code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
def handle_request(cls, request, dispatcher):
""" Handle request data.
At this moment request has correct jsonrpc format.
:param dict request: data parsed from request_str.
:param jsonrpc.dispatcher.Dispatcher dispatcher:
.. versionadded: 1.8.0
"""
rs = reques... | Handle request data.
At this moment request has correct jsonrpc format.
:param dict request: data parsed from request_str.
:param jsonrpc.dispatcher.Dispatcher dispatcher:
.. versionadded: 1.8.0
| handle_request | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/manager.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/manager.py | Apache-2.0 |
def _get_responses(cls, requests, dispatcher):
""" Response to each single JSON-RPC Request.
:return iterator(JSONRPC20Response):
.. versionadded: 1.9.0
TypeError inside the function is distinguished from Invalid Params.
"""
for request in requests:
def r... | Response to each single JSON-RPC Request.
:return iterator(JSONRPC20Response):
.. versionadded: 1.9.0
TypeError inside the function is distinguished from Invalid Params.
| _get_responses | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/manager.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/manager.py | Apache-2.0 |
def default(self, o):
""" Encode JSON.
:return str: A JSON encoded string
"""
if isinstance(o, decimal.Decimal):
return float(o)
if isinstance(o, (datetime.datetime, datetime.date)):
return o.isoformat()
return json.JSONEncoder.default(self, o) | Encode JSON.
:return str: A JSON encoded string
| default | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/utils.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/utils.py | Apache-2.0 |
def is_invalid_params(func, *args, **kwargs):
""" Check, whether function 'func' accepts parameters 'args', 'kwargs'.
NOTE: Method is called after funct(*args, **kwargs) generated TypeError,
it is aimed to destinguish TypeError because of invalid parameters from
TypeError from inside the function.
... | Check, whether function 'func' accepts parameters 'args', 'kwargs'.
NOTE: Method is called after funct(*args, **kwargs) generated TypeError,
it is aimed to destinguish TypeError because of invalid parameters from
TypeError from inside the function.
.. versionadded: 1.9.0
| is_invalid_params | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/utils.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/utils.py | Apache-2.0 |
def jsonrpc_map(self, request):
""" Map of json-rpc available calls.
:return str:
"""
result = "<h1>JSON-RPC map</h1><pre>{0}</pre>".format("\n\n".join([
"{0}: {1}".format(fname, f.__doc__)
for fname, f in self.dispatcher.items()
]))
return HttpR... | Map of json-rpc available calls.
:return str:
| jsonrpc_map | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/backend/django.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/backend/django.py | Apache-2.0 |
def __init__(self, dispatcher=None, check_content_type=True):
"""
:param dispatcher: methods dispatcher
:param check_content_type: if True - content-type must be
"application/json"
:return:
"""
self.dispatcher = dispatcher if dispatcher is not None \
... |
:param dispatcher: methods dispatcher
:param check_content_type: if True - content-type must be
"application/json"
:return:
| __init__ | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/backend/flask.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/backend/flask.py | Apache-2.0 |
def test_method_validation_str_rpc_prefix(self):
""" Test method SHOULD NOT starts with rpc. """
self.request_params.update({"method": "rpc."})
with self.assertRaises(ValueError):
JSONRPC20Request(**self.request_params)
self.request_params.update({"method": "rpc.test"})
... | Test method SHOULD NOT starts with rpc. | test_method_validation_str_rpc_prefix | python | AirtestProject/Poco | poco/utils/simplerpc/jsonrpc/tests/test_jsonrpc2.py | https://github.com/AirtestProject/Poco/blob/master/poco/utils/simplerpc/jsonrpc/tests/test_jsonrpc2.py | Apache-2.0 |
def update_attributes(self, options=None):
"Updates fast attributes and everything else outside of self.options"
if options is None:
options = self.options
self.benchmark_interval = options.get('benchmark_interval', self.benchmark_interval)
self.logger_table_font = options.g... | Updates fast attributes and everything else outside of self.options | update_attributes | python | busimus/cutelog | cutelog/config.py | https://github.com/busimus/cutelog/blob/master/cutelog/config.py | MIT |
def wait_and_read(n_bytes):
"""
Convenience function that simplifies reading and checking for stop events, etc.
Returns a byte string of length n_bytes or None if socket needs to be closed.
"""
data = b""
while len(data) < n_bytes:
... |
Convenience function that simplifies reading and checking for stop events, etc.
Returns a byte string of length n_bytes or None if socket needs to be closed.
| wait_and_read | python | busimus/cutelog | cutelog/listener.py | https://github.com/busimus/cutelog/blob/master/cutelog/listener.py | MIT |
def handle_internal_command(self, data):
"""
Used for managing listener options from non-Python clients.
Command data must start with a special prefix (see self.internal_prefix),
followed by a command in a key=value format.
Supported commands:
format - changes the se... |
Used for managing listener options from non-Python clients.
Command data must start with a special prefix (see self.internal_prefix),
followed by a command in a key=value format.
Supported commands:
format - changes the serialization format to one specified in
... | handle_internal_command | python | busimus/cutelog | cutelog/listener.py | https://github.com/busimus/cutelog/blob/master/cutelog/listener.py | MIT |
def eventFilter(self, object, event):
"""
The problem with headerView.sectionResized is that it gets called way
too much, often pointlessly or in annoying ways. So I decided that
instead I'll listen for mouse releases on the headerView and save the
whole header whenever that even... |
The problem with headerView.sectionResized is that it gets called way
too much, often pointlessly or in annoying ways. So I decided that
instead I'll listen for mouse releases on the headerView and save the
whole header whenever that event comes through the filter.
Is this the ... | eventFilter | python | busimus/cutelog | cutelog/logger_table_header.py | https://github.com/busimus/cutelog/blob/master/cutelog/logger_table_header.py | MIT |
async def get_response(
messages: str | list[str] | list[dict[str, Any]],
philosopher_id: str,
philosopher_name: str,
philosopher_perspective: str,
philosopher_style: str,
philosopher_context: str,
new_thread: bool = False,
) -> tuple[str, PhilosopherState]:
"""Run a conversation through... | Run a conversation through the workflow graph.
Args:
message: Initial message to start the conversation.
philosopher_id: Unique identifier for the philosopher.
philosopher_name: Name of the philosopher.
philosopher_perspective: Philosopher's perspective on the topic.
philoso... | get_response | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/conversation_service/generate_response.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/conversation_service/generate_response.py | MIT |
async def get_streaming_response(
messages: str | list[str] | list[dict[str, Any]],
philosopher_id: str,
philosopher_name: str,
philosopher_perspective: str,
philosopher_style: str,
philosopher_context: str,
new_thread: bool = False,
) -> AsyncGenerator[str, None]:
"""Run a conversation ... | Run a conversation through the workflow graph with streaming response.
Args:
messages: Initial message to start the conversation.
philosopher_id: Unique identifier for the philosopher.
philosopher_name: Name of the philosopher.
philosopher_perspective: Philosopher's perspective on t... | get_streaming_response | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/conversation_service/generate_response.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/conversation_service/generate_response.py | MIT |
def __format_messages(
messages: Union[str, list[dict[str, Any]]],
) -> list[Union[HumanMessage, AIMessage]]:
"""Convert various message formats to a list of LangChain message objects.
Args:
messages: Can be one of:
- A single string message
- A list of string messages
... | Convert various message formats to a list of LangChain message objects.
Args:
messages: Can be one of:
- A single string message
- A list of string messages
- A list of dictionaries with 'role' and 'content' keys
Returns:
List[Union[HumanMessage, AIMessage]]... | __format_messages | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/conversation_service/generate_response.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/conversation_service/generate_response.py | MIT |
async def reset_conversation_state() -> dict:
"""Deletes all conversation state data from MongoDB.
This function removes all stored conversation checkpoints and writes,
effectively resetting all philosopher conversations.
Returns:
dict: Status message indicating success or failure with details... | Deletes all conversation state data from MongoDB.
This function removes all stored conversation checkpoints and writes,
effectively resetting all philosopher conversations.
Returns:
dict: Status message indicating success or failure with details
about which collections were deleted
... | reset_conversation_state | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/conversation_service/reset_conversation.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/conversation_service/reset_conversation.py | MIT |
def deduplicate_documents(
documents: List[Document], threshold: float = 0.7
) -> List[Document]:
"""Remove duplicate documents from a list based on content similarity.
Uses MinHash algorithm to identify similar documents and removes duplicates
based on the specified similarity threshold.
Args:
... | Remove duplicate documents from a list based on content similarity.
Uses MinHash algorithm to identify similar documents and removes duplicates
based on the specified similarity threshold.
Args:
documents: List of documents to deduplicate.
threshold: Similarity threshold to consider docume... | deduplicate_documents | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/deduplicate_documents.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/deduplicate_documents.py | MIT |
def find_duplicates(
documents: List[Document],
threshold: float = 0.7,
num_perm: int = int(settings.RAG_CHUNK_SIZE * 0.5),
) -> List[Tuple[int, int, float]]:
"""Find duplicate documents using MinHash algorithm.
Creates MinHash signatures for each document and uses Locality Sensitive Hashing (LSH)
... | Find duplicate documents using MinHash algorithm.
Creates MinHash signatures for each document and uses Locality Sensitive Hashing (LSH)
to efficiently find similar document pairs.
Args:
documents: List of documents to check for duplicates.
threshold: Similarity threshold (0.0-1.0) to cons... | find_duplicates | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/deduplicate_documents.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/deduplicate_documents.py | MIT |
def get_extraction_generator(
philosophers: list[PhilosopherExtract],
) -> Generator[tuple[Philosopher, list[Document]], None, None]:
"""Extract documents for a list of philosophers, yielding one at a time.
Args:
philosophers: A list of PhilosopherExtract objects containing philosopher information.... | Extract documents for a list of philosophers, yielding one at a time.
Args:
philosophers: A list of PhilosopherExtract objects containing philosopher information.
Yields:
tuple[Philosopher, list[Document]]: A tuple containing the philosopher object and a list of
documents extracted... | get_extraction_generator | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/extract.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/extract.py | MIT |
def extract(philosopher: Philosopher, extract_urls: list[str]) -> list[Document]:
"""Extract documents for a single philosopher from all sources and deduplicate them.
Args:
philosopher: Philosopher object containing philosopher information.
extract_urls: List of URLs to extract content from.
... | Extract documents for a single philosopher from all sources and deduplicate them.
Args:
philosopher: Philosopher object containing philosopher information.
extract_urls: List of URLs to extract content from.
Returns:
list[Document]: List of deduplicated documents extracted for the phil... | extract | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/extract.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/extract.py | MIT |
def extract_wikipedia(philosopher: Philosopher) -> list[Document]:
"""Extract documents for a single philosopher from Wikipedia.
Args:
philosopher: Philosopher object containing philosopher information.
Returns:
list[Document]: List of documents extracted from Wikipedia for the philosopher... | Extract documents for a single philosopher from Wikipedia.
Args:
philosopher: Philosopher object containing philosopher information.
Returns:
list[Document]: List of documents extracted from Wikipedia for the philosopher.
| extract_wikipedia | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/extract.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/extract.py | MIT |
def extract_stanford_encyclopedia_of_philosophy(
philosopher: Philosopher, urls: list[str]
) -> list[Document]:
"""Extract documents for a single philosopher from Stanford Encyclopedia of Philosophy.
Args:
philosopher: Philosopher object containing philosopher information.
urls: List of URL... | Extract documents for a single philosopher from Stanford Encyclopedia of Philosophy.
Args:
philosopher: Philosopher object containing philosopher information.
urls: List of URLs to extract content from.
Returns:
list[Document]: List of documents extracted from Stanford Encyclopedia for... | extract_stanford_encyclopedia_of_philosophy | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/data/extract.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/data/extract.py | MIT |
async def evaluation_task(x: dict) -> dict:
"""Calls agentic app logic to evaluate philosopher responses.
Args:
x: Dictionary containing evaluation data with the following keys:
messages: List of conversation messages where all but the last are inputs
and the last is the exp... | Calls agentic app logic to evaluate philosopher responses.
Args:
x: Dictionary containing evaluation data with the following keys:
messages: List of conversation messages where all but the last are inputs
and the last is the expected output
philosopher_id: ID of the ... | evaluation_task | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/evaluation/evaluate.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/evaluation/evaluate.py | MIT |
def evaluate_agent(
dataset: opik.Dataset | None,
workers: int = 2,
nb_samples: int | None = None,
) -> None:
"""Evaluates an agent using specified metrics and dataset.
Runs evaluation using Opik framework with configured metrics for hallucination,
answer relevance, moderation, and context reca... | Evaluates an agent using specified metrics and dataset.
Runs evaluation using Opik framework with configured metrics for hallucination,
answer relevance, moderation, and context recall.
Args:
dataset: Dataset containing evaluation examples.
Must contain messages and philosopher_id.
... | evaluate_agent | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/evaluation/evaluate.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/evaluation/evaluate.py | MIT |
def get_embedding_model(
model_id: str,
device: str = "cpu",
) -> EmbeddingsModel:
"""Gets an instance of a HuggingFace embedding model.
Args:
model_id (str): The ID/name of the HuggingFace embedding model to use
device (str): The compute device to run the model on (e.g. "cpu", "cuda").... | Gets an instance of a HuggingFace embedding model.
Args:
model_id (str): The ID/name of the HuggingFace embedding model to use
device (str): The compute device to run the model on (e.g. "cpu", "cuda").
Defaults to "cpu"
Returns:
EmbeddingsModel: A configured HuggingFace emb... | get_embedding_model | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/rag/embeddings.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/rag/embeddings.py | MIT |
def get_huggingface_embedding_model(
model_id: str, device: str
) -> HuggingFaceEmbeddings:
"""Gets a HuggingFace embedding model instance.
Args:
model_id (str): The ID/name of the HuggingFace embedding model to use
device (str): The compute device to run the model on (e.g. "cpu", "cuda")
... | Gets a HuggingFace embedding model instance.
Args:
model_id (str): The ID/name of the HuggingFace embedding model to use
device (str): The compute device to run the model on (e.g. "cpu", "cuda")
Returns:
HuggingFaceEmbeddings: A configured HuggingFace embeddings model instance
... | get_huggingface_embedding_model | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/rag/embeddings.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/rag/embeddings.py | MIT |
def get_retriever(
embedding_model_id: str,
k: int = 3,
device: str = "cpu",
) -> Retriever:
"""Creates and returns a hybrid search retriever with the specified embedding model.
Args:
embedding_model_id (str): The identifier for the embedding model to use.
k (int, optional): Number ... | Creates and returns a hybrid search retriever with the specified embedding model.
Args:
embedding_model_id (str): The identifier for the embedding model to use.
k (int, optional): Number of documents to retrieve. Defaults to 3.
device (str, optional): Device to run the embedding model on. D... | get_retriever | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/rag/retrievers.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/rag/retrievers.py | MIT |
def get_hybrid_search_retriever(
embedding_model: HuggingFaceEmbeddings, k: int
) -> MongoDBAtlasHybridSearchRetriever:
"""Creates a MongoDB Atlas hybrid search retriever with the given embedding model.
Args:
embedding_model (HuggingFaceEmbeddings): The embedding model to use for vector search.
... | Creates a MongoDB Atlas hybrid search retriever with the given embedding model.
Args:
embedding_model (HuggingFaceEmbeddings): The embedding model to use for vector search.
k (int): Number of documents to retrieve.
Returns:
MongoDBAtlasHybridSearchRetriever: A configured hybrid search ... | get_hybrid_search_retriever | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/rag/retrievers.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/rag/retrievers.py | MIT |
def get_splitter(chunk_size: int) -> Splitter:
"""Returns a token-based text splitter with overlap.
Args:
chunk_size: Number of tokens for each text chunk.
Returns:
Splitter: A configured text splitter instance that
splits text into overlapping chunks based on token count.
... | Returns a token-based text splitter with overlap.
Args:
chunk_size: Number of tokens for each text chunk.
Returns:
Splitter: A configured text splitter instance that
splits text into overlapping chunks based on token count.
| get_splitter | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/application/rag/splitters.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/application/rag/splitters.py | MIT |
def save_to_json(self, file_path: Path) -> None:
"""Saves the evaluation dataset to a JSON file.
Args:
file_path: The path where the JSON file will be saved.
Returns:
None
Raises:
IOError: If there's an error writing to the file.
"""
... | Saves the evaluation dataset to a JSON file.
Args:
file_path: The path where the JSON file will be saved.
Returns:
None
Raises:
IOError: If there's an error writing to the file.
| save_to_json | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/domain/evaluation.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/domain/evaluation.py | MIT |
def get_philosopher(id: str) -> Philosopher:
"""Creates a philosopher instance based on the provided ID.
Args:
id (str): Identifier of the philosopher to create
Returns:
Philosopher: Instance of the philosopher
Raises:
ValueError: If philosopher ID ... | Creates a philosopher instance based on the provided ID.
Args:
id (str): Identifier of the philosopher to create
Returns:
Philosopher: Instance of the philosopher
Raises:
ValueError: If philosopher ID is not found in configurations
| get_philosopher | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/domain/philosopher_factory.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/domain/philosopher_factory.py | MIT |
async def lifespan(app: FastAPI):
"""Handles startup and shutdown events for the API."""
# Startup code (if any) goes here
yield
# Shutdown code goes here
opik_tracer = OpikTracer()
opik_tracer.flush() | Handles startup and shutdown events for the API. | lifespan | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/api.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/api.py | MIT |
async def reset_conversation():
"""Resets the conversation state. It deletes the two collections needed for keeping LangGraph state in MongoDB.
Raises:
HTTPException: If there is an error resetting the conversation state.
Returns:
dict: A dictionary containing the result of the reset operat... | Resets the conversation state. It deletes the two collections needed for keeping LangGraph state in MongoDB.
Raises:
HTTPException: If there is an error resetting the conversation state.
Returns:
dict: A dictionary containing the result of the reset operation.
| reset_conversation | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/api.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/api.py | MIT |
def __init__(
self,
model: Type[T],
collection_name: str,
database_name: str = settings.MONGO_DB_NAME,
mongodb_uri: str = settings.MONGO_URI,
) -> None:
"""Initialize a connection to the MongoDB collection.
Args:
model (Type[T]): The Pydantic mode... | Initialize a connection to the MongoDB collection.
Args:
model (Type[T]): The Pydantic model class to use for document serialization.
collection_name (str): Name of the MongoDB collection to use.
database_name (str, optional): Name of the MongoDB database to use.
... | __init__ | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def clear_collection(self) -> None:
"""Remove all documents from the collection.
This method deletes all documents in the collection to avoid duplicates
during reingestion.
Raises:
errors.PyMongoError: If the deletion operation fails.
"""
try:
r... | Remove all documents from the collection.
This method deletes all documents in the collection to avoid duplicates
during reingestion.
Raises:
errors.PyMongoError: If the deletion operation fails.
| clear_collection | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def ingest_documents(self, documents: list[T]) -> None:
"""Insert multiple documents into the MongoDB collection.
Args:
documents: List of Pydantic model instances to insert.
Raises:
ValueError: If documents is empty or contains non-Pydantic model items.
err... | Insert multiple documents into the MongoDB collection.
Args:
documents: List of Pydantic model instances to insert.
Raises:
ValueError: If documents is empty or contains non-Pydantic model items.
errors.PyMongoError: If the insertion operation fails.
| ingest_documents | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def __parse_documents(self, documents: list[dict]) -> list[T]:
"""Convert MongoDB documents to Pydantic model instances.
Converts MongoDB ObjectId fields to strings and transforms the document structure
to match the Pydantic model schema.
Args:
documents (list[dict]): List ... | Convert MongoDB documents to Pydantic model instances.
Converts MongoDB ObjectId fields to strings and transforms the document structure
to match the Pydantic model schema.
Args:
documents (list[dict]): List of MongoDB documents to parse.
Returns:
list[T]: List... | __parse_documents | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def get_collection_count(self) -> int:
"""Count the total number of documents in the collection.
Returns:
Total number of documents in the collection.
Raises:
errors.PyMongoError: If the count operation fails.
"""
try:
return self.collection... | Count the total number of documents in the collection.
Returns:
Total number of documents in the collection.
Raises:
errors.PyMongoError: If the count operation fails.
| get_collection_count | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def close(self) -> None:
"""Close the MongoDB connection.
This method should be called when the service is no longer needed
to properly release resources, unless using the context manager.
"""
self.client.close()
logger.debug("Closed MongoDB connection.") | Close the MongoDB connection.
This method should be called when the service is no longer needed
to properly release resources, unless using the context manager.
| close | python | neural-maze/philoagents-course | philoagents-api/src/philoagents/infrastructure/mongo/client.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/src/philoagents/infrastructure/mongo/client.py | MIT |
def async_command(f):
"""Decorator to run an async click command."""
@wraps(f)
def wrapper(*args, **kwargs):
return asyncio.run(f(*args, **kwargs))
return wrapper | Decorator to run an async click command. | async_command | python | neural-maze/philoagents-course | philoagents-api/tools/call_agent.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/call_agent.py | MIT |
async def main(philosopher_id: str, query: str) -> None:
"""CLI command to query a philosopher.
Args:
philosopher_id: ID of the philosopher to call.
query: Query to call the agent with.
"""
philosopher_factory = PhilosopherFactory()
philosopher = philosopher_factory.get_philosopher... | CLI command to query a philosopher.
Args:
philosopher_id: ID of the philosopher to call.
query: Query to call the agent with.
| main | python | neural-maze/philoagents-course | philoagents-api/tools/call_agent.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/call_agent.py | MIT |
def main(metadata_file: Path) -> None:
"""CLI command to create long-term memory for philosophers.
Args:
metadata_file: Path to the philosophers extraction metadata JSON file.
"""
philosophers = PhilosopherExtract.from_json(metadata_file)
long_term_memory_creator = LongTermMemoryCreator.bu... | CLI command to create long-term memory for philosophers.
Args:
metadata_file: Path to the philosophers extraction metadata JSON file.
| main | python | neural-maze/philoagents-course | philoagents-api/tools/create_long_term_memory.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/create_long_term_memory.py | MIT |
def main(collection_name: str, mongo_uri: str, db_name: str) -> None:
"""Command line interface to delete a MongoDB collection.
Args:
collection_name: Name of the collection to delete.
mongo_uri: The MongoDB connection URI string.
db_name: The name of the database containing the collect... | Command line interface to delete a MongoDB collection.
Args:
collection_name: Name of the collection to delete.
mongo_uri: The MongoDB connection URI string.
db_name: The name of the database containing the collection.
| main | python | neural-maze/philoagents-course | philoagents-api/tools/delete_long_term_memory.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/delete_long_term_memory.py | MIT |
def main(name: str, data_path: Path, workers: int, nb_samples: int) -> None:
"""
Evaluate an agent on a dataset.
Args:
name: Name of the dataset
data_path: Path to the dataset file
workers: Number of workers to use for evaluation
nb_samples: Number of samples to evaluate
... |
Evaluate an agent on a dataset.
Args:
name: Name of the dataset
data_path: Path to the dataset file
workers: Number of workers to use for evaluation
nb_samples: Number of samples to evaluate
| main | python | neural-maze/philoagents-course | philoagents-api/tools/evaluate_agent.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/evaluate_agent.py | MIT |
def main(metadata_file: Path, temperature: float, max_samples: int) -> None:
"""
Generate an evaluation dataset from philosopher extracts.
Args:
metadata_file: Path to the metadata file containing philosopher extracts
temperature: Temperature parameter for generation
max_samples: Ma... |
Generate an evaluation dataset from philosopher extracts.
Args:
metadata_file: Path to the metadata file containing philosopher extracts
temperature: Temperature parameter for generation
max_samples: Maximum number of samples to generate
| main | python | neural-maze/philoagents-course | philoagents-api/tools/generate_evaluation_dataset.py | https://github.com/neural-maze/philoagents-course/blob/master/philoagents-api/tools/generate_evaluation_dataset.py | MIT |
def from_dict(
cls: Type[BaseT],
dict_: Mapping,
strict: bool = False,
cast: bool = False,
) -> BaseT:
"""Return an instance constructed from a dictionary.
Instantiate an object whose attributes and the corresponding
values are given as a dictionary.
... | Return an instance constructed from a dictionary.
Instantiate an object whose attributes and the corresponding
values are given as a dictionary.
Parameters
----------
dict_ : dict or mapping
A dictionary that stores the attributes and their values as
key... | from_dict | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def to_ordered_dict(
self, skip_missing: bool = True, deepcopy: bool = True
) -> OrderedDict:
"""Return the object as an OrderedDict.
Return an ordered dictionary that stores the attributes and
their values as key-value pairs.
Parameters
----------
skip_miss... | Return the object as an OrderedDict.
Return an ordered dictionary that stores the attributes and
their values as key-value pairs.
Parameters
----------
skip_missing : bool, default: True
Whether to skip attributes with value None or those that are
empty ... | to_ordered_dict | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def pretty_str(self, skip_missing: bool = True) -> str:
"""Return the attributes as a string in a YAML-like format.
Parameters
----------
skip_missing : bool, default: True
Whether to skip attributes with value None or those that are
empty lists.
Returns... | Return the attributes as a string in a YAML-like format.
Parameters
----------
skip_missing : bool, default: True
Whether to skip attributes with value None or those that are
empty lists.
Returns
-------
str
Stored data as a string in... | pretty_str | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def validate_type(
self: BaseT, attr: str = None, recursive: bool = True
) -> BaseT:
"""Raise an error if an attribute is of an invalid type.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute t... | Raise an error if an attribute is of an invalid type.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recursive : bool, default: True
Whether... | validate_type | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def validate(
self: BaseT, attr: str = None, recursive: bool = True
) -> BaseT:
"""Raise an error if an attribute has an invalid type or value.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute... | Raise an error if an attribute has an invalid type or value.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recursive : bool, default: True
... | validate | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def is_valid_type(self, attr: str = None, recursive: bool = True) -> bool:
"""Return True if an attribute is of a valid type.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to vali... | Return True if an attribute is of a valid type.
This will apply recursively to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recursive : bool, default: True
Whether to ap... | is_valid_type | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def is_valid(self, attr: str = None, recursive: bool = True) -> bool:
"""Return True if an attribute has a valid type and value.
This will recursively apply to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to v... | Return True if an attribute has a valid type and value.
This will recursively apply to an attribute's attributes.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recursive : bool, default: True
Wheth... | is_valid | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def adjust_time(
self: BaseT,
func: Callable[[int], int],
attr: str = None,
recursive: bool = True,
) -> BaseT:
"""Adjust the timing of time-stamped objects.
Parameters
----------
func : callable
The function used to compute the new timing... | Adjust the timing of time-stamped objects.
Parameters
----------
func : callable
The function used to compute the new timing from the old
timing, i.e., `new_time = func(old_time)`.
attr : str, optional
Attribute to adjust. Defaults to adjust all attri... | adjust_time | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def fix_type(
self: BaseT, attr: str = None, recursive: bool = True
) -> BaseT:
"""Fix the types of attributes.
Parameters
----------
attr : str, optional
Attribute to adjust. Defaults to adjust all attributes.
recursive : bool, default: True
... | Fix the types of attributes.
Parameters
----------
attr : str, optional
Attribute to adjust. Defaults to adjust all attributes.
recursive : bool, default: True
Whether to apply recursively.
Returns
-------
Object itself.
| fix_type | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def extend(
self: ComplexBaseT,
other: Union[ComplexBaseT, Iterable],
deepcopy: bool = False,
) -> ComplexBaseT:
"""Extend the list(s) with another object or iterable.
Parameters
----------
other : :class:`muspy.ComplexBase` or iterable
If an obje... | Extend the list(s) with another object or iterable.
Parameters
----------
other : :class:`muspy.ComplexBase` or iterable
If an object of the same type is given, extend the
list attributes with the corresponding list attributes of
the other object. If an itera... | extend | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def remove_invalid(
self: ComplexBaseT, attr: str = None, recursive: bool = True
) -> ComplexBaseT:
"""Remove invalid items from a list attribute.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recur... | Remove invalid items from a list attribute.
Parameters
----------
attr : str, optional
Attribute to validate. Defaults to validate all attributes.
recursive : bool, default: True
Whether to apply recursively.
Returns
-------
Object itself... | remove_invalid | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def remove_duplicate(
self: ComplexBaseT, attr: str = None, recursive: bool = True
) -> ComplexBaseT:
"""Remove duplicate items from a list attribute.
Parameters
----------
attr : str, optional
Attribute to check. Defaults to check all attributes.
recursi... | Remove duplicate items from a list attribute.
Parameters
----------
attr : str, optional
Attribute to check. Defaults to check all attributes.
recursive : bool, default: True
Whether to apply recursively.
Returns
-------
Object itself.
... | remove_duplicate | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def sort(
self: ComplexBaseT, attr: str = None, recursive: bool = True
) -> ComplexBaseT:
"""Sort a list attribute.
Parameters
----------
attr : str, optional
Attribute to sort. Defaults to sort all attributes.
recursive : bool, default: True
... | Sort a list attribute.
Parameters
----------
attr : str, optional
Attribute to sort. Defaults to sort all attributes.
recursive : bool, default: True
Whether to apply recursively.
Returns
-------
Object itself.
| sort | python | salu133445/muspy | muspy/base.py | https://github.com/salu133445/muspy/blob/master/muspy/base.py | MIT |
def get_end_time(list_: List, is_sorted: bool = False, attr: str = "time"):
"""Return the end time of a list of objects.
Parameters
----------
list_ : list
List of objects.
is_sorted : bool, default: False
Whether the list is sorted.
attr : str, default: 'time'
Attribute... | Return the end time of a list of objects.
Parameters
----------
list_ : list
List of objects.
is_sorted : bool, default: False
Whether the list is sorted.
attr : str, default: 'time'
Attribute to look for.
| get_end_time | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def adjust_time(
self: NoteT,
func: Callable[[int], int],
attr: str = None,
recursive: bool = True,
) -> NoteT:
"""Adjust the timing of the note.
Parameters
----------
func : callable
The function used to compute the new timing from the ol... | Adjust the timing of the note.
Parameters
----------
func : callable
The function used to compute the new timing from the old
timing, i.e., `new_time = func(old_time)`.
attr : str, optional
Attribute to adjust. Defaults to adjust all attributes.
... | adjust_time | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def clip(self: NoteT, lower: int = 0, upper: int = 127) -> NoteT:
"""Clip the velocity of the note.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself.
... | Clip the velocity of the note.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself.
| clip | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def adjust_time(
self: ChordT,
func: Callable[[int], int],
attr: str = None,
recursive: bool = True,
) -> ChordT:
"""Adjust the timing of the chord.
Parameters
----------
func : callable
The function used to compute the new timing from the... | Adjust the timing of the chord.
Parameters
----------
func : callable
The function used to compute the new timing from the old
timing, i.e., `new_time = func(old_time)`.
attr : str, optional
Attribute to adjust. Defaults to adjust all attributes.
... | adjust_time | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def clip(self: ChordT, lower: int = 0, upper: int = 127) -> ChordT:
"""Clip the velocity of the chord.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself... | Clip the velocity of the chord.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself.
| clip | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def get_end_time(self, is_sorted: bool = False) -> int:
"""Return the time of the last event.
This includes notes, chords, lyrics and annotations.
Parameters
----------
is_sorted : bool, default: False
Whether all the list attributes are sorted.
"""
... | Return the time of the last event.
This includes notes, chords, lyrics and annotations.
Parameters
----------
is_sorted : bool, default: False
Whether all the list attributes are sorted.
| get_end_time | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def clip(self: TrackT, lower: int = 0, upper: int = 127) -> TrackT:
"""Clip the velocity of each note.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself... | Clip the velocity of each note.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself.
| clip | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def trim(self: TrackT, end: int) -> TrackT:
"""Trim the track.
Parameters
----------
end : int
End time, excluding (i.e, the max time will be `end` - 1).
Returns
-------
Object itself.
"""
self.notes = _trim_list(self.notes, end)
... | Trim the track.
Parameters
----------
end : int
End time, excluding (i.e, the max time will be `end` - 1).
Returns
-------
Object itself.
| trim | python | salu133445/muspy | muspy/classes.py | https://github.com/salu133445/muspy/blob/master/muspy/classes.py | MIT |
def adjust_resolution(
music: MusicT,
target: int = None,
factor: float = None,
rounding: Union[str, Callable] = "round",
) -> MusicT:
"""Adjust resolution and timing of all time-stamped objects.
Parameters
----------
music : :class:`muspy.Music`
Object to adjust the resolution.... | Adjust resolution and timing of all time-stamped objects.
Parameters
----------
music : :class:`muspy.Music`
Object to adjust the resolution.
target : int, optional
Target resolution.
factor : int or float, optional
Factor used to adjust the resolution based on the formula:
... | adjust_resolution | python | salu133445/muspy | muspy/core.py | https://github.com/salu133445/muspy/blob/master/muspy/core.py | MIT |
def extend(
obj1: ComplexBaseT, obj2, deepcopy: bool = False
) -> ComplexBaseT:
"""Extend the list(s) with another object or iterable.
Parameters
----------
obj1 : :class:`muspy.ComplexBase`
Object to extend.
obj2
If an object of the same type as `obj1` is given, extend the
... | Extend the list(s) with another object or iterable.
Parameters
----------
obj1 : :class:`muspy.ComplexBase`
Object to extend.
obj2
If an object of the same type as `obj1` is given, extend the
list attributes with the corresponding list attributes of
`obj2`. If an iterabl... | extend | python | salu133445/muspy | muspy/core.py | https://github.com/salu133445/muspy/blob/master/muspy/core.py | MIT |
def clip(
obj: MusicTrackNoteT, lower: int = 0, upper: int = 127
) -> MusicTrackNoteT:
"""Clip the velocity of each note.
Parameters
----------
obj : :class:`muspy.Music`, :class:`muspy.Track` or \
:class:`muspy.Note`
Object to clip.
lower : int or float, default: 0
... | Clip the velocity of each note.
Parameters
----------
obj : :class:`muspy.Music`, :class:`muspy.Track` or :class:`muspy.Note`
Object to clip.
lower : int or float, default: 0
Lower bound.
upper : int or float, default: 127
Upper bound.
| clip | python | salu133445/muspy | muspy/core.py | https://github.com/salu133445/muspy/blob/master/muspy/core.py | MIT |
def to_ordered_dict(
obj: Base, skip_missing: bool = True, deepcopy: bool = True
) -> OrderedDict:
"""Return an OrderedDict converted from a Music object.
Parameters
----------
obj : :class:`muspy.Base`
Object to convert.
skip_missing : bool, default: True
Whether to skip attrib... | Return an OrderedDict converted from a Music object.
Parameters
----------
obj : :class:`muspy.Base`
Object to convert.
skip_missing : bool, default: True
Whether to skip attributes with value None or those that are
empty lists.
deepcopy : bool, default: True
Whether... | to_ordered_dict | python | salu133445/muspy | muspy/core.py | https://github.com/salu133445/muspy/blob/master/muspy/core.py | MIT |
def download_bravura_font(overwrite: bool = False):
"""Download the Bravura font.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite an existing file.
"""
if not overwrite and get_bravura_font_path().is_file():
print("Skip downloading as the Bravura fon... | Download the Bravura font.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite an existing file.
| download_bravura_font | python | salu133445/muspy | muspy/external.py | https://github.com/salu133445/muspy/blob/master/muspy/external.py | MIT |
def download_musescore_soundfont(overwrite: bool = False):
"""Download the MuseScore General soundfont.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite an existing file.
"""
if not overwrite and get_musescore_soundfont_path().is_file():
print("Skip d... | Download the MuseScore General soundfont.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite an existing file.
| download_musescore_soundfont | python | salu133445/muspy | muspy/external.py | https://github.com/salu133445/muspy/blob/master/muspy/external.py | MIT |
def get_end_time(self, is_sorted: bool = False) -> int:
"""Return the time of the last event across all the tracks.
This includes tempos, key signatures, time signatures, barlines,
beats, lyrics, annotations, note offsets and chord offsets.
Parameters
----------
is_sort... | Return the time of the last event across all the tracks.
This includes tempos, key signatures, time signatures, barlines,
beats, lyrics, annotations, note offsets and chord offsets.
Parameters
----------
is_sorted : bool, default: False
Whether all the list attribut... | get_end_time | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def get_real_end_time(self, is_sorted: bool = False) -> float:
"""Return the end time in realtime.
This includes tempos, key signatures, time signatures, note
offsets, lyrics and annotations. Assume 120 qpm (quarter notes
per minute) if no tempo information is available.
Parame... | Return the end time in realtime.
This includes tempos, key signatures, time signatures, note
offsets, lyrics and annotations. Assume 120 qpm (quarter notes
per minute) if no tempo information is available.
Parameters
----------
is_sorted : bool, default: False
... | get_real_end_time | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def infer_barlines(self: MusicT, overwrite: bool = False) -> MusicT:
"""Infer barlines from the time signatures.
This assumes that there is a barline at each time signature
change.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite e... | Infer barlines from the time signatures.
This assumes that there is a barline at each time signature
change.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite existing barlines.
Returns
-------
Object itself.
... | infer_barlines | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def infer_barlines_and_beats(
self: MusicT, overwrite: bool = False
) -> MusicT:
"""Infer barlines and beats from the time signature changes.
This assumes that there is a downbeat at each time signature
change (this is not always true, e.g., for a pickup measure).
Return an ... | Infer barlines and beats from the time signature changes.
This assumes that there is a downbeat at each time signature
change (this is not always true, e.g., for a pickup measure).
Return an empty list if no time signature is found.
Parameters
----------
overwrite : boo... | infer_barlines_and_beats | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def adjust_resolution(
self: MusicT,
target: int = None,
factor: float = None,
rounding: Union[str, Callable] = "round",
) -> MusicT:
"""Adjust resolution and timing of all time-stamped objects.
Parameters
----------
target : int, optional
... | Adjust resolution and timing of all time-stamped objects.
Parameters
----------
target : int, optional
Target resolution.
factor : int or float, optional
Factor used to adjust the resolution based on the formula:
`new_resolution = old_resolution * fac... | adjust_resolution | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def clip(self: MusicT, lower: int = 0, upper: int = 127) -> MusicT:
"""Clip the velocity of each note for each track.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
... | Clip the velocity of each note for each track.
Parameters
----------
lower : int, default: 0
Lower bound.
upper : int, default: 127
Upper bound.
Returns
-------
Object itself.
| clip | python | salu133445/muspy | muspy/music.py | https://github.com/salu133445/muspy/blob/master/muspy/music.py | MIT |
def encode(self, music: Music) -> ndarray:
"""Encode a Music object into note-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in note... | Encode a Music object into note-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in note-based representation.
See Also
-----... | encode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def decode(self, array: ndarray) -> Music:
"""Decode note-based representation into a Music object.
Parameters
----------
array : ndarray
Array in note-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
... | Decode note-based representation into a Music object.
Parameters
----------
array : ndarray
Array in note-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
:class:`muspy.Music` object
Decoded Musi... | decode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def encode(self, music: Music) -> ndarray:
"""Encode a Music object into event-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint16)
Encoded array in ev... | Encode a Music object into event-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint16)
Encoded array in event-based representation.
See Also
--... | encode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def decode(self, array: ndarray) -> Music:
"""Decode event-based representation into a Music object.
Parameters
----------
array : ndarray
Array in event-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
... | Decode event-based representation into a Music object.
Parameters
----------
array : ndarray
Array in event-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
:class:`muspy.Music` object
Decoded Mu... | decode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def encode(self, music: Music) -> ndarray:
"""Encode a Music object into pitch-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in pit... | Encode a Music object into pitch-based representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in pitch-based representation.
See Also
---... | encode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def decode(self, array: ndarray) -> Music:
"""Decode pitch-based representation into a Music object.
Parameters
----------
array : ndarray
Array in pitch-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
... | Decode pitch-based representation into a Music object.
Parameters
----------
array : ndarray
Array in pitch-based representation to decode. Cast to
integer if not of integer type.
Returns
-------
:class:`muspy.Music` object
Decoded Mu... | decode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def encode(self, music: Music) -> ndarray:
"""Encode a Music object into piano-roll representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in pian... | Encode a Music object into piano-roll representation.
Parameters
----------
music : :class:`muspy.Music` object
Music object to encode.
Returns
-------
ndarray (np.uint8)
Encoded array in piano-roll representation.
See Also
-----... | encode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def decode(self, array: ndarray) -> Music:
"""Decode piano-roll representation into a Music object.
Parameters
----------
array : ndarray
Array in piano-roll representation to decode. Cast to
integer if not of integer type. If `encode_velocity` is
Tru... | Decode piano-roll representation into a Music object.
Parameters
----------
array : ndarray
Array in piano-roll representation to decode. Cast to
integer if not of integer type. If `encode_velocity` is
True, casted to boolean if not of boolean type.
... | decode | python | salu133445/muspy | muspy/processors.py | https://github.com/salu133445/muspy/blob/master/muspy/processors.py | MIT |
def note_str_to_note_num(note_str: str):
"""Return the note number of a note string.
The regular expression for the note string is `[A-G][#b]*`. The base
note must be capitalized. There can be multiple accidentals, where
'#' denotes a sharp and 'b' denotes a flat. Some examples include
'C'->0, 'D#'... | Return the note number of a note string.
The regular expression for the note string is `[A-G][#b]*`. The base
note must be capitalized. There can be multiple accidentals, where
'#' denotes a sharp and 'b' denotes a flat. Some examples include
'C'->0, 'D#'->3, 'Eb'->3.
Parameters
----------
... | note_str_to_note_num | python | salu133445/muspy | muspy/utils.py | https://github.com/salu133445/muspy/blob/master/muspy/utils.py | MIT |
def yaml_dump(
data, Dumper=None, allow_unicode: bool = True, **kwargs
): # pylint: disable=invalid-name
"""Dump data to YAML, which supports OrderedDict.
Code adapted from https://stackoverflow.com/a/21912744.
"""
if Dumper is None:
Dumper = OrderedDumper
return yaml.dump(
dat... | Dump data to YAML, which supports OrderedDict.
Code adapted from https://stackoverflow.com/a/21912744.
| yaml_dump | python | salu133445/muspy | muspy/utils.py | https://github.com/salu133445/muspy/blob/master/muspy/utils.py | MIT |
def save(
self,
root: Union[str, Path],
kind: str = "json",
n_jobs: int = 1,
ignore_exceptions: bool = True,
verbose: bool = True,
**kwargs,
):
"""Save all the music objects to a directory.
Parameters
----------
root : str or P... | Save all the music objects to a directory.
Parameters
----------
root : str or Path
Root directory to save the data.
kind : {'json', 'yaml'}, default: 'json'
File format to save the data.
n_jobs : int, default: 1
Maximum number of concurrently... | save | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def split(
self,
filename: Union[str, Path] = None,
splits: Sequence[float] = None,
random_state: Any = None,
) -> Dict[str, List[int]]:
"""Return the dataset as a PyTorch dataset.
Parameters
----------
filename : str or Path, optional
If ... | Return the dataset as a PyTorch dataset.
Parameters
----------
filename : str or Path, optional
If given and exists, path to the file to read the split
from. If None or not exists, path to save the split.
splits : float or list of float, optional
Rati... | split | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def to_pytorch_dataset(
self,
factory: Callable = None,
representation: str = None,
split_filename: Union[str, Path] = None,
splits: Sequence[float] = None,
random_state: Any = None,
**kwargs: Any,
) -> Union["TorchDataset", Dict[str, "TorchDataset"]]:
... | Return the dataset as a PyTorch dataset.
Parameters
----------
factory : Callable, optional
Function to be applied to the Music objects. The input is a
Music object, and the output is an array or a tensor.
representation : str, optional
Target represe... | to_pytorch_dataset | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def to_tensorflow_dataset(
self,
factory: Callable = None,
representation: str = None,
split_filename: Union[str, Path] = None,
splits: Sequence[float] = None,
random_state: Any = None,
**kwargs: Any,
) -> Union["TFDataset", Dict[str, "TFDataset"]]:
""... | Return the dataset as a TensorFlow dataset.
Parameters
----------
factory : Callable, optional
Function to be applied to the Music objects. The input is a
Music object, and the output is an array or a tensor.
representation : str, optional
Target repr... | to_tensorflow_dataset | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def exists(self) -> bool:
"""Return True if the dataset exists, otherwise False."""
if not (self.root / ".muspy.success").is_file():
return False
return True | Return True if the dataset exists, otherwise False. | exists | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def source_exists(self) -> bool:
"""Return True if all the sources exist, otherwise False."""
for source in self._sources.values():
filename = self.root / source["filename"]
if not filename.is_file():
return False
if "size" in source and not check_size... | Return True if all the sources exist, otherwise False. | source_exists | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def download(
self: RemoteDatasetT, overwrite: bool = False, verbose: bool = True
) -> RemoteDatasetT:
"""Download the dataset source(s).
Parameters
----------
overwrite : bool, default: False
Whether to overwrite existing file(s).
verbose : bool, default... | Download the dataset source(s).
Parameters
----------
overwrite : bool, default: False
Whether to overwrite existing file(s).
verbose : bool, default: True
Whether to be verbose.
Returns
-------
Object itself.
| download | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def extract(
self: RemoteDatasetT, cleanup: bool = False, verbose: bool = True
) -> RemoteDatasetT:
"""Extract the downloaded archive(s).
Parameters
----------
cleanup : bool, default: False
Whether to remove the source archive after extraction.
verbose :... | Extract the downloaded archive(s).
Parameters
----------
cleanup : bool, default: False
Whether to remove the source archive after extraction.
verbose : bool, default: True
Whether to be verbose.
Returns
-------
Object itself.
| extract | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def download_and_extract(
self: RemoteDatasetT,
overwrite: bool = False,
cleanup: bool = False,
verbose: bool = True,
) -> RemoteDatasetT:
"""Download source datasets and extract the downloaded archives.
Parameters
----------
overwrite : bool, default... | Download source datasets and extract the downloaded archives.
Parameters
----------
overwrite : bool, default: False
Whether to overwrite existing file(s).
cleanup : bool, default: False
Whether to remove the source archive(s).
verbose : bool, default: Tr... | download_and_extract | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def converted_exists(self) -> bool:
"""Return True if the saved dataset exists, otherwise False."""
if not (self.converted_dir / ".muspy.success").is_file():
return False
return True | Return True if the saved dataset exists, otherwise False. | converted_exists | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def use_converted(self: FolderDatasetT) -> FolderDatasetT:
"""Disable on-the-fly mode and use converted data.
Returns
-------
Object itself.
"""
if not self.converted_exists():
raise RuntimeError(
"Converted data not found. Run `convert()` to... | Disable on-the-fly mode and use converted data.
Returns
-------
Object itself.
| use_converted | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def on_the_fly(self: FolderDatasetT) -> FolderDatasetT:
"""Enable on-the-fly mode and convert the data on the fly.
Returns
-------
Object itself.
"""
if not self.raw_filenames:
self.raw_filenames = self.get_raw_filenames()
self._filenames = self.raw_... | Enable on-the-fly mode and convert the data on the fly.
Returns
-------
Object itself.
| on_the_fly | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
def convert(
self: FolderDatasetT,
kind: str = "json",
n_jobs: int = 1,
ignore_exceptions: bool = True,
verbose: bool = True,
**kwargs,
) -> FolderDatasetT:
"""Convert and save the Music objects.
The converted files will be named by its index and save... | Convert and save the Music objects.
The converted files will be named by its index and saved to
``root/_converted``. The original filenames can be found in the
``filenames`` attribute. For example, the file at
``filenames[i]`` will be converted and saved to ``{i}.json``.
Parame... | convert | python | salu133445/muspy | muspy/datasets/base.py | https://github.com/salu133445/muspy/blob/master/muspy/datasets/base.py | MIT |
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