tmf match

TMF Full name: telecommanagement Forum (Telecommunications Management Forum) TMF proposed the NGOSS model, including the eTOM, Tam, Sid, and TNA frameworks, It is widely accepted by international telecom operators, equipment providers, and telecom operation support system developers,Become a de facto international standard. NGOSS Full name: new generation operations systems and software(New generation ope

Big Data analysis guide TMF frameworx Best Practices Unleashing business value in Big Data Preface This article is excerpted from TMF big data analytics guidebook. TMF document copyright information Copyright©Telemanagement Forum 2013. All rights reserved. This document and translations of it may be copied and furnished to others, and derivative works that

TMF document copyright information Copyright©Telemanagement Forum 2013. All rights reserved. This document and translations of it may be copied and furnished to others, and derivative works that comment on or otherwise explain it or assist in its implementation may be prepared, copied, published, and distributed, in whole or in part, without restriction of any kind, provided that the above copyright notice and this section are supported ded on all

This is the evolution roadmap of the standard mtosi for the TMF interface.Mtosi 2.1 is developed based on the MTop framework. mtosi 3.0-> mtosi 4.0-> mtosi 5.0 will be gradually implemented based on the new tip framework.For example, mtosi 3.0 uses the tip framework to implement the following functions: Mpac o M protection and alarm control (Maintenance Protection Alarm Control) Resource alarm Management) Multi-action and request transactions

This article mainly introduces the use of the js Regular Expression longest match (Greedy match) and shortest match (lazy match, this article analyzes the specific usage and precautions of greedy matching and lazy Matching Based on the instance form. For more information, see the examples in this article) and the use o

Recently in reading Requirejs 2.1.15 source code, the source code at the beginning of the definition of a series of variables, there are 4 regular expressions:var commentregexp =/(\/\* ([\s\s]*?) \*\/| ([^:]|^) \/\/(. *) $)/mg, cjsrequireregexp =/[^.] \s*require\s*\ (\s*["'] ([^ '" \s]+) ["']\s*\]/g, jssuffixregexp =/\.js$/, currdirregexp =/^\.\//;Commentregexp is used to match the comments in JavaScript code, the use of/M can ref

Case 1:If you have saved: a:04165191666, b:5191666, the call number is: 04165191666Because it is a 7-bit match, both A and B can match, but the best match is a, and the last shows A;Call 5191666 is matched to B.Case 2:Save a:04165191666 only,Call 5191666 or 04165191666 matches a.Case 3:Save b:5191666 only,The call 5191666 or 04165191666 matches B.On the basis of

If some overseas demand, for number match number of digits, need first 10 bit match, if cannot match, then replace 7 bit matchExamples of specific situations:Case 1:If you have saved: a:04165191666, b:5191666, the call number is: 04165191666Because it is a 7-bit match, both A and B can

Match () and search () are regular match functions in Python, so what's the difference between these two functions? The match () function only detects whether the re is matched at the beginning of a string, and search () scans the entire string for matching, which means match () only returns if the 0-bit

This article is translated from the proximity matching chapter of the official Elasticsearch guide.Proximity matches (Proximity Matching)A standard full-text search using TF/IDF the document, or at least every field in the document, as a "big bag of words" (big bags of Words). The match query tells us if our search terms are included in this bag, but this is only one aspect. It cannot tell us any information about the relationship between words.Consid

, for n subjects.For each given data set, the program should write to standard output a line containing the result. Output Sample Input70: (3) 4 5 61: (2) 4 62: (0) 3: (0) 4: (2) 0 15: (1) 06: (2) 0 130: (2) 1 21: (1) 02: (1) 0 Sample Output52 Sourcesoutheastern Europe 2000 Recommendjgshining Topic Analysis:Two-dimensional graph, to find the maximum independent set. Simple question. The ma

I personally understand regular expressions-lazy matching and regular expression matching. I personally understand regular expressions-lazy matching, regular expression matching problem description link: www.hcoding.com? When I was a beginner in the p130 regular expressions, I had a question. for example, I personally understand the regular expressions-lazy matching and regular expression matching. Problem Description Link: http://www.hcoding.com /? P = 130 When you are new to regular expression

Regular Expressions match line breaks, regular expressions match line breaks At the beginning, we did not find many \ n html documents, and the results were in the format. The data between tables is incorrect. According to Baidu encyclopedia, the solution is as follows: \ S Matches any blank characters, including spaces, tabs, and page breaks. It is equivalent to [\ f \ n \ r \ t \

Today in the development of a need, is to match a price formula in the material text, example: [Goat fat jade prices]*[sheep fat Jade weight]+[Platinum Price]*[Platinum weight]+[opteron price]*[stone weight]+[Diamond price]*1.5*[Diamond weight]+[hard gold price]*1.67*[hard Gold weight], to match out [***_ Price], is within the brackets, to _ Price end of the string (representing the name of the material), I

Regular expressions are used to match consecutive numbers. Regular expressions are used to match consecutive numbers. The implementation requirements are as follows: Pure number Between 5-7 digits The first three are the same Starting from the fourth digit Example: 11123 # correct 22234 # correct 33345 # correct 333456 # correct 2223456 # correct 0001234 # correct 00012345 # error: the lengt

Regular match floating point number, match floating point number Recently, I need to write a regular expression to match a decimal number (non-negative decimal number, retain two digits). In order to facilitate study with everyone, I will write down the regular expression analysis process. First, the analysis will list all valid and illegal characters that can

Here's an example of howSuppose we set a keyword "Ford Fox makeover"1. Exact match:Ford Forks Makeover (search term exactly the same as the keyword literal)2. Phrase matching:Precise inclusion – Ford's Fox makeover, Beijing Ford Fox Makeover (exact match + full keyword)Synonymous inclusions – Ford's Fox makeover, Beijing Ford Fox Makeover, Ford White Fox makeover, Retrofit Ford Fox, Ford Forks Retrofit (precise inclusion + keyword insertion, reversal

first line has three numbers N, M, K (1OutputFor each set of data entered, output in the following format:Board T has C important blanks for L chessmen.Sample Input3 3 4 1 2 1 3 2 1 2 2 3 3 4 1 2 1 3 2 1 3 2Sample OutputBoard 1 has 0 important blanks for 2 chessmen.Board 2 has 3 important blanks for 3 chessmen. First find a maximum match, then remove each match, and then find the maximum binary

Python's regular expression defaults to "greedy match", that is, in the case of a second meaning, match the longest string as possible, followed by a question mark after the curly brace of the regular expression, can become non-greedy mode>>>>>> Haregex=re.compile (R ' (ha) {3,5} ')>>> m=haregex.search (' Hahahahahaha ')>>> print (M.group ())Hahahahaha>>>The above output of 5 ha, is greedy

Greedy match var 　 reg: TPerlRegEx; begin 　 reg := TPerlRegEx.Create(nil); 　 reg.Subject := ' 　 reg.RegEx　 := ' 　 reg.Replacement := '◆'; 　 reg.ReplaceAll; 　 ShowMessage(reg.Subject); //返回: ◆ 　 FreeAndNil(reg); end; Non-greedy match var 　 reg: TPerlRegEx; begin 　 reg := TPerlRegEx.Create(nil); 　 reg.Subject := ' 　 reg.RegEx　 := ' 　 reg.Replacement := '◆'; 　 reg.ReplaceAll; 　 ShowMessage(reg.Subject); //返