inputs stringlengths 312 52k | targets stringlengths 1 3.1k ⌀ | block_type stringclasses 11
values | scenario stringclasses 7
values |
|---|---|---|---|
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def sample_intervals(
rng,
t,
w_logits,
num_samples,
single_jitter=False,
domain=(-jnp.inf, jnp.inf),
):
... | if remove_symmetries:
# Remove elements of `verts` that are reflections of each other.
match = compute_sq_dist(verts.T, -verts.T) < eps
verts = verts[~np.any(np.triu(match), axis=0), :] | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/coord.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/render.py
def gaussianize_frustum(t0, t1):
"""Convert intervals along a conical frustum into means and variances."""
# A more stable versi... | if fn_inv is None:
# A simple mapping from some functions to their inverse.
inv_mapping = {
'reciprocal': jnp.reciprocal,
'log': jnp.exp,
'exp': jnp.log,
'sqrt': jnp.square,
'square': jnp.sqrt,
}
fn_inv = inv_mapping[fn.__name__] | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/math.py
def find_interval(x):
# Grab the value where `mask` switches from True to False, and vice versa.
# This approach tak... | if mat1 is None:
mat1 = mat0 | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/linspline.py
def sorted_lookup(x, xp):
"""Lookup `x` at sorted locations `xp`."""
# jnp.searchsorted() has slightly different conventions f... | if device_is_tpu:
# Identify the location in `xp` that corresponds to each `x`.
# The final `True` index in `mask` is the start of the matching interval.
mask = x[Ellipsis, None, :] >= xp[Ellipsis, :, None]
def find_interval(x):
# Grab the value where `mask` switches from True to False, and vice ... | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/stepfun.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/linspline.py
def compute_integral(t, y):
"""Integrate a linear spline into a piecewise quadratic spline."""
utils.assert_valid_linspline... | wq = jnp.diff(acc_wq, axis=-1) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/quaternion.py
def from_axis_angle(
axis_angle, eps = jnp.finfo(jnp.float32).eps
):
"""Constructs a quaternion for the given axis/angle... | new_verts /= np.sqrt(np.sum(new_verts**2, 1, keepdims=True)) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/stepfun.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/math.py
def log_lerp(t, v0, v1):
"""Interpolate log-linearly from `v0` (t=0) to `v1` (t=1)."""
if v0 <= 0 or v1 <= 0:
raise ValueErr... | return t_new | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/linspline.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def blur_and_resample_weights(tq, t, w, blur_halfwidth):
"""Blur the (t, w) histogram by blur_halfwidth, then resample it int... | c = jnp.concatenate([jnp.zeros_like(y[Ellipsis, :1]), c1], axis=-1) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/coord.py
def expected_sin(mean, var):
"""Compute the mean of sin(x), x ~ N(mean, var)."""
return jnp.exp(-0.5 * var) * math.safe_sin(mean) ... | return safe_trig_helper(x, jnp.sin) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/coord.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/render.py
def gaussianize_frustum(t0, t1):
"""Convert intervals along a conical frustum into means and variances."""
# A more stable versi... | return z | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/linspline.py
def sorted_lookup(x, xp):
"""Lookup `x` at sorted locations `xp`."""
# jnp.searchsorted() has slightly different conventions f... | vals = [] | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geometry.py
def spherical_to_cartesian(
r,
theta,
phi,
):
"""Converts spherical to cartesian coordinates.
For more detail... | ide = sph_harms * jnp.exp(-sigma * kappa_inv) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geometry.py
def spherical_to_cartesian(
r,
theta,
phi,
):
"""Converts spherical to cartesian coordinates.
For more detail... | vmz = jnp.concatenate([z**i for i in range(mat.shape[0])], axis=-1) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/coord.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/render.py
def lift_gaussian(d, t_mean, t_var, r_var, diag):
"""Lift a Gaussian defined along a ray to 3D coordinates."""
mean = d[Ellipsis... | z_mag_sq = jnp.maximum(1, jnp.sum(z**2, axis=-1, keepdims=True)) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | # Thread exception will be raised here | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/stepfun.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/utils.py
def assert_valid_stepfun(t, y):
"""Assert that step function (t, y) has a valid shape."""
if t.shape[-1] != y.shape[-1] + 1:
... | # Sample a set of points from the step function. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geometry.py
def spherical_to_cartesian(
r,
theta,
phi,
):
"""Converts spherical to cartesian coordinates.
For more detail... | # concentration parameter, kappa. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/stepfun.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geopoly.py
def compute_sq_dist(mat0, mat1=None):
"""Compute the squared Euclidean distance between all pairs of columns."""
if mat1 is N... | # The loss incurred within each individual interval with itself. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/linspline.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/rigid_body.py
def exp_so3(
axis_angle, eps=jnp.finfo(jnp.float32).eps
):
"""Exponential map from Lie algebra so3 to Lie group SO3.
... | # Dilate the t-values by at least numerical epsilon in each direction. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/math.py
def log_lerp(t, v0, v1):
"""Interpolate log-linearly from `v0` (t=0) to `v1` (t=1)."""
if v0 <= 0 or v1 <= 0:
raise ValueErr... | # Barycentric weights. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/coord.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/spin_math.py
def safe_sqrt(x,
*,
eps = jnp.finfo(jnp.float32).eps,
value_at_zero = 0.0):
"""A safe... | # Guard against NaN outputs when `det` is super small. Note that this does not | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/stepfun.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geopoly.py
def compute_sq_dist(mat0, mat1=None):
"""Compute the squared Euclidean distance between all pairs of columns."""
if mat1 is N... | # The loss incurred between all pairs of intervals. | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/linspline.py
def sorted_lookup(x, xp):
"""Lookup `x` at sorted locations `xp`."""
# jnp.searchsorted() has slightly different conventions f... | # jnp.searchsorted() has slightly different conventions for boundary | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | # iterations | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/math.py
def log_lerp(t, v0, v1):
"""Interpolate log-linearly from `v0` (t=0) to `v1` (t=1)."""
if v0 <= 0 or v1 <= 0:
raise ValueErr... | for i in range(v + 1):
for j in range(v + 1 - i):
int_weights.append((i, j, v - (i + j))) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geopoly.py
def compute_tesselation_weights(v):
"""Tesselate the vertices of a triangle by a factor of `v`."""
if v < 1:
raise Valu... | for i in range(deg_view):
l = 2**i
# Only use nonnegative m values, later splitting real and imaginary parts.
for m in range(l + 1):
ml_list.append((m, l)) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/math.py
def log_lerp(t, v0, v1):
"""Interpolate log-linearly from `v0` (t=0) to `v1` (t=1)."""
if v0 <= 0 or v1 <= 0:
raise ValueErr... | for j in range(v + 1 - i):
int_weights.append((i, j, v - (i + j))) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | for item in fn(*args, **kwargs):
results_queue.put(item) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/camera_utils.py
def identify_file_indices(
dir_or_text_file, file_names
):
"""Computes indices for a subset of files out of a larger... | for k in range(l - m + 1):
mat[k, i] = sph_harm_coeff(l, m, k) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/linspline.py
def sorted_lookup(x, xp):
"""Lookup `x` at sorted locations `xp`."""
# jnp.searchsorted() has slightly different conventions f... | for fp in fps:
fp0 = jnp.take_along_axis(fp, idx0, axis=-1)
fp1 = jnp.take_along_axis(fp, idx1, axis=-1)
vals.append((fp0, fp1)) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | for item in fn(*args, **kwargs):
results_queue.put(item) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/geopoly.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/quaternion.py
def from_axis_angle(
axis_angle, eps = jnp.finfo(jnp.float32).eps
):
"""Constructs a quaternion for the given axis/angle... | for base_face in base_faces:
new_verts = np.matmul(tri_weights, base_verts[base_face, :])
new_verts /= np.sqrt(np.sum(new_verts**2, 1, keepdims=True))
verts.append(new_verts) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/geopoly.py
def compute_tesselation_weights(v):
"""Tesselate the vertices of a triangle by a factor of `v`."""
if v < 1:
raise Valu... | for m in range(l + 1):
ml_list.append((m, l)) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | for item in fn(*args, **kwargs):
results_queue.put(item) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | def result_fn(*args, **kwargs):
results_queue = queue.Queue(queue_size)
populating_data = True
populating_data_lock = threading.Lock()
def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = True` creates a local variable
... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | def decorator(
fn,
):
def result_fn(*args, **kwargs):
results_queue = queue.Queue(queue_size)
populating_data = True
populating_data_lock = threading.Lock()
def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = Tru... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/spin_math.py
def safe_log(x,
*,
eps = jnp.finfo(jnp.float32).eps,
value_at_zero = jnp.finfo(jnp.flo... | def dir_enc_fn(xyz):
"""Function returning directional encoding (DE)."""
return integrated_dir_enc_fn(xyz, jnp.zeros_like(xyz[Ellipsis, :1])) | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/ref_utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/camera_utils.py
def identify_file_indices(
dir_or_text_file, file_names
):
"""Computes indices for a subset of files out of a larger... | def integrated_dir_enc_fn(xyz, kappa_inv):
"""Function returning integrated directional encoding (IDE).
Args:
xyz: [..., 3] array of Cartesian coordinates of directions to evaluate at.
kappa_inv: [..., 1] reciprocal of the concentration parameter of the von
Mises-Fisher distribution.
R... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = True` creates a local variable
nonlocal populating_data
try:
for item in fn(*args, **kwargs):
results_queue.put(item)
finally:
# Set populati... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/train_utils.py
def summarize_tree(fn, tree, ancestry=(), max_depth=3):
"""Flatten 'tree' while 'fn'-ing values and formatting keys like/this.... | def safe_fn(x):
"""fn() with clipped inputs."""
return fn(jnp.clip(x, *x_range)) | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = True` creates a local variable
nonlocal populating_data
try:
for item in fn(*args, **kwargs):
results_queue.put(item)
finally:
# Set populati... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = True` creates a local variable
nonlocal populating_data
try:
for item in fn(*args, **kwargs):
results_queue.put(item)
finally:
# Set populati... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/train_utils.py
def summarize_tree(fn, tree, ancestry=(), max_depth=3):
"""Flatten 'tree' while 'fn'-ing values and formatting keys like/this.... | def safe_fn_jvp(primals, tangents):
"""Backpropagate using the gradient and clipped inputs."""
(x,) = primals
(x_dot,) = tangents
y = safe_fn(x)
y_dot = grad_fn(jnp.clip(x, *x_range), y, x_dot)
return y, y_dot | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | def result_fn(*args, **kwargs):
results_queue = queue.Queue(queue_size)
populating_data = True
populating_data_lock = threading.Lock()
def thread_fn():
# Mark has_data as a variable that's outside of thread_fn
# Otherwise, `populating_data = True` creates a local variable
... | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | try:
for item in fn(*args, **kwargs):
results_queue.put(item) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | try:
for item in fn(*args, **kwargs):
results_queue.put(item) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | try:
for item in fn(*args, **kwargs):
results_queue.put(item) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | while True:
with populating_data_lock:
if not populating_data and results_queue.empty():
break
get_start = time.time()
try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0)
except... | WHILE | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | while True:
with populating_data_lock:
if not populating_data and results_queue.empty():
break
get_start = time.time()
try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0)
except... | WHILE | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | while True:
with populating_data_lock:
if not populating_data and results_queue.empty():
break
get_start = time.time()
try:
# Set timeout to allow for exceptions to be propagated.
next_value = results_queue.get(timeout=1.0)
except... | WHILE | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | except queue.Empty:
continue | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/stepfun.py
def integrate_weights(w):
"""Compute the cumulative sum of w, assuming all weight vectors sum to 1.
The output's size on the l... | except queue.Empty:
continue | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/utils.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/datasets.py
def __init__(self, dataset: Dataset):
super().__init__()
self._queue = queue.Queue(3) # Set prefetch buffer to 3 batch... | except queue.Empty:
continue | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/train_utils.py
def summarize_tree(fn, tree, ancestry=(), max_depth=3):
"""Flatten 'tree' while 'fn'-ing values and formatting keys like/this.... | @jax.custom_jvp | ANNOTATION | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>camp_zipnerf/internal/math.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# camp_zipnerf/internal/train_utils.py
def summarize_tree(fn, tree, ancestry=(), max_depth=3):
"""Flatten 'tree' while 'fn'-ing values and formatting keys like/this.... | @safe_fn.defjvp | ANNOTATION | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_persistence_manager.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the persistence lay... | """
Load all agents from the database.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/sqlite_agent_persistence.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/memoize.py
def _cache_result(self, arg_hash, result):
cursor = self.connection.cursor()
cursor.ex... | """
Save the serialized agent to an SQLite database.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/microagent_manager.py
def cleanup_agents(self):
"""Remove all agents with status stopped = True"""
self.agent_lifecycl... | """Remove all agents with status stopped = True in an efficient manner.""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_response.py
def _generate_chat_response(self, system_prompt, react_prompt):
return self.openai_wrapper.chat_completion(
... | """
Generates a prompt for the LLM based on the given goal and sample input.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/sqlite_agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the SQLite database.
... | """
Memoization decorator that caches the output of a method in a SQLite
database.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/microagent_manager.py
def create_agents(self) -> None:
"""Creates prime agents and logs the process."""
logger.info("C... | """Creates the prime agent and adds it to the agent list.""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent_manager.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def get_available_agents_for_agent(self, agent) -> List[MicroAgent]:
"""Returns the list of available ag... | """Returns the list of agents.""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | """
Finds the closest agent based on the given purpose embedding.
:param purpose_embedding: The embedding of the purpose to find the closest agent for.
:return: Tuple of the closest agent and the highest similarity score.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent_manager.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def cleanup_agents(self):
"""Remove all agents with status stopped = True in an efficient manner."""
... | """Remove all agents with status stopped = True""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/logic.py
def display_agent_info(self, table_data):
time.sleep(2)
self.app.table.clear()
if len(table_data) > 0:
... | """
Retrieves the embedding for a given text.
:param text: Text to get embedding for.
:return: Embedding as a numpy array.
""" | BLOCK_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | self.parent_id = parent_id | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | self.id = str(uuid.uuid4()) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/parallel_agent_executor.py
def determine_winning_agent(self):
if not self.response_queue.empty():
return self.respon... | result = self._fetch_from_cache(arg_hash) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | self.dynamic_prompt = initial_prompt | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/sqlite_agent_persistence.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the persistenc... | cursor = conn.cursor() | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | similarity = cosine_similarity([agent.purpose_embedding], [purpose_embedding])[0][0] | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/sqlite_agent_persistence.py
def save_agent(self, agent_dict):
"""
Save the serialized agent to an SQLite database.... | cursor = self.connection.cursor() | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | self.parent_id = None | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/sqlite_agent_persistence.py
def _initialize_database(self):
"""
Initialize the SQLite database with the required s... | self.connection = sqlite3.connect(self.filename) | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | self.depth = depth | STATEMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_response.py
def _generate_chat_response(self, system_prompt, react_prompt):
return self.openai_wrapper.chat_completion(
... | try:
return self.openai_wrapper.chat_completion(messages=messages) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | try:
for agent in self.agents:
if agent.purpose_embedding is None:
agent.purpose_embedding = self.get_embedding(agent.purpose)
similarity = cosine_similarity([agent.purpose_embedding], [purpose_embedding])[0][0]
if similarity > highest_sim... | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/logic.py
def display_agent_info(self, table_data):
time.sleep(2)
self.app.table.clear()
if len(table_data) > 0:
... | try:
response = self.openai_wrapper.get_embedding(text)
if 'data' in response and len(response['data']) > 0 and 'embedding' in response['data'][0]:
return np.array(response['data'][0]['embedding'])
else:
logger.exception("Invalid response format")
... | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/microagent_manager.py
def create_agents(self) -> None:
"""Creates prime agents and logs the process."""
logger.info("C... | try:
self.agent_persistence.save_agent(agent) | TRY | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | except Exception as e:
logger.exception(f"Error finding closest agent: {e}")
raise ValueError(f"Error finding closest agent: {e}") | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_response.py
def _generate_chat_response(self, system_prompt, react_prompt):
return self.openai_wrapper.chat_completion(
... | except Exception as e:
logger.exception(f"Error generating LLM prompt: {e}")
return "" | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_lifecycle.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/microagent_manager.py
def create_agents(self) -> None:
"""Creates prime agents and logs the process."""
logger.info("C... | except Exception as e:
logger.exception(f"Error in saving agent: {e}")
raise | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/logic.py
def display_agent_info(self, table_data):
time.sleep(2)
self.app.table.clear()
if len(table_data) > 0:
... | except Exception as e:
logger.exception(f"Error retrieving embedding: {e}")
raise ValueError(f"Error retrieving embedding: {e}") | CATCH | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_persistence_manager.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the persistence lay... | for purpose in purposes:
agent = self.load_agent(purpose, agent_lifecycle, openai_wrapper)
if agent:
agents.append(agent) | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | for agent in self.agents:
if agent.purpose_embedding is None:
agent.purpose_embedding = self.get_embedding(agent.purpose)
similarity = cosine_similarity([agent.purpose_embedding], [purpose_embedding])[0][0]
if similarity > highest_similarity:
... | FOR | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | if is_prime:
self.id = "2a5e6fe9-1bb1-426c-9521-145caa2cf66b"
else:
if id:
self.id = id
else:
self.id = str(uuid.uuid4()) | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | if id:
self.id = id
else:
self.id = str(uuid.uuid4()) | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | if similarity > highest_similarity:
highest_similarity = similarity
closest_agent = agent | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/agent_lifecycle.py
def save_agent(self, agent: MicroAgent) -> None:
"""Saves the given agent with error handling."""
... | if agent.purpose_embedding is None:
agent.purpose_embedding = self.get_embedding(agent.purpose) | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_similarity.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/logic.py
def display_agent_info(self, table_data):
time.sleep(2)
self.app.table.clear()
if len(table_data) > 0:
... | if 'data' in response and len(response['data']) > 0 and 'embedding' in response['data'][0]:
return np.array(response['data'][0]['embedding'])
else:
logger.exception("Invalid response format")
raise ValueError("Invalid response format") | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/agents/parallel_agent_executor.py
def determine_winning_agent(self):
if not self.response_queue.empty():
return self.respon... | if result is not None:
return result | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/agent_persistence_manager.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the persistence lay... | if agent:
agents.append(agent) | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/agents/microagent.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/ui/format.py
def print_agent_statistics(agent):
"""
Print statistics for a given agent.
"""
print(f"📊 Stats for {agent.purpose}:")
... | if parent:
self.parent_id = parent.id if parent else None
else:
self.parent_id = None | IF | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/sqlite_agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the SQLite database.
... | def decorator(func):
@functools.wraps(func)
def wrapped(*args, **kwargs):
with SQLiteMemoization(filename) as memoizer:
return memoizer.fetch_or_compute(func, func_name, *args, **kwargs)
return wrapped | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/utils/utility.py
def time_function(func: T) -> T:
"""
Decorator to measure the execution time of a function.
Args:
func (Calla... | def wrapped(*args, **kwargs):
with SQLiteMemoization(filename) as memoizer:
return memoizer.fetch_or_compute(func, func_name, *args, **kwargs) | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/memoize.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/sqlite_agent_persistence.py
def load_all_purposes(self):
"""
Load all agent purposes from the SQLite database.
... | def wrapped(*args, **kwargs):
with SQLiteMemoization(filename) as memoizer:
return memoizer.fetch_or_compute(func, func_name, *args, **kwargs) | METHOD | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
<filename>microagents/integrations/sqlite_agent_persistence.py<fim_prefix>""" Here are some snippets of code retrieved from other files in this repository that may help you:
# microagents/integrations/memoize.py
def _cache_result(self, arg_hash, result):
cursor = self.connection.cursor()
cursor.ex... | # add id field | LINE_COMMENT | prefix_suffix_full_complete_current_block_with_repo_rag_oracle |
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