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feat: upgrade to lance 0.19.2-beta.3 (#1794)
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16
Cargo.toml
16
Cargo.toml
@@ -21,13 +21,15 @@ categories = ["database-implementations"]
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rust-version = "1.80.0" # TODO: lower this once we upgrade Lance again.
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[workspace.dependencies]
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lance = { "version" = "=0.19.1", "features" = ["dynamodb"] }
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lance-index = { "version" = "=0.19.1" }
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lance-linalg = { "version" = "=0.19.1" }
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lance-table = { "version" = "=0.19.1" }
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lance-testing = { "version" = "=0.19.1" }
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lance-datafusion = { "version" = "=0.19.1" }
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lance-encoding = { "version" = "=0.19.1" }
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lance = { "version" = "=0.19.2", "features" = [
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"dynamodb",
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], git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-index = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-linalg = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-table = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-testing = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-datafusion = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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lance-encoding = { "version" = "=0.19.2", git = "https://github.com/lancedb/lance.git", tag = "v0.19.2-beta.3" }
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# Note that this one does not include pyarrow
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arrow = { version = "52.2", optional = false }
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arrow-array = "52.2"
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@@ -3,7 +3,7 @@ name = "lancedb"
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# version in Cargo.toml
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dependencies = [
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"deprecation",
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"pylance==0.19.1",
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"pylance==0.19.2-beta.3",
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"requests>=2.31.0",
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"tqdm>=4.27.0",
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"pydantic>=1.10",
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@@ -11,7 +11,7 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from numpy import NaN
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from numpy import nan
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import pyarrow as pa
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from .base import Reranker
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@@ -71,7 +71,7 @@ class LinearCombinationReranker(Reranker):
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elif self.score == "all":
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results = results.append_column(
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"_distance",
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pa.array([NaN] * len(fts_results), type=pa.float32()),
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pa.array([nan] * len(fts_results), type=pa.float32()),
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)
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return results
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@@ -92,7 +92,7 @@ class LinearCombinationReranker(Reranker):
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elif self.score == "all":
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results = results.append_column(
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"_score",
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pa.array([NaN] * len(vector_results), type=pa.float32()),
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pa.array([nan] * len(vector_results), type=pa.float32()),
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)
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return results
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