Commit ⋅ scikit-tda/tadasets

Showing 3 of 8 files from the diff.

Newly tracked file

100.00% ø ø

tadasets/view.py changed.

Newly tracked file

100.00% ø ø

tadasets/__init__.py changed.

Newly tracked file

100.00% ø ø

tadasets/sample.py changed.

Other files ignored by Codecov

test/test_shapes.py has changed.

docs/conf.py has changed.

.pre-commit-config.yaml is new.

.flake8 is new.

setup.py has changed.

@@ -1,5 +1,6 @@

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

# from mpl_toolkits.mplot3d import Axes3D


def plot3d(data, fig=None, ax=None, **params):

@@ -1,3 +1,4 @@

	1	+	# flake8: noqa
1	2		from .shapes import *
2	3		from .view import *
3	4		from .dimension import *

@@ -55,7 +55,7 @@

    FNormals = FNormals / FAreas[:, None]
    FAreas = 0.5 * FAreas
    FNormals = FNormals
    VNormals = np.zeros_like(vertices)
    # VNormals = np.zeros_like(vertices)
    VAreas = np.zeros(vertices.shape[0])
    for k in range(3):
        # VNormals[triangles[:, k], :] += FAreas[:, None] * FNormals

@@ -65,7 +65,7 @@

    VAreas[VAreas == 0] = 1
    # VNormals = VNormals / VAreas[:, None]

    ###Step 2: Randomly sample points based on areas
    # Step 2: Randomly sample points based on areas
    FAreas = FAreas / np.sum(FAreas)
    AreasC = np.cumsum(FAreas)
    samples = np.sort(np.random.rand(n))

@@ -84,7 +84,7 @@

    for i in range(len(FSamples)):
        tidx[idx : idx + FSamples[i]] = i
        idx += FSamples[i]
    N = np.zeros((n, 3))  # Allocate space for normals
    # N = np.zeros((n, 3))  # Allocate space for normals
    idx = 0

    # Vector used to determine if points need to be flipped across parallelogram

Files		•	•	•	Coverage
tadasets	169	153	6	10	90.53%
Project Totals (7 files)	169	153	6	10	90.53%

3.6=.6
TRAVIS_OS_NAME=linux

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

55	55		FNormals = FNormals / FAreas[:, None]
56	56		FAreas = 0.5 * FAreas
57	57		FNormals = FNormals
58		-	VNormals = np.zeros_like(vertices)
	58	+	# VNormals = np.zeros_like(vertices)
59	59		VAreas = np.zeros(vertices.shape[0])
60	60		for k in range(3):
61	61		# VNormals[triangles[:, k], :] += FAreas[:, None] * FNormals

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

1	1		import matplotlib.pyplot as plt
2		-	from mpl_toolkits.mplot3d import Axes3D
	2	+
	3	+	# from mpl_toolkits.mplot3d import Axes3D
3	4
4	5
5	6		def plot3d(data, fig=None, ax=None, **params):

65	65		VAreas[VAreas == 0] = 1
66	66		# VNormals = VNormals / VAreas[:, None]
67	67
68		-	###Step 2: Randomly sample points based on areas
	68	+	# Step 2: Randomly sample points based on areas
69	69		FAreas = FAreas / np.sum(FAreas)
70	70		AreasC = np.cumsum(FAreas)
71	71		samples = np.sort(np.random.rand(n))

84	84		for i in range(len(FSamples)):
85	85		tidx[idx : idx + FSamples[i]] = i
86	86		idx += FSamples[i]
87		-	N = np.zeros((n, 3)) # Allocate space for normals
	87	+	# N = np.zeros((n, 3)) # Allocate space for normals
88	88		idx = 0
89	89
90	90		# Vector used to determine if points need to be flipped across parallelogram