diff --git a/bazel/zig.bzl b/bazel/zig.bzl
index f6de39a..ac7da82 100644
--- a/bazel/zig.bzl
+++ b/bazel/zig.bzl
@@ -23,7 +23,6 @@ def zig_cc_test(name, env = None, data = [], deps = [], test_runner = None, visi
         name = "{}_test_lib".format(name),
         kind = BINARY_KIND.test_lib,
         test_runner = test_runner,
-        data = data,
         deps = deps + [
             "@rules_zig//zig/lib:libc",
         ],
diff --git a/stdx/math.zig b/stdx/math.zig
index db20a5d..c1b2ac4 100644
--- a/stdx/math.zig
+++ b/stdx/math.zig
@@ -1,13 +1,5 @@
-pub inline fn divFloor(comptime T: type, numerator: anytype, denominator: anytype) T {
-    return @divFloor(floatCast(T, numerator), floatCast(T, denominator));
-}
-
-pub inline fn divExact(comptime T: type, numerator: anytype, denominator: anytype) T {
-    return @divExact(floatCast(T, numerator), floatCast(T, denominator));
-}
-
-pub inline fn divTrunc(comptime T: type, numerator: anytype, denominator: anytype) T {
-    return @divTrunc(floatCast(T, numerator), floatCast(T, denominator));
+pub inline fn divFloat(comptime T: type, numerator: anytype, denominator: anytype) T {
+    return floatCast(T, numerator) / floatCast(T, denominator);
 }
 
 pub inline fn floatCast(comptime T: type, x: anytype) T {
diff --git a/zml/module.zig b/zml/module.zig
index c7cbfc5..dcff875 100644
--- a/zml/module.zig
+++ b/zml/module.zig
@@ -943,7 +943,7 @@ fn compileInternal(
 
     if (timer) |*t| {
         const time_ms = @divFloor(t.lap(), std.time.ns_per_ms);
-        if (time_ms > 1000) log.info("Compilation took {d:.3}s", .{stdx.math.divFloor(f32, time_ms, 1000)});
+        if (time_ms > 1000) log.info("Compilation took {d:.3}s", .{stdx.math.divFloat(f32, time_ms, 1000)});
     }
 
     var arena_state_exe = std.heap.ArenaAllocator.init(allocator);
diff --git a/zml/nn.zig b/zml/nn.zig
index 0a0abd3..d66ec58 100644
--- a/zml/nn.zig
+++ b/zml/nn.zig
@@ -398,7 +398,7 @@ pub fn nearest(input: Tensor, scale_factor: []const f64) Tensor {
     var res = input;
     for (spatial_dims) |d| {
         const n = out_shape.dim(d);
-        const ratio = stdx.math.divFloor(f32, input.dim(d), n);
+        const ratio = stdx.math.divFloat(f32, input.dim(d), n);
         const offsets = Tensor.arange(.{ .end = n }, .f32).addConstant(0.5).scale(ratio).floor().convert(.i32);
         res = res.gatherValues(d, offsets, .{ .indices_are_sorted = true });
     }
@@ -576,7 +576,7 @@ pub fn resizeLinear1d(image: Tensor, axis: i8, new_len: u63, opt: ResizeOpts) Te
 
     const dtype = opt.precision orelse if (image.dtype().class() == .integer) .f32 else image.dtype();
     const og_len = opt.original_len orelse Tensor.scalar(image.dim(axis), dtype);
-    const ratio = og_len.convert(dtype).scale(stdx.math.divFloor(f32, 1, new_len));
+    const ratio = og_len.convert(dtype).scale(stdx.math.divFloat(f32, 1, new_len));
     const scaled = Tensor.arange(.{ .end = new_len }, dtype).mul(ratio);
     const left = scaled.floor();
     const right = left.addConstant(1);
@@ -638,7 +638,7 @@ pub fn resizeCubic1d(image: Tensor, axis: i8, new_len: u63, opt: ResizeOpts) Ten
     const dtype = opt.precision orelse if (image.dtype().class() == .integer) .f32 else image.dtype();
     const og_len = opt.original_len orelse Tensor.scalar(image.dim(axis), dtype);
 
-    const ratio = og_len.convert(dtype).scale(stdx.math.divFloor(f32, 1, new_len));
+    const ratio = og_len.convert(dtype).scale(stdx.math.divFloat(f32, 1, new_len));
     const scaled = Tensor.arange(.{ .end = new_len }, dtype).mul(ratio);
     const t = scaled.sub(scaled.floor());
     const pos = Tensor.stack(&.{