/Btsloglog_file=btsvr.log CD $LOG _dir/if[-F $LOG _dir/$LOG _file. $YESTERDAY]; Then{tar zcf $LOG _dir/$LOG _file. $YESTERDAY. tar.gz$log_dir/$LOG _file. $YESTERDAY/BIN/MV $LOG _dir/$LOG _file $YESTERDAY. tar.gz/bak_dir/}Elseecho "The file isNot exist. " FiUse a timed task to execute the script 1 points per day: 0001 * * */bin/bash bak_logs.sh Write a script for nginx log statistics, get the top 10 IP access (nginx log path:/nginx/default/access.log)Answer:cat bak_logs.sh#!/bin/bash# This was to
if you are using WVGA as a benchmark, Put it on the HVGA and it will not be fully displayed. The problem will be more pronounced on the QHD. Even the same hdpi WVGA and qHD have problems, and QHD can show more than WVGA.use dimension resources to solve problemsAs can be seen from the above questions, the density-independent units can not solve the above problems. Of course, there is a choice for each resolution to make a layout, but this will cause a
Thinkphp converts a two-dimensional array into a one-dimensional array method applicable to tags. thinkphp dimension. Thinkphp converts a two-dimensional array into a one-dimensional array method applicable to tags. thinkphp dimension this article provides an example of Thinkphp's one-dimensional array method applicable to tags. Share with Thinkphp to convert a two-dimensional array into a one-dimensional a
Use the java date class to generate a data warehouse dimension table
Use the java date class to generate a data warehouse dimension table
Date class:
Returns the number of milliseconds of a relative date. Accurate to milliseconds, but does not support date internationalization and Time Zone display. The Date class evolved from the Java Development Kit (JDK) 1.0. At that time, it only contained several metho
This article provides a detailed analysis of the code used to determine the php array dimension. For more information, see
This article provides a detailed analysis of the code used to determine the php array dimension. For more information, see
As follows:
The Code is as follows:
/*** Returns the array dimension.* @ Param [type] $ arr [descripti
Further to this, improvements have been made to the dimension of the time frame in which the customer allows the service, and the C # version has been translated into Java, reinforcing the more graphical presentation path (which continues to be plotted in Python's matplotlib).The time-range dimension here refers to each customer having their own service time, such as from 10:00 to 12:00, which allows the hu
Generating a Data Warehouse dimension table using the Java date classDate class:The most basic date-time class that returns the number of milliseconds for a relative date. Accurate to milliseconds, but does not support the internationalization and sub-timezone display of dates. The date class began to evolve from the Java Development Package (JDK) 1.0, when it contained only a few methods of acquiring or setting up parts of a date data, such as month,
I have long wanted to summarize some of the Internet products that we see in the time dimension. With the continuous postponement of this log. The more I find out more about the design of similar web products. This is a good thing. I think it's time to make a summary list.
Plurk
At the end of last year, an MSN China "plagiarism Door"-poly-Cool plagiarism Plurk event occurred. proves that Plurk is unique. Plurk, the Chinese name for pop wave, is a so
Tags: MySQL Time dimension table1. Build a tabletest_datefor the self-growth of the date, only one column inside .ID, write a store, insert sequential numbersBEGIN
#Routine body goes
here ... declare ID int;
Set id=1;
While id 2. Create a Time dimension table, insert a record set @d0 = "2000-01-01"; set @d1 = "2020-12-31"; set @str = "Q"; set @date =
Date_sub (@d0, interval1day); Insertintodim_time sel
Linear discriminant analysis (Linear?) Discriminant? Analysis,? LDA), sometimes also called Fisher linear discriminant (Fisher?) Linear? DISCRIMINANT?,FLD),? Is this algorithm Ronald? Fisher, invented in the 1936, is a classic algorithm for pattern recognition. In the 1996, the field of pattern recognition and artificial intelligence was introduced by Belhumeur.The basic idea is to project the high-dimensional pattern sample to the best discriminant vector space, in order to achieve the effect o
Valueerror:negative dimension size caused by subtracting 3 from 1
The reason for this error is the problem with the picture channel.That is, "channels_last" and "Channels_first" data format problems.Input_shape= (3,150, 150) is the Theano, and TensorFlow needs to write: (150,150,3).
You can also set different back ends to adjust:
From Keras Import backend as K
k.set_image_dim_ordering (' th ') from
Keras Import backend as K
Array Design idea:
In VB, the number of elder sister is 60, so we deal with the problem by error capture, where we use the UBound function
Public Function Arrayrange (Marray as Variant) as Integer
Dim I as Integer
Dim Ret as Integer
Dim ERRF as Boolean
ERRF = False
On Error GoTo Errhandle
' To determine whether an incoming argument is an array
If not IsArray (Marray) Then
Arrayrange =-1
Exit Function
End If
' VB in the largest array of 60
For i = 1 to 60
' Using the UBound function to determin
introduce DP [I] [J] = DP [I]-1 [J] * j + dp [I-1] [J-1] * (k-J + 1 ), because of the large amount of data, we need to use matrix optimization. The key is to construct a matrix. Originally, we used a K-dimensional matrix to construct a relational matrix. But now we need:
DP [1] [k] + dp [1] [k] +... DP [N] [K], so we add one dimension to record and.
First, we use the rolling array Dimensionality Reduction idea to construct a matrix: F [J] = f [J-1] *
Android technology 1: dimension Unit analysis, android size
Yesterday, Alibaba's telephone interview showed me a lot of deficiencies, and I didn't pay much attention to many small knowledge points at ordinary times. Well, the first blog will analyze various size units in android.
Technology 1:
"What are the specific differences between many size units in Android"
1. dimension type
Dip, px, pt, sp, dp
Dip:
Please note that this article is from: http://www.cnblogs.com/xbinworld
Lle
Locally Linear embedding (LLE) [1] is a non-linear dimension reduction.AlgorithmIt can make the data after Dimensionality Reduction better maintain the originalManifold Structure. Lle can be said to be one of the most classic tasks of manifold learning methods. Many subsequent Manifold Learning and dimensionality reduction methods are closely related to lle.
As shown in
Tab: blog HTTP ar strong SP on 2014 art log
Procedure:
Serial number
Selected Properties
Renamed name
Attribute category
1
Datekey
Datekey
General
2
Month key
Month key
Month
3
English month name
English month name
A month of every year
4
Month number of year
Month number of year
General
5
Calendar quarter key
Calendar quarter key
Quarter
Optimize data page (18)--Dimension keywordDesign essentials: Optimize data page, interface design, beautify exceXiu Xiu : Actually I think, also is the data item, their importance degree also is different.Kim : eh?Xiu Xiu : Each line of data describes a message, the equivalent of a sentence, there will be a subject, I think the subject is the key word.Kim : Well, it's common to use keyword queries to retrieve records.Xiu Xiu : So it's also very import
PHP implements multidimensional array to string and multidimensional array to one-dimensional array method, multidimensional dimension
In this paper, we describe the method of PHP implementing multidimensional array to string and multidimensional array to one-dimensional array. Share to everyone for your reference. The implementation method is as follows:
/** * @method multidimensional array to String * @param type $array * @return type $srting * @au
PHP sorts the two arrays by the value of an element in the second dimension, and php sorts the two arrays.
For example:
1 // The original array is like this, and you want to sort it in ascending or descending order of run_date In the second dimension: 2 $ arr = array (3 0 => array (4 'run _ date' => '2017-11-21 ', 5 'Count' => '5' 6 ), 7 1 => array (8 'run _ date' => '2017-11-20 ', 9 'Count' => '10' 10 ), 1
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