First, the color moment formulaFirst-order color moment-mean value, reflecting the intensity of the image Second-order color moment-standard deviation, reflecting image color distribution range Third-order color moment-variance, reflecting the symmetry of image color distributionSecond, method one:
Firstmoment = mean (mean (tmpimage)); % first-order color moment
difference = Tmpimage (:,:, M)-firstmoment (1,1,M); % Differential Color moment
Secondmoment = sqrt (mean (mean (diffe
Why BULK InsertTo insert 10,000 data, if you do not bulk INSERT, then we will execute the SQL statement is 10,000 insertInsert into member (GROUP_ID, user_id, role, extend) VALUES (101, 3, NULL)Insert into member (GROUP_ID, user_id, role, extend) VALUES (101, 101, 3, NULL)Insert into member (GROUP_ID, user_id, role, extend) VALUES (
.
When a transaction acquires a row lock, the transaction also needs to obtain the table lock of the table where the row of data is located. The table lock prevents conflicting DDL operations, that is, the database automatically adds an exclusive lock to the updated row and adds a sub-exclusive lock to the table where the row is located.
Row locks and concurrency
The following uses an example to understand the relationship between row locks and concurrency.
First, create the following table and
data in parallel.
When a transaction acquires a row lock, the transaction also needs to obtain the table lock of the table where the row of data is located. The table lock prevents conflicting DDL operations, that is, the database automatically adds an exclusive lock to the updated row and adds a sub-exclusive lock to the table where the row is located.
Row locks and concurrency
The following uses an example to understand the relationship between row locks and concurrency.
First, create the fol
routers or route switches. 3. create and apply control lists in routing mode: The create control list is similar to that of CISCO, but I feel better than CISCO in configuration mode: set qos policy-soure local; use the local policy ip access-list 101 1 permit ip 10.10.10.2 any; first, put your access address out of ip access-list 101 50 permit ip 192.168.0.0 0.0.255 any; put a segment of the address and so
-info:supports- Statistics:nosupports-test:nosupports-eeprom-access:nosupports-register-dump:noIn order to avoid the address on the network interface and the network address conflict, we can create a virtual network space NS0, move the P0 interface into the network space NS0, and configure the IP address to 192.168.1.100$ IP netns Add ns0$ IP link set p0 netns ns0$ IP netns exec ns0 IP addr add 192.168.1.100/24 dev p0$ ip netns exec ns0 IFC Onfig P0 Promisc upUse the same method to create ports
pragma comment (linker, "/stack:1024000000,1024000000") include
Include
Include
Include
Includeinclude
Define RE registerdefine inf 400000000define maxn 10005define MAXM 200001
using namespace Std;int n,s,q,dis[2000011],t,l,cur[200051],m,tot,cnt;int id[101][101],a[101][101]
, 2, 3]dict_keys ([' B ', ' a ']) [[4, 5, 6], [1, 2, 3]]
After we fill in the data, it's equivalent to a quick grouping, and then iterating through each group to count the data we need.
2. Quickly convert dictionary key value pairs
Data = {...} Zip (Data.values (), Data.keys ())
Data is our format, using Zip for fast key-value conversions, and then using functions like max,min to manipulate data.
3. Sort dictionaries by public keys
From operator import Itemgetterdata = [ {' name ': ' Bran ',
running result of the above code:
defaultdict(, {})defaultdict(, {'b': [4, 5, 6], 'a': [1, 2, 3]})[1, 2, 3]dict_keys(['b', 'a'])[[4, 5, 6], [1, 2, 3]]
After filling in the data, we can quickly Group the data. then, we can traverse each group to count the data we need.
2. quickly convert Dictionary key-value pairs
data = {...}zip(data.values(), data.keys())
Data is the data in our format. after zip is used for fast key-value conversion, you can then use functions such as max and min for data
Source {|any]destination {|any][Icmp-code] [Logging]Meaning of Extended access control list operatorsequal portnumber; equal toGreater-than PortNumber; greater thanLess-than PortNumber; less thanNot-equal portnumber; unequal.Range Portnumber1 Portnumber2; intervalExamples of extended access control lists[Quidway]acl 101[Quidway-acl-101]rule deny souce any destination any[Quidway-acl-
], 'a': [1, 2, 3]})[1, 2, 3]dict_keys(['b', 'a'])[[4, 5, 6], [1, 2, 3]]
After filling in the data, we can quickly group the data. Then, we can traverse each group to count the data we need.
2. quickly convert dictionary key-value pairs
data = {...}zip(data.values(), data.keys())
Data is the data in our format. After zip is used for fast key-value conversion, you can then use functions such as max and min for data operations.
3. Sort dictionaries by public keys
from operator import itemgetterdata
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