CN114328040A - Method and system for detecting abnormal board card, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses a method for detecting an abnormal board card, which comprises the following steps: acquiring test logs of all board cards in a target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card; extracting log file names of all the test logs into a target document; the board card identification with the occurrence frequency larger than 1 in the target document is set as an abnormal board card identification, the board card corresponding to the abnormal board card identification is set as an abnormal board card, and the detection efficiency of the abnormal board card can be improved. The application also discloses a detection system of the abnormal board card, a storage medium and an electronic device, which have the beneficial effects.
Description
Technical Field
The present disclosure relates to the field of server testing technologies, and in particular, to a method and a system for detecting an abnormal board, an electronic device, and a storage medium.
Background
With the rapid development of current computing power, the usage of servers is rising sharply. The research and development and the iterative update of the server are particularly important, each board card in the server needs to be subjected to startup verification before leaving a factory, and the verification of each board card generates a test log with a file name containing a board card identifier (SN). Although the test system is started up and verified, the problem still exists in the board due to the problem of the test system or improper operation of an operator, and the outflow of the problem board can be further avoided by checking all test logs. In the related art, the abnormal board card is mainly determined according to the test log in a manual inspection mode, but the detection efficiency is low.
Therefore, how to improve the detection efficiency of the abnormal board card is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a detection method of an abnormal board card, a detection system of the abnormal board card, electronic equipment and a storage medium, and the detection efficiency of the abnormal board card can be improved.
In order to solve the above technical problem, the present application provides a method for detecting an abnormal board card, where the method for detecting an abnormal board card includes:
acquiring test logs of all board cards in a target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card;
extracting log file names of all the test logs into a target document;
and setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification, and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
Optionally, after extracting log file names of all the test logs into the target document, the method further includes:
judging whether an abnormal board card identification with the occurrence frequency larger than 1 exists in the target document;
and if so, removing the log file name corresponding to the abnormal board card identifier from the target document.
Optionally, after determining whether there is an abnormal board identifier whose occurrence frequency is greater than 1 in the target document, the method further includes:
if the target document does not have the abnormal board card identification with the occurrence frequency larger than 1, determining the current log file name from the target document;
acquiring a configuration rule, and updating the configuration rule according to the board card identification in the current log file name;
and detecting the test log corresponding to the current log file name by using the updated configuration rule, and determining an abnormal board card according to the detection result.
Optionally, before the obtaining the configuration rule, the method further includes:
determining to-be-detected log contents and occurrence number standard values corresponding to the to-be-detected log contents;
and constructing the configuration rule according to the corresponding relation between the to-be-detected log content and the occurrence number standard value, and replacing the board card identification in the configuration rule with a target character.
Optionally, updating the configuration rule according to the board identifier in the current log file name includes:
and replacing the target characters in the configuration rule with the board card identification in the current log file name so as to update the configuration rule.
Optionally, the detecting the test log corresponding to the current log file name by using the updated configuration rule, and determining an abnormal board card according to the detection result, includes:
judging whether the occurrence frequency of each log content to be detected in the test log corresponding to the current log file name is equal to the occurrence frequency standard value or not according to the updated configuration rule;
if not, determining that the board card corresponding to the current log file name is the abnormal board card.
Optionally, after the determining the abnormal board card according to the detection result, the method further includes:
judging whether the test logs corresponding to the log file names in the target document are all tested;
if not, the step of determining the current log file name from the target document is carried out.
The application also provides a detection system of an abnormal board card, and the system comprises:
the log acquisition module is used for acquiring test logs of all board cards in the target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card;
the file name extraction module is used for extracting log file names of all the test logs into a target document;
and the abnormal board card detection module is used for setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
The application also provides a storage medium, on which a computer program is stored, and when the computer program is executed, the steps executed by the method for detecting the abnormal board card are realized.
The application also provides electronic equipment which comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes the execution of the detection method of the abnormal board card when calling the computer program in the memory.
The application provides a method for detecting an abnormal board card, which comprises the following steps: acquiring test logs of all board cards in a target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card; extracting log file names of all the test logs into a target document; and setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification, and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
According to the method and the device, the test logs of all board cards in the target server are obtained firstly, the log file names of the test logs are extracted into the target document, and if a plurality of identical log file names appear in the target document, the situation that the board cards are tested repeatedly is shown. The method and the device have the advantages that the board card identification with the occurrence frequency larger than 1 is set as the abnormal board card identification, and the board card corresponding to the abnormal board card identification is set as the abnormal board card. The application provides an unusual integrated circuit board detection scheme need not the manual work and detects the test log one by one, therefore this scheme can improve the detection efficiency of unusual integrated circuit board. The application also provides a detection system of the abnormal board card, a storage medium and an electronic device, which have the beneficial effects and are not repeated.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of a method for detecting an abnormal board card according to an embodiment of the present application;
fig. 2 is a flowchart of a method for batch testing of board diagnostic logs according to an embodiment of the present disclosure;
FIG. 3 is a GUI interface diagram of a test program according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a system for detecting an abnormal board card according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart of a method for detecting an abnormal board card according to an embodiment of the present application.
The specific steps may include:
s101: acquiring test logs of all board cards in a target server;
the embodiment can be applied to a board card testing device, the operation of testing the board cards in the server can exist before the step, and the test logs corresponding to each board card can be obtained after the test is finished. Each board card has a board card identifier sn (series number) uniquely corresponding thereto, and the log file name of the test log includes the board card identifier.
S102: extracting log file names of all the test logs into a target document;
after the test logs of the board cards are obtained, the log file name of each test log can be determined, and then the log file name is extracted to the target document.
S103: and setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification, and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
After the log file name is extracted to the target document, the present embodiment may count the occurrence frequency of each board card identifier in the target document. If the frequency of the board card identification in the target document is greater than 1, the board card identification corresponding to the board card identification is a repeatedly detected board card or a board card with an error use of the board card identification, so that the board card identification with the frequency of greater than 1 in the target document can be set as an abnormal board card identification, and the board card corresponding to the abnormal board card identification is set as an abnormal board card.
In this embodiment, the test logs of all board cards in the target server are obtained first, and the log file names of the test logs are extracted into the target document, and if a plurality of identical log file names appear in the target document, the situation that the board cards are tested repeatedly is described. In this embodiment, the board identifier with the occurrence frequency greater than 1 is set as an abnormal board identifier, and the board corresponding to the abnormal board identifier is set as an abnormal board. The abnormal board card detection scheme provided by the embodiment does not need to manually detect the test logs one by one, so that the detection efficiency of the abnormal board card can be improved.
As a further introduction to the corresponding embodiment of fig. 1, after extracting log file names of all the test logs into a target document, it may also be determined whether an abnormal board card identifier whose occurrence frequency is greater than 1 exists in the target document; and if so, removing the log file name corresponding to the abnormal board card identifier from the target document.
Further, after judging whether the target document has the abnormal board card identifier with the occurrence frequency greater than 1, if the target document does not have the abnormal board card identifier with the occurrence frequency greater than 1, determining the current log file name from the target document, and continuously detecting the abnormal board card by using a configuration rule. In addition, in this embodiment, after the log file name corresponding to the abnormal board identifier is removed from the target document, the current log file name may be determined in the target document from which the log file name corresponding to the abnormal board identifier is removed, and the abnormal board may be continuously detected by using the configuration rule.
Specifically, the embodiment can determine the log content to be detected and the standard value of the occurrence times corresponding to each log content to be detected; and then constructing the configuration rule according to the corresponding relation between the content of the log to be detected and the standard value of the occurrence times, and replacing the board card identification in the configuration rule with a target character. After obtaining the configuration rule, the present embodiment may update the configuration rule according to the board identifier in the current log file name; and detecting the test log corresponding to the current log file name by using the updated configuration rule, and determining an abnormal board card according to the detection result.
Specifically, in this embodiment, the target character in the configuration rule may be replaced by the board identifier in the current log file name, so as to update the configuration rule.
Specifically, the embodiment may determine the abnormal board card according to the updated configuration rule in the following manner: judging whether the occurrence frequency of each log content to be detected in the test log corresponding to the current log file name is equal to the occurrence frequency standard value or not according to the updated configuration rule; if not, determining that the board card corresponding to the current log file name is the abnormal board card.
After the abnormal board card is determined according to the detection result, whether the test logs corresponding to the log file names in the target document are all tested can be judged; and if not, determining the current log file name from the target document so as to detect the board card corresponding to each log file name in the target document.
The flow described in the above embodiment is explained below by an embodiment in practical use.
Referring to fig. 2, fig. 2 is a flowchart of a method for batch testing of board diagnostic logs according to an embodiment of the present disclosure, where the embodiment may include the following steps: acquiring all board cards from a factory, and opening test software; selecting a log path in the test software, and further checking whether a board card is tested repeatedly. And configuring a check rule, and performing content check by using the check rule so as to analyze error information.
Referring to fig. 3, fig. 3 is a GUI interface schematic diagram of a test program according to an embodiment of the present disclosure, where the embodiment can display a lot number and a board identifier of a board on the GUI interface. Path D is shown in fig. 3: \ boardlog, and error information SN: SWM924K4004a01, error: rule3 is not 2.
The embodiment can operate in the test program to detect the abnormal board card in the following manner:
(1) firstly clicking a 'path selection' button to select the path of the log.
(2) Clicking a 'repeated check' button, firstly extracting all log file names by a program, writing the log file names into sn.txt, enabling the SN used by each file to be in a row, then counting the number of each SN in the sn.txt, if a certain number is not unique, indicating that the SN used by the file name in the log file is the same, namely representing that the board with repeated detection or the SN uses an error board, and if not, indicating that the log file is normal.
(3) Clicking 'rule configuration', opening a rule configuration file, wherein the rule configuration file is as follows:
[RULE]
rule1＝″I210MAC Check mactable＝$mac I210MAC＝$mac，Expected is mactable＝$mac I210MAC＝$mac......Test Passed″
rule2＝″Onie Fru YZSW-02720-101，1，130，INSPUR，CN，Expected is YZSW-02720-101，01，130，INSPUR，CN....Test Passed”
rule3＝″Board Mfg Date：Wed Sep 29 00:00:00 2021″
rule4＝″Board Mfg：INSPUR″
rule5＝″Board Product：Switch Main Board″
rule6＝″Board Serial：$qn″
rule7＝″Board Part Number：YZSW-02720-101″
rule8＝″Board Extra 1：A01″
rule9＝″Product Version：A01″
rule10＝″Product Extra 3：130″
rule11＝″SMB Fru$qn，YZSW-02720-101，A01，A01，130，Expected is$qn，YZSW-02720-101，A01，A01，130......Test Passed″
[NUM]
rule1＝1
rule2＝1
rule3＝2
rule4＝2
ruleS＝2
rule6＝2
rule7＝2
rule8＝2
rule9＝2
rule10＝2
rle11＝1
the rule configuration method comprises the following steps: the user configures the log content to be checked according to the requirement, and adds the log line information to be checked into [ RULE ], wherein the specific SN is replaced by $ SN; because some log content may appear more than once, the number of times that the upper corresponding rule should appear is configured under [ NUM ]; and saving and closing after configuration is completed.
Clicking 'content inspection', and starting inspection by program running; firstly, reading rule.txt content and storing a check rule by a program; and then, taking a line of content in sn.txt, namely SN, finding a log file with the file name containing the SN according to the SN, using the true SN to replace $ SN (namely target characters) in the rule, reading the log content, checking whether each rule appears in the log or not, namely the values of rule1, rule2, rule3, rule4, rule5 and the like, and finally judging whether the values of rule1, rule2, rule3, rule4, rule5 and the like are equal to the values in the configuration file or not, wherein if the values are equal, the board is normal, and otherwise, the board is an abnormal board. In the embodiment, whether the board card is checked repeatedly or the SN uses the wrong board card is checked; and autonomously configuring the checking rules according to the requirements to check the log files in batches.
The embodiment determines whether there is a problem by checking the number of times that the corresponding detection item log appears in the log file; the problem that this embodiment solves is that when checking the test logs in batches, it is not necessary to open each log file for manual checking, but a method is provided for checking in batches, so that checking efficiency is improved. According to the embodiment, the board card diagnosis log batch inspection system is developed, so that the testers can further detect board card test information in batches, the problem board cards can be effectively prevented from flowing out, quality control is enhanced, and the quality of the delivered products is guaranteed.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a system for detecting an abnormal board card according to an embodiment of the present application;
the system may include:
a log obtaining module 401, configured to obtain test logs of all board cards in the target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card;
a file name extraction module 402, configured to extract log file names of all the test logs into a target document;
an abnormal board card detection module 403, configured to set, as an abnormal board card identifier, a board card identifier whose occurrence frequency is greater than 1 in the target document, and set, as an abnormal board card, a board card corresponding to the abnormal board card identifier.
In this embodiment, the test logs of all board cards in the target server are obtained first, and the log file names of the test logs are extracted into the target document, and if a plurality of identical log file names appear in the target document, the situation that the board cards are tested repeatedly is described. In this embodiment, the board identifier with the occurrence frequency greater than 1 is set as an abnormal board identifier, and the board corresponding to the abnormal board identifier is set as an abnormal board. The abnormal board card detection scheme provided by the embodiment does not need to manually detect the test logs one by one, so that the detection efficiency of the abnormal board card can be improved.
Further, the method also comprises the following steps:
the abnormal board card identifier removing module is used for judging whether the abnormal board card identifiers with the occurrence frequency larger than 1 exist in the target document after the log file names of all the test logs are extracted into the target document; and if so, removing the log file name corresponding to the abnormal board card identifier from the target document.
Further, the method also comprises the following steps:
the current log file name determining module is used for determining the current log file name from the target document if the abnormal board card identification with the occurrence frequency larger than 1 does not exist in the target document after judging whether the abnormal board card identification with the occurrence frequency larger than 1 exists in the target document;
the rule updating module is used for acquiring a configuration rule and updating the configuration rule according to the board card identification in the current log file name;
and the rule detection module is used for detecting the test log corresponding to the current log file name by using the updated configuration rule and determining an abnormal board card according to the detection result.
Further, the method also comprises the following steps:
the rule generating module is used for determining the log contents to be detected and the standard value of the occurrence times corresponding to each log content to be detected before the configuration rule is acquired; and the configuration rule is established according to the corresponding relation between the content of the log to be detected and the standard value of the occurrence times, and the board card identification in the configuration rule is replaced by the target character.
Further, the rule updating module is configured to replace a target character in the configuration rule with a board identifier in the current log file name, so as to update the configuration rule.
Further, the rule detection module is configured to determine, according to the updated configuration rule, whether the occurrence frequency of each to-be-detected log content in the test log corresponding to the current log file name is equal to the occurrence frequency standard value; if not, determining that the board card corresponding to the current log file name is the abnormal board card.
Further, the method also comprises the following steps:
the traversal module is used for judging whether the test logs corresponding to the log file names in the target document are all tested after the abnormal board card is determined according to the detection result; if not, the step of determining the current log file name from the target document is carried out.
Since the embodiment of the system part corresponds to the embodiment of the method part, the embodiment of the system part is described with reference to the embodiment of the method part, and is not repeated here.
The present application also provides a storage medium having a computer program stored thereon, which when executed, may implement the steps provided by the above-described embodiments. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The application further provides an electronic device, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided by the foregoing embodiments when calling the computer program in the memory. Of course, the electronic device may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for detecting an abnormal board card is characterized by comprising the following steps:
acquiring test logs of all board cards in a target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card;
extracting log file names of all the test logs into a target document;
and setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification, and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
2. The method for detecting an abnormal board card according to claim 1, after extracting log file names of all the test logs into a target document, further comprising:
judging whether an abnormal board card identification with the occurrence frequency larger than 1 exists in the target document;
and if so, removing the log file name corresponding to the abnormal board card identifier from the target document.
3. The method for detecting an abnormal board according to claim 2, after determining whether the target document has an abnormal board identifier whose occurrence frequency is greater than 1, further comprising:
if the target document does not have the abnormal board card identification with the occurrence frequency larger than 1, determining the current log file name from the target document;
acquiring a configuration rule, and updating the configuration rule according to the board card identification in the current log file name;
and detecting the test log corresponding to the current log file name by using the updated configuration rule, and determining an abnormal board card according to the detection result.
4. The method according to claim 3, wherein before the obtaining the configuration rule, the method further comprises:
determining to-be-detected log contents and occurrence number standard values corresponding to the to-be-detected log contents;
and constructing the configuration rule according to the corresponding relation between the to-be-detected log content and the occurrence number standard value, and replacing the board card identification in the configuration rule with a target character.
5. The method according to claim 4, wherein updating the configuration rule according to the board identifier in the current log file name includes:
and replacing the target characters in the configuration rule with the board card identification in the current log file name so as to update the configuration rule.
6. The method according to claim 4, wherein the detecting the test log corresponding to the current log file name by using the updated configuration rule and determining the abnormal board according to the detection result includes:
judging whether the occurrence frequency of each log content to be detected in the test log corresponding to the current log file name is equal to the occurrence frequency standard value or not according to the updated configuration rule;
if not, determining that the board card corresponding to the current log file name is the abnormal board card.
7. The method according to claim 3, wherein after determining the abnormal board according to the detection result, the method further comprises:
judging whether the test logs corresponding to the log file names in the target document are all tested;
if not, the step of determining the current log file name from the target document is carried out.
8. The utility model provides a detection system of unusual integrated circuit board which characterized in that includes:
the log acquisition module is used for acquiring test logs of all board cards in the target server; the log file name of the test log comprises a board card identifier which is uniquely corresponding to the board card;
the file name extraction module is used for extracting log file names of all the test logs into a target document;
and the abnormal board card detection module is used for setting the board card identification with the occurrence frequency larger than 1 in the target document as an abnormal board card identification and setting the board card corresponding to the abnormal board card identification as an abnormal board card.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for detecting an abnormal board according to any one of claims 1 to 7 when calling the computer program in the memory.
10. A storage medium, wherein computer-executable instructions are stored in the storage medium, and when being loaded and executed by a processor, the computer-executable instructions implement the steps of the method for detecting an abnormal board card according to any one of claims 1 to 7.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101118513A (en) * | 2006-08-03 | 2008-02-06 | 鸿富锦精密工业（深圳）有限公司 | Board testing system and method |
| CN109614469A (en) * | 2018-12-03 | 2019-04-12 | 郑州云海信息技术有限公司 | A kind of log analysis method and device |
| CN111078447A (en) * | 2019-11-24 | 2020-04-28 | 杭州安恒信息技术股份有限公司 | Method, device, equipment and medium for positioning abnormity in micro-service architecture |
| CN111176927A (en) * | 2019-11-26 | 2020-05-19 | 中盈创信(北京)科技有限公司 | Detection system and detection method for functional board card |
| CN111324192A (en) * | 2020-02-26 | 2020-06-23 | 苏州浪潮智能科技有限公司 | System board power supply detection method, device, equipment and storage medium |
| CN112631841A (en) * | 2020-12-07 | 2021-04-09 | 苏州浪潮智能科技有限公司 | Method, system and medium for cyclic aging test and data collection |
| CN113238913A (en) * | 2021-05-12 | 2021-08-10 | 康键信息技术（深圳）有限公司 | Intelligent server fault pushing method, device, equipment and storage medium |
-
2021
- 2021-11-30 CN CN202111445022.5A patent/CN114328040B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101118513A (en) * | 2006-08-03 | 2008-02-06 | 鸿富锦精密工业（深圳）有限公司 | Board testing system and method |
| CN109614469A (en) * | 2018-12-03 | 2019-04-12 | 郑州云海信息技术有限公司 | A kind of log analysis method and device |
| CN111078447A (en) * | 2019-11-24 | 2020-04-28 | 杭州安恒信息技术股份有限公司 | Method, device, equipment and medium for positioning abnormity in micro-service architecture |
| CN111176927A (en) * | 2019-11-26 | 2020-05-19 | 中盈创信(北京)科技有限公司 | Detection system and detection method for functional board card |
| CN111324192A (en) * | 2020-02-26 | 2020-06-23 | 苏州浪潮智能科技有限公司 | System board power supply detection method, device, equipment and storage medium |
| WO2021169260A1 (en) * | 2020-02-26 | 2021-09-02 | 苏州浪潮智能科技有限公司 | System board card power supply test method, apparatus and device, and storage medium |
| CN112631841A (en) * | 2020-12-07 | 2021-04-09 | 苏州浪潮智能科技有限公司 | Method, system and medium for cyclic aging test and data collection |
| CN113238913A (en) * | 2021-05-12 | 2021-08-10 | 康键信息技术（深圳）有限公司 | Intelligent server fault pushing method, device, equipment and storage medium |
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