prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  tril_indces_from
  
  
  </issue>
  <code>
  [start of ivy/functional/frontends/jax/numpy/indexing.py]
  1 # local
  2 import ivy
  3 from ivy.functional.frontends.jax.func_wrapper import (
  4     to_ivy_arrays_and_back,
  5 )
  6 
  7 
  8 @to_ivy_arrays_and_back
  9 def diagonal(a, offset=0, axis1=0, axis2=1):
  10     return ivy.diagonal(a, offset=offset, axis1=axis1, axis2=axis2)
  11 
  12 
  13 @to_ivy_arrays_and_back
  14 def diag(v, k=0):
  15     return ivy.diag(v, k=k)
  16 
  17 
  18 @to_ivy_arrays_and_back
  19 def diag_indices(n, ndim=2):
  20     idx = ivy.arange(n, dtype=int)
  21     return (idx,) * ndim
  22 
  23 
  24 # take_along_axis
  25 @to_ivy_arrays_and_back
  26 def take_along_axis(arr, indices, axis, mode="fill"):
  27     return ivy.take_along_axis(arr, indices, axis, mode=mode)
  28 
  29 
  30 @to_ivy_arrays_and_back
  31 def tril_indices(n_rows, n_cols=None, k=0):
  32     return ivy.tril_indices(n_rows, n_cols, k)
  33
  [end of ivy/functional/frontends/jax/numpy/indexing.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/ivy/functional/frontends/jax/numpy/indexing.py b/ivy/functional/frontends/jax/numpy/indexing.py
  --- a/ivy/functional/frontends/jax/numpy/indexing.py
  +++ b/ivy/functional/frontends/jax/numpy/indexing.py
  @@ -30,3 +30,8 @@
   @to_ivy_arrays_and_back
   def tril_indices(n_rows, n_cols=None, k=0):
       return ivy.tril_indices(n_rows, n_cols, k)
  +
  +
  +@to_ivy_arrays_and_back
  +def tril_indices_from(arr, k=0):
  +    return ivy.tril_indices(arr.shape[-2], arr.shape[-1], k)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/jax/numpy/indexing.py b/ivy/functional/frontends/jax/numpy/indexing.py\n--- a/ivy/functional/frontends/jax/numpy/indexing.py\n+++ b/ivy/functional/frontends/jax/numpy/indexing.py\n@@ -30,3 +30,8 @@\n @to_ivy_arrays_and_back\n def tril_indices(n_rows, n_cols=None, k=0):\n     return ivy.tril_indices(n_rows, n_cols, k)\n+\n+\n+@to_ivy_arrays_and_back\n+def tril_indices_from(arr, k=0):\n+    return ivy.tril_indices(arr.shape[-2], arr.shape[-1], k)\n", "issue": "tril_indces_from\n\n", "before_files": [{"content": "# local\nimport ivy\nfrom ivy.functional.frontends.jax.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@to_ivy_arrays_and_back\ndef diagonal(a, offset=0, axis1=0, axis2=1):\n    return ivy.diagonal(a, offset=offset, axis1=axis1, axis2=axis2)\n\n\n@to_ivy_arrays_and_back\ndef diag(v, k=0):\n    return ivy.diag(v, k=k)\n\n\n@to_ivy_arrays_and_back\ndef diag_indices(n, ndim=2):\n    idx = ivy.arange(n, dtype=int)\n    return (idx,) * ndim\n\n\n# take_along_axis\n@to_ivy_arrays_and_back\ndef take_along_axis(arr, indices, axis, mode=\"fill\"):\n    return ivy.take_along_axis(arr, indices, axis, mode=mode)\n\n\n@to_ivy_arrays_and_back\ndef tril_indices(n_rows, n_cols=None, k=0):\n    return ivy.tril_indices(n_rows, n_cols, k)\n", "path": "ivy/functional/frontends/jax/numpy/indexing.py"}]}