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https://github.com/hwchase17/langchain.git
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fix: correct spelling mistakes of "seperate, intialise, pre-defined" (#14647)
fix spellings **seperate -> separate**: found more occurrences, see https://github.com/langchain-ai/langchain/pull/14602 **initialise -> intialize**: the latter is more common in the repo **pre-defined > predefined**: adding a comma after a prefix is a delicate matter, but this is a generally accepted word also, another word that appears in the repo is "fs" (stands for filesystem), e.g., in `libs/core/langchain_core/prompts/loading.py` ` """Unified method for loading a prompt from LangChainHub or local fs."""` Isn't "filesystem" better?
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@@ -58,7 +58,7 @@ class GCSFileLoader(BaseLoader):
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"Please install it with `pip install google-cloud-storage`."
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)
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# Initialise a client
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# initialize a client
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storage_client = storage.Client(
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self.project_name, client_info=get_client_info("google-cloud-storage")
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)
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@@ -18,7 +18,7 @@ class BSHTMLLoader(BaseLoader):
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bs_kwargs: Union[dict, None] = None,
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get_text_separator: str = "",
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) -> None:
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"""Initialise with path, and optionally, file encoding to use, and any kwargs
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"""initialize with path, and optionally, file encoding to use, and any kwargs
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to pass to the BeautifulSoup object.
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Args:
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@@ -19,7 +19,7 @@ class MHTMLLoader(BaseLoader):
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bs_kwargs: Union[dict, None] = None,
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get_text_separator: str = "",
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) -> None:
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"""Initialise with path, and optionally, file encoding to use, and any kwargs
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"""initialize with path, and optionally, file encoding to use, and any kwargs
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to pass to the BeautifulSoup object.
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Args:
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@@ -66,7 +66,7 @@ class RSpaceLoader(BaseLoader):
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except Exception:
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raise Exception(
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f"Unable to initialise client - is url {self.url} or "
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f"Unable to initialize client - is url {self.url} or "
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f"api key correct?"
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)
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@@ -34,7 +34,7 @@ class TencentCOSFileLoader(BaseLoader):
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"Please install it with `pip install cos-python-sdk-v5`."
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)
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# Initialise a client
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# initialize a client
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client = CosS3Client(self.conf)
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with tempfile.TemporaryDirectory() as temp_dir:
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file_path = f"{temp_dir}/{self.bucket}/{self.key}"
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@@ -30,11 +30,11 @@ class EmbaasEmbeddings(BaseModel, Embeddings):
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Example:
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.. code-block:: python
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# Initialise with default model and instruction
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# initialize with default model and instruction
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from langchain_community.embeddings import EmbaasEmbeddings
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emb = EmbaasEmbeddings()
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# Initialise with custom model and instruction
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# initialize with custom model and instruction
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from langchain_community.embeddings import EmbaasEmbeddings
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emb_model = "instructor-large"
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emb_inst = "Represent the Wikipedia document for retrieval"
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@@ -36,7 +36,7 @@ class SemaDB(VectorStore):
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distance_strategy: DistanceStrategy = DistanceStrategy.EUCLIDEAN_DISTANCE,
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api_key: str = "",
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):
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"""Initialise the SemaDB vector store."""
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"""initialize the SemaDB vector store."""
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self.collection_name = collection_name
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self.vector_size = vector_size
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self.api_key = api_key or get_from_env("api_key", "SEMADB_API_KEY")
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