cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data in Python. When JSON data is structured as columnar data, it gains access to the powerful cuDF DataFrame API. We are excited to open up the possibilities of GPU acceleration to more ...
Makefile README.md RELEASING.md compile_flags.txt generate-kernelspec.py pyproject.toml pyrightconfig.json requirements-dev.txt setup.py README Code of conduct Apache-2.0 license The Fil memory profiler for Python Your Python code reads some data, processes it, and uses too much memory; maybe...
The API analyzes identity documents (including the following) and returns a structured JSON data representation. Expand table RegionDocument types Worldwide Passport Book, Passport Card United States Driver License, Identification Card, Residency Permit (Green card), Social Security Card, Military ID ...
Sometimes the interesting info is the last occurrence of something in a string. let str = "long.complicated.filename.txt"; let suffixPosition = str.lastIndexOf("."); // 25 includes(str) This method just returns whether the string contains a smaller string, true or false. let str = "...
Example sample.json files include expected output strings for Media SDK GPU runtime Example readmes clarified Added missing API version check to dpcpp-blur example Added missing pkg-config support to system_analyser build Fixed AV1 temporal scaling issue in sample_multi_transcodeFeaturesC...
BioSPPy can handle multiple file formats that are commonly generated by real-time acquisition systems, such as TXT, JSON, and HDF5. This data loading function can be found in thestorage.pymodule, which also allows the users to automatically extract some of the metadata to use it in BioSPPy’...
These data structures are JSON compatible and exposed, so that advanced users and developers can reuse them easily. We designed asari with the goals of code reusability, easy deployment, easy maintainability, cloud friendliness, and scalable performance. The software is open source on GitHub and ...
(ContentHandlerBase):content_type="application/json"accepts="application/json"deftransform_input(self,prompt:str,model_kwargs:Dict)--bytes:input_str=json.dumps({prompt:prompt,**model_kwargs})returninput_str.encode('utf-8')deftransform_output(self,output:bytes)--str:re...
args = Namespace( # Data and path information surname_csv="data/surnames/surnames_with_splits.csv", vectorizer_file="vectorizer.json", model_state_file="model.pth", save_dir="model_storage/ch4/surname_mlp", # Model hyper parameters hidden_dim=300 # Training hyper parameters seed=1337, num...
def Lambda_handler(event, context):# Calculate unique hash over the incoming batch of messagesmessage_hash=hashlib.sha256(str(event['Records']).encode()).hexdigest()# Compute aggregatemessage=json.dumps(compute_aggregate(event['Records']))# Conditional put if message_hash d...