flags

Implementing Review flags in Databases; best practices

由 北战南征 提交于 2020-01-24 13:24:25
问题 I need store some review flags that relate to some entities. Each review flag can only related to a single entity property group. For example table Parents has a ParentsStatus flag and table Children has a set of ChildrenStatus flags. In the current design proposal I have three tables: ReviewTypes : stores the flags and the properties they relate to. ReviewPositions : stores the values the flags can have. Reviews : stores the transaction data, the actual reviews. It is like UsersToFlags:

Implementing Review flags in Databases; best practices

由 时间秒杀一切 提交于 2020-01-24 13:24:07
问题 I need store some review flags that relate to some entities. Each review flag can only related to a single entity property group. For example table Parents has a ParentsStatus flag and table Children has a set of ChildrenStatus flags. In the current design proposal I have three tables: ReviewTypes : stores the flags and the properties they relate to. ReviewPositions : stores the values the flags can have. Reviews : stores the transaction data, the actual reviews. It is like UsersToFlags:

Resetting output flags in C++

由 你离开我真会死。 提交于 2020-01-24 11:19:10
问题 I'm intending to reset all output flags to default on the lines where I end using the resetiosflags function. It provides erroneous output when I attempt to do it in this manner, contrary to my expectations. #include <iostream> #include <iomanip> using namespace std; int main() { bool first; int second; long third; float fourth; float fifth; double sixth; cout << "Enter bool, int, long, float, float, and double values: "; cin >> first >> second >> third >> fourth >> fifth >> sixth; cout <<

Python: Passing SequenceMatcher in difflib an “autojunk=False” flag yields error

由 早过忘川 提交于 2020-01-23 10:51:10
问题 I am trying to use the SequenceMatcher method in Python's difflib package to identify string similarity. I have experienced strange behavior with the method, though, and I believe my problem may be related to the package's "junk" filter, a problem described in detail here. Suffice it to say that I thought I could fix my problem by passing an autojunk flag to my SequenceMatcher in the way described by the difflib documentation: import difflib def matches(s1, s2): s = difflib.SequenceMatcher

fcn网络8s复现

由 丶灬走出姿态 提交于 2020-01-22 22:34:20
FCN.py import numpy as np import tensorflow as tf import scipy . io as scio from scipy import misc import sys import logging import datetime FLAGS = tf . flags . FLAGS tf . flags . DEFINE_integer ( 'batchsize' , '10' , 'trainning batchsize' ) #flag tf . flags . DEFINE_float ( 'learning_rate' , '1e-4' , 'learning_rate' ) #flag tf . flags . DEFINE_bool ( 'reuse' , "False" , "reuse the pretrained model" ) tf . flags . DEFINE_bool ( 'train' , "True" , "train or test" ) tf . flags . DEFINE_string ( 'checkpoint' , "checkpoint" , "dir to save model" ) tf . flags . DEFINE_string ( 'log' , "log" , "dir

error in use of tf.app.flags

由 白昼怎懂夜的黑 提交于 2020-01-16 05:37:11
问题 I used tf.app.flags in my tensorflow program like this: flags = tf.app.flags FLAGS = flags.FLAGS flags.DEFINE_string('model_dir', './models','Save checkpoint') . . . if __name__ == "__main__": # main() tf.app.run() But when run my code two time it makes this error: ArgumentError: argument --model_dir: conflicting option string: --model_dir I think tensorflow create a argument for --model_dir and when it run again it try to create again a argument for --model_dir, but conflicted by existence -

python正则表达式flags参数使用

由 时光总嘲笑我的痴心妄想 提交于 2020-01-14 11:11:13
介绍re.I、re.DEBUG、re.S的使用，多个flags如何使用；正则表达式贪婪模式、非贪婪模式使用实例，re.search()正则表达式传变量。 C:\Users\Administrator.ZHANGHAO-PC>python Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AM D64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import re >>> re.search('abC','ABC',flags=re.I) <_sre.SRE_Match object at 0x0000000001E64510> >>> >>> re.search('abC','ABC', flags=re.I ).group() ###正则匹配时，不区分大小写 'ABC' >>> patern=re.compile('abC',re.I) >>> re.search(patern,'ABC') <_sre.SRE_Match object at 0x0000000001E64510> >>> >>> re.search(patern,'ABC')

Apply either --enable-shared or -fPIC on in Code::Blocks

由 ♀尐吖头ヾ 提交于 2020-01-14 04:40:08
问题 As the question states, I need to apply either of those compiler/linker settings. I am using Code::Blocks 10.05. I've looked through all the build settings screens. I cannot find where to apply these settings. I am getting the following on output: -------------- Build: Release in 39dll-4-Linux --------------- Linking dynamic library: ./39DLL.so /usr/bin/ld: obj/Release/buffer.o: relocation R_X86_64_32 against `CBuffer::retval' can not be used when making a shared object; recompile with -fPIC

oracle oltp系统索引使用监控

由 ◇◆丶佛笑我妖孽 提交于 2020-01-11 10:27:45
1.使用语句监控应用帐号的normal索引 select owner, 'alter index ' || owner || '.'||'"'||index_name||'"'||' monitoring usage;' from dba_indexes where index_type = 'NORMAL' and uniqueness = 'NONUNIQUE' and owner in ( select username from dba_users t where t.account_status='OPEN' and t.default_tablespace not in ('SYSTEM','USERS','SYSAUX')); 2.查询索引是否被使用 select us.username owner, io.name index_name, t.name table_name, decode(bitand(i.flags, 65536), 0, 'NO', 'YES') monitoring, decode(bitand(ou.flags, 1), 0, 'NO', 'YES') used, ou.start_monitoring, ou.end_monitoring from sys.obj$ io, sys.obj$ t, sys.ind$ i, sys

module 'tensorflow' has no attribute 'flags' 解决方案

由 你说的曾经没有我的故事 提交于 2020-01-07 10:19:25
import tensorflow as tf flags = tf.flags 结果报上述的错了，改成flags = tf.app.flags， 就报module 'tensorflow' has no attribute 'app'的错， 用的是tensorflow 2.0.0版本吗？试试 tf.compat.v1.flags 来源： CSDN 作者： IT界的螺丝钉 链接： https://blog.csdn.net/qq_41387939/article/details/103866853
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