeChild(welcome);
}
function destroy() {
app.destroy();
}
</script>
</head>
<body scroll="no" style="overflow: hidden; margin: 0px; padding: 0px" onload="init()" onunload="destroy()">
<span id="welcome">Loading ...</span>
</body>
<script src="js/lang/JSLoader.js"></script>
</html>
"""
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
388430234a19c8d3bb7df514027066b68cf8fc68 | 3507fdc5012e55f6a784d70a7ad6da11224e5bfe | /caesar_cipher.py | 2fa71c8cece652f7e97971c772561d702a65ad0c | [] | no_license | jonasthiel/100-days-of-code-python | 640be865bdba10cca17ba72c4923cf9961ed570c | 94ad366d10ed862c6c699ae1f242bd462f2ba597 | refs/heads/main | 2023-04-03T11:53:16.993098 | 2021-04-09T14:20:41 | 2021-04-09T14:20:41 | 330,404,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,924 | py | from os import system
alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
logo = """
,adPPYba, ,adPPYYba, ,adPPYba, ,adPPYba, ,adPPYYba, 8b,dPPYba,
a8" "" "" `Y8 a8P_____88 I8[ "" "" `Y8 88P' "Y8
8b ,adPPPPP88 8PP""""""" `"Y8ba, ,adPPPPP88 88
"8a, ,aa 88, ,88 "8b, ,aa aa ]8I 88, ,88 88
`"Ybbd8"' `"8bbdP"Y8 `"Ybbd8"' `"YbbdP"' `"8bbdP"Y8 88
88 88
"" 88
88
,adPPYba, 88 8b,dPPYba, 88,dPPYba, ,adPPYba, 8b,dPPYba,
a8" "" 88 88P' "8a 88P' "8a a8P_____88 88P' "Y8
8b 88 88 d8 88 88 8PP""""""" 88
"8a, ,aa 88 88b, ,a8" 88 88 "8b, ,aa 88
`"Ybbd8"' 88 88`YbbdP"' 88 88 `"Ybbd8"' 88
88
88
"""
end = False
while not end:
print(logo)
direction = input("Type 'encode' to encrypt, type 'decode' to decrypt:\n")
text = input("Type your message:\n").lower()
shift = int(input("Type the shift number:\n"))
def caesar(direction, text, shift):
output_text = ""
if shift > 26:
shift %= 26
if direction == "encode":
for i in text:
if i in alphabet:
index = alphabet.index(i)
if index + shift > 25:
output_text += alphabet[index + shift - 26]
else:
output_text += alphabet[index + shift]
else:
output_text += i
elif direction == "decode":
for i in text:
if i in alphabet:
index = alphabet.index(i)
if index - shift < 0:
output_text += alphabet[index - shift + 26]
else:
output_text += alphabet[index - shift]
else:
output_text += i
print(f"The {direction}d text is {output_text}")
caesar(direction, text, shift)
if input("Type 'yes' if you want to go again. Otherwise type 'no'.\n").lower() == "no":
end = True
else:
system('clear') | [
"[email protected]"
] | |
ceb0c0134cb3480fdab988077750fcef69ee298d | f8ea3582884df87172cb747e424ebd0c20223614 | /(sandbox,tobemerged)/setup.py | bfdf53b7357b1a52aaad77a7986bc61cc1b5ddd9 | [
"MIT"
] | permissive | karimbahgat/PythonGis | 94f52f800a769ee54b12c7277604ead011465321 | fb99148a15bcbe0438ddca67b484a15076bd961a | refs/heads/master | 2023-04-12T15:59:08.522464 | 2022-09-09T22:48:32 | 2022-09-09T22:48:32 | 47,153,255 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,260 | py | ############
### allow building the exe by simply running this script
import sys
sys.argv.append("py2exe")
############
### imports
from distutils.core import setup
import py2exe
###########
### options
WINDOWS = [{"script": "guitester.py",
"icon_resources": [(1,"pythongis/app/logo.ico")] }]
OPTIONS = {"skip_archive": True,
"dll_excludes": ["python26.dll","python27.so"]}
###########
### create the application icon
##import PIL, PIL.Image
##img = PIL.Image.open("icon.png")
##img.save("icon.ico", sizes=[(255,255),(128,128),(64,64),(48,48),(32,32),(16,16),(8,8)])
###########
### build
setup(windows=WINDOWS,
options={"py2exe": OPTIONS}
)
###########
### manually copy pythongis package to dist
### ...because py2exe may not copy all files
import os
import shutil
frompath = "pythongis"
topath = os.path.join("dist","pythongis")
shutil.rmtree(topath) # deletes the folder copied by py2exe
shutil.copytree(frompath, topath)
###########
### and same with dependencies
for dependname in os.listdir("dependencies"):
frompath = os.path.join("dependencies", dependname)
topath = os.path.join("dist", dependname)
shutil.rmtree(topath) # deletes the folder copied by py2exe
shutil.copytree(frompath, topath)
| [
"[email protected]"
] | |
d519581682c5b4acb68ab1878e3cda3a7b8c4ddd | 5e2655fb23e558c54695dea5c9456b5552570947 | /localdev/seed/management/commands/seed_data.py | f42ad2be00ea5d9f4f5111900de0d82b66bf4e16 | [
"BSD-3-Clause"
] | permissive | mitodl/bootcamp-ecommerce | 992cb23243462d82c75cfae6c115a27728491219 | 339c67b84b661a37ffe32580da72383d95666c5c | refs/heads/master | 2023-08-31T10:45:57.827990 | 2023-07-25T13:55:32 | 2023-07-25T13:55:32 | 82,849,185 | 6 | 3 | BSD-3-Clause | 2023-08-24T20:25:47 | 2017-02-22T20:27:24 | Python | UTF-8 | Python | false | false | 709 | py | """Management command to create or update seed data"""
from django.core.management.base import BaseCommand
from localdev.seed.api import create_seed_data
from localdev.seed.utils import get_raw_seed_data_from_file
class Command(BaseCommand):
"""Creates or updates seed data based on a raw seed data file"""
help = __doc__
def handle(self, *args, **options):
raw_seed_data = get_raw_seed_data_from_file()
results = create_seed_data(raw_seed_data)
if not results.has_results:
self.stdout.write(self.style.WARNING("No results logged."))
else:
self.stdout.write(self.style.SUCCESS("RESULTS"))
self.stdout.write(results.report)
| [
"[email protected]"
] | |
c7040497fddc70804c791aa8caffd6ee49621d0d | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_2/hbbirf001/question3.py | 86f1543deb5d0d08303893c1de5d53fe0d63e38e | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 260 | py | import math
pi =2
denom = math.sqrt(2)
while denom != 2:
pi = pi*2/denom
denom = math.sqrt(2+denom)
print('Approximation of pi:',round(pi,3),sep=' ')
radius = eval(input('Enter the radius:\n'))
area = pi*radius**2
print('Area:', round(area,3)) | [
"[email protected]"
] | |
907107ef98f88293e5eab6076021cbe6900e6c7d | 44acca58155b0a5a2b46d6a9ed255befece4f5d1 | /api_vendas/api_vendas/wsgi.py | 298a0f3193ddd7ce468b07db9e5f06b15df79e98 | [] | no_license | GeovaneCavalcante/appHubVendas | 6f6c74cb2f94b2534ab1c3d0f241422fb88b81f4 | 068bb08e2a270d132e60502c35edc11a4526f671 | refs/heads/master | 2020-03-20T07:22:32.555287 | 2018-06-13T22:38:53 | 2018-06-13T22:38:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 398 | py | """
WSGI config for api_vendas project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "api_vendas.settings")
application = get_wsgi_application()
| [
"[email protected]"
] | |
65fc92a79bd813ef453b821d8a02b1a20e6cd577 | e588da296dd6ec3bedee9d24444dfca6e8780aef | /classroom examples/10.py | ab241aa1417f606aba6c9459a043d03a16b9e3e0 | [] | no_license | sujith1919/TCS-Python | 98eac61a02500a0e8f3139e431c98a509828c867 | c988cf078616540fe7f56e3ebdfd964aebd14519 | refs/heads/master | 2023-03-02T09:03:10.052633 | 2021-02-02T16:40:18 | 2021-02-02T16:40:18 | 335,355,862 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | import time
import os
starttime=time.time()
for x in range(1000):
x**x
endtime=time.time()
print(endtime-starttime)
time.sleep(1) #sleeps for 1 second
ts = os.path.getctime("10.py")
print(ts)
print(time.ctime(ts))
| [
"[email protected]"
] | |
22256ba682801c86d92e53c516104a2ac18db1fd | b27b26462524984951bfbab9250abd145ecfd4c8 | /Demoing/stage_two/bloomingtonnormal/craigslist_sample/craigslist_sample/spiders/craigslist_spider.py | 9ccd525099e5b2802a2344337a1293d1d28242f0 | [] | no_license | afcarl/fastTraffickingGrab | cb813d066f1f69f359598e0b55e632dafd273c89 | 9ff274cb7c9b6c7b60d1436c209b2bfc5907267d | refs/heads/master | 2020-03-26T06:21:21.404931 | 2014-08-16T12:38:29 | 2014-08-16T12:38:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,042 | py |
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from craigslist_sample.items import CraigslistSampleItem
class CraigslistSpider(CrawlSpider):
name = "craigslist"
allowed_domains = ["craigslist.org"]
start_urls = [
"http://bn.craigslist.org",
"http://bn.craigslist.org/cas/",
"http://bn.craigslist.org/cas/index100.html",
"http://bn.craigslist.org/cas/index200.html",
"http://bn.craigslist.org/cas/index300.html",
"http://bn.craigslist.org/cas/index400.html",
"http://bn.craigslist.org/cas/index500.html",
"http://bn.craigslist.org/cas/index600.html",
"http://bn.craigslist.org/cas/index700.html",
"http://bn.craigslist.org/cas/index800.html",
"http://bn.craigslist.org/cas/index900.html",
"http://bn.craigslist.org/cas/index1000.html",
"http://bn.craigslist.org/cas/index1100.html",
"http://bn.craigslist.org/cas/index1200.html",
"http://bn.craigslist.org/cas/index1300.html",
"http://bn.craigslist.org/cas/index1400.html",
"http://bn.craigslist.org/cas/index1500.html",
"http://bn.craigslist.org/cas/index1600.html",
"http://bn.craigslist.org/cas/index1700.html",
"http://bn.craigslist.org/cas/index1800.html",
"http://bn.craigslist.org/cas/index1900.html",
"http://bn.craigslist.org/cas/index2000.html",
"http://bn.craigslist.org/cas/index2100.html",
"http://bn.craigslist.org/cas/index2200.html",
"http://bn.craigslist.org/cas/index2300.html",
"http://bn.craigslist.org/cas/index2400.html",
"http://bn.craigslist.org/cas/index2500.html",
"http://bn.craigslist.org/cas/index2600.html",
"http://bn.craigslist.org/cas/index2700.html",
"http://bn.craigslist.org/cas/index2800.html",
"http://bn.craigslist.org/cas/index2900.html",
"http://bn.craigslist.org/cas/index3000.html",
"http://bn.craigslist.org/cas/index3100.html",
"http://bn.craigslist.org/cas/index3200.html",
"http://bn.craigslist.org/cas/index3300.html",
"http://bn.craigslist.org/cas/index3400.html",
"http://bn.craigslist.org/cas/index3500.html",
"http://bn.craigslist.org/cas/index3600.html",
"http://bn.craigslist.org/cas/index3700.html",
"http://bn.craigslist.org/cas/index3800.html",
"http://bn.craigslist.org/cas/index3900.html",
"http://bn.craigslist.org/cas/index4000.html",
"http://bn.craigslist.org/cas/index4100.html",
"http://bn.craigslist.org/cas/index4200.html",
"http://bn.craigslist.org/cas/index4300.html",
"http://bn.craigslist.org/cas/index4400.html",
"http://bn.craigslist.org/cas/index4500.html",
"http://bn.craigslist.org/cas/index4600.html",
"http://bn.craigslist.org/cas/index4700.html",
"http://bn.craigslist.org/cas/index4800.html",
"http://bn.craigslist.org/cas/index4900.html",
"http://bn.craigslist.org/cas/index5000.html",
"http://bn.craigslist.org/cas/index5100.html",
"http://bn.craigslist.org/cas/index5200.html",
"http://bn.craigslist.org/cas/index5300.html",
"http://bn.craigslist.org/cas/index5400.html",
"http://bn.craigslist.org/cas/index5500.html",
"http://bn.craigslist.org/cas/index5600.html",
"http://bn.craigslist.org/cas/index5700.html",
"http://bn.craigslist.org/cas/index5800.html",
"http://bn.craigslist.org/cas/index5900.html",
"http://bn.craigslist.org/cas/index6000.html",
"http://bn.craigslist.org/cas/index6100.html",
"http://bn.craigslist.org/cas/index6200.html",
"http://bn.craigslist.org/cas/index6300.html",
"http://bn.craigslist.org/cas/index6400.html",
"http://bn.craigslist.org/cas/index6500.html",
"http://bn.craigslist.org/cas/index6600.html",
"http://bn.craigslist.org/cas/index6700.html",
"http://bn.craigslist.org/cas/index6800.html",
"http://bn.craigslist.org/cas/index6900.html",
"http://bn.craigslist.org/cas/index7000.html",
"http://bn.craigslist.org/cas/index7100.html",
"http://bn.craigslist.org/cas/index7200.html",
"http://bn.craigslist.org/cas/index7300.html",
"http://bn.craigslist.org/cas/index7400.html",
"http://bn.craigslist.org/cas/index7500.html",
"http://bn.craigslist.org/cas/index7600.html",
"http://bn.craigslist.org/cas/index7700.html",
"http://bn.craigslist.org/cas/index7800.html",
"http://bn.craigslist.org/cas/index7900.html",
"http://bn.craigslist.org/cas/index8000.html",
"http://bn.craigslist.org/cas/index8100.html",
"http://bn.craigslist.org/cas/index8200.html",
"http://bn.craigslist.org/cas/index8300.html",
"http://bn.craigslist.org/cas/index8400.html",
"http://bn.craigslist.org/cas/index8500.html",
"http://bn.craigslist.org/cas/index8600.html",
"http://bn.craigslist.org/cas/index8700.html",
"http://bn.craigslist.org/cas/index8800.html",
"http://bn.craigslist.org/cas/index8900.html",
"http://bn.craigslist.org/cas/index9000.html",
"http://bn.craigslist.org/cas/index9100.html",
"http://bn.craigslist.org/cas/index9200.html",
"http://bn.craigslist.org/cas/index9300.html",
"http://bn.craigslist.org/cas/index9400.html",
"http://bn.craigslist.org/cas/index9500.html",
"http://bn.craigslist.org/cas/index9600.html",
"http://bn.craigslist.org/cas/index9700.html",
"http://bn.craigslist.org/cas/index9800.html",
"http://bn.craigslist.org/cas/index9900.html"
]
rules = (Rule(SgmlLinkExtractor(allow=(),restrict_xpaths=('//a')), callback="parse", follow= True),)
def parse(self, response):
hxs = HtmlXPathSelector(response)
titles = hxs.select("//span[@class='pl']")
date_info = hxs.select("//h4[@class='ban']/span[@class='bantext']/text()")
items = []
file_to = open("things.txt","a")
file_to.write(response.body)
for titles in titles:
item = CraigslistSampleItem()
item ["title"] = titles.select("a/text()").extract()
item ["link"] = titles.select("a/@href").extract()
item ["date"] = date_info.extract()
items.append(item)
return items
| [
"[email protected]"
] | |
07b8a5019433683f2a6f9216935aaa0a5caa2f35 | f0b75bd94f133a13f469f429a696f26be3be9862 | /week 2/.history/python_second_assignment_20200204163718.py | b9cd1fdfdd8aa3efdde2ac692d9c4aefc42371f3 | [] | no_license | dechavez4/Python_handin_assignments | 023350fabd212cdf2a4ee9cd301306dc5fd6bea0 | 82fd8c991e560c18ecb2152ea5a8fc35dfc3c608 | refs/heads/master | 2023-01-11T23:31:27.220757 | 2020-05-22T10:33:56 | 2020-05-22T10:33:56 | 237,179,899 | 0 | 0 | null | 2022-12-30T20:14:04 | 2020-01-30T09:30:16 | Python | UTF-8 | Python | false | false | 2,196 | py | import csv
from sys import argv
import platform
import argparse
import os.path
from os import path
# Create a python file with 3 functions:
# A. def print_file_content(file) that can print content of a csv file to the console
def print_file_content(file):
with open(file) as csv_file:
content = csv_file.readlines()
for line in content[:20]:
print(line.strip().split(','))
# kan overskrive den gamle file.
# B. def write_list_to_file(output_file, lst) that can take a list of tuple and write each element to a new line in file
def write_list_to_file(output_file, *lst):
if platform.system() == 'Windows':
newline=''
else:
newline=None
with open (output_file, 'w', newline=newline) as output_file:
output_writer = csv.writer(output_file)
for ele in lst:
output_writer.writerow(ele)
# C. def read_csv(input_file) that take a csv file and read each row into a list
def read_line(file):
with open(file) as file_object:
lines = file_object.readlines()
print(lines)
for line in lines:
print(line.rstrip())
# 2. Add a functionality so that the file can be called from cli with 2 arguments
def run():
if args.print:
print_file_content(argv[2])
if args.write:
write_list_to_file(argv[2], argv[3:])
if args.read:
read_line(argv[2])
if args.file:
path.exists(argv[2])
write_list_to_file(argv[2], argv[3:])
else:
print("file doesnt exist", argv[2])
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="this is my menu")
parser.add_argument("--print", help='function that can print content of a csv file to the console')
parser.add_argument("--write", nargs="*", help='function that can take a list of tuple and write each element to a new line in file')
parser.add_argument("--read", help='function that take a csv file and read each row into a list')
parser.add_argument("--
", nargs="*", help="an argument that if given will write the content to file_name or otherwise will print it to the console.")
args = parser.parse_args()
run() | [
"[email protected]"
] | |
8d1e0879923a18a294c104bbdfeb17dc5fd8e53f | ed63c99ccb0beebcfe9bff2ef68e9c86877fa7d8 | /synthesizer/train.py | 823dcd119ae7f939f68829aa6c221721e8806a3a | [
"MIT"
] | permissive | X-CCS/Real-Time-Voice-Cloning-1 | d25588a852b87849f9a517d587a3a36d086bbae0 | ae4aa2aa1605168d2f04275e1a45f6de2d88f3f0 | refs/heads/master | 2022-02-28T03:29:26.135339 | 2019-10-23T12:01:10 | 2019-10-23T12:01:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,152 | py | from synthesizer.utils.symbols import symbols
from synthesizer.utils.text import sequence_to_text
from synthesizer.hparams import hparams_debug_string
from synthesizer.feeder import Feeder
from synthesizer.models import create_model
from synthesizer.utils import ValueWindow, plot
from synthesizer import infolog, audio
from datetime import datetime
from tqdm import tqdm
import tensorflow as tf
import numpy as np
import traceback
import time
import os
log = infolog.log
def add_embedding_stats(summary_writer, embedding_names, paths_to_meta, checkpoint_path):
# Create tensorboard projector
config = tf.contrib.tensorboard.plugins.projector.ProjectorConfig()
config.model_checkpoint_path = checkpoint_path
for embedding_name, path_to_meta in zip(embedding_names, paths_to_meta):
# Initialize config
embedding = config.embeddings.add()
# Specifiy the embedding variable and the metadata
embedding.tensor_name = embedding_name
embedding.metadata_path = path_to_meta
# Project the embeddings to space dimensions for visualization
tf.contrib.tensorboard.plugins.projector.visualize_embeddings(summary_writer, config)
def add_train_stats(model, hparams):
with tf.variable_scope("stats"):
for i in range(hparams.tacotron_num_gpus):
tf.summary.histogram("mel_outputs %d" % i, model.tower_mel_outputs[i])
tf.summary.histogram("mel_targets %d" % i, model.tower_mel_targets[i])
tf.summary.scalar("before_loss", model.before_loss)
tf.summary.scalar("after_loss", model.after_loss)
if hparams.predict_linear:
tf.summary.scalar("linear_loss", model.linear_loss)
for i in range(hparams.tacotron_num_gpus):
tf.summary.histogram("mel_outputs %d" % i, model.tower_linear_outputs[i])
tf.summary.histogram("mel_targets %d" % i, model.tower_linear_targets[i])
tf.summary.scalar("regularization_loss", model.regularization_loss)
tf.summary.scalar("stop_token_loss", model.stop_token_loss)
tf.summary.scalar("loss", model.loss)
tf.summary.scalar("learning_rate", model.learning_rate) # Control learning rate decay speed
if hparams.tacotron_teacher_forcing_mode == "scheduled":
tf.summary.scalar("teacher_forcing_ratio", model.ratio) # Control teacher forcing
# ratio decay when mode = "scheduled"
gradient_norms = [tf.norm(grad) for grad in model.gradients]
tf.summary.histogram("gradient_norm", gradient_norms)
tf.summary.scalar("max_gradient_norm", tf.reduce_max(gradient_norms)) # visualize
# gradients (in case of explosion)
return tf.summary.merge_all()
def add_eval_stats(summary_writer, step, linear_loss, before_loss, after_loss, stop_token_loss,
loss):
values = [
tf.Summary.Value(tag="Tacotron_eval_model/eval_stats/eval_before_loss",
simple_value=before_loss),
tf.Summary.Value(tag="Tacotron_eval_model/eval_stats/eval_after_loss",
simple_value=after_loss),
tf.Summary.Value(tag="Tacotron_eval_model/eval_stats/stop_token_loss",
simple_value=stop_token_loss),
tf.Summary.Value(tag="Tacotron_eval_model/eval_stats/eval_loss", simple_value=loss),
]
if linear_loss is not None:
values.append(tf.Summary.Value(tag="Tacotron_eval_model/eval_stats/eval_linear_loss",
simple_value=linear_loss))
test_summary = tf.Summary(value=values)
summary_writer.add_summary(test_summary, step)
def time_string():
return datetime.now().strftime("%Y-%m-%d %H:%M")
def model_train_mode(args, feeder, hparams, global_step):
with tf.variable_scope("Tacotron_model", reuse=tf.AUTO_REUSE):
model = create_model("Tacotron", hparams)
model.initialize(feeder.inputs, feeder.input_lengths, feeder.speaker_embeddings,
feeder.mel_targets, feeder.token_targets,
targets_lengths=feeder.targets_lengths, global_step=global_step,
is_training=True, split_infos=feeder.split_infos)
model.add_loss()
model.add_optimizer(global_step)
stats = add_train_stats(model, hparams)
return model, stats
def model_test_mode(args, feeder, hparams, global_step):
with tf.variable_scope("Tacotron_model", reuse=tf.AUTO_REUSE):
model = create_model("Tacotron", hparams)
model.initialize(feeder.eval_inputs, feeder.eval_input_lengths,
feeder.eval_speaker_embeddings, feeder.eval_mel_targets,
feeder.eval_token_targets, targets_lengths=feeder.eval_targets_lengths,
global_step=global_step, is_training=False, is_evaluating=True,
split_infos=feeder.eval_split_infos)
model.add_loss()
return model
def train(log_dir, args, hparams):
log_dir = str(log_dir)
save_dir = os.path.join(log_dir, "taco_pretrained")
plot_dir = os.path.join(log_dir, "plots")
wav_dir = os.path.join(log_dir, "wavs")
mel_dir = os.path.join(log_dir, "mel-spectrograms")
eval_dir = os.path.join(log_dir, "eval-dir")
eval_plot_dir = os.path.join(eval_dir, "plots")
eval_wav_dir = os.path.join(eval_dir, "wavs")
tensorboard_dir = os.path.join(log_dir, "tacotron_events")
meta_folder = os.path.join(log_dir, "metas")
os.makedirs(save_dir, exist_ok=True)
os.makedirs(plot_dir, exist_ok=True)
os.makedirs(wav_dir, exist_ok=True)
os.makedirs(mel_dir, exist_ok=True)
os.makedirs(eval_dir, exist_ok=True)
os.makedirs(eval_plot_dir, exist_ok=True)
os.makedirs(eval_wav_dir, exist_ok=True)
os.makedirs(tensorboard_dir, exist_ok=True)
os.makedirs(meta_folder, exist_ok=True)
checkpoint_fpath = os.path.join(save_dir, "tacotron_model.ckpt")
metadat_fpath = os.path.join(str(args.synthesizer_root), "train.txt")
log("Checkpoint path: {}".format(checkpoint_fpath))
log("Loading training data from: {}".format(metadat_fpath))
log("Using model: Tacotron")
log(hparams_debug_string())
# Start by setting a seed for repeatability
tf.set_random_seed(hparams.tacotron_random_seed)
# Set up data feeder
coord = tf.train.Coordinator()
with tf.variable_scope("datafeeder"):
feeder = Feeder(coord, metadat_fpath, hparams)
# Set up model:
global_step = tf.Variable(0, name="global_step", trainable=False)
model, stats = model_train_mode(args, feeder, hparams, global_step)
eval_model = model_test_mode(args, feeder, hparams, global_step)
# Embeddings metadata
char_embedding_meta = os.path.join(meta_folder, "CharacterEmbeddings.tsv")
if not os.path.isfile(char_embedding_meta):
with open(char_embedding_meta, "w", encoding="utf-8") as f:
for symbol in symbols:
if symbol == " ":
symbol = "\\s" # For visual purposes, swap space with \s
f.write("{}\n".format(symbol))
char_embedding_meta = char_embedding_meta.replace(log_dir, "..")
# Book keeping
step = 0
time_window = ValueWindow(100)
loss_window = ValueWindow(100)
saver = tf.train.Saver(max_to_keep=50)
log("Tacotron training set to a maximum of {} steps".format(args.tacotron_train_steps))
# Memory allocation on the GPU as needed
config = tf.ConfigProto()
# config.gpu_options.per_process_gpu_memory_fraction = 0.9
# config.gpu_options.allow_growth = True
config.allow_soft_placement = True
# Train
with tf.Session(config=config) as sess:
try:
summary_writer = tf.summary.FileWriter(tensorboard_dir, sess.graph)
sess.run(tf.global_variables_initializer())
# saved model restoring
if args.restore:
# Restore saved model if the user requested it, default = True
try:
checkpoint_state = tf.train.get_checkpoint_state(save_dir)
if checkpoint_state and checkpoint_state.model_checkpoint_path:
log("Loading checkpoint {}".format(checkpoint_state.model_checkpoint_path),
slack=True)
saver.restore(sess, checkpoint_state.model_checkpoint_path)
else:
log("No model to load at {}".format(save_dir), slack=True)
saver.save(sess, checkpoint_fpath, global_step=global_step)
except tf.errors.OutOfRangeError as e:
log("Cannot restore checkpoint: {}".format(e), slack=True)
else:
log("Starting new training!", slack=True)
saver.save(sess, checkpoint_fpath, global_step=global_step)
# initializing feeder
feeder.start_threads(sess)
# Training loop
while not coord.should_stop() and step < args.tacotron_train_steps:
start_time = time.time()
step, loss, opt = sess.run([global_step, model.loss, model.optimize])
time_window.append(time.time() - start_time)
loss_window.append(loss)
message = "Step {:7d} [{:.3f} sec/step, loss={:.5f}, avg_loss={:.5f}]".format(
step, time_window.average, loss, loss_window.average)
log(message, end="\r", slack=(step % args.checkpoint_interval == 0))
print(message, flush=True)
if loss > 100 or np.isnan(loss):
log("Loss exploded to {:.5f} at step {}".format(loss, step))
raise Exception("Loss exploded")
if step % args.summary_interval == 0:
log("\nWriting summary at step {}".format(step))
summary_writer.add_summary(sess.run(stats), step)
if step % args.eval_interval == 0:
# Run eval and save eval stats
log("\nRunning evaluation at step {}".format(step))
eval_losses = []
before_losses = []
after_losses = []
stop_token_losses = []
linear_losses = []
linear_loss = None
if hparams.predict_linear:
for i in tqdm(range(feeder.test_steps)):
eloss, before_loss, after_loss, stop_token_loss, linear_loss, mel_p, \
mel_t, t_len, align, lin_p, lin_t = sess.run(
[
eval_model.tower_loss[0], eval_model.tower_before_loss[0],
eval_model.tower_after_loss[0],
eval_model.tower_stop_token_loss[0],
eval_model.tower_linear_loss[0],
eval_model.tower_mel_outputs[0][0],
eval_model.tower_mel_targets[0][0],
eval_model.tower_targets_lengths[0][0],
eval_model.tower_alignments[0][0],
eval_model.tower_linear_outputs[0][0],
eval_model.tower_linear_targets[0][0],
])
eval_losses.append(eloss)
before_losses.append(before_loss)
after_losses.append(after_loss)
stop_token_losses.append(stop_token_loss)
linear_losses.append(linear_loss)
linear_loss = sum(linear_losses) / len(linear_losses)
wav = audio.inv_linear_spectrogram(lin_p.T, hparams)
audio.save_wav(wav, os.path.join(eval_wav_dir,
"step-{}-eval-wave-from-linear.wav".format(
step)), sr=hparams.sample_rate)
else:
for i in tqdm(range(feeder.test_steps)):
eloss, before_loss, after_loss, stop_token_loss, mel_p, mel_t, t_len,\
align = sess.run(
[
eval_model.tower_loss[0], eval_model.tower_before_loss[0],
eval_model.tower_after_loss[0],
eval_model.tower_stop_token_loss[0],
eval_model.tower_mel_outputs[0][0],
eval_model.tower_mel_targets[0][0],
eval_model.tower_targets_lengths[0][0],
eval_model.tower_alignments[0][0]
])
eval_losses.append(eloss)
before_losses.append(before_loss)
after_losses.append(after_loss)
stop_token_losses.append(stop_token_loss)
eval_loss = sum(eval_losses) / len(eval_losses)
before_loss = sum(before_losses) / len(before_losses)
after_loss = sum(after_losses) / len(after_losses)
stop_token_loss = sum(stop_token_losses) / len(stop_token_losses)
log("Saving eval log to {}..".format(eval_dir))
# Save some log to monitor model improvement on same unseen sequence
wav = audio.inv_mel_spectrogram(mel_p.T, hparams)
audio.save_wav(wav, os.path.join(eval_wav_dir,
"step-{}-eval-wave-from-mel.wav".format(step)),
sr=hparams.sample_rate)
plot.plot_alignment(align, os.path.join(eval_plot_dir,
"step-{}-eval-align.png".format(step)),
title="{}, {}, step={}, loss={:.5f}".format("Tacotron",
time_string(),
step,
eval_loss),
max_len=t_len // hparams.outputs_per_step)
plot.plot_spectrogram(mel_p, os.path.join(eval_plot_dir,
"step-{"
"}-eval-mel-spectrogram.png".format(
step)),
title="{}, {}, step={}, loss={:.5f}".format("Tacotron",
time_string(),
step,
eval_loss),
target_spectrogram=mel_t,
max_len=t_len)
if hparams.predict_linear:
plot.plot_spectrogram(lin_p, os.path.join(eval_plot_dir,
"step-{}-eval-linear-spectrogram.png".format(
step)),
title="{}, {}, step={}, loss={:.5f}".format(
"Tacotron", time_string(), step, eval_loss),
target_spectrogram=lin_t,
max_len=t_len, auto_aspect=True)
log("Eval loss for global step {}: {:.3f}".format(step, eval_loss))
log("Writing eval summary!")
add_eval_stats(summary_writer, step, linear_loss, before_loss, after_loss,
stop_token_loss, eval_loss)
if step % args.checkpoint_interval == 0 or step == args.tacotron_train_steps or \
step == 300:
# Save model and current global step
saver.save(sess, checkpoint_fpath, global_step=global_step)
log("\nSaving alignment, Mel-Spectrograms and griffin-lim inverted waveform..")
input_seq, mel_prediction, alignment, target, target_length = sess.run([
model.tower_inputs[0][0],
model.tower_mel_outputs[0][0],
model.tower_alignments[0][0],
model.tower_mel_targets[0][0],
model.tower_targets_lengths[0][0],
])
# save predicted mel spectrogram to disk (debug)
mel_filename = "mel-prediction-step-{}.npy".format(step)
np.save(os.path.join(mel_dir, mel_filename), mel_prediction.T,
allow_pickle=False)
# save griffin lim inverted wav for debug (mel -> wav)
wav = audio.inv_mel_spectrogram(mel_prediction.T, hparams)
audio.save_wav(wav,
os.path.join(wav_dir, "step-{}-wave-from-mel.wav".format(step)),
sr=hparams.sample_rate)
# save alignment plot to disk (control purposes)
plot.plot_alignment(alignment,
os.path.join(plot_dir, "step-{}-align.png".format(step)),
title="{}, {}, step={}, loss={:.5f}".format("Tacotron",
time_string(),
step, loss),
max_len=target_length // hparams.outputs_per_step)
# save real and predicted mel-spectrogram plot to disk (control purposes)
plot.plot_spectrogram(mel_prediction, os.path.join(plot_dir,
"step-{}-mel-spectrogram.png".format(
step)),
title="{}, {}, step={}, loss={:.5f}".format("Tacotron",
time_string(),
step, loss),
target_spectrogram=target,
max_len=target_length)
log("Input at step {}: {}".format(step, sequence_to_text(input_seq)))
if step % args.embedding_interval == 0 or step == args.tacotron_train_steps or step == 1:
# Get current checkpoint state
checkpoint_state = tf.train.get_checkpoint_state(save_dir)
# Update Projector
log("\nSaving Model Character Embeddings visualization..")
add_embedding_stats(summary_writer, [model.embedding_table.name],
[char_embedding_meta],
checkpoint_state.model_checkpoint_path)
log("Tacotron Character embeddings have been updated on tensorboard!")
log("Tacotron training complete after {} global steps!".format(
args.tacotron_train_steps), slack=True)
return save_dir
except Exception as e:
log("Exiting due to exception: {}".format(e), slack=True)
traceback.print_exc()
coord.request_stop(e)
def tacotron_train(args, log_dir, hparams):
return train(log_dir, args, hparams)
| [
"[email protected]"
] | |
8f0ea1ddcb842afbdfefab10bdc1a50be19625f3 | a140b45f9f16b74353d15ed573ea765b3fef046d | /algorithms/leet.0693.src.1.py | 04b92c007caace7e60b187ff08050dfd9eefba49 | [] | no_license | fish-ball/leetcode | 258d4b37f05560d914bcd29f7c54820deeadb33f | 3dfd8f73c65d43cc2766c20700a619141acb927b | refs/heads/master | 2023-05-28T18:32:43.638675 | 2023-05-20T04:25:23 | 2023-05-20T04:25:23 | 31,968,994 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 207 | py | class Solution:
def hasAlternatingBits(self, n: int) -> bool:
if n <= 2:
return True
if n & 3 in (3, 0):
return False
return self.hasAlternatingBits(n>>1)
| [
"[email protected]"
] | |
5fa3c9d9bb0d62ebb1c3fba841f5fde8baeb38ba | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /tDswMNY7X9h7tyTS4_22.py | cf345fc278bf3cb0fa4a9810e75fe0ead3c22a1a | [] | 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 | 1,116 | py | """
**Mubashir** was reading about [Pascal's
triangle](https://en.wikipedia.org/wiki/Pascal's_triangle) on Wikipedia.
In mathematics, Pascal's triangle is a triangular array of the binomial
coefficients that arises in probability theory, combinatorics, and algebra.
Formula for Pascal's triangle is given by:
where `n` denotes a row of the triangle, and `k` is the position of a term in
the row.
Create a function which takes a number `n` and returns **n top rows** of
Pascal's Triangle flattened into a one-dimensional list.
### Examples
pascals_triangle(1) ➞ [1]
pascals_triangle(2) ➞ [1, 1, 1]
pascals_triangle(4) ➞ [1, 1, 1, 1, 2, 1, 1, 3, 3, 1]
### Notes
N/A
"""
import math
def pascals_triangle(n):
triangle = []
for row in range(n):
new_row = []
for k in range(row+1):
new_row.append(math.factorial(row)//(math.factorial(k)*math.factorial(row-k)))
triangle += new_row
return triangle
| [
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] | |
dc0795e8588404f2f441e385ff7792de19d21846 | f0e0c1637f3b49fd914410361c3f1f3948462659 | /Python/Math/integers_come_in_all_sizes.py | 067bf933bb0a96f4a2758091ba2df74899b1be13 | [] | no_license | georggoetz/hackerrank-py | 399bcd0599f3c96d456725471708068f6c0fc4b1 | a8478670fcc65ca034df8017083269cb37ebf8b0 | refs/heads/master | 2021-09-18T07:47:32.224981 | 2018-07-11T09:24:49 | 2018-07-11T09:24:49 | 111,611,930 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 369 | py | # http://www.hackerrank.com/contests/python-tutorial/challenges/python-integers-come-in-all-sizes
def solve(a, b, c, d):
"""
>>> solve(9, 29, 7, 27)
4710194409608608369201743232
"""
print(a ** b + c ** d)
if __name__ == "__main__":
a = int(input())
b = int(input())
c = int(input())
d = int(input())
print(solve(a, b, c, d))
| [
"[email protected]"
] | |
e70f14eb83da74ee83dd9e8854f5f79da094837c | fb783dda8d0ca34ad95d0c3f7ebbb6794a4b0467 | /ball.py | a2d479dde631ec996cf01de0feb2431d739b6875 | [] | no_license | Loai17/Y--Project | 967ec843ccc033fcdfdb59bd676adcfbea397446 | 155e9820bfa42c13e3dc7a82976146b1b86505ce | refs/heads/master | 2020-04-12T16:29:00.322136 | 2018-12-27T10:34:39 | 2018-12-27T10:34:39 | 162,613,892 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,014 | py | from turtle import *
class Ball(Turtle):
def __init__(self,x,y,dx,dy,r,color):
Turtle.__init__(self)
self.dx=dx
self.dy=dy
self.r=r
self.pu()
self.goto(x,y)
self.shape("circle")
self.shapesize(r*r)
self.color(color)
print(self.xcor())
print(self.ycor())
def move(self,screen_width,screen_height):
current_x = self.xcor()
new_x = current_x + self.dx
current_y = self.ycor()
new_y = current_y + self.dy
right_side_ball = new_x + self.r
left_side_ball = new_x - self.r
top_side_ball = new_y + self.r
bottom_side_ball = new_y - self.r
self.goto(new_x,new_y)
if (current_x >= screen_width/2):
self.dx = -self.dx
elif(current_x <= (-screen_width/2)):
self.dx = -self.dx
if(current_y >= screen_height/2):
self.dy = -self.dy
elif(current_y <= (-screen_height/2)):
self.dy = -self.dy
| [
"[email protected]"
] | |
aa2a8c8f570a1c0f44928db8d59780469b207993 | 4f97122844fb8cbaccf9ed9fa300a27a290d1a37 | /1/111.py | 0a46d7eb3eec2fe044cfcd027f9ffbf0dbd17e63 | [] | no_license | cq146637/Advanced | 52d97ab0f8e7ec85e6d81692e92bad967af066e6 | 18380e5c51124ef1e6d243ae216280b49edc7001 | refs/heads/master | 2020-03-22T03:05:02.960444 | 2018-07-02T08:30:27 | 2018-07-02T08:30:27 | 139,151,714 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 834 | py | __author__ = 'Cq'
from collections import deque
import pickle
from random import randint
import os
result = randint(1,100)
print("result is ",result)
deque1 = deque([],5)
if os.path.isfile("save.data"):
deque1 = pickle.load(open("save.data"))
while True:
k = input("\nplease input your guess number: ")
if k.isdigit():
k = int(k)
elif k == 'h' or k == 'H':
print("your input history is ",list(deque1))
else:
continue
if k != result:
if k > result:
print("your number is greater than result\n")
else:
print("your number is less than result\n")
deque1.append(k)
else:
print("It was good result...")
deque1.append(k)
break
if k == 100:
break
f = open("save.data",'w')
pickle.dump(deque1, f) | [
"[email protected]"
] | |
4148ba0011b8da0c23ac14048f68d96a7d5a144f | ed7f2c5c235d1a3beca2ad78f8ef6eecd9afeea6 | /src/motors.py | d32ecdccd49447815025fb0116e63b984bb1da0e | [] | no_license | mvwicky/roboSim | 8f48bdfa291cfe6abc1c6a7294c7ab59161e3304 | c4d5d5f641ed976c71a591085019fcedc2ec3a5a | refs/heads/master | 2016-09-10T10:40:11.235120 | 2014-08-19T18:51:06 | 2014-08-19T18:51:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,741 | py | import os
import sys
import random
import math
import utilFunctions as utlF
class motor(object):
"""Generic motor object"""
def __init__(self,port,wheelRad=0,ticks=1000,tolerance=0,sprite=None):
"""port:which port the motor is in
wheelRad:the radius of the attached wheel
if not a drive motor: wheelRad=0
ticks:number of ticks per revolution
tolerance:
sprite:path to the sprite
"""
self.port=port
self.positon=0
self.wheelRad=wheelRad
self.ticks=ticks
self.lastSpeed=0
self.currentSpeed=0
#self.distPerTick
self.context=None
if sprite==None:
pass
elif sprite!=None and type(sprite)!=utlF.sprite:
print("Invalid sprite")
elif sprite!=None and type(sprite)==utlF.sprite:
self.sprite=sprite
self.tolerance=tolerance
def update(self):
if self.context==None:
print("Context not defined")
return -1
else:
pass
def draw(self):
pass
def moveAtVelocity(self,velocity):
self.currentSpeed=velocity
return 0
def moveRelativePosition(self,velocity,delta):
pass
def moveToPosition(self,velocity,position):
pass
def moveAngleDeg(self,velocity,theta):
pass
def moveAngleRad(self,velocity,theta):
pass
def getPosition(self):
pass
def forward(self):
pass
def off(self):
pass
def zeroMotor(self):
"""Sets the motor position back to zero"""
pass
def mav(self,velocity):
return self.moveAtVelocity(velocity)
def mrp(self,velocity,position):
return self.moveRelativePosition(velocity,position)
def mtp(self,velocity,position):
return self.moveToPosition(velocity,position)
def mad(self,velocity,theta):
return self.moveAngleDeg(velocity,theta)
def mar(self,velocity,theta):
return self.moveAngleRad(velocity,theta) | [
"[email protected]"
] | |
2ea42ed75506284aeaca6832127c5ac1f95139ab | c23b4c6253ca5a0d42822dd0d28ffa752c11ebf5 | /exercises/c3ec2a04-cbca-459a-951f-f17cc34310c7/skeletons/8fd3c5ac-35d2-40cd-9d21-77a4a6671d7c/skeleton4.py3 | e2a36f52de4511c924c13798bc533064cd0477c9 | [] | no_license | josepaiva94/e57d8867-6234-41a6-b239-2cd978ad1e70 | 803e2eb1e2db23c64409bc72ff00c4463875a82f | aa270941dd8cf7b2e1ec8ac89445b1ab3a47f89d | refs/heads/master | 2023-01-07T10:49:56.871378 | 2020-11-16T11:28:14 | 2020-11-16T11:28:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py3 | if largest != root_index:
nums[root_index], nums[largest] = nums[largest], nums[root_index]
heapify(nums, heap_size, largest)
| [
"[email protected]"
] | |
b8b5d53aedd215e4c38db5455b764f4b73bb83b5 | 3420aba3622faf2d4aede984c656f68ad24a1f3c | /backend/personal_care_22730/settings.py | 230da7088fe365290e5935afd842c015a2ea9d7d | [] | no_license | crowdbotics-apps/personal-care-22730 | bb81af122e64cb58f6d52df31df328b6dfa4b25d | 066d2cd5e890057df054ea7c5b3b5f061e872371 | refs/heads/master | 2023-01-11T06:30:05.971088 | 2020-11-18T16:23:30 | 2020-11-18T16:23:30 | 313,990,783 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,048 | py | """
Django settings for personal_care_22730 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
import environ
import logging
env = environ.Env()
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = env.bool("DEBUG", default=False)
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = env.str("SECRET_KEY")
ALLOWED_HOSTS = env.list("HOST", default=["*"])
SITE_ID = 1
SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
SECURE_SSL_REDIRECT = env.bool("SECURE_REDIRECT", default=False)
# Application definition
INSTALLED_APPS = [
"django.contrib.admin",
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.messages",
"django.contrib.staticfiles",
"django.contrib.sites",
"healthcare",
]
LOCAL_APPS = [
"home",
"users.apps.UsersConfig",
]
THIRD_PARTY_APPS = [
"rest_framework",
"rest_framework.authtoken",
"rest_auth",
"rest_auth.registration",
"bootstrap4",
"allauth",
"allauth.account",
"allauth.socialaccount",
"allauth.socialaccount.providers.google",
"django_extensions",
"drf_yasg",
"storages",
# start fcm_django push notifications
"fcm_django",
# end fcm_django push notifications
]
INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS
MIDDLEWARE = [
"django.middleware.security.SecurityMiddleware",
"django.contrib.sessions.middleware.SessionMiddleware",
"django.middleware.common.CommonMiddleware",
"django.middleware.csrf.CsrfViewMiddleware",
"django.contrib.auth.middleware.AuthenticationMiddleware",
"django.contrib.messages.middleware.MessageMiddleware",
"django.middleware.clickjacking.XFrameOptionsMiddleware",
]
ROOT_URLCONF = "personal_care_22730.urls"
TEMPLATES = [
{
"BACKEND": "django.template.backends.django.DjangoTemplates",
"DIRS": [],
"APP_DIRS": True,
"OPTIONS": {
"context_processors": [
"django.template.context_processors.debug",
"django.template.context_processors.request",
"django.contrib.auth.context_processors.auth",
"django.contrib.messages.context_processors.messages",
],
},
},
]
WSGI_APPLICATION = "personal_care_22730.wsgi.application"
# Database
# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME": os.path.join(BASE_DIR, "db.sqlite3"),
}
}
if env.str("DATABASE_URL", default=None):
DATABASES = {"default": env.db()}
# Password validation
# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
},
{
"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator",
},
{
"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator",
},
{
"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator",
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.2/topics/i18n/
LANGUAGE_CODE = "en-us"
TIME_ZONE = "UTC"
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.2/howto/static-files/
STATIC_URL = "/static/"
MIDDLEWARE += ["whitenoise.middleware.WhiteNoiseMiddleware"]
AUTHENTICATION_BACKENDS = (
"django.contrib.auth.backends.ModelBackend",
"allauth.account.auth_backends.AuthenticationBackend",
)
STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles")
STATICFILES_DIRS = [os.path.join(BASE_DIR, "static")]
STATICFILES_STORAGE = "whitenoise.storage.CompressedManifestStaticFilesStorage"
# allauth / users
ACCOUNT_EMAIL_REQUIRED = True
ACCOUNT_AUTHENTICATION_METHOD = "email"
ACCOUNT_USERNAME_REQUIRED = False
ACCOUNT_EMAIL_VERIFICATION = "optional"
ACCOUNT_CONFIRM_EMAIL_ON_GET = True
ACCOUNT_LOGIN_ON_EMAIL_CONFIRMATION = True
ACCOUNT_UNIQUE_EMAIL = True
LOGIN_REDIRECT_URL = "users:redirect"
ACCOUNT_ADAPTER = "users.adapters.AccountAdapter"
SOCIALACCOUNT_ADAPTER = "users.adapters.SocialAccountAdapter"
ACCOUNT_ALLOW_REGISTRATION = env.bool("ACCOUNT_ALLOW_REGISTRATION", True)
SOCIALACCOUNT_ALLOW_REGISTRATION = env.bool("SOCIALACCOUNT_ALLOW_REGISTRATION", True)
REST_AUTH_SERIALIZERS = {
# Replace password reset serializer to fix 500 error
"PASSWORD_RESET_SERIALIZER": "home.api.v1.serializers.PasswordSerializer",
}
REST_AUTH_REGISTER_SERIALIZERS = {
# Use custom serializer that has no username and matches web signup
"REGISTER_SERIALIZER": "home.api.v1.serializers.SignupSerializer",
}
# Custom user model
AUTH_USER_MODEL = "users.User"
EMAIL_HOST = env.str("EMAIL_HOST", "smtp.sendgrid.net")
EMAIL_HOST_USER = env.str("SENDGRID_USERNAME", "")
EMAIL_HOST_PASSWORD = env.str("SENDGRID_PASSWORD", "")
EMAIL_PORT = 587
EMAIL_USE_TLS = True
# AWS S3 config
AWS_ACCESS_KEY_ID = env.str("AWS_ACCESS_KEY_ID", "")
AWS_SECRET_ACCESS_KEY = env.str("AWS_SECRET_ACCESS_KEY", "")
AWS_STORAGE_BUCKET_NAME = env.str("AWS_STORAGE_BUCKET_NAME", "")
AWS_STORAGE_REGION = env.str("AWS_STORAGE_REGION", "")
USE_S3 = (
AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
and AWS_STORAGE_BUCKET_NAME
and AWS_STORAGE_REGION
)
if USE_S3:
AWS_S3_CUSTOM_DOMAIN = env.str("AWS_S3_CUSTOM_DOMAIN", "")
AWS_S3_OBJECT_PARAMETERS = {"CacheControl": "max-age=86400"}
AWS_DEFAULT_ACL = env.str("AWS_DEFAULT_ACL", "public-read")
AWS_MEDIA_LOCATION = env.str("AWS_MEDIA_LOCATION", "media")
AWS_AUTO_CREATE_BUCKET = env.bool("AWS_AUTO_CREATE_BUCKET", True)
DEFAULT_FILE_STORAGE = env.str(
"DEFAULT_FILE_STORAGE", "home.storage_backends.MediaStorage"
)
MEDIA_URL = "/mediafiles/"
MEDIA_ROOT = os.path.join(BASE_DIR, "mediafiles")
# start fcm_django push notifications
FCM_DJANGO_SETTINGS = {"FCM_SERVER_KEY": env.str("FCM_SERVER_KEY", "")}
# end fcm_django push notifications
# Swagger settings for api docs
SWAGGER_SETTINGS = {
"DEFAULT_INFO": f"{ROOT_URLCONF}.api_info",
}
if DEBUG or not (EMAIL_HOST_USER and EMAIL_HOST_PASSWORD):
# output email to console instead of sending
if not DEBUG:
logging.warning(
"You should setup `SENDGRID_USERNAME` and `SENDGRID_PASSWORD` env vars to send emails."
)
EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
| [
"[email protected]"
] | |
52bc7632cb2fb0f992aefdbbb894875a1607ea42 | 508321d683975b2339e5292202f3b7a51bfbe22d | /Userset.vim/ftplugin/python/CompletePack/maya/app/renderSetup/model/collection.py | 6f5c78e3c5ec754621968564b253a3121787e876 | [] | no_license | cundesi/vimSetSa | 4947d97bcfe89e27fd2727423112bb37aac402e2 | 0d3f9e5724b471ab21aa1199cc3b4676e30f8aab | refs/heads/master | 2020-03-28T05:54:44.721896 | 2018-08-31T07:23:41 | 2018-08-31T07:23:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 54,254 | py | """Collection node class and utility functions.
This module provides the collection class, as well as utility
functions to operate on collections.
The collection owns its associated selector node: on collection
delete, the collection is deleted as well.
Conceptually, a collection fulfills four roles in render setup:
1) It is a container of overrides. If enabled, the collection will
apply all its enabled overrides on nodes it selects (see (2)).
2) It selects nodes onto which overrides will be applied. These nodes
can be DAG or DG nodes.
3) It is a container of child collections. Child collections always
select nodes based on their parent's selected nodes (see (2)).
4) It defines render layer membership. Members of a render layer can
only be DAG nodes. These are always a subset of the nodes selected
by the collection (see (2)). The members of the render layer are the
union of the top-level collection members; children collections can
exclude or re-include members. See RenderLayer.getMembers for more
details (including the effect of isolate select mode).
The application of overrides only obeys enabled / disabled status.
Render layer membership is determined from enabled / disabled, in
conjunction with isolate select."""
import maya
maya.utils.loadStringResourcesForModule(__name__)
import re
import maya.cmds as cmds
import maya.api.OpenMaya as OpenMaya
import maya.app.renderSetup.model.nodeList as nodeList
import maya.app.renderSetup.model.utils as utils
import maya.app.renderSetup.model.plug as plug
import maya.app.renderSetup.model.typeIDs as typeIDs
import maya.app.renderSetup.model.selector as selector
import maya.app.renderSetup.model.undo as undo
import maya.app.renderSetup.model.override as override
import maya.app.renderSetup.model.overrideUtils as overrideUtils
import maya.app.renderSetup.model.childNode as childNode
import maya.app.renderSetup.model.enabled as computeEnabled
import maya.app.renderSetup.model.namespace as namespace
import maya.app.renderSetup.model.renderSettings as renderSettings
import maya.app.renderSetup.model.rendererCallbacks as rendererCallbacks
import maya.app.renderSetup.model.traverse as traverse
from maya.app.renderSetup.model.renderLayerSwitchObservable import RenderLayerSwitchObservable
import maya.app.renderSetup.model.clipboardData as clipboardData
import maya.app.renderSetup.common.utils as commonUtils
import maya.app.renderSetup.common.profiler as profiler
import maya.app.renderSetup.common.guard as guard
import maya.app.renderSetup.model.context as context
import maya.app.renderSetup.model.jsonTranslatorUtils as jsonTranslatorUtils
import maya.app.renderSetup.model.jsonTranslatorGlobals as jsonTranslatorGlobals
# List all error messages below
kInvalidChildName = maya.stringTable['y_collection.kInvalidChildName' ]
kUnknownChild = maya.stringTable['y_collection.kUnknownChild' ]
kOverrideCreationFailed = maya.stringTable['y_collection.kOverrideCreationFailed' ]
kCollectionMissingSelector = maya.stringTable['y_collection.kCollectionMissingSelector' ]
kRendererMismatch = maya.stringTable['y_collection.kRendererMismatch' ]
kIncorrectChildType = maya.stringTable['y_collection.kIncorrectChildType' ]
# List of undo messages
kChildAttached = maya.stringTable['y_collection.kChildAttached' ]
kChildDetached = maya.stringTable['y_collection.kChildDetached' ]
kSet = maya.stringTable['y_collection.kSet' ]
def collections(c):
return c.getCollections()
class Collection(nodeList.ListBase, childNode.TreeOrderedItem,
childNode.ChildNode):
"""
Collection node.
A collection has an ordered list of children, and a selector to
determine nodes to which the children apply.
MAYA-59277:
- When we start implementing proper hierarchical collections we
need to decide on the relationship between parent and child
selectors. Do we always consider a parent collection to be the
union of its child collections, and propagate the selector
information upwards when a child collection is added or changed?
Or do we go the opposite direction and restrict the child collection
to use the intersection between its selector and its parent's selector?
- Light child collections always have a single light source member.
We should utilize this and create a specific selector for such
use cases for better performance.
"""
kTypeId = typeIDs.collection
kTypeName = 'collection'
# Attributes for collection as list of children.
#
# Connections to lowest-priority and highest-priority child
# on children linked list. The lowest-priority child
# is considered to be the front of the list, and the highest-priority
# child the back of the list.
childLowest = OpenMaya.MObject()
childHighest = OpenMaya.MObject()
# Connection to all children in the list.
children = OpenMaya.MObject()
# Attribute for message connection to selector node associated with the
# collection. This attribute is a destination, as only one selector
# can be associated with each collection.
aSelector = OpenMaya.MObject()
# Enabled behavior. See enabled module for documentation.
enabled = OpenMaya.MObject()
selfEnabled = OpenMaya.MObject()
parentEnabled = OpenMaya.MObject()
# isolateSelected flag as attribute
isolateSelected = OpenMaya.MObject()
# The number of isolate selected children in a collection's subtree.
numIsolatedChildren = OpenMaya.MObject()
# The number of isolate selected ancestors of this collection.
numIsolatedAncestors = OpenMaya.MObject()
# the SimpleSelector is the default.
kDefaultSelectorTypeName = selector.SimpleSelector.kTypeName
@staticmethod
def creator():
return Collection()
@staticmethod
def initializer():
# A collection is a render layer list element.
# inheritAttributesFrom() must be called before adding any other
# attributes.
Collection.inheritAttributesFrom(nodeList.ListItem.kTypeName)
# A collection is a list of children.
Collection.children = Collection.initListItems()
Collection.childLowest = utils.createDstMsgAttr(
'childLowest', 'cl')
Collection.addAttribute(Collection.childLowest)
Collection.childHighest = utils.createDstMsgAttr(
'childHighest', 'ch')
Collection.addAttribute(Collection.childHighest)
Collection.aSelector = utils.createDstMsgAttr('selector', 'sel')
Collection.addAttribute(Collection.aSelector)
# Set up enabled attribute.
computeEnabled.initializeAttributes(Collection)
# Add isolateSelected attribute
Collection.numIsolatedChildren = computeEnabled.createNumIsolatedChildrenAttribute()
Collection.addAttribute(Collection.numIsolatedChildren)
Collection.numIsolatedAncestors = computeEnabled.createHiddenIntAttribute(
"numIsolatedAncestors", "nia")
Collection.addAttribute(Collection.numIsolatedAncestors)
# Add isolateSelected attribute
numAttrFn = OpenMaya.MFnNumericAttribute()
Collection.isolateSelected = numAttrFn.create("isolateSelected", "is", OpenMaya.MFnNumericData.kBoolean, 0)
numAttrFn.storable = True
numAttrFn.keyable = False
numAttrFn.readable = True
numAttrFn.writable = True
numAttrFn.hidden = True
OpenMaya.MPxNode.addAttribute(Collection.isolateSelected)
Collection.attributeAffects(Collection.numIsolatedChildren, Collection.enabled)
Collection.attributeAffects(Collection.numIsolatedAncestors, Collection.enabled)
Collection.attributeAffects(Collection.isolateSelected, Collection.enabled)
def __init__(self):
super(Collection, self).__init__()
self._enabledDirty = False
self._callbackIds = []
def postConstructor(self):
# Call parent class postConstructor
super(Collection, self).postConstructor()
# Listen to changes in the enabled attribute.
self._callbackIds = computeEnabled.addChangeCallbacks(self)
def typeId(self):
return Collection.kTypeId
def typeName(self):
return Collection.kTypeName
def _createSelector(self, parent=None, selArgs=None):
"""Create a selector node, and attach it to the collection.
parent is an optional parent collection. This method must be
overridden by derived classes."""
self.setSelectorType(parent.getSelector().kTypeName if parent else \
self.kDefaultSelectorTypeName)
if parent:
self.getSelector().minimalClone(parent.getSelector())
def _createAndConnectSelector(self, typeName, selArgs=None):
"""Engine method for _createSelector.
selArgs is an optional dictionary passed to _createSelectorNode."""
newSelector = self._createSelectorNode(
typeName, self.name()+'Selector', selArgs)
cmds.connectAttr(newSelector + '.c', self.name() + '.selector')
def _createSelectorNode(self, typeName, selectorName, selArgs):
"""Create the selector node.
Can be overridden by derived classes."""
return cmds.createNode(typeName, name=selectorName, skipSelect=True)
def getSelectorType(self):
try: return self.getSelector().kTypeName
except: return None
def setSelectorType(self, typeName):
'''Sets the selector type of this collection.'''
if self.getSelectorType() == typeName:
return
with undo.NotifyCtxMgr("Set selector type", self._selectorChanged):
children = [child for child in self.getChildren() if isinstance(child, Collection)]
# need to disconnect all selector children
# otherwise they get deleted along with their parent selector
for child in children:
child.getSelector().setParent(None)
try: self._deleteSelector()
except: pass
self._createAndConnectSelector(typeName)
parent = self.parent()
selector = self.getSelector()
if isinstance(parent, Collection):
selector.setParent(parent.getSelector())
for child in children:
child.getSelector().setParent(selector)
def _deleteSelector(self):
selector = self.getSelector()
cmds.disconnectAttr(selector.name() + '.c', self.name() + '.selector')
utils.deleteNode(selector)
def _getInputAttr(self, attr, dataBlock=None):
return dataBlock.inputValue(attr) if dataBlock else OpenMaya.MPlug(self.thisMObject(), attr)
def _getSelfEnabledPlug(self):
return OpenMaya.MPlug(self.thisMObject(), Collection.selfEnabled)
def _getIsolatePlug(self):
return OpenMaya.MPlug(self.thisMObject(), Collection.isolateSelected)
def hasIsolatedAncestors(self, dataBlock=None):
return self._getInputAttr(self.numIsolatedAncestors, dataBlock).asInt() > 0
def hasIsolatedChildren(self, dataBlock=None):
return self._getInputAttr(self.numIsolatedChildren, dataBlock).asInt() > 0
def compute(self, plug, dataBlock):
if plug == self.enabled:
# We are enabled if:
#
# o The normal enabled computation is true (self enabled is true AND
# parent enabled is true).
#
# AND
#
# o We're in batch mode OR
# o No node is isolated OR
# o This node is isolated OR
# o This node has isolate selected children OR
# o This node has isolate selected ancestors.
#
value = computeEnabled.computeEnabled(self, dataBlock) and \
(cmds.about(batch=True) or \
dataBlock.inputValue(self.layerNumIsolatedChildren).asInt()==0 or \
self.isIsolateSelected(dataBlock) or \
self.hasIsolatedAncestors(dataBlock) or \
self.hasIsolatedChildren(dataBlock))
computeEnabled.setEnabledOutput(self, dataBlock, value)
def enabledChanged(self):
layer = self.getRenderLayer()
if layer:
layer._enabledChanged(self)
self.itemChanged()
def isEnabled(self, dataBlock=None):
return self._getInputAttr(self.enabled, dataBlock).asBool()
def isSelfEnabled(self, dataBlock=None):
return self._getInputAttr(self.selfEnabled, dataBlock).asBool()
def setSelfEnabled(self, value):
if value != self.isSelfEnabled():
# pulling isEnabled will trigger enabledChanged
# (no matter if enable output value has changed or not)
with undo.NotifyCtxMgr("Set Override Enabled",self.isEnabled):
cmds.setAttr(self.name()+".selfEnabled", 1 if value else 0)
@guard.state(computeEnabled.isPulling, computeEnabled.setPulling, True)
def pullEnabled(self):
# This will force pulling the enabled plug on overrides. It solves
# the problem of connection overrides not being applied / unapplied
# when not visible in the RenderSetup window; being visible in the
# RenderSetup window causes enabled to be pulled.
#
# Connection overrides are not part of the network; they are a
# procedure that must be run on enable change to modify the
# network. Therefore, the enabled plug is not pulled, contrary to
# value overrides that get inserted in the network, and thus we
# need to force the plug to be pulled.
# Two phase procedure to avoid DG cycle check warnings. First,
# pull on enabled output of connection overrides.
needsUpdate = set()
for n in traverse.depthFirst(self, traverse.nodeListChildren):
if isinstance(n, override.Override) and n.updateOnEnabledChanged():
# Call isEnabled to force computation of the enabled output.
n.isEnabled()
needsUpdate.add(n)
# Second, update the connection override. This will iterate over
# the connection override apply nodes, which query the connection
# override enabled state we've finished computing above. Had we
# done the override enabled computation and the update in the same
# call, we would have gotten a DG evaluation cycle (compute
# enabled, cause update, which queries enabled).
for o in needsUpdate:
o.update()
def getRenderLayer(self):
# For hierarchical collections the parent
# could be another collection, otherwise
# the parent is always the render layer
parent = self.parent()
if isinstance(parent, Collection):
return parent.getRenderLayer()
return parent
def isolateSelectedChanged(self):
layer = self.getRenderLayer()
if layer:
layer._isolateSelectedChanged(self)
def isIsolateSelected(self, dataBlock=None):
""" Get if isolate selected. Will always return False in batch mode """
return False if cmds.about(batch=True) else self._getInputAttr(self.isolateSelected, dataBlock).asBool()
def setIsolateSelected(self, val):
if val!=self.isIsolateSelected() and not cmds.about(batch=True):
with undo.NotifyCtxMgr(kSet % (self.name(), 'isolateSelected', val), self.isolateSelectedChanged):
# Use a command to support the undo mechanism
cmds.setAttr(self._getIsolatePlug().name(), val)
self._updateIsolateSelected(1 if val else -1)
def _findSubcollectionForType(self, typeName):
'''Finds the subcollection of this collection that will handle that typeName
or creates it and returns it if it doesn't exist.'''
filterType, customFilter = selector.Filters.getFiltersFor(typeName)
def predicate(child):
if not isinstance(child, Collection):
return False
sel = child.getSelector()
return sel.kTypeName == selector.SimpleSelector.kTypeName and \
sel.getPattern() == "*" and \
len(sel.staticSelection) == 0 and \
sel.getFilterType() == filterType and \
(filterType != selector.Filters.kCustom or sel.getCustomFilterValue() == customFilter)
def creator():
name = self.name() + "_" + selector.Filters.names.get(filterType, customFilter)
col = create(name)
col.setSelectorType(selector.SimpleSelector.kTypeName)
sel = col.getSelector()
sel.setPattern('*')
sel.setFilterType(filterType)
sel.setCustomFilterValue(customFilter)
return col
return self.findChild(predicate, creator)
@undo.chunk('Create and append an override')
def createOverride(self, overrideName, overrideType):
""" Add an override to the Collection using its node type id or type name."""
# Note: No need to propagate the change notification
# as an empty override does not affect the collection
over = override.create(overrideName, overrideType)
if not over:
raise Exception(kOverrideCreationFailed % overrideName)
# special handle for shader override as they apply to shading engines
# => create subcollection of shading engines if we're in a dag only collection
from maya.app.renderSetup.model.connectionOverride import ShaderOverride
if over.typeId() != typeIDs.shaderOverride or \
self.getSelector().acceptsType('shadingEngine'):
self.appendChild(over)
else:
self._findSubcollectionForType('shadingEngine').appendChild(over)
return over
def _getOverrideType(self, plg, overrideType):
'''Returns the override type that should be created for the given
plg in the given collection (self). Overrides that can't be relative will become absolute.'''
return plg.overrideType(overrideType)
@undo.chunk('Create and append an override')
def _createOverride(self, plg, overrideType):
over = override.create(plg.attributeName, self._getOverrideType(plg, overrideType))
if not over:
raise Exception(kOverrideCreationFailed % attrName)
over.finalize(plg.name)
typeName = OpenMaya.MFnDependencyNode(plg.node()).typeName
collection = self if self.getSelector().acceptsType(typeName) else \
self._findSubcollectionForType(typeName)
collection.appendChild(over)
return over
@undo.chunk('Create and append an absolute override')
def createAbsoluteOverride(self, nodeName, attrName):
""" Add an absolute override to a collection """
return self._createOverride(plug.Plug(nodeName,attrName), typeIDs.absOverride)
@undo.chunk('Create and append a relative override')
def createRelativeOverride(self, nodeName, attrName):
""" Add a relative override to a collection """
return self._createOverride(plug.Plug(nodeName,attrName), typeIDs.relOverride)
@undo.chunk('Create and append a child collection')
def _createCollection(self, collectionName, typeName):
col = create(collectionName, typeName, parent=self)
self.appendChild(col)
return col
def createCollection(self, collectionName):
""" Add a child collection to the Collection. """
return self._createCollection(collectionName, Collection.kTypeName)
def _childAttached(self, child):
'''Perform work to attach a child.
The child has already been added to collection's list when this
method is called.'''
with undo.NotifyCtxMgr(kChildAttached % (self.name(), child.name()), self.itemChanged):
# Once inserted, hook up the child's parentEnabled input to our
# enabled output. Use existing command for undo / redo purposes.
cmds.connectAttr(self.name() + '.enabled',
child.name() + '.parentEnabled')
if isinstance(child, Collection):
child.getSelector().setParent(self.getSelector())
child._attach(self.getRenderLayer())
layer = self.getRenderLayer()
if layer:
layer.descendantAdded(child)
def _detachChild(self, child):
'''Perform work to detach a child.
The child has not yet been removed from the collection's list when
this method is called.'''
with undo.NotifyCtxMgr(kChildDetached % (self.name(), child.name()), self.itemChanged):
# Disconnect the child's parentEnabled input from our enabled
# output. Use existing command for undo / redo purposes.
childParentEnabled = child.name() + '.parentEnabled'
cmds.disconnectAttr(self.name() + '.enabled', childParentEnabled)
# Child parentEnabled will retain its last value, so set it
# to True in case the collection gets parented to the render layer.
cmds.setAttr(childParentEnabled, 1)
if isinstance(child, Collection):
child.getSelector().setParent(None)
child._detach(self.getRenderLayer())
def _attach(self, layer):
"""Attach this collection."""
self._connectLayerIsolatedChildren(layer)
# Number of isolated children doesn't change when we attach.
# Update isolated children of our ancestors.
self._updateAncestorsIsolatedChildren(
self.getNumIsolatedChildren(includeSelf=True))
# Update isolated ancestors of ourselves and our children.
self._updateChildrenIsolatedAncestors(
self.getNumIsolatedAncestors(), includeSelf=True)
def _detach(self, layer):
"""Detach this collection."""
self._disconnectLayerIsolatedChildren(layer)
# Number of isolated children doesn't change when we detach.
# Update isolated children of our ancestors.
self._updateAncestorsIsolatedChildren(
-self.getNumIsolatedChildren(includeSelf=True))
# Update isolated ancestors of ourselves and our children.
self._updateChildrenIsolatedAncestors(
-self.getNumIsolatedAncestors(), includeSelf=True)
@undo.chunk('Append to collection')
def appendChild(self, child):
""" Add a child as the highest-priority child."""
if child.typeId()==RenderSettingsCollection.kTypeId \
or child.typeId()==LightsCollection.kTypeId:
raise RuntimeError(kIncorrectChildType % child.typeName())
nodeList.append(self, child)
self._childAttached(child)
@undo.chunk('Attach to collection')
def attachChild(self, pos, child):
""" Attach a child at a specific position. """
if child.typeId()==RenderSettingsCollection.kTypeId \
or child.typeId()==LightsCollection.kTypeId:
raise RuntimeError(kIncorrectChildType % child.typeName())
nodeList.insert(self, pos, child)
self._childAttached(child)
@undo.chunk('Detach from collection')
def detachChild(self, child):
""" Detach a child whatever its position. """
unapply(child) # NoOp if not applied; otherwise commands are used
# Must perform detach operations before removing from list,
# otherwise parenting information is gone.
self._detachChild(child)
nodeList.remove(self, child)
def getChildren(self, cls=childNode.ChildNode):
""" Get the list of all children.
Optionally only the children matching the given class. """
return list(nodeList.forwardListNodeClassGenerator(self, cls))
def hasChildren(self):
return self.findChild(lambda child: True) is not None
def getCollections(self):
return self.getChildren(cls=Collection)
def getCollectionByName(self, collectionName, nested=False):
for collection in nodeList.forwardListNodeClassGenerator(self, cls=Collection):
if collection.name() == collectionName:
return collection
elif nested:
collection2 = collection.getCollectionByName(collectionName, True)
if collection2:
return collection2
return None
def findChild(self, predicate, creator=None):
'''Find the child of this collection satisfying the predicate function or creates it
with the creator function if not found and a creator function is specified.
Function signatures are:
predicate(childNode): returns boolean.
creator(void) : returns the created node.'''
for child in nodeList.forwardListNodeClassGenerator(self, childNode.ChildNode):
if predicate(child):
return child
if not creator:
return None
child = creator()
self.appendChild(child)
return child
def getChild(self, childName, cls=childNode.ChildNode):
""" Look for an existing child by name and optionally class.
@type childName: string
@param childName: Name of child to look for
@type cls: class name
@param cls: Class name for the type of class to look for
@rtype: Child model instance
@return: Found instance or throw an exception
"""
if not childName:
raise Exception(kInvalidChildName)
for child in nodeList.forwardListNodeClassGenerator(self, cls):
if child.name() == childName:
return child
raise Exception(kUnknownChild % (childName, self.name()))
def isAbstractClass(self):
# Override method inherited from base class: not an abstract class.
return False
def getSelector(self):
"""Return the selector user node for this collection."""
selector = utils.getSrcUserNode(
utils.findPlug(self, Collection.aSelector))
if (selector is None):
raise Exception(kCollectionMissingSelector % self.name())
return selector
@context.applyCollection
def apply(self):
""" Apply all children in this collection. """
with profiler.ProfilerMgr('Collection::apply'):
# Apply all our children to the selection
for child in nodeList.forwardListGenerator(self):
child.apply()
# UI Feedback (progressBar)
RenderLayerSwitchObservable.getInstance().notifyRenderLayerSwitchObserver()
@context.applyCollection
def postApply(self):
'''Post applies all children in this collection. This function may be called to apply a collection (with contained overrides)
after the layer was set visible. It allows inserting new overrides in the currently visible layer
without the need to toggle visibility.'''
with profiler.ProfilerMgr('Collection::postApply'):
# Post apply all our children
for child in nodeList.forwardListGenerator(self):
child.postApply()
@context.unapplyCollection
def unapply(self):
"""Unapply all children in this collection."""
with profiler.ProfilerMgr('Collection::unapply'):
for child in nodeList.reverseListGenerator(self):
child.unapply()
# UI Feedback (progressBar)
RenderLayerSwitchObservable.getInstance().notifyRenderLayerSwitchObserver()
def getOverrides(self):
return self.getChildren(cls=override.Override)
# Collection interface as list of children.
# These methods implement the list requirements for the nodeList module.
#
# The list front and back are destination plugs connected to the child
# node's message plug (which is a source).
def _getFrontAttr(self):
return Collection.childLowest
def _getBackAttr(self):
return Collection.childHighest
def _getListItemsAttr(self):
return Collection.children
def _preChildDelete(self, child):
# Private interface for child to inform its parent that it is
# about to be deleted. Remove the child from our list.
self.detachChild(child)
def _selectedNodesChanged(self):
""" Ownership of this collection or one of its children changed """
layer = self.getRenderLayer()
if layer:
layer._selectedNodesChanged(self)
self.itemChanged()
def _selectorChanged(self):
"""Selector of this collection changed.
Identical to _selectedNodesChanged(), except that the itemChanged()
notification is given with selectorChanged=True."""
layer = self.getRenderLayer()
if layer:
layer._selectedNodesChanged(self)
self.itemChanged(selectorChanged=True)
def _refreshRendering(self):
''' Some changes impose to refresh the rendering for the visible layer only. '''
parent = self.parent()
if parent:
parent._refreshRendering()
def getLayerNumIsolatedChildren(self):
return OpenMaya.MPlug(
self.thisMObject(), Collection.layerNumIsolatedChildren).asInt()
def _getNumIsolatedChildrenPlug(self):
return OpenMaya.MPlug(self.thisMObject(), Collection.numIsolatedChildren)
def getNumIsolatedChildren(self, includeSelf=False):
nic = self._getNumIsolatedChildrenPlug().asInt()
if includeSelf and self.isIsolateSelected():
nic += 1
return nic
def _getNumIsolatedAncestorsPlug(self):
return OpenMaya.MPlug(self.thisMObject(), Collection.numIsolatedAncestors)
def getNumIsolatedAncestors(self):
return self._getNumIsolatedAncestorsPlug().asInt()
# See comments in RenderLayer._updateIsolateSelected.
def _updateNumIsolatedChildren(self, val):
# Use a command to support the undo mechanism
if val != 0:
newVal = self.getNumIsolatedChildren() + val
cmds.setAttr(self._getNumIsolatedChildrenPlug().name(), newVal)
def _updateNumIsolatedAncestors(self, val):
# Use a command to support the undo mechanism
if val != 0:
newVal = self.getNumIsolatedAncestors() + val
cmds.setAttr(self._getNumIsolatedAncestorsPlug().name(), newVal)
def _updateIsolateSelected(self, val):
self._updateAncestorsIsolatedChildren(val)
self._updateChildrenIsolatedAncestors(val)
def _updateAncestorsIsolatedChildren(self, val):
layer = self.getRenderLayer()
if layer:
layer._updateIsolateSelected(val)
for c in self.ancestorCollections():
c._updateNumIsolatedChildren(val)
def _updateChildrenIsolatedAncestors(self, val, includeSelf=False):
# Tell descendants there has been a change in their ancestors'
# isolate select.
for c in traverse.depthFirst(self, collections):
if c is self and not includeSelf:
continue
c._updateNumIsolatedAncestors(val)
def _connectLayerIsolatedChildren(self, layer):
# Connect subtree to layer's isolated children attribute.
if layer:
for c in traverse.depthFirst(self, collections):
c._connectSelfLayerIsolatedChildren(layer)
def _disconnectLayerIsolatedChildren(self, layer):
# Disconnect subtree from layer's isolated children attribute.
if layer:
for c in traverse.depthFirst(self, collections):
c._disconnectSelfLayerIsolatedChildren(layer)
def _connectSelfLayerIsolatedChildren(self, layer):
if layer:
# Use existing command for undo / redo purposes.
cmds.connectAttr(layer.name() + '.numIsolatedChildren',
self.name() + '.parentNumIsolatedChildren')
def _disconnectSelfLayerIsolatedChildren(self, layer):
if layer:
# Use existing command for undo / redo purposes.
cmds.disconnectAttr(layer.name() + '.numIsolatedChildren',
self.name() + '.parentNumIsolatedChildren')
def _importChild(self, childName, nodeType, selArgs=None):
name = cmds.createNode(nodeType, name=childName, skipSelect=True)
child = utils.nameToUserNode(name)
if isinstance(child, Collection):
child._createSelector(None, selArgs)
self.appendChild(child)
return child
def activate(self):
'''
Called when this list item is inserted into the list.
Override this method to do any scene specific initialization.
'''
if len(self._callbackIds) == 0:
self._callbackIds = computeEnabled.addChangeCallbacks(self)
self.getSelector().activate()
def deactivate(self):
'''
Called when this list item is removed from the list.
Override this method to do any scene specific teardown.
'''
# Remove all callbacks.
OpenMaya.MMessage.removeCallbacks(self._callbackIds)
self._callbackIds = []
self.getSelector().deactivate()
def _encodeProperties(self, dict):
super(Collection, self)._encodeProperties(dict)
dict[self._getSelfEnabledPlug().partialName(useLongNames=True)] = self.isEnabled()
dict[self._getIsolatePlug().partialName(useLongNames=True)] = self.isIsolateSelected()
if self.getSelectorType() == selector.BasicSelector.kTypeName: # backward comp with 2016 R2
selectorDict = dict
else:
selectorDict = {}
dict[jsonTranslatorGlobals.SELECTOR_ATTRIBUTE_NAME] = { self.getSelectorType() : selectorDict }
self.getSelector()._encodeProperties(selectorDict)
dict[jsonTranslatorGlobals.CHILDREN_ATTRIBUTE_NAME] = jsonTranslatorUtils.encodeObjectArray(self.getChildren())
def _decodeChildren(self, children, mergeType, prependToName):
jsonTranslatorUtils.decodeObjectArray(children,
jsonTranslatorUtils.MergePolicy(self.getChild,
self._importChild,
mergeType,
prependToName))
def _decodeProperties(self, dict, mergeType, prependToName):
super(Collection, self)._decodeProperties(dict, mergeType, prependToName)
if self._getSelfEnabledPlug().partialName(useLongNames=True) in dict:
self.setSelfEnabled(dict[self._getSelfEnabledPlug().partialName(useLongNames=True)])
if self._getIsolatePlug().partialName(useLongNames=True) in dict:
self.setIsolateSelected(dict[self._getIsolatePlug().partialName(useLongNames=True)])
if jsonTranslatorGlobals.SELECTOR_ATTRIBUTE_NAME not in dict: # backward comp with 2016 R2
self.setSelectorType(selector.BasicSelector.kTypeName)
selectorProperties = dict
else:
selectorType = dict[jsonTranslatorGlobals.SELECTOR_ATTRIBUTE_NAME].keys()[0]
if self.getSelectorType() != selectorType:
self.setSelectorType(selectorType)
selectorProperties = dict[jsonTranslatorGlobals.SELECTOR_ATTRIBUTE_NAME].values()[0]
self.getSelector()._decodeProperties(selectorProperties)
if jsonTranslatorGlobals.CHILDREN_ATTRIBUTE_NAME in dict:
self._decodeChildren(dict[jsonTranslatorGlobals.CHILDREN_ATTRIBUTE_NAME],
mergeType,
prependToName)
def acceptImport(self):
super(Collection, self).acceptImport()
for child in self.getChildren():
child.acceptImport()
def isSelfAcceptableChild(self):
"""Overridden instances that return False, prevent copy/paste of the collection type to itself."""
return True
def isAcceptableChild(self, modelOrData):
""" Check if the model could be a child"""
if isinstance(modelOrData, clipboardData.ClipboardData):
isOverride = modelOrData.typeName() in _overrideTypes
parentTypeName = modelOrData.parentTypeName
else:
isOverride = isinstance(modelOrData, override.Override)
parentTypeName = modelOrData.parent().typeName()
return isOverride and parentTypeName == self.typeName() or (modelOrData.typeName() == self.typeName() and self.isSelfAcceptableChild())
def isTopLevel(self):
"""Is the collection's parent a render layer?"""
# Don't have access to renderLayer.RenderLayer, type check on
# Collection instead.
return not isinstance(self.parent(), Collection)
def ancestorCollections(self):
"""Return this collection's ancestors.
Neither the collection itself, nor the render layer, are included
in the ancestors. Therefore, a top-level collection has no
ancestors."""
parent = self.parent()
while isinstance(parent, Collection):
yield parent
parent = parent.parent()
class LightsCollection(Collection):
"""
LightsCollection node.
A collection node specific for grouping light sources
and overrides on those light sources.
This collection should have all light sources as member by default. All nodes
matching the light classification should be returned by the selector
on this collection.
"""
kTypeId = typeIDs.lightsCollection
kTypeName = 'lightsCollection'
@staticmethod
def creator():
return LightsCollection()
@staticmethod
def initializer():
# Inherit all attributes from parent class
LightsCollection.inheritAttributesFrom(Collection.kTypeName)
def __init__(self):
super(LightsCollection, self).__init__()
def typeId(self):
return LightsCollection.kTypeId
def typeName(self):
return LightsCollection.kTypeName
def _createSelector(self, parent=None, selArgs=None):
self._createAndConnectSelector(selector.SimpleSelector.kTypeName)
# Make it select all light sources in the scene
self.getSelector().setPattern("*")
self.getSelector().setFilterType(selector.Filters.kLights)
def setSelectorType(self, typeName):
raise RuntimeError('Illegal call to derived class method.')
def createCollection(self, collectionName):
""" Add a lights child collection to the Collection. """
return self._createCollection(collectionName, LightsChildCollection.kTypeName)
def isAcceptableChild(self, modelOrData):
"""Check if the argument can be a child of this collection.
We want to prevent copying LightsChildCollections in the same
LightsCollection at the expense of not being able to copy
LightsChildCollections between different LightsCollections.
"""
return False
def compute(self, plug, dataBlock):
computeEnabled.compute(self, plug, dataBlock)
class LightsChildCollection(Collection):
"""
LightsChildCollection node.
A child collection node specific for one single light source
and overrides on this light source.
"""
kTypeId = typeIDs.lightsChildCollection
kTypeName = 'lightsChildCollection'
@staticmethod
def creator():
return LightsChildCollection()
@staticmethod
def initializer():
# Inherit all attributes from parent class
LightsChildCollection.inheritAttributesFrom(Collection.kTypeName)
def __init__(self):
super(LightsChildCollection, self).__init__()
def typeId(self):
return LightsChildCollection.kTypeId
def typeName(self):
return LightsChildCollection.kTypeName
def _createSelector(self, parent=None, selArgs=None):
self._createAndConnectSelector(selector.SimpleSelector.kTypeName)
# Only accepts light sources.
self.getSelector().setFilterType(selector.Filters.kLights)
def setSelectorType(self, typeName):
raise RuntimeError('Illegal call to derived class method.')
def compute(self, plug, dataBlock):
computeEnabled.compute(self, plug, dataBlock)
def isAcceptableChild(self, modelOrData):
"""Check if the argument can be a child of this collection.
Pasting is prevented because the Light Editor considers only the
first override in the LightsChildCollection. Additionally dragging
is prevented between overrides in LightsChildCollections to prevent
dragging between incompatible LightsChildCollection types
(ie. point light, spot light)
"""
return False
class RenderSettingsCollection(Collection):
"""
Render Settings Collection node.
This collection has an ordered list of children, and a static & const selector
to determine nodes to which the children apply. The list of nodes is based
on the selected renderer at the time of creation.
MAYA-66757:
- A base collection will be needed to factorize commonalities and segregate differences.
- A static selector is needed which could be the existing static selection or an object set.
- The name is read-only.
- The selector content is read-only
- The render name should be part of the collection so that the settings are clearly linked
to the used renderer, or linked using a plug
"""
kTypeId = typeIDs.renderSettingsCollection
kTypeName = 'renderSettingsCollection'
# Type of selector created by this collection
kSelectorTypeName = selector.SimpleSelector.kTypeName
@staticmethod
def creator():
return RenderSettingsCollection()
@staticmethod
def initializer():
# A render settings collection is a render layer list element.
# inheritAttributesFrom() must be called before adding any other attributes.
RenderSettingsCollection.inheritAttributesFrom(Collection.kTypeName)
def __init__(self):
super(RenderSettingsCollection, self).__init__()
@staticmethod
def containsNodeName(nodeName):
return nodeName in renderSettings.getDefaultNodes()
def _createSelector(self, parent=None, selArgs=None):
self._createAndConnectSelector(self.kSelectorTypeName)
# Set the default nodes as static selection
# Note: Some renderers could return nodes which do not exist yet.
self.getSelector().staticSelection.setWithoutExistenceCheck(renderSettings.getDefaultNodes())
self.getSelector().setFilterType(selector.Filters.kAll)
def setSelectorType(self, typeName):
raise RuntimeError('Illegal call to derived class method.')
def typeId(self):
return RenderSettingsCollection.kTypeId
def typeName(self):
return RenderSettingsCollection.kTypeName
def appendChild(self, child):
if isinstance(child, Collection):
raise RuntimeError(kIncorrectChildType % child.typeName())
else:
super(RenderSettingsCollection, self).appendChild(child)
def attachChild(self, pos, child):
if isinstance(child, Collection):
raise RuntimeError(kIncorrectChildType % child.typeName())
else:
super(RenderSettingsCollection, self).attachChild(pos, child)
def _createCollection(self, collectionName, typeName):
raise RuntimeError(kIncorrectChildType % typeName)
def compute(self, plug, dataBlock):
computeEnabled.compute(self, plug, dataBlock)
def isAcceptableChild(self, modelOrData):
"""Check if the argument can be a child of this collection.
No collection of any kind can be a child of this collection."""
return modelOrData.typeName() not in _collectionTypes and \
super(RenderSettingsCollection, self).isAcceptableChild(modelOrData)
def _getOverrideType(self, plg, overrideType):
overrideType = super(RenderSettingsCollection, self)._getOverrideType(plg, overrideType)
return typeIDs.absUniqueOverride if overrideType == typeIDs.absOverride else typeIDs.relUniqueOverride
class AOVCollection(Collection):
"""
AOV (arbitrary output variable) parent collection node.
"""
kTypeId = typeIDs.aovCollection
kTypeName = 'aovCollection'
@staticmethod
def creator():
return AOVCollection()
@staticmethod
def initializer():
# An AOV collection is a render layer list element.
# inheritAttributesFrom() must be called before adding any other attributes.
AOVCollection.inheritAttributesFrom(Collection.kTypeName)
def __init__(self):
super(AOVCollection, self).__init__()
@staticmethod
def containsNodeName(nodeName):
callbacks = rendererCallbacks.getCallbacks(rendererCallbacks.CALLBACKS_TYPE_AOVS)
try:
callbacks.getAOVName(nodeName)
return True
except:
return False
def _createSelector(self, parent=None, selArgs=None):
# Selector type name argument is ignored.
self._createAndConnectSelector('')
def _createSelectorNode(self, typeName, selectorName, selArgs):
# Ignore the argument selector type name: get the AOV collection
# selector from the AOV renderer callback.
callbacks = rendererCallbacks.getCallbacks(rendererCallbacks.CALLBACKS_TYPE_AOVS)
return callbacks.getCollectionSelector(selectorName)
def setSelectorType(self, typeName):
raise RuntimeError('Illegal call to derived class method.')
def typeId(self):
return AOVCollection.kTypeId
def typeName(self):
return AOVCollection.kTypeName
def appendChild(self, child):
if isinstance(child, Collection) and not isinstance(child, AOVChildCollection):
raise RuntimeError(kIncorrectChildType % child.typeName())
else:
super(AOVCollection, self).appendChild(child)
def attachChild(self, pos, child):
if isinstance(child, Collection) and not isinstance(child, AOVChildCollection):
raise RuntimeError(kIncorrectChildType % child.typeName())
else:
super(AOVCollection, self).attachChild(pos, child)
# This should never be called, as AOVCollections are created in renderLayer.py in aovCollectionInstance()
def _createCollection(self, collectionName, typeName):
raise RuntimeError(kIncorrectChildType % typeName)
def compute(self, plug, dataBlock):
computeEnabled.compute(self, plug, dataBlock)
class AOVChildCollection(Collection):
"""
AOV (arbitrary output variable) Child Collection node.
"""
kTypeId = typeIDs.aovChildCollection
kTypeName = 'aovChildCollection'
@staticmethod
def creator():
return AOVChildCollection()
@staticmethod
def initializer():
# Inherit all attributes from parent class
AOVChildCollection.inheritAttributesFrom(Collection.kTypeName)
def __init__(self):
super(AOVChildCollection, self).__init__()
def containsNodeName(self, nodeName):
return nodeName in self.getSelector().getAbsoluteNames()
def typeId(self):
return AOVChildCollection.kTypeId
def typeName(self):
return AOVChildCollection.kTypeName
def _createSelector(self, parent=None, selArgs=None):
# Selector type name argument is ignored.
self._createAndConnectSelector('', selArgs)
def _createSelectorNode(self, typeName, selectorName, selArgs):
# Ignore the argument selector type name: get the AOV child
# collection selector from the AOV renderer callback.
#
# selArgs is a dictionary for selector argument
# construction. It must contain a value for 'aovName'.
callbacks = rendererCallbacks.getCallbacks(rendererCallbacks.CALLBACKS_TYPE_AOVS)
return callbacks.getChildCollectionSelector(selectorName, selArgs['aovName'])
def setSelectorType(self, typeName):
raise RuntimeError('Illegal call to derived class method.')
def compute(self, plug, dataBlock):
computeEnabled.compute(self, plug, dataBlock)
def isSelfAcceptableChild(self):
"""This code prevents copy/paste of AOV child collections to themselves/other AOV child collections."""
return False
@undo.chunk('Create collection')
@namespace.root
def create(name, nodeType=Collection.kTypeName, parent=None, **selArgs):
""" Create a collection.
Returns the MPxNode object corresponding to the created
collection node. A RuntimeError is raised in case of error.
The selArgs keyword arguments are passed along to the selector creation.
This function is undoable.
"""
# collection names should never contain namespace delimiter or other invalid characters
# collections belong to current namespace (i.e. root)
name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
if isinstance(nodeType, basestring):
typeName = nodeType
else:
typeName = cmds.objectType(typeFromTag=nodeType.id())
# To avoid writing a command to implement collection creation,
# re-use existing name-based commands for undo / redo purposes, since
# collection creation is not performance-critical. If the name
# flag is specified, it cannot be an empty string.
returnCollectionName = cmds.createNode(
typeName, name=name, skipSelect=True) if name else \
cmds.createNode(typeName, skipSelect=True)
collection = utils.nameToUserNode(returnCollectionName)
collection._createSelector(parent=parent, selArgs=selArgs)
return collection
@undo.chunk('Delete collection')
def delete(collection):
"""Remove the argument collection from the scene.
All overrides and sub-collections in the collection are removed."""
# Inform our parent (if any) of upcoming delete.
# This will remove the collection from its parent,
# and will trigger deactivation of the collection
# causing it and the selector to stop listening to scene and attribute changes.
# Need to call _preChildDelete before removing children, otherwise we lose the parenting information
# to the children which may be used by the parent (ex: renderLayers use that information
# to determine if they need to be refreshed).
parent = collection.parent()
if parent:
parent._preChildDelete(collection)
# Delete the children.
for child in collection.getChildren():
if isinstance(child, Collection):
delete(child)
else:
override.delete(child)
# Deleting the selector means unhooking the selector node
# from the collection and removing it from the scene.
collection._deleteSelector()
# Deleting the node will remove it from the scene.
utils.deleteNode(collection)
@undo.chunk('Unapply a collection')
def unapply(collection):
''' Command to unapply a collection '''
if isinstance(collection, Collection):
for c in collection.getChildren():
unapply(c)
else:
# End of recursion so unapply the override
# using a command
override.UnapplyCmd.execute(collection)
def getAllCollectionClasses():
""" Returns the list of Collection subclasses """
return commonUtils.getSubClasses(Collection)
_collectionTypes = { c.kTypeName for c in getAllCollectionClasses() }
_overrideTypes = { o.kTypeName for o in overrideUtils.getAllOverrideClasses() }
# ===========================================================================
# Copyright 2016 Autodesk, Inc. All rights reserved.
#
# Use of this software is subject to the terms of the Autodesk license
# agreement provided at the time of installation or download, or which
# otherwise accompanies this software in either electronic or hard copy form.
# ===========================================================================
| [
"[email protected]"
] | |
56c15e78ef411bada79abd374bd7d67e36ff9929 | 234c7fb0bdabdd696c8e4c6a449ac2c8e3f14ad5 | /build/PureCloudPlatformClientV2/models/workday_values_trend.py | 2cd0430e7aa02ba9e1bd12ac92f707c225c96002 | [
"Apache-2.0",
"MIT"
] | permissive | humano7/platform-client-sdk-python | 2a942c43cc2d69e8cb0c4113d998e6e0664fdedb | dd5b693b1fc90c9dcb36885d7227f11221db5980 | refs/heads/master | 2023-04-12T05:05:53.932393 | 2021-04-22T03:41:22 | 2021-04-22T03:41:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,713 | py | # coding: utf-8
"""
Copyright 2016 SmartBear Software
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Ref: https://github.com/swagger-api/swagger-codegen
"""
from pprint import pformat
from six import iteritems
import re
import json
from ..utils import sanitize_for_serialization
class WorkdayValuesTrend(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self):
"""
WorkdayValuesTrend - a model defined in Swagger
:param dict swaggerTypes: The key is attribute name
and the value is attribute type.
:param dict attributeMap: The key is attribute name
and the value is json key in definition.
"""
self.swagger_types = {
'date_start_workday': 'date',
'date_end_workday': 'date',
'division': 'Division',
'user': 'UserReference',
'timezone': 'str',
'results': 'list[WorkdayValuesMetricItem]'
}
self.attribute_map = {
'date_start_workday': 'dateStartWorkday',
'date_end_workday': 'dateEndWorkday',
'division': 'division',
'user': 'user',
'timezone': 'timezone',
'results': 'results'
}
self._date_start_workday = None
self._date_end_workday = None
self._division = None
self._user = None
self._timezone = None
self._results = None
@property
def date_start_workday(self):
"""
Gets the date_start_workday of this WorkdayValuesTrend.
The start workday for the query range for the metric value trend. Dates are represented as an ISO-8601 string. For example: yyyy-MM-dd
:return: The date_start_workday of this WorkdayValuesTrend.
:rtype: date
"""
return self._date_start_workday
@date_start_workday.setter
def date_start_workday(self, date_start_workday):
"""
Sets the date_start_workday of this WorkdayValuesTrend.
The start workday for the query range for the metric value trend. Dates are represented as an ISO-8601 string. For example: yyyy-MM-dd
:param date_start_workday: The date_start_workday of this WorkdayValuesTrend.
:type: date
"""
self._date_start_workday = date_start_workday
@property
def date_end_workday(self):
"""
Gets the date_end_workday of this WorkdayValuesTrend.
The end workday for the query range for the metric value trend. Dates are represented as an ISO-8601 string. For example: yyyy-MM-dd
:return: The date_end_workday of this WorkdayValuesTrend.
:rtype: date
"""
return self._date_end_workday
@date_end_workday.setter
def date_end_workday(self, date_end_workday):
"""
Sets the date_end_workday of this WorkdayValuesTrend.
The end workday for the query range for the metric value trend. Dates are represented as an ISO-8601 string. For example: yyyy-MM-dd
:param date_end_workday: The date_end_workday of this WorkdayValuesTrend.
:type: date
"""
self._date_end_workday = date_end_workday
@property
def division(self):
"""
Gets the division of this WorkdayValuesTrend.
The targeted division for the query
:return: The division of this WorkdayValuesTrend.
:rtype: Division
"""
return self._division
@division.setter
def division(self, division):
"""
Sets the division of this WorkdayValuesTrend.
The targeted division for the query
:param division: The division of this WorkdayValuesTrend.
:type: Division
"""
self._division = division
@property
def user(self):
"""
Gets the user of this WorkdayValuesTrend.
The targeted user for the query
:return: The user of this WorkdayValuesTrend.
:rtype: UserReference
"""
return self._user
@user.setter
def user(self, user):
"""
Sets the user of this WorkdayValuesTrend.
The targeted user for the query
:param user: The user of this WorkdayValuesTrend.
:type: UserReference
"""
self._user = user
@property
def timezone(self):
"""
Gets the timezone of this WorkdayValuesTrend.
The time zone used for aggregating metric values
:return: The timezone of this WorkdayValuesTrend.
:rtype: str
"""
return self._timezone
@timezone.setter
def timezone(self, timezone):
"""
Sets the timezone of this WorkdayValuesTrend.
The time zone used for aggregating metric values
:param timezone: The timezone of this WorkdayValuesTrend.
:type: str
"""
self._timezone = timezone
@property
def results(self):
"""
Gets the results of this WorkdayValuesTrend.
The metric value trends
:return: The results of this WorkdayValuesTrend.
:rtype: list[WorkdayValuesMetricItem]
"""
return self._results
@results.setter
def results(self, results):
"""
Sets the results of this WorkdayValuesTrend.
The metric value trends
:param results: The results of this WorkdayValuesTrend.
:type: list[WorkdayValuesMetricItem]
"""
self._results = results
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
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
return result
def to_json(self):
"""
Returns the model as raw JSON
"""
return json.dumps(sanitize_for_serialization(self.to_dict()))
def to_str(self):
"""
Returns the string representation of the model
"""
return 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
"""
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| [
"[email protected]"
] | |
491a1f11b35ab27ff0eb2c2ce7bb95b422862b4a | ed7cd7760c708720f5a847a02b0c3a50cca0175e | /docs/conf.py | c6db3e446649d27013be9c86061f2f9677830789 | [
"MIT"
] | permissive | jcapriot/aurora | bf98b1236e7dc43e0189df71725f7f862d271984 | 08d5ccc671054a2b646a4effb412a2ed48314646 | refs/heads/main | 2023-09-05T00:07:16.984109 | 2021-10-27T02:49:41 | 2021-10-27T02:49:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,585 | py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
import aurora
from sphinx_gallery.sorting import FileNameSortKey
# -- Project information -----------------------------------------------------
project = 'aurora'
copyright = '2021, Karl Kappler, Jared Peacock, Lindsey Heagy, Douglas Oldenburg'
author = 'Karl Kappler, Jared Peacock, Lindsey Heagy, Douglas Oldenburg'
# The full version, including alpha/beta/rc tags
release = '0.0.1'
# -- General configuration ---------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
"sphinx.ext.autodoc",
"sphinx.ext.autosummary",
"sphinx.ext.coverage",
"sphinx.ext.doctest",
"sphinx.ext.extlinks",
"sphinx.ext.intersphinx",
"sphinx.ext.mathjax",
"sphinx.ext.todo",
"sphinx.ext.viewcode",
"matplotlib.sphinxext.plot_directive",
"numpydoc",
# "nbsphinx",
"sphinx_gallery.gen_gallery"
]
# Autosummary pages will be generated by sphinx-autogen instead of sphinx-build
autosummary_generate = True
numpydoc_class_members_toctree = False
# API doc options
apidoc_module_dir = "../aurora"
apidoc_output_dir = "api/generated"
apidoc_toc_file = False
apidoc_excluded_paths = []
apidoc_separate_modules = True
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
try:
import sphinx_rtd_theme
html_theme = "sphinx_rtd_theme"
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
pass
except Exception:
html_theme = "default"
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Intersphinx
intersphinx_mapping = {
"python": ("https://docs.python.org/3/", None),
"numpy": ("https://docs.scipy.org/doc/numpy/", None),
"scipy": ("https://docs.scipy.org/doc/scipy/reference/", None),
"matplotlib": ("https://matplotlib.org/", None),
}
# Sphinx Gallery
sphinx_gallery_conf = {
# path to your examples scripts
"examples_dirs": [
"../examples",
],
"gallery_dirs": [
"examples",
],
"within_subsection_order": FileNameSortKey,
"filename_pattern": "\.py",
"backreferences_dir": "api/generated/backreferences",
"doc_module": "aurora",
# 'reference_url': {'discretize': None},
}
| [
"[email protected]"
] | |
13f0735af7afa71669e0b00ec47e9d7d07d8bce0 | d5214b1331c9dae59d95ba5b3aa3e9f449ad6695 | /qPloneDropDownMenu/branches/0.2/skins/qPloneDropDownMenu/qpdm_reorder.py | e0bfe0d169c75bd9dae28edd63c26790aeb59ec2 | [] | no_license | kroman0/products | 1661ee25a224c4b5f172f98110944f56136c77cf | f359bb64db22f468db5d1e411638790e94d535a2 | refs/heads/master | 2021-01-10T07:58:04.579234 | 2014-06-11T12:05:56 | 2014-06-11T12:05:56 | 52,677,831 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 473 | py | ## Script (Python) "qpdm_reorder"
##bind container=container
##bind context=context
##bind namespace=
##bind script=script
##bind subpath=traverse_subpath
##parameters= submenu_path, idxs
##title=
##
from Products.CMFCore.utils import getToolByName
menu_tool = getToolByName(context, 'portal_dropdownmenu')
menuitem = menu_tool.manage_reorderItems(idxs, submenu_path)
return context.getSubmenu(submenu=menu_tool.getSubMenuByPath(submenu_path),submenu_path=submenu_path)
| [
"mylan@4df3d6c7-0a05-0410-9bee-ae8b7a76f946"
] | mylan@4df3d6c7-0a05-0410-9bee-ae8b7a76f946 |
432aae4837c6d251b61eb69326fd327cebce4c6c | a63d907ad63ba6705420a6fb2788196d1bd3763c | /src/api/resourcecenter/serializers/processing_metrics_serializers.py | bb72d5540d96efd33b60750a04d702611cbf0b03 | [
"MIT"
] | permissive | Tencent/bk-base | a38461072811667dc2880a13a5232004fe771a4b | 6d483b4df67739b26cc8ecaa56c1d76ab46bd7a2 | refs/heads/master | 2022-07-30T04:24:53.370661 | 2022-04-02T10:30:55 | 2022-04-02T10:30:55 | 381,257,882 | 101 | 51 | NOASSERTION | 2022-04-02T10:30:56 | 2021-06-29T06:10:01 | Python | UTF-8 | Python | false | false | 2,364 | py | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
--------------------------------------------------------------------
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial
portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
import datetime
from django.utils.translation import ugettext as _
from rest_framework import serializers
from common.exceptions import ValidationError
class ProcessingMetricSummarySerializer(serializers.Serializer):
start_time = serializers.CharField(label=_("开始日期"))
end_time = serializers.CharField(label=_("结束日期"))
geog_area_code = serializers.CharField(required=False, label=_("地区"))
def validate_start_time(self, start_time):
try:
datetime.datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")
except ValueError:
raise ValidationError(_("开始日期，格式为YYYY-MM-DD HH:mm:SS"))
return start_time
def validate_end_time(self, end_time):
try:
datetime.datetime.strptime(end_time, "%Y-%m-%d %H:%M:%S")
except ValueError:
raise ValidationError(_("结束日期，格式为YYYY-MM-DD HH:mm:SS"))
return end_time
| [
"[email protected]"
] | |
ff96ced9ce7021a3e0768e0e4493dcaaee8df6fd | a6086dcd794ee1419081761e473433081249059f | /app/api/errors.py | 9e92b5acf600ead372909b7faad5a3d73fe777ea | [] | no_license | billy0402/flask-stock-api | f1d6f51d7d67300eccc2d7621eacc41f3a8ec609 | 2d656c80b2a062f8dd4f7f8466ed3060f7d56477 | refs/heads/master | 2023-07-18T15:40:53.869479 | 2021-09-08T18:57:47 | 2021-09-08T18:57:47 | 402,569,924 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 632 | py | from flask import jsonify
from . import api
from ..exceptions import ValidationError
def bad_request(message):
response = jsonify({'error': 'bad request', 'message': message})
response.status_code = 400
return response
def unauthorized(message):
response = jsonify({'error': 'unauthorized', 'message': message})
response.status_code = 401
return response
def forbidden(message):
response = jsonify({'error': 'forbidden', 'message': message})
response.status_code = 403
return response
@api.errorhandler(ValidationError)
def validation_error(error):
return bad_request(error.args[0])
| [
"[email protected]"
] | |
95b9fdca571f3e098ef2c1ff21e6bd48597afc65 | f09dc121f213f2881df3572288b7ee5b39246d73 | /aliyun-python-sdk-cms/aliyunsdkcms/request/v20190101/ModifyHostInfoRequest.py | b5160544bcb63311836cf513c07824b15c12694d | [
"Apache-2.0"
] | permissive | hetw/aliyun-openapi-python-sdk | 2f31378ad6be0896fb8090423f607e9c7d3ae774 | 7443eacee9fbbaa93c7975c6dbec92d3c364c577 | refs/heads/master | 2023-01-19T22:42:36.214770 | 2020-12-04T10:55:14 | 2020-12-04T10:55:14 | 318,689,093 | 1 | 0 | NOASSERTION | 2020-12-05T03:03:03 | 2020-12-05T03:03:03 | null | UTF-8 | Python | false | false | 1,332 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from aliyunsdkcore.request import RpcRequest
class ModifyHostInfoRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'Cms', '2019-01-01', 'ModifyHostInfo','cms')
self.set_method('POST')
def get_HostName(self):
return self.get_query_params().get('HostName')
def set_HostName(self,HostName):
self.add_query_param('HostName',HostName)
def get_InstanceId(self):
return self.get_query_params().get('InstanceId')
def set_InstanceId(self,InstanceId):
self.add_query_param('InstanceId',InstanceId) | [
"[email protected]"
] | |
d21c0896c06e1415355d55f1c6aa4eda00358cbc | 46559fa48bb8ae722149b600ecd5e05e558553ac | /RumourEval2019Models/Bert-MFajcik/data_preprocessing/text_preprocessing.py | 185113f8777ca3d00c738e17f3b504dde6cda8ea | [
"MIT"
] | permissive | isspek/veracity-detection | f84eeba6aceb8b2f3f753c5e856bb46d9581c0c5 | 9368309722bead209e49e52c206758e3d173092a | refs/heads/master | 2022-07-15T10:25:10.327352 | 2019-11-14T13:24:55 | 2019-11-14T13:24:55 | 214,429,773 | 0 | 0 | MIT | 2022-06-21T23:08:54 | 2019-10-11T12:23:39 | Python | UTF-8 | Python | false | false | 7,549 | py | import re
import string
import warnings
import preprocessor as twitter_preprocessor
import spacy
# See spacy tag_map.py for tag explanation
from nltk.corpus import stopwords
from spacy.symbols import PUNCT, SYM, ADJ, CCONJ, NUM, DET, ADV, ADP, VERB, NOUN, PROPN, PART, PRON, ORTH
from utils import DotDict
warnings.filterwarnings("ignore", category=UserWarning, module='bs4')
nlp = None
punctuation = list(string.punctuation) + ["``"]
stopWords = set(stopwords.words('english'))
validPOS = [PUNCT, SYM, ADJ, CCONJ, NUM, DET, ADV, ADP, VERB, NOUN, PROPN, PART, PRON]
POS_dict = {x: i + 2 for i, x in enumerate(validPOS)}
POS_dict['UNK'] = 0
POS_dict['EOS'] = 1
validNER = ["UNK",
"PERSON", # People, including fictional.
"NORP", # Nationalities or religious or political groups.
"FAC", # Buildings, airports, highways, bridges, etc.
"ORG", # Companies, agencies, institutions, etc.
"GPE", # Countries, cities, states.
"LOC", # Non-GPE locations, mountain ranges, bodies of water.
"PRODUCT", # Objects, vehicles, foods, etc. (Not services.)
"EVENT", # Named hurricanes, battles, wars, sports events, etc.
"WORK_OF_ART", # Titles of books, songs, etc.
"LAW", # Named documents made into laws.
"LANGUAGE", # Any named language.
"DATE", # Absolute or relative dates or periods.
"TIME", # Times smaller than a day.
"PERCENT", # Percentage, including "%".
"MONEY", # Monetary values, including unit.
"QUANTITY", # Measurements, as of weight or distance.
"ORDINAL", # "first", "second", etc.
"CARDINAL", # Numerals that do not fall under another type.
]
validDEPS = ['UNK',
'acl',
'acomp',
'advcl',
'advmod',
'agent',
'amod',
'appos',
'attr',
'aux',
'auxpass',
'case',
'cc',
'ccomp',
'complm',
'compound',
'conj',
'cop',
'csubj',
'csubjpass',
'dative',
'dep',
'det',
'dobj',
'expl',
'hmod',
'hyph',
'infmod',
'intj',
'iobj',
'mark',
'meta',
'neg',
'nmod',
'nn',
'npadvmod',
'nsubj',
'nsubjpass',
'num',
'number',
'nummod',
'obj',
'obl',
'oprd',
'parataxis',
'partmod',
'pcomp',
'pobj',
'poss',
'possessive',
'preconj',
'predet',
'prep',
'prt',
'punct',
'quantmod',
'rcmod',
'relcl',
'root',
'xcomp']
def preprocess_text(text: str, opts, nlpengine=None, lang='en', special_tags=["<pad>", "<eos>"],
use_tw_preprocessor=True):
if use_tw_preprocessor:
## ! There is a bug in original package for twitter preprocessing
# Sometomes regexp for link preprocessing freezes
# So we preprocess links separately
text = re.sub(r"(http|ftp|https)://([\w_-]+(?:(?:\.[\w_-]+)+))([\w.,@?^=%&:/~+#-]*[\w@?^=%&/~+#-])?", "$URL$",
text.strip())
twitter_preprocessor.set_options('mentions')
text = twitter_preprocessor.tokenize(text)
# processed_chunk = twitter_preprocessor.clean(text)
if nlpengine is None:
global nlp
if nlp is None:
nlp = spacy.load(lang)
nlp.add_pipe(nlp.create_pipe('sentencizer'))
for x in ['URL', 'MENTION', 'HASHTAG', 'RESERVED', 'EMOJI', 'SMILEY', 'NUMBER', ]:
nlp.tokenizer.add_special_case(f'${x}$', [{ORTH: f'${x}$'}])
nlpengine = nlp
BLvec = []
POSvec = []
DEPvec = []
NERvec = []
processed_chunk = ""
doc = nlpengine(text)
doclen = 0
for sentence in doc.sents:
for w in sentence:
# Some phrases are automatically tokenized by Spacy
# i.e. New York, in that case we want New_York in our dictionary
word = "_".join(w.text.split())
if word.isspace() or word == "":
continue
if opts.remove_stop_words and word.lower() in stopWords:
continue
if opts.remove_puncuation and word in punctuation:
continue
# Spacy lemmatized I,He/She/It into artificial
# -PRON- lemma, which is unwanted
if opts.lemmatize_words:
output = w.lemma_ if w.lemma_ != '-PRON-' else w.lower_
else:
output = word
if opts.to_lowercase:
output = output.lower()
if opts.replace_nums and output.replace('.', '', 1).isdigit():
output = opts.num_replacement
output = output.replace("n't", "not")
doclen += 1
processed_chunk += "%s " % (output)
# Sometimes, when the word contains punctuation and we split it manually
# the output can contain multiple tokens
# In such case, just copy the features..., it happens rarely
if opts.returnbiglettervector:
BLvec.append(int(w.text[0].isupper()))
if opts.returnposvector:
POSvec.append(POS_dict.get(w.pos, POS_dict['UNK']))
if opts.returnDEPvector:
try:
DEPvec.append(validDEPS.index(w.dep_.lower()))
except ValueError:
DEPvec.append(validDEPS.index('UNK'))
if opts.returnNERvector:
try:
NERvec.append(validNER.index(w.ent_type_))
except ValueError:
NERvec.append(validNER.index('UNK'))
if opts.add_eos:
doclen += 1
processed_chunk += opts.eos + "\n"
if opts.returnbiglettervector:
BLvec.append(0)
if opts.returnposvector:
POSvec.append(POS_dict['EOS'])
if opts.returnDEPvector:
DEPvec.append(0)
if opts.returnNERvector:
NERvec.append(0)
else:
processed_chunk += "\n"
processed_chunk = processed_chunk.strip()
assert len(processed_chunk.split()) == len(BLvec) == len(POSvec) == len(DEPvec) == len(NERvec)
return processed_chunk, BLvec, POSvec, DEPvec, NERvec
def initopts():
o = DotDict()
o.stopwords_file = ""
o.remove_puncuation = False
o.remove_stop_words = False
o.lemmatize_words = False
o.num_replacement = "[NUM]"
o.to_lowercase = False
o.replace_nums = False # Nums are important, since rumour may be lying about count
o.eos = "[EOS]"
o.add_eos = True
o.returnNERvector = True
o.returnDEPvector = True
o.returnbiglettervector = True
o.returnposvector = True
return o
if __name__ == "__main__":
print(preprocess_text(
"Appalled by the attack on Charlie Hebdo in Paris, 10 - probably journalists - now confirmed dead. An attack on free speech everywhere.",
initopts()))
| [
"[email protected]"
] | |
eedc1a1a7b87294894b34aefd03488bb442339be | 33e5e4b883671f7f40a48e6e0a4b544b3f8f839a | /imageflow/apps.py | 2b8872cb5e0adfd69a6677056fd89db00b564baa | [
"MIT"
] | permissive | typpo/astrokit | ad7ee83664e3d920733d7e008aec4801c7aa84f2 | 59cea2e06c027e83dfa70defb4053820c79ccced | refs/heads/master | 2023-04-12T15:44:11.669710 | 2022-06-21T21:21:04 | 2022-06-21T21:21:04 | 47,933,931 | 9 | 7 | MIT | 2023-03-31T14:28:40 | 2015-12-13T19:52:01 | Python | UTF-8 | Python | false | false | 134 | py | from __future__ import unicode_literals
from django.apps import AppConfig
class ImageflowConfig(AppConfig):
name = 'imageflow'
| [
"[email protected]"
] | |
9b3ef03ef6d8de217adbc634e63f038ae42d5d52 | 0a3bf0a6f10eb143c9291090125946538ee73279 | /summarize/sumy/summarizers/edmundson_location.py | 406597f5a31d71b8b516c58c710328b273d06797 | [
"Apache-2.0"
] | permissive | AIPHES/live-blog-summarization | 19ec1c01b7e254f74b2de153ac3972780daa7506 | a5f899ea07a098e1e0b3ab92cd3d430776e6412a | refs/heads/master | 2022-11-24T09:39:25.750313 | 2019-02-12T13:53:12 | 2019-02-12T13:53:12 | 166,268,167 | 2 | 1 | Apache-2.0 | 2022-11-02T20:47:14 | 2019-01-17T17:34:10 | Python | UTF-8 | Python | false | false | 2,516 | py | # -*- coding: utf8 -*-
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
from itertools import chain
from operator import attrgetter
from .._compat import ffilter
from ._summarizer import AbstractSummarizer
class EdmundsonLocationMethod(AbstractSummarizer):
def __init__(self, stemmer, null_words):
super(EdmundsonLocationMethod, self).__init__(stemmer)
self._null_words = null_words
def __call__(self, document, sentences_count, w_h, w_p1, w_p2, w_s1, w_s2):
significant_words = self._compute_significant_words(document)
ratings = self._rate_sentences(document, significant_words, w_h, w_p1,
w_p2, w_s1, w_s2)
return self._get_best_sentences(document.sentences, sentences_count, ratings)
def _compute_significant_words(self, document):
headings = document.headings
significant_words = chain(*map(attrgetter("words"), headings))
significant_words = map(self.stem_word, significant_words)
significant_words = ffilter(self._is_null_word, significant_words)
return frozenset(significant_words)
def _is_null_word(self, word):
return word in self._null_words
def _rate_sentences(self, document, significant_words, w_h, w_p1, w_p2, w_s1, w_s2):
rated_sentences = {}
paragraphs = document.paragraphs
for paragraph_order, paragraph in enumerate(paragraphs):
sentences = paragraph.sentences
for sentence_order, sentence in enumerate(sentences):
rating = self._rate_sentence(sentence, significant_words)
rating *= w_h
if paragraph_order == 0:
rating += w_p1
elif paragraph_order == len(paragraphs) - 1:
rating += w_p2
if sentence_order == 0:
rating += w_s1
elif sentence_order == len(sentences) - 1:
rating += w_s2
rated_sentences[sentence] = rating
return rated_sentences
def _rate_sentence(self, sentence, significant_words):
words = map(self.stem_word, sentence.words)
return sum(w in significant_words for w in words)
def rate_sentences(self, document, w_h=1, w_p1=1, w_p2=1, w_s1=1, w_s2=1):
significant_words = self._compute_significant_words(document)
return self._rate_sentences(document, significant_words, w_h, w_p1, w_p2, w_s1, w_s2)
| [
"[email protected]"
] | |
3941489ec2a7e0de2b1adcec8caab3fafca2f3a0 | 4b4df51041551c9a855468ddf1d5004a988f59a2 | /leetcode_python/Array/corporate-flight-bookings.py | d6486593ea2dc4f37b79869a1f72ef71fc6dc067 | [] | no_license | yennanliu/CS_basics | 99b7ad3ef6817f04881d6a1993ec634f81525596 | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | refs/heads/master | 2023-09-03T13:42:26.611712 | 2023-09-03T12:46:08 | 2023-09-03T12:46:08 | 66,194,791 | 64 | 40 | null | 2022-08-20T09:44:48 | 2016-08-21T11:11:35 | Python | UTF-8 | Python | false | false | 5,073 | py | """
1109. Corporate Flight Bookings
Medium
There are n flights that are labeled from 1 to n.
You are given an array of flight bookings bookings, where bookings[i] = [firsti, lasti, seatsi] represents a booking for flights firsti through lasti (inclusive) with seatsi seats reserved for each flight in the range.
Return an array answer of length n, where answer[i] is the total number of seats reserved for flight i.
Example 1:
Input: bookings = [[1,2,10],[2,3,20],[2,5,25]], n = 5
Output: [10,55,45,25,25]
Explanation:
Flight labels: 1 2 3 4 5
Booking 1 reserved: 10 10
Booking 2 reserved: 20 20
Booking 3 reserved: 25 25 25 25
Total seats: 10 55 45 25 25
Hence, answer = [10,55,45,25,25]
Example 2:
Input: bookings = [[1,2,10],[2,2,15]], n = 2
Output: [10,25]
Explanation:
Flight labels: 1 2
Booking 1 reserved: 10 10
Booking 2 reserved: 15
Total seats: 10 25
Hence, answer = [10,25]
Constraints:
1 <= n <= 2 * 104
1 <= bookings.length <= 2 * 104
bookings[i].length == 3
1 <= firsti <= lasti <= n
1 <= seatsi <= 104
"""
# V0
# V1
# IDEA : ARRAY + prefix sum
# https://leetcode.com/problems/corporate-flight-bookings/discuss/328856/JavaC%2B%2BPython-Sweep-Line
# IDEA :
# Set the change of seats for each day.
# If booking = [i, j, k],
# it needs k more seat on ith day,
# and we don't need these seats on j+1th day.
# We accumulate these changes then we have the result that we want.
# Complexity
# Time O(booking + N) for one pass on bookings
# Space O(N) for the result
class Solution:
def corpFlightBookings(self, bookings, n):
res = [0] * (n + 1)
for i, j, k in bookings:
res[i - 1] += k
res[j] -= k
for i in range(1, n):
res[i] += res[i - 1]
return res[:-1]
# V1'
# IDEA : ARRAY + prefix sum
# https://leetcode.com/problems/corporate-flight-bookings/discuss/328949/Simple-Python-solution
class Solution:
def corpFlightBookings(self, bookings: List[List[int]], n: int) -> List[int]:
answer = n * [0]
lst = []
for i, j, num in bookings:
lst.append((i - 1, num))
lst.append((j, -num))
lst.sort()
curr_num = 0
prev_i = 0
for i, num in lst:
for j in range(prev_i, i):
answer[j] += curr_num
prev_i = i
curr_num += num
return answer
# V1''
# IDEA : ARRAY
# https://leetcode.com/problems/corporate-flight-bookings/discuss/328893/Short-python-solution
# IDEA : Simply use two arrays to keep track of how many bookings are added for every flight.
class Solution:
def corpFlightBookings(self, bookings: List[List[int]], n: int) -> List[int]:
opens = [0]*n
closes = [0]*n
for e in bookings:
opens[e[0]-1] += e[2]
closes[e[1]-1] += e[2]
ret, tmp = [0]*n, 0
for i in range(n):
tmp += opens[i]
ret[i] = tmp
tmp -= closes[i]
return ret
# V1'''
# https://leetcode.com/problems/corporate-flight-bookings/discuss/328986/Python-linear-solution
class Solution:
def corpFlightBookings(self, bookings: List[List[int]], n: int) -> List[int]:
res = [0] * (n + 2)
for booking in bookings:
start, end, seats = booking
res[start] += seats
res[end + 1] -= seats
for i in range(1, len(res)):
res[i] += res[i - 1]
# don't keep first because bookings are 1-based
# don't keep last because it's out of range
return res[1:-1]
# V1''''
# https://leetcode.com/problems/corporate-flight-bookings/discuss/328863/Python-concise-sum
class Solution:
def corpFlightBookings(self, bookings: List[List[int]], n: int) -> List[int]:
res = [0] * n
i = cur = 0
for j, val in sorted([[i - 1, k] for i, j, k in bookings] + [[j, -k] for i, j, k in bookings]):
while i < j:
res[i] = cur
i += 1
cur += val
return res
# V1''''''
# https://zxi.mytechroad.com/blog/math/leetcode-1109-corporate-flight-bookings/
# C++
# class Solution {
# public:
# vector<int> corpFlightBookings(vector<vector<int>>& bookings, int n) {
# vector<int> ans(n + 1);
# for (const auto& b : bookings) {
# ans[b[0] - 1] += b[2];
# ans[b[1]] -= b[2];
# }
# for (int i = 1; i < n; ++i)
# ans[i] += ans[i - 1];
# ans.pop_back();
# return ans;
# }
# };
# V1''''''''
# https://blog.51cto.com/u_15344287/3646723
class Solution:
def corpFlightBookings(self, bookings: List[List[int]], n: int) -> List[int]:
lst = [0] * (n + 1)
for j, k, l in bookings:
lst[j - 1] += l
lst[k] -= l
lst.pop()
ans = []
now = 0
for i in range(len(lst)):
now += lst[i]
ans.append(now)
return ans
# V2 | [
"[email protected]"
] | |
8da121d649ea828a915d2f8fee0f8d2f41569f13 | bfc25f1ad7bfe061b57cfab82aba9d0af1453491 | /data/external/repositories_2to3/120243/tradeshift-text-classification-master/src/online-model/tk7_solution.py | ffa812f783556c5f81ae943cd1fa4a0497105321 | [
"MIT"
] | permissive | Keesiu/meta-kaggle | 77d134620ebce530d183467202cf45639d9c6ff2 | 87de739aba2399fd31072ee81b391f9b7a63f540 | refs/heads/master | 2020-03-28T00:23:10.584151 | 2018-12-20T19:09:50 | 2018-12-20T19:09:50 | 147,406,338 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,176 | py | '''
DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
Version 2, December 2004
Copyright (C) 2004 Sam Hocevar <[email protected]>
Everyone is permitted to copy and distribute verbatim or modified
copies of this license document, and changing it is allowed as long
as the name is changed.
DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION
0. You just DO WHAT THE FUCK YOU WANT TO.
'''
from datetime import datetime
from math import log, exp, sqrt
# TL; DR
# the main learning process start at line 122
# parameters #################################################################
import sys
data_dir=sys.argv[1]
sub_dir=sys.argv[2]
train = data_dir+'train.csv' # path to training file
label = data_dir+'trainLabels.csv' # path to label file of training data
test = data_dir+'test.csv' # path to testing file
D = 2 ** 23 # number of weights use for each model, we have 32 of them
alpha = .1 # learning rate for sgd optimization
# function, generator definitions ############################################
# A. x, y generator
# INPUT:
# path: path to train.csv or test.csv
# label_path: (optional) path to trainLabels.csv
# YIELDS:
# ID: id of the instance (can also acts as instance count)
# x: a list of indices that its value is 1
# y: (if label_path is present) label value of y1 to y33
def data(path, label_path=None):
for t, line in enumerate(open(path)):
# initialize our generator
if t == 0:
# create a static x,
# so we don't have to construct a new x for every instance
x = [0] * (146+13*14/2+1)
if label_path:
label = open(label_path)
label.readline() # we don't need the headers
continue
# parse x
for m, feat in enumerate(line.rstrip().split(',')):
if m == 0:
ID = int(feat)
else:
# one-hot encode everything with hash trick
# categorical: one-hotted
# boolean: ONE-HOTTED
# numerical: ONE-HOTTED!
# note, the build in hash(), although fast is not stable,
# i.e., same value won't always have the same hash
# on different machines
x[m] = abs(hash(str(m) + '_' + feat)) % D
row=line.rstrip().split(',')
hash_cols = [64,65,61,62,91,92,142,3,4,61,34,91,94,95]
t = 146
for i in range(14):
for j in range(i+1,14):
t += 1
x[t] = abs(hash(str(i)+'_'+str(j)+'_'+row[hash_cols[i]]+"_x_"+row[hash_cols[j]])) % D
# parse y, if provided
if label_path:
# use float() to prevent future type casting, [1:] to ignore id
y = [float(y) for y in label.readline().split(',')[1:]]
yield (ID, x, y) if label_path else (ID, x)
# B. Bounded logloss
# INPUT:
# p: our prediction
# y: real answer
# OUTPUT
# bounded logarithmic loss of p given y
def logloss(p, y):
p = max(min(p, 1. - 10e-15), 10e-15)
return -log(p) if y == 1. else -log(1. - p)
# C. Get probability estimation on x
# INPUT:
# x: features
# w: weights
# OUTPUT:
# probability of p(y = 1 | x; w)
def predict(x, w):
wTx = 0.
for i in x: # do wTx
wTx += w[i] * 1. # w[i] * x[i], but if i in x we got x[i] = 1.
return 1. / (1. + exp(-max(min(wTx, 20.), -20.))) # bounded sigmoid
# D. Update given model
# INPUT:
# alpha: learning rate
# w: weights
# n: sum of previous absolute gradients for a given feature
# this is used for adaptive learning rate
# x: feature, a list of indices
# p: prediction of our model
# y: answer
# MODIFIES:
# w: weights
# n: sum of past absolute gradients
def update(alpha, w, n, x, p, y):
for i in x:
# alpha / sqrt(n) is the adaptive learning rate
# (p - y) * x[i] is the current gradient
# note that in our case, if i in x then x[i] = 1.
n[i] += abs(p - y)
w[i] -= (p - y) * 1. * alpha / sqrt(n[i])
# training and testing #######################################################
start = datetime.now()
# a list for range(0, 33) - 13, no need to learn y14 since it is always 0
K = [k for k in range(33) if k != 13]
# initialize our model, all 32 of them, again ignoring y14
w = [[0.] * D if k != 13 else None for k in range(33)]
n = [[0.] * D if k != 13 else None for k in range(33)]
loss = 0.
loss_y14 = log(1. - 10**-15)
for ID, x, y in data(train, label):
# get predictions and train on all labels
for k in K:
p = predict(x, w[k])
update(alpha, w[k], n[k], x, p, y[k])
loss += logloss(p, y[k]) # for progressive validation
loss += loss_y14 # the loss of y14, logloss is never zero
# print out progress, so that we know everything is working
if ID % 100000 == 0:
print(('%s\tencountered: %d\tcurrent logloss: %f' % (
datetime.now(), ID, (loss/33.)/ID)))
for ID, x, y in data(train, label):
# get predictions and train on all labels
for k in K:
p = predict(x, w[k])
update(alpha, w[k], n[k], x, p, y[k])
loss += logloss(p, y[k]) # for progressive validation
loss += loss_y14 # the loss of y14, logloss is never zero
# print out progress, so that we know everything is working
if ID % 100000 == 0:
print(('%s\tencountered: %d\tcurrent logloss: %f' % (
datetime.now(), ID, (loss/33.)/ID)))
with open(sub_dir+'./submissiontk7.csv', 'w') as outfile:
outfile.write('id_label,pred\n')
for ID, x in data(test):
for k in K:
p = predict(x, w[k])
outfile.write('%s_y%d,%s\n' % (ID, k+1, str(p)))
if k == 12:
outfile.write('%s_y14,0.0\n' % ID)
print(('Done, elapsed time: %s' % str(datetime.now() - start)))
| [
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] | |
7da0cdbd0ae336d14f7023b24a2e9169e58abf11 | 94fd1381adcfaa5ea64dc13123aef16697b0396a | /covid_dashboard/views/get_districts_daily_report_day_wise/request_response_mocks.py | 540280aed7e3719046e9b95366e4f81bc83ed4df | [] | no_license | bharathi151/covid_dashboard | 30ac9fe4720b8cd42028b33dcc1b620e0f1ebdb1 | 930bf3e46e8d7c56c682ce10f7f6e5fa7f50cab8 | refs/heads/master | 2022-11-14T20:18:24.648922 | 2020-06-27T10:08:53 | 2020-06-27T10:08:53 | 269,612,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 336 | py |
RESPONSE_200_JSON = """
[
{
"district_name": "string",
"district_id": 1,
"day_wise_statistics": [
{
"total_confirmed_cases": 1,
"total_deaths": 1,
"total_recovered_cases": 1,
"date": "string"
}
]
}
]
"""
| [
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] | |
b90fbfd3c2d421fb70c9156499e70a3a7511340d | 4af090efabd08ef73c411a00ce4972a1c6f30a22 | /python_100days/7day/practice11.py | 82eb730e0a554302387bf8dc26b7ee42b67aaddd | [] | no_license | predatory123/byhytest | e52bca664f9461c9309aaa9bf779c02368ed937c | 578206c9ec9253d0d9325e72cdc13dde6eeb2fc1 | refs/heads/master | 2023-04-26T13:33:14.462408 | 2021-05-20T13:33:37 | 2021-05-20T14:26:22 | 369,213,148 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,007 | py | # 综合案例2：约瑟夫环问题
"""
《幸运的基督徒》
有15个基督徒和15个非基督徒在海上遇险，为了能让一部分人活下来不得不将其中15个人扔到海里面去，
有个人想了个办法就是大家围成一个圈，由某个人开始从1报数，报到9的人就扔到海里面，他后面的人接着从1开始报数，
报到9的人继续扔到海里面，直到扔掉15个人。由于上帝的保佑，15个基督徒都幸免于难，问这些人最开始是怎么站的，
哪些位置是基督徒哪些位置是非基督徒。
"""
def main():
persons = [True] * 30
counter, index, number = 0, 0, 0
while counter < 15:
if persons[index]:
number += 1
if number == 9:
persons[index] = False
counter += 1
number = 0
index += 1
index %= 30
for person in persons:
print('基' if person else '非', end='')
if __name__ == '__main__':
main() | [
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] | |
3fce41e05b897b1b5f9cb8483bc9db41b2f751a0 | 3c8701e04900389adb40a46daedb5205d479016c | /oldboy-python18/day02-列表-字典/home-work-stu/购物车.py | 63b937b4063f23e586269f417564b2537968ebdd | [] | no_license | huboa/xuexi | 681300653b834eaf506f49987dcca83df48e8db7 | 91287721f188b5e24fbb4ccd63b60a80ed7b9426 | refs/heads/master | 2020-07-29T16:39:12.770272 | 2018-09-02T05:39:45 | 2018-09-02T05:39:45 | 73,660,825 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,584 | py | #coding:utf-8
goods = [
{"name": "电脑", "price": 1999},
{"name": "鼠标", "price": 10},
{"name": "游艇", "price": 20},
{"name": "美女", "price": 998},
]
shopping_car=[]
while True:
# 获取总资产
total_assets = input('请输入你的总资产:').strip()
if len(total_assets) == 0:
continue
else:
if total_assets.isdigit():
total_assets = int(total_assets)
print('您的总资产：%d' % total_assets)
break
else:
print('您输入的不符合标准:')
continue
while True:
#显示商品信息
n=1
print('-----------商品信息-----------')
for good in goods:
good['id']=n
print('商品编号：%d ,商品名称：%s ,商品价格：%d' %(n,good['name'],good['price']))
n+=1
print('-----------------------------')
#
#
while True:
choice = input('请选择商品：').strip()
if len(choice) == 0:
continue
else:
if choice.isdigit():
n=0
for good in goods:
if int(choice) == good['id']:
#加入到购物车
shopping_car.append((good['name'],good['price']))
n=1
if n == 0:
print('你选择的商品不存在：')
else:
#显示购物车
print('-----------购物车信息-----------')
if len(shopping_car) == 0:
print('购物车为空')
else:
for value in shopping_car:
print('商品名称：%s ,商品价格：%d' % (value[0], value[1]))
print('-----------------------------')
break
# 结算
while True:
is_buy=input('结算请输入y，继续选择商品按任意键').strip()
if len(is_buy) != 0 and is_buy == 'y':
total_price=0
for i in shopping_car:
total_price+=i[1]
print('您购买的商品总价格为：%d' %total_price)
if total_price > total_assets:
print('余额不足。您的余额为%d' %total_assets)
break
else:
total_assets=total_assets-total_price
print('购买成功,余额为%d' %total_assets)
shopping_car.clear()
break
else:
break
| [
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] | |
2372a02f129a67fbf7970e593aecdaeb2bdb38b5 | 55647a80c8b412af9df0ba3f50595cc2f29c25e6 | /res/scripts/client/messenger/doc_loaders/colors_schemes.py | 5d932c37ceee7ccf7724d9394a83e08eff0f0204 | [] | no_license | cnsuhao/WOT-0.9.17-CT | 0035eb6070fb4fab8d8ee9f8bbc676c10d511cfb | d1f932d8cabaf8aa21708622e87f83c8d24d6451 | refs/heads/master | 2021-06-08T18:11:07.039293 | 2016-11-19T19:12:37 | 2016-11-19T19:12:37 | null | 0 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 2,484 | py | # 2016.11.19 19:53:40 Střední Evropa (běžný čas)
# Embedded file name: scripts/client/messenger/doc_loaders/colors_schemes.py
from messenger.doc_loaders import _xml_helpers
def _readColors(xmlCtx, section, colorsNames, defName):
result = {}
notFound = colorsNames[:]
for tagName, subSec in section.items():
if tagName != 'color':
raise _xml_helpers.XMLError(xmlCtx, 'Tag "{0:>s}" is invalid'.format(tagName))
ctx = xmlCtx.next(subSec)
name = _xml_helpers.readNoEmptyStr(ctx, subSec, 'name', 'Section "name" is not defined')
if name not in colorsNames:
raise _xml_helpers.XMLError(ctx, 'Name of color {0:>s} is invalid'.format(name))
result[name] = _xml_helpers.readRGB(ctx, subSec, 'rgb', 'Color is invalid.')
notFound.remove(name)
if len(notFound):
defColor = 0
if defName in result:
defColor = result[defName]
for name in notFound:
result[name] = defColor
return result
def _readColorScheme(xmlCtx, section, colorScheme):
names = colorScheme.getColorsNames()
defName = colorScheme.getDefColorName()
for tagName, subSec in section.items():
if tagName == 'name':
continue
if tagName != 'item':
raise _xml_helpers.XMLError(xmlCtx, 'Tag "{0:>s}" is invalid'.format(tagName))
ctx = xmlCtx.next(subSec)
name = _xml_helpers.readNoEmptyStr(ctx, subSec, 'name', 'Section "name" is not defined')
colorsSec = subSec['colors']
if not colorsSec:
raise _xml_helpers.XMLError(ctx, 'Section "colors" is not defined')
colorScheme[name] = _readColors(ctx.next(colorsSec), colorsSec, names, defName)
def load(xmlCtx, section, messengerSettings):
for tagName, subSec in section.items():
if tagName != 'colorScheme':
raise _xml_helpers.XMLError(xmlCtx, 'Tag {0:>s} is invalid'.format(tagName))
ctx = xmlCtx.next(subSec)
name = _xml_helpers.readNoEmptyStr(ctx, subSec, 'name', 'Color scheme name is not defined')
colorScheme = messengerSettings.getColorScheme(name)
if colorScheme is not None:
_readColorScheme(ctx, subSec, colorScheme)
return
# okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\messenger\doc_loaders\colors_schemes.pyc
# decompiled 1 files: 1 okay, 0 failed, 0 verify failed
# 2016.11.19 19:53:40 Střední Evropa (běžný čas)
| [
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] | |
6aafd67487c0bd93b6877eceb974ad1a5b907767 | ec7ecc5abbdd03fb55f24e89dbbdfa23ebd7b60f | /evaluate postfix expression.py | 0287083b4698fdbb7abd669aeabc7e66044a9f3e | [] | no_license | poojithayadavalli/codekata | cd290e009cf3e2f504c99dd4f6de9171f217c6be | 1885c45a277cf1023e483bd77edf0c6edf8d95f3 | refs/heads/master | 2020-07-18T14:06:17.190229 | 2020-05-30T09:00:29 | 2020-05-30T09:00:29 | 206,259,715 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,541 | py | class Evaluate:
# Constructor to initialize the class variables
def __init__(self, capacity):
self.top = -1
self.capacity = capacity
# This array is used a stack
self.array = []
# check if the stack is empty
def isEmpty(self):
return True if self.top == -1 else False
# Return the value of the top of the stack
def peek(self):
return self.array[-1]
# Pop the element from the stack
def pop(self):
if not self.isEmpty():
self.top -= 1
return self.array.pop()
else:
return "$"
# Push the element to the stack
def push(self, op):
self.top += 1
self.array.append(op)
# The main function that converts given infix expression
# to postfix expression
def evaluatePostfix(self, exp):
# Iterate over the expression for conversion
for i in exp:
# If the scanned character is an operand
# (number here) push it to the stack
if i.isdigit():
self.push(i)
# If the scanned character is an operator,
# pop two elements from stack and apply it.
else:
val1 = self.pop()
val2 = self.pop()
self.push(str(eval(val2 + i + val1)))
return int(self.pop())
exp =input()
obj = Evaluate(len(exp))
print(obj.evaluatePostfix(exp))
| [
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] | |
4be0a9347751505cc966aaaae4aa8a00df3626f7 | f13acd0d707ea9ab0d2f2f010717b35adcee142f | /AtCoder_Virtual_Contest/macle_20220825/c/main.py | 02c948ca2212d942ef5f1445c169292d56933fb5 | [
"CC0-1.0",
"LicenseRef-scancode-public-domain"
] | permissive | KATO-Hiro/AtCoder | 126b9fe89fa3a7cffcbd1c29d42394e7d02fa7c7 | bf43320bc1af606bfbd23c610b3432cddd1806b9 | refs/heads/master | 2023-08-18T20:06:42.876863 | 2023-08-17T23:45:21 | 2023-08-17T23:45:21 | 121,067,516 | 4 | 0 | CC0-1.0 | 2023-09-14T21:59:38 | 2018-02-11T00:32:45 | Python | UTF-8 | Python | false | false | 5,236 | py | # -*- coding: utf-8 -*-
import math
from bisect import bisect_left, bisect_right, insort
from typing import Generic, Iterable, Iterator, TypeVar, Union, List
T = TypeVar('T')
class SortedMultiset(Generic[T]):
"""Sorted multi set (set) in C++.
See:
https://qiita.com/tatyam/items/492c70ac4c955c055602
https://github.com/tatyam-prime/SortedSet/blob/main/SortedMultiset.py
"""
BUCKET_RATIO = 50
REBUILD_RATIO = 170
def _build(self, a=None) -> None:
"Evenly divide `a` into buckets."
if a is None:
a = list(self)
size = self.size = len(a)
bucket_size = int(math.ceil(math.sqrt(size / self.BUCKET_RATIO)))
self.a = [a[size * i // bucket_size: size * (i + 1) // bucket_size] for i in range(bucket_size)]
def __init__(self, a: Iterable[T] = []) -> None:
"Make a new SortedMultiset from iterable. / O(N) if sorted / O(N log N)"
a = list(a)
if not all(a[i] <= a[i + 1] for i in range(len(a) - 1)): # type: ignore
a = sorted(a) # type: ignore
self._build(a)
def __iter__(self) -> Iterator[T]:
for i in self.a:
for j in i:
yield j # type: ignore
def __reversed__(self) -> Iterator[T]:
for i in reversed(self.a):
for j in reversed(i):
yield j
def __len__(self) -> int:
return self.size
def __repr__(self) -> str:
return "SortedMultiset" + str(self.a)
def __str__(self) -> str:
s = str(list(self))
return "{" + s[1: len(s) - 1] + "}"
def _find_bucket(self, x: T) -> List[T]:
"Find the bucket which should contain x. self must not be empty."
for a in self.a:
if x <= a[-1]: # type: ignore
return a
return a # type: ignore
def __contains__(self, x: T) -> bool:
if self.size == 0:
return False
a = self._find_bucket(x)
i = bisect_left(a, x) # type: ignore
return i != len(a) and a[i] == x
def count(self, x: T) -> int:
"Count the number of x."
return self.index_right(x) - self.index(x)
def add(self, x: T) -> None:
"Add an element. / O(√N)"
if self.size == 0:
self.a = [[x]]
self.size = 1
return
a = self._find_bucket(x)
insort(a, x) # type: ignore
self.size += 1
if len(a) > len(self.a) * self.REBUILD_RATIO:
self._build()
def discard(self, x: T) -> bool:
"Remove an element and return True if removed. / O(√N)"
if self.size == 0:
return False
a = self._find_bucket(x)
i = bisect_left(a, x) # type: ignore
if i == len(a) or a[i] != x:
return False
a.pop(i)
self.size -= 1
if len(a) == 0:
self._build()
return True
def lt(self, x: T) -> Union[T, None]:
"Find the largest element < x, or None if it doesn't exist."
for a in reversed(self.a):
if a[0] < x: # type: ignore
return a[bisect_left(a, x) - 1] # type: ignore
return None
def le(self, x: T) -> Union[T, None]:
"Find the largest element <= x, or None if it doesn't exist."
for a in reversed(self.a):
if a[0] <= x: # type: ignore
return a[bisect_right(a, x) - 1] # type: ignore
return None
def gt(self, x: T) -> Union[T, None]:
"Find the smallest element > x, or None if it doesn't exist."
for a in self.a:
if a[-1] > x: # type: ignore
return a[bisect_right(a, x)] # type: ignore
return None
def ge(self, x: T) -> Union[T, None]:
"Find the smallest element >= x, or None if it doesn't exist."
for a in self.a:
if a[-1] >= x: # type: ignore
return a[bisect_left(a, x)] # type: ignore
return None
def __getitem__(self, x: int) -> T:
"Return the x-th element, or IndexError if it doesn't exist."
if x < 0:
x += self.size
if x < 0:
raise IndexError
for a in self.a:
if x < len(a):
return a[x] # type: ignore
x -= len(a)
raise IndexError
def index(self, x: T) -> int:
"Count the number of elements < x."
ans = 0
for a in self.a:
if a[-1] >= x: # type: ignore
return ans + bisect_left(a, x) # type: ignore
ans += len(a)
return ans
def index_right(self, x: T) -> int:
"Count the number of elements <= x."
ans = 0
for a in self.a:
if a[-1] > x: # type: ignore
return ans + bisect_right(a, x) # type: ignore
ans += len(a)
return ans
def main():
import sys
input = sys.stdin.readline
l, q = map(int, input().split())
s = SortedMultiset([0, l])
for i in range(q):
ci, xi = map(int, input().split())
if ci == 1:
s.add(xi)
else:
print(s.gt(xi) - s.lt(xi))
if __name__ == "__main__":
main()
| [
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] | |
f3e2452d08102097b71299f1835a5000ecc6f07d | e4f8b14cead542586a96bcaa75993b0a29b3c3d0 | /pyNastran/f06/test/test_f06.py | 1bd6ea7db2cd64bd4ae4a058a7e38f9e763c9e81 | [] | no_license | afcarl/cyNastran | f1d1ef5f1f7cb05f435eac53b05ff6a0cc95c19b | 356ee55dd08fdc9880c5ffba47265125cba855c4 | refs/heads/master | 2020-03-26T02:09:00.350237 | 2014-08-07T00:00:29 | 2014-08-07T00:00:29 | 144,398,645 | 1 | 0 | null | 2018-08-11T15:56:50 | 2018-08-11T15:56:50 | null | UTF-8 | Python | false | false | 5,968 | py | import os
import sys
import time
from traceback import print_exc
import pyNastran
from pyNastran.f06.f06 import F06
#from pyNastran.op2.test.test_op2 import parseTableNamesFromF06, getFailedFiles
def run_lots_of_files(files, debug=True, saveCases=True, skipFiles=[],
stopOnFailure=False, nStart=0, nStop=1000000000):
n = ''
iSubcases = []
failedCases = []
nFailed = 0
nTotal = 0
nPassed = 0
t0 = time.time()
for i, f06file in enumerate(files[nStart:nStop], nStart): # 149
baseName = os.path.basename(f06file)
#if baseName not in skipFiles and not baseName.startswith('acms') and i not in nSkip:
if baseName not in skipFiles:
print("%" * 80)
print('file=%s\n' % f06file)
n = '%s ' % (i)
sys.stderr.write('%sfile=%s\n' % (n, f06file))
nTotal += 1
isPassed = run_f06(f06file, iSubcases=iSubcases, debug=debug,
stopOnFailure=stopOnFailure) # True/False
if not isPassed:
sys.stderr.write('**file=%s\n' % (f06file))
failedCases.append(f06file)
nFailed += 1
else:
nPassed += 1
#sys.exit('end of test...test_f06.py')
if saveCases:
f = open('failedCases.in', 'wb')
for f06file in failedCases:
f.write('%s\n' % (f06file))
f.close()
print("dt = %s seconds" % (time.time() - t0))
#f06 = F06('test_tet10_subcase_1.f06')
#f06.readF06()
sys.exit('-----done with all models %s/%s=%.2f%% nFailed=%s-----' % (nPassed, nTotal, 100. * nPassed / float(nTotal), nTotal - nPassed))
def run_f06(f06_filename, iSubcases=[], write_f06=True, debug=False,
stopOnFailure=True):
isPassed = False
#stopOnFailure = False
#debug = True
try:
f06 = F06(debug=debug)
#f06.set_subcases(iSubcases) # TODO not supported
#f06.readBDF(f06.bdf_filename,includeDir=None,xref=False)
f06.read_f06(f06_filename)
#tableNamesF06 = parseTableNamesFromF06(f06.f06FileName)
#tableNamesF06 = f06.getTableNamesFromF06()
assert write_f06 == True, write_f06
if write_f06:
(model, ext) = os.path.splitext(f06_filename)
f06.write_f06(model + '.test_f06.f06')
#print "subcases = ",f06.subcases
#assert tableNamesF06==tableNamesF06,'tableNamesF06=%s tableNamesF06=%s' %(tableNamesF06,tableNamesF06)
#f06.caseControlDeck.sol = f06.sol
#print f06.caseControlDeck.getF06Data()
#print f06.print_results()
#print f06.caseControlDeck.getF06Data()
isPassed = True
except KeyboardInterrupt:
sys.stdout.flush()
print_exc(file=sys.stdout)
sys.stderr.write('**file=%r\n' % f06file)
sys.exit('keyboard stop...')
#except AddNewElementError:
# raise
#except IOError: # missing file
#pass
#except AssertionError:
# isPassed = True
#except InvalidFormatCodeError:
# isPassed = True
#except RuntimeError: #InvalidAnalysisCode
# isPassed = True
#except SyntaxError: #Invalid Markers
# isPassed = True
except SystemExit:
#print_exc(file=sys.stdout)
#sys.exit('stopping on sys.exit')
raise
#except NameError: # variable isnt defined
# if stopOnFailure:
# raise
# else:
# isPassed = True
#except AttributeError: # missing function
# if stopOnFailure:
# raise
# else:
# isPassed = True
#except KeyError:
# raise
#except TypeError: # numpy error
# isPassed = True
#except IndexError: # bad bdf
# isPassed = True
#except IOError: # missing bdf file
#isPassed = False
#raise
#except SyntaxError: #Invalid Subcase
# isPassed = True
#except SyntaxError: # Param Parse:
# isPassed = True
#except NotImplementedError:
#isPassed = True
#except InvalidFieldError: # bad bdf field
# isPassed = True
except:
#print e
print_exc(file=sys.stdout)
if stopOnFailure:
raise
else:
isPassed = False
print "isPassed =", isPassed
return isPassed
def main():
from docopt import docopt
msg = 'Tests to see if an F06 will work with pyNastran.\n'
msg += 'Usage:\n'
msg += ' f06.py [-f] [-p] [-q] F06_FILENAME'
msg += ' f06.py -h | --help\n'
msg += ' f06.py -v | --version\n'
msg += '\n'
msg += 'Positional Arguments:\n'
msg += ' F06_FILENAME path to F06 file\n'
msg += '\n'
msg += 'Options:\n'
msg += ' -q, --quiet prints debug messages (default=False)\n'
msg += ' -f, --write_f06 writes the f06 to fem.f06.out (default=True)\n'
msg += ' -h, --help show this help message and exit\n'
msg += " -v, --version show program's version number and exit\n"
# disabled b/c the F06 doesn't support complex well
#msg += ' -z, --is_mag_phase F06 Writer writes Magnitude/Phase instead of\n'
#msg += ' Real/Imaginary (still stores Real/Imag)\n'
if len(sys.argv) == 1:
sys.exit(msg)
ver = str(pyNastran.__version__)
data = docopt(msg, version=ver)
for key, value in sorted(data.iteritems()):
print("%-12s = %r" % (key.strip('--'), value))
if os.path.exists('skippedCards.out'):
os.remove('skippedCards.out')
run_f06(data['F06_FILENAME'],
write_f06 = data['--write_f06'],
debug = not(data['--quiet']),
stopOnFailure = True
)
if __name__ == '__main__': # f06
main()
| [
"mesheb82@abe5364a-6225-a519-111c-932ebcde5b3b"
] | mesheb82@abe5364a-6225-a519-111c-932ebcde5b3b |
6142e7a74039e267ec08477e21952b9991b89888 | 4ee5affb8b16ff7d26df9b19ffee8d675df11e4e | /nested-loops/train_the_trainers.py | ce76aebb5569e2ac15837eb95cccaa5edc35603a | [] | no_license | ayk-dev/python-basics | f60849f6502d64445105a0d27272d9910ea1d509 | af6d04f9001d9a45e8474f9bd4fa2b3ebe380c97 | refs/heads/main | 2023-01-12T11:56:12.210880 | 2020-11-17T20:06:40 | 2020-11-17T20:06:40 | 311,747,624 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 594 | py | n = int(input()) # number of people in jury
presentation_counter = 0
presentaion = input()
all_presentations_grades = 0
while presentaion != 'Finish':
total = 0
for pres in range(1, n + 1):
grade = float(input())
total += grade
average_grade = total / n
all_presentations_grades += average_grade
print(f'{presentaion} - {average_grade:.2f}.')
presentaion = input()
presentation_counter += 1
final_average = all_presentations_grades / presentation_counter
print(f"Student's final assessment is {final_average:.2f}.")
| [
"[email protected]"
] | |
c994ba0a911d0bf5726934a74e94cc5b6ea8197c | da878a03674024f290775b2c10d745edf091a4dc | /Global Fires/venv/Scripts/pip3-script.py | d05b0aa101ecf28df5c3555bf979ec367071f105 | [
"MIT"
] | permissive | EnriqueGambra/Global-Fires | 1b3aa5670dbb69804c733b865c7906f6e9698995 | 652606ccd573e7bfd7a232876f0b59fcefc15f9b | refs/heads/master | 2020-08-03T00:44:38.156931 | 2019-09-28T23:30:43 | 2019-09-28T23:30:43 | 211,568,271 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | #!"C:\Users\Owner\github-Repos\Global-Fires\Global Fires\venv\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')()
)
| [
"[email protected]"
] | |
74c3487b1ce6284d456f24c7a822e7f5b042c1b0 | 649bd422025e421d86025743eac324c9b882a2e8 | /exam/1_three-dimensional_atomic_system/dump/phasetrans/temp83_0.py | 55e6471489d774a44032f55978e0c9af8a653f9c | [] | no_license | scheuclu/atom_class | 36ddee1f6a5995872e858add151c5942c109847c | 0c9a8c63d9b38898c1869fe8983126cef17662cd | refs/heads/master | 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68,894 | py | ITEM: TIMESTEP
0
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
3.3480991349454570e-01 4.6865190086497961e+01
3.3480991349454570e-01 4.6865190086497961e+01
3.3480991349454570e-01 4.6865190086497961e+01
ITEM: ATOMS id type xs ys zs
8 1 0.130808 0.0685954 0.067749
35 1 0.0615812 0.131941 0.0620756
130 1 0.0673745 0.0640743 0.11748
165 1 0.131142 0.128914 0.121465
2 1 0.0695213 0.0667569 0.00435885
37 1 0.125561 0.133088 0.00372516
1 1 0.00214951 0.00360363 0.00137352
129 1 0.00721661 0.000399364 0.132507
133 1 0.12787 0.0091779 0.125678
3 1 0.0615281 0.00283245 0.0560259
33 1 0.00628241 0.122947 0.00199967
41 1 0.255074 0.120998 0.00247506
12 1 0.256702 0.0621165 0.0635116
39 1 0.18849 0.128713 0.0601789
43 1 0.314491 0.133976 0.0600459
134 1 0.190575 0.0721728 0.127107
138 1 0.312259 0.0636323 0.128498
169 1 0.249922 0.133413 0.117835
7 1 0.186992 0.00728301 0.0645151
137 1 0.250507 0.00351034 0.121993
6 1 0.189619 0.0663561 0.00165912
16 1 0.369832 0.065535 0.0613228
47 1 0.437339 0.134886 0.0575771
142 1 0.43311 0.0693917 0.124919
173 1 0.374931 0.129585 0.123094
145 1 0.49597 0.00509139 0.121231
20 1 0.490534 0.060222 0.0599609
15 1 0.433715 0.00178399 0.059005
14 1 0.429334 0.0650988 0.00372852
49 1 0.494926 0.120136 0.000961326
177 1 0.500933 0.127737 0.120011
24 1 0.618947 0.0656048 0.0659352
51 1 0.564982 0.123398 0.0535858
146 1 0.556652 0.0696211 0.120498
181 1 0.623493 0.127887 0.119896
149 1 0.621413 0.00203271 0.126088
19 1 0.55821 0.00671903 0.065014
28 1 0.744291 0.051325 0.0639339
55 1 0.682399 0.124839 0.0582936
59 1 0.812581 0.119231 0.0638001
150 1 0.688481 0.0611819 0.121978
154 1 0.799091 0.0663457 0.132579
185 1 0.746599 0.127579 0.125456
22 1 0.67589 0.0536424 0.00674597
57 1 0.74755 0.118531 0.00724268
26 1 0.819197 0.0635787 0.00609031
4 1 0.996363 0.0584481 0.0633073
161 1 0.996703 0.121693 0.122247
32 1 0.878943 0.0628986 0.0636405
63 1 0.931276 0.130829 0.0663827
158 1 0.933467 0.0579956 0.122245
189 1 0.877272 0.121874 0.130926
61 1 0.867437 0.135243 0.00464827
30 1 0.938778 0.0567226 0.000580732
40 1 0.125694 0.194609 0.0654106
67 1 0.0543099 0.249068 0.0724686
72 1 0.12366 0.312019 0.0666992
162 1 0.0688229 0.188212 0.127454
194 1 0.0574666 0.306123 0.127401
197 1 0.121783 0.247949 0.123449
36 1 0.000173399 0.183002 0.069021
69 1 0.113044 0.250965 0.00828519
34 1 0.06401 0.190304 0.00124161
44 1 0.242643 0.193217 0.0630084
71 1 0.186982 0.25364 0.0596591
75 1 0.306053 0.243772 0.0614634
76 1 0.254313 0.303096 0.0699722
166 1 0.187876 0.188445 0.125002
170 1 0.316137 0.184086 0.123622
198 1 0.189632 0.311759 0.129538
201 1 0.253681 0.249862 0.130996
202 1 0.321845 0.320619 0.13367
74 1 0.313776 0.313242 0.0055655
73 1 0.248241 0.25639 0.000483841
48 1 0.383878 0.190133 0.0542299
79 1 0.44665 0.247464 0.0529615
80 1 0.372873 0.311057 0.0600798
174 1 0.435719 0.19442 0.120077
205 1 0.374042 0.248904 0.115022
206 1 0.444925 0.299641 0.11928
84 1 0.504138 0.308064 0.0623404
52 1 0.50307 0.182235 0.0613968
209 1 0.5133 0.251198 0.12277
56 1 0.622931 0.183591 0.0613469
83 1 0.561503 0.242679 0.0566626
88 1 0.618381 0.316386 0.0585294
178 1 0.566574 0.184471 0.121372
210 1 0.568165 0.312496 0.125149
213 1 0.626406 0.250788 0.121887
60 1 0.748808 0.183019 0.0567971
87 1 0.685999 0.253104 0.0553365
91 1 0.804547 0.247052 0.0560679
92 1 0.747832 0.318432 0.0616899
182 1 0.69039 0.185775 0.117104
186 1 0.808283 0.182532 0.119399
214 1 0.68067 0.313849 0.121539
217 1 0.746881 0.247696 0.114411
218 1 0.811768 0.314322 0.114754
54 1 0.685855 0.18377 0.00494905
58 1 0.802232 0.184376 0.00288401
62 1 0.9406 0.191793 0.006952
93 1 0.873021 0.243789 0.00528555
193 1 0.999166 0.243232 0.135248
68 1 0.999754 0.30919 0.0644451
64 1 0.870868 0.18797 0.0687111
95 1 0.94118 0.253044 0.0627872
96 1 0.871386 0.31454 0.0528561
190 1 0.941147 0.187395 0.126725
221 1 0.881809 0.247341 0.122331
222 1 0.938404 0.310315 0.132704
94 1 0.94391 0.313816 0.00201044
1153 1 0.000742689 0.497468 0.119691
1027 1 0.0628977 0.491051 0.0670263
101 1 0.130759 0.379155 0.00167892
99 1 0.0673753 0.3724 0.0642353
104 1 0.132739 0.432169 0.06254
226 1 0.0654797 0.435363 0.125966
229 1 0.128378 0.36903 0.125893
1157 1 0.124968 0.497623 0.116302
97 1 1.37735e-05 0.371807 0.00414642
105 1 0.256089 0.371076 0.0117414
103 1 0.190901 0.369792 0.062353
107 1 0.317192 0.372 0.0646675
108 1 0.256967 0.440648 0.0749559
230 1 0.184297 0.431328 0.134146
233 1 0.254244 0.363377 0.125442
234 1 0.316812 0.442074 0.127498
1031 1 0.189927 0.497284 0.0727541
102 1 0.198861 0.437305 0.0100326
106 1 0.305361 0.444269 0.00570288
1169 1 0.495688 0.49476 0.129357
111 1 0.439739 0.370403 0.0596494
112 1 0.382055 0.432033 0.0645835
237 1 0.390137 0.373927 0.124025
238 1 0.445138 0.432259 0.129537
1165 1 0.381304 0.491683 0.12932
1039 1 0.438648 0.493656 0.0706543
116 1 0.503189 0.436567 0.0606158
241 1 0.500144 0.368258 0.121423
115 1 0.559084 0.376872 0.0574744
120 1 0.625103 0.441154 0.0575074
242 1 0.559678 0.442361 0.121917
245 1 0.623913 0.381813 0.116352
1043 1 0.559189 0.499218 0.0563459
117 1 0.622536 0.372631 7.60526e-05
113 1 0.503824 0.366053 0.00101907
114 1 0.556925 0.43937 0.000178973
119 1 0.690029 0.376238 0.0609137
123 1 0.815313 0.378998 0.0616236
124 1 0.759391 0.439723 0.0560861
246 1 0.685807 0.436367 0.126553
249 1 0.750717 0.380718 0.121318
250 1 0.819825 0.435973 0.123049
1047 1 0.694157 0.498194 0.057227
1177 1 0.753685 0.496646 0.118017
126 1 0.93435 0.439977 0.00627683
1053 1 0.882555 0.499621 0.00115897
225 1 0.996166 0.3724 0.125924
100 1 0.997643 0.433141 0.0620464
127 1 0.935941 0.368689 0.0662383
128 1 0.876206 0.441698 0.0601959
253 1 0.873727 0.365926 0.121554
254 1 0.935601 0.434055 0.120289
1055 1 0.939368 0.497967 0.0678297
1181 1 0.878863 0.499827 0.126726
259 1 0.0565572 0.000414809 0.308376
136 1 0.129436 0.064618 0.182635
163 1 0.0640827 0.123877 0.184253
258 1 0.0662541 0.0596461 0.251425
264 1 0.127049 0.0570362 0.306392
291 1 0.0732193 0.116105 0.319356
293 1 0.129167 0.123144 0.2474
289 1 0.00204297 0.125387 0.256579
131 1 0.0711838 0.000999719 0.194282
139 1 0.317293 0.000885977 0.18865
140 1 0.256016 0.055746 0.185537
167 1 0.190176 0.133277 0.185186
171 1 0.309518 0.125062 0.183755
262 1 0.187576 0.0652493 0.240892
266 1 0.317563 0.0575759 0.246528
268 1 0.249912 0.0540318 0.300983
295 1 0.187193 0.125175 0.315931
297 1 0.248099 0.116348 0.244811
299 1 0.310135 0.122105 0.308364
267 1 0.316216 0.00456555 0.306209
273 1 0.499105 0.00997211 0.246188
269 1 0.384073 0.000217788 0.247436
144 1 0.37568 0.0707162 0.182797
175 1 0.438743 0.133769 0.181454
270 1 0.436509 0.0691415 0.235673
272 1 0.380344 0.0652718 0.314133
301 1 0.373224 0.129184 0.243789
303 1 0.437185 0.120059 0.316603
305 1 0.495062 0.122584 0.250722
148 1 0.493762 0.0703723 0.182514
147 1 0.555132 0.00229531 0.185603
276 1 0.503994 0.0584305 0.313844
152 1 0.625503 0.0712222 0.182925
179 1 0.564569 0.123968 0.184759
274 1 0.569237 0.0610354 0.247504
280 1 0.629743 0.0629336 0.309739
307 1 0.56563 0.129756 0.306172
309 1 0.62913 0.123242 0.25323
281 1 0.747218 0.00396904 0.250125
155 1 0.813087 0.00253837 0.196412
283 1 0.812299 0.0109066 0.31619
156 1 0.74391 0.0670888 0.190519
183 1 0.684164 0.126009 0.180956
187 1 0.807814 0.126769 0.189073
278 1 0.690184 0.0685558 0.257577
282 1 0.809024 0.0675577 0.252296
284 1 0.750274 0.0698333 0.3201
311 1 0.685946 0.131985 0.312882
313 1 0.740982 0.135896 0.252441
315 1 0.80625 0.128088 0.31386
151 1 0.682924 0.000817487 0.185213
279 1 0.689308 0.00113855 0.31504
285 1 0.872135 0.000415968 0.257827
132 1 0.999423 0.065671 0.197055
159 1 0.934174 0.00318601 0.188882
260 1 0.997122 0.0699007 0.320016
160 1 0.876468 0.0687117 0.192343
191 1 0.936258 0.131905 0.189741
286 1 0.930376 0.0588509 0.253288
288 1 0.870897 0.0705589 0.314562
317 1 0.875712 0.127353 0.244116
319 1 0.930524 0.129582 0.315306
287 1 0.940206 0.00301296 0.315358
257 1 0.996595 0.00350416 0.250593
168 1 0.127209 0.191558 0.189696
195 1 0.0660123 0.251225 0.196061
200 1 0.125058 0.309582 0.187085
290 1 0.0712299 0.184039 0.258893
296 1 0.127664 0.183216 0.314672
322 1 0.0667037 0.312513 0.256821
323 1 0.0642226 0.250456 0.311865
325 1 0.130138 0.250571 0.257949
328 1 0.119002 0.314136 0.320616
321 1 0.000721527 0.241674 0.253799
172 1 0.251115 0.18914 0.185656
199 1 0.19344 0.247326 0.189114
203 1 0.31503 0.255798 0.181041
204 1 0.249209 0.309581 0.191835
294 1 0.190447 0.177052 0.254652
298 1 0.302164 0.175845 0.252911
300 1 0.248631 0.186913 0.321318
326 1 0.183707 0.313727 0.250178
327 1 0.188983 0.246045 0.312051
329 1 0.249613 0.251089 0.251748
330 1 0.313827 0.317204 0.247669
331 1 0.311272 0.248405 0.308032
332 1 0.243707 0.309753 0.311956
176 1 0.371865 0.192375 0.187245
207 1 0.438288 0.255202 0.19267
208 1 0.37923 0.317742 0.189826
302 1 0.431498 0.186668 0.245193
304 1 0.378788 0.180091 0.312252
333 1 0.370331 0.250343 0.248901
334 1 0.447412 0.311098 0.252938
335 1 0.436785 0.247291 0.30907
336 1 0.378604 0.313373 0.311762
308 1 0.493547 0.183053 0.307382
340 1 0.499381 0.309883 0.316631
212 1 0.505823 0.302948 0.18548
180 1 0.503677 0.188953 0.180575
337 1 0.507168 0.247042 0.249991
184 1 0.633089 0.196016 0.187141
211 1 0.569013 0.248835 0.186554
216 1 0.631089 0.312309 0.184568
306 1 0.558406 0.184284 0.243431
312 1 0.623391 0.19324 0.311526
338 1 0.562591 0.314372 0.260251
339 1 0.562076 0.243118 0.318261
341 1 0.623631 0.256272 0.25304
344 1 0.627891 0.29938 0.323897
188 1 0.745594 0.188846 0.179614
215 1 0.703908 0.259117 0.187684
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1021 1 0.877186 0.376375 0.889309
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993 1 0.996594 0.380287 0.878188
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23 1 0.676844 0.998508 0.0640805
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1274 1 0.809046 0.936992 0.125758
27 1 0.819132 0.997511 0.0685613
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1615 1 0.437456 0.746392 0.564988
1616 1 0.374605 0.80291 0.556984
1710 1 0.433157 0.68523 0.630239
1741 1 0.373031 0.745513 0.626219
1742 1 0.430077 0.808817 0.626754
1620 1 0.499628 0.813417 0.56158
1745 1 0.495118 0.748997 0.623059
1582 1 0.436609 0.686037 0.505048
1586 1 0.560263 0.689836 0.500605
1588 1 0.502896 0.689405 0.560717
1592 1 0.623943 0.680723 0.556968
1619 1 0.562727 0.753175 0.56814
1624 1 0.627815 0.805504 0.561308
1714 1 0.561984 0.687005 0.617026
1746 1 0.579373 0.813032 0.629986
1749 1 0.622096 0.747815 0.624301
1618 1 0.566936 0.805463 0.5003
1596 1 0.752166 0.67996 0.562281
1623 1 0.693012 0.747008 0.57195
1627 1 0.81554 0.751219 0.562735
1628 1 0.750553 0.807019 0.559189
1718 1 0.684203 0.682665 0.624207
1722 1 0.819246 0.686438 0.621419
1750 1 0.673784 0.812397 0.625214
1753 1 0.753367 0.7511 0.626049
1754 1 0.813362 0.815413 0.627734
1594 1 0.806022 0.68406 0.500437
1625 1 0.75078 0.750653 0.506146
1604 1 0.995347 0.811066 0.569382
1600 1 0.880317 0.694439 0.562016
1631 1 0.938456 0.750143 0.563102
1632 1 0.881275 0.808861 0.564992
1726 1 0.941066 0.697449 0.62793
1757 1 0.87879 0.752309 0.634008
1758 1 0.937595 0.806078 0.628623
1630 1 0.934778 0.80325 0.502442
1598 1 0.939184 0.69032 0.50195
1635 1 0.0541817 0.870841 0.56846
1640 1 0.12635 0.93388 0.562746
1762 1 0.0681476 0.932663 0.620367
1765 1 0.122891 0.87666 0.622708
1636 1 0.00157425 0.938534 0.562022
515 1 0.0703673 0.999518 0.560968
645 1 0.131743 0.995555 0.625593
1633 1 0.00532228 0.873063 0.504375
517 1 0.130482 0.993892 0.503383
1639 1 0.188148 0.877234 0.56338
1643 1 0.31236 0.869711 0.563016
1644 1 0.252374 0.933924 0.559707
1766 1 0.18728 0.937412 0.622797
1769 1 0.25338 0.879961 0.621401
1770 1 0.313217 0.932796 0.620364
649 1 0.247137 0.992232 0.621698
523 1 0.310493 0.996307 0.565896
519 1 0.192141 0.995749 0.55773
1642 1 0.315905 0.938842 0.500896
527 1 0.442207 0.990902 0.558618
1647 1 0.435686 0.866802 0.56337
1648 1 0.376841 0.940462 0.567177
1773 1 0.374848 0.875037 0.623439
1774 1 0.449204 0.93334 0.620878
653 1 0.373752 0.995633 0.623835
657 1 0.501091 0.995658 0.625647
1652 1 0.508506 0.927614 0.557993
1777 1 0.514153 0.876984 0.622685
1651 1 0.565307 0.863759 0.563472
1656 1 0.623787 0.9373 0.557918
1778 1 0.568042 0.940677 0.633984
1781 1 0.627751 0.879667 0.623737
535 1 0.690702 0.99469 0.556191
1658 1 0.811953 0.936467 0.50156
1655 1 0.687288 0.868958 0.558591
1659 1 0.815921 0.865259 0.56601
1660 1 0.748102 0.941139 0.559396
1782 1 0.68932 0.937411 0.623969
1785 1 0.749303 0.871937 0.624402
1786 1 0.809934 0.92365 0.625135
537 1 0.749148 0.999248 0.502024
665 1 0.748864 0.997697 0.628126
1761 1 0.994217 0.883749 0.623713
1662 1 0.937157 0.937996 0.50414
1663 1 0.940811 0.87562 0.559837
1664 1 0.870262 0.930471 0.564493
1789 1 0.881728 0.876805 0.630772
1790 1 0.937116 0.94171 0.618211
543 1 0.932132 0.999901 0.557159
1661 1 0.874568 0.873138 0.507702
513 1 0.993735 0.996835 0.503275
1672 1 0.128661 0.556564 0.69278
1699 1 0.0626459 0.622614 0.684618
1794 1 0.0584561 0.565807 0.754422
1800 1 0.117255 0.560376 0.816762
1827 1 0.0581086 0.621906 0.815313
1829 1 0.122176 0.626201 0.746265
1825 1 0.000927646 0.623167 0.748832
1667 1 0.0644101 0.510196 0.691298
1676 1 0.250939 0.565924 0.693475
1703 1 0.186532 0.618494 0.688592
1707 1 0.316606 0.623236 0.693135
1798 1 0.184798 0.555719 0.753055
1802 1 0.308803 0.55985 0.753777
1804 1 0.242829 0.555955 0.812048
1831 1 0.178174 0.61642 0.808433
1833 1 0.246819 0.623384 0.757083
1835 1 0.314235 0.617847 0.808405
1799 1 0.176944 0.502566 0.818962
1680 1 0.366963 0.553971 0.691225
1711 1 0.440018 0.622556 0.686064
1806 1 0.434579 0.55732 0.74967
1808 1 0.378216 0.556348 0.807915
1837 1 0.380236 0.620338 0.748389
1839 1 0.429927 0.624142 0.810753
1841 1 0.496434 0.618979 0.738948
1812 1 0.497855 0.569108 0.812532
1811 1 0.555183 0.505299 0.81179
1684 1 0.500338 0.56212 0.687628
1688 1 0.619556 0.560397 0.689018
1715 1 0.561802 0.624637 0.684268
1810 1 0.560588 0.569353 0.754978
1816 1 0.627843 0.564667 0.812796
1843 1 0.560764 0.627658 0.815531
1845 1 0.626142 0.624854 0.75372
1691 1 0.812886 0.510429 0.68981
1819 1 0.813908 0.5072 0.807933
1687 1 0.682539 0.500192 0.694734
1692 1 0.745767 0.570186 0.687849
1719 1 0.691758 0.638048 0.691398
1723 1 0.815 0.629478 0.688214
1814 1 0.685206 0.566238 0.749605
1818 1 0.807231 0.573731 0.746857
1820 1 0.750576 0.561896 0.810396
1847 1 0.691083 0.628666 0.821795
1849 1 0.741565 0.625369 0.750561
1851 1 0.814918 0.633615 0.808603
1817 1 0.749462 0.50167 0.749182
1668 1 0.994123 0.564479 0.689767
1796 1 0.992341 0.556906 0.819162
1821 1 0.875112 0.519107 0.750626
1696 1 0.868303 0.566617 0.686306
1727 1 0.931006 0.624428 0.687636
1822 1 0.938765 0.565836 0.751024
1824 1 0.873004 0.570549 0.81468
1853 1 0.878055 0.627869 0.749892
1855 1 0.937233 0.629258 0.815238
1704 1 0.127357 0.688403 0.685922
1731 1 0.0656157 0.739667 0.689659
1736 1 0.126642 0.81402 0.68583
1826 1 0.0630989 0.681175 0.751552
1832 1 0.126434 0.683295 0.812578
1858 1 0.0685548 0.813385 0.748242
1859 1 0.0654836 0.742769 0.804829
1861 1 0.123546 0.743764 0.749121
1864 1 0.123814 0.814739 0.809601
1732 1 0.00410423 0.811858 0.686413
1857 1 0.00546487 0.75727 0.743508
1700 1 0.00337364 0.685107 0.685149
1708 1 0.246202 0.684647 0.694699
1735 1 0.18533 0.748488 0.687897
1739 1 0.314409 0.745686 0.683164
1740 1 0.248577 0.815179 0.684342
1830 1 0.186578 0.687984 0.747689
1834 1 0.308037 0.680154 0.758826
1836 1 0.244019 0.691593 0.808686
1862 1 0.185986 0.814852 0.752746
1863 1 0.189409 0.755641 0.808953
1865 1 0.25004 0.752794 0.749262
1866 1 0.314838 0.823347 0.749681
1867 1 0.31622 0.757218 0.796315
1868 1 0.255785 0.820876 0.809593
1712 1 0.373635 0.686638 0.692328
1743 1 0.441849 0.749204 0.6858
1744 1 0.375673 0.816271 0.692405
1838 1 0.439246 0.684541 0.743689
1840 1 0.373856 0.685276 0.805048
1869 1 0.379728 0.744766 0.751222
1870 1 0.44066 0.803871 0.747369
1871 1 0.442798 0.75053 0.808357
1872 1 0.376326 0.820104 0.806345
1844 1 0.495254 0.682664 0.803896
1873 1 0.501716 0.750363 0.747141
1716 1 0.504841 0.69062 0.688428
1876 1 0.501742 0.812484 0.809302
1748 1 0.500809 0.815223 0.68336
1720 1 0.616985 0.684974 0.685445
1747 1 0.566337 0.751423 0.680909
1752 1 0.627526 0.82043 0.694109
1842 1 0.555983 0.681574 0.753152
1848 1 0.623222 0.688778 0.812994
1874 1 0.564661 0.803745 0.748038
1875 1 0.56412 0.748311 0.808607
1877 1 0.623871 0.746396 0.74477
1880 1 0.621131 0.807044 0.807666
1724 1 0.752983 0.689397 0.691297
1751 1 0.692449 0.752581 0.682638
1755 1 0.810602 0.753414 0.686071
1756 1 0.751069 0.812528 0.68141
1846 1 0.692438 0.694763 0.75718
1850 1 0.812349 0.694788 0.752263
1852 1 0.751713 0.686402 0.810863
1878 1 0.68747 0.809029 0.745115
1879 1 0.690596 0.75519 0.819292
1881 1 0.746244 0.754285 0.754112
1882 1 0.809917 0.812979 0.752302
1883 1 0.812113 0.748382 0.809449
1884 1 0.749354 0.812123 0.812536
1860 1 0.995338 0.81524 0.811748
1828 1 0.998973 0.683127 0.812445
1728 1 0.872015 0.688281 0.693198
1759 1 0.937343 0.750166 0.69745
1760 1 0.874753 0.810894 0.694431
1854 1 0.939853 0.688355 0.749811
1856 1 0.880896 0.695499 0.813197
1885 1 0.874497 0.750009 0.753822
1886 1 0.93311 0.819712 0.74887
1887 1 0.941366 0.748159 0.811771
1888 1 0.868601 0.815179 0.809952
771 1 0.0652551 0.998573 0.817833
1763 1 0.0595545 0.875037 0.679436
1768 1 0.122077 0.933827 0.686508
1890 1 0.0754607 0.939243 0.757212
1891 1 0.0665838 0.879346 0.812965
1893 1 0.129874 0.87298 0.753244
1896 1 0.127682 0.943416 0.823455
1764 1 0.000737483 0.948535 0.688658
1889 1 0.00152018 0.870852 0.740848
1892 1 0.00956521 0.939134 0.816562
769 1 0.00646791 0.996925 0.751376
651 1 0.312254 0.995286 0.684397
777 1 0.248955 0.995976 0.745769
1767 1 0.186497 0.873788 0.688215
1771 1 0.315509 0.873705 0.686776
1772 1 0.246137 0.938839 0.691968
1894 1 0.178034 0.943885 0.760966
1895 1 0.188015 0.870944 0.820605
1897 1 0.249049 0.872571 0.748926
1898 1 0.314196 0.934689 0.74448
1899 1 0.312011 0.879898 0.813035
1900 1 0.244108 0.933743 0.812697
779 1 0.302316 0.996075 0.813684
647 1 0.182582 0.993628 0.693338
781 1 0.368634 0.999751 0.748338
655 1 0.433668 0.998089 0.682406
785 1 0.494596 0.993296 0.746944
1775 1 0.439646 0.868516 0.679036
1776 1 0.379029 0.934447 0.679424
1901 1 0.376592 0.87721 0.745309
1902 1 0.432611 0.942566 0.750461
1903 1 0.431779 0.87466 0.821221
1904 1 0.369699 0.944457 0.815061
1908 1 0.489023 0.937407 0.816359
1905 1 0.498196 0.875171 0.744337
1780 1 0.496238 0.936127 0.689293
659 1 0.561137 0.993709 0.695018
1779 1 0.566371 0.877202 0.689495
1784 1 0.630843 0.940965 0.685754
1906 1 0.554945 0.937221 0.750168
1907 1 0.557115 0.880611 0.813823
1909 1 0.615933 0.874299 0.749116
1912 1 0.618265 0.940706 0.813014
795 1 0.812359 0.99992 0.809992
1783 1 0.691266 0.873545 0.68353
1787 1 0.816168 0.872625 0.688535
1788 1 0.74734 0.935007 0.690563
1910 1 0.685529 0.932213 0.742827
1911 1 0.686367 0.864264 0.810475
1913 1 0.74911 0.877539 0.743126
1914 1 0.814855 0.937031 0.747482
1915 1 0.808865 0.877879 0.807432
1916 1 0.744332 0.940419 0.808937
1791 1 0.938941 0.871601 0.685237
1792 1 0.877685 0.933984 0.691598
1917 1 0.872895 0.876231 0.754815
1918 1 0.938216 0.938037 0.754049
1919 1 0.93273 0.879161 0.814623
1920 1 0.875082 0.945752 0.811891
1925 1 0.115442 0.50013 0.882325
1922 1 0.0624937 0.56336 0.881055
1928 1 0.124154 0.560157 0.945431
1955 1 0.0643197 0.624432 0.942539
1957 1 0.120807 0.619835 0.882251
1924 1 0.00691918 0.564055 0.943627
1927 1 0.189645 0.505098 0.940493
1929 1 0.249734 0.501064 0.878832
1930 1 0.309503 0.5591 0.875755
1926 1 0.184794 0.561382 0.881998
1963 1 0.310629 0.615005 0.942467
1961 1 0.248489 0.616534 0.874031
1932 1 0.248518 0.562332 0.938656
1959 1 0.187392 0.625902 0.939319
1041 1 0.497269 0.50332 0.99081
1933 1 0.381089 0.504555 0.876314
1073 1 0.498667 0.620253 0.997603
1037 1 0.382452 0.500998 0.997237
1965 1 0.370931 0.617818 0.878549
1934 1 0.438366 0.566883 0.869529
1936 1 0.370007 0.559655 0.940722
1967 1 0.429809 0.620207 0.945876
1969 1 0.496138 0.63353 0.872352
1940 1 0.495981 0.568499 0.927648
1042 1 0.553235 0.559515 0.991594
1939 1 0.558882 0.500234 0.934215
1077 1 0.622034 0.619021 0.999373
1937 1 0.501454 0.500098 0.870899
1938 1 0.559521 0.566101 0.871358
1944 1 0.62387 0.563557 0.933492
1971 1 0.558954 0.625778 0.937839
1973 1 0.628654 0.624055 0.876901
1941 1 0.61971 0.503522 0.869527
1943 1 0.687763 0.512576 0.937344
1945 1 0.751291 0.501339 0.883137
1942 1 0.697516 0.562156 0.87082
1946 1 0.811446 0.558847 0.86926
1977 1 0.768596 0.630878 0.87158
1979 1 0.817754 0.629393 0.941844
1948 1 0.750465 0.561053 0.932377
1975 1 0.69477 0.626106 0.931374
1081 1 0.754896 0.618411 0.996646
1949 1 0.875218 0.50395 0.87256
1953 1 0.992481 0.625938 0.87819
1950 1 0.939078 0.56467 0.874298
1981 1 0.873885 0.631321 0.877664
1983 1 0.937413 0.622494 0.939802
1952 1 0.872688 0.561735 0.935327
1951 1 0.93788 0.506483 0.937786
1986 1 0.0698715 0.806325 0.870003
1987 1 0.0632812 0.74858 0.938523
1954 1 0.0556766 0.683892 0.87875
1992 1 0.126331 0.813577 0.938953
1989 1 0.129027 0.743516 0.867178
1960 1 0.121693 0.693166 0.928875
1985 1 0.00475754 0.752623 0.869966
1058 1 0.0649677 0.684551 0.997604
1094 1 0.187194 0.805347 0.995163
1098 1 0.317555 0.808865 0.995948
1097 1 0.250086 0.744663 0.997966
1996 1 0.241803 0.815243 0.934471
1990 1 0.184851 0.810403 0.879641
1994 1 0.316597 0.808941 0.876513
1958 1 0.191184 0.679829 0.871486
1993 1 0.247906 0.74988 0.874902
1964 1 0.245311 0.676424 0.93429
1995 1 0.312599 0.746914 0.936445
1962 1 0.311306 0.688372 0.874594
1991 1 0.190793 0.742122 0.933117
1066 1 0.312434 0.681681 0.996786
2000 1 0.374037 0.816024 0.936316
1966 1 0.425765 0.68362 0.868846
1997 1 0.372853 0.74833 0.876708
1999 1 0.435871 0.744228 0.926123
1998 1 0.434721 0.809243 0.873897
1968 1 0.36785 0.685098 0.939323
2001 1 0.498688 0.737869 0.865196
1972 1 0.497389 0.687418 0.934671
2004 1 0.494638 0.806411 0.937733
1070 1 0.435601 0.684571 0.99748
1101 1 0.378405 0.752876 0.990688
1106 1 0.565719 0.807593 0.993464
1074 1 0.564017 0.683227 0.994829
1105 1 0.501508 0.750519 0.996474
2003 1 0.559888 0.747135 0.93119
1976 1 0.626957 0.691464 0.936545
2005 1 0.627255 0.751546 0.873488
2002 1 0.560135 0.804248 0.870269
2008 1 0.621512 0.811488 0.93675
1970 1 0.561633 0.688494 0.867445
1109 1 0.628932 0.751041 0.99706
2006 1 0.689639 0.810962 0.877862
2012 1 0.760923 0.817648 0.93498
2009 1 0.750874 0.752182 0.872264
2011 1 0.811676 0.743974 0.936279
2010 1 0.812295 0.81434 0.870188
1980 1 0.751407 0.686871 0.933274
1974 1 0.69116 0.689354 0.874778
2007 1 0.700375 0.750969 0.941062
1978 1 0.820917 0.693206 0.877639
1110 1 0.699962 0.818602 0.99564
1114 1 0.824946 0.815628 0.9991
1956 1 0.999436 0.686185 0.937307
1988 1 0.995585 0.81517 0.940553
1982 1 0.94266 0.692717 0.876111
1984 1 0.883811 0.691165 0.939776
2016 1 0.871872 0.80527 0.931034
2015 1 0.936095 0.757894 0.936308
2013 1 0.87302 0.754588 0.8684
2014 1 0.938512 0.818933 0.868913
2017 1 0.0104741 0.872219 0.875095
2018 1 0.0641637 0.940272 0.879881
2021 1 0.122058 0.875625 0.876234
2024 1 0.121978 0.943024 0.939036
2020 1 0.0130986 0.93323 0.942253
2019 1 0.0689774 0.870519 0.94127
1122 1 0.0692996 0.941594 0.993751
905 1 0.243662 0.997242 0.87654
907 1 0.312456 0.989022 0.93389
2023 1 0.181154 0.877381 0.936318
2028 1 0.240474 0.938732 0.947242
2025 1 0.250772 0.869018 0.872725
2022 1 0.184045 0.938206 0.881224
2027 1 0.305709 0.884342 0.939571
2026 1 0.298802 0.93523 0.873704
1129 1 0.243674 0.871934 0.998796
9 1 0.257176 0.998053 0.998817
17 1 0.49963 0.993594 0.996769
2036 1 0.497658 0.935594 0.932123
2031 1 0.433783 0.873561 0.937563
2032 1 0.371095 0.927622 0.93481
2030 1 0.434524 0.944204 0.880385
1133 1 0.373849 0.877495 0.99641
2033 1 0.495125 0.873016 0.877088
2029 1 0.36751 0.871011 0.877305
13 1 0.376928 0.996454 0.991166
1134 1 0.438165 0.934005 0.99125
2035 1 0.561437 0.866497 0.934565
2034 1 0.556522 0.938878 0.877989
2040 1 0.620703 0.93928 0.93445
2037 1 0.627134 0.869473 0.868351
1138 1 0.560755 0.930604 0.993915
917 1 0.629312 0.998096 0.871117
1146 1 0.812314 0.944641 0.994347
2038 1 0.681985 0.934376 0.865693
921 1 0.749994 0.996311 0.874173
2042 1 0.815743 0.936553 0.872318
2044 1 0.751111 0.936747 0.93767
2043 1 0.8185 0.876889 0.938709
1142 1 0.685408 0.940446 0.996802
2041 1 0.747362 0.878802 0.874908
2039 1 0.679463 0.878265 0.9325
919 1 0.683039 0.996018 0.933229
1145 1 0.759272 0.877068 0.998892
25 1 0.741738 0.995281 0.994121
1149 1 0.882261 0.883536 0.997016
927 1 0.942771 0.995405 0.940353
2045 1 0.875798 0.875155 0.866489
2046 1 0.940973 0.942026 0.873173
2047 1 0.934804 0.876119 0.931346
2048 1 0.879052 0.944519 0.934353
1121 1 0.992805 0.873387 0.996621
1150 1 0.943477 0.935311 0.993898
29 1 0.88387 0.98976 0.999217
| [
"[email protected]"
] | |
ff22176a2b050a193f1882462e0d36e591e42784 | cb0e7d6493b23e870aa625eb362384a10f5ee657 | /solutions/python3/0567.py | 65478b7cc2fb087117f7698fe743cdccb13f091a | [] | no_license | sweetpand/LeetCode-1 | 0acfa603af254a3350d457803449a91322f2d1a7 | 65f4ef26cb8b2db0b4bf8c42bfdc76421b479f94 | refs/heads/master | 2022-11-14T07:01:42.502172 | 2020-07-12T12:25:56 | 2020-07-12T12:25:56 | 279,088,171 | 1 | 0 | null | 2020-07-12T15:03:20 | 2020-07-12T15:03:19 | null | UTF-8 | Python | false | false | 500 | py | class Solution:
def checkInclusion(self, s1: str, s2: str) -> bool:
count1 = collections.Counter(s1)
required = len(s1)
for r, c in enumerate(s2):
count1[c] -= 1
if count1[c] >= 0:
required -= 1
if r >= len(s1):
count1[s2[r - len(s1)]] += 1
if count1[s2[r - len(s1)]] > 0:
required += 1
if required == 0:
return True
return False
| [
"[email protected]"
] | |
52564c55ce188af128e41cc3810567e62b0cb71c | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_wisecracked.py | df762aa40f8d90ebf7ab0b38869d1bab6c31eb7e | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 236 | py |
#calss header
class _WISECRACKED():
def __init__(self,):
self.name = "WISECRACKED"
self.definitions = wisecrack
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['wisecrack']
| [
"[email protected]"
] | |
c1f7f5a8fdcb8e87bf303027ecd2d3053561bdfd | abb64b652cf908aaa17257464a12395b014b6093 | /test/test_quantized_nn_mods.py | 7203fb371c6255be2b47c7441de524a677698d85 | [
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | beifangfazhanlu/pytorch | 8a1c5a4a11b29da26af4d3839aff0ca22e4a298a | b7d992eb46a1e085d2b8b7f0df9817bf569616d3 | refs/heads/master | 2020-07-13T15:43:26.647301 | 2019-08-29T05:18:56 | 2019-08-29T05:20:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,424 | py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import torch
import torch.nn.quantized as nnq
import torch.nn.quantized.dynamic as nnqd
import torch.nn._intrinsic.quantized as nnq_fused
import torch.nn.quantized.functional as qF
from torch.nn.quantized.modules import Conv2d
from torch.nn._intrinsic.quantized import ConvReLU2d
import torch.quantization
from common_utils import run_tests, tempfile
from common_quantization import QuantizationTestCase, no_deadline, prepare_dynamic
from common_quantized import _calculate_dynamic_qparams
from hypothesis import given
from hypothesis import strategies as st
import unittest
'''
Note that tests in this file are just API test, to make sure we wrapped the
quantized operator implementations correctly in the user facing APIs, these are
not correctness test for the underlying quantized operators. For correctness
test please see `caffe2/test/test_quantized.py`.
'''
class FunctionalAPITest(QuantizationTestCase):
def test_relu_api(self):
X = torch.arange(-5, 5, dtype=torch.float)
scale = 2.0
zero_point = 1
qX = torch.quantize_linear(X, scale=scale, zero_point=zero_point, dtype=torch.quint8)
qY = torch.relu(qX)
qY_hat = qF.relu(qX)
self.assertEqual(qY, qY_hat)
@no_deadline
@unittest.skipIf(
not torch.fbgemm_is_cpu_supported(),
" Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs"
" with instruction set support avx2 or newer.",
)
@given(
use_bias=st.booleans(),
)
def test_conv_api(self, use_bias):
"""Tests the correctness of the conv module.
The correctness is defined against the functional implementation.
"""
N, iC, H, W = 10, 10, 10, 3
oC, g, kH, kW = 16, 1, 3, 3
scale, zero_point = 1.0 / 255, 128
stride = (1, 1)
i_padding = (0, 0)
dilation = (1, 1)
X = torch.randn(N, iC, H, W, dtype=torch.float32)
X = X.permute([0, 2, 3, 1]).contiguous()
qX = torch.quantize_linear(X, scale=scale, zero_point=128, dtype=torch.quint8)
w = torch.randn(oC, iC // g, kH, kW, dtype=torch.float32)
qw = torch.quantize_linear(w, scale=scale, zero_point=0, dtype=torch.qint8)
b = torch.randn(oC, dtype=torch.float32) if use_bias else None
q_bias = torch.quantize_linear(b, scale=1.0 / 1024, zero_point=0, dtype=torch.qint32) if use_bias else None
q_filters_ref = torch.ops.quantized.fbgemm_conv_prepack(qw.permute([0, 2, 3, 1]),
stride,
i_padding,
dilation,
g)
requantized_bias = torch.quantize_linear(q_bias.dequantize(), scale * scale, 0 , torch.qint32) if use_bias else None
ref_result = torch.ops.quantized.fbgemm_conv2d(qX.permute([0, 2, 3, 1]), q_filters_ref,
requantized_bias, stride,
i_padding, dilation,
g, scale, zero_point).permute([0, 3, 1, 2])
q_result = torch.nn.quantized.functional.conv2d(qX,
qw,
bias=q_bias, scale=scale,
zero_point=zero_point,
stride=stride, padding=i_padding,
dilation=dilation, groups=g,
dtype=torch.quint8)
self.assertEqual(ref_result, q_result)
class DynamicModuleAPITest(QuantizationTestCase):
@no_deadline
@unittest.skipIf(
not torch.fbgemm_is_cpu_supported(),
" Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs"
" with instruction set support avx2 or newer.",
)
@given(
batch_size=st.integers(1, 5),
in_features=st.integers(16, 32),
out_features=st.integers(4, 8),
use_bias=st.booleans(),
use_default_observer=st.booleans(),
)
def test_linear_api(self, batch_size, in_features, out_features, use_bias, use_default_observer):
"""test API functionality for nn.quantized.dynamic.Linear"""
W = torch.rand(out_features, in_features).float()
W_scale, W_zp = _calculate_dynamic_qparams(W, torch.qint8)
W_q = torch.quantize_linear(W, W_scale, W_zp, torch.qint8)
X = torch.rand(batch_size, in_features).float()
B = torch.rand(out_features).float() if use_bias else None
qlinear = nnqd.Linear(in_features, out_features)
# Run module with default-initialized parameters.
# This tests that the constructor is correct.
qlinear(X)
qlinear.set_weight(W_q)
# Simple round-trip test to ensure weight()/set_weight() API
self.assertEqual(qlinear.weight(), W_q)
W_pack = qlinear._packed_weight
qlinear.bias = B if use_bias else None
Z_dq = qlinear(X)
# Check if the module implementation matches calling the
# ops directly
Z_ref = torch.ops.quantized.fbgemm_linear_dynamic(X, W_pack, B)
self.assertEqual(Z_ref, Z_dq)
# Test serialization of dynamic quantized Linear Module using state_dict
model_dict = qlinear.state_dict()
self.assertEqual(model_dict['weight'], W_q)
if use_bias:
self.assertEqual(model_dict['bias'], B)
with tempfile.TemporaryFile() as f:
torch.save(model_dict, f)
f.seek(0)
loaded_dict = torch.load(f)
for key in model_dict:
self.assertEqual(model_dict[key], loaded_dict[key])
loaded_qlinear = nnqd.Linear(in_features, out_features)
loaded_qlinear.load_state_dict(loaded_dict)
linear_unpack = torch.ops.quantized.fbgemm_linear_unpack
self.assertEqual(linear_unpack(qlinear._packed_weight),
linear_unpack(loaded_qlinear._packed_weight))
if use_bias:
self.assertEqual(qlinear.bias, loaded_qlinear.bias)
self.assertTrue(dir(qlinear) == dir(loaded_qlinear))
self.assertTrue(hasattr(qlinear, '_packed_weight'))
self.assertTrue(hasattr(loaded_qlinear, '_packed_weight'))
self.assertTrue(hasattr(qlinear, 'weight'))
self.assertTrue(hasattr(loaded_qlinear, 'weight'))
self.assertEqual(qlinear.weight(), loaded_qlinear.weight())
self.assertEqual(qlinear.weight(), torch.ops.quantized.fbgemm_linear_unpack(qlinear._packed_weight))
Z_dq2 = qlinear(X)
self.assertEqual(Z_dq, Z_dq2)
# test serialization of module directly
with tempfile.TemporaryFile() as f:
torch.save(qlinear, f)
f.seek(0)
loaded = torch.load(f)
# This check is disabled pending an issue in PyTorch serialization:
# https://github.com/pytorch/pytorch/issues/24045
# self.assertEqual(qlinear.weight(), loaded.weight())
self.assertEqual(qlinear.zero_point, loaded.zero_point)
# Test JIT
self.checkScriptable(qlinear, list(zip([X], [Z_ref])), check_save_load=True)
# Test from_float
float_linear = torch.nn.Linear(in_features, out_features).float()
if use_default_observer:
float_linear.qconfig = torch.quantization.default_dynamic_qconfig
prepare_dynamic(float_linear)
float_linear(X.float())
quantized_float_linear = nnqd.Linear.from_float(float_linear)
# Smoke test to make sure the module actually runs
quantized_float_linear(X)
# Smoke test extra_repr
str(quantized_float_linear)
class ModuleAPITest(QuantizationTestCase):
def test_relu(self):
relu_module = nnq.ReLU()
relu6_module = nnq.ReLU6()
x = torch.arange(-10, 10, dtype=torch.float)
y_ref = torch.relu(x)
y6_ref = torch.nn.modules.ReLU6()(x)
qx = torch.quantize_linear(x, 1.0, 0, dtype=torch.qint32)
qy = relu_module(qx)
qy6 = relu6_module(qx)
self.assertEqual(y_ref, qy.dequantize(),
message="ReLU module API failed")
self.assertEqual(y6_ref, qy6.dequantize(),
message="ReLU6 module API failed")
@no_deadline
@unittest.skipIf(
not torch.fbgemm_is_cpu_supported(),
" Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs"
" with instruction set support avx2 or newer.",
)
@given(
batch_size=st.integers(1, 5),
in_features=st.integers(16, 32),
out_features=st.integers(4, 8),
use_bias=st.booleans(),
use_fused=st.booleans(),
)
def test_linear_api(self, batch_size, in_features, out_features, use_bias, use_fused):
"""test API functionality for nn.quantized.linear and nn._intrinsic.quantized.linear_relu"""
W = torch.rand(out_features, in_features).float()
W_q = torch.quantize_linear(W, 0.1, 4, torch.qint8)
X = torch.rand(batch_size, in_features).float()
X_q = torch.quantize_linear(X, 0.2, 10, torch.quint8)
B = torch.rand(out_features).float() if use_bias else None
B_q = torch.quantize_linear(B, W_q.q_scale() * X_q.q_scale(), 0, torch.qint32) if use_bias else None
scale = 0.5
zero_point = 3
if use_fused:
qlinear = nnq_fused.LinearReLU(in_features, out_features)
else:
qlinear = nnq.Linear(in_features, out_features)
# Run module with default-initialized parameters.
# This tests that the constructor is correct.
qlinear(X_q)
qlinear.set_weight(W_q)
# Simple round-trip test to ensure weight()/set_weight() API
self.assertEqual(qlinear.weight(), W_q)
W_pack = qlinear._packed_weight
qlinear.bias = B_q if use_bias else None
qlinear.scale = float(scale)
qlinear.zero_point = int(zero_point)
Z_q = qlinear(X_q)
# Check if the module implementation matches calling the
# ops directly
if use_fused:
Z_ref = torch.ops.quantized.fbgemm_linear_relu(X_q, W_pack, B_q, scale, zero_point)
else:
Z_ref = torch.ops.quantized.fbgemm_linear(X_q, W_pack, B_q, scale, zero_point)
self.assertEqual(Z_ref, Z_q)
# Test serialization of quantized Linear Module using state_dict
model_dict = qlinear.state_dict()
self.assertEqual(model_dict['weight'], W_q)
if use_bias:
self.assertEqual(model_dict['bias'], B_q)
with tempfile.TemporaryFile() as f:
torch.save(model_dict, f)
f.seek(0)
loaded_dict = torch.load(f)
for key in model_dict:
self.assertEqual(model_dict[key], loaded_dict[key])
if use_fused:
loaded_qlinear = nnq_fused.LinearReLU(in_features, out_features)
else:
loaded_qlinear = nnq.Linear(in_features, out_features)
loaded_qlinear.load_state_dict(loaded_dict)
linear_unpack = torch.ops.quantized.fbgemm_linear_unpack
self.assertEqual(linear_unpack(qlinear._packed_weight),
linear_unpack(loaded_qlinear._packed_weight))
if use_bias:
self.assertEqual(qlinear.bias, loaded_qlinear.bias)
self.assertEqual(qlinear.scale, loaded_qlinear.scale)
self.assertEqual(qlinear.zero_point, loaded_qlinear.zero_point)
self.assertTrue(dir(qlinear) == dir(loaded_qlinear))
self.assertTrue(hasattr(qlinear, '_packed_weight'))
self.assertTrue(hasattr(loaded_qlinear, '_packed_weight'))
self.assertTrue(hasattr(qlinear, 'weight'))
self.assertTrue(hasattr(loaded_qlinear, 'weight'))
self.assertEqual(qlinear.weight(), loaded_qlinear.weight())
self.assertEqual(qlinear.weight(), torch.ops.quantized.fbgemm_linear_unpack(qlinear._packed_weight))
Z_q2 = loaded_qlinear(X_q)
self.assertEqual(Z_q, Z_q2)
# test serialization of module directly
with tempfile.TemporaryFile() as f:
torch.save(qlinear, f)
f.seek(0)
loaded = torch.load(f)
# This check is disabled pending an issue in PyTorch serialization:
# https://github.com/pytorch/pytorch/issues/24045
# self.assertEqual(qlinear.weight(), loaded.weight())
self.assertEqual(qlinear.bias, loaded.bias)
self.assertEqual(qlinear.scale, loaded.scale)
self.assertEqual(qlinear.zero_point, loaded.zero_point)
# Test JIT
self.checkScriptable(qlinear, list(zip([X_q], [Z_ref])), check_save_load=True)
# Test from_float
float_linear = torch.nn.Linear(in_features, out_features).float()
float_linear.qconfig = torch.quantization.default_qconfig
torch.quantization.prepare(float_linear)
float_linear(X.float())
quantized_float_linear = torch.quantization.convert(float_linear)
# Smoke test to make sure the module actually runs
quantized_float_linear(X_q)
# Smoke test extra_repr
str(quantized_float_linear)
def test_quant_dequant_api(self):
r = torch.tensor([[1., -1.], [1., -1.]], dtype=torch.float)
scale, zero_point, dtype = 1.0, 2, torch.qint8
# testing Quantize API
qr = torch.quantize_linear(r, scale, zero_point, dtype)
quant_m = nnq.Quantize(scale, zero_point, dtype)
qr2 = quant_m(r)
self.assertEqual(qr, qr2)
# testing Dequantize API
rqr = qr.dequantize()
dequant_m = nnq.DeQuantize()
rqr2 = dequant_m(qr2)
self.assertEqual(rqr, rqr2)
@no_deadline
@unittest.skipIf(
not torch.fbgemm_is_cpu_supported(),
" Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs"
" with instruction set support avx2 or newer.",
)
@given(
use_bias=st.booleans(),
use_fused=st.booleans(),
)
def test_conv_api(self, use_bias, use_fused):
"""Tests the correctness of the conv module.
The correctness is defined against the functional implementation.
"""
N, iC, H, W = 10, 10, 10, 3
oC, g, kH, kW = 16, 1, 3, 3
scale, zero_point = 1.0 / 255, 128
X = torch.randn(N, iC, H, W, dtype=torch.float32)
X = X.permute([0, 2, 3, 1]).contiguous()
qX = torch.quantize_linear(X, scale=scale, zero_point=128, dtype=torch.quint8)
w = torch.randn(oC, iC // g, kH, kW, dtype=torch.float32)
qw = torch.quantize_linear(w, scale=scale, zero_point=0, dtype=torch.qint8)
b = torch.randn(oC, dtype=torch.float32) if use_bias else None
qb = torch.quantize_linear(b, scale=1.0 / 1024, zero_point=0, dtype=torch.qint32) if use_bias else None
if use_fused:
conv_under_test = ConvReLU2d(in_channels=iC,
out_channels=oC,
kernel_size=(kH, kW),
stride=1,
padding=0,
dilation=1,
groups=g,
bias=use_bias,
padding_mode='zeros')
else:
conv_under_test = Conv2d(in_channels=iC,
out_channels=oC,
kernel_size=(kH, kW),
stride=1,
padding=0,
dilation=1,
groups=g,
bias=use_bias,
padding_mode='zeros')
# Run module with default-initialized parameters.
# This tests that the constructor is correct.
conv_under_test(qX)
conv_under_test.set_weight(qw)
conv_under_test.bias = qb
conv_under_test.scale = scale
conv_under_test.zero_point = zero_point
# Test members
self.assertTrue(hasattr(conv_under_test, '_packed_weight'))
self.assertTrue(hasattr(conv_under_test, 'scale'))
self.assertTrue(hasattr(conv_under_test, 'zero_point'))
# Test properties
self.assertEqual(qw, conv_under_test.weight())
self.assertEqual(qb, conv_under_test.bias)
self.assertEqual(scale, conv_under_test.scale)
self.assertEqual(zero_point, conv_under_test.zero_point)
# Test forward
result_under_test = conv_under_test(qX)
result_reference = qF.conv2d(qX, qw, bias=qb,
scale=scale, zero_point=zero_point,
stride=1, padding=0,
dilation=1, groups=g, dtype=torch.quint8
)
if use_fused:
# result_reference < zero_point doesn't work for qtensor yet
# result_reference[result_reference < zero_point] = zero_point
MB, OC, OH, OW = result_reference.size()
for i in range(MB):
for j in range(OC):
for h in range(OH):
for w in range(OW):
if result_reference[i][j][h][w].int_repr() < zero_point:
# assign 0. that gets converted to zero_point
result_reference[i][j][h][w] = 0.
self.assertEqual(result_reference, result_under_test,
message="Tensors are not equal.")
# Test serialization of quantized Conv Module using state_dict
model_dict = conv_under_test.state_dict()
self.assertEqual(model_dict['weight'], qw)
if use_bias:
self.assertEqual(model_dict['bias'], qb)
with tempfile.NamedTemporaryFile() as f:
torch.save(model_dict, f)
f.seek(0)
loaded_dict = torch.load(f)
for key in model_dict:
self.assertEqual(loaded_dict[key], model_dict[key])
if use_fused:
loaded_conv_under_test = ConvReLU2d(in_channels=iC,
out_channels=oC,
kernel_size=(kH, kW),
stride=1,
padding=0,
dilation=1,
groups=g,
bias=use_bias,
padding_mode='zeros')
else:
loaded_conv_under_test = Conv2d(in_channels=iC,
out_channels=oC,
kernel_size=(kH, kW),
stride=1,
padding=0,
dilation=1,
groups=g,
bias=use_bias,
padding_mode='zeros')
loaded_conv_under_test.load_state_dict(loaded_dict)
self.assertEqual(loaded_conv_under_test.weight(), conv_under_test.weight())
if use_bias:
self.assertEqual(loaded_conv_under_test.bias, conv_under_test.bias)
self.assertEqual(loaded_conv_under_test.scale, conv_under_test.scale)
self.assertEqual(loaded_conv_under_test.zero_point, conv_under_test.zero_point)
self.assertTrue(dir(loaded_conv_under_test) == dir(conv_under_test))
self.assertTrue(hasattr(conv_under_test, '_packed_weight'))
self.assertTrue(hasattr(loaded_conv_under_test, '_packed_weight'))
self.assertTrue(hasattr(conv_under_test, 'weight'))
self.assertTrue(hasattr(loaded_conv_under_test, 'weight'))
self.assertEqual(loaded_conv_under_test.weight(), conv_under_test.weight())
self.assertEqual(loaded_conv_under_test.weight(), qw)
loaded_result = loaded_conv_under_test(qX)
self.assertEqual(loaded_result, result_reference)
with tempfile.NamedTemporaryFile() as f:
torch.save(conv_under_test, f)
f.seek(0)
loaded_conv = torch.load(f)
self.assertEqual(conv_under_test.bias, loaded_conv.bias)
self.assertEqual(conv_under_test.scale, loaded_conv.scale)
self.assertEqual(conv_under_test.zero_point, loaded_conv.zero_point)
# JIT testing
self.checkScriptable(conv_under_test, list(zip([qX], [result_reference])), check_save_load=True)
# Test from_float
float_conv = torch.nn.Conv2d(in_channels=iC,
out_channels=oC,
kernel_size=(kH, kW),
stride=1,
padding=0,
dilation=1,
groups=g,
bias=use_bias,
padding_mode='zeros').float()
float_conv.qconfig = torch.quantization.default_qconfig
torch.quantization.prepare(float_conv)
float_conv(X.float())
quantized_float_conv = torch.quantization.convert(float_conv)
# Smoke test to make sure the module actually runs
quantized_float_conv(qX)
# Check that bias is quantized based on output scale
if use_bias:
qbias = torch.quantize_linear(float_conv.bias, quantized_float_conv.scale / 2**16, 0, torch.qint32)
self.assertEqual(quantized_float_conv.bias.dequantize(), qbias.dequantize())
# Smoke test extra_repr
str(quantized_float_conv)
def test_pool_api(self):
"""Tests the correctness of the pool module.
The correctness is defined against the functional implementation.
"""
N, C, H, W = 10, 10, 10, 3
kwargs = {
'kernel_size': 2,
'stride': None,
'padding': 0,
'dilation': 1
}
scale, zero_point = 1.0 / 255, 128
X = torch.randn(N, C, H, W, dtype=torch.float32)
qX = torch.quantize_linear(X, scale=scale, zero_point=zero_point,
dtype=torch.quint8)
qX_expect = torch.nn.functional.max_pool2d(qX, **kwargs)
pool_under_test = torch.nn.quantized.MaxPool2d(**kwargs)
qX_hat = pool_under_test(qX)
self.assertEqual(qX_expect, qX_hat)
# JIT Testing
self.checkScriptable(pool_under_test, list(zip([X], [qX_expect])))
if __name__ == '__main__':
run_tests()
| [
"[email protected]"
] | |
28d7853629e519d31e6615eabe002706b6b08b38 | 4cb2bbd929ba3722d78cd6bd9feb2c5c0dd57025 | /olympic/forms.py | d27d0f59c4a933f98e12550b23203e2966edaad2 | [
"BSD-2-Clause"
] | permissive | mjtamlyn/tamlynscore | ebeebdc73feeab86995a2cb888e1bea203854553 | c6ac4e9a5e37dc3778b1f754b3143e44fa8dc0bc | refs/heads/master | 2023-08-24T11:00:16.153489 | 2023-08-08T11:30:24 | 2023-08-08T11:30:24 | 17,013,657 | 7 | 2 | BSD-3-Clause | 2023-08-05T19:52:51 | 2014-02-20T08:28:08 | Python | UTF-8 | Python | false | false | 3,102 | py | from django import forms
from .models import Result, SessionRound
class ResultForm(forms.ModelForm):
class Meta:
model = Result
exclude = ('match', 'seed')
class SetupForm(forms.Form):
SPREAD_CHOICES = (
('', 'No special options'),
('expanded', 'One target per archer'),
)
MATCH_CHOICES = (
('', 'All matches'),
('half', 'Only allocate half of the matches'),
('quarter', 'Only allocate 1/4 of the matches'),
('eighth', 'Only allocate 1/8 of the matches'),
('three-quarter', 'Only allocate 3/4 of the matches'),
('first-half', 'Only allocate first half of the matches / Final only'),
('second-half', 'Only allocate second half of the matches / Bronze only'),
)
LEVEL_CHOICES = (
(1, 'Finals'),
(2, 'Semis'),
(3, 'Quarters'),
(4, '1/8'),
(5, '1/16'),
(6, '1/32'),
(7, '1/64'),
(8, '1/128'),
)
TIMING_CHOICES = (
(1, 'Pass A'),
(2, 'Pass B'),
(3, 'Pass C'),
(4, 'Pass D'),
(5, 'Pass E'),
(6, 'Pass F'),
(7, 'Pass G'),
(8, 'Pass H'),
(9, 'Pass I'),
(10, 'Pass J'),
)
session_round = forms.ModelChoiceField(SessionRound.objects)
start = forms.IntegerField(label='Start target')
level = forms.TypedChoiceField(coerce=int, choices=LEVEL_CHOICES)
timing = forms.TypedChoiceField(label='Pass', coerce=int, choices=TIMING_CHOICES)
spread = forms.ChoiceField(label='Target spread', choices=SPREAD_CHOICES, required=False)
matches = forms.ChoiceField(label='Matches', choices=MATCH_CHOICES, required=False)
delete = forms.BooleanField(required=False)
def __init__(self, session_rounds, **kwargs):
self.session_rounds = session_rounds
super(SetupForm, self).__init__(**kwargs)
self.fields['session_round'].queryset = session_rounds
def save(self):
sr = self.cleaned_data['session_round']
kwargs = {
'level': self.cleaned_data['level'],
'start': self.cleaned_data['start'],
'timing': self.cleaned_data['timing'],
}
if sr.shot_round.team_type:
kwargs['expanded'] = True
if self.cleaned_data['spread'] == 'expanded':
kwargs['expanded'] = True
if self.cleaned_data['matches'] == 'half':
kwargs['half_only'] = True
if self.cleaned_data['matches'] == 'quarter':
kwargs['quarter_only'] = True
if self.cleaned_data['matches'] == 'eighth':
kwargs['eighth_only'] = True
if self.cleaned_data['matches'] == 'three-quarter':
kwargs['three_quarters'] = True
if self.cleaned_data['matches'] == 'first-half':
kwargs['first_half_only'] = True
if self.cleaned_data['matches'] == 'second-half':
kwargs['second_half_only'] = True
if self.cleaned_data['delete']:
sr.remove_matches(self.cleaned_data['level'])
else:
sr.make_matches(**kwargs)
| [
"[email protected]"
] | |
641aacc8b6854764e829d6932d4d0627ea980786 | 19d03d646fcee318cca8078af27636732290d77b | /parlai/utils/flake8.py | 1170b4bbb4a717b201637e00678bf96a87614026 | [
"MIT"
] | permissive | yongkyung-oh/CMU-Studio-Project | 2d6fe6ef6fa30fda1a4f2d1fc45c5b85d6143775 | 448492f342e8157df2e736aa52825b66b1d66fd7 | refs/heads/master | 2022-10-24T16:56:46.763865 | 2020-07-01T10:03:00 | 2020-07-01T10:03:00 | 252,878,283 | 2 | 5 | MIT | 2021-03-25T23:50:27 | 2020-04-04T01:02:44 | Python | UTF-8 | Python | false | false | 3,424 | py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Custom flake8 rules for ParlAI.
Includes:
- Checks for python3 shebang
- Check for copyright message
- Docformatter issues (TODO)
"""
import docformatter
import difflib
PYTHON_SHEBANG = '#!/usr/bin/env python3'
WHITELIST_PHRASES = ['Moscow Institute of Physics and Technology.']
WHITELIST_FNS = ["mlb_vqa"]
COPYRIGHT = [
"Copyright (c) Facebook, Inc. and its affiliates.",
"This source code is licensed under the MIT license found in the",
"LICENSE file in the root directory of this source tree.",
]
class ParlAIChecker:
"""
Custom flake8 checker for some special ParlAI requirements.
"""
name = 'flake8-parlai'
version = '0.1'
def __init__(self, tree=None, filename=None, lines=None):
self.filename = filename
self.lines = lines
def run(self):
if self.lines is None:
with open(self.filename) as f:
self.lines = f.readlines()
if self.lines and PYTHON_SHEBANG not in self.lines[0]:
yield (
1,
0,
'PAI100 Missing python3 shebang. (`#!/usr/bin/env python3`)',
'',
)
# check doc formatting
source = "".join(self.lines)
formatted_source = docformatter.format_code(
source,
pre_summary_newline=True,
description_wrap_length=88,
summary_wrap_length=88,
make_summary_multi_line=True,
force_wrap=False,
)
if source != formatted_source:
diff = difflib.unified_diff(
source.split('\n'), # have to strip newlines
formatted_source.split('\n'),
f'before/{self.filename}',
f'after/{self.filename}',
n=0,
lineterm='',
)
for line in diff:
if line.startswith('@@'):
fields = line.split()
# find out the beginning line of the docstring reformat. Example:
# --- /path/to/original timestamp
# +++ /path/to/new timestamp
# @@ -1,3 +1,9 @@
# that -1 says the first line changed, and 3 lines were removed
# with a new offset belonging at the first line, and 9
# inserted lines.
line_no, *_ = fields[1].split(',')
line_no = -int(line_no)
yield (
line_no,
1,
f'PAI101 autoformat.sh would reformat the docstring',
'',
)
# the rest is checking copyright, but there are some exceptions
# copyright must appear in the first 16 lines of the file.
source = "".join(self.lines[:16])
if any(wl in source for wl in WHITELIST_PHRASES):
return
for i, msg in enumerate(COPYRIGHT, 1):
if any(wl in self.filename for wl in WHITELIST_FNS) and i < 3:
continue
if source and msg not in source:
yield (i, 0, f'PAI20{i} Missing copyright `{msg}`', '')
| [
"[email protected]"
] | |
57e19bf0eacc2c9dc6bfd1452ebf6c427e698494 | 311ce6fbe1b264f2b656ba235371e756695dca53 | /forcing/dot_in/aestus1_A1_ae1/make_dot_in.py | 3e296f6d56c6863053a5285cd0f5d84cb28cdf8f | [
"MIT"
] | permissive | parkermac/LiveOcean | 94bc9cb9fba1bdc2e206488e0e2afadfafeabb34 | 4bd2776cf95780a7965a18addac3c5e395703ce5 | refs/heads/master | 2022-11-30T10:21:50.568014 | 2022-11-21T16:32:55 | 2022-11-21T16:32:55 | 35,834,637 | 7 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,180 | py | """
This creates and poulates directories for ROMS runs on gaggle. It is
designed to work with the "BLANK" version of the .in file,
replacing things like $whatever$ with meaningful values.
"""
import os
import sys
fpth = os.path.abspath('../../')
if fpth not in sys.path:
sys.path.append(fpth)
import forcing_functions as ffun
Ldir, Lfun = ffun.intro()
from datetime import datetime, timedelta
fdt = datetime.strptime(Ldir['date_string'], '%Y.%m.%d')
fdt_yesterday = fdt - timedelta(1)
print('- dot_in.py creating files for LiveOcean for ' + Ldir['date_string'])
#### USER DEFINED VALUES ####
gtag = Ldir['gtag']
gtagex = gtag + '_' + Ldir['ex_name']
EX_NAME = Ldir['ex_name'].upper()
multi_core = True # use more than one core
if Ldir['run_type'] == 'backfill':
days_to_run = 1.0
else:
days_to_run = 1.0
dtsec = 30 # time step in seconds INTEGER (should fit evenly into 3600 sec)
restart_nrrec = '-1' # '-1' for a non-crash restart file, otherwise '1' or '2'
his_interval = 3600 # seconds to define and write to history files
rst_interval = 1 # days between writing to the restart file (e.g. 5)
zqt_height = '2.0d0'
zw_height = '10.0d0'
#### END USER DEFINED VALUES ####
# DERIVED VALUES
if multi_core:
ntilei = '12' # number of tiles in I-direction (6)
ntilej = '6' # number of tiles in J-direction (12)
else:
ntilei = '1'
ntilej = '1'
if float(3600/dtsec) != 3600.0/dtsec:
print('** WARNING: dtsec does not fit evenly into 1 hour **')
dt = str(dtsec) + '.0d0' # a string version of dtsec, for the .in file
ninfo = int(his_interval/dtsec) # how often to write info to the log file (# of time steps)
nhis = int(his_interval/dtsec) # how often to write to the history files
ndefhis = int(nhis) # how often to create new history files
nrst = int(rst_interval*86400/dtsec)
ntimes = int(days_to_run*86400/dtsec)
# file location stuff
date_string = Ldir['date_string']
date_string_yesterday = fdt_yesterday.strftime('%Y.%m.%d')
dstart = str(int(Lfun.datetime_to_modtime(fdt) / 86400.))
f_string = 'f' + date_string
f_string_yesterday = 'f'+ date_string_yesterday
# where forcing files live (fjord, as seen from gaggle)
lo_dir = '/fjdata1/parker/LiveOcean/'
loo_dir = '/fjdata1/parker/LiveOcean_output/'
grid_dir = '/fjdata1/parker/LiveOcean_data/grids/' + Ldir['gridname'] + '/'
force_dir = loo_dir + gtag + '/' + f_string + '/'
roms_dir = '/pmr1/parker/LiveOcean_roms/'
roms_name = 'ROMS_820'
# the .in file
dot_in_name = 'liveocean.in' # name of the .in file
dot_in_dir0 = Ldir['roms'] + 'output/' + gtagex + '/'
Lfun.make_dir(dot_in_dir0) # make sure it exists
dot_in_dir = dot_in_dir0 + f_string +'/'
Lfun.make_dir(dot_in_dir, clean=True) # make sure it exists and is empty
# where to put the output files according to the .in file
out_dir0 = roms_dir + 'output/' + gtagex + '/'
out_dir = out_dir0 + f_string + '/'
atm_dir = 'atm/' # which atm forcing files to use
ocn_dir = 'ocnA/' # which ocn forcing files to use
riv_dir = 'riv1/' # which riv forcing files to use
tide_dir = 'tideA/' # which tide forcing files to use
if Ldir['start_type'] == 'continuation':
nrrec = '0' # '-1' for a hot restart
ininame = 'ocean_rst.nc' # for a hot perfect restart
#ininame = 'ocean_his_0025.nc' # for a hot restart
ini_fullname = out_dir0 + f_string_yesterday + '/' + ininame
elif Ldir['start_type'] == 'new':
nrrec = '0' # '0' for a history or ini file
ininame = 'ocean_ini.nc' # could be an ini or history file
ini_fullname = force_dir + ocn_dir + ininame
# END DERIVED VALUES
## create .in ##########################
f = open('BLANK.in','r')
f2 = open(dot_in_dir + dot_in_name,'w')
in_varlist = ['base_dir','ntilei','ntilej','ntimes','dt','nrrec','ninfo',
'nhis','dstart','ndefhis','nrst','force_dir','grid_dir','roms_dir',
'atm_dir','ocn_dir','riv_dir','tide_dir','dot_in_dir',
'zqt_height','zw_height','ini_fullname','out_dir','EX_NAME','roms_name']
for line in f:
for var in in_varlist:
if '$'+var+'$' in line:
line2 = line.replace('$'+var+'$', str(eval(var)))
line = line2
else:
line2 = line
f2.write(line2)
f.close()
f2.close()
| [
"[email protected]"
] | |
dff2b536322cbc8ac24cd00ed962fdad5d4bbba2 | 592961def9fe287a31e117649f1ac1e97b085a9b | /venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/alphabeticalattributes.py | a6582e6dd5b515ec3783b7ecc3ed81adffc4f3cb | [] | no_license | Rushin95/The_Trip_Planner-Lyft_vs_Uber | 62f03a1df8c6a0268089f50f4e80ec3d9b6b9870 | 4eeea4029eb4df047471b92065455a6828232293 | refs/heads/master | 2021-01-19T11:52:47.766019 | 2018-05-03T23:59:58 | 2018-05-03T23:59:58 | 82,268,914 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | from __future__ import absolute_import, division, unicode_literals
from . import base
try:
from collections import OrderedDict
except ImportError:
# noinspection PyUnresolvedReferences
from ordereddict import OrderedDict
class Filter(base.Filter):
def __iter__(self):
for token in base.Filter.__iter__(self):
if token["type"] in ("StartTag", "EmptyTag"):
attrs = OrderedDict()
for name, value in sorted(token["data"].items(),
key=lambda x: x[0]):
attrs[name] = value
token["data"] = attrs
yield token
| [
"[email protected]"
] | |
2e0a0431b921c67132029866d0dc9a2fe708b565 | e0268b6e868fcaaf6fc9c42b720e014c3ae41a20 | /scripts/make_bu_data.py | ee30a5f8470d550046a3ed6c5170a7e7aee29344 | [
"MIT"
] | permissive | gradio-app/ImageCaptioning.pytorch | 79208726dd09e1e532863af56c7a900b576cbca2 | 436d900d01139dc402b24425c60679409e0c9051 | refs/heads/master | 2022-11-15T03:27:38.775656 | 2020-07-12T22:44:30 | 2020-07-12T22:44:30 | 279,639,722 | 1 | 1 | MIT | 2020-07-14T16:37:47 | 2020-07-14T16:37:46 | null | UTF-8 | Python | false | false | 1,889 | py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import base64
import numpy as np
import csv
import sys
import zlib
import time
import mmap
import argparse
parser = argparse.ArgumentParser()
# output_dir
parser.add_argument('--downloaded_feats', default='data/bu_data', help='downloaded feature directory')
parser.add_argument('--output_dir', default='data/cocobu', help='output feature files')
args = parser.parse_args()
csv.field_size_limit(sys.maxsize)
FIELDNAMES = ['image_id', 'image_w','image_h','num_boxes', 'boxes', 'features']
infiles = ['trainval/karpathy_test_resnet101_faster_rcnn_genome.tsv',
'trainval/karpathy_val_resnet101_faster_rcnn_genome.tsv',\
'trainval/karpathy_train_resnet101_faster_rcnn_genome.tsv.0', \
'trainval/karpathy_train_resnet101_faster_rcnn_genome.tsv.1']
os.makedirs(args.output_dir+'_att')
os.makedirs(args.output_dir+'_fc')
os.makedirs(args.output_dir+'_box')
for infile in infiles:
print('Reading ' + infile)
with open(os.path.join(args.downloaded_feats, infile), "r+b") as tsv_in_file:
reader = csv.DictReader(tsv_in_file, delimiter='\t', fieldnames = FIELDNAMES)
for item in reader:
item['image_id'] = int(item['image_id'])
item['num_boxes'] = int(item['num_boxes'])
for field in ['boxes', 'features']:
item[field] = np.frombuffer(base64.decodestring(item[field]),
dtype=np.float32).reshape((item['num_boxes'],-1))
np.savez_compressed(os.path.join(args.output_dir+'_att', str(item['image_id'])), feat=item['features'])
np.save(os.path.join(args.output_dir+'_fc', str(item['image_id'])), item['features'].mean(0))
np.save(os.path.join(args.output_dir+'_box', str(item['image_id'])), item['boxes'])
| [
"[email protected]"
] | |
ce037214f60bd6c8975b5e9da15eaaa6acd30d83 | 685038d4be188fa72e9dba1d2213a47ee3aa00a2 | /ECOS2021/Demands/Inputs/Surveys/A/S3/Oct_S3_A.py | f3bb6b79446fe8f081e16398f9239662c9c7acc0 | [] | no_license | CIE-UMSS/Tradeoff-between-Installed-Capacity-and-Unserved-Energy | e5599e4e4ac60b97f0c4c57c5de95e493b1b5ac4 | 459f31552e3ab57a2e52167ab82f8f48558e173c | refs/heads/master | 2023-06-01T18:09:29.839747 | 2021-06-19T15:56:26 | 2021-06-19T15:56:26 | 343,720,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,968 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 31 14:33:07 2020
@author: alejandrosoto
Script for 2 class of household in Raqaypampa.
"""
# -*- coding: utf-8 -*-
"""
@author: Alejandro Soto
"""
from core import User, np
User_list = []
#User classes definition
HI = User("high income",1)
User_list.append(HI)
LI = User("low income",0)
User_list.append(LI)
'''
Base scenario (BSA): Indoor bulb (3), outdoor bulb (1), radio (1), tv (1), phone charger (2), Water Heater (1), Mixer (1)
Base scenario (B): Indoor bulb (3), outdoor bulb (1), radio (1), tv (1), phone charger (2)
A
Scenario 1: BSA + Fridge (1) + Freezer* (1).
Scenario 2: BSA + Fridge (1).
Scenario 3: BSA + Fridge (1)*.
Scenario 4: BSA + Freezer (1).
Scenario 5: BSA + Wheler (1).
Scerario 6: BSA + Grinder (1).
Scanerio 7: Add + Dryer (1),
Scenario 9: All
B
Scenario 8: BSB + Water Heater** (1).
Scenario 10: BSA + Pump Water (1).
Scenario 11: BSA + DVD (1).
Scenario 12: BSA + Blender (1).
Scenario 13: BSA + Iron (1).
Scerario 14: BSA + Mill (1).
* With seasonal variation
** Occasional use
Cold Months: May-Aug Std Cycle 8:00-18:00 Above 10 degrees
Warm Months: Jan-Apr Std Cycle 0:00-23:59 Above 10 degrees
Hot Nonths: Sep-Dec Std Cycle 0:00-10:00; 15:01-23:59 Above 10 degrees
Int Cycle 10:01-15:00
'''
#High-Income
#indoor bulb
HI_indoor_bulb = HI.Appliance(HI,3,7,1,320,0.6,190)
HI_indoor_bulb.windows([1080,1440],[0,0])
#outdoor bulb
HI_outdoor_bulb = HI.Appliance(HI,1,13,1,340,0.1,300)
HI_outdoor_bulb.windows([1100,1440],[0,0])
HI_Radio = HI.Appliance(HI,1,7,1,280,0.3,110)
HI_Radio.windows([420,708],[0,0])
#tv
HI_TV = HI.Appliance(HI,1,60,3,300,0.38,114)
HI_TV.windows([1140,1440],[651,1139],0.35,[300,650])
#phone charger
HI_Phone_charger = HI.Appliance(HI,2,5,3,250,0.4,95)
HI_Phone_charger.windows([1190,1440],[0,420],0.35,[421,1189])
#water_heater
HI_Water_heater = HI.Appliance(HI,1,150,1,60,0.05,30)
HI_Water_heater.windows([0,1440],[0,0])
#mixer
HI_Mixer = HI.Appliance(HI,1,50,1,10,0.5,5,occasional_use = 0.3)
HI_Mixer.windows([420,560],[0,0])
#fridge
HI_Fridge = HI.Appliance(HI,1,200,1,1440,0,30,'yes',3)
HI_Fridge.windows([0,1440],[0,0])
HI_Fridge.specific_cycle_1(200,20,5,10)
HI_Fridge.specific_cycle_2(200,15,5,15)
HI_Fridge.specific_cycle_3(200,10,5,20)
HI_Fridge.cycle_behaviour([570,990],[0,0],[0,480],[1170,1440],[481,569],[991,1169])
#Lower Income
#indoor bulb
LI_indoor_bulb = LI.Appliance(LI,3,7,2,287,0.4,124)
LI_indoor_bulb.windows([1153,1440],[0,300],0.5)
#outdoor bulb
LI_outdoor_bulb = LI.Appliance(LI,1,13,1,243,0.3,71)
LI_outdoor_bulb.windows([1197,1440],[0,0])
#radio
LI_Radio = LI.Appliance(LI,1,7,2,160,0.3,49)
LI_Radio.windows([480,840],[841,1200],0.5)
#TV
LI_TV = LI.Appliance(LI,1,100,3,250,0.3,74)
LI_TV.windows([1170,1420],[551,1169],0.3,[300,550])
#phone charger
LI_Phone_charger = LI.Appliance(LI,2,5,3,200,0.4,82)
LI_Phone_charger.windows([1020,1440],[0,420],0.3,[720,1019])
| [
"[email protected]"
] | |
df585f561e1bd0f95edb526fd662fc99e5cba754 | f56fda98a93cedcec33a7d9fbb330e5cf78031e1 | /Leetcode/45. Jump Game II.py | b2d963b2956cda7d0acaeac20324868e1d0d0149 | [] | no_license | GuanzhouSong/Leetcode_Python | 7a2bac42203fb6c0b671153d9e300eb0c73d39d1 | dbb9be177c5e572eb72a79508bb6e24f357d54b3 | refs/heads/master | 2021-09-25T04:10:09.217565 | 2018-10-17T22:31:41 | 2018-10-17T22:31:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 408 | py | import sys
class Solution:
def jump(self, nums):
mintimes = [0] + [sys.maxsize] * (len(nums) - 1)
for i in range(0, len(nums) - 1):
for j in range(1, min(nums[i] + 1, len(nums) - i)):
mintimes[i + j] = min(mintimes[i + j], mintimes[i] + 1)
return mintimes[-1]
s = Solution()
nums = [6, 2, 6, 1, 7, 9, 3, 5, 3, 7, 2, 8, 9, 4, 7, 7, 2, 2, 8, 4, 6, 6, 1, 3]
print(s.jump2(nums))
| [
"[email protected]"
] | |
382ab283e99868eb7c25aae590e703339aa079d0 | f4b694982027ac362de1e9d6755f2943d0355a06 | /DECSKS-12 -- debugging the recast from DECSKS-09 by comparing with v1.2/v1.2/DECSKS/lib/diagnostics.py | e4234421bf17641907309887eb6c7504590672c3 | [] | no_license | dsirajud/IPython-notebooks | 55275e44191c16f5393571522787993f931cfd98 | 6ad9d978c611558525fc9d716af101dc841a393b | refs/heads/master | 2021-01-15T15:33:57.119172 | 2016-07-13T20:08:29 | 2016-07-13T20:08:29 | 35,054,473 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,472 | py | import DECSKS
import numpy as np
import sys # to retrieve smallest float for lower bound tolerance
def HighPrecisionE(number):
"""Converts a number into a string object
while retaining a chosen degree of precision. This
is designed to evade the truncation that is involved
with str() so that outputs can store numbers with high
precision
inputs:
number -- (number)
outputs:
string object with chosen precision in scientific notation
"""
return "%.22e" % number
def calcs_and_writeout(sim_params,f,n,x,v):
"""orchestrates the calculation of various quantities, e.g.
Lp norms, energy, electrostatic energy, ...
inputs:
files -- (dict) contains output filenames to be written to
f -- (ndarray, ndim=3), f(t,x,v)
n -- (int) time step number, t^n
x -- (instance) space variable
v -- (instance) velocity variable
outputs:
None
"""
#I = "invariant", I1 = L1 norm invariant, etc.
if sim_params['record_outputs'] == 'yes':
I1 = L1(f,n,x,v)
I2 = L2(f,n,x,v)
# electrostatic terms
E = DECSKS.lib.fieldsolvers.Poisson(sim_params['ni'], f, x, v, n)
IW = total_energy(f,n,x,v,E)
WE = electrostatic_energy(x,E)
S = entropy(f,n,x,v)
# write to files
sim_params['outfiles']['I1'].write(HighPrecisionE(I1) + '\n')
sim_params['outfiles']['I2'].write(HighPrecisionE(I2) + '\n')
sim_params['outfiles']['IW'].write(HighPrecisionE(IW) + '\n')
sim_params['outfiles']['WE'].write(HighPrecisionE(WE) + '\n')
sim_params['outfiles']['S'].write(HighPrecisionE(S) + '\n')
if n == sim_params['Nt']:
close_all_outfiles(sim_params)
return None
def L1(f,n,x,v):
"""computes the L1 norm
inputs:
f -- (ndarray, ndim=3), f(t,x,v)
n -- (int) time step number, t^n
x -- (instance) space variable
v -- (instance) velocity variable
outputs:
I1 -- (float) L1 norm
"""
return np.sum(f[n,:,:]) * x.width * v.width
def L2(f,n,x,v):
"""computes the square of the L2 norm. Note, the intended
purpose of this computation is to compare with its deviation
from the value at time zero. To minimize compounded errors
from redundant operations, a squareroot is not taken here
and should be applied later if desired,
e.g. np.sqrt( (L2[t] - L2[0]) / L2[0])
inputs:
f -- (ndarray, ndim=3), f(t,x,v)
n -- (int) time step number, t^n
x -- (instance) space variable
v -- (instance) velocity variable
outputs:
I2 -- (float) L2 norm
"""
# compute the square of the L2 norm below to minimize
# compounded error from repeated operations like squareroot
return np.sum(f[n,:,:]**2) * x.width * v.width
def total_energy(f,n,x,v,E):
"""computes the total energy for a Vlasov-Poisson system
IW = 1/2 sum_i sum_j f[n,i,j] dx dv + 1/2 sum_i E[i] dx
inputs:
f -- (ndarray, ndim=3), f(t,x,v)
n -- (int) time step number, t^n
x -- (instance) space variable
v -- (instance) velocity variable
E -- (ndarray, ndim=1), E(x) at t^n
outputs:
IW -- (float) total energy at time t^n in system
"""
return 1/2.*np.sum(f[n,:,:] * v.cells **2) * x.width * v.width \
+ 1/2. * np.sum(E**2) * x.width
def electrostatic_energy(x,E):
"""computes the electrostic energy WE = 1/2 sum_i E[i] dx
inputs:
E -- (ndarray, ndim=1) E(x) at t^n
x -- (instance) space variable
outputs:
WE -- (float) electrostatic energy at time t^n
"""
return 1/2.* np.sum(E**2)* x.width
def entropy(f,n,x,v):
"""computes the entropy S at time t^n,
S = sum_i sum_j f_[n,i,j] * ln (f[n,i,j] + eps) dxdv
inputs:
f -- (ndarray, ndim=3), f(t,x,v)
n -- (int) time step number, t^n
x -- (instance) space variable
v -- (instance) velocity variable
outputs:
S -- (float) entropy at time t^n
"""
eps = sys.float_info.min # to evade taking np.log(0)
return np.sum(f[n,:,:] * np.log(f[n,:,:] + eps)) * x.width * v.width
def close_all_outfiles(sim_params):
"""Closes all opened output files inside dictionary
sim_params['outfiles']
inputs:
sim_params -- (dict) simulation parameters, includes dict of outfiles
outputs:
None
"""
if sim_params['outfiles'] is not None:
for outfile in sim_params['outfiles'].itervalues():
outfile.close()
return None
| [
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] | |
bfcab4cecd2a7d8e3946cf55d03659e839d25b3d | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/82/usersdata/165/44623/submittedfiles/decimal2bin.py | b07134dde6b2df7bd468626e44d12cc75e301ed4 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | # -*- coding: utf-8 -*-
n=int(input('digite n:'))
i=0
soma=0
while n>0:
resto=n%10
soma=soma+resto*(2**i)
n=n//10
i=i+1
print(soma)
| [
"[email protected]"
] | |
9feacf0a85e2b4cb750a3f12f786d8971b96efc5 | 54f352a242a8ad6ff5516703e91da61e08d9a9e6 | /Source Codes/AtCoder/arc042/B/4081354.py | 8eea907c466a07c6b45bfcd05fcae80479294c1a | [] | no_license | Kawser-nerd/CLCDSA | 5cbd8a4c3f65173e4e8e0d7ed845574c4770c3eb | aee32551795763b54acb26856ab239370cac4e75 | refs/heads/master | 2022-02-09T11:08:56.588303 | 2022-01-26T18:53:40 | 2022-01-26T18:53:40 | 211,783,197 | 23 | 9 | null | null | null | null | UTF-8 | Python | false | false | 250 | py | #!/usr/bin/env python3
p = complex(*list(map(int, input().split())))
N = int(input())
li = [complex(*list(map(int, input().split()))) for _ in range(N)]
li += [li[0]]
m = min(((p - a) / (b - a)).imag * abs(b - a) for a, b in zip(li, li[1:]))
print(m) | [
"[email protected]"
] | |
55e546f6119a07a5c3ec899c648a6d4fb3a1b7f0 | 1b29279e1517cb331657539825d0b6259582d00d | /hdrstats.py | b64985b3ecdbe30431cf81221b380822baaa8439 | [
"Unlicense"
] | permissive | OCHA-DAP/dap-scrapers | 1671a0f52ce19150dacae724394f893f87508f5e | 3beb34acfe5bf5f2fd7d2a15857264a1e65bcf08 | refs/heads/master | 2022-01-18T17:38:23.097214 | 2021-12-22T20:19:56 | 2021-12-22T20:19:56 | 13,861,733 | 4 | 2 | null | 2016-03-31T17:18:08 | 2013-10-25T13:42:20 | Python | UTF-8 | Python | false | false | 5,440 | py | import re
import lxml.html
import requests
import xypath
import StringIO
import messytables
#from hamcrest import equal_to, is_in
from orm import session, Value, DataSet, Indicator
import orm
import dateutil.parser
#import re
indicator_list = """
100106
38906
68606
89006
101406
98706
57506
38006
69706
103006
105906""".strip().split('\n')
"""Value: dsID, region, indID, period, value, source, is_number
DataSet: dsID, last_updated, last_scraped, name
Indicator: indID, name, units
"""
def disasters():
baseurl = "http://hdrstats.undp.org/en/tables/displayByRow.cfm"
data = {"selectedCountries": "3,103,203,403,503,703,803,903,1103,1203,1303,1403,1503,1603,1703,1803,1903,2003,2103,2303,2403,2503,2603,2703,2903,3003,3103,3203,3303,3403,3503,3603,3803,3903,4003,4103,4203,4303,4403,4503,4703,4803,4903,5003,5103,5203,5303,5403,5503,5603,5703,5803,5903,6003,6103,6203,6303,6603,6703,6803,7103,7203,7303,7403,7503,7703,7903,8203,8303,8403,8503,8603,8803,8903,9003,9103,9203,9303,9403,9503,9603,9803,9903,10003,10103,10203,10303,10403,10503,10603,10703,10803,10903,11003,11103,11203,11303,11403,11503,11603,11703,11803,12103,12203,12303,12403,12503,12603,12703,12903,13003,13203,13303,13403,13503,13603,13703,13903,14003,14103,14203,14303,14403,14503,14803,14903,15003,15103,15503,15603,15703,15803,15903,16003,16103,16203,16303,16403,16603,16703,16903,17103,17203,17303,17503,17603,17803,17903,18003,18103,18203,18303,18403,18603,18703,18803,18903,19003,19103,19203,19303,19403,19503,19603,19703,19903,20003,20103,20203,20403,20503,20603,12003,20703,20803,21003,21103,21203,21303,21403,21603,21703,21803,21903,22003,22103,22203,22303,22403,22503,22603,23003,23103,23203,202,2,102,2602,302,402,602,702,502,902,802,1002,1202,1102,1402,1302,1502,1602,1702,2202,1802,2002,1902,2302,2102,2402,2502,2702,3402,3302,3502,3702,3602,3802,3902,4002,4102,",
"selectedIndicators": "98606,",
"selectedYears": "1960,1970,1980,1985,1990,1995,2000,2005,2006,2007,2008,2009,2010,2011,2012,",
"language": "en",
"displayIn": "row"}
html = requests.post(baseurl, data=data).content
return html, baseurl
def getindicator(ind="100106", overridefunction=None):
if not overridefunction:
baseurl = 'http://hdrstats.undp.org/en/indicators/display_cf_xls_indicator.cfm?indicator_id=%s&lang=en' % ind
html = requests.get(baseurl).content
else:
html, baseurl = overridefunction()
value = {'dsID': 'HDRStats',
'indID': "HDR:"+ind,
'source': baseurl,
'is_number': True}
dataset = {'dsID': 'HDRStats',
'last_scraped': orm.now(),
'name': 'Human Development Indicators, UNDP'}
indicator = {'indID': "HDR:"+ind}
hdi_indicator = {'indID': 'HDR:HDI Rank',
'name': 'Human Development Index rank',
'units': ''}
Indicator(**hdi_indicator).save()
DataSet(**dataset).save()
print html
exit(3)
htmlio = StringIO.StringIO(html)
messy = messytables.html.HTMLTableSet(htmlio)
table = xypath.Table.from_messy(list(messy.tables)[0])
root = lxml.html.fromstring(html)
"get odd indicator / update time"
indicator_text = root.xpath("//h2/text()")[-1]
print indicator_text
try:
indicator_split, = re.findall("(.*)\(([^\(\)]+)\)", indicator_text)
except ValueError:
indicator_split = [indicator_text, ""]
indicator['name'], indicator['units'] = indicator_split
indicator['name'] = indicator['name'].strip()
access_text, = [x.tail.strip() for x in root.xpath("//br") if str(x.tail) != "None" and x.tail.strip()]
access_date_raw, = re.findall('Accessed:(.*)from', access_text)
dataset['last_updated'] = dateutil.parser.parse(access_date_raw).isoformat()
print dataset['last_updated'], indicator['name'], "*", indicator['units']
Indicator(**indicator).save()
country_cell = table.filter("Country").assert_one()
years = country_cell.fill(xypath.RIGHT).filter(lambda b: b.value != '')
countries = country_cell.fill(xypath.DOWN)
hdi_rank = table.filter("HDI Rank").assert_one()
max_year = max(year.value for year in years)
for i in countries.junction(hdi_rank):
newvalue = dict(value)
newvalue['indID'] = "HDR:HDI Rank"
newvalue['region'] = get_region(i[0])
newvalue['value'] = i[2].value.strip()
newvalue['period'] = 2012 # TODO Hard coded for now because year it pertains to is not clear
if newvalue['value'].strip() != '..':
Value(**newvalue).save()
for i in countries.junction(years):
newvalue = dict(value)
newvalue['region'] = get_region(i[0])
newvalue['value'] = i[2].value.strip()
newvalue['period'] =i[1].value.strip()
if newvalue['value'].strip() != '..':
Value(**newvalue).save()
print newvalue
session.commit()
def get_region(country):
region_el=lxml.html.fromstring(country.properties['html'])
try:
link, = region_el.xpath('//a/@href')
except ValueError: # non-countries don't have links.
niceregion = country.value.strip()
else:
niceregion, = re.findall("profiles/([^\.]*)\.html", link)
return niceregion
#getindicator("98606", disasters)
#exit()
for ind in indicator_list:
print ind
getindicator(ind)
| [
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] | |
79f62a7ee6eb1f0d6df192c475af8fec47ca39a9 | ea5af064f6583c4dc244627f67bf51a9119347a9 | /crypto.py | 4c6a27ad97768b78070c68886cdd9f351d4f73f8 | [] | no_license | celiyan/PyPassManager | 034c10cfe594d365822dc836e0f0143e02ac25e3 | fda994b44b7a003825e16bbcaffd07cf094e04b7 | refs/heads/master | 2022-12-19T19:51:29.714559 | 2020-10-15T05:16:37 | 2020-10-15T05:16:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,530 | py | from Crypto.Cipher import AES
from os import urandom
def pad(txt):
"AES CBC requires the number of plaintext bytes to be a multiple of 16, so we pad it to the nearest multiple. Takes&Returns bytes object."
padding_length = AES.block_size - len(txt)%AES.block_size
# we pad with a character = to the padding length, to make unpadding easy
padding = chr(padding_length) * padding_length
return txt+padding.encode()
def unpad(txt):
"To get just the encrypted data back, we need to undo any meaningless padding we added to satisfy length requirements. Takes&Returns bytes object."
padding_length = txt[-1] # length is stored as the character code of the padding
return txt[:-padding_length]
def encrypt(raw, key):
"Encrypt bytes using AES CBC, and a random InitialVector that is stored at the start. Inputs two bytes objects: plaintext & key. Returns ciphertext as bytes object."
iv = urandom(AES.block_size)
key = key[:32] # key must be 32 bytes, masterpass hash is 64 bytes
cipher = AES.new(key, AES.MODE_CBC, iv)
return iv+cipher.encrypt(pad(raw)) # store iv so it can be decoded
def decrypt(data, key):
"Decrypt bytes using AES CBC, extracting the InitialVector from the start. Inputs two bytes objects: ciphertext & key. Returns plaintext as bytes object."
iv, data = data[:AES.block_size], data[AES.block_size:] # extract the iv from the start
key = key[:32] # key must be 32 bytes, masterpass hash is 64 bytes
cipher = AES.new(key, AES.MODE_CBC, iv)
return unpad(cipher.decrypt(data)) | [
"[email protected]"
] | |
8284303e2d78a6089a9fd4c7ccbb37454b2e67c4 | 503d2f8f5f5f547acb82f7299d86886691966ca5 | /atcoder/abc200_c.py | e206350c17a0371913a9b0f7696b9550c9039895 | [] | no_license | Hironobu-Kawaguchi/atcoder | 3fcb649cb920dd837a1ced6713bbb939ecc090a9 | df4b55cc7d557bf61607ffde8bda8655cf129017 | refs/heads/master | 2023-08-21T14:13:13.856604 | 2023-08-12T14:53:03 | 2023-08-12T14:53:03 | 197,216,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 278 | py | # https://atcoder.jp/contests/abc200/tasks/abc200_c
from collections import Counter
n = int(input())
a = list(map(int, (input().split())))
for i in range(n):
a[i] %= 200
cnt = Counter(a)
ans = 0
for i, v in cnt.items():
if v>=2:
ans += v*(v-1) // 2
print(ans)
| [
"[email protected]"
] | |
c344c8404ac954642b6f02f8f20bca296c731bae | 5fc6b5a420b9cb2a7d5102df55b0b5248f8199e1 | /pypykatz/commons/winapi/local/function_defs/live_reader_ctypes.py | aa2bae8f03b5ebc283d8a225b8ccda4bdf88894b | [
"MIT"
] | permissive | ASkyeye/pypykatz | 8e1c598d57017fd400b9a8d830ed314be7562b96 | 8ad07f2f6f0c4904f9a77c711f693d6c794a7fb4 | refs/heads/master | 2021-07-03T13:48:34.350145 | 2020-11-14T22:50:30 | 2020-11-14T22:50:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,565 | py | import os
import sys
import ctypes
import enum
import logging
from pypykatz import logger
from .ntdll import *
from .kernel32 import *
from .psapi import *
class WindowsMinBuild(enum.Enum):
WIN_XP = 2500
WIN_2K3 = 3000
WIN_VISTA = 5000
WIN_7 = 7000
WIN_8 = 8000
WIN_BLUE = 9400
WIN_10 = 9800
#utter microsoft bullshit commencing..
def getWindowsBuild():
class OSVersionInfo(ctypes.Structure):
_fields_ = [
("dwOSVersionInfoSize" , ctypes.c_int),
("dwMajorVersion" , ctypes.c_int),
("dwMinorVersion" , ctypes.c_int),
("dwBuildNumber" , ctypes.c_int),
("dwPlatformId" , ctypes.c_int),
("szCSDVersion" , ctypes.c_char*128)];
GetVersionEx = getattr( ctypes.windll.kernel32 , "GetVersionExA")
version = OSVersionInfo()
version.dwOSVersionInfoSize = ctypes.sizeof(OSVersionInfo)
GetVersionEx( ctypes.byref(version) )
return version.dwBuildNumber
DELETE = 0x00010000
READ_CONTROL = 0x00020000
WRITE_DAC = 0x00040000
WRITE_OWNER = 0x00080000
SYNCHRONIZE = 0x00100000
STANDARD_RIGHTS_REQUIRED = DELETE | READ_CONTROL | WRITE_DAC | WRITE_OWNER
STANDARD_RIGHTS_ALL = STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE
if getWindowsBuild() >= WindowsMinBuild.WIN_VISTA.value:
PROCESS_ALL_ACCESS = STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE | 0xFFFF
else:
PROCESS_ALL_ACCESS = STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE | 0xFFF
PROCESS_QUERY_INFORMATION = 0x0400
PROCESS_VM_READ = 0x0010
#https://msdn.microsoft.com/en-us/library/windows/desktop/ms683217(v=vs.85).aspx
def enum_process_names():
pid_to_name = {}
for pid in EnumProcesses():
if pid == 0:
continue
pid_to_name[pid] = 'Not found'
try:
process_handle = OpenProcess(PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, False, pid)
except Exception as e:
continue
pid_to_name[pid] = QueryFullProcessImageNameW(process_handle)
return pid_to_name
def get_lsass_pid():
pid_to_name = enum_process_names()
for pid in pid_to_name:
if pid_to_name[pid].lower().find('lsass.exe') != -1:
return pid
raise Exception('Failed to find lsass.exe')
def enum_lsass_handles():
#searches for open LSASS process handles in all processes
# you should be having SE_DEBUG enabled at this point
RtlAdjustPrivilege(20)
lsass_handles = []
sysinfohandles = NtQuerySystemInformation(16)
for pid in sysinfohandles:
if pid == 4:
continue
#if pid != GetCurrentProcessId():
# continue
for syshandle in sysinfohandles[pid]:
#print(pid)
try:
pHandle = OpenProcess(PROCESS_DUP_HANDLE, False, pid)
except Exception as e:
logger.debug('Error opening process %s Reason: %s' % (pid, e))
continue
try:
dupHandle = NtDuplicateObject(pHandle, syshandle.Handle, GetCurrentProcess(), PROCESS_QUERY_INFORMATION|PROCESS_VM_READ)
#print(dupHandle)
except Exception as e:
logger.debug('Failed to duplicate object! PID: %s HANDLE: %s' % (pid, hex(syshandle.Handle)))
continue
oinfo = NtQueryObject(dupHandle, ObjectTypeInformation)
if oinfo.Name.getString() == 'Process':
try:
pname = QueryFullProcessImageNameW(dupHandle)
if pname.lower().find('lsass.exe') != -1:
logger.info('Found open handle to lsass! PID: %s HANDLE: %s' % (pid, hex(syshandle.Handle)))
#print('%s : %s' % (pid, pname))
lsass_handles.append((pid, dupHandle))
except Exception as e:
logger.debug('Failed to obtain the path of the process! PID: %s' % pid)
continue
return lsass_handles
| [
"[email protected]"
] | |
84be026c4a9decd8c8cbeb0044e6269de46348c9 | c383840367c09a4aa3762d224b17b742fe53eb31 | /GANs_Advanced/DiscoGAN/train_DiscoGAN_org.py | 081a29ab949a0e8e7a706e48f2d192a1060b2e74 | [] | no_license | qzq2514/GAN | 04f3f1ff6437d6805369f28b207a8f726a112d11 | a313deb08884c2ce60d4fc3834b79a8518e38f44 | refs/heads/master | 2020-09-21T17:32:00.913453 | 2020-01-17T05:02:18 | 2020-01-17T05:02:18 | 224,866,070 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,800 | py | from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.python.framework import graph_util
import tensorflow.contrib.slim as slim
from DataLoader import Pix2Pix_loader
from net.DiscoGAN import DiscoGAN
import tensorflow as tf
import numpy as np
import scipy.misc
import os
os.environ['CUDA_VISIBLE_DEVICES']='1'
image_height = 64
image_width = 64
batch_size = 64
sample_num = 10
Train_Step = 30005
starting_rate = 0.01
change_rate = 0.5
learning_rate = 0.0002
#读取未分开的成对数据
image_dir = "/media/cgim/data/GAN/data/edges2shoes/"
model_name = "DiscoGAN_1227"
model_path="/media/cgim/dataset/models/"+model_name
pb_path=os.path.join(model_path,"pb/")
ckpt_path=os.path.join(model_path,"ckpt/")
result_dir=model_path+"/result"
if not os.path.exists(result_dir):
os.makedirs(result_dir)
if not os.path.exists(pb_path):
os.makedirs(pb_path)
if not os.path.exists(ckpt_path):
os.makedirs(ckpt_path)
def train():
input_A_place = tf.placeholder(tf.float32,shape=[None,image_height,image_width, 3],name="input_A")
input_B_place = tf.placeholder(tf.float32, shape=[None, image_height,image_width, 3], name="input_B")
is_training_place = tf.placeholder_with_default(False, shape=(),name="is_training")
reconst_rate_place = tf.placeholder(tf.float32, shape=(),name="reconst_rate")
discoGan = DiscoGAN(is_training_place,reconst_rate_place)
G_loss,D_loss = discoGan.build_DiscoGAN(input_A_place,input_B_place)
g_vars,d_vars = discoGan.get_vars()
global_step = tf.Variable(-1, trainable=False,name="global_step")
global_step_increase = tf.assign(global_step, tf.add(global_step, 1))
train_op_D = tf.train.AdamOptimizer(learning_rate, beta1=0.5).minimize(D_loss, var_list=d_vars)
train_op_G = tf.train.AdamOptimizer(learning_rate, beta1=0.5).minimize(G_loss, var_list=g_vars)
A2B_out,ABA_out = discoGan.sample_generate(input_A_place, "A2B")
A2B_output = tf.identity(A2B_out, name="A2B_output")
B2A_out,BAB_out = discoGan.sample_generate(input_B_place, "B2A")
B2A_output = tf.identity(B2A_out, name="B2A_output")
saver = tf.train.Saver()
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
ckpt = tf.train.get_checkpoint_state(ckpt_path)
if ckpt and ckpt.model_checkpoint_path:
ckpt_name = os.path.basename(ckpt.model_checkpoint_path)
saver.restore(sess, os.path.join(ckpt_path, ckpt_name))
_global_step = sess.run(global_step_increase)
dataLoader = Pix2Pix_loader(image_dir, image_height, image_width,batch_size=batch_size,global_step=_global_step)
while _global_step<Train_Step:
if _global_step<10000:
reconst_rate = starting_rate
else:
reconst_rate = change_rate
images_A,images_B = dataLoader.next_batch() #0~255
feed_dict = {input_A_place:images_A,input_B_place:images_B,
is_training_place:True,reconst_rate_place:reconst_rate}
if _global_step%2==0:
sess.run(train_op_D,feed_dict=feed_dict)
sess.run(train_op_G, feed_dict=feed_dict)
_global_step,_D_loss,_G_loss = sess.run([global_step,D_loss,G_loss],
feed_dict=feed_dict)
if _global_step%50==0:
print("Step:{},Reconst_rate:{},D_loss:{},G_loss:{}".format(_global_step,reconst_rate, _D_loss, _G_loss,))
if _global_step%100==0:
test_images_A, test_images_B = dataLoader.random_next_test_batch()
#save result form A to B
_A2B_output,_ABA_out = sess.run([A2B_output,ABA_out],feed_dict={input_A_place:test_images_A})
_A2B_output = (_A2B_output + 1) / 2 * 255.0
_ABA_out = (_ABA_out + 1) / 2 * 255.0
for ind,trg_image in enumerate(_A2B_output[:sample_num]):
scipy.misc.imsave(result_dir + "/{}_{}_A.jpg".format(_global_step,ind),test_images_A[ind])
scipy.misc.imsave(result_dir + "/{}_{}_A2B.jpg".format(_global_step,ind), _A2B_output[ind])
scipy.misc.imsave(result_dir + "/{}_{}_ABA.jpg".format(_global_step, ind), _ABA_out[ind])
# save result form B to A
_B2A_output,_BAB_out = sess.run([B2A_output,BAB_out], feed_dict={input_B_place: test_images_B})
_B2A_output = (_B2A_output + 1) / 2 * 255.0
_BAB_out = (_BAB_out + 1) / 2 * 255.0
for ind,trg_image in enumerate(_B2A_output[:sample_num]):
scipy.misc.imsave(result_dir + "/{}_{}_B.jpg".format(_global_step,ind),test_images_B[ind])
scipy.misc.imsave(result_dir + "/{}_{}_B2A.jpg".format(_global_step,ind), _B2A_output[ind])
scipy.misc.imsave(result_dir + "/{}_{}_BAB.jpg".format(_global_step, ind), _BAB_out[ind])
if _global_step==Train_Step-5:
# 保存PB
constant_graph = graph_util.convert_variables_to_constants(sess, sess.graph_def,
["A2B_output","B2A_output"])
save_model_name = model_name + "-" + str(_global_step) + ".pb"
with tf.gfile.FastGFile(pb_path + save_model_name, mode="wb") as fw:
fw.write(constant_graph.SerializeToString())
# 保存CKPT
saver.save(sess, ckpt_path + model_name + ".ckpt", global_step=_global_step)
print("Successfully saved model {}".format(save_model_name))
return
_global_step = sess.run(global_step_increase)
if __name__ == '__main__':
train() | [
"[email protected]"
] | |
d235aec102d27ca4fae3b8e5d215f502675ae6fb | 17c366bf8aa9fed59fb3d91db06142860cb9ce38 | /nbs/examples/mnist_blocks.py | 14043be821f6c97c3bf782edb3b9b4b097f38029 | [
"Apache-2.0"
] | permissive | dienhoa/fastai | 3f4884f9fb96f9e5199e33b959478dfa0bbfa0d4 | fdce0330e05ae02db90c3456f9fc2827c3cf86a0 | refs/heads/master | 2022-04-14T06:27:52.994595 | 2022-04-13T21:24:27 | 2022-04-13T21:24:27 | 154,803,492 | 0 | 0 | Apache-2.0 | 2018-10-26T08:38:44 | 2018-10-26T08:38:43 | null | UTF-8 | Python | false | false | 422 | py | from fastai.vision.all import *
splitter = GrandparentSplitter(train_name='training', valid_name='testing')
mnist = DataBlock(blocks=(ImageBlock(PILImageBW), CategoryBlock),
get_items=get_image_files, splitter=splitter, get_y=parent_label)
if __name__ == '__main__':
data = mnist.dataloaders(untar_data(URLs.MNIST), bs=256)
learn = cnn_learner(data, resnet18)
learn.fit_one_cycle(1, 1e-2)
| [
"[email protected]"
] | |
cb4ed431777e8b10a7599b169d74a3f947751042 | c16ea32a4cddb6b63ad3bacce3c6db0259d2bacd | /google/ads/googleads/v5/googleads-py/tests/unit/gapic/googleads.v5/services/test_ad_service.py | 8c1b9a30e2d2d599c646bfa72dbe5b188716250f | [
"Apache-2.0"
] | permissive | dizcology/googleapis-gen | 74a72b655fba2565233e5a289cfaea6dc7b91e1a | 478f36572d7bcf1dc66038d0e76b9b3fa2abae63 | refs/heads/master | 2023-06-04T15:51:18.380826 | 2021-06-16T20:42:38 | 2021-06-16T20:42:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 34,485 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
from unittest import mock
import grpc
import math
import pytest
from proto.marshal.rules.dates import DurationRule, TimestampRule
from google.ads.googleads.v5.common.types import ad_asset
from google.ads.googleads.v5.common.types import ad_type_infos
from google.ads.googleads.v5.common.types import custom_parameter
from google.ads.googleads.v5.common.types import final_app_url
from google.ads.googleads.v5.common.types import url_collection
from google.ads.googleads.v5.enums.types import ad_type
from google.ads.googleads.v5.enums.types import app_url_operating_system_type
from google.ads.googleads.v5.enums.types import call_conversion_reporting_state
from google.ads.googleads.v5.enums.types import device
from google.ads.googleads.v5.enums.types import display_ad_format_setting
from google.ads.googleads.v5.enums.types import display_upload_product_type
from google.ads.googleads.v5.enums.types import legacy_app_install_ad_app_store
from google.ads.googleads.v5.enums.types import mime_type
from google.ads.googleads.v5.enums.types import response_content_type
from google.ads.googleads.v5.enums.types import served_asset_field_type
from google.ads.googleads.v5.enums.types import system_managed_entity_source
from google.ads.googleads.v5.resources.types import ad
from google.ads.googleads.v5.services.services.ad_service import AdServiceClient
from google.ads.googleads.v5.services.services.ad_service import transports
from google.ads.googleads.v5.services.types import ad_service
from google.api_core import client_options
from google.api_core import gapic_v1
from google.api_core import grpc_helpers
from google.auth import credentials as ga_credentials
from google.auth.exceptions import MutualTLSChannelError
from google.oauth2 import service_account
from google.protobuf import field_mask_pb2 # type: ignore
import google.auth
def client_cert_source_callback():
return b"cert bytes", b"key bytes"
# If default endpoint is localhost, then default mtls endpoint will be the same.
# This method modifies the default endpoint so the client can produce a different
# mtls endpoint for endpoint testing purposes.
def modify_default_endpoint(client):
return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT
def test__get_default_mtls_endpoint():
api_endpoint = "example.googleapis.com"
api_mtls_endpoint = "example.mtls.googleapis.com"
sandbox_endpoint = "example.sandbox.googleapis.com"
sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
non_googleapi = "api.example.com"
assert AdServiceClient._get_default_mtls_endpoint(None) is None
assert AdServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
assert AdServiceClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint
assert AdServiceClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint
assert AdServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint
assert AdServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
def test_ad_service_client_from_service_account_info():
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory:
factory.return_value = creds
info = {"valid": True}
client = AdServiceClient.from_service_account_info(info)
assert client.transport._credentials == creds
assert client.transport._host == 'googleads.googleapis.com:443'
def test_ad_service_client_from_service_account_file():
creds = ga_credentials.AnonymousCredentials()
with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory:
factory.return_value = creds
client = AdServiceClient.from_service_account_file("dummy/file/path.json")
assert client.transport._credentials == creds
client = AdServiceClient.from_service_account_json("dummy/file/path.json")
assert client.transport._credentials == creds
assert client.transport._host == 'googleads.googleapis.com:443'
def test_ad_service_client_get_transport_class():
transport = AdServiceClient.get_transport_class()
assert transport == transports.AdServiceGrpcTransport
transport = AdServiceClient.get_transport_class("grpc")
assert transport == transports.AdServiceGrpcTransport
@mock.patch.object(AdServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdServiceClient))
def test_ad_service_client_client_options():
# Check that if channel is provided we won't create a new one.
with mock.patch('google.ads.googleads.v5.services.services.ad_service.AdServiceClient.get_transport_class') as gtc:
transport = transports.AdServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials()
)
client = AdServiceClient(transport=transport)
gtc.assert_not_called()
# Check that if channel is provided via str we will create a new one.
with mock.patch('google.ads.googleads.v5.services.services.ad_service.AdServiceClient.get_transport_class') as gtc:
client = AdServiceClient(transport="grpc")
gtc.assert_called()
# Check the case api_endpoint is provided.
options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
grpc_transport.return_value = None
client = AdServiceClient(client_options=options)
grpc_transport.assert_called_once_with(
ssl_channel_credentials=None,
credentials=None,
host="squid.clam.whelk",
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT
# is "never".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
grpc_transport.return_value = None
client = AdServiceClient()
grpc_transport.assert_called_once_with(
ssl_channel_credentials=None,
credentials=None,
host=client.DEFAULT_ENDPOINT,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
# "always".
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
grpc_transport.return_value = None
client = AdServiceClient()
grpc_transport.assert_called_once_with(
ssl_channel_credentials=None,
credentials=None,
host=client.DEFAULT_MTLS_ENDPOINT,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
# Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
# unsupported value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
with pytest.raises(MutualTLSChannelError):
client = AdServiceClient()
# Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}):
with pytest.raises(ValueError):
client = AdServiceClient()
@mock.patch.object(AdServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(AdServiceClient))
@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
@pytest.mark.parametrize("use_client_cert_env", ["true", "false"])
def test_ad_service_client_mtls_env_auto(use_client_cert_env):
# This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
# mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
# Check the case client_cert_source is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
options = client_options.ClientOptions(client_cert_source=client_cert_source_callback)
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
ssl_channel_creds = mock.Mock()
with mock.patch('grpc.ssl_channel_credentials', return_value=ssl_channel_creds):
grpc_transport.return_value = None
client = AdServiceClient(client_options=options)
if use_client_cert_env == "false":
expected_ssl_channel_creds = None
expected_host = client.DEFAULT_ENDPOINT
else:
expected_ssl_channel_creds = ssl_channel_creds
expected_host = client.DEFAULT_MTLS_ENDPOINT
grpc_transport.assert_called_once_with(
ssl_channel_credentials=expected_ssl_channel_creds,
credentials=None,
host=expected_host,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
# Check the case ADC client cert is provided. Whether client cert is used depends on
# GOOGLE_API_USE_CLIENT_CERTIFICATE value.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
with mock.patch('google.auth.transport.grpc.SslCredentials.__init__', return_value=None):
with mock.patch('google.auth.transport.grpc.SslCredentials.is_mtls', new_callable=mock.PropertyMock) as is_mtls_mock:
with mock.patch('google.auth.transport.grpc.SslCredentials.ssl_credentials', new_callable=mock.PropertyMock) as ssl_credentials_mock:
if use_client_cert_env == "false":
is_mtls_mock.return_value = False
ssl_credentials_mock.return_value = None
expected_host = client.DEFAULT_ENDPOINT
expected_ssl_channel_creds = None
else:
is_mtls_mock.return_value = True
ssl_credentials_mock.return_value = mock.Mock()
expected_host = client.DEFAULT_MTLS_ENDPOINT
expected_ssl_channel_creds = ssl_credentials_mock.return_value
grpc_transport.return_value = None
client = AdServiceClient()
grpc_transport.assert_called_once_with(
ssl_channel_credentials=expected_ssl_channel_creds,
credentials=None,
host=expected_host,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
# Check the case client_cert_source and ADC client cert are not provided.
with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}):
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
with mock.patch('google.auth.transport.grpc.SslCredentials.__init__', return_value=None):
with mock.patch('google.auth.transport.grpc.SslCredentials.is_mtls', new_callable=mock.PropertyMock) as is_mtls_mock:
is_mtls_mock.return_value = False
grpc_transport.return_value = None
client = AdServiceClient()
grpc_transport.assert_called_once_with(
ssl_channel_credentials=None,
credentials=None,
host=client.DEFAULT_ENDPOINT,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
def test_ad_service_client_client_options_from_dict():
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceGrpcTransport.__init__') as grpc_transport:
grpc_transport.return_value = None
client = AdServiceClient(
client_options={'api_endpoint': 'squid.clam.whelk'}
)
grpc_transport.assert_called_once_with(
ssl_channel_credentials=None,
credentials=None,
host="squid.clam.whelk",
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
def test_get_ad(transport: str = 'grpc', request_type=ad_service.GetAdRequest):
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ad),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = ad.Ad(
resource_name='resource_name_value',
id=205,
final_urls=['final_urls_value'],
final_mobile_urls=['final_mobile_urls_value'],
tracking_url_template='tracking_url_template_value',
final_url_suffix='final_url_suffix_value',
display_url='display_url_value',
type_=ad_type.AdTypeEnum.AdType.UNKNOWN,
added_by_google_ads=True,
device_preference=device.DeviceEnum.Device.UNKNOWN,
name='name_value',
system_managed_resource_source=system_managed_entity_source.SystemManagedResourceSourceEnum.SystemManagedResourceSource.UNKNOWN,
text_ad=ad_type_infos.TextAdInfo(headline='headline_value'),
)
response = client.get_ad(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == ad_service.GetAdRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, ad.Ad)
assert response.resource_name == 'resource_name_value'
assert response.id == 205
assert response.final_urls == ['final_urls_value']
assert response.final_mobile_urls == ['final_mobile_urls_value']
assert response.tracking_url_template == 'tracking_url_template_value'
assert response.final_url_suffix == 'final_url_suffix_value'
assert response.display_url == 'display_url_value'
assert response.type_ == ad_type.AdTypeEnum.AdType.UNKNOWN
assert response.added_by_google_ads is True
assert response.device_preference == device.DeviceEnum.Device.UNKNOWN
assert response.name == 'name_value'
assert response.system_managed_resource_source == system_managed_entity_source.SystemManagedResourceSourceEnum.SystemManagedResourceSource.UNKNOWN
def test_get_ad_from_dict():
test_get_ad(request_type=dict)
def test_get_ad_field_headers():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = ad_service.GetAdRequest()
request.resource_name = 'resource_name/value'
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ad),
'__call__') as call:
call.return_value = ad.Ad()
client.get_ad(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
'x-goog-request-params',
'resource_name=resource_name/value',
) in kw['metadata']
def test_get_ad_flattened():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.get_ad),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = ad.Ad()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get_ad(
resource_name='resource_name_value',
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].resource_name == 'resource_name_value'
def test_get_ad_flattened_error():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.get_ad(
ad_service.GetAdRequest(),
resource_name='resource_name_value',
)
def test_mutate_ads(transport: str = 'grpc', request_type=ad_service.MutateAdsRequest):
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.mutate_ads),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = ad_service.MutateAdsResponse(
)
response = client.mutate_ads(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == ad_service.MutateAdsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, ad_service.MutateAdsResponse)
def test_mutate_ads_from_dict():
test_mutate_ads(request_type=dict)
def test_mutate_ads_field_headers():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = ad_service.MutateAdsRequest()
request.customer_id = 'customer_id/value'
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.mutate_ads),
'__call__') as call:
call.return_value = ad_service.MutateAdsResponse()
client.mutate_ads(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
'x-goog-request-params',
'customer_id=customer_id/value',
) in kw['metadata']
def test_mutate_ads_flattened():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.mutate_ads),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = ad_service.MutateAdsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.mutate_ads(
customer_id='customer_id_value',
operations=[ad_service.AdOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_value']))],
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].customer_id == 'customer_id_value'
assert args[0].operations == [ad_service.AdOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_value']))]
def test_mutate_ads_flattened_error():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.mutate_ads(
ad_service.MutateAdsRequest(),
customer_id='customer_id_value',
operations=[ad_service.AdOperation(update_mask=field_mask_pb2.FieldMask(paths=['paths_value']))],
)
def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.AdServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
with pytest.raises(ValueError):
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
transport=transport,
)
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.AdServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
client = AdServiceClient(transport=transport)
assert client.transport is transport
def test_transport_get_channel():
# A client may be instantiated with a custom transport instance.
transport = transports.AdServiceGrpcTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
channel = transport.grpc_channel
assert channel
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
)
assert isinstance(
client.transport,
transports.AdServiceGrpcTransport,
)
@pytest.mark.parametrize("transport_class", [
transports.AdServiceGrpcTransport,
])
def test_transport_adc(transport_class):
# Test default credentials are used if not provided.
with mock.patch.object(google.auth, 'default') as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport_class()
adc.assert_called_once()
def test_ad_service_base_transport():
# Instantiate the base transport.
with mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceTransport.__init__') as Transport:
Transport.return_value = None
transport = transports.AdServiceTransport(
credentials=ga_credentials.AnonymousCredentials(),
)
# Every method on the transport should just blindly
# raise NotImplementedError.
methods = (
'get_ad',
'mutate_ads',
)
for method in methods:
with pytest.raises(NotImplementedError):
getattr(transport, method)(request=object())
def test_ad_service_base_transport_with_adc():
# Test the default credentials are used if credentials and credentials_file are None.
with mock.patch.object(google.auth, 'default') as adc, mock.patch('google.ads.googleads.v5.services.services.ad_service.transports.AdServiceTransport._prep_wrapped_messages') as Transport:
Transport.return_value = None
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transport = transports.AdServiceTransport()
adc.assert_called_once()
def test_ad_service_auth_adc():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(google.auth, 'default') as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
AdServiceClient()
adc.assert_called_once_with(scopes=(
'https://www.googleapis.com/auth/adwords',
))
def test_ad_service_transport_auth_adc():
# If credentials and host are not provided, the transport class should use
# ADC credentials.
with mock.patch.object(google.auth, 'default') as adc:
adc.return_value = (ga_credentials.AnonymousCredentials(), None)
transports.AdServiceGrpcTransport(host="squid.clam.whelk")
adc.assert_called_once_with(scopes=(
'https://www.googleapis.com/auth/adwords',
))
def test_ad_service_host_no_port():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(api_endpoint='googleads.googleapis.com'),
)
assert client.transport._host == 'googleads.googleapis.com:443'
def test_ad_service_host_with_port():
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(api_endpoint='googleads.googleapis.com:8000'),
)
assert client.transport._host == 'googleads.googleapis.com:8000'
def test_ad_service_grpc_transport_channel():
channel = grpc.insecure_channel('http://localhost/')
# Check that channel is used if provided.
transport = transports.AdServiceGrpcTransport(
host="squid.clam.whelk",
channel=channel,
)
assert transport.grpc_channel == channel
assert transport._host == "squid.clam.whelk:443"
assert transport._ssl_channel_credentials == None
@pytest.mark.parametrize("transport_class", [transports.AdServiceGrpcTransport])
def test_ad_service_transport_channel_mtls_with_client_cert_source(
transport_class
):
with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred:
with mock.patch.object(transport_class, "create_channel", autospec=True) as grpc_create_channel:
mock_ssl_cred = mock.Mock()
grpc_ssl_channel_cred.return_value = mock_ssl_cred
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
cred = ga_credentials.AnonymousCredentials()
with pytest.warns(DeprecationWarning):
with mock.patch.object(google.auth, 'default') as adc:
adc.return_value = (cred, None)
transport = transport_class(
host="squid.clam.whelk",
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=client_cert_source_callback,
)
adc.assert_called_once()
grpc_ssl_channel_cred.assert_called_once_with(
certificate_chain=b"cert bytes", private_key=b"key bytes"
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=cred,
credentials_file=None,
scopes=(
'https://www.googleapis.com/auth/adwords',
),
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
assert transport._ssl_channel_credentials == mock_ssl_cred
@pytest.mark.parametrize("transport_class", [transports.AdServiceGrpcTransport,])
def test_ad_service_transport_channel_mtls_with_adc(
transport_class
):
mock_ssl_cred = mock.Mock()
with mock.patch.multiple(
"google.auth.transport.grpc.SslCredentials",
__init__=mock.Mock(return_value=None),
ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
):
with mock.patch.object(transport_class, "create_channel", autospec=True) as grpc_create_channel:
mock_grpc_channel = mock.Mock()
grpc_create_channel.return_value = mock_grpc_channel
mock_cred = mock.Mock()
with pytest.warns(DeprecationWarning):
transport = transport_class(
host="squid.clam.whelk",
credentials=mock_cred,
api_mtls_endpoint="mtls.squid.clam.whelk",
client_cert_source=None,
)
grpc_create_channel.assert_called_once_with(
"mtls.squid.clam.whelk:443",
credentials=mock_cred,
credentials_file=None,
scopes=(
'https://www.googleapis.com/auth/adwords',
),
ssl_credentials=mock_ssl_cred,
quota_project_id=None,
options=[
("grpc.max_send_message_length", -1),
("grpc.max_receive_message_length", -1),
],
)
assert transport.grpc_channel == mock_grpc_channel
def test_ad_path():
customer = "squid"
ad = "clam"
expected = "customers/{customer}/ads/{ad}".format(customer=customer, ad=ad, )
actual = AdServiceClient.ad_path(customer, ad)
assert expected == actual
def test_parse_ad_path():
expected = {
"customer": "whelk",
"ad": "octopus",
}
path = AdServiceClient.ad_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_ad_path(path)
assert expected == actual
def test_common_billing_account_path():
billing_account = "oyster"
expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, )
actual = AdServiceClient.common_billing_account_path(billing_account)
assert expected == actual
def test_parse_common_billing_account_path():
expected = {
"billing_account": "nudibranch",
}
path = AdServiceClient.common_billing_account_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_common_billing_account_path(path)
assert expected == actual
def test_common_folder_path():
folder = "cuttlefish"
expected = "folders/{folder}".format(folder=folder, )
actual = AdServiceClient.common_folder_path(folder)
assert expected == actual
def test_parse_common_folder_path():
expected = {
"folder": "mussel",
}
path = AdServiceClient.common_folder_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_common_folder_path(path)
assert expected == actual
def test_common_organization_path():
organization = "winkle"
expected = "organizations/{organization}".format(organization=organization, )
actual = AdServiceClient.common_organization_path(organization)
assert expected == actual
def test_parse_common_organization_path():
expected = {
"organization": "nautilus",
}
path = AdServiceClient.common_organization_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_common_organization_path(path)
assert expected == actual
def test_common_project_path():
project = "scallop"
expected = "projects/{project}".format(project=project, )
actual = AdServiceClient.common_project_path(project)
assert expected == actual
def test_parse_common_project_path():
expected = {
"project": "abalone",
}
path = AdServiceClient.common_project_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_common_project_path(path)
assert expected == actual
def test_common_location_path():
project = "squid"
location = "clam"
expected = "projects/{project}/locations/{location}".format(project=project, location=location, )
actual = AdServiceClient.common_location_path(project, location)
assert expected == actual
def test_parse_common_location_path():
expected = {
"project": "whelk",
"location": "octopus",
}
path = AdServiceClient.common_location_path(**expected)
# Check that the path construction is reversible.
actual = AdServiceClient.parse_common_location_path(path)
assert expected == actual
def test_client_withDEFAULT_CLIENT_INFO():
client_info = gapic_v1.client_info.ClientInfo()
with mock.patch.object(transports.AdServiceTransport, '_prep_wrapped_messages') as prep:
client = AdServiceClient(
credentials=ga_credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
with mock.patch.object(transports.AdServiceTransport, '_prep_wrapped_messages') as prep:
transport_class = AdServiceClient.get_transport_class()
transport = transport_class(
credentials=ga_credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
| [
"bazel-bot-development[bot]@users.noreply.github.com"
] | bazel-bot-development[bot]@users.noreply.github.com |
f178b663d0ee93882d7f0f23f79762c86c9a62b3 | d3efc82dfa61fb82e47c82d52c838b38b076084c | /Autocase_Result/ReverseRepo/YW_NHG_SHHG_019_GC028.py | 697b950c9b5b4c9f6d0da0feb24a47bcfb16928d | [] | no_license | nantongzyg/xtp_test | 58ce9f328f62a3ea5904e6ed907a169ef2df9258 | ca9ab5cee03d7a2f457a95fb0f4762013caa5f9f | refs/heads/master | 2022-11-30T08:57:45.345460 | 2020-07-30T01:43:30 | 2020-07-30T01:43:30 | 280,388,441 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,026 | py | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import sys
sys.path.append("/home/yhl2/workspace/xtp_test/xtp/api")
from xtp_test_case import *
sys.path.append("/home/yhl2/workspace/xtp_test/service")
from ServiceConfig import *
from mainService import *
from QueryStkPriceQty import *
from log import *
sys.path.append("/home/yhl2/workspace/xtp_test/mysql")
from CaseParmInsertMysql import *
sys.path.append("/home/yhl2/workspace/xtp_test/utils")
from QueryOrderErrorMsg import queryOrderErrorMsg
class YW_NHG_SHHG_019_GC028(xtp_test_case):
# YW_NHG_SHHG_019_GC028
def test_YW_NHG_SHHG_019_GC028(self):
title = '上海逆回购--数量（等于100万张）-28天'
# 定义当前测试用例的期待值
# 期望状态：初始、未成交、部成、全成、部撤已报、部撤、已报待撤、已撤、废单、撤废、内部撤单
# xtp_ID和cancel_xtpID默认为0，不需要变动
case_goal = {
'期望状态': '全成',
'errorID': 0,
'errorMSG': '',
'是否生成报单': '是',
'是否是撤废': '否',
'xtp_ID': 0,
'cancel_xtpID': 0,
}
logger.warning(title)
# 定义委托参数信息------------------------------------------
# 参数：证券代码、市场、证券类型、证券状态、交易状态、买卖方向（Ｂ买Ｓ卖）、期望状态、Api
stkparm = QueryStkPriceQty('204028', '1', '12', '2', '0', 'S', case_goal['期望状态'], Api)
# 如果下单参数获取失败，则用例失败
if stkparm['返回结果'] is False:
rs = {
'用例测试结果': stkparm['返回结果'],
'测试错误原因': '获取下单参数失败,' + stkparm['错误原因'],
}
self.assertEqual(rs['用例测试结果'], True)
else:
wt_reqs = {
'business_type': Api.const.XTP_BUSINESS_TYPE['XTP_BUSINESS_TYPE_REPO'],
'order_client_id':2,
'market': Api.const.XTP_MARKET_TYPE['XTP_MKT_SH_A'],
'ticker': stkparm['证券代码'],
'side': Api.const.XTP_SIDE_TYPE['XTP_SIDE_SELL'],
'price_type': Api.const.XTP_PRICE_TYPE['XTP_PRICE_LIMIT'],
'price': stkparm['随机中间价'],
'quantity': 1000000,
'position_effect': Api.const.XTP_POSITION_EFFECT_TYPE['XTP_POSITION_EFFECT_INIT']
}
ParmIni(Api, case_goal['期望状态'], wt_reqs['price_type'])
CaseParmInsertMysql(case_goal, wt_reqs)
rs = serviceTest(Api, case_goal, wt_reqs)
logger.warning('执行结果为' + str(rs['用例测试结果']) + ','
+ str(rs['用例错误源']) + ',' + str(rs['用例错误原因']))
self.assertEqual(rs['用例测试结果'], True) # 0
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
e3890f86efe95e867f60a04ad1fb1640b5b9c625 | 6a253ee7b47c5f70c826bbc97bb8e33cd1dab3b6 | /4.Working with Dask Bags for Unstructured Data/Filtering vetoed bills.py | f6f1b993c692dc6f8cda3afb05d26a40595ed1aa | [] | no_license | Mat4wrk/Parallel-Programming-with-Dask-in-Python-Datacamp | 19a646d6d16ff46173964c25639ff923407c8f32 | 535f69b78adb50cffc7f402f81ddff19f853eea1 | refs/heads/main | 2023-03-06T19:52:39.495066 | 2021-02-13T13:27:06 | 2021-02-13T13:27:06 | 338,565,569 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 279 | py | # Filter the bills: overridden
overridden = bills_dicts.filter(veto_override)
# Print the number of bills retained
print(overridden.count().compute())
# Get the value of the 'title' key
titles = overridden.pluck('title')
# Compute and print the titles
print(titles.compute())
| [
"[email protected]"
] | |
ccd7c753cf3f1a7e04ca7b256c5f92fffcc69c25 | 3b2e30a6f082b4b21818eae44ea2f55fc25e7aa2 | /project/cart/views.py | 51a36c3411656d1a5ebb2b1e76ab2d20290d4d53 | [] | no_license | alekseykonotop/online_store_django | d9e9941ddedd783b38b5592ab2a3af5e35f0c2ee | 183cb3680b5b8f90457ea144dafaa96c13a3433d | refs/heads/master | 2020-07-30T09:13:57.449081 | 2019-11-07T19:46:58 | 2019-11-07T19:46:58 | 210,168,644 | 0 | 0 | null | 2020-06-05T23:07:09 | 2019-09-22T15:19:34 | JavaScript | UTF-8 | Python | false | false | 942 | py | from django.shortcuts import render, redirect, get_object_or_404
from django.views.decorators.http import require_POST
from store.models import Product, Category
from .cart import Cart
from .forms import CartAddProductForm
@require_POST
def cart_add(request, product_id):
cart = Cart(request)
product = get_object_or_404(Product, id=product_id)
form = CartAddProductForm(request.POST)
if form.is_valid():
cd = form.cleaned_data
cart.add(product=product,
quantity=cd['quantity'],
update_quantity=cd['update'])
return redirect('cart:cart_detail')
def cart_remove(request, product_id):
cart = Cart(request)
product = get_object_or_404(Product, id=product_id)
cart.remove(product)
return redirect('cart:cart_detail')
def cart_detail(request):
context = {}
context['cart'] = Cart(request)
return render(request, 'cart/detail.html', context) | [
"[email protected]"
] | |
c8214a41a82f875f402de97e2db11c439208e33c | cf2ec51dfcb2d6777b5045137d2bcfe62afdec8c | /upvcarshare/core/templatetags/core_tags.py | 9e4b4acedbe5f435252e61b22be188f25d1f1041 | [] | no_license | morrme/upvcarshare | c4b8b1587370e7931d8b5d6c78b948188617795c | 189c91c608d0b61f6b68ef5c49a2546fdbbe38a2 | refs/heads/master | 2021-01-22T22:07:52.611880 | 2017-05-29T14:57:36 | 2017-05-29T14:57:36 | 88,732,669 | 0 | 0 | null | 2017-04-19T10:33:58 | 2017-04-19T10:33:58 | null | UTF-8 | Python | false | false | 1,295 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function, absolute_import
from django import template
from django.conf import settings
from django.http import QueryDict
from journeys import DEFAULT_GOOGLE_MAPS_SRID
from journeys.helpers import make_point
register = template.Library()
@register.simple_tag
def google_static_map(point, width=600, height=300, zoom=13):
google_maps_point = make_point(point, origin_coord_srid=point.srid, destiny_coord_srid=DEFAULT_GOOGLE_MAPS_SRID)
base_uri = "https://maps.googleapis.com/maps/api/staticmap"
args = {
"maptype": "roadmap",
"zoom": zoom,
"size": "{}x{}".format(width, height),
"key": settings.GOOGLE_MAPS_API_KEY,
"center": "{},{}".format(google_maps_point.coords[1], google_maps_point.coords[0]),
"markers": "color:red|{},{}".format(google_maps_point.coords[1], google_maps_point.coords[0]),
}
query_dict = QueryDict(mutable=True)
query_dict.update(args)
return "{}?{}".format(base_uri, query_dict.urlencode())
@register.simple_tag(takes_context=True)
def add_active_class(context, names, _class="active"):
request = context["request"]
names = names.split(",")
return _class if request.resolver_match.view_name in names else ""
| [
"[email protected]"
] | |
26cb68b12f6852ef885417963ed3f227dde4232b | ad6681ec221fddc78956d45182f22bd8f1aae8e1 | /基础班/python基础班作业/zuoye5.py | d7778e78f4774e78cf7432ba9bdc60433604db33 | [] | no_license | caoxp930/MyPythonCode | cb2428fd7078100df0b118f64713b7db76fe1e23 | 6b7e17b23fbaddcc69812ba7a14a0a5ad548ad4b | refs/heads/master | 2023-03-15T01:22:17.847582 | 2021-03-02T12:37:09 | 2021-03-02T12:37:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | # -*- coding: utf-8 -*-
for i in range(1,10):
for j in range(1,i+1):
print(j,'*',i,'=',i*j,end='\t')
if i == j:
print() | [
"[email protected]"
] | |
fb4d4b99fef64675afb65af92c4e6b71f2d5ac46 | 3d19e1a316de4d6d96471c64332fff7acfaf1308 | /Users/M/markbrough/afd_1.py | 711852c3ee8cd7a769192a8717034ae07c1ec594 | [] | no_license | BerilBBJ/scraperwiki-scraper-vault | 4e98837ac3b1cc3a3edb01b8954ed00f341c8fcc | 65ea6a943cc348a9caf3782b900b36446f7e137d | refs/heads/master | 2021-12-02T23:55:58.481210 | 2013-09-30T17:02:59 | 2013-09-30T17:02:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,542 | py | import scraperwiki
from lxml import html
from urllib2 import urlopen, Request, URLError
import re
import string
URL = "http://www.afd.fr/base-projets/listerProjets.action?page=%s"
def cleanURL(data):
expression=re.compile("(\S*);jsessionid=(\S*)\?(\S*)")
d = expression.match(data)
return d.group(1)+"?"+d.group(3)
def cleandata(data):
if data:
newdata = string.strip(data)
else:
newdata=''
return newdata
def cleanamount(data):
eurosign = u"\u20AC"
commas = ','
spaces = '\r\n\t\t\t\t\t'
fixed = re.sub(eurosign, '', data)
fixed = re.sub(commas, '', fixed)
fixed = re.sub(spaces, '', fixed)
return fixed
def removeImage(data):
print "Trying to remove image from", data
fixed = re.sub('<img alt="" src="img/pdf.gif">', '', data)
fixed = re.sub("\r", '', data)
fixed = re.sub("\n", '', data)
fixed = re.sub("\t", '', data)
print "Final data after removing image is", data
return fixed
# utf8 : database_field_name
translations = {
u'Libell\xe9 du projet': 'name',
u'Num\xe9ro de projet': 'id',
u'Pays de r\xe9alisation': 'country',
u'B\xe9n\xe9ficiaire': 'beneficiary',
"Secteur d'intervention": 'aim',
'Agence de gestion': 'agency',
'Classement environnemental': 'environmental_impact',
'Classement social': 'social_impact',
u"Commentaire sur l'\xe9x\xe9cution du projet": 'comment',
'Execution': 'in progress',
'Etat du projet': 'status',
'Montant global du projet': 'funding_total_euros',
"Financement de l'AFD": 'funding_from_afd_euros',
'Forme de concours': 'funding_type',
'Cofinancement': 'is_co_financed',
u"Date d'identification valid\xe9e": 'date_validated',
"Date d'octroi du financement": 'date_funded',
'Chef de projet': 'project_manager',
'Responsable agence': 'responsible_agency',
'Structure responsable': 'responsible_structure',
'non': 'no',
'oui': 'yes',
}
def translate(french_str, warn_if_no_translation=False):
if not french_str:
return ''
if french_str in translations:
return translations[french_str].decode('utf8')
else:
if warn_if_no_translation:
print 'Could not translate: %s = %r' % (french_str, french_str)
return french_str
def scrape_project_page(data, project_url):
req = Request(project_url)
data['project_details'] = project_url
doc = html.parse(urlopen(req))
for tr in doc.findall('//table//tr'):
field = []
for cell_type in ('th', 'td'):
cells = tr.findall(cell_type)
if not cells:
# ignore row <th>Commentaire...</th> with no <td>
# TODO get the pdf links at this point
continue
warn_if_no_translation = cell_type == 'th'
if cells and cells[0].get('colspan') == '2':
# ignore section titles (they span both columns)
break
cells = [translate(cleanamount(cleandata(cell.text)),
warn_if_no_translation) \
for cell in cells]
field.append(' | '.join(cells))
if len(field) == 2:
if not field[0]:
# don't save a blank key
assert not field[1], 'Throwing away data without key: %r' % field[1]
continue
data[field[0]] = field[1]
#print 'SAVE %s : %s' % tuple(field)
document_field = doc.find('//tr//td//div/a')
if document_field is not None:
data["document_url"] = cleanURL("http://www.afd.fr"+document_field.get("href"))
data["document_name"] = document_field.text_content()
print "document name is", cleandata(document_field.text_content())
print "document url is", cleanURL("http://www.afd.fr"+document_field.get("href"))
scraperwiki.sqlite.save(unique_keys=["country", "description"],
data=data)
# loop over the pages of the "liste des projets"
page_number = 0
while True:
page_number += 1
req = Request(URL % (page_number))
try:
response = urlopen(req)
except URLError, e:
# import pdb; pdb.set_trace()
if response.status == 404:
break
doc = html.parse(response)
if not(doc.findall('//tbody//tr')):
break
# loop over each project summary
for tr in doc.findall('//tbody//tr'):
cells = list(tr.findall('td'))
if not len(cells):
continue
amount = re.sub(',', '', cells[2].text)
project_url = 'http://www.afd.fr' + cells[1].find('a').get('href')
data = {
'country' : cleandata(cells[0].text),
'description' : cleandata(cells[1].find('a').text),
'project_url' : cleanURL(project_url),
'funding_total_euros' : cleanamount(cleandata(amount)),
'status' : cleandata(cells[3].text),
'date_updated' : cells[4].text
}
# drill down into the project page
try:
scrape_project_page(data, project_url)
except:
# if that fails, save what we have!
scraperwiki.sqlite.save(unique_keys=["country", "description"],
data=data)
import scraperwiki
from lxml import html
from urllib2 import urlopen, Request, URLError
import re
import string
URL = "http://www.afd.fr/base-projets/listerProjets.action?page=%s"
def cleanURL(data):
expression=re.compile("(\S*);jsessionid=(\S*)\?(\S*)")
d = expression.match(data)
return d.group(1)+"?"+d.group(3)
def cleandata(data):
if data:
newdata = string.strip(data)
else:
newdata=''
return newdata
def cleanamount(data):
eurosign = u"\u20AC"
commas = ','
spaces = '\r\n\t\t\t\t\t'
fixed = re.sub(eurosign, '', data)
fixed = re.sub(commas, '', fixed)
fixed = re.sub(spaces, '', fixed)
return fixed
def removeImage(data):
print "Trying to remove image from", data
fixed = re.sub('<img alt="" src="img/pdf.gif">', '', data)
fixed = re.sub("\r", '', data)
fixed = re.sub("\n", '', data)
fixed = re.sub("\t", '', data)
print "Final data after removing image is", data
return fixed
# utf8 : database_field_name
translations = {
u'Libell\xe9 du projet': 'name',
u'Num\xe9ro de projet': 'id',
u'Pays de r\xe9alisation': 'country',
u'B\xe9n\xe9ficiaire': 'beneficiary',
"Secteur d'intervention": 'aim',
'Agence de gestion': 'agency',
'Classement environnemental': 'environmental_impact',
'Classement social': 'social_impact',
u"Commentaire sur l'\xe9x\xe9cution du projet": 'comment',
'Execution': 'in progress',
'Etat du projet': 'status',
'Montant global du projet': 'funding_total_euros',
"Financement de l'AFD": 'funding_from_afd_euros',
'Forme de concours': 'funding_type',
'Cofinancement': 'is_co_financed',
u"Date d'identification valid\xe9e": 'date_validated',
"Date d'octroi du financement": 'date_funded',
'Chef de projet': 'project_manager',
'Responsable agence': 'responsible_agency',
'Structure responsable': 'responsible_structure',
'non': 'no',
'oui': 'yes',
}
def translate(french_str, warn_if_no_translation=False):
if not french_str:
return ''
if french_str in translations:
return translations[french_str].decode('utf8')
else:
if warn_if_no_translation:
print 'Could not translate: %s = %r' % (french_str, french_str)
return french_str
def scrape_project_page(data, project_url):
req = Request(project_url)
data['project_details'] = project_url
doc = html.parse(urlopen(req))
for tr in doc.findall('//table//tr'):
field = []
for cell_type in ('th', 'td'):
cells = tr.findall(cell_type)
if not cells:
# ignore row <th>Commentaire...</th> with no <td>
# TODO get the pdf links at this point
continue
warn_if_no_translation = cell_type == 'th'
if cells and cells[0].get('colspan') == '2':
# ignore section titles (they span both columns)
break
cells = [translate(cleanamount(cleandata(cell.text)),
warn_if_no_translation) \
for cell in cells]
field.append(' | '.join(cells))
if len(field) == 2:
if not field[0]:
# don't save a blank key
assert not field[1], 'Throwing away data without key: %r' % field[1]
continue
data[field[0]] = field[1]
#print 'SAVE %s : %s' % tuple(field)
document_field = doc.find('//tr//td//div/a')
if document_field is not None:
data["document_url"] = cleanURL("http://www.afd.fr"+document_field.get("href"))
data["document_name"] = document_field.text_content()
print "document name is", cleandata(document_field.text_content())
print "document url is", cleanURL("http://www.afd.fr"+document_field.get("href"))
scraperwiki.sqlite.save(unique_keys=["id"],
data=data)
# loop over the pages of the "liste des projets"
page_number = 0
while True:
page_number += 1
req = Request(URL % (page_number))
try:
response = urlopen(req)
except URLError, e:
# import pdb; pdb.set_trace()
if response.status == 404:
break
doc = html.parse(response)
if not(doc.findall('//tbody//tr')):
break
# loop over each project summary
for tr in doc.findall('//tbody//tr'):
cells = list(tr.findall('td'))
if not len(cells):
continue
amount = re.sub(',', '', cells[2].text)
project_url = 'http://www.afd.fr' + cells[1].find('a').get('href')
data = {
'country' : cleandata(cells[0].text),
'description' : cleandata(cells[1].find('a').text),
'project_url' : cleanURL(project_url),
'funding_total_euros' : cleanamount(cleandata(amount)),
'status' : cleandata(cells[3].text),
'date_updated' : cells[4].text
}
# drill down into the project page
try:
scrape_project_page(data, project_url)
except:
# if that fails, save what we have!
scraperwiki.sqlite.save(unique_keys=["id"],
data=data)
| [
"[email protected]"
] | |
270d5dd6dc7d1ac5dfdf0eeb82eaa30901b3cb1c | 18dba2f82e17873e5e8161e74bc714ef88b09b36 | /realestate/estatebase/migrations/0044_auto__add_localitytype__add_field_locality_locality_type.py | a5aaef7a8313514f2c8f3e1d85d08d0dbfdeaacf | [] | no_license | sanchellius/estate-agent | 8013573624b62ea3b6362fa0c22edf8371ca6966 | 53c15c2f2c970bd432ae579b5aa6f76ab2fbac49 | refs/heads/master | 2021-01-17T21:15:35.988578 | 2016-07-25T21:51:24 | 2016-07-25T21:51:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45,365 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'LocalityType'
db.create_table('estatebase_localitytype', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('name', self.gf('django.db.models.fields.CharField')(unique=True, max_length=255, db_index=True)),
('prep_name', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)),
))
db.send_create_signal('estatebase', ['LocalityType'])
# Adding field 'Locality.locality_type'
db.add_column('estatebase_locality', 'locality_type',
self.gf('django.db.models.fields.related.ForeignKey')(to=orm['estatebase.LocalityType'], null=True, on_delete=models.PROTECT, blank=True),
keep_default=False)
def backwards(self, orm):
# Deleting model 'LocalityType'
db.delete_table('estatebase_localitytype')
# Deleting field 'Locality.locality_type'
db.delete_column('estatebase_locality', 'locality_type_id')
models = {
'auth.group': {
'Meta': {'object_name': 'Group'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
'auth.permission': {
'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'estatebase.appliance': {
'Meta': {'ordering': "['name']", 'object_name': 'Appliance'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.beside': {
'Meta': {'ordering': "['name']", 'object_name': 'Beside'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.bid': {
'Meta': {'ordering': "['-history__created']", 'object_name': 'Bid'},
'agency_price_max': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'agency_price_min': ('django.db.models.fields.IntegerField', [], {'null': 'True', 'blank': 'True'}),
'bid_status': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.BidStatus']", 'null': 'True', 'blank': 'True'}),
'broker': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'broker_list'", 'null': 'True', 'on_delete': 'models.PROTECT', 'to': "orm['auth.User']"}),
'brokers': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['auth.User']", 'null': 'True', 'blank': 'True'}),
'cleaned_filter': ('picklefield.fields.PickledObjectField', [], {'null': 'True', 'blank': 'True'}),
'client': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'bids'", 'to': "orm['estatebase.Client']"}),
'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'estate_categories': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.EstateTypeCategory']", 'null': 'True', 'blank': 'True'}),
'estate_filter': ('picklefield.fields.PickledObjectField', [], {'null': 'True', 'blank': 'True'}),
'estate_types': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.EstateType']", 'null': 'True', 'blank': 'True'}),
'estates': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Estate']", 'null': 'True', 'blank': 'True'}),
'history': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['estatebase.HistoryMeta']", 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'localities': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Locality']", 'null': 'True', 'blank': 'True'}),
'note': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'regions': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Region']", 'null': 'True', 'blank': 'True'})
},
'estatebase.bidevent': {
'Meta': {'object_name': 'BidEvent'},
'bid': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'bid_events'", 'to': "orm['estatebase.Bid']"}),
'bid_event_category': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.BidEventCategory']"}),
'date': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}),
'estates': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Estate']", 'null': 'True', 'blank': 'True'}),
'history': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['estatebase.HistoryMeta']", 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'note': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'})
},
'estatebase.bideventcategory': {
'Meta': {'ordering': "['name']", 'object_name': 'BidEventCategory'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.bidg': {
'Meta': {'ordering': "['id']", 'object_name': 'Bidg'},
'appliances': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Appliance']", 'null': 'True', 'blank': 'True'}),
'basic': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'ceiling': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Ceiling']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'ceiling_height': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '5', 'decimal_places': '2', 'blank': 'True'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'documents': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Document']", 'null': 'True', 'blank': 'True'}),
'elevator': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'estate': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'bidgs'", 'to': "orm['estatebase.Estate']"}),
'estate_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.EstateType']", 'on_delete': 'models.PROTECT'}),
'exterior_finish': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.ExteriorFinish']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'floor': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'floor_count': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '3', 'decimal_places': '1', 'blank': 'True'}),
'flooring': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Flooring']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'heating': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Heating']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'interior': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Interior']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'roof': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Roof']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'room_count': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'room_number': ('django.db.models.fields.CharField', [], {'max_length': '10', 'null': 'True', 'blank': 'True'}),
'total_area': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '10', 'decimal_places': '2', 'blank': 'True'}),
'used_area': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '10', 'decimal_places': '2', 'blank': 'True'}),
'wall_construcion': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.WallConstrucion']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'wall_finish': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.WallFinish']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'window_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.WindowType']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'year_built': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'})
},
'estatebase.bidstatus': {
'Meta': {'ordering': "['name']", 'object_name': 'BidStatus'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.ceiling': {
'Meta': {'ordering': "['name']", 'object_name': 'Ceiling'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.client': {
'Meta': {'ordering': "['-id']", 'object_name': 'Client'},
'address': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'client_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.ClientType']", 'on_delete': 'models.PROTECT'}),
'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'history': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['estatebase.HistoryMeta']", 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'note': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'origin': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Origin']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'})
},
'estatebase.clienttype': {
'Meta': {'ordering': "['name']", 'object_name': 'ClientType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.comstatus': {
'Meta': {'ordering': "['name']", 'object_name': 'ComStatus'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}),
'status': ('django.db.models.fields.IntegerField', [], {})
},
'estatebase.contact': {
'Meta': {'ordering': "['contact_state__id', 'contact_type__id']", 'object_name': 'Contact'},
'client': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'contacts'", 'to': "orm['estatebase.Client']"}),
'contact': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'contact_state': ('django.db.models.fields.related.ForeignKey', [], {'default': '5', 'to': "orm['estatebase.ContactState']", 'on_delete': 'models.PROTECT'}),
'contact_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.ContactType']", 'on_delete': 'models.PROTECT'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'})
},
'estatebase.contacthistory': {
'Meta': {'object_name': 'ContactHistory'},
'contact': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Contact']"}),
'contact_state': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.ContactState']", 'on_delete': 'models.PROTECT'}),
'event_date': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(2013, 2, 21, 0, 0)'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'})
},
'estatebase.contactstate': {
'Meta': {'ordering': "['name']", 'object_name': 'ContactState'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.contacttype': {
'Meta': {'ordering': "['name']", 'object_name': 'ContactType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.document': {
'Meta': {'ordering': "['name']", 'object_name': 'Document'},
'estate_type_category': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['estatebase.EstateTypeCategory']", 'symmetrical': 'False'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.driveway': {
'Meta': {'ordering': "['name']", 'object_name': 'Driveway'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.electricity': {
'Meta': {'ordering': "['name']", 'object_name': 'Electricity'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.estate': {
'Meta': {'ordering': "['-id']", 'object_name': 'Estate'},
'agency_price': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'beside': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Beside']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'beside_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'broker': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'client_description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'clients': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': "'estates'", 'symmetrical': 'False', 'through': "orm['estatebase.EstateClient']", 'to': "orm['estatebase.Client']"}),
'com_status': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.ComStatus']", 'null': 'True', 'blank': 'True'}),
'comment': ('django.db.models.fields.TextField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'contact': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Contact']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'driveway': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Driveway']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'driveway_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'electricity': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Electricity']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'electricity_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'estate_category': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.EstateTypeCategory']", 'on_delete': 'models.PROTECT'}),
'estate_number': ('django.db.models.fields.CharField', [], {'max_length': '10', 'null': 'True', 'blank': 'True'}),
'estate_params': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.EstateParam']", 'null': 'True', 'blank': 'True'}),
'estate_status': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.EstateStatus']", 'on_delete': 'models.PROTECT'}),
'gassupply': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Gassupply']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'gassupply_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'history': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['estatebase.HistoryMeta']", 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'internet': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Internet']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'locality': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Locality']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'microdistrict': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Microdistrict']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'origin': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Origin']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'region': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Region']", 'on_delete': 'models.PROTECT'}),
'saler_price': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'sewerage': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Sewerage']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'sewerage_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'}),
'street': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Street']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'telephony': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Telephony']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'validity': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Validity']", 'null': 'True', 'blank': 'True'}),
'watersupply': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Watersupply']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'watersupply_distance': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True', 'blank': 'True'})
},
'estatebase.estateclient': {
'Meta': {'unique_together': "(('client', 'estate'),)", 'object_name': 'EstateClient'},
'client': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Client']"}),
'estate': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Estate']"}),
'estate_client_status': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.EstateClientStatus']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'})
},
'estatebase.estateclientstatus': {
'Meta': {'ordering': "['name']", 'object_name': 'EstateClientStatus'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.estateparam': {
'Meta': {'ordering': "['order']", 'object_name': 'EstateParam'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'order': ('django.db.models.fields.PositiveIntegerField', [], {'unique': 'True', 'blank': 'True'})
},
'estatebase.estatephoto': {
'Meta': {'ordering': "['order']", 'object_name': 'EstatePhoto'},
'estate': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'images'", 'to': "orm['estatebase.Estate']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image': ('sorl.thumbnail.fields.ImageField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'note': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'order': ('django.db.models.fields.PositiveIntegerField', [], {'unique': 'True', 'blank': 'True'})
},
'estatebase.estateregister': {
'Meta': {'ordering': "['-id']", 'object_name': 'EstateRegister'},
'bids': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'estate_registers'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['estatebase.Bid']"}),
'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'estates': ('django.db.models.fields.related.ManyToManyField', [], {'blank': 'True', 'related_name': "'estate_registers'", 'null': 'True', 'symmetrical': 'False', 'to': "orm['estatebase.Estate']"}),
'history': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['estatebase.HistoryMeta']", 'unique': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'register_category': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.RegisterCategory']", 'null': 'True', 'blank': 'True'})
},
'estatebase.estatestatus': {
'Meta': {'ordering': "['name']", 'object_name': 'EstateStatus'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.estatetype': {
'Meta': {'ordering': "['estate_type_category__order', 'name']", 'object_name': 'EstateType'},
'estate_type_category': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'types'", 'on_delete': 'models.PROTECT', 'to': "orm['estatebase.EstateTypeCategory']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'note': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'}),
'order': ('django.db.models.fields.PositiveIntegerField', [], {'unique': 'True', 'blank': 'True'}),
'placeable': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'template': ('django.db.models.fields.IntegerField', [], {})
},
'estatebase.estatetypecategory': {
'Meta': {'ordering': "['order']", 'object_name': 'EstateTypeCategory'},
'has_bidg': ('django.db.models.fields.IntegerField', [], {}),
'has_stead': ('django.db.models.fields.IntegerField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'independent': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_commerce': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'order': ('django.db.models.fields.PositiveIntegerField', [], {'unique': 'True', 'blank': 'True'})
},
'estatebase.exteriorfinish': {
'Meta': {'ordering': "['name']", 'object_name': 'ExteriorFinish'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.flooring': {
'Meta': {'ordering': "['name']", 'object_name': 'Flooring'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.furniture': {
'Meta': {'ordering': "['name']", 'object_name': 'Furniture'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.gassupply': {
'Meta': {'ordering': "['name']", 'object_name': 'Gassupply'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.geogroup': {
'Meta': {'ordering': "['name']", 'object_name': 'GeoGroup'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.heating': {
'Meta': {'ordering': "['name']", 'object_name': 'Heating'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.historymeta': {
'Meta': {'object_name': 'HistoryMeta'},
'created': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True'}),
'created_by': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'creators'", 'on_delete': 'models.PROTECT', 'to': "orm['auth.User']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'modificated': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'db_index': 'True', 'null': 'True', 'blank': 'True'}),
'updated_by': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': "'updators'", 'null': 'True', 'on_delete': 'models.PROTECT', 'to': "orm['auth.User']"})
},
'estatebase.interior': {
'Meta': {'ordering': "['name']", 'object_name': 'Interior'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.internet': {
'Meta': {'ordering': "['name']", 'object_name': 'Internet'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.landtype': {
'Meta': {'ordering': "['name']", 'object_name': 'LandType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.layout': {
'Meta': {'ordering': "['id']", 'object_name': 'Layout'},
'area': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '7', 'decimal_places': '2', 'blank': 'True'}),
'furniture': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Furniture']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'interior': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Interior']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'layout_feature': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.LayoutFeature']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'layout_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.LayoutType']", 'on_delete': 'models.PROTECT'}),
'level': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Level']"}),
'note': ('django.db.models.fields.CharField', [], {'max_length': '255', 'null': 'True', 'blank': 'True'})
},
'estatebase.layoutfeature': {
'Meta': {'ordering': "['name']", 'object_name': 'LayoutFeature'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.layouttype': {
'Meta': {'ordering': "['name']", 'object_name': 'LayoutType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.level': {
'Meta': {'ordering': "['level_name']", 'object_name': 'Level'},
'bidg': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'levels'", 'to': "orm['estatebase.Bidg']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'level_name': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.LevelName']"})
},
'estatebase.levelname': {
'Meta': {'ordering': "['name']", 'object_name': 'LevelName'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.locality': {
'Meta': {'ordering': "['name']", 'unique_together': "(('name', 'region'),)", 'object_name': 'Locality'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'locality_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.LocalityType']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'region': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Region']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'})
},
'estatebase.localitytype': {
'Meta': {'ordering': "['name']", 'object_name': 'LocalityType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}),
'prep_name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'})
},
'estatebase.microdistrict': {
'Meta': {'ordering': "['name']", 'unique_together': "(('name', 'locality'),)", 'object_name': 'Microdistrict'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'locality': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Locality']", 'on_delete': 'models.PROTECT'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'})
},
'estatebase.office': {
'Meta': {'ordering': "['name']", 'object_name': 'Office'},
'address': ('django.db.models.fields.TextField', [], {}),
'address_short': ('django.db.models.fields.TextField', [], {}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}),
'regions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['estatebase.Region']", 'symmetrical': 'False'})
},
'estatebase.origin': {
'Meta': {'ordering': "['name']", 'object_name': 'Origin'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.purpose': {
'Meta': {'ordering': "['name']", 'object_name': 'Purpose'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.region': {
'Meta': {'ordering': "['name']", 'object_name': 'Region'},
'geo_group': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.GeoGroup']", 'on_delete': 'models.PROTECT'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.registercategory': {
'Meta': {'ordering': "['name']", 'object_name': 'RegisterCategory'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.roof': {
'Meta': {'ordering': "['name']", 'object_name': 'Roof'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.sewerage': {
'Meta': {'ordering': "['name']", 'object_name': 'Sewerage'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.shape': {
'Meta': {'ordering': "['name']", 'object_name': 'Shape'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.stead': {
'Meta': {'object_name': 'Stead'},
'documents': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': "orm['estatebase.Document']", 'null': 'True', 'blank': 'True'}),
'estate': ('django.db.models.fields.related.OneToOneField', [], {'related_name': "'stead'", 'unique': 'True', 'to': "orm['estatebase.Estate']"}),
'estate_type': ('django.db.models.fields.related.ForeignKey', [], {'default': '15', 'to': "orm['estatebase.EstateType']", 'on_delete': 'models.PROTECT'}),
'face_area': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '10', 'decimal_places': '2', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'land_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.LandType']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'purpose': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Purpose']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'shape': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Shape']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'total_area': ('django.db.models.fields.DecimalField', [], {'null': 'True', 'max_digits': '10', 'decimal_places': '2', 'blank': 'True'})
},
'estatebase.street': {
'Meta': {'ordering': "['name']", 'unique_together': "(('name', 'locality'),)", 'object_name': 'Street'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'locality': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Locality']", 'on_delete': 'models.PROTECT'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'})
},
'estatebase.telephony': {
'Meta': {'ordering': "['name']", 'object_name': 'Telephony'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.userprofile': {
'Meta': {'object_name': 'UserProfile'},
'geo_groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['estatebase.GeoGroup']", 'symmetrical': 'False'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'office': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['estatebase.Office']", 'null': 'True', 'on_delete': 'models.PROTECT', 'blank': 'True'}),
'user': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['auth.User']", 'unique': 'True'})
},
'estatebase.validity': {
'Meta': {'ordering': "['name']", 'object_name': 'Validity'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.wallconstrucion': {
'Meta': {'ordering': "['name']", 'object_name': 'WallConstrucion'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.wallfinish': {
'Meta': {'ordering': "['name']", 'object_name': 'WallFinish'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.watersupply': {
'Meta': {'ordering': "['name']", 'object_name': 'Watersupply'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
},
'estatebase.windowtype': {
'Meta': {'ordering': "['name']", 'object_name': 'WindowType'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'})
}
}
complete_apps = ['estatebase'] | [
"[email protected]"
] |
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