Using rs-0.34 and git hashes (#141)

* RS changes for 0.34.2

* Fixing tests

* Fixing tests

* Fixing tests

* Upgrading biome

* Update Cargo.toml as suggested

Co-authored-by: universalmind303 <universalmind.candy@gmail.com>

* Removing unused elements

* Using rs-0.34 and git hashes

---------

Co-authored-by: universalmind303 <universalmind.candy@gmail.com>

Cargo.toml

@@ -17,11 +17,10 @@ ahash = "0.8.3"
 bincode = "1.3.3"
 napi = {version = "2.13.3", default-features = false, features = ["napi8", "serde-json", "experimental"]}
 napi-derive = {version = "2.13.0", default-features = false}
-polars-core = {git = "https://github.com/pola-rs/polars.git", rev = "ec0c91f93fcd1ac355c667d6c3c3f30b257ea0a6", default-features = false}
-polars-io = {git = "https://github.com/pola-rs/polars.git", rev = "ec0c91f93fcd1ac355c667d6c3c3f30b257ea0a6", default-features = false}
-polars-lazy = {git = "https://github.com/pola-rs/polars.git", rev = "ec0c91f93fcd1ac355c667d6c3c3f30b257ea0a6", default-features = false}
-polars-ops = {git = "https://github.com/pola-rs/polars.git", rev = "ec0c91f93fcd1ac355c667d6c3c3f30b257ea0a6", default-features = false}
-thiserror = "1.0.47"
+polars-core = {git = "https://github.com/pola-rs/polars.git", rev = "60adaef43e1b3306d5da8cf736accea2e3f03d9b", default-features = false}
+polars-io = {git = "https://github.com/pola-rs/polars.git", rev = "60adaef43e1b3306d5da8cf736accea2e3f03d9b", default-features = false}
+polars-lazy = {git = "https://github.com/pola-rs/polars.git", rev = "60adaef43e1b3306d5da8cf736accea2e3f03d9b", default-features = false}
+thiserror = "1"
 smartstring = { version = "1" }
 serde_json = {version = "1"}
 either = "1.9"
@@ -31,7 +30,7 @@ features = [
   "binary_encoding",
   "rolling_window",
   "json",
-  "dynamic_groupby",
+  "dynamic_group_by",
   "zip_with",
   "simd",
   "lazy",
@@ -46,7 +45,7 @@ features = [
   "round_series",
   "is_unique",
   "is_in",
-  "is_first",
+  "is_first_distinct",
   "asof_join",
   "cross_join",
   "dot_product",
@@ -69,7 +68,6 @@ features = [
   "moment",
   "true_div",
   "dtype-categorical",
-  "string_justify",
   "diagonal_concat",
   "horizontal_concat",
   "abs",
@@ -92,9 +90,11 @@ features = [
   "list_eval",
   "arg_where",
   "timezones",
+  "peaks",
+  "string_justify",
 ]
 git = "https://github.com/pola-rs/polars.git"
-rev = "ec0c91f93fcd1ac355c667d6c3c3f30b257ea0a6"
+rev = "60adaef43e1b3306d5da8cf736accea2e3f03d9b"
 
 [build-dependencies]
 napi-build = "2.0.1"
@@ -105,6 +105,4 @@ lto = "fat"
 
 [features]
 default = ["range"]
-range = ["polars-lazy/range"]
-
-[workspace]
+range = ["polars-lazy/range"]

__tests__/dataframe.test.ts

@@ -916,7 +916,7 @@ describe("dataframe", () => {
         foo: [1, 2, 3, 1],
         bar: [6, 7, 8, 1],
       })
-      .shiftAndFill({ periods: -1, fillValue: 99 });
+      .shiftAndFill({ n: -1, fillValue: 99 });
     const expected = pl.DataFrame({
       foo: [2, 3, 1, 99],
       bar: [7, 8, 1, 99],

__tests__/expr.test.ts

@@ -365,10 +365,10 @@ describe("expr", () => {
     const actual = df.select(col("a").isFinite());
     expect(actual).toFrameEqual(expected);
   });
-  test("isFirst", () => {
+  test("isFirstDistinct", () => {
     const df = pl.DataFrame({ a: [0, 1, 2, 2] });
     const expected = pl.DataFrame({ a: [true, true, true, false] });
-    const actual = df.select(col("a").isFirst());
+    const actual = df.select(col("a").isFirstDistinct());
     expect(actual).toFrameEqual(expected);
   });
   test("isIn:list", () => {

__tests__/functions.test.ts

@@ -134,8 +134,8 @@ describe("horizontal", () => {
     const df = pl.DataFrame({ a: [1, 2, 3], b: [1.0, 2.0, 3.0] });
     const out = df.select(
       pl.sumHorizontal([pl.col("a"), pl.col("b")]),
-      pl.maxHorizontal([pl.col("a"), pl.col("b").pow(2)]),
-      pl.minHorizontal([pl.col("a"), pl.col("b").pow(2)]),
+      pl.maxHorizontal([pl.col("a"), pl.col("b").pow(2)]).alias("max"),
+      pl.minHorizontal([pl.col("a"), pl.col("b").pow(2)]).alias("min"),
     );
     expect(out["sum"]).toSeriesEqual(pl.Series("sum", [2.0, 4.0, 6.0]));
     expect(out["max"]).toSeriesEqual(pl.Series("max", [1.0, 4.0, 9.0]));

__tests__/groupby.test.ts

@@ -194,9 +194,9 @@ describe("groupby ops", () => {
       })
       .agg(pl.col("adm1_code").unique(), pl.col("fatalities").gt(0).sum());
     const expected = [
-      new Date("2021-04-05"),
-      new Date("2021-05-05"),
-      new Date("2021-04-26"),
+      new Date("2021-04-11"),
+      new Date("2021-05-29"),
+      new Date("2021-04-29"),
     ];
     const actual = out.getColumn("event_date");
     expect(actual.toArray()).toEqual(expected);
@@ -223,9 +223,9 @@ describe("groupby ops", () => {
       })
       .agg(pl.col("adm1_code").unique(), pl.col("fatalities").gt(0).sum());
     const expected = [
-      new Date("2021-04-05"),
-      new Date("2021-05-05"),
-      new Date("2021-04-26"),
+      new Date("2021-04-11"),
+      new Date("2021-05-29"),
+      new Date("2021-04-29"),
     ];
     const actual = out.getColumn("event_date").toArray();
     expect(actual).toEqual(expected);
@@ -254,9 +254,9 @@ describe("groupby ops", () => {
       .agg(pl.col("idx"));
     const expected = pl.DataFrame({
       dt: [
-        new Date("2022-12-26"),
-        new Date("2023-01-26"),
-        new Date("2023-02-26"),
+        new Date("2023-01-01"),
+        new Date("2023-02-01"),
+        new Date("2023-03-01"),
       ],
       idx: [[0, 1], [2], [3]],
     });

__tests__/lazyframe.test.ts

@@ -883,7 +883,7 @@ describe("lazyframe", () => {
         bar: [6, 7, 8, 1],
       })
       .lazy()
-      .shiftAndFill({ periods: -1, fillValue: 99 })
+      .shiftAndFill({ n: -1, fillValue: 99 })
       .collectSync();
     const expected = pl.DataFrame({
       foo: [2, 3, 1, 99],
@@ -898,7 +898,7 @@ describe("lazyframe", () => {
         bar: [6, 7, 8, 1],
       })
       .lazy()
-      .shiftAndFill({ periods: -1, fillValue: pl.lit(99) })
+      .shiftAndFill({ n: -1, fillValue: 99 })
       .collectSync();
     const expected = pl.DataFrame({
       foo: [2, 3, 1, 99],