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词汇 example_english_debug
释义

Examples of debug


These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
In more detail, algorithmic debugging proceeds as follows.
The parsers for other intermediate languages simplify debugging and experimentation by making it easy to obtain inputs suitable for any given pass.
Trying to decipher such values during debugging can be quite a challenge.
In this section, related work on debugging for lazy functional languages will be reviewed and compared with our work.
To sum up, debugging of lazy functional programs is made difficult by delayed evaluation, counter-intuitive evaluation order and partially evaluated expressions.
In addition, this ideal shape grammar editor would possess debugging capabilities similar to those found in other language editors.
Any remaining redexes are instead indicated by '?' meaning that they, for the purpose of debugging, can be assumed to be correct, as discussed above.
In addition, type inference sometimes provides more useful debugging information.
The file also contains information about communication restrictions, which is useful for debugging purposes.
Also, debugging will only be possible if compilation is (efficiently) reversible, so that the grammar writer is able to view familiar structures.
According to the authors, debugging and maintenance would then mainly consist in modifying the example set.
In order to be effective, such environments should also have the means to criticize models and simulations, and help learners with debugging them.
Due to the lack of constraints, the entire stack is necessary for debugging erroneous template instantiations.
Since interpreters are typically fairly machine-independent, debugging systems based on them are also portable.
Although our previous work on types and debugging provides the intuition for this paper, we do not rely on any particular definition of inadmissibility here.
The soundness of the method is proved, and the prototype debugging tool supporting the proposed approach is illustrated on examples.
Modelling and debugging engineering decision procedures with machine learning.
The active nature of description logics is a strength from a consistency checking perspective but may be a challenge from a debugging perspective.
The case collection process is quite complicated and inefficient and case-base maintenance is very unstructured, which makes debugging the case base very difficult.
Modeling and debugging engineering decision procedures with machine learning.
Since it is interpreted, (semi-)interactive and automatic solution processes are possible, and even debugging and single-stepping of strategies is supported.
Such logical contradictions are generally undesirable, so ontology debugging attempts to 'correct' or 'repair' such problems.
Many approaches to ontology debugging use some tableau-based algorithm to pinpoint the cause of an incoherence.
Regarding software engineering issues, we are currently working to explicitly support debugging and testing of programs written in spreadsheet languages.
The lack of side-effects made debugging relatively straightforward.
Thus, the performance of our debugging approach appears competitive with the alternatives.
In this context, the difficulty of writing formatting functions to make the various intermediate results readable for debugging became quite annoying.
Because of these lacks, long hours were spent debugging problems that could have been caught as type errors.
Just an optional simple type checker could have saved hours of debugging.
They also reported that the type system was helpful in designing the solution and in debugging the program.
In section 2 the basic problems of debugging lazy functional programs are reviewed.
The problem is that monad/combinator structured code currently only can be debugged at the implementation level of the abstraction in question.
Secondly, it is used as a debugging tool.
The very same mechanism may also be employed to set breakpoints, say, for debugging or validation purposes.
Furthermore, since the only data type is strings, debugging becomes problematic: very few errors can be detected at compile time.
The goal is to minimize the time dedicated to debugging the system.
Special dictionary management tools were built for browsing, debugging and extension of the lexicon.
During a session, sent and received messages are stored and may be manipulated and re-sent for testing and debugging purposes.
There were several opinions about which improvements should be first, including scalability, deployment, and debugging of multi-agent systems.
There are some atoms encountered during debugging which simply should not occur in correct programs (for example, "ill-typed" atoms).
A spreadsheet programmer can begin debugging by using time travel to try to understand this behavior.
In particular no debugging information, run time checks or profiling code have been generated.
However, it is worth keeping in mind that the problem of debugging computationally intensive applications is not unique to our setting.
When debugging the program he needs special compilation flags and a tool such as gdb.
Another field that is closely related to ontology evolution is ontology debugging.
The absence of side-effects proved to be very useful for debugging the program.
Any divergence between them during debugging was easy to detect and isolate, leading directly to a fix.
Reflective mechanisms can be used to modify the normal operation of the interpreter to support debugging features such as single-stepping and tracing.
At the system level, the biggest problem was the lack of debugging support.
Another issue related to cost-effectiveness is that the system architecture should be easily developed, debugged, tested and maintained.
The task of implementing such complex collision terms in a numerical model is time-consuming, difficult, and error-prone, resulting in code that cannot easily be maintained and debugged.
Thirdly, and extremely important for us as researchers and system developers interested in rapid portability, is that explicit message-passing provides easy access to information needed for debugging.
Initially rules have to be debugged as they are and then, in the interaction with the other rules, so the monotonicity of rule development is not a trivial issue.
The user's answers are remembered in a database (which could be preserved across debugging sessions) so that the same question does not have to be asked twice.
In any case, lazy evaluation permits the programmer to largely forget about evaluation order, so there is a strong case for not bothering him with it during debugging.
However, creating and managing subprocesses, as opposed to threads in a single address space, could be quite complex, debugging would be cumbersome, and maintenance would be difficult.
We identified 10 research subfields which can fit under the general definition of ontology change, namely ontology mapping, morphism, matching, articulation, translation, evolution, debugging, versioning, integration and merging.
The integration to the [incr tsdb()] profiling package proved to be very useful for debugging (ensuring results were identical to a reference system) and identifying performance bottlenecks.
Much work remains in making logical spreadsheets easy to use; in particular, writing and debugging complex logical rules can be a daunting task for the non-expert.
He has described the difficulties clearly involved in writing and debugging a vast software system that can never be tested in operation.
From the
Hansard archive

Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0
However, that in itself can provide opportunities to export methods to cope with debugging the system.
From the
Hansard archive

Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0
In addition, the implementation of new inception date for each system was; when it became fully functional; when it became fully debugged; and what the cost of over-runs has been.
From the
Hansard archive

Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0
On the lowest level is a computer that must be debugged in order to stop a self-destruct sequence.
From
Wikipedia

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Both are provided with clip for charging, flashing and debugging.
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Another viable use of custom allocators is for debugging memory-related errors.
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An additional 3 digits 7-segment display used to display exponents and program steps when entering or debugging programs and 10 status indicators.
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Playism offers localization, debugging, and publishing for indie developers interested in releasing their games to foreign markets.
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The most important run-time debugging feature was the ability to change the code on the fly while debugging.
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Wikipedia

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The visualization tools are facilities of the dedicated ' 'visualizer agent' ' that enables users to observe, control and debug their agents' behaviour.
The editor includes a real-time preview for viewing game assets, as well as testing, and debugging.
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An integrated debugger allows graphically doing all debugging with breakpoints and backtraces.
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On-chip debugging solutions are heavy users of such internal scan chains.
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The target machine (the one being debugged) runs the patched kernel and the other (host) machine runs gdb.
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He has made key contributions in the areas of software design, organizational development, software debugging, and in empirical research.
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They are typically an end-to-end platform for robotics development and include tools for visual programming and creating and debugging robot applications.
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Decomposing services into a set of stages also enables modularity and code reuse, as well as the development of debugging tools for complex event-driven applications.
From
Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
He is commonly known for creating the bzip2 compression tool, as well as the valgrind memory debugging toolset founded in 2000.
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Wikipedia

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She is credited with popularizing the term debugging for fixing computer glitches (inspired by an actual moth removed from the computer).
From
Wikipedia

This example is from Wikipedia and may be reused under a CC BY-SA license.
Thus, we define ontology debugging as the process of identifying and removing undesirable logical contradictions (inconsistencies/incoherencies) from an ontology.
One is the difficulty with debugging different parts of multi-agent systems.
With this debugging information, all of the modules described here can be compiled to emit detailed traces.
However, these debugging arguments are ignored in the normal code for the modules presented below.
The environment for developing and debugging resources is uniform across the whole architecture.
At this stage debugging requires close cooperation with the component developers.
The visualisation is implemented to assist in debugging and calibration, and is also used to familiarise novice players with the physical model of the system.
Last but not least, our approach seems to be well-suited for debugging and profiling purposes.
With a modular and object-oriented design, the system components can be developed, debugged and tested independently, either by a single programmer or by a team.
Since models are debugged before software is written, errors can be detected much earlier in the development process.
The string produced by showing a handle is system dependent; it should include enough information to identify the handle for debugging.
The intermediate representations carry debugging attributes which are gradually filled in during the compilation.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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