You might want to use an iterator chain to do multiple instances of anoperation that can fail, but would like to ignore failures whilecontinuing to process the successful results. In this example, we takeadvantage of the iterable nature of Result to select only theOk values using flatten.
Treasury sells bills, notes, bonds, FRNs, and TIPS at regularly scheduled auctions. Refer to the auction announcements & results press releases for more information. Follow the links below to get the latest information on:
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Unlike unwrap, this method is known to never panic on theresult types it is implemented for. Therefore, it can be usedinstead of unwrap as a maintainability safeguard that will failto compile if the error type of the Result is later changedto an error that can actually occur.
Unlike unwrap_err, this method is known to never panic on theresult types it is implemented for. Therefore, it can be usedinstead of unwrap_err as a maintainability safeguard that will failto compile if the ok type of the Result is later changedto a type that can actually occur.
Google uses structured data to understand the content on the page and show that content in a richer appearance in search results, which is called a rich result. To make your site eligible for appearance as one of these rich results, follow the guide to learn how to implement structured data on your site. If you're just getting started, visit Understand how structured data works.
Once the result of an operation is available, it is stored and is returned immediately on subsequent calls to the Result property. Note that, if an exception occurred during the operation of the task, or if the task has been cancelled, the Result property does not return a value. Instead, attempting to access the property value throws an AggregateException exception.
The eight result areas cover both mitigation and adaptation and provide the reference points that will guide GCF and its stakeholders to ensure a strategic approach when developing programmes and projects, while respecting the needs and priorities of individual countries. The result areas have been targeted because of their potential to deliver a substantial impact on mitigation and adaptation.
If you are a parent or guardian of a minor under the age of eighteen, you can request their laboratory results by logging in, authenticating your account, and completing the Request to Link Minor Child to Parent/Guardian Patient Results Portal (also available in Spanish).
You may be receiving your results before your healthcare provider. This could be because of timing of report delivery or other factors outside of laboratory or provider control. Please allow time for their review.
Your receipt of these results should not be viewed as medical advice and is not meant to replace discussion with your doctor or other healthcare professional. In order to fully understand what your lab results mean, we strongly encourage you to discuss your results with a doctor. Neither Sonora Quest Laboratories nor its Medical Director will provide interpretation, counseling, consultation, or care recommendations on the basis of any laboratory results provided to you.
A result (also called upshot) is the final consequence of a sequence of actions or events expressed qualitatively or quantitatively. Possible results include advantage, disadvantage, gain, injury, loss, value and victory. There may be a range of possible outcomes associated with an event depending on the point of view, historical distance or relevance. Reaching no result can mean that actions are inefficient, ineffective, meaningless or flawed.
Like result, outcome often implies that something has ended and reached its conclusion, such as a game or a research project. Another term for this is end result. A somewhat less common synonym is upshot.
Use stream=True for processing long videos or large datasets to efficiently manage memory. When stream=False, the results for all frames or data points are stored in memory, which can quickly add up and cause out-of-memory errors for large inputs. In contrast, stream=True utilizes a generator, which only keeps the results of the current frame or data point in memory, significantly reducing memory consumption and preventing out-of-memory issues.
Run inference on the current screen content as a screenshot.from ultralytics import YOLO# Load a pretrained YOLOv8n modelmodel = YOLO('yolov8n.pt')# Define current screenshot as sourcesource = 'screen'# Run inference on the sourceresults = model(source) # list of Results objects
Run inference on an image represented as a PyTorch tensor.import torchfrom ultralytics import YOLO# Load a pretrained YOLOv8n modelmodel = YOLO('yolov8n.pt')# Create a random torch tensor of BCHW shape (1, 3, 640, 640) with values in range [0, 1] and type float32source = torch.rand(1, 3, 640, 640, dtype=torch.float32)# Run inference on the sourceresults = model(source) # list of Results objects
Run inference on a collection of images, URLs, videos and directories listed in a CSV file.import torchfrom ultralytics import YOLO# Load a pretrained YOLOv8n modelmodel = YOLO('yolov8n.pt')# Define a path to a CSV file with images, URLs, videos and directoriessource = 'path/to/file.csv'# Run inference on the sourceresults = model(source) # list of Results objects
This involves steps as seemingly simple as recognizing and correcting spelling mistakes, and extends to trying to our sophisticated synonym system that allows us to find relevant documents even if they don't contain the exact words you used. For example, you might have searched for "change laptop brightness" but the manufacturer has written "adjust laptop brightness. Our systems understand the words and intend are related and so connect you with the right content. This system took over five years to develop and significantly improves results in over 30% of searches across languages.
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