Figuring out the variety of characters in a textual content sequence is a elementary operation in programming and net improvement. For example, limiting enter fields in on-line types, producing summaries, or analyzing textual content knowledge typically require this performance. Varied on-line instruments and programming libraries present strategies to realize this shortly and effectively, typically accepting enter immediately from the consumer or by way of an API.
This operation performs an important function in making certain knowledge integrity and optimizing consumer expertise. Traditionally, character counting was important for telecommunications and early computing methods with restricted assets. Right this moment, it stays essential for managing knowledge storage, validating consumer enter, and creating concise shows of knowledge. Efficient string size administration contributes to extra responsive functions and improved consumer interplay with digital content material.
The next sections delve into particular methods and instruments for figuring out textual content size, overlaying each client-side and server-side approaches. Examples will probably be offered in a number of frequent programming languages to show sensible implementations.
1. Character Counting
Character counting types the inspiration of figuring out string size on-line. Precisely assessing the variety of characters in a string is essential for numerous functions, from validating consumer enter in net types to managing knowledge storage and processing effectively.
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Enter Validation
Proscribing enter size based mostly on character depend is crucial for stopping errors and safety vulnerabilities. For instance, limiting a username area to a particular variety of characters prevents excessively lengthy inputs that might disrupt database storage or show. Character counting permits builders to implement these limits seamlessly inside on-line types.
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Knowledge Storage Optimization
String size immediately impacts storage necessities. Character counting permits builders to precisely estimate and allocate cupboard space, optimizing database efficiency and useful resource utilization. That is notably vital when dealing with giant volumes of textual content knowledge on-line.
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Show Administration
Character counting facilitates efficient show of textual content material. Truncating lengthy strings to suit particular show areas whereas preserving readability typically depends on correct character counts. This ensures constant presentation of knowledge throughout totally different units and display screen sizes.
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String Manipulation and Evaluation
Quite a few string manipulation duties, akin to substring extraction, concatenation, and looking, depend on character positions. Character counting gives the premise for these operations, enabling correct and environment friendly textual content processing in on-line functions.
These aspects show the integral function of character counting in managing strings on-line. From making certain knowledge integrity and optimizing storage to enhancing consumer expertise by way of environment friendly enter validation and show administration, understanding and implementing correct character counting strategies is crucial for strong and efficient on-line textual content dealing with.
2. String Manipulation
String manipulation depends closely on realizing string size. Quite a few operations, together with substring creation, concatenation, and looking, rely upon correct character counts. Figuring out string size on-line gives the foundational data for these manipulations. For instance, extracting a portion of a consumer’s enter in an internet kind requires realizing the exact location and size of the specified substring. With out an correct size calculation, these manipulations turn into unreliable, probably resulting in surprising software conduct or knowledge corruption. Successfully manipulating strings on-line necessitates strong and dependable mechanisms for calculating string size.
Take into account a situation the place an internet software must truncate user-generated content material for show in a restricted house. String size calculation is crucial to find out the suitable truncation level whereas preserving context. With out it, the appliance may reduce off phrases mid-sentence or show incomplete data. Equally, in knowledge evaluation, calculating the size of strings inside a dataset can present priceless insights into knowledge distribution and patterns. This data can then inform additional processing and evaluation. The sensible significance of this understanding is obvious: correct string size calculation is a prerequisite for strong and significant string manipulation in on-line functions.
In abstract, the connection between string manipulation and on-line size dedication is symbiotic. String size informs manipulation operations, making certain precision and reliability, whereas manipulation duties typically require correct size data for efficient execution. Challenges might come up when coping with advanced character encodings or giant datasets, requiring optimized algorithms and knowledge buildings. Understanding this interdependency is crucial for builders constructing strong and environment friendly on-line functions that deal with textual knowledge.
3. On-line Instruments
On-line instruments provide readily accessible options for calculating string size, eliminating the necessity for native improvement environments or specialised software program. These instruments usually present a easy interface the place customers can enter textual content and immediately obtain the character depend. This ease of entry makes on-line instruments notably priceless for fast checks, comparisons, or conditions the place full programmatic entry is pointless. For instance, writers may use on-line character counters to make sure their articles meet particular size necessities, or social media managers may confirm tweet lengths earlier than posting. The quick suggestions offered by these instruments streamlines content material creation and administration processes.
The performance of those on-line instruments typically extends past fundamental character counting. Many provide further options akin to phrase counting, line counting, whitespace evaluation, and even particular character searches. Some instruments cater to builders by supporting numerous character encodings like UTF-8, making certain correct calculations for various textual content material. For example, net builders can use on-line instruments to validate enter area lengths or analyze textual content knowledge extracted from net pages, aiding in duties like kind validation and knowledge preprocessing. This prolonged performance considerably broadens the applicability of on-line string size instruments.
Whereas on-line instruments present handy and accessible options, they’ve limitations. Processing extraordinarily giant textual content strings may current efficiency challenges or be restricted by the instrument’s capabilities. Moreover, reliance on exterior instruments introduces dependencies and potential safety issues if delicate knowledge is concerned. Due to this fact, whereas priceless for a lot of functions, on-line instruments are greatest fitted to easier duties and must be evaluated critically for suitability when dealing with giant datasets or delicate data. For advanced string manipulation duties or when knowledge privateness is paramount, using programming libraries inside a managed setting provides better management and safety.
4. Programming Libraries
Programming libraries present important instruments for calculating string size inside numerous improvement environments. These libraries provide pre-built features and strategies, eliminating the necessity for handbook character-by-character processing. Leveraging these assets considerably streamlines improvement workflows and ensures constant, dependable size calculations throughout totally different platforms and programming languages. This effectivity is essential for duties starting from fundamental enter validation to advanced textual content evaluation.
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Language-Particular Features
Most programming languages embody built-in features for figuring out string size. Python’s
len()perform, JavaScript’ssizeproperty, and Java’sString.size()methodology are prime examples. These features provide standardized, optimized approaches to character counting inside their respective languages, simplifying the method for builders and making certain consistency throughout initiatives. -
Common Expression Libraries
Common expression libraries provide highly effective instruments for sample matching and string manipulation, typically incorporating functionalities for size dedication. Libraries like Python’s
remodule or JavaScript’s RegExp object allow builders to extract substrings based mostly on patterns, analyze string composition, and not directly decide lengths of matched segments. These functionalities improve textual content processing capabilities, permitting for extra intricate string evaluation and manipulation. -
Multibyte Character Help
Dealing with strings with multibyte characters, frequent in languages like Unicode, requires specialised library assist. Libraries addressing multibyte character encodings guarantee correct size calculations, accounting for characters that require greater than a single byte of storage. This functionality is essential for internationalization and localization efforts, making certain right performance and knowledge integrity when coping with various character units.
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Efficiency Optimization
String size calculations inside giant datasets or high-throughput functions demand optimized library implementations. Libraries providing specialised algorithms for string processing, together with environment friendly size dedication, improve efficiency and scale back computational overhead. This optimization is vital for sustaining responsiveness and effectivity in resource-intensive functions.
The supply of those programming libraries considerably simplifies the method of calculating string size on-line, offering builders with dependable, environment friendly, and standardized instruments. By leveraging these assets, builders can deal with higher-level software logic quite than implementing low-level character counting algorithms. The selection of particular library is dependent upon the programming language, software necessities, and complexity of the string manipulation duties concerned. Whatever the chosen library, entry to strong string size calculation functionalities is prime to environment friendly and dependable textual content processing in on-line functions.
5. Shopper-Aspect JavaScript
Shopper-side JavaScript performs a vital function in figuring out string size inside net browsers, providing quick suggestions and enhanced consumer expertise with out requiring server interplay. This functionality is crucial for dynamic kind validation, interactive textual content manipulation, and real-time character counting inside net functions. By performing these calculations immediately throughout the consumer’s browser, client-side JavaScript minimizes latency and reduces server load, leading to extra responsive and environment friendly on-line interactions.
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Actual-time Character Counting
JavaScript permits real-time suggestions on string size inside enter fields. As customers sort, character counts may be dynamically up to date, offering quick visibility into enter size restrictions and stopping exceeding predefined limits. This characteristic is often utilized in on-line types, social media platforms, and content material administration methods to implement character limits and improve consumer expertise. Examples embody displaying remaining characters allowed in a tweet or limiting enter in a remark area.
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Dynamic Type Validation
String size validation is a typical requirement in net types. Shopper-side JavaScript facilitates quick validation upon consumer enter, stopping submission of invalid knowledge and offering instantaneous suggestions. This preemptive validation reduces server-side processing and improves the general kind submission course of. For example, validating password size or making certain username adheres to particular character limits may be carried out immediately throughout the browser.
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Interactive Textual content Manipulation
JavaScript empowers dynamic textual content manipulation based mostly on string size. Examples embody truncating prolonged textual content strings for show, dynamically adjusting textual content sizes based mostly on character depend, or producing summaries based mostly on predefined size constraints. These manipulations improve consumer interface design and enhance content material presentation inside net functions. Dynamically resizing textual content to suit inside a container or producing excerpts for preview are sensible functions.
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Accessibility and Internationalization
String size issues are essential for net accessibility and internationalization. Shopper-side JavaScript assists in dynamically adapting content material presentation based mostly on character depend, accommodating totally different languages and character units. This adaptability ensures a constant consumer expertise throughout various linguistic and cultural contexts. For instance, accommodating various string lengths for translated textual content inside consumer interface components enhances accessibility.
These aspects show the significance of client-side JavaScript in managing string size inside on-line functions. By performing these calculations immediately throughout the consumer’s browser, JavaScript empowers real-time suggestions, dynamic kind validation, and interactive textual content manipulation, in the end contributing to a extra responsive and user-friendly on-line expertise. Understanding and successfully using these capabilities is essential for builders aiming to create strong and environment friendly net functions that deal with textual content knowledge successfully.
6. Server-Aspect Languages
Server-side languages play a vital function in calculating string size on-line, notably when dealing with user-submitted knowledge, managing giant datasets, or performing advanced textual content evaluation. In contrast to client-side JavaScript, which operates throughout the consumer’s browser, server-side languages execute on the server, offering strong and safe string manipulation capabilities. This server-side processing ensures knowledge integrity, handles probably delicate data securely, and permits environment friendly processing of considerable textual content volumes. Take into account knowledge validation in on-line types: server-side languages confirm enter size after submission, stopping malicious or faulty knowledge from reaching the database, even when client-side validation is bypassed. This twin validation method enhances safety and knowledge integrity.
Sensible functions of server-side string size calculation embody: validating user-generated content material size earlier than storage in databases, making certain compliance with content material size restrictions in on-line platforms, and performing textual content evaluation for sentiment evaluation or content material filtering based mostly on string size. For example, social media platforms make the most of server-side processing to implement character limits on posts, sustaining platform consistency and optimizing storage. E-commerce websites may use server-side string size calculations to generate product descriptions or summaries for show. These examples show the integral function of server-side languages in dealing with string size calculations for numerous on-line functionalities.
String size dedication on the server provides enhanced safety and effectivity in comparison with client-side strategies, particularly when coping with delicate knowledge or giant textual content volumes. Nevertheless, server-side processing introduces latency because of the want for knowledge transmission between the shopper and server. Optimizing server-side code for environment friendly string dealing with is essential for sustaining software responsiveness. Moreover, issues concerning character encoding and internationalization are important for correct and constant size calculations throughout various languages and character units. Understanding the capabilities and limitations of server-side string size processing is prime for builders constructing strong and scalable on-line functions.
7. Knowledge Validation
Knowledge validation depends closely on string size calculations to make sure knowledge integrity and forestall potential vulnerabilities. String size acts as a elementary verify towards surprising or malicious enter. By defining acceptable size parameters, methods can reject knowledge exceeding prescribed limits, stopping buffer overflows, database errors, and show inconsistencies. This preventative measure is essential in safeguarding towards potential exploits and making certain knowledge conforms to anticipated codecs. For example, limiting the size of enter fields in on-line types safeguards towards excessively lengthy strings that might disrupt database storage or trigger show points. This preemptive validation mechanism contributes considerably to sustaining knowledge integrity inside on-line methods.
Past safety implications, string size validation contributes to knowledge high quality and consistency. Purposes ceaselessly implement particular size constraints based mostly on knowledge format necessities or enterprise guidelines. Validating string size towards these constraints ensures knowledge adheres to predefined requirements, facilitating interoperability and downstream processing. Examples embody validating bank card numbers, cellphone numbers, or postal codes based mostly on their anticipated lengths. This structured method to knowledge administration simplifies knowledge evaluation, reporting, and alternate between totally different methods. Furthermore, imposing string size limits ensures environment friendly knowledge storage by allocating the suitable house and stopping extreme useful resource consumption.
Efficient knowledge validation by way of string size calculations is crucial for strong and dependable on-line functions. String size serves as a readily accessible and environment friendly criterion for figuring out probably problematic knowledge. Whereas different validation methods exist, length-based validation provides a simple preliminary layer of protection, shortly figuring out and rejecting out-of-bounds knowledge earlier than extra computationally intensive validation processes are initiated. The sensible implications of this understanding are important: implementing strong string size validation safeguards towards numerous knowledge integrity points, enhances safety, and contributes to total system reliability. Nevertheless, relying solely on string size validation is inadequate for complete knowledge sanitization. Complementing size checks with different validation methods ensures a multi-layered method to knowledge integrity, maximizing safety towards numerous potential threats and knowledge high quality points.
8. Enter Area Limits
Enter area limits and on-line string size calculation are intrinsically linked. Enter limits outline the utmost variety of characters permitted inside a textual content enter area, stopping customers from coming into excessively lengthy strings. String size calculation gives the mechanism for imposing these limits, enabling real-time suggestions and validation throughout consumer enter. This connection is essential for sustaining knowledge integrity, making certain environment friendly storage, and stopping potential vulnerabilities. Take into account a database area designed to retailer usernames with a most size of 20 characters. With out enter area limits enforced by way of string size calculation, a consumer might submit an extended username, probably inflicting database errors or truncation points. This direct hyperlink between enter limits and size calculation is prime to strong knowledge dealing with in on-line functions.
The significance of enter area limits as a part of on-line string size administration is multifaceted. From a safety perspective, limits stop buffer overflow vulnerabilities, the place excessively lengthy enter strings can overwrite reminiscence, probably resulting in system crashes or safety breaches. By way of knowledge integrity, limits guarantee knowledge consistency and forestall truncation or corruption points when storing knowledge in databases or different knowledge buildings. Moreover, enter limits contribute to a constructive consumer expertise by offering clear constraints and stopping customers from inadvertently coming into extreme knowledge. For instance, limiting the size of a tweet ensures concise communication throughout the platform’s constraints and prevents customers from unknowingly exceeding the character restrict. Sensible functions span numerous domains, from social media platforms and e-commerce web sites to on-line banking and authorities companies. Understanding this sensible significance is essential for builders constructing strong and safe on-line functions.
Efficient implementation of enter area limits requires cautious consideration of knowledge varieties, character encoding, and potential internationalization necessities. Completely different character encodings may characterize characters utilizing various numbers of bytes, impacting size calculations. Moreover, internationalization efforts should account for various character lengths and show properties throughout totally different languages. Whereas enter area limits present important management over knowledge enter, they should be applied thoughtfully to keep away from inadvertently limiting legitimate enter or creating usability points. Addressing these challenges by way of strong string size dealing with mechanisms and applicable encoding practices ensures constant and dependable enter validation throughout various consumer environments and software necessities. In the end, the combination of enter area limits and correct string size calculation types a cornerstone of safe and environment friendly knowledge dealing with in on-line functions.
9. Textual content Processing Effectivity
Textual content processing effectivity is considerably impacted by the flexibility to shortly and precisely decide string size on-line. Environment friendly string size dedication is prime to numerous textual content processing operations, influencing efficiency, useful resource utilization, and total software responsiveness. From fundamental operations like string comparisons and substring extraction to extra advanced duties akin to pure language processing and knowledge evaluation, the velocity and accuracy of size calculations play a vital function. Understanding this connection is significant for optimizing textual content processing workflows and constructing environment friendly on-line functions.
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Search Optimization
String size performs a vital function in search algorithms. Figuring out the size of search phrases and indexing strings based mostly on size contributes to environment friendly search retrieval. Optimized search indexing typically incorporates string size as a key parameter for organizing and retrieving knowledge shortly. For instance, search engines like google may prioritize shorter, extra particular search phrases or categorize listed content material based mostly on string size for environment friendly retrieval.
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Knowledge Storage and Retrieval
String size immediately impacts storage necessities and retrieval effectivity. Databases and knowledge storage methods typically optimize storage based mostly on string size, allocating applicable house and minimizing wasted assets. Environment friendly retrieval algorithms leverage string size data for optimized knowledge entry, decreasing question execution time. For instance, storing strings of comparable lengths collectively can enhance retrieval velocity by minimizing disk seeks or reminiscence entry operations.
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String Comparability Algorithms
Many string comparability algorithms, akin to Levenshtein distance or longest frequent subsequence, make the most of string size as a core part of their calculations. The effectivity of those algorithms is immediately affected by the velocity of size dedication. Correct and fast size calculations contribute to sooner comparability operations, bettering total textual content processing efficiency. This effectivity is essential for functions like spell checking, plagiarism detection, and DNA sequencing evaluation.
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Common Expression Matching
Common expression engines typically make the most of string size data for optimizing sample matching operations. Realizing the size of the goal string and the sample string can considerably enhance matching effectivity, notably when coping with advanced patterns or giant textual content corpora. This optimization reduces processing time and useful resource consumption, making common expression matching extra environment friendly for duties like enter validation and knowledge extraction.
These aspects illustrate the integral relationship between textual content processing effectivity and on-line string size calculation. Environment friendly size dedication serves as a foundational aspect for optimizing numerous textual content processing operations, from search and storage to comparisons and sample matching. Ignoring the impression of string size calculation can result in efficiency bottlenecks and inefficient useful resource utilization. Due to this fact, understanding and optimizing string size dedication strategies is essential for constructing environment friendly and scalable on-line functions that course of textual knowledge successfully. Moreover, the selection of particular string size calculation strategies and knowledge buildings ought to align with the general textual content processing technique, contemplating elements like character encoding, knowledge quantity, and efficiency necessities. This holistic method ensures optimum textual content processing effectivity throughout the context of the web software.
Steadily Requested Questions
This part addresses frequent inquiries concerning on-line string size dedication, offering concise and informative responses.
Query 1: How does character encoding have an effect on on-line string size calculation?
Character encoding schemes, akin to UTF-8 or ASCII, decide how characters are represented digitally. Completely different encodings use various numbers of bytes to characterize a single character, which immediately impacts calculated string size. Correct size dedication requires consciousness of the encoding used and using strategies that accurately interpret multibyte characters.
Query 2: What are the restrictions of on-line string size instruments?
On-line instruments provide comfort however have limitations. Processing very giant strings may encounter efficiency points or knowledge dimension restrictions. Knowledge privateness issues exist when submitting delicate data to exterior instruments. Moreover, performance is perhaps restricted to fundamental character counting, missing superior options supplied by programming libraries.
Query 3: How does string size impression knowledge storage in databases?
String size immediately influences database storage necessities. Database methods allocate storage based mostly on outlined string size limits for fields. Exceeding these limits can result in knowledge truncation or errors. Environment friendly database design includes cautious consideration of string size limits to optimize storage and forestall knowledge loss.
Query 4: Why is client-side string size validation vital in net types?
Shopper-side validation gives quick suggestions to customers, stopping submission of invalid knowledge and bettering consumer expertise. Validating string size earlier than kind submission reduces server load and prevents pointless knowledge transmission. Nevertheless, client-side validation must be complemented by server-side validation for strong safety.
Query 5: How does string size have an effect on search algorithm effectivity?
String size is a think about search algorithms. Serps typically index content material based mostly on string size for environment friendly retrieval. Search time period size influences search question processing and matching algorithms. Understanding the connection between string size and search effectivity helps optimize search methods and indexing processes.
Query 6: Are there efficiency issues when calculating string lengths in giant datasets?
Processing giant datasets requires environment friendly string size calculation strategies. Optimized algorithms and knowledge buildings reduce processing time and useful resource consumption. Selecting applicable programming libraries with optimized string dealing with functionalities is essential for dealing with giant datasets effectively.
Correct and environment friendly string size dedication is essential for sustaining knowledge integrity, optimizing efficiency, and making certain software safety. Understanding the elements influencing string size calculations is crucial for efficient textual content processing in on-line environments.
The following part gives sensible examples of string size calculations in numerous programming languages.
Suggestions for Efficient String Size Administration
Optimizing string size dealing with is essential for knowledge integrity, software efficiency, and safety. The next suggestions present sensible steerage for successfully managing string size in on-line functions.
Tip 1: Validate Enter Size: At all times validate string size on each shopper and server sides. Shopper-side validation gives quick suggestions to customers, whereas server-side validation ensures knowledge integrity and safety, even when client-side checks are bypassed.
Tip 2: Outline Acceptable Limits: Set up applicable string size limits based mostly on knowledge sort, storage capability, and show constraints. Keep away from excessively giant limits to forestall potential vulnerabilities and optimize storage utilization.
Tip 3: Take into account Character Encoding: Account for character encoding when calculating and validating string size. Completely different encodings use various numbers of bytes per character, impacting size calculations, particularly with Unicode and multibyte characters.
Tip 4: Make the most of Programming Libraries: Leverage programming language libraries for string size calculations. These libraries provide optimized features for correct and environment friendly size dedication, avoiding handbook character processing.
Tip 5: Optimize Database Schema: Outline applicable string size limits for database fields. This optimizes storage, prevents knowledge truncation, and ensures knowledge consistency. Cautious schema design based mostly on anticipated string lengths contributes to total database efficiency.
Tip 6: Deal with Massive Strings Effectively: Make use of environment friendly algorithms and knowledge buildings when dealing with giant strings or textual content datasets. Take into account specialised libraries optimized for big string processing to reduce efficiency bottlenecks and useful resource consumption.
Tip 7: Prioritize Safety: String size validation serves as a vital safety measure towards vulnerabilities like buffer overflows. Imposing applicable size restrictions safeguards towards potential exploits and protects system integrity.
Implementing the following tips ensures strong string size administration, contributing to environment friendly knowledge dealing with, improved software efficiency, and enhanced safety in on-line environments. Constant software of those rules strengthens code reliability and reduces potential data-related points.
By understanding the nuances of string size dealing with and implementing these sensible methods, builders create strong and environment friendly functions able to managing textual knowledge successfully.
Conclusion
Correct dedication of string size in on-line environments is essential for knowledge integrity, software safety, and environment friendly textual content processing. Exploration of this subject has revealed the multifaceted nature of string size calculations, encompassing facets akin to character encoding, knowledge validation, enter area limitations, and efficiency optimization. Key takeaways embody the need of each client-side and server-side validation, the significance of contemplating character encoding variations, and the numerous function of optimized algorithms and knowledge buildings in dealing with giant textual content datasets effectively. Moreover, the interdependency between string size calculations and numerous textual content processing operations, from search algorithms to knowledge storage, underscores the necessity for strong and correct size dedication strategies.
String size, typically an missed side of on-line knowledge administration, performs a pivotal function within the reliability, safety, and efficiency of on-line functions. As knowledge volumes proceed to develop and textual content processing calls for enhance, mastering efficient string size administration turns into paramount. Additional analysis and improvement in optimized string algorithms and knowledge buildings will probably be important to deal with rising challenges in large-scale textual content processing and evaluation. A rigorous method to string size dealing with empowers builders to construct strong, safe, and environment friendly functions able to successfully managing the ever-increasing quantity of textual knowledge on-line.
