Commit ⋅ activeloopai/deeplake

Showing 4 of 4 files from the diff.

98.82% 50.00% ø

deeplake/util/class_label.py changed.

87.17% 100.00% +0.07%

deeplake/core/tensor.py changed.

95.70% 87.50% +0.05%

deeplake/util/merge.py changed.

100.00% 100.00% ø

deeplake/core/version_control/test_merge.py changed.

@@ -58,12 +58,12 @@

            return hashes


def convert_to_text(inp, class_names: List[str]):
def convert_to_text(inp, class_names: List[str], return_original=False):
    if isinstance(inp, np.integer):
        idx = int(inp)
        if idx < len(class_names):
            return class_names[idx]
        return None
        return idx if return_original else None
    return [convert_to_text(item, class_names) for item in inp]



@@ -878,7 +878,7 @@

            data = {"value": labels}
            class_names = self.info.class_names
            if class_names:
                data["text"] = convert_to_text(labels, self.info.class_names)
                data["text"] = convert_to_text(labels, class_names)
            return data
        if htype in ("image", "image.rgb", "image.gray", "dicom"):
            return {

@@ -2,6 +2,7 @@

from typing import Dict, List, Optional, Set, Tuple
from deeplake.core.version_control.commit_diff import CommitDiff
from deeplake.core.version_control.commit_node import CommitNode
from deeplake.util.class_label import convert_to_text
from deeplake.util.diff import (
    get_lowest_common_ancestor,
    has_change,

@@ -461,19 +462,21 @@


    new_indexes = new_samples_dict[tensor_name]
    new_indexes.sort()
    is_class_label = original_tensor.meta.htype == "class_label"
    is_class_label = target_tensor.meta.htype == "class_label"
    if is_class_label:
        class_names = target_tensor.info.class_names
    for index in new_indexes:
        sample = target_tensor[index]
        if is_class_label:
            sample = sample.data()["text"]
        if is_class_label and class_names:
            sample = convert_to_text(sample.numpy(), class_names, return_original=True)
        original_tensor.append(sample)
        original_id_tensor[-1] = target_id_tensor[index]

    updated_indexes = updated_samples_dict[tensor_name]
    for original_idx, target_idx in updated_indexes:
        sample = target_tensor[target_idx]
        if is_class_label:
            sample = sample.data()["text"]
        if is_class_label and class_names:
            sample = convert_to_text(sample.numpy(), class_names, return_original=True)
        original_tensor[original_idx] = sample



@@ -430,3 +430,23 @@

430	430		"g",
431	431		"h",
432	432		}
	433	+
	434	+
	435	+	def test_merge_class_labels_no_classnames(local_ds):
	436	+	with local_ds as ds:
	437	+	ds.create_tensor("labels", "class_label")
	438	+	ds.labels.extend([0, 1, 2, 3])
	439	+	ds.commit()
	440	+
	441	+	ds.checkout("alt", create=True)
	442	+	ds.labels.extend([4, 5, 0])
	443	+	ds.commit()
	444	+
	445	+	ds.checkout("main")
	446	+	ds.labels.extend([6, 5, 7])
	447	+	ds.merge("alt")
	448	+
	449	+	np.testing.assert_array_equal(
	450	+	np.array(ds.labels.numpy()).squeeze(),
	451	+	[0, 1, 2, 3, 6, 5, 7, 4, 5, 0],
	452	+	)

Files		•	•	Coverage
deeplake	27,685	24,852	2,833	89.77%
conftest.py	41	41	0	100.00%
setup.py	38	0	38	0.00%
Project Totals (253 files)	27,764	24,893	2,871	89.66%

PYTHON=undefined
OS=undefined

unittests

View CI Build Download

No yaml found.

Create your codecov.yml to customize your Codecov experience

Read the docs

Interact now

The inner-most circle is the entire project, moving away from the center are folders then, finally, a single file. The size and color of each slice is representing the number of statements and the coverage, respectively.

SVG

The top section represents the entire project. Proceeding with folders and finally individual files. The size and color of each slice is representing the number of statements and the coverage, respectively.

SVG

Each block represents a single file in the project. The size and color of each block is represented by the number of statements and the coverage, respectively.

SVG

Learn more about the coverage sunburst graph

878	878		data = {"value": labels}
879	879		class_names = self.info.class_names
880	880		if class_names:
881		-	data["text"] = convert_to_text(labels, self.info.class_names)
	881	+	data["text"] = convert_to_text(labels, class_names)
882	882		return data
883	883		if htype in ("image", "image.rgb", "image.gray", "dicom"):
884	884		return {

461	462
462	463		new_indexes = new_samples_dict[tensor_name]
463	464		new_indexes.sort()
464		-	is_class_label = original_tensor.meta.htype == "class_label"
	465	+	is_class_label = target_tensor.meta.htype == "class_label"
	466	+	if is_class_label:
	467	+	class_names = target_tensor.info.class_names
465	468		for index in new_indexes:
466	469		sample = target_tensor[index]
467		-	if is_class_label:
468		-	sample = sample.data()["text"]
	470	+	if is_class_label and class_names:
	471	+	sample = convert_to_text(sample.numpy(), class_names, return_original=True)
469	472		original_tensor.append(sample)
470	473		original_id_tensor[-1] = target_id_tensor[index]
471	474
472	475		updated_indexes = updated_samples_dict[tensor_name]
473	476		for original_idx, target_idx in updated_indexes:
474	477		sample = target_tensor[target_idx]
475		-	if is_class_label:
476		-	sample = sample.data()["text"]
	478	+	if is_class_label and class_names:
	479	+	sample = convert_to_text(sample.numpy(), class_names, return_original=True)
477	480		original_tensor[original_idx] = sample
478	481
479	482

Navigation	Overlay
`t` Navigate files	`h` Toggle hits
`y` Change url to tip of branch	`m` Toggle misses
`b / v` Jump to prev/next hit line	`p` Toggle partial
`z / x` Jump to prev/next missed or partial line	`1..9` Toggle flags
`shift + o` Open current page in GitHub	`a` Toggle all on
`/ or ?` Show keyboard shortcuts dialog	`c` Toggle context lines or commits

58	58		return hashes
59	59
60	60
61		-	def convert_to_text(inp, class_names: List[str]):
	61	+	def convert_to_text(inp, class_names: List[str], return_original=False):
62	62		if isinstance(inp, np.integer):
63	63		idx = int(inp)
64	64		if idx < len(class_names):
65	65		return class_names[idx]
66		-	return None
	66	+	return idx if return_original else None
67	67		return [convert_to_text(item, class_names) for item in inp]
68	68
69	69

2	2		from typing import Dict, List, Optional, Set, Tuple
3	3		from deeplake.core.version_control.commit_diff import CommitDiff
4	4		from deeplake.core.version_control.commit_node import CommitNode
	5	+	from deeplake.util.class_label import convert_to_text
5	6		from deeplake.util.diff import (
6	7		get_lowest_common_ancestor,
7	8		has_change,

Updating our web app

No yaml found.