Datasets:

zirui3

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helpo

e8d20ad43f1d6ca8af3e172d71e294bd10d31909

e440fd3d21e8bbe391363a5b0c5e0e7e3b89b218

helpo-api/actividades/services.py

https://github.com/Jumpi96/helpo

@@ -15,7 +15,7 @@ def send_mail_mensaje_evento(mensaje, evento_id): ) for participante in participantes: LogMensaje.objects.create( - colaborador_id=participante.id, mensaje_id=mensaje.id) + usuario_id=participante.id, mensaje_id=mensaje.id) def get_participantes_evento(evento_id):

LogMensaje . objects . create ( colaborador_id = participante . id , mensaje_id = mensaje . id )

LogMensaje . objects . create ( usuario_id = participante . id , mensaje_id = mensaje . id )

CHANGE_KEYWORD_ARGUMENT_USED

[["Update", ["identifier:colaborador_id", 3, 13, 3, 27], "usuario_id"]]

Jumpi96/helpo@e8d20ad43f1d6ca8af3e172d71e294bd10d31909

Fixing bug mensajes

helpo

9d15ddf60a6e7ad5046862623aa9cbde8b95f0d3

de20d5b48cd92aff39020211a3d2bd804f1c7414

helpo-api/actividades/signals/handlers.py

https://github.com/Jumpi96/helpo

@@ -29,7 +29,7 @@ def handle_evento_change_notification(sender, instance, created, **kwags): # Busco la ong dueña del evento - organizacion = User.objects.get(instance.organizacion) + organizacion = User.objects.get(pk=instance.organizacion.id) # Busco todos los usuarios que tengo que notificar users = User.objects.filter(suscripcion__organizacion=organizacion)

organizacion = User . objects . get ( instance . organizacion )

organizacion = User . objects . get ( pk = instance . organizacion . id )

SINGLE_STMT

[["Insert", ["argument_list", 1, 36, 1, 59], ["keyword_argument", "N0"], 1], ["Insert", "N0", ["identifier:pk", "T"], 0], ["Insert", "N0", ["=:=", "T"], 1], ["Insert", "N0", ["attribute", "N1"], 2], ["Move", "N1", ["attribute", 1, 37, 1, 58], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:id", "T"], 2]]

Jumpi96/helpo@9d15ddf60a6e7ad5046862623aa9cbde8b95f0d3

Fixee un error al buscar la organizacion en la signalHandler

scikit-image

fad2813dd8e6fb50e6552a5fbadf1b5e9635f267

bca962cc8ad765d0e3b8bd97ddd1b025dc827735

skimage/filter/lpi_filter.py

https://github.com/matsuken92/scikit-image

@@ -75,7 +75,7 @@ class LPIFilter2D(object): - if impulse_response is None: + if not callable(impulse_response): raise ValueError("Impulse response must be a callable.") self.impulse_response = impulse_response

if impulse_response is None : raise ValueError ( "Impulse response must be a callable." )

if not callable ( impulse_response ) : raise ValueError ( "Impulse response must be a callable." )

SINGLE_STMT

[["Insert", ["if_statement", 0, 9, 1, 69], ["not_operator", "N0"], 1], ["Insert", "N0", ["not:not", "T"], 0], ["Insert", "N0", ["call", "N1"], 1], ["Insert", "N1", ["identifier:callable", "T"], 0], ["Insert", "N1", ["argument_list", "N2"], 1], ["Insert", "N2", ["(:(", "T"], 0], ["Move", "N2", ["identifier:impulse_response", 0, 12, 0, 28], 1], ["Insert", "N2", ["):)", "T"], 2], ["Delete", ["is:is", 0, 29, 0, 31]], ["Delete", ["none:None", 0, 32, 0, 36]], ["Delete", ["comparison_operator", 0, 12, 0, 36]]]

matsuken92/scikit-image@fad2813dd8e6fb50e6552a5fbadf1b5e9635f267

Fix callable test in LPI filter

scikit-image

d1629aec0f1a861106d54cb015b238e7fe542936

00dbb5e4e3017514f41ecbd40b00cfc53ec11916

skimage/measure/_polygon.py

https://github.com/matsuken92/scikit-image

@@ -28,7 +28,7 @@ def approximate_polygon(coords, tolerance): - if tolerance == 0: + if tolerance <= 0: return coords chain = np.zeros(coords.shape[0], 'bool')

if tolerance == 0 : return coords

if tolerance <= 0 : return coords

CHANGE_BINARY_OPERATOR

[["Insert", ["comparison_operator", 0, 8, 0, 22], ["<=:<=", "T"], 1], ["Delete", ["==:==", 0, 18, 0, 20]]]

matsuken92/scikit-image@d1629aec0f1a861106d54cb015b238e7fe542936

Fix polygon approximation for 0 or less tolerance

scikit-image

bc745e833aa6f983a2d28f67b0b0f22ead798be1

88d1b85bcf3614f49c70d997abebebd7a5f20b35

skimage/__init__.py

https://github.com/matsuken92/scikit-image

@@ -65,7 +65,7 @@ except ImportError: def _setup_test(verbose=False): import functools - args = ['', '--exe', '-w', pkg_dir] + args = ['', pkg_dir, '--exe'] if verbose: args.extend(['-v', '-s'])

args = [ '' , '--exe' , '-w' , pkg_dir ]

args = [ '' , pkg_dir , '--exe' ]

SINGLE_STMT

[["Move", ["string:'--exe'", 3, 17, 3, 24], ["list", 3, 12, 3, 40], 6], ["Move", [",:,", 3, 24, 3, 25], ["list", 3, 12, 3, 40], 7], ["Delete", ["string:'-w'", 3, 26, 3, 30]], ["Delete", [",:,", 3, 30, 3, 31]]]

matsuken92/scikit-image@bc745e833aa6f983a2d28f67b0b0f22ead798be1

BUG: Pass package directory as positional argument to nose.run When the package directory is passed to nosetest via the "where" argument (-w), that directory becomes the working directory. This causes problems because `skimage.io` will take precedence over the builtin `io` package.

scikit-image

7741d906ed1bb5f827f1166e63993ed379c00ea9

c17ffe6c32707594d07a15c1e89b270afe34a4b3

skimage/measure/tests/test_regionprops.py

https://github.com/matsuken92/scikit-image

@@ -248,7 +248,7 @@ def test_perimeter(): per = regionprops(SAMPLE, ['Perimeter'])[0]['Perimeter'] assert_almost_equal(per, 59.2132034355964) - per = perimeter(SAMPLE, neighbourhood=8) + per = perimeter(SAMPLE.astype('double'), neighbourhood=8) assert_almost_equal(per, 43.1213203436)

per = perimeter ( SAMPLE , neighbourhood = 8 )

per = perimeter ( SAMPLE . astype ( 'double' ) , neighbourhood = 8 )

ADD_METHOD_CALL

[["Insert", ["argument_list", 3, 20, 3, 45], ["call", "N0"], 1], ["Insert", "N0", ["attribute", "N1"], 0], ["Insert", "N0", ["argument_list", "N2"], 1], ["Move", "N1", ["identifier:SAMPLE", 3, 21, 3, 27], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:astype", "T"], 2], ["Insert", "N2", ["(:(", "T"], 0], ["Insert", "N2", ["string:'double'", "T"], 1], ["Insert", "N2", ["):)", "T"], 2]]

matsuken92/scikit-image@7741d906ed1bb5f827f1166e63993ed379c00ea9

Fix failing perimeter test caused by bug in scipy

scikit-image

1221a98a4252bdc09146d6b301803610519c6194

ee098224ebcb7b83e6384d2b73b6f6b2180e4b37

skimage/transform/hough_transform.py

https://github.com/matsuken92/scikit-image

@@ -258,4 +258,4 @@ def hough_peaks(hspace, angles, dists, min_distance=10, min_angle=10, dist_peaks = dist_peaks[idx_maxsort] angle_peaks = angle_peaks[idx_maxsort] - return hspace_peaks, dist_peaks, angle_peaks + return hspace_peaks, angle_peaks, dist_peaks

return hspace_peaks , dist_peaks , angle_peaks

return hspace_peaks , angle_peaks , dist_peaks

SINGLE_STMT

[["Move", ["identifier:dist_peaks", 3, 26, 3, 36], ["expression_list", 3, 12, 3, 49], 4], ["Move", [",:,", 3, 36, 3, 37], ["expression_list", 3, 12, 3, 49], 5]]

matsuken92/scikit-image@1221a98a4252bdc09146d6b301803610519c6194

Fix ordering of return values

scikit-image

22a73fc0cb8ab7c11d0aaf37c19caf7ad2257d57

80a9a5aba5f6e629219acb0bd44a35567e00b5c7

check_bento_build.py

https://github.com/matsuken92/scikit-image

@@ -5,7 +5,7 @@ import os import re -RE_CYTHON = re.compile("config.add_extension\(['\"]([\S]+)['\"]") +RE_CYTHON = re.compile("config.add_extension\(\s*['\"]([\S]+)['\"]")

RE_CYTHON = re . compile ( "config.add_extension\(['\"]([\S]+)['\"]" )

RE_CYTHON = re . compile ( "config.add_extension\(\s*['\"]([\S]+)['\"]" )

CHANGE_STRING_LITERAL

[["Update", ["string:\"config.add_extension\\(['\\\"]([\\S]+)['\\\"]\"", 3, 24, 3, 65], "\"config.add_extension\\(\\s*['\\\"]([\\S]+)['\\\"]\""]]

matsuken92/scikit-image@22a73fc0cb8ab7c11d0aaf37c19caf7ad2257d57

BUG: Adapt to whitespace in text search

scikit-image

e7288f9140b1a1a8a545f19434ec5805006b4a1a

da5a2a82213e01fc9b9d98f31cf740c6d3aa7767

skimage/feature/peak.py

https://github.com/matsuken92/scikit-image

@@ -129,7 +129,7 @@ def peak_local_max(image, min_distance=10, threshold_abs=0, threshold_rel=0.1, if indices is True: return [] else: - return np.zeros_like(image) + return np.zeros_like(image, dtype=bool) image = image.copy() # Non maximum filter

return np . zeros_like ( image )

return np . zeros_like ( image , dtype = bool )

SAME_FUNCTION_MORE_ARGS

[["Insert", ["argument_list", 3, 33, 3, 40], [",:,", "T"], 2], ["Insert", ["argument_list", 3, 33, 3, 40], ["keyword_argument", "N0"], 3], ["Insert", "N0", ["identifier:dtype", "T"], 0], ["Insert", "N0", ["=:=", "T"], 1], ["Insert", "N0", ["identifier:bool", "T"], 2]]

matsuken92/scikit-image@e7288f9140b1a1a8a545f19434ec5805006b4a1a

BUG - Dtype conversion to Boolean in a new code path not included in current tests.

scikit-image

22f94d8707d3d9d2a36493403cbaeb61213dd68b

a77923fe4cb95a7223b86bbdcaa6b7489559f2c2

skimage/transform/_warps.py

https://github.com/matsuken92/scikit-image

@@ -163,7 +163,7 @@ def rotate(image, angle, resize=False, order=1, mode='constant', cval=0.): tform = tform1 + tform2 + tform3 output_shape = None - if not resize: + if resize: # determine shape of output image corners = np.array([[1, 1], [1, rows], [cols, rows], [cols, 1]]) corners = tform(corners - 1)

if not resize : corners = np . array ( [ [ 1 , 1 ] , [ 1 , rows ] , [ cols , rows ] , [ cols , 1 ] ] ) corners = tform ( corners - 1 )

if resize : corners = np . array ( [ [ 1 , 1 ] , [ 1 , rows ] , [ cols , rows ] , [ cols , 1 ] ] ) corners = tform ( corners - 1 )

CHANGE_UNARY_OPERATOR

[["Move", ["if_statement", 3, 5, 6, 37], ["identifier:resize", 3, 12, 3, 18], 1], ["Delete", ["not:not", 3, 8, 3, 11]], ["Delete", ["not_operator", 3, 8, 3, 18]]]

matsuken92/scikit-image@22f94d8707d3d9d2a36493403cbaeb61213dd68b

Fix resize argument handling in rotate. It used to have exactly the opposite effect that it supposed to.

scikit-image

bf28a38f6e50e3bf806b07b533683a76ebdfbd84

a77923fe4cb95a7223b86bbdcaa6b7489559f2c2

skimage/segmentation/boundaries.py

https://github.com/matsuken92/scikit-image

@@ -13,7 +13,7 @@ def find_boundaries(label_img): return boundaries -def mark_boundaries(image, label_img, color=(1, 1, 0), outline_color=None): +def mark_boundaries(image, label_img, color=(1, 1, 0), outline_color=(0, 0, 0)):

def mark_boundaries ( image , label_img , color = ( 1 , 1 , 0 ) , outline_color = None ) :

def mark_boundaries ( image , label_img , color = ( 1 , 1 , 0 ) , outline_color = ( 0 , 0 , 0 ) ) :

SINGLE_STMT

[["Insert", ["default_parameter", 3, 56, 3, 74], ["tuple", "N0"], 2], ["Insert", "N0", ["(:(", "T"], 0], ["Insert", "N0", ["integer:0", "T"], 1], ["Insert", "N0", [",:,", "T"], 2], ["Insert", "N0", ["integer:0", "T"], 3], ["Insert", "N0", [",:,", "T"], 4], ["Insert", "N0", ["integer:0", "T"], 5], ["Insert", "N0", ["):)", "T"], 6], ["Delete", ["none:None", 3, 70, 3, 74]]]

matsuken92/scikit-image@bf28a38f6e50e3bf806b07b533683a76ebdfbd84

ENH: Make black the default boundary color for mark_boundaries. This improves visibility in light-colored image regions. Note also that the new behavior matches the behavior from the 0.7 release.

scikit-image

32cbf8e22609d97d801ab9967e307231107d2a68

5b72c5d52c1ce3e4cd8f810a1d4adbb863fc6846

skimage/feature/corner.py

https://github.com/matsuken92/scikit-image

@@ -325,7 +325,7 @@ def corner_subpix(image, corners, window_size=11, alpha=0.99): image : ndarray Input image. corners : (N, 2) ndarray - Corner coordinates `(row, cols)`. + Corner coordinates `(row, col)`. window_size : int, optional Search window size for subpixel estimation. alpha : float, optional

`(row, cols)` . window_size : int , optional

`(row, col)` . window_size : int , optional

CHANGE_STRING_LITERAL

[["Update", ["string:`(row, cols)`", 3, 28, 3, 41], "`(row, col)`"]]

matsuken92/scikit-image@32cbf8e22609d97d801ab9967e307231107d2a68

Fix typo in doc string

scikit-image

9adae8b0c231fe79a6599946b2ebc4f2aebc4acf

0e34c91e37f7ffbe401012a7f8a161bc95ce7fea

skimage/exposure/tests/test_exposure.py

https://github.com/matsuken92/scikit-image

@@ -101,7 +101,7 @@ def test_adapthist_grayscale(): nbins=128) assert_almost_equal = np.testing.assert_almost_equal assert img.shape == adapted.shape - assert_almost_equal(peak_snr(img, adapted), 77.584, 5) + assert_almost_equal(peak_snr(img, adapted), 77.584, 3) assert_almost_equal(norm_brightness_err(img, adapted), 0.038, 3) return data, adapted

assert_almost_equal ( peak_snr ( img , adapted ) , 77.584 , 5 )

assert_almost_equal ( peak_snr ( img , adapted ) , 77.584 , 3 )

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:5", 3, 57, 3, 58], "3"]]

matsuken92/scikit-image@9adae8b0c231fe79a6599946b2ebc4f2aebc4acf

Fixed last remaining sig figure problem.

scikit-image

67aada9adcea8e77e25f30d07cd23bc090920119

ece045790e523b402fddd8014daeef9b54230ff7

skimage/viewer/plugins/lineprofile.py

https://github.com/matsuken92/scikit-image

@@ -34,7 +34,7 @@ class LineProfile(PlotPlugin): name = 'Line Profile' - def __init__(self, linewidth=1, maxdist=5, epsilon='deprecated', + def __init__(self, linewidth=1, maxdist=10, epsilon='deprecated', limits='image', **kwargs): super(LineProfile, self).__init__(**kwargs)

def __init__ ( self , linewidth = 1 , maxdist = 5 , epsilon = 'deprecated' , limits = 'image' , ** kwargs ) : super ( LineProfile , self ) . __init__ ( ** kwargs )

def __init__ ( self , linewidth = 1 , maxdist = 10 , epsilon = 'deprecated' , limits = 'image' , ** kwargs ) : super ( LineProfile , self ) . __init__ ( ** kwargs )

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:5", 2, 45, 2, 46], "10"]]

matsuken92/scikit-image@67aada9adcea8e77e25f30d07cd23bc090920119

ENH: Increase default selection threshold for ease of use

scikit-image

04434b008f55e0b7314a5fcf09c2ce013a32cb0d

1aafdeb7d4c681adfb3523dbb163f2830136d838

skimage/viewer/viewers/core.py

https://github.com/matsuken92/scikit-image

@@ -139,7 +139,7 @@ class ImageViewer(QMainWindow): self._image_plot.set_array(image) # Adjust size if new image shape doesn't match the original - h, w = image.shape + h, w = image.shape[:2] # update data coordinates (otherwise pixel coordinates are off) self._image_plot.set_extent((0, w, h, 0)) # update display (otherwise image doesn't fill the canvas)

h , w = image . shape

h , w = image . shape [ : 2 ]

SINGLE_STMT

[["Insert", ["assignment", 3, 9, 3, 27], ["subscript", "N0"], 2], ["Move", "N0", ["attribute", 3, 16, 3, 27], 0], ["Insert", "N0", ["[:[", "T"], 1], ["Insert", "N0", ["slice", "N1"], 2], ["Insert", "N0", ["]:]", "T"], 3], ["Insert", "N1", [":::", "T"], 0], ["Insert", "N1", ["integer:2", "T"], 1]]

matsuken92/scikit-image@04434b008f55e0b7314a5fcf09c2ce013a32cb0d

BUG: Fix image viewer for RGB images

scikit-image

cfe9e7def9454373a46026bcd201bbbcdb9054d7

43fecd0cb828dd0bb150b576d795fa24f1cf47bb

skimage/viewer/plugins/measure.py

https://github.com/matsuken92/scikit-image

@@ -41,7 +41,7 @@ class Measure(Plugin): self.line_changed(np.transpose((x, y))) def help(self): - helpstr = ("Line profile tool", + helpstr = ("Measure tool", "Select line to measure distance and angle.") return '\n'.join(helpstr)

helpstr = ( "Line profile tool" , "Select line to measure distance and angle." )

helpstr = ( "Measure tool" , "Select line to measure distance and angle." )

CHANGE_STRING_LITERAL

[["Update", ["string:\"Line profile tool\"", 3, 20, 3, 39], "\"Measure tool\""]]

matsuken92/scikit-image@cfe9e7def9454373a46026bcd201bbbcdb9054d7

Fix typo

scikit-image

67042858599cba303fd8a33c895f946132641661

2532c659ec0144fcdd87e2f9b4a963bfa61d9f4e

skimage/viewer/canvastools/recttool.py

https://github.com/matsuken92/scikit-image

@@ -11,7 +11,7 @@ from skimage.viewer.canvastools.base import ToolHandles __all__ = ['RectangleTool'] -class RectangleTool(RectangleSelector, CanvasToolBase): +class RectangleTool(CanvasToolBase, RectangleSelector):

class RectangleTool ( RectangleSelector , CanvasToolBase ) :

class RectangleTool ( CanvasToolBase , RectangleSelector ) :

SINGLE_STMT

[["Move", ["identifier:RectangleSelector", 3, 21, 3, 38], ["argument_list", 3, 20, 3, 55], 3], ["Move", [",:,", 3, 38, 3, 39], ["argument_list", 3, 20, 3, 55], 4]]

matsuken92/scikit-image@67042858599cba303fd8a33c895f946132641661

BUG: Fix MRO bug when matplotlib not installed

scikit-image

244e68c232ced5fd58eb6347aa1d94e64cc61dbd

67042858599cba303fd8a33c895f946132641661

skimage/viewer/canvastools/linetool.py

https://github.com/matsuken92/scikit-image

@@ -73,7 +73,7 @@ class LineTool(CanvasToolBase): @end_points.setter def end_points(self, pts): - self._end_pts = pts + self._end_pts = np.asarray(pts) self._line.set_data(np.transpose(pts)) self._handles.set_data(np.transpose(pts))

self . _end_pts = pts

self . _end_pts = np . asarray ( pts )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["assignment", 3, 9, 3, 28], ["call", "N0"], 2], ["Insert", "N0", ["attribute", "N1"], 0], ["Insert", "N0", ["argument_list", "N2"], 1], ["Insert", "N1", ["identifier:np", "T"], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:asarray", "T"], 2], ["Insert", "N2", ["(:(", "T"], 0], ["Move", "N2", ["identifier:pts", 3, 25, 3, 28], 1], ["Insert", "N2", ["):)", "T"], 2]]

matsuken92/scikit-image@244e68c232ced5fd58eb6347aa1d94e64cc61dbd

BUG: fix end_points setter when given a tuple Dragging of end points was broken.

scikit-image

e0f4cd097817342ed0ed5cf4b40bd429f8782221

450eaee4d9d16a77331354c9adc7a4456fe01dd1

skimage/__init__.py

https://github.com/matsuken92/scikit-image

@@ -71,7 +71,7 @@ except ImportError: """This would invoke the skimage test suite, but nose couldn't be imported so the test suite can not run. """ - raise ImportError("Could not load nose. Unit tests not available.") + raise ImportError("Could not load nose. Unit tests not available.") else: def test(verbose=False): """Invoke the skimage test suite."""

raise ImportError ( "Could not load nose. Unit tests not available." )

raise ImportError ( "Could not load nose. Unit tests not available." )

CHANGE_STRING_LITERAL

[["Update", ["string:\"Could not load nose. Unit tests not available.\"", 3, 27, 3, 76], "\"Could not load nose. Unit tests not available.\""]]

matsuken92/scikit-image@e0f4cd097817342ed0ed5cf4b40bd429f8782221

Fix double space in warning message

scikit-image

1fd4042ee6e881e3f1eeb81cd3e9b45634afdac5

70f1e6dd486bdd0ef21ae83d16d886d2e4fd5a68

skimage/viewer/widgets/history.py

https://github.com/matsuken92/scikit-image

@@ -2,7 +2,7 @@ import os from textwrap import dedent try: - from PyQt4 import QtGui + from PyQt4 import QtGui, QtCore except ImportError: print("Could not import PyQt4 -- skimage.viewer not available.")

from PyQt4 import QtGui

from PyQt4 import QtGui , QtCore

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 5, 3, 28], [",:,", "T"], 4], ["Insert", ["import_from_statement", 3, 5, 3, 28], ["dotted_name", "N0"], 5], ["Insert", "N0", ["identifier:QtCore", "T"], 0]]

matsuken92/scikit-image@1fd4042ee6e881e3f1eeb81cd3e9b45634afdac5

BUG: Added required QtCore import

scikit-image

c276ec06342b194fffb2cfd5efa4a87416bfcbaa

3b43cf0dcfa96b453c7ab3f3b47d4ea9475ae567

skimage/feature/_daisy.py

https://github.com/matsuken92/scikit-image

@@ -1,7 +1,7 @@ import numpy as np from scipy import sqrt, pi, arctan2, cos, sin, exp from scipy.ndimage import gaussian_filter -import skimage +import skimage.color from skimage import img_as_float, draw

import skimage

import skimage . color

SINGLE_STMT

[["Insert", ["dotted_name", 3, 8, 3, 15], [".:.", "T"], 1], ["Insert", ["dotted_name", 3, 8, 3, 15], ["identifier:color", "T"], 2]]

matsuken92/scikit-image@c276ec06342b194fffb2cfd5efa4a87416bfcbaa

Fixed submodule import.

scikit-image

06a8e7af85c0233541bc2b3f3692adfa1a9fc60e

0e08acd7c96049aa3c04e6c701a6ff80aa55ca37

skimage/viewer/widgets/history.py

https://github.com/matsuken92/scikit-image

@@ -74,7 +74,7 @@ class SaveButtons(BaseWidget): self.layout.addWidget(self.save_file) def save_to_stack(self): - image = self.plugin.image_viewer.image.copy() + image = self.plugin.filtered_image.copy() io.push(image)

image = self . plugin . image_viewer . image . copy ( )

image = self . plugin . filtered_image . copy ( )

SINGLE_STMT

[["Update", ["identifier:image_viewer", 3, 29, 3, 41], "filtered_image"], ["Delete", [".:.", 3, 41, 3, 42]], ["Delete", ["identifier:image", 3, 42, 3, 47]]]

matsuken92/scikit-image@06a8e7af85c0233541bc2b3f3692adfa1a9fc60e

BUG: Fix save to stack so it saves filtered image

scikit-image

42068041750e9ef0c7799e9177917465d8225854

8d8b8ef4f74c00fbfb21bf1f603a3841f96a0b4a

skimage/feature/_daisy.py

https://github.com/matsuken92/scikit-image

@@ -1,7 +1,7 @@ import numpy as np from scipy import sqrt, pi, arctan2, cos, sin, exp from scipy.ndimage import gaussian_filter -import skimage +import skimage.color from skimage import img_as_float, draw

import skimage

import skimage . color

SINGLE_STMT

[["Insert", ["dotted_name", 3, 8, 3, 15], [".:.", "T"], 1], ["Insert", ["dotted_name", 3, 8, 3, 15], ["identifier:color", "T"], 2]]

matsuken92/scikit-image@42068041750e9ef0c7799e9177917465d8225854

Fixed submodule import.

scikit-image

713e5dc734f817601ea4c68c04b918161d1a70fa

eff906bfb3f9dc47a32578d30231ca856372b966

skimage/exposure/_adapthist.py

https://github.com/matsuken92/scikit-image

@@ -226,7 +226,7 @@ def clip_histogram(hist, clip_limit): n_excess = excess.sum() - excess.size * clip_limit # Second part: clip histogram and redistribute excess pixels in each bin - bin_incr = n_excess / hist.size # average binincrement + bin_incr = int(n_excess / hist.size) # average binincrement upper = clip_limit - bin_incr # Bins larger than upper set to cliplimit hist[excess_mask] = clip_limit

bin_incr = n_excess / hist . size

bin_incr = int ( n_excess / hist . size )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["assignment", 3, 5, 3, 36], ["call", "N0"], 2], ["Insert", "N0", ["identifier:int", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Move", "N1", ["binary_operator", 3, 16, 3, 36], 1], ["Insert", "N1", ["):)", "T"], 2]]

matsuken92/scikit-image@713e5dc734f817601ea4c68c04b918161d1a70fa

BUG: Adapthist error caused by divisor operator change in py3k

scikit-image

67b408a3fc0de4365884b10bf0ed20f9efc8f209

830c6b650b8aad4c1a1a79842233515d053ebef3

skimage/feature/greycomatrix.py

https://github.com/matsuken92/scikit-image

@@ -107,7 +107,7 @@ def greycomatrix(image, distances, angles, levels=256, symmetric=False, # GLCMs are sometimes all zero, so temporarily suppress warning old_settings = np.seterr(invalid='ignore') P /= glcm_sums - np.seterr(invalid=old_settings['divide']) + np.seterr(invalid=old_settings['invalid']) P = np.nan_to_num(P) else: P /= glcm_sums

np . seterr ( invalid = old_settings [ 'divide' ] )

np . seterr ( invalid = old_settings [ 'invalid' ] )

CHANGE_STRING_LITERAL

[["Update", ["string:'divide'", 3, 44, 3, 52], "'invalid'"]]

matsuken92/scikit-image@67b408a3fc0de4365884b10bf0ed20f9efc8f209

BUG: Fixed warning suppression error

scikit-image

2d4abbaa8655bea8ccdfb8151e634ac685dacac8

c0b36010562000b6fd9f0c095fe6828d6d4a2cd6

skimage/io/collection.py

https://github.com/matsuken92/scikit-image

@@ -8,7 +8,7 @@ from glob import glob import os.path import numpy as np -from io import imread +from ._io import imread class MultiImage(object):

from io import imread

from . _io import imread

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 1, 3, 22], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 3, 6, 3, 8], 1], ["Insert", "N1", [".:.", "T"], 0], ["Update", ["identifier:io", 3, 6, 3, 8], "_io"]]

matsuken92/scikit-image@2d4abbaa8655bea8ccdfb8151e634ac685dacac8

BUG: Import imread from renamed _io module.

scikit-image

cd6d97012ffef2a1d442ed64c7567d4e94dae4a9

85531c6ffa002a4ca1a38941b91db3b78eb8ffa4

skimage/measure/find_contours.py

https://github.com/matsuken92/scikit-image

@@ -1,5 +1,5 @@ import numpy as np -import _find_contours +from . import _find_contours from collections import deque

import _find_contours

from . import _find_contours

SINGLE_STMT

[["Insert", ["module", 0, 1, 5, 0], ["import_from_statement", "N0"], 1], ["Insert", "N0", ["from:from", "T"], 0], ["Insert", "N0", ["relative_import", "N1"], 1], ["Move", "N0", ["import:import", 1, 1, 1, 7], 2], ["Move", "N0", ["dotted_name", 1, 8, 1, 22], 3], ["Insert", "N1", ["import_prefix", "N2"], 0], ["Insert", "N2", [".:.", "T"], 0], ["Delete", ["import_statement", 1, 1, 1, 22]]]

matsuken92/scikit-image@cd6d97012ffef2a1d442ed64c7567d4e94dae4a9

Fix ImportError on Python 3

scikit-image

9133ab932c2761f7f7cbf1fa209c61599b46b58a

cd6d97012ffef2a1d442ed64c7567d4e94dae4a9

skimage/feature/greycomatrix.py

https://github.com/matsuken92/scikit-image

@@ -6,7 +6,7 @@ properties to characterize image textures. import numpy as np import skimage.util -from _greycomatrix import _glcm_loop +from ._greycomatrix import _glcm_loop def greycomatrix(image, distances, angles, levels=256, symmetric=False,

from _greycomatrix import _glcm_loop

from . _greycomatrix import _glcm_loop

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 1, 3, 37], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 3, 6, 3, 19], 1], ["Insert", "N1", [".:.", "T"], 0]]

matsuken92/scikit-image@9133ab932c2761f7f7cbf1fa209c61599b46b58a

Fix ImportError on Python 3

scikit-image

14c89fefa54f9ae963f4d4a47ded6e02f3b596d5

9133ab932c2761f7f7cbf1fa209c61599b46b58a

skimage/morphology/skeletonize.py

https://github.com/matsuken92/scikit-image

@@ -5,7 +5,7 @@ Algorithms for computing the skeleton of a binary image import numpy as np from scipy import ndimage -from _skeletonize import _skeletonize_loop, _table_lookup_index +from ._skeletonize import _skeletonize_loop, _table_lookup_index # --------- Skeletonization by morphological thinning ---------

from _skeletonize import _skeletonize_loop , _table_lookup_index

from . _skeletonize import _skeletonize_loop , _table_lookup_index

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 1, 3, 64], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 3, 6, 3, 18], 1], ["Insert", "N1", [".:.", "T"], 0]]

matsuken92/scikit-image@14c89fefa54f9ae963f4d4a47ded6e02f3b596d5

Fix ImportError on Python 3

scikit-image

e7d37997d92b911dd2662112474e8574246e513a

6a6e273d0679e35237db877056b4e85e8ca41e56

skimage/thresholding/thresholding.py

https://github.com/matsuken92/scikit-image

@@ -28,7 +28,7 @@ def threshold_otsu(image, bins=256): -------- >>> from skimage.data import camera >>> image = camera() - >>> thresh = threshold_otsu(camera()) + >>> thresh = threshold_otsu(image) >>> binary = image > thresh

thresh = threshold_otsu ( camera ( ) )

thresh = threshold_otsu ( image )

SINGLE_STMT

[["Update", ["identifier:camera", 3, 33, 3, 39], "image"], ["Move", ["argument_list", 3, 32, 3, 42], ["identifier:camera", 3, 33, 3, 39], 1], ["Move", ["argument_list", 3, 32, 3, 42], ["):)", 3, 40, 3, 41], 2], ["Delete", ["(:(", 3, 39, 3, 40]], ["Delete", ["argument_list", 3, 39, 3, 41]], ["Delete", ["call", 3, 33, 3, 41]], ["Delete", ["):)", 3, 41, 3, 42]]]

matsuken92/scikit-image@e7d37997d92b911dd2662112474e8574246e513a

Fix minor typo in docstring example

scikit-image

4df36631f64285b88bdfd044a64a34547b152b17

c7b3f1e84c435630760bc4a0743e7ef15d708017

skimage/io/_plugins/util.py

https://github.com/matsuken92/scikit-image

@@ -213,7 +213,7 @@ class ThreadDispatch(object): self.chunks.append((img[(height/2):, :, :], stateimg[(height/2):, :, :])) - for i in range(self.cores): + for i in range(len(self.chunks)): self.threads.append(ImgThread(func, self.chunks[i][0], self.chunks[i][1], *args))

for i in range ( self . cores ) : self . threads . append ( ImgThread ( func , self . chunks [ i ] [ 0 ] , self . chunks [ i ] [ 1 ] , * args ) )

for i in range ( len ( self . chunks ) ) : self . threads . append ( ImgThread ( func , self . chunks [ i ] [ 0 ] , self . chunks [ i ] [ 1 ] , * args ) )

SINGLE_STMT

[["Insert", ["argument_list", 3, 23, 3, 35], ["call", "N0"], 1], ["Insert", ["argument_list", 3, 23, 3, 35], ["):)", "T"], 2], ["Insert", "N0", ["identifier:len", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Move", "N1", ["attribute", 3, 24, 3, 34], 1], ["Move", "N1", ["):)", 3, 34, 3, 35], 2], ["Update", ["identifier:cores", 3, 29, 3, 34], "chunks"]]

matsuken92/scikit-image@4df36631f64285b88bdfd044a64a34547b152b17

BUG: Dispatch threads to process entire image.

scikit-image

69444305e868890f36b997bf5ee15162839d0478

111a3c1584b51db32e21207825d6b1fdba0b303a

skimage/transform/hough_transform.py

https://github.com/matsuken92/scikit-image

@@ -66,15 +66,15 @@ def probabilistic_hough(img, threshold=10, line_length=50, line_gap=10, theta=No ---------- img : (M, N) ndarray Input image with nonzero values representing edges. - value_threshold: int + threshold : int Threshold - line_length: int, optional (default 50) + line_length : int, optional (default 50) Minimum accepted length of detected lines. Increase the parameter to extract longer lines. - line_gap: int, optional, (default 10) + line_gap : int, optional, (default 10) Maximum gap between pixels to still form a line. Increase the parameter to merge broken lines more aggresively. - theta :1D ndarray, dtype=double, optional, default (-pi/2 .. pi/2) + theta : 1D ndarray, dtype=double, optional, default (-pi/2 .. pi/2) Angles at which to compute the transform, in radians. Returns

with nonzero values representing edges . value_threshold : int

with nonzero values representing edges . threshold : int

CHANGE_ATTRIBUTE_USED

[["Update", ["identifier:value_threshold", 3, 5, 3, 20], "threshold"]]

matsuken92/scikit-image@69444305e868890f36b997bf5ee15162839d0478

DOC: fix probabilistic_hough docstring--use correct keyword arg in the docstring, plus a few spacing tweaks.

scikit-image

a4c986b02ff636d6414bbdff8c346a2e0b0a0d2b

b5dce45446732a0b182924622b6e60e035eb379d

skimage/io/_plugins/freeimage_plugin.py

https://github.com/matsuken92/scikit-image

@@ -391,7 +391,7 @@ def _process_multipage(filename, flags, process_func): def read_multipage(filename, flags=0): """Read a multipage image to a list of numpy arrays, where each array is of shape (width, height) for greyscale images, or shape - (nchannels, width, height) for RGB or RGBA images. + (width, height, nchannels) for RGB or RGBA images. """ return _process_multipage(filename, flags, _array_from_bitmap)

"""Read a multipage image to a list of numpy arrays, where each array is of shape (width, height) for greyscale images, or shape (nchannels, width, height) for RGB or RGBA images. """

"""Read a multipage image to a list of numpy arrays, where each array is of shape (width, height) for greyscale images, or shape (width, height, nchannels) for RGB or RGBA images. """

CHANGE_STRING_LITERAL

[["Update", ["string:\"\"\"Read a multipage image to a list of numpy arrays, where each\n array is of shape (width, height) for greyscale images, or shape\n (nchannels, width, height) for RGB or RGBA images.\n \"\"\"", 1, 5, 4, 8], "\"\"\"Read a multipage image to a list of numpy arrays, where each\n array is of shape (width, height) for greyscale images, or shape\n (width, height, nchannels) for RGB or RGBA images.\n \"\"\""]]

matsuken92/scikit-image@a4c986b02ff636d6414bbdff8c346a2e0b0a0d2b

DOC: Fix read_multipage docstring

scikit-image

63f17344e59f0fa27920a9221ddb28fe64dec0b7

fd0e88b9867b1f398912c8a6cd309c26d0d566db

skimage/filter/harris.py

https://github.com/matsuken92/scikit-image

@@ -103,7 +103,7 @@ def harris(image, min_distance=10, threshold=0.1, eps=1e-6, candidate_values = harrisim[candidates] # sort candidates - index = np.argsort(candidate_values) + index = np.argsort(candidate_values)[::-1] # store allowed point locations in array allowed_locations = np.zeros(harrisim.shape)

index = np . argsort ( candidate_values )

index = np . argsort ( candidate_values ) [ : : - 1 ]

SINGLE_STMT

[["Insert", ["assignment", 3, 5, 3, 41], ["subscript", "N0"], 2], ["Move", "N0", ["call", 3, 13, 3, 41], 0], ["Insert", "N0", ["[:[", "T"], 1], ["Insert", "N0", ["slice", "N1"], 2], ["Insert", "N0", ["]:]", "T"], 3], ["Insert", "N1", [":::", "T"], 0], ["Insert", "N1", [":::", "T"], 1], ["Insert", "N1", ["unary_operator", "N2"], 2], ["Insert", "N2", ["-:-", "T"], 0], ["Insert", "N2", ["integer:1", "T"], 1]]

matsuken92/scikit-image@63f17344e59f0fa27920a9221ddb28fe64dec0b7

Fix peak detection algorithm. Reverse sorted values so that max peak is checked first.

scikit-image

078ed488c8703c103fda1bac3513c8b5b4218095

cfc1dfa16b1e94dba42f2f5766a41cbbede03f7d

skimage/util/dtype.py

https://github.com/matsuken92/scikit-image

@@ -120,7 +120,7 @@ def _convert(image, dtype): # int8 -> uint32 image = dtype(image) image *= 2**16 + 2**8 + 1 - result += image + result += dtype(image) return result if kind == 'i': # signed integer -> signed integer

result += image

result += dtype ( image )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["augmented_assignment", 3, 9, 3, 24], ["call", "N0"], 2], ["Insert", "N0", ["identifier:dtype", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Move", "N1", ["identifier:image", 3, 19, 3, 24], 1], ["Insert", "N1", ["):)", "T"], 2]]

matsuken92/scikit-image@078ed488c8703c103fda1bac3513c8b5b4218095

Fix casting error when converting from int8 to uint16. This error only comes up in development versions of numpy, which refuses to cast the input to the correct type for inplace operations.

scikit-image

a17f339b82b7c502cbc3ce5e4d4a391d1ab5b193

c85ab6906490b86e54cfd59632fecc06a053d311

skimage/feature/__init__.py

https://github.com/matsuken92/scikit-image

@@ -1,4 +1,4 @@ from hog import hog from greycomatrix import greycomatrix, greycoprops from peak import peak_local_max -from harris import harris +from .harris import harris

from harris import harris

from . harris import harris

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 1, 3, 26], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 3, 6, 3, 12], 1], ["Insert", "N1", [".:.", "T"], 0]]

matsuken92/scikit-image@a17f339b82b7c502cbc3ce5e4d4a391d1ab5b193

BUG: Fix import of harris.

scikit-image

96f5d14000526727b453b50abfd5361a662a9ee7

c1c954e19d4d6e56ecdd405a1b58ad073688b6dc

skimage/version.py

https://github.com/matsuken92/scikit-image

@@ -1,2 +1,2 @@ # THIS FILE IS GENERATED FROM THE SKIMAGE SETUP.PY -version='0.5dev' +version='unbuilt-dev'

version = '0.5dev'

version = 'unbuilt-dev'

CHANGE_STRING_LITERAL

[["Update", ["string:'0.5dev'", 1, 9, 1, 17], "'unbuilt-dev'"]]

matsuken92/scikit-image@96f5d14000526727b453b50abfd5361a662a9ee7

FIX: revert version.py

scikit-image

faf92e1a6d9909b8da6772574993530129242fe8

7c8c661440ba213870927b09c56f818bd0aeacdc

skimage/segmentation/random_walker_segmentation.py

https://github.com/matsuken92/scikit-image

@@ -286,7 +286,7 @@ def random_walker(data, labels, beta=130, mode='bf', tol=1.e-3, copy=True): data = np.atleast_3d(data) if copy: labels = np.copy(labels) - labels = labels.astype(np.int) + labels = labels.astype(np.intp) # If the array has pruned zones, be sure that no isolated pixels # exist between pruned zones (they could not be determined) if np.any(labels < 0):

labels = labels . astype ( np . int )

labels = labels . astype ( np . intp )

CHANGE_ATTRIBUTE_USED

[["Update", ["identifier:int", 3, 31, 3, 34], "intp"]]

matsuken92/scikit-image@faf92e1a6d9909b8da6772574993530129242fe8

Fix TypeError on 64 bit platforms

scikit-image

694fb1a8d702a3c1baff84be1290ae794ee10bcd

02edb162fd9effe5dafcac76955279da41c9107f

skimage/__init__.py

https://github.com/matsuken92/scikit-image

@@ -56,7 +56,7 @@ import os.path as _osp pkg_dir = _osp.abspath(_osp.dirname(__file__)) data_dir = _osp.join(pkg_dir, 'data') -from version import version as __version__ +from .version import version as __version__ def _setup_test(verbose=False): import gzip

from version import version as __version__

from . version import version as __version__

SINGLE_STMT

[["Insert", ["import_from_statement", 3, 1, 3, 43], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 3, 6, 3, 13], 1], ["Insert", "N1", [".:.", "T"], 0]]

matsuken92/scikit-image@694fb1a8d702a3c1baff84be1290ae794ee10bcd

PKG: Fix version import to allow build on 3.2.

scikit-image

7419c682def0e2e1949ec3f93b0cbd7286429b87

f24c9d53ec9149174881e8b2c80441055d2179bf

skimage/util/montage.py

https://github.com/matsuken92/scikit-image

@@ -74,7 +74,7 @@ def montage2d(arr_in, fill='mean', rescale_intensity=False): # -- rescale intensity if necessary if rescale_intensity: - for i in xrange(n_images): + for i in range(n_images): arr_in[i] = exposure.rescale_intensity(arr_in[i]) # -- determine alpha

for i in xrange ( n_images ) : arr_in [ i ] = exposure . rescale_intensity ( arr_in [ i ] )

for i in range ( n_images ) : arr_in [ i ] = exposure . rescale_intensity ( arr_in [ i ] )

WRONG_FUNCTION_NAME

[["Update", ["identifier:xrange", 3, 18, 3, 24], "range"]]

matsuken92/scikit-image@7419c682def0e2e1949ec3f93b0cbd7286429b87

BUG: Fix typo in montage--xrange is no longer supported.

scikit-image

e13cc2541fca5542f86bf6e1b5ee87f4359161c0

7df3707c3398a6015e1cb44488b6cfda0d114549

skimage/transform/project.py

https://github.com/matsuken92/scikit-image

@@ -4,7 +4,7 @@ import numpy as np from scipy.ndimage import interpolation as ndii -from .warp import _stackcopy +from ._warp import _stackcopy __all__ = ['homography']

from . warp import _stackcopy

from . _warp import _stackcopy

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:warp", 3, 7, 3, 11], "_warp"]]

matsuken92/scikit-image@e13cc2541fca5542f86bf6e1b5ee87f4359161c0

BUG: Fix incorrect import.

scikit-image

49349a07c6ca1dd94f157793996597b20704c244

19f1021f60c32ffdb8281768309c7801b604b568

skimage/detection/template.py

https://github.com/matsuken92/scikit-image

@@ -29,7 +29,7 @@ def match_template_cv(image, template, out=None, method="norm-coeff"): dtype=image.dtype) if method == "norm-corr": cv.MatchTemplate(image, template, out, cv.CV_TM_CCORR_NORMED) - elif method == "norm-corr": + elif method == "norm-coeff": cv.MatchTemplate(image, template, out, cv.CV_TM_CCOEFF_NORMED) else: raise ValueError("Unknown template method: %s" % method)

if method == "norm-corr" : cv . MatchTemplate ( image , template , out , cv . CV_TM_CCORR_NORMED ) elif method == "norm-corr" : cv . MatchTemplate ( image , template , out , cv . CV_TM_CCOEFF_NORMED ) else : raise ValueError ( "Unknown template method: %s" % method )

if method == "norm-corr" : cv . MatchTemplate ( image , template , out , cv . CV_TM_CCORR_NORMED ) elif method == "norm-coeff" : cv . MatchTemplate ( image , template , out , cv . CV_TM_CCOEFF_NORMED ) else : raise ValueError ( "Unknown template method: %s" % method )

CHANGE_STRING_LITERAL

[["Update", ["string:\"norm-corr\"", 3, 20, 3, 31], "\"norm-coeff\""]]

matsuken92/scikit-image@49349a07c6ca1dd94f157793996597b20704c244

Fix copy-paste bug

scikit-image

4c3f8a36bad746218a16e29862c0466121be4646

06bd3ebd6fc8807be35ddd41dc88cc9a42c6faa4

doc/examples/plot_match_face_template.py

https://github.com/matsuken92/scikit-image

@@ -32,7 +32,7 @@ ax2.set_axis_off() ax2.set_title('image') # highlight matched region -xy = np.unravel_index(np.argmax(result), image.shape)[::-1] # -1 flips ij to xy +xy = np.unravel_index(np.argmax(result), result.shape)[::-1] #-1 flips ij to xy wface, hface = head.shape rect = plt.Rectangle(xy, wface, hface, edgecolor='r', facecolor='none') ax2.add_patch(rect)

xy = np . unravel_index ( np . argmax ( result ) , image . shape ) [ : : - 1 ]

xy = np . unravel_index ( np . argmax ( result ) , result . shape ) [ : : - 1 ]

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:image", 3, 42, 3, 47], "result"]]

matsuken92/scikit-image@4c3f8a36bad746218a16e29862c0466121be4646

Fix template example.

scikit-image

8dbf6f4c581430ae7393d1ed0c5f0b377ffebd7e

4c3f8a36bad746218a16e29862c0466121be4646

doc/examples/plot_match_face_template.py

https://github.com/matsuken92/scikit-image

@@ -33,7 +33,7 @@ ax2.set_title('image') # highlight matched region xy = np.unravel_index(np.argmax(result), result.shape)[::-1] #-1 flips ij to xy -wface, hface = head.shape +hface, wface = head.shape rect = plt.Rectangle(xy, wface, hface, edgecolor='r', facecolor='none') ax2.add_patch(rect)

wface , hface = head . shape

hface , wface = head . shape

SINGLE_STMT

[["Move", ["identifier:wface", 3, 1, 3, 6], ["pattern_list", 3, 1, 3, 13], 2], ["Move", [",:,", 3, 6, 3, 7], ["pattern_list", 3, 1, 3, 13], 3]]

matsuken92/scikit-image@8dbf6f4c581430ae7393d1ed0c5f0b377ffebd7e

Fix shape unpacking ((height, width), not (w, h)).

scikit-image

fc676d6ae0cc44f55d3bef7ee5b088df810fef63

7326b1949f87a8fc56d19e844f8ce8b3826aaaad

skimage/feature/template.py

https://github.com/matsuken92/scikit-image

@@ -1,7 +1,7 @@ """template.py - Template matching """ import numpy as np -import _template +from . import _template from skimage.util.dtype import convert

import _template

from . import _template

SINGLE_STMT

[["Insert", ["module", 0, 1, 7, 0], ["import_from_statement", "N0"], 2], ["Insert", "N0", ["from:from", "T"], 0], ["Insert", "N0", ["relative_import", "N1"], 1], ["Move", "N0", ["import:import", 3, 1, 3, 7], 2], ["Move", "N0", ["dotted_name", 3, 8, 3, 17], 3], ["Insert", "N1", ["import_prefix", "N2"], 0], ["Insert", "N2", [".:.", "T"], 0], ["Delete", ["import_statement", 3, 1, 3, 17]]]

matsuken92/scikit-image@fc676d6ae0cc44f55d3bef7ee5b088df810fef63

BUG: Correctly import _feature in Python 3.

scikit-image

8e67dd901f95288442f14812d2a12283f10e8200

754f0e5d39301cab66259b897d53a55c2f0e7f09

skimage/util/dtype.py

https://github.com/matsuken92/scikit-image

@@ -50,7 +50,7 @@ def convert(image, dtype, force_copy=False, uniform=False): uniform : bool Uniformly quantize the floating point range to the integer range. By default (uniform=False) floating point values are scaled and - rounded to the nearest integers, which minimized back and forth + rounded to the nearest integers, which minimizes back and forth conversion errors. References

are scaled and rounded to the nearest integers , which minimized back and forth

are scaled and rounded to the nearest integers , which minimizes back and forth

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:minimized", 3, 48, 3, 57], "minimizes"]]

matsuken92/scikit-image@8e67dd901f95288442f14812d2a12283f10e8200

Fix spelling

scikit-image

c4552d294acf80cd509699f9c9e4e19e64303492

8575a46f4201c32fe6e5a58e412e3c5dedf1e752

skimage/util/dtype.py

https://github.com/matsuken92/scikit-image

@@ -217,7 +217,7 @@ def convert(image, dtype, force_copy=False, uniform=False): image -= np.iinfo(dtype_in).min image = _scale(image, 8*itemsize_in, 8*itemsize, copy=False) image += np.iinfo(dtype).min - return image + return dtype(image) def img_as_float(image, force_copy=False):

return image

return dtype ( image )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["return_statement", 3, 5, 3, 17], ["call", "N0"], 1], ["Insert", "N0", ["identifier:dtype", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Move", "N1", ["identifier:image", 3, 12, 3, 17], 1], ["Insert", "N1", ["):)", "T"], 2]]

matsuken92/scikit-image@c4552d294acf80cd509699f9c9e4e19e64303492

Return correct dtype

scikit-image

15c0df33c97b334fe122af5916a1694a198298ee

11c4ca7f53f5bc69f3afd24653d785a5881b8d74

skimage/util/dtype.py

https://github.com/matsuken92/scikit-image

@@ -162,7 +162,7 @@ def convert(image, dtype, force_copy=False, uniform=False, frange=[-1.5, 1.5]): if kind_in == 'f': if frange and np.min(image) < frange[0] or np.max(image) > frange[1]: raise ValueError("Images of type float must be between %d and %d", - frange) + tuple(frange)) if kind == 'f': # floating point -> floating point if itemsize_in > itemsize:

raise ValueError ( "Images of type float must be between %d and %d" , frange )

raise ValueError ( "Images of type float must be between %d and %d" , tuple ( frange ) )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["argument_list", 2, 29, 3, 37], ["(:(", "T"], 0], ["Insert", ["argument_list", 2, 29, 3, 37], ["call", "N0"], 4], ["Insert", ["argument_list", 2, 29, 3, 37], ["):)", "T"], 5], ["Insert", "N0", ["identifier:tuple", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Move", "N1", ["(:(", 2, 29, 2, 30], 0], ["Move", "N1", ["identifier:frange", 3, 30, 3, 36], 1], ["Move", "N1", ["):)", 3, 36, 3, 37], 2]]

matsuken92/scikit-image@15c0df33c97b334fe122af5916a1694a198298ee

Fix TypeError

scikit-image

98245449cb68139fa1aa5b87d63753f488b472cb

8141f39a2ba80a57e3c4ac511e19de8a9fdb66ea

skimage/util/dtype.py

https://github.com/matsuken92/scikit-image

@@ -109,8 +109,8 @@ def convert(image, dtype, force_copy=False, uniform=False): prec_loss() if copy: b = np.empty(a.shape, _dtype2(kind, m)) - np.divide(a, 2**(n - m), out=b, dtype=a.dtype, - casting='unsafe') + np.floor_divide(a, 2**(n - m), out=b, dtype=a.dtype, + casting='unsafe') return b else: a //= 2**(n - m)

np . divide ( a , 2 ** ( n - m ) , out = b , dtype = a . dtype , casting = 'unsafe' )

np . floor_divide ( a , 2 ** ( n - m ) , out = b , dtype = a . dtype , casting = 'unsafe' )

WRONG_FUNCTION_NAME

[["Update", ["identifier:divide", 3, 20, 3, 26], "floor_divide"]]

matsuken92/scikit-image@98245449cb68139fa1aa5b87d63753f488b472cb

Fix test failures on Python 3

simplePostKB

dabf21b133a06be1d8f77bec54d916cf8f915181

f3e12cb64a113d88e257cb437b9ef1c1afa0ede7

kbproj/settings.py

https://github.com/OpenPerpetuum/simplePostKB

@@ -24,7 +24,7 @@ PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__)) SECRET_KEY = "j)=mt68(o19gvddh7am7fj8v#ka&7ebz4@fp7^hf5w546ya%fi" # SECURITY WARNING: don't run with debug turned on in production! -DEBUG = True +DEBUG = False # Application definition

DEBUG = True

DEBUG = False

CHANGE_BOOLEAN_LITERAL

[["Insert", ["assignment", 3, 1, 3, 13], ["false:False", "T"], 2], ["Delete", ["true:True", 3, 9, 3, 13]]]

OpenPerpetuum/simplePostKB@dabf21b133a06be1d8f77bec54d916cf8f915181

debug off

hamn

7db6b1600f98561ac74987d9c1c0ea87d49830ad

581067ed6f5e44bd27b44e662f4bd9aa4a40a05c

hamnadmin/mailqueue/models.py

https://github.com/dbonne/hamn

@@ -8,5 +8,5 @@ class QueuedMail(models.Model): # anything, we just push them right in there! fullmsg = models.TextField(null=False, blank=False) - def __unicode__(self): + def __str__(self): return "%s: %s -> %s" % (self.pk, self.sender, self.receiver)

def __unicode__ ( self ) : return "%s: %s -> %s" % ( self . pk , self . sender , self . receiver )

def __str__ ( self ) : return "%s: %s -> %s" % ( self . pk , self . sender , self . receiver )

SINGLE_TOKEN

[["Update", ["identifier:__unicode__", 3, 9, 3, 20], "__str__"]]

dbonne/hamn@7db6b1600f98561ac74987d9c1c0ea87d49830ad

arduino_tree

e1ff79254219ca8d8fed34a9f9f6f06bc4b18bce

a4d5fe7e045b19306084cf850c30a41408c05aa1

tree_master/animations/rand.py

https://github.com/jiridoko/arduino_tree

@@ -10,7 +10,7 @@ class rand(__animation.animation): self.initialize_argument("speed", "Speed: ", default_value=20) self.initialize_argument("count", "Count: ", default_value=1) self.initialize_argument("transition", "Transition time: ", default_value=30) - self.colours = [(255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 255, 0), (255, 0, 255), (0, 255, 255), (255, 255, 255), (255, 127, 0), (127, 255, 0), (127, 0, 255), (255, 0, 127), (0, 255, 127), (0, 127, 255)] + self.colours = [(255, 0, 0), (255, 0, 0), (255, 0, 0), (0, 255, 0), (0, 0, 255), (255, 255, 0), (255, 0, 255), (0, 255, 255), (255, 255, 255), (255, 127, 0), (127, 255, 0), (127, 0, 255), (0, 127, 255)] def run(self): while self.enabled: for x in range(int(self.get_argument("count"))):

self . colours = [ ( 255 , 0 , 0 ) , ( 0 , 255 , 0 ) , ( 0 , 0 , 255 ) , ( 255 , 255 , 0 ) , ( 255 , 0 , 255 ) , ( 0 , 255 , 255 ) , ( 255 , 255 , 255 ) , ( 255 , 127 , 0 ) , ( 127 , 255 , 0 ) , ( 127 , 0 , 255 ) , ( 255 , 0 , 127 ) , ( 0 , 255 , 127 ) , ( 0 , 127 , 255 ) ]

self . colours = [ ( 255 , 0 , 0 ) , ( 255 , 0 , 0 ) , ( 255 , 0 , 0 ) , ( 0 , 255 , 0 ) , ( 0 , 0 , 255 ) , ( 255 , 255 , 0 ) , ( 255 , 0 , 255 ) , ( 0 , 255 , 255 ) , ( 255 , 255 , 255 ) , ( 255 , 127 , 0 ) , ( 127 , 255 , 0 ) , ( 127 , 0 , 255 ) , ( 0 , 127 , 255 ) ]

SINGLE_STMT

[["Move", ["tuple", 3, 38, 3, 49], ["list", 3, 24, 3, 215], 5], ["Move", ["tuple", 3, 51, 3, 62], ["list", 3, 24, 3, 215], 8], ["Move", ["tuple", 3, 64, 3, 77], ["list", 3, 24, 3, 215], 10], ["Move", ["tuple", 3, 79, 3, 92], ["list", 3, 24, 3, 215], 12], ["Move", ["tuple", 3, 94, 3, 107], ["list", 3, 24, 3, 215], 14], ["Move", ["tuple", 3, 109, 3, 124], ["list", 3, 24, 3, 215], 16], ["Move", ["tuple", 3, 126, 3, 139], ["list", 3, 24, 3, 215], 18], ["Move", ["tuple", 3, 141, 3, 154], ["list", 3, 24, 3, 215], 20], ["Move", ["tuple", 3, 156, 3, 169], ["list", 3, 24, 3, 215], 22], ["Insert", ["list", 3, 24, 3, 215], ["tuple", "N0"], 3], ["Insert", ["list", 3, 24, 3, 215], ["tuple", "N1"], 6], ["Insert", "N0", ["(:(", "T"], 0], ["Insert", "N0", ["integer:255", "T"], 1], ["Insert", "N0", [",:,", "T"], 2], ["Insert", "N0", ["integer:0", "T"], 3], ["Insert", "N0", [",:,", "T"], 4], ["Insert", "N0", ["integer:0", "T"], 5], ["Insert", "N0", ["):)", "T"], 6], ["Insert", "N1", ["(:(", "T"], 0], ["Insert", "N1", ["integer:255", "T"], 1], ["Insert", "N1", [",:,", "T"], 2], ["Insert", "N1", ["integer:0", "T"], 3], ["Insert", "N1", [",:,", "T"], 4], ["Insert", "N1", ["integer:0", "T"], 5], ["Insert", "N1", ["):)", "T"], 6], ["Delete", ["(:(", 3, 171, 3, 172]], ["Delete", ["integer:255", 3, 172, 3, 175]], ["Delete", [",:,", 3, 175, 3, 176]], ["Delete", ["integer:0", 3, 177, 3, 178]], ["Delete", [",:,", 3, 178, 3, 179]], ["Delete", ["integer:127", 3, 180, 3, 183]], ["Delete", ["):)", 3, 183, 3, 184]], ["Delete", ["tuple", 3, 171, 3, 184]], ["Delete", ["(:(", 3, 186, 3, 187]], ["Delete", ["integer:0", 3, 187, 3, 188]], ["Delete", [",:,", 3, 188, 3, 189]], ["Delete", ["integer:255", 3, 190, 3, 193]], ["Delete", [",:,", 3, 193, 3, 194]], ["Delete", ["integer:127", 3, 195, 3, 198]], ["Delete", ["):)", 3, 198, 3, 199]], ["Delete", ["tuple", 3, 186, 3, 199]]]

jiridoko/arduino_tree@e1ff79254219ca8d8fed34a9f9f6f06bc4b18bce

fixing random colours ... adding more red for whatever reason

smt-data-processing

a22a230093acdf0d1a862b4ab6e0471b134eac85

3076c22a899cf05b13713f2b7babb71eeb26c09a

smt_tests.py

https://github.com/zhangysh1995/smt-data-processing

@@ -136,7 +136,7 @@ def compare_solvers(flist, Solvers, cpu=0): print('Testing... ' + os.path.split(fname)[1]) for solver in Solvers: # print(solver.name + ' ', flush = False) - testResult = test_with_solver(solver, fname, 2) + testResult = test_with_solver(solver, fname, 30) solver.results.append(testResult.result) solver.times.append(testResult.runtime) output_results(Solvers, os.path.split(flist[0])[0] + '/')

testResult = test_with_solver ( solver , fname , 2 )

testResult = test_with_solver ( solver , fname , 30 )

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:2", 3, 49, 3, 50], "30"]]

zhangysh1995/smt-data-processing@a22a230093acdf0d1a862b4ab6e0471b134eac85

default timeout

meta-chess

e8a0fc16b5c080b4ed0668d24031717a35e6f74f

7fbd6c9d3c173736d0e1c882e2c1be9219726fea

AiRepl.py

https://github.com/sa2thoms/meta-chess

@@ -112,7 +112,7 @@ class AiRepl: self.state = result elif result == 'mate': winning = 'White' - if (self.game.turn == self.WHITE): + if (self.game.turn == WHITE): winning = 'Black' self.game.printBoard() print("Checkmate! " + winning + " has won by checkmate.")

if ( self . game . turn == self . WHITE ) : winning = 'Black'

if ( self . game . turn == WHITE ) : winning = 'Black'

SINGLE_STMT

[["Move", ["comparison_operator", 3, 29, 3, 57], ["identifier:WHITE", 3, 52, 3, 57], 2], ["Delete", ["identifier:self", 3, 47, 3, 51]], ["Delete", [".:.", 3, 51, 3, 52]], ["Delete", ["attribute", 3, 47, 3, 57]]]

sa2thoms/meta-chess@e8a0fc16b5c080b4ed0668d24031717a35e6f74f

fixed bug

helpo

2a6e69050d886509b34dd062228af4f83d91e370

c4123b3e10daa44693b3f6f7373db3fb1baa14b3

helpo-api/common/functions.py

https://github.com/Jumpi96/helpo

@@ -19,7 +19,7 @@ def calc_distance_locations(lat_a, long_a, lat_b, long_b): def get_token_user(request): token = request.META.get('HTTP_AUTHORIZATION', None) - if token is not None: + if token is not None and len(token) > 0: objeto_token = AuthToken.objects.get(token_key=token[6:14]) return objeto_token.user_id

if token is not None : objeto_token = AuthToken . objects . get ( token_key = token [ 6 : 14 ] ) return objeto_token . user_id

if token is not None and len ( token ) > 0 : objeto_token = AuthToken . objects . get ( token_key = token [ 6 : 14 ] ) return objeto_token . user_id

MORE_SPECIFIC_IF

[["Insert", ["if_statement", 3, 5, 5, 36], ["boolean_operator", "N0"], 1], ["Move", "N0", ["comparison_operator", 3, 8, 3, 25], 0], ["Insert", "N0", ["and:and", "T"], 1], ["Insert", "N0", ["comparison_operator", "N1"], 2], ["Insert", "N1", ["call", "N2"], 0], ["Insert", "N1", [">:>", "T"], 1], ["Insert", "N1", ["integer:0", "T"], 2], ["Insert", "N2", ["identifier:len", "T"], 0], ["Insert", "N2", ["argument_list", "N3"], 1], ["Insert", "N3", ["(:(", "T"], 0], ["Insert", "N3", ["identifier:token", "T"], 1], ["Insert", "N3", ["):)", "T"], 2]]

Jumpi96/helpo@2a6e69050d886509b34dd062228af4f83d91e370

Bug horrible en ConsultaEvento deslogueado

helpo

e1e667801f2f2bbc1a903615b6dc176405fa94cb

ffac2c705fc4ab22097a89799d6f7d34884458e4

helpo-api/actividades/views.py

https://github.com/Jumpi96/helpo

@@ -249,7 +249,7 @@ class EventoVoluntarioCreateReadView(ListCreateAPIView): return eventos -class ConsultaEventosOrganizacionCreateReadView(AuthTokenMixin, ListCreateAPIView): +class ConsultaEventosOrganizacionCreateReadView(ListCreateAPIView): """ API endpoint para ver todos los eventos próximos """

class ConsultaEventosOrganizacionCreateReadView ( AuthTokenMixin , ListCreateAPIView ) : """ API endpoint para ver todos los eventos próximos """

class ConsultaEventosOrganizacionCreateReadView ( ListCreateAPIView ) : """ API endpoint para ver todos los eventos próximos """

SINGLE_STMT

[["Delete", ["identifier:AuthTokenMixin", 3, 49, 3, 63]], ["Delete", [",:,", 3, 63, 3, 64]]]

Jumpi96/helpo@e1e667801f2f2bbc1a903615b6dc176405fa94cb

Fix bug consulta_eventos without token

helpo

e50046304027ebdbb5156b50d98f10585083bb70

08aed77bf75fa3483cc594c4cb999ea781c76040

helpo-api/users/views.py

https://github.com/Jumpi96/helpo

@@ -159,7 +159,7 @@ class VolunteerProfileCreateReadView(ListCreateAPIView): def get(self, request, *args, **kwargs): queryset = self.get_queryset() - limit = min(int(request.query_params.get('limit', 10), 1000)) + limit = min(int(request.query_params.get('limit', 10)), 1000) offset = int(request.query_params.get('offset', 0)) return Response({ 'data': [VolunteerProfileSerializer(p).data for p in queryset[offset:offset+limit]],

limit = min ( int ( request . query_params . get ( 'limit' , 10 ) , 1000 ) )

limit = min ( int ( request . query_params . get ( 'limit' , 10 ) ) , 1000 )

SINGLE_STMT

[["Insert", ["argument_list", 3, 20, 3, 70], [",:,", "T"], 2], ["Insert", ["argument_list", 3, 20, 3, 70], ["integer:1000", "T"], 3], ["Delete", [",:,", 3, 62, 3, 63]], ["Delete", ["integer:1000", 3, 64, 3, 68]]]

Jumpi96/helpo@e50046304027ebdbb5156b50d98f10585083bb70

Fixing voluntarios bug

jasper-client

dcd887f1859c8f43018fd837281751af1cf60cdd

86695170f6d05ed91406fab0b797c170673a1302

boot/vocabcompiler.py

https://github.com/pneumaticdeath/jasper-client

@@ -17,7 +17,7 @@ def compile(): - m = dir(modules) + m = [name for _, name, _ in pkgutil.iter_modules(['modules'])] words = [] for module_name in m:

m = dir ( modules )

m = [ name for _ , name , _ in pkgutil . iter_modules ( [ 'modules' ] ) ]

SINGLE_STMT

[["Insert", ["assignment", 1, 5, 1, 21], ["list_comprehension", "N0"], 2], ["Insert", "N0", ["[:[", "T"], 0], ["Insert", "N0", ["identifier:name", "T"], 1], ["Insert", "N0", ["for_in_clause", "N1"], 2], ["Insert", "N0", ["]:]", "T"], 3], ["Insert", "N1", ["for:for", "T"], 0], ["Insert", "N1", ["pattern_list", "N2"], 1], ["Insert", "N1", ["in:in", "T"], 2], ["Move", "N1", ["call", 1, 9, 1, 21], 3], ["Insert", "N2", ["identifier:_", "T"], 0], ["Insert", "N2", [",:,", "T"], 1], ["Insert", "N2", ["identifier:name", "T"], 2], ["Insert", "N2", [",:,", "T"], 3], ["Insert", "N2", ["identifier:_", "T"], 4], ["Insert", ["call", 1, 9, 1, 21], ["attribute", "N3"], 0], ["Update", ["identifier:dir", 1, 9, 1, 12], "pkgutil"], ["Move", "N3", ["identifier:dir", 1, 9, 1, 12], 0], ["Insert", "N3", [".:.", "T"], 1], ["Insert", "N3", ["identifier:iter_modules", "T"], 2], ["Insert", ["argument_list", 1, 12, 1, 21], ["list", "N4"], 1], ["Insert", "N4", ["[:[", "T"], 0], ["Insert", "N4", ["string:'modules'", "T"], 1], ["Insert", "N4", ["]:]", "T"], 2], ["Delete", ["identifier:modules", 1, 13, 1, 20]]]

pneumaticdeath/jasper-client@dcd887f1859c8f43018fd837281751af1cf60cdd

jasper-client

1e2b8347644f5c9345a1c4680c40d3b1076fe33d

fb278db9062ace52b7d982736d143c3551248585

client/test.py

https://github.com/pneumaticdeath/jasper-client

@@ -48,7 +48,7 @@ class TestModules(unittest.TestCase): inputs = ["Who's there?", "Random response"] outputs = self.runConversation(query, inputs, modules.Joke) self.assertEqual(len(outputs), 3) - allJokes = open("JOKES.txt", "r").read() + allJokes = open("../static/text/JOKES.txt", "r").read() self.assertTrue(outputs[2] in allJokes) def testTime(self):

allJokes = open ( "JOKES.txt" , "r" ) . read ( )

allJokes = open ( "../static/text/JOKES.txt" , "r" ) . read ( )

CHANGE_STRING_LITERAL

[["Update", ["string:\"JOKES.txt\"", 3, 25, 3, 36], "\"../static/text/JOKES.txt\""]]

pneumaticdeath/jasper-client@1e2b8347644f5c9345a1c4680c40d3b1076fe33d

jasper-client

ada1810a76f38536824c10e18e80462705aa58aa

0dde146d017336fa1e1304963f5952b476372111

client/alteration.py

https://github.com/pneumaticdeath/jasper-client

@@ -12,7 +12,7 @@ def clean(input): actual speech by the TTS system. This is to fix minior idiomatic issues, for example, that 1901 is pronounced "one thousand, ninehundred and one" rather than - "nineteen ninety one". + "nineteen oh one". Arguments: input -- original speech text to-be modified

"nineteen ninety one" . Arguments : input - - original speech text to - be modified

"nineteen oh one" . Arguments : input - - original speech text to - be modified

CHANGE_STRING_LITERAL

[["Update", ["string:\"nineteen ninety one\"", 3, 9, 3, 30], "\"nineteen oh one\""]]

pneumaticdeath/jasper-client@ada1810a76f38536824c10e18e80462705aa58aa

jasper-client

e9dcc7ad1145dea2011f8369f07e1dd8be89b214

0399c6e3c4cbf2556fdfb5530a267e871965e1bf

client/local_mic.py

https://github.com/pneumaticdeath/jasper-client

@@ -8,7 +8,7 @@ implementation, Jasper is always active listening with local_mic. class Mic: prev = None - def __init__(self, lmd, dictd, lmd_persona, dictd_persona): + def __init__(self, speaker, lmd, dictd, lmd_persona, dictd_persona): return def passiveListen(self, PERSONA):

def __init__ ( self , lmd , dictd , lmd_persona , dictd_persona ) : return

def __init__ ( self , speaker , lmd , dictd , lmd_persona , dictd_persona ) : return

SINGLE_STMT

[["Move", ["identifier:lmd", 3, 24, 3, 27], ["parameters", 3, 17, 3, 63], 4], ["Move", ["identifier:dictd", 3, 29, 3, 34], ["parameters", 3, 17, 3, 63], 7], ["Move", ["identifier:lmd_persona", 3, 36, 3, 47], ["parameters", 3, 17, 3, 63], 9], ["Insert", ["parameters", 3, 17, 3, 63], ["identifier:speaker", "T"], 3], ["Insert", ["parameters", 3, 17, 3, 63], [",:,", "T"], 9]]

pneumaticdeath/jasper-client@e9dcc7ad1145dea2011f8369f07e1dd8be89b214

jasper-client

41674924d70b6c42d9167e06f7acf2c39d9f4461

8e316912b8b6f2f38465794a154ebb164cbdb12d

client/mic.py

https://github.com/pneumaticdeath/jasper-client

@@ -232,7 +232,7 @@ class Mic: write_frames.writeframes(''.join(frames)) write_frames.close() - return self.active_stt_engine.transcribe(AUDIO_FILE, MUSIC) + return self.active_stt_engine.transcribe(AUDIO_FILE, MUSIC=MUSIC) def say(self, phrase, OPTIONS=" -vdefault+m3 -p 40 -s 160 --stdout > say.wav"): # alter phrase before speaking

return self . active_stt_engine . transcribe ( AUDIO_FILE , MUSIC )

return self . active_stt_engine . transcribe ( AUDIO_FILE , MUSIC = MUSIC )

SINGLE_STMT

[["Insert", ["argument_list", 3, 49, 3, 68], ["keyword_argument", "N0"], 3], ["Move", "N0", ["identifier:MUSIC", 3, 62, 3, 67], 0], ["Insert", "N0", ["=:=", "T"], 1], ["Insert", "N0", ["identifier:MUSIC", "T"], 2]]

pneumaticdeath/jasper-client@41674924d70b6c42d9167e06f7acf2c39d9f4461

jasper-client

954ea6dd7181b09029366935f5d93df7a2c4e24b

72375945d4e98aba57ccb86b965b5abe9634c62a

jasper.py

https://github.com/pneumaticdeath/jasper-client

@@ -25,7 +25,7 @@ from client import vocabcompiler, stt from client import speaker as speak from client.conversation import Conversation -parser = argparse.ArgumentParser(description='Test suite for the Jasper client code.') +parser = argparse.ArgumentParser(description='Jasper Voice Control Center') parser.add_argument('--local', action='store_true', help='Use text input instead of a real microphone') parser.add_argument('--no-network-check', action='store_true', help='Disable the network connection check') parser.add_argument('--debug', action='store_true', help='Show debug messages')

parser = argparse . ArgumentParser ( description = 'Test suite for the Jasper client code.' )

parser = argparse . ArgumentParser ( description = 'Jasper Voice Control Center' )

CHANGE_STRING_LITERAL

[["Update", ["string:'Test suite for the Jasper client code.'", 3, 46, 3, 86], "'Jasper Voice Control Center'"]]

pneumaticdeath/jasper-client@954ea6dd7181b09029366935f5d93df7a2c4e24b

jasper-client

836c95aa5ac70cbab50c53c40ccbbd664ec74b04

92d0b1160f62a93ba60429fb5b9d98140f0f3e76

jasper.py

https://github.com/pneumaticdeath/jasper-client

@@ -85,7 +85,7 @@ if __name__ == "__main__": try: app = Jasper() except IOError: - logger.exception("Can't read config file.") + logger.exception("Can't read profile file.") sys.exit(1) except OSError: logger.exception("Language model or associated files missing.")

logger . exception ( "Can't read config file." )

logger . exception ( "Can't read profile file." )

CHANGE_STRING_LITERAL

[["Update", ["string:\"Can't read config file.\"", 3, 26, 3, 51], "\"Can't read profile file.\""]]

pneumaticdeath/jasper-client@836c95aa5ac70cbab50c53c40ccbbd664ec74b04

jasper-client

c2ac7f31d7777d6bcc83385409cbfe34af695a8a

001b1884bdbb125d4689e310f7dfb22f4c54b31f

client/stt.py

https://github.com/pneumaticdeath/jasper-client

@@ -29,7 +29,7 @@ class AbstractSTTEngine(object): return True @abstractmethod - def transcribe(self, audio_file_path, PERSONA_ONLY=False, MUSIC=False): + def transcribe(self, audio_file_path, mode=TranscriptionMode.NORMAL): pass class PocketSphinxSTT(AbstractSTTEngine):

def transcribe ( self , audio_file_path , PERSONA_ONLY = False , MUSIC = False ) : pass

def transcribe ( self , audio_file_path , mode = TranscriptionMode . NORMAL ) : pass

SINGLE_STMT

[["Insert", ["parameters", 3, 19, 3, 75], ["default_parameter", "N0"], 5], ["Update", ["identifier:PERSONA_ONLY", 3, 43, 3, 55], "mode"], ["Move", "N0", ["identifier:PERSONA_ONLY", 3, 43, 3, 55], 0], ["Move", "N0", ["=:=", 3, 55, 3, 56], 1], ["Insert", "N0", ["attribute", "N1"], 2], ["Update", ["identifier:MUSIC", 3, 63, 3, 68], "TranscriptionMode"], ["Move", "N1", ["identifier:MUSIC", 3, 63, 3, 68], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:NORMAL", "T"], 2], ["Delete", ["false:False", 3, 56, 3, 61]], ["Delete", ["default_parameter", 3, 43, 3, 61]], ["Delete", [",:,", 3, 61, 3, 62]], ["Delete", ["=:=", 3, 68, 3, 69]], ["Delete", ["false:False", 3, 69, 3, 74]], ["Delete", ["default_parameter", 3, 63, 3, 74]]]

pneumaticdeath/jasper-client@c2ac7f31d7777d6bcc83385409cbfe34af695a8a

jasper-client

55e295f6b7a5149bbc05f884b56e91c47e66263d

96f718e4524c4c7631438d37df47bf2f61d26f4f

client/stt.py

https://github.com/pneumaticdeath/jasper-client

@@ -254,4 +254,4 @@ def newSTTEngine(stt_engine, **kwargs): engine = selected_engines[0] if not engine.is_available(): raise ValueError("STT engine '%s' is not available (due to missing dependencies, missing dependencies, etc.)" % stt_engine) - return engine(engine.get_config()) + return engine(**engine.get_config())

return engine ( engine . get_config ( ) )

return engine ( ** engine . get_config ( ) )

SINGLE_STMT

[["Insert", ["argument_list", 3, 22, 3, 43], ["dictionary_splat", "N0"], 1], ["Insert", "N0", ["**:**", "T"], 0], ["Move", "N0", ["call", 3, 23, 3, 42], 1]]

pneumaticdeath/jasper-client@55e295f6b7a5149bbc05f884b56e91c47e66263d

jasper-client

b3906039d283db22412380d9cc61874f7a5b86b1

98ac7559322931e21df3e8dffbeb167861b64567

client/speaker.py

https://github.com/pneumaticdeath/jasper-client

@@ -241,7 +241,7 @@ if __name__ == '__main__': for engine in AbstractSpeaker.__subclasses__(): if hasattr(engine, 'SLUG'): instance = engine() - if instance.is_available: + if instance.is_available(): engines.append(instance) for engine in engines:

if instance . is_available : engines . append ( instance )

if instance . is_available ( ) : engines . append ( instance )

SINGLE_STMT

[["Insert", ["if_statement", 3, 13, 4, 41], ["call", "N0"], 1], ["Move", "N0", ["attribute", 3, 16, 3, 37], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Insert", "N1", ["):)", "T"], 1]]

pneumaticdeath/jasper-client@b3906039d283db22412380d9cc61874f7a5b86b1

scikit-image

1a1476841d2d0e484a5c4245c3140c6c58039870

691dc07771b4a40f092314c32a339e7f419f3174

doc/examples/plot_matching.py

https://github.com/matsuken92/scikit-image

@@ -72,7 +72,7 @@ def gaussian_weights(window_ext, sigma=1): def match_corner(coord, window_ext=5): - r, c = np.round(coord) + r, c = np.round(coord).astype(np.intp) window_orig = img_orig[r-window_ext:r+window_ext+1, c-window_ext:c+window_ext+1, :]

r , c = np . round ( coord )

r , c = np . round ( coord ) . astype ( np . intp )

ADD_METHOD_CALL

[["Insert", ["call", 3, 13, 3, 28], ["attribute", "N0"], 0], ["Insert", ["call", 3, 13, 3, 28], ["argument_list", "N1"], 1], ["Move", "N0", ["call", 3, 13, 3, 28], 0], ["Insert", "N0", [".:.", "T"], 1], ["Insert", "N0", ["identifier:astype", "T"], 2], ["Insert", "N1", ["(:(", "T"], 0], ["Insert", "N1", ["attribute", "N2"], 1], ["Insert", "N1", ["):)", "T"], 2], ["Insert", "N2", ["identifier:np", "T"], 0], ["Insert", "N2", [".:.", "T"], 1], ["Insert", "N2", ["identifier:intp", "T"], 2]]

matsuken92/scikit-image@1a1476841d2d0e484a5c4245c3140c6c58039870

Fix deprecation warnings in matching example

scikit-image

739dca0201f963ea2ebb4aaf56031eed63690748

9e1cc80dd32b7fc29184c1161cc48ace9b2898e3

skimage/novice/_novice.py

https://github.com/matsuken92/scikit-image

@@ -226,7 +226,7 @@ class Picture(object): Get the bottom-left pixel >>> pic[0, 0] - Pixel(red=255, green=0, blue=0) + Pixel(red=255, green=0, blue=0, alpha=255) Get the top row of the picture >>> pic[:, pic.height-1]

Pixel ( red = 255 , green = 0 , blue = 0 )

Pixel ( red = 255 , green = 0 , blue = 0 , alpha = 255 )

SAME_FUNCTION_MORE_ARGS

[["Insert", ["argument_list", 3, 10, 3, 36], [",:,", "T"], 6], ["Insert", ["argument_list", 3, 10, 3, 36], ["keyword_argument", "N0"], 7], ["Insert", "N0", ["identifier:alpha", "T"], 0], ["Insert", "N0", ["=:=", "T"], 1], ["Insert", "N0", ["integer:255", "T"], 2]]

matsuken92/scikit-image@739dca0201f963ea2ebb4aaf56031eed63690748

Fix novice doc test

scikit-image

4aa162fc783629075baaf1a4bc615c95551ee3fa

fbda63962a34f2d62d41fdd404edc49aef215319

skimage/segmentation/random_walker_segmentation.py

https://github.com/matsuken92/scikit-image

@@ -389,7 +389,7 @@ def random_walker(data, labels, beta=130, mode='bf', tol=1.e-3, copy=True, dims = data[..., 0].shape # To reshape final labeled result data = img_as_float(data) if data.ndim == 3: # 2D multispectral, needs singleton in 3rd axis - data = data[:, :, np.newaxis, :].transpose((0, 1, 3, 2)) + data = data[:, :, np.newaxis, :] # Spacing kwarg checks if spacing is None:

data = data [ : , : , np . newaxis , : ] . transpose ( ( 0 , 1 , 3 , 2 ) )

data = data [ : , : , np . newaxis , : ]

SINGLE_STMT

[["Move", ["assignment", 3, 13, 3, 69], ["subscript", 3, 20, 3, 45], 2], ["Delete", [".:.", 3, 45, 3, 46]], ["Delete", ["identifier:transpose", 3, 46, 3, 55]], ["Delete", ["attribute", 3, 20, 3, 55]], ["Delete", ["(:(", 3, 55, 3, 56]], ["Delete", ["(:(", 3, 56, 3, 57]], ["Delete", ["integer:0", 3, 57, 3, 58]], ["Delete", [",:,", 3, 58, 3, 59]], ["Delete", ["integer:1", 3, 60, 3, 61]], ["Delete", [",:,", 3, 61, 3, 62]], ["Delete", ["integer:3", 3, 63, 3, 64]], ["Delete", [",:,", 3, 64, 3, 65]], ["Delete", ["integer:2", 3, 66, 3, 67]], ["Delete", ["):)", 3, 67, 3, 68]], ["Delete", ["tuple", 3, 56, 3, 68]], ["Delete", ["):)", 3, 68, 3, 69]], ["Delete", ["argument_list", 3, 55, 3, 69]], ["Delete", ["call", 3, 20, 3, 69]]]

matsuken92/scikit-image@4aa162fc783629075baaf1a4bc615c95551ee3fa

FIX: Remove unnecessary .transpose introduced in PR #984

scikit-image

3fab7c00570fad21e918403f27e3701725bf336b

26793068b1102765165d2aa216b90f830d68e029

skimage/segmentation/_join.py

https://github.com/matsuken92/scikit-image

@@ -118,7 +118,7 @@ def relabel_sequential(label_field, offset=1): if not np.issubdtype(label_field.dtype, np.int): new_type = np.min_scalar_type(int(m)) label_field = label_field.astype(new_type) - m = np.round(m).astype(new_type) # Ensures m is an integer + m = m.astype(new_type) # Ensures m is an integer labels = np.unique(label_field) labels0 = labels[labels != 0] if m == len(labels0): # nothing to do, already 1...n labels

m = np . round ( m ) . astype ( new_type )

m = m . astype ( new_type )

SINGLE_STMT

[["Move", ["attribute", 3, 13, 3, 31], ["identifier:m", 3, 22, 3, 23], 0], ["Move", ["attribute", 3, 13, 3, 31], [".:.", 3, 15, 3, 16], 1], ["Delete", ["identifier:np", 3, 13, 3, 15]], ["Delete", ["identifier:round", 3, 16, 3, 21]], ["Delete", ["attribute", 3, 13, 3, 21]], ["Delete", ["(:(", 3, 21, 3, 22]], ["Delete", ["):)", 3, 23, 3, 24]], ["Delete", ["argument_list", 3, 21, 3, 24]], ["Delete", ["call", 3, 13, 3, 24]], ["Delete", [".:.", 3, 24, 3, 25]]]

matsuken92/scikit-image@3fab7c00570fad21e918403f27e3701725bf336b

Remove incorrect np.round statement (directly cast `m`)

scikit-image

adbc2efbfa2156eb9fd7b74f3484e413d203b5d9

98c426d58319b0a2b4fccc7f079c8a899ab6ecc5

skimage/color/colorconv.py

https://github.com/matsuken92/scikit-image

@@ -806,7 +806,7 @@ def lab2rgb(lab): Parameters ---------- - rgb : array_like + lab : array_like The image in Lab format, in a 3-D array of shape ``(.., .., 3)``. Returns

- - - - - - - - - - rgb : array_like

- - - - - - - - - - lab : array_like

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:rgb", 3, 5, 3, 8], "lab"]]

matsuken92/scikit-image@adbc2efbfa2156eb9fd7b74f3484e413d203b5d9

Fix copy/paste error in docstring.

scikit-image

fb4729d60d193133a983c2d51056b23ad5b9fd32

ea6c9b27abe0595064b3517a24d0507ae23af2a9

doc/gh-pages.py

https://github.com/matsuken92/scikit-image

@@ -117,7 +117,7 @@ if __name__ == '__main__': try: cd(pages_dir) status = sh2('git status | head -1') - branch = re.match('\# On branch (.*)$', status).group(1) + branch = re.match('On branch (.*)$', status).group(1) if branch != 'gh-pages': e = 'On %r, git branch is %r, MUST be "gh-pages"' % (pages_dir, branch)

branch = re . match ( '\# On branch (.*)$' , status ) . group ( 1 )

branch = re . match ( 'On branch (.*)$' , status ) . group ( 1 )

CHANGE_STRING_LITERAL

[["Update", ["string:'\\# On branch (.*)$'", 3, 27, 3, 47], "'On branch (.*)$'"]]

matsuken92/scikit-image@fb4729d60d193133a983c2d51056b23ad5b9fd32

Fix gh-pages build script

scikit-image

b70d423aab5a443cf608c65c880d163c73b2190e

d72163a0379dff0d1d7d39d2536a969f9189d4f0

skimage/color/colorlabel.py

https://github.com/matsuken92/scikit-image

@@ -156,7 +156,7 @@ def _label2rgb_overlay(label, image=None, colors=None, alpha=0.3, return result -def _label2rgb_avg(label_field, image, bg_label, bg_color): +def _label2rgb_avg(label_field, image, bg_label=0, bg_color=(0, 0, 0)):

def _label2rgb_avg ( label_field , image , bg_label , bg_color ) :

def _label2rgb_avg ( label_field , image , bg_label = 0 , bg_color = ( 0 , 0 , 0 ) ) :

SINGLE_STMT

[["Insert", ["parameters", 3, 19, 3, 59], ["default_parameter", "N0"], 5], ["Insert", ["parameters", 3, 19, 3, 59], ["default_parameter", "N1"], 8], ["Insert", ["parameters", 3, 19, 3, 59], ["):)", "T"], 9], ["Move", "N0", ["identifier:bg_label", 3, 40, 3, 48], 0], ["Insert", "N0", ["=:=", "T"], 1], ["Insert", "N0", ["integer:0", "T"], 2], ["Move", "N1", ["identifier:bg_color", 3, 50, 3, 58], 0], ["Insert", "N1", ["=:=", "T"], 1], ["Insert", "N1", ["tuple", "N2"], 2], ["Insert", "N2", ["(:(", "T"], 0], ["Insert", "N2", ["integer:0", "T"], 1], ["Insert", "N2", [",:,", "T"], 2], ["Insert", "N2", ["integer:0", "T"], 3], ["Insert", "N2", [",:,", "T"], 4], ["Insert", "N2", ["integer:0", "T"], 5], ["Move", "N2", ["):)", 3, 58, 3, 59], 6]]

matsuken92/scikit-image@b70d423aab5a443cf608c65c880d163c73b2190e

Add default values for background in _label2rgb_avg

scikit-image

83d0717986f66b47ecc323328befdcb50a67fe54

7d9f9c46d9707e02bb7f9d94cc8d84c0b0f3e697

skimage/io/tests/test_freeimage.py

https://github.com/matsuken92/scikit-image

@@ -39,7 +39,7 @@ def test_imread(): @skipif(not FI_available) def test_imread_truncated_jpg(): - assert_raises(RuntimeError, + assert_raises((RuntimeError, ValueError), sio.imread, os.path.join(si.data_dir, 'truncated.jpg'))

assert_raises ( RuntimeError , sio . imread , os . path . join ( si . data_dir , 'truncated.jpg' ) )

assert_raises ( ( RuntimeError , ValueError ) , sio . imread , os . path . join ( si . data_dir , 'truncated.jpg' ) )

SINGLE_STMT

[["Insert", ["argument_list", 3, 18, 5, 62], ["tuple", "N0"], 1], ["Insert", ["argument_list", 3, 18, 5, 62], [",:,", "T"], 2], ["Insert", "N0", ["(:(", "T"], 0], ["Move", "N0", ["identifier:RuntimeError", 3, 19, 3, 31], 1], ["Move", "N0", [",:,", 3, 31, 3, 32], 2], ["Insert", "N0", ["identifier:ValueError", "T"], 3], ["Insert", "N0", ["):)", "T"], 4]]

matsuken92/scikit-image@83d0717986f66b47ecc323328befdcb50a67fe54

[test_freeimage] Allow ValueError to be raised With the truncated image, sometimes ValueError is raised. This allows either RuntimeError (i.e. libfreeimage error) or ValueError to be raised.

scikit-image

7a074d5dd165536cb05fd87ea94a29510edac1a7

6887f2cb90c59e2379041c1efa08746b08ad7333

skimage/segmentation/_join.py

https://github.com/matsuken92/scikit-image

@@ -124,7 +124,7 @@ def relabel_sequential(label_field, offset=1): if m == len(labels0): # nothing to do, already 1...n labels return label_field, labels, labels forward_map = np.zeros(m + 1, int) - forward_map[labels0] = np.arange(offset, offset + len(labels0) + 1) + forward_map[labels0] = np.arange(offset, offset + len(labels0)) if not (labels == 0).any(): labels = np.concatenate(([0], labels)) inverse_map = np.zeros(offset - 1 + len(labels), dtype=np.intp)

forward_map [ labels0 ] = np . arange ( offset , offset + len ( labels0 ) + 1 )

forward_map [ labels0 ] = np . arange ( offset , offset + len ( labels0 ) )

SINGLE_STMT

[["Delete", ["+:+", 3, 68, 3, 69]], ["Delete", ["integer:1", 3, 70, 3, 71]]]

matsuken92/scikit-image@7a074d5dd165536cb05fd87ea94a29510edac1a7

BUG: Fix slicing error revealed by numpy 1.9.0. Numpy 1.9.0 no longer allows oversize data to be assigned to a boolean indexed 1-d array by discarding excess elements. Closes #1050.

scikit-image

21364e8741da905c9e382118cca780ff47d1776e

9cd276f754da36e9b50a62e14ad2376dc8652c77

doc/examples/plot_rag_mean_color.py

https://github.com/matsuken92/scikit-image

@@ -19,7 +19,7 @@ labels1 = segmentation.slic(img, compactness=30, n_segments=400) out1 = color.label2rgb(labels1, img, kind='avg') g = graph.rag_mean_color(img, labels1) -labels2 = graph.cut_threshold(labels1, g, 30) +labels2 = graph.cut_threshold(labels1, g, 29) out2 = color.label2rgb(labels2, img, kind='avg') plt.figure()

labels2 = graph . cut_threshold ( labels1 , g , 30 )

labels2 = graph . cut_threshold ( labels1 , g , 29 )

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:30", 3, 43, 3, 45], "29"]]

matsuken92/scikit-image@21364e8741da905c9e382118cca780ff47d1776e

Fixed threshold in example

scikit-image

838617cb394c9ab9c948ebd64439d0485edfbf0d

278a0d6862e25a479f38a29f5451f33232fdc3cf

skimage/filter/tests/test_thresholding.py

https://github.com/matsuken92/scikit-image

@@ -67,7 +67,7 @@ class TestSimpleImage(): def test_isodata_linspace(self): assert -63.8 < threshold_isodata(np.linspace(-127, 0, 256)) < -63.6 - def test_isodata_16bit(): + def test_isodata_16bit(self): np.random.seed(0) imfloat = np.random.rand(256, 256) t = threshold_isodata(imfloat, nbins=1024)

def test_isodata_16bit ( ) : np . random . seed ( 0 ) imfloat = np . random . rand ( 256 , 256 ) t = threshold_isodata ( imfloat , nbins = 1024 )

def test_isodata_16bit ( self ) : np . random . seed ( 0 ) imfloat = np . random . rand ( 256 , 256 ) t = threshold_isodata ( imfloat , nbins = 1024 )

SINGLE_STMT

[["Insert", ["parameters", 3, 27, 3, 29], ["identifier:self", "T"], 1]]

matsuken92/scikit-image@838617cb394c9ab9c948ebd64439d0485edfbf0d

Fix incorrect test function signature

scikit-image

332469c6df8fcb0d3151b457a76abccb1c136c1b

6b9ecd80b91ad4c2ded3536ac34d21d09ba33bc8

doc/examples/applications/plot_coins_segmentation.py

https://github.com/matsuken92/scikit-image

@@ -91,7 +91,7 @@ Small spurious objects are easily removed by setting a minimum size for valid from skimage import morphology -coins_cleaned = morphology.remove_small_connected_components(fill_coins, 21) +coins_cleaned = morphology.remove_small_objects(fill_coins, 21) plt.figure(figsize=(4, 3)) plt.imshow(coins_cleaned, cmap=plt.cm.gray, interpolation='nearest')

coins_cleaned = morphology . remove_small_connected_components ( fill_coins , 21 )

coins_cleaned = morphology . remove_small_objects ( fill_coins , 21 )

WRONG_FUNCTION_NAME

[["Update", ["identifier:remove_small_connected_components", 1, 28, 1, 61], "remove_small_objects"]]

matsuken92/scikit-image@332469c6df8fcb0d3151b457a76abccb1c136c1b

Fix missed rename in example

scikit-image

0a6b72bfe4f47b48e883591e61e43b0065793ea3

7f5b331f22589093aa93e570f9a8a93868872923

skimage/color/tests/test_colorconv.py

https://github.com/matsuken92/scikit-image

@@ -124,15 +124,15 @@ class TestColorconv(TestCase): # RGB<->HED roundtrip def test_hed_rgb_roundtrip(self): - test = np.array([[[97, 105, 152], - [217, 187, 225], - [117, 107, 168]], - [[217, 187, 225], - [176, 135, 83], - [234, 144, 205]], - [[97, 105, 152], - [117, 107, 168], - [217, 187, 225]]], dtype=np.uint8) + img_rgb = np.array([[[97, 105, 152], + [217, 187, 225], + [117, 107, 168]], + [[217, 187, 225], + [176, 135, 83], + [234, 144, 205]], + [[97, 105, 152], + [117, 107, 168], + [217, 187, 225]]], dtype=np.uint8) assert_array_almost_equal(hed2rgb(rgb2hed(img_rgb)), img_rgb) # RGB to RGB CIE

test = np . array ( [ [ [ 97 , 105 , 152 ] , [ 217 , 187 , 225 ] , [ 117 , 107 , 168 ] ] , [ [ 217 , 187 , 225 ] , [ 176 , 135 , 83 ] , [ 234 , 144 , 205 ] ] , [ [ 97 , 105 , 152 ] , [ 117 , 107 , 168 ] , [ 217 , 187 , 225 ] ] ] , dtype = np . uint8 )

img_rgb = np . array ( [ [ [ 97 , 105 , 152 ] , [ 217 , 187 , 225 ] , [ 117 , 107 , 168 ] ] , [ [ 217 , 187 , 225 ] , [ 176 , 135 , 83 ] , [ 234 , 144 , 205 ] ] , [ [ 97 , 105 , 152 ] , [ 117 , 107 , 168 ] , [ 217 , 187 , 225 ] ] ] , dtype = np . uint8 )

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:test", 3, 9, 3, 13], "img_rgb"]]

matsuken92/scikit-image@0a6b72bfe4f47b48e883591e61e43b0065793ea3

FIX: Fixed test_hed_rgb_roundtrip.

scikit-image

7ca08cf7630787201636da4ea4409741b558d613

dda83fdb5586d69b06043d57ba312a12f277c05c

skimage/transform/hough_transform.py

https://github.com/matsuken92/scikit-image

@@ -164,7 +164,7 @@ def hough_circle(img, radius, normalize=True): - return _hough_circle(img, radius, normalize) + return _hough_circle(img, radius.astype(np.intp), normalize) def hough_peaks(hspace, angles, dists, min_distance=10, min_angle=10, threshold=None, num_peaks=np.inf):

return _hough_circle ( img , radius , normalize )

return _hough_circle ( img , radius . astype ( np . intp ) , normalize )

ADD_METHOD_CALL

[["Insert", ["argument_list", 0, 25, 0, 49], ["call", "N0"], 3], ["Insert", ["argument_list", 0, 25, 0, 49], ["):)", "T"], 7], ["Insert", "N0", ["attribute", "N1"], 0], ["Insert", "N0", ["argument_list", "N2"], 1], ["Move", "N1", ["identifier:radius", 0, 31, 0, 37], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:astype", "T"], 2], ["Insert", "N2", ["(:(", "T"], 0], ["Insert", "N2", ["attribute", "N3"], 1], ["Move", "N2", ["):)", 0, 48, 0, 49], 2], ["Insert", "N3", ["identifier:np", "T"], 0], ["Insert", "N3", [".:.", "T"], 1], ["Insert", "N3", ["identifier:intp", "T"], 2]]

matsuken92/scikit-image@7ca08cf7630787201636da4ea4409741b558d613

Fix `ValueError: Buffer dtype mismatch` on win-amd64

scikit-image

042b75d05fb68ec6ba89156936881baea9c68be2

920e41398d6c9264d163dafd3fb7469449f27e10

skimage/feature/tests/test_corner.py

https://github.com/matsuken92/scikit-image

@@ -107,7 +107,7 @@ def test_num_peaks(): lena_corners = corner_harris(data.lena()) - for i in xrange(20): + for i in range(20): n = np.random.random_integers(20) results = peak_local_max(lena_corners, num_peaks=n) assert (results.shape[0] == n)

for i in xrange ( 20 ) : n = np . random . random_integers ( 20 ) results = peak_local_max ( lena_corners , num_peaks = n ) assert ( results . shape [ 0 ] == n )

for i in range ( 20 ) : n = np . random . random_integers ( 20 ) results = peak_local_max ( lena_corners , num_peaks = n ) assert ( results . shape [ 0 ] == n )

WRONG_FUNCTION_NAME

[["Update", ["identifier:xrange", 3, 14, 3, 20], "range"]]

matsuken92/scikit-image@042b75d05fb68ec6ba89156936881baea9c68be2

FIX: changed xrange to range so Python 3 works.

scikit-image

0238e388acf86144f3d03f5b65809c3ac2301f7e

9ddb9e42aa7890d0dc247cb5545f5287f475e5d2

skimage/morphology/_skeletonize.py

https://github.com/matsuken92/scikit-image

@@ -146,7 +146,7 @@ def skeletonize(image): pixelRemoved = True skeleton[code_mask] = 0 - return skeleton + return skeleton.astype(bool) # --------- Skeletonization by medial axis transform --------

return skeleton

return skeleton . astype ( bool )

ADD_METHOD_CALL

[["Insert", ["return_statement", 3, 5, 3, 20], ["call", "N0"], 1], ["Insert", "N0", ["attribute", "N1"], 0], ["Insert", "N0", ["argument_list", "N2"], 1], ["Move", "N1", ["identifier:skeleton", 3, 12, 3, 20], 0], ["Insert", "N1", [".:.", "T"], 1], ["Insert", "N1", ["identifier:astype", "T"], 2], ["Insert", "N2", ["(:(", "T"], 0], ["Insert", "N2", ["identifier:bool", "T"], 1], ["Insert", "N2", ["):)", "T"], 2]]

matsuken92/scikit-image@0238e388acf86144f3d03f5b65809c3ac2301f7e

Make return type of skeletonize function boolean

scikit-image

41007b417b9af300a2488850c12e8f066469c166

82ea5cf446ac873fef03398b42e7b3e2499930da

doc/examples/plot_rank_mean.py

https://github.com/matsuken92/scikit-image

@@ -25,7 +25,7 @@ from skimage import data from skimage.morphology import disk import skimage.filter.rank as rank -a16 = (data.coins()).astype('uint16') * 16 +a16 = (data.coins()).astype(np.uint16) * 16 selem = disk(20) f1 = rank.percentile_mean(a16, selem=selem, p0=.1, p1=.9)

a16 = ( data . coins ( ) ) . astype ( 'uint16' ) * 16

a16 = ( data . coins ( ) ) . astype ( np . uint16 ) * 16

SINGLE_STMT

[["Insert", ["argument_list", 3, 28, 3, 38], ["attribute", "N0"], 1], ["Insert", "N0", ["identifier:np", "T"], 0], ["Insert", "N0", [".:.", "T"], 1], ["Insert", "N0", ["identifier:uint16", "T"], 2], ["Delete", ["string:'uint16'", 3, 29, 3, 37]]]

matsuken92/scikit-image@41007b417b9af300a2488850c12e8f066469c166

Use numpy dtype rather than string

scikit-image

5f0665264876764f52dd75341795c96446cb8e79

529d46a67b235d4fda6cad14362b0bcdfa63d946

skimage/color/tests/test_colorconv.py

https://github.com/matsuken92/scikit-image

@@ -126,7 +126,7 @@ class TestColorconv(TestCase): # RGB<->HED roundtrip with ubyte image def test_hed_rgb_roundtrip(self): - img_rgb = self.img_rgb + img_rgb = img_as_ubyte(self.img_rgb) assert_equal(img_as_ubyte(hed2rgb(rgb2hed(img_rgb))), img_rgb) # RGB<->HED roundtrip with float image

img_rgb = self . img_rgb

img_rgb = img_as_ubyte ( self . img_rgb )

ADD_FUNCTION_AROUND_EXPRESSION

[["Insert", ["assignment", 3, 9, 3, 31], ["call", "N0"], 2], ["Insert", "N0", ["identifier:img_as_ubyte", "T"], 0], ["Insert", "N0", ["argument_list", "N1"], 1], ["Insert", "N1", ["(:(", "T"], 0], ["Move", "N1", ["attribute", 3, 19, 3, 31], 1], ["Insert", "N1", ["):)", "T"], 2]]

matsuken92/scikit-image@5f0665264876764f52dd75341795c96446cb8e79

Fix dtype bug in color tests for python 3

scikit-image

df801a887666a489bf6148490d10598af3f6367b

65f26e7e9d2722e6556f6838ba1af961ecfad631

skimage/measure/fit.py

https://github.com/matsuken92/scikit-image

@@ -444,7 +444,7 @@ class EllipseModel(BaseModel): def ransac(data, model_class, min_samples, residual_threshold, - max_trials=1000): + max_trials=100):

def ransac ( data , model_class , min_samples , residual_threshold , max_trials = 1000 ) :

def ransac ( data , model_class , min_samples , residual_threshold , max_trials = 100 ) :

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:1000", 3, 23, 3, 27], "100"]]

matsuken92/scikit-image@df801a887666a489bf6148490d10598af3f6367b

Reduce default number of max trials

scikit-image

b58f52e40e5e8dbf3557124f31362bbfaeddca00

62b25455dc8b7a1312e0401e8e5991bcacfc26f2

skimage/measure/fit.py

https://github.com/matsuken92/scikit-image

@@ -132,7 +132,7 @@ class LineModel(BaseModel): if params is None: params = self._params dist, theta = params - return (dist - y * math.cos(theta)) / math.cos(theta) + return (dist - y * math.sin(theta)) / math.cos(theta) def predict_y(self, x, params=None):

return ( dist - y * math . cos ( theta ) ) / math . cos ( theta )

return ( dist - y * math . sin ( theta ) ) / math . cos ( theta )

WRONG_FUNCTION_NAME

[["Update", ["identifier:cos", 3, 33, 3, 36], "sin"]]

matsuken92/scikit-image@b58f52e40e5e8dbf3557124f31362bbfaeddca00

Fix bug in predict_x of line model

scikit-image

e7ca4b6138443c0f52bda5485c24ed0355e36bbf

124e38751ca15137b1d896e3ab0d9bc646e945f8

skimage/viewer/widgets/core.py

https://github.com/matsuken92/scikit-image

@@ -81,7 +81,7 @@ class Slider(BaseWidget): Range of slider values. value : float Default slider value. If None, use midpoint between `low` and `high`. - value : {'float' | 'int'} + value_type : {'float' | 'int'} Numeric type of slider value. ptype : {'arg' | 'kwarg' | 'plugin'} Parameter type.

Default slider value . If None , use midpoint between `low` and `high` . value : { 'float' | 'int' }

Default slider value . If None , use midpoint between `low` and `high` . value_type : { 'float' | 'int' }

CHANGE_ATTRIBUTE_USED

[["Update", ["identifier:value", 3, 5, 3, 10], "value_type"]]

matsuken92/scikit-image@e7ca4b6138443c0f52bda5485c24ed0355e36bbf

Fix parameter name in docstring

scikit-image

0a8ff1b3641a5cb24ce5885c2b86c8eb667fa9ad

afd1b1b835ff09e716643f5608103c61a3251104

skimage/viewer/viewers/core.py

https://github.com/matsuken92/scikit-image

@@ -285,7 +285,7 @@ class CollectionViewer(ImageViewer): ---------- image_collection : list of images List of images to be displayed. - update_on : {'on_slide' | 'on_release'} + update_on : {'move' | 'release'} Control whether image is updated on slide or release of the image slider. Using 'on_release' will give smoother behavior when displaying large images or when writing a plugin/subclass that requires heavy

be displayed . update_on : { 'on_slide' | 'on_release' }

be displayed . update_on : { 'move' | 'release' }

SINGLE_STMT

[["Update", ["string:'on_slide'", 3, 18, 3, 28], "'move'"], ["Update", ["string:'on_release'", 3, 31, 3, 43], "'release'"]]

matsuken92/scikit-image@0a8ff1b3641a5cb24ce5885c2b86c8eb667fa9ad

Fix docstring for CollectionViewer slider.

scikit-image

71601a2bde778b2dcc81099725ae83e23475a9ae

79a5ab0e126f810245a4f333771a5302fbd5f59d

skimage/viewer/__init__.py

https://github.com/matsuken92/scikit-image

@@ -1 +1 @@ -from viewers import ImageViewer, CollectionViewer +from .viewers import ImageViewer, CollectionViewer

from viewers import ImageViewer , CollectionViewer

from . viewers import ImageViewer , CollectionViewer

SINGLE_STMT

[["Insert", ["import_from_statement", 0, 1, 0, 50], ["relative_import", "N0"], 1], ["Insert", "N0", ["import_prefix", "N1"], 0], ["Move", "N0", ["dotted_name", 0, 6, 0, 13], 1], ["Insert", "N1", [".:.", "T"], 0]]

matsuken92/scikit-image@71601a2bde778b2dcc81099725ae83e23475a9ae

fix path import viewers

scikit-image

cae693cb699b46d0554f50cf051d09cb7201ce15

dae0156230807f265fe9b8773f1ae9b5fd3f7a1b

skimage/viewer/utils/core.py

https://github.com/matsuken92/scikit-image

@@ -22,7 +22,7 @@ __all__ = ['init_qtapp', 'start_qtapp', 'RequiredAttr', 'figimage', 'update_axes_image'] -global QApp +QApp = None def init_qtapp():

global QApp

QApp = None

SINGLE_STMT

[["Insert", ["module", 0, 12, 7, 0], ["expression_statement", "N0"], 1], ["Insert", "N0", ["assignment", "N1"], 0], ["Move", "N1", ["identifier:QApp", 3, 8, 3, 12], 0], ["Insert", "N1", ["=:=", "T"], 1], ["Insert", "N1", ["none:None", "T"], 2], ["Delete", ["global:global", 3, 1, 3, 7]], ["Delete", ["global_statement", 3, 1, 3, 12]]]

matsuken92/scikit-image@cae693cb699b46d0554f50cf051d09cb7201ce15

Change QApp default to previous behavior.

scikit-image

6f775400b5643fe4b015b11c65be8a331ee2d238

19a3d335730b11085852e29bbe8d358b1cd8c158

skimage/viewer/plugins/lineprofile.py

https://github.com/matsuken92/scikit-image

@@ -107,7 +107,7 @@ class LineProfile(PlotPlugin): scan = profile_line(self.image_viewer.original_image, end_points, linewidth=self.line_tool.linewidth) - if scan[1].shape != len(self.profile): + if scan.shape[1] != len(self.profile): self.reset_axes(scan) for i in range(len(scan[0])):

if scan [ 1 ] . shape != len ( self . profile ) : self . reset_axes ( scan )

if scan . shape [ 1 ] != len ( self . profile ) : self . reset_axes ( scan )

SINGLE_STMT

[["Move", ["comparison_operator", 3, 12, 3, 46], ["subscript", 3, 12, 3, 19], 0], ["Insert", ["subscript", 3, 12, 3, 19], ["attribute", "N0"], 0], ["Move", "N0", ["identifier:scan", 3, 12, 3, 16], 0], ["Insert", "N0", [".:.", "T"], 1], ["Insert", "N0", ["identifier:shape", "T"], 2], ["Delete", [".:.", 3, 19, 3, 20]], ["Delete", ["identifier:shape", 3, 20, 3, 25]], ["Delete", ["attribute", 3, 12, 3, 25]]]

matsuken92/scikit-image@6f775400b5643fe4b015b11c65be8a331ee2d238

FIX: No longer reset for each update

scikit-image

8f40e05aab3850bcba6ff3f92c4b532cef52fb2a

94dc84f5b719c4114325a2e93f4ef8a476f76c38

skimage/filter/_canny.py

https://github.com/matsuken92/scikit-image

@@ -158,7 +158,7 @@ def canny(image, sigma=1., low_threshold=None, high_threshold=None, mask=None): raise TypeError("The input 'image' must be a two-dimensional array.") if low_threshold is None: - low_threshold = 0.1 * dtype_limits(image)[0] + low_threshold = 0.1 * dtype_limits(image)[1] if high_threshold is None: high_threshold = 0.2 * dtype_limits(image)[1]

low_threshold = 0.1 * dtype_limits ( image ) [ 0 ]

low_threshold = 0.1 * dtype_limits ( image ) [ 1 ]

CHANGE_NUMERIC_LITERAL

[["Update", ["integer:0", 3, 51, 3, 52], "1"]]

matsuken92/scikit-image@8f40e05aab3850bcba6ff3f92c4b532cef52fb2a

Fixed relative threshold: you consider 10% and 20% of the max for range of corresponding dtype.

scikit-image

42e07a8ef6b75343ddc8b6382ca1180bdcf2d87f

c76daa97a9a1f3014345e6e1bd0fceae2822fc0a

doc/examples/plot_local_binary_pattern.py

https://github.com/matsuken92/scikit-image

@@ -207,7 +207,7 @@ plt.gray() ax1.imshow(brick) ax1.axis('off') -hist(ax, refs['brick']) +hist(ax4, refs['brick']) ax4.set_ylabel('Percentage') ax2.imshow(grass)

hist ( ax , refs [ 'brick' ] )

hist ( ax4 , refs [ 'brick' ] )

CHANGE_IDENTIFIER_USED

[["Update", ["identifier:ax", 3, 6, 3, 8], "ax4"]]

matsuken92/scikit-image@42e07a8ef6b75343ddc8b6382ca1180bdcf2d87f

Fix naming bug

scikit-image

55fe6ce2d685e25cfc9e0894c517bccd6b7bf4fe

5a43e0306100fc8f5109000f6708a265853bf972

skimage/segmentation/slic_superpixels.py

https://github.com/matsuken92/scikit-image

@@ -85,7 +85,7 @@ def slic(image, n_segments=100, ratio=10., max_iter=10, sigma=1, warnings.warn(RuntimeWarning(msg)) multichannel = True elif multichannel is None: - multichannel = (spatial_dims == image.ndim + 1) + multichannel = (spatial_dims + 1 == image.ndim) if ((not multichannel and image.ndim not in [2, 3]) or (multichannel and image.ndim not in [3, 4]) or (multichannel and image.shape[-1] != 3)):

( spatial_dims == image . ndim + 1 )

( spatial_dims + 1 == image . ndim )

SINGLE_STMT

[["Insert", ["comparison_operator", 3, 25, 3, 55], ["binary_operator", "N0"], 0], ["Move", ["comparison_operator", 3, 25, 3, 55], ["attribute", 3, 41, 3, 51], 3], ["Move", "N0", ["identifier:spatial_dims", 3, 25, 3, 37], 0], ["Insert", "N0", ["+:+", "T"], 1], ["Insert", "N0", ["integer:1", "T"], 2], ["Delete", ["+:+", 3, 52, 3, 53]], ["Delete", ["integer:1", 3, 54, 3, 55]], ["Delete", ["binary_operator", 3, 41, 3, 55]]]

matsuken92/scikit-image@55fe6ce2d685e25cfc9e0894c517bccd6b7bf4fe

Bug fix: spatial vs image dimension comparison reversed

agbot

7962293313279aa5cb4a90bd8860c126c7754c0e

242389e5444d907e0d2207ac6c041f4a8fcbd22b

scrapers/reports.py

https://github.com/texas-justice-initiative/agbot

@@ -96,5 +96,5 @@ class Reports: smtp.sendmail(self.email_from, send_to, msg.as_string()) smtp.close() except Exception: - print(f'Failed to send the email') + print(f'Failed to send the email for:\n{text}') raise

except Exception : print ( f'Failed to send the email' )

except Exception : print ( f'Failed to send the email for:\n{text}' )

CHANGE_STRING_LITERAL

[["Update", ["string:f'Failed to send the email'", 3, 19, 3, 46], "f'Failed to send the email for:\\n{text}'"]]

texas-justice-initiative/agbot@7962293313279aa5cb4a90bd8860c126c7754c0e

Improved error message for failed emails

agbot

7cc8ae4cc508beea2173276044b2e2e1249b827a

01a6ac99365dd8b091e8732da5397ae554ffb205

utils/email.py

https://github.com/texas-justice-initiative/agbot

@@ -32,7 +32,7 @@ class Email: smtp.ehlo() smtp.starttls() smtp.login(self.email_from, self.gmail_password) - smtp.sendmail(self.email_from, send_to, msg.as_string()) + smtp.sendmail(self.email_from, self.email_to, msg.as_string()) smtp.close() except Exception: print(f'Failed to send the email for:\n{text}')

smtp . sendmail ( self . email_from , send_to , msg . as_string ( ) )

smtp . sendmail ( self . email_from , self . email_to , msg . as_string ( ) )

SINGLE_STMT

[["Insert", ["argument_list", 3, 26, 3, 69], ["attribute", "N0"], 3], ["Update", ["identifier:send_to", 3, 44, 3, 51], "self"], ["Move", "N0", ["identifier:send_to", 3, 44, 3, 51], 0], ["Insert", "N0", [".:.", "T"], 1], ["Insert", "N0", ["identifier:email_to", "T"], 2]]

texas-justice-initiative/agbot@7cc8ae4cc508beea2173276044b2e2e1249b827a

Bugfix: send_to list was incorrect

agbot

6ac305e32e7b489599d68041c04076c23fb79924

2bf6ae5f24db28c173ddc6433b5115b15adf822b

lambda_handler.py

https://github.com/texas-justice-initiative/agbot

@@ -9,7 +9,7 @@ def handle(event, context): print('Scraping reports') reports = reports_scraper.scrape() - print('Found:', [r['metadata']['file'] for r in reports]) + print('Found:', [r['file_url'] for r in reports]) print('Sending emails to', email.email_to) for report in reports:

print ( 'Found:' , [ r [ 'metadata' ] [ 'file' ] for r in reports ] )

print ( 'Found:' , [ r [ 'file_url' ] for r in reports ] )

SINGLE_STMT

[["Update", ["string:'metadata'", 3, 24, 3, 34], "'file_url'"], ["Delete", ["[:[", 3, 35, 3, 36]], ["Delete", ["string:'file'", 3, 36, 3, 42]], ["Delete", ["]:]", 3, 42, 3, 43]]]

texas-justice-initiative/agbot@6ac305e32e7b489599d68041c04076c23fb79924

Bugfix: incorrect file_url path

stores-rest-api

5f7738f45cc267548f7c55ed9a20f79f574d2817

e01b77a313e229df469efdf7816d885221eab478

run.py

https://github.com/Brock1212/stores-rest-api

@@ -1,4 +1,4 @@ -from app import app +from app import app as application from db import db db.init_app(app)

from app import app

from app import app as application

SINGLE_STMT

[["Insert", ["import_from_statement", 0, 1, 0, 20], ["aliased_import", "N0"], 3], ["Move", "N0", ["dotted_name", 0, 17, 0, 20], 0], ["Insert", "N0", ["as:as", "T"], 1], ["Insert", "N0", ["identifier:application", "T"], 2]]

Brock1212/stores-rest-api@5f7738f45cc267548f7c55ed9a20f79f574d2817

fixed not importing db when running the app

stores-rest-api

79ffbb3b8b32b5dc3d1665bfc10368889184cf6b

5903e76cdb9ba6d37b689570bbd6a0ab931cb529

run.py

https://github.com/Brock1212/stores-rest-api

@@ -1,4 +1,4 @@ -from app import app as application +from app import app from db import db db.init_app(app)

from app import app as application

from app import app

SINGLE_STMT

[["Move", ["import_from_statement", 0, 1, 0, 35], ["dotted_name", 0, 17, 0, 20], 3], ["Delete", ["as:as", 0, 21, 0, 23]], ["Delete", ["identifier:application", 0, 24, 0, 35]], ["Delete", ["aliased_import", 0, 17, 0, 35]]]

Brock1212/stores-rest-api@79ffbb3b8b32b5dc3d1665bfc10368889184cf6b

fixed not importing db when running the app