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[ { "sha": "ce1a27a40188b3aed596eb77528966687b0d0638", "filename": "skimage/restoration/tests/test_restoration.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/bda9b4fb3c3ee2892488555865da2b2b7b929e7a/skimage%2Frestoration%2Ftests%2Ftest_restoration.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/bda9b4fb3c3ee2892488555865da2b2b7b929e7a/skimage%2Frestoration%2Ftests%2Ftest_restoration.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Frestoration%2Ftests%2Ftest_restoration.py?ref=bda9b4fb3c3ee2892488555865da2b2b7b929e7a", "patch": "@@ -45,7 +45,7 @@ def test_unsupervised_wiener():\n deconvolved = np.real(restoration.unsupervised_wiener(\n data, otf, reg=laplacian, is_real=False,\n user_params={\"callback\": lambda x: None})[0])\n- path = pjoin(dirname(abspath(\"./tests/\")), 'camera_unsup2.npy')\n+ path = pjoin(dirname(abspath(__file__)), 'camera_unsup2.npy')\n np.testing.assert_allclose(deconvolved, np.load(path))\n \n " } ]

[ { "sha": "4f36e62832326607ffc81b7c954912c163d54413", "filename": "skimage/filter/rank/bilateral.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/f1839e685a5e4c9c48e3ce653ba6331af37d3ca7/skimage%2Ffilter%2Frank%2Fbilateral.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/f1839e685a5e4c9c48e3ce653ba6331af37d3ca7/skimage%2Ffilter%2Frank%2Fbilateral.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilter%2Frank%2Fbilateral.py?ref=f1839e685a5e4c9c48e3ce653ba6331af37d3ca7", "patch": "@@ -146,7 +146,7 @@ def pop_bilateral(image, selem, out=None, mask=None, shift_x=False,\n ... [0, 1, 1, 1, 0],\n ... [0, 1, 1, 1, 0],\n ... [0, 0, 0, 0, 0]], dtype=np.uint16)\n- >>> rank.pop_bilateral(imgsquare(3), s0=10, s1=10)\n+ >>> rank.pop_bilateral(img, square(3), s0=10, s1=10)\n array([[3, 4, 3, 4, 3],\n [4, 4, 6, 4, 4],\n [3, 6, 9, 6, 3]," } ]

[ { "sha": "e49c710ce6b9164f2aded0b2a7cd46f638d5bc27", "filename": "skimage/measure/profile.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/040a21afb90d5e5c3e6ad43748142395259a680f/skimage%2Fmeasure%2Fprofile.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/040a21afb90d5e5c3e6ad43748142395259a680f/skimage%2Fmeasure%2Fprofile.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2Fprofile.py?ref=040a21afb90d5e5c3e6ad43748142395259a680f", "patch": "@@ -3,7 +3,7 @@\n \n \n def profile_line(img, src, dst, linewidth=1,\n- order=0, mode='constant', cval=0.0):\n+ order=1, mode='constant', cval=0.0):\n \"\"\"Return the intensity profile of an image measured along a scan line.\n \n Parameters" } ]

[ { "sha": "5817580d9c316e5498bc8fba60b9d82a6f05bd0a", "filename": "skimage/measure/_regionprops.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/292f9dce9b7a5c41bb4f02e9f5d8897a1c915dcf/skimage%2Fmeasure%2F_regionprops.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/292f9dce9b7a5c41bb4f02e9f5d8897a1c915dcf/skimage%2Fmeasure%2F_regionprops.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2F_regionprops.py?ref=292f9dce9b7a5c41bb4f02e9f5d8897a1c915dcf", "patch": "@@ -399,7 +399,7 @@ def regionprops(label_image, properties=None,\n **major_axis_length** : float\n The length of the major axis of the ellipse that has the same\n normalized second central moments as the region.\n- **min_intensity** : float\n+ **max_intensity** : float\n Value with the greatest intensity in the region.\n **mean_intensity** : float\n Value with the mean intensity in the region." } ]

[ { "sha": "b5750f41b6b86ebc48b6a468c002837c1d2b3181", "filename": "skimage/measure/_marching_cubes.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/48ca44bf166a446343a6999557c967287562ac29/skimage%2Fmeasure%2F_marching_cubes.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/48ca44bf166a446343a6999557c967287562ac29/skimage%2Fmeasure%2F_marching_cubes.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2F_marching_cubes.py?ref=48ca44bf166a446343a6999557c967287562ac29", "patch": "@@ -244,7 +244,7 @@ def correct_mesh_orientation(volume, verts, faces, spacing=(1., 1., 1.),\n \n # Calculate and normalize cross products for each face\n crosses = np.cross(a, b)\n- crosses = crosses / np.linalg.norm(crosses, axis=1)[:, np.newaxis]\n+ crosses = crosses / np.sum(crosses ** 2, axis=1) ** (0.5)[:, np.newaxis]\n \n # Take dot product\n dotproducts = (grad_centroids * crosses).sum(axis=1)" } ]

[ { "sha": "e8a0818e884e4c5d001c0daa039944848f433b53", "filename": "api/views/chart_child_data.py", "status": "modified", "additions": 2, "deletions": 1, "changes": 3, "blob_url": "https://github.com/jcasmer/grow_control_backend/blob/a1510624e597c3e02d29044eff7d81376b4d21ed/api%2Fviews%2Fchart_child_data.py", "raw_url": "https://github.com/jcasmer/grow_control_backend/raw/a1510624e597c3e02d29044eff7d81376b4d21ed/api%2Fviews%2Fchart_child_data.py", "contents_url": "https://api.github.com/repos/jcasmer/grow_control_backend/contents/api%2Fviews%2Fchart_child_data.py?ref=a1510624e597c3e02d29044eff7d81376b4d21ed", "patch": "@@ -40,7 +40,7 @@ def ChartChildDataView(request):\n # return Response({'error': 'No se encontró controles realizados para el menor'}, status=400)\r\n \r\n if not childs_detail:\r\n- return Response({'error': 'No se encontró controles realizados para el menor'}, status=400)\r\n+ return Response({'error': 'No se han realizado controles para el menor'}, status=400)\r\n \r\n try:\r\n child = Childs.objects.get(id=request.GET.get('idChild'))\r\n@@ -61,6 +61,7 @@ def ChartChildDataView(request):\n # type 1 == weight \r\n if request.GET.get('chartType') == '1':\r\n data.append(detail.weight)\r\n+ # type 2 == height \r\n elif request.GET.get('chartType') == '2':\r\n data.append(detail.height)\r\n \r" } ]

[ { "sha": "6147656dec09b41c22ad77808f770d2778ef2869", "filename": "01/wuhang/learn1.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/python-13/homework/blob/54ab154f9f3e350974e04da6a6336514fe6fb995/01%2Fwuhang%2Flearn1.py", "raw_url": "https://github.com/python-13/homework/raw/54ab154f9f3e350974e04da6a6336514fe6fb995/01%2Fwuhang%2Flearn1.py", "contents_url": "https://api.github.com/repos/python-13/homework/contents/01%2Fwuhang%2Flearn1.py?ref=54ab154f9f3e350974e04da6a6336514fe6fb995", "patch": "@@ -47,7 +47,7 @@ def update_operate(update_name):\n def del_operate(del_name):\n if del_name in user_info:\n del user_info[del_name]\n- print(\"Del %s succeed\\n\")\n+ print(\"Del %s succeed\\n\" % del_name)\n else:\n print(\"Name not exist\\n\")\n " } ]

[ { "sha": "9f47f32a9c025f2b4022bebf95cd4f205cc61a6c", "filename": "red.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/PogChamp7/Eva/blob/a6193e1f37e214ffcf8212ba97ed2b476b02b899/red.py", "raw_url": "https://github.com/PogChamp7/Eva/raw/a6193e1f37e214ffcf8212ba97ed2b476b02b899/red.py", "contents_url": "https://api.github.com/repos/PogChamp7/Eva/contents/red.py?ref=a6193e1f37e214ffcf8212ba97ed2b476b02b899", "patch": "@@ -1119,7 +1119,7 @@ def isMemberAdmin(message):\n \t\treturn False\n \n def canDeleteMessages(message):\n-\treturn message.channel.permissions_for(message.server.me).can_manage_messages\n+\treturn message.channel.permissions_for(message.server.me).manage_messages\n \n ################################################\n " } ]

[ { "sha": "767c85ab671edd42c7f86ffa9a3c05ea91813949", "filename": "red.py", "status": "modified", "additions": 2, "deletions": 2, "changes": 4, "blob_url": "https://github.com/PogChamp7/Eva/blob/e1c4edba9f95821c38b257e61856f1a8531f5376/red.py", "raw_url": "https://github.com/PogChamp7/Eva/raw/e1c4edba9f95821c38b257e61856f1a8531f5376/red.py", "contents_url": "https://api.github.com/repos/PogChamp7/Eva/contents/red.py?ref=e1c4edba9f95821c38b257e61856f1a8531f5376", "patch": "@@ -1131,7 +1131,7 @@ async def setVolume(message):\n \t\tmsg = msg.split(\" \")\n \t\ttry:\n \t\t\tvol = float(msg[1])\n-\t\t\tif vol >= 0 or vol <= 1:\n+\t\t\tif vol >= 0 and vol <= 1:\n \t\t\t\tsettings[\"VOLUME\"] = vol\n \t\t\t\tawait(client.send_message(message.channel, \"`Volume set. Next track will have the desired volume.`\"))\n \t\t\t\tdataIO.fileIO(\"settings.json\", \"save\", settings)\n@@ -1519,4 +1519,4 @@ def main():\n \texcept:\n \t\tloop.run_until_complete(client.logout())\n \tfinally:\n-\t\tloop.close()\n\\ No newline at end of file\n+\t\tloop.close()" } ]

[ { "sha": "39457f4bf781ce4f1b04c01c3f4e6b1f1980e636", "filename": "red.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/PogChamp7/Eva/blob/aaae7fbfe00f2d15648cfab3e09b87add5ed1038/red.py", "raw_url": "https://github.com/PogChamp7/Eva/raw/aaae7fbfe00f2d15648cfab3e09b87add5ed1038/red.py", "contents_url": "https://api.github.com/repos/PogChamp7/Eva/contents/red.py?ref=aaae7fbfe00f2d15648cfab3e09b87add5ed1038", "patch": "@@ -402,7 +402,7 @@ async def endGame(self):\n \n \n \tdef loadList(self, qlist):\n-\t\twith open(qlist, \"r\") as f:\n+\t\twith open(qlist, \"r\", encoding=\"utf-8\") as f:\n \t\t\tqlist = f.readlines()\n \t\tparsedList = []\n \t\tfor line in qlist:" } ]

[ { "sha": "70c6dfc06c971a94c9936520100383af4c852924", "filename": "red.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/PogChamp7/Eva/blob/d06345dbe2cfdb1de85312d4872e2a90c925c528/red.py", "raw_url": "https://github.com/PogChamp7/Eva/raw/d06345dbe2cfdb1de85312d4872e2a90c925c528/red.py", "contents_url": "https://api.github.com/repos/PogChamp7/Eva/contents/red.py?ref=d06345dbe2cfdb1de85312d4872e2a90c925c528", "patch": "@@ -984,7 +984,7 @@ async def imdb(message): # Method added by BananaWaffles.\n \t\t\t\t\ttry:\n \t\t\t\t\t\tmsg.remove(msg[0])\n \t\t\t\t\t\tmsg = \"+\".join(msg)\n-\t\t\t\t\t\tsearch = \"http://api.myapifilms.com/imdb/title?format=json&title=\" + msg + \"&token=\" + \"yourtokenhere\"\n+\t\t\t\t\t\tsearch = \"http://api.myapifilms.com/imdb/title?format=json&title=\" + msg + \"&token=\" + apis[\"MYAPIFILMS_TOKEN\"]\n \t\t\t\t\t\tasync with aiohttp.get(search) as r:\n \t\t\t\t\t\t\tresult = await r.json()\n \t\t\t\t\t\t\ttitle = result['data']['movies'][0]['title']" } ]

[ { "sha": "23bfd858c36642d8e200124a38c0cb7ab3ac6a11", "filename": "visbrain/sleep/visuals/visuals.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/fdb9a58528d6da552d3988bbe0fdfdc019717701/visbrain%2Fsleep%2Fvisuals%2Fvisuals.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/fdb9a58528d6da552d3988bbe0fdfdc019717701/visbrain%2Fsleep%2Fvisuals%2Fvisuals.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Fvisuals%2Fvisuals.py?ref=fdb9a58528d6da552d3988bbe0fdfdc019717701", "patch": "@@ -568,7 +568,7 @@ def set_data(self, sf, data, time, convert=True):\n Specify if hypnogram data have to be converted.\n \"\"\"\n # Hypno conversion :\n- if (self._hconv is not None) and convert:\n+ if (self._hconv != self._hconvinv) and convert:\n data = self.hyp2GUI(data)\n # Build color array :\n color = np.zeros((len(data), 4), dtype=np.float32)" } ]

[ { "sha": "08ef706950206295e718cedf10886320fc046ea1", "filename": "visbrain/sleep/sleep.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/5ef73d1e40173ecca9ffba1eef4cf185b7f30fa3/visbrain%2Fsleep%2Fsleep.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/5ef73d1e40173ecca9ffba1eef4cf185b7f30fa3/visbrain%2Fsleep%2Fsleep.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Fsleep.py?ref=5ef73d1e40173ecca9ffba1eef4cf185b7f30fa3", "patch": "@@ -75,7 +75,7 @@ class Sleep(uiInit, visuals, uiElements, Tools):\n def __init__(self, file=None, hypno_file=None, config_file=None,\n data=None, channels=None, sf=None, hypno=None,\n downsample=100., axis=False, line='gl', hypedit=False,\n- href=['art', 'wake', 'n1', 'n2', 'n3', 'rem']):\n+ href=['art', 'wake', 'rem', 'n1', 'n2', 'n3']):\n \"\"\"Init.\"\"\"\n # ====================== APP CREATION ======================\n # Create the app and initialize all graphical elements :" } ]

[ { "sha": "255b4e73c284c2d60590e4de1ebcdf2641c56abb", "filename": "visbrain/sleep/interface/uiElements/uiTools.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/64d61afbb9156ae2196cd9986c5dd571e9471ea7/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiTools.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/64d61afbb9156ae2196cd9986c5dd571e9471ea7/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiTools.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiTools.py?ref=64d61afbb9156ae2196cd9986c5dd571e9471ea7", "patch": "@@ -30,7 +30,7 @@ def __init__(self):\n # Get it :\n self._reChecks.append(box)\n # Add checkbox to the grid :\n- self._ToolsRefIgnGrd.addWidget(self._reChecks[i], i, 0, 1, 1)\n+ self._ToolsRefIgnGrd.addWidget(box, i, 0, 1, 1)\n # Connections :\n self._ToolsRefIgn.clicked.connect(self._fcn_refChanIgnore)\n self._ToolsRefLst.addItems(np.array(self._channels)[~self._noneeg])" } ]

[ { "sha": "692ea4e3a8cd8e16415d5b499a57c790477a2a11", "filename": "visbrain/sleep/sleep.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/70672b07b05a2163a90bb04b6a03517bf9a7903a/visbrain%2Fsleep%2Fsleep.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/70672b07b05a2163a90bb04b6a03517bf9a7903a/visbrain%2Fsleep%2Fsleep.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Fsleep.py?ref=70672b07b05a2163a90bb04b6a03517bf9a7903a", "patch": "@@ -336,7 +336,7 @@ def _check_data(self, sf, data, channels, hypno=None, downsample=None,\n \n # =========================== SCALING =============================\n # Check amplitude of the data and if necessary apply re-scaling\n- if np.abs(np.ptp(data).mean()) < 0.001:\n+ if np.abs(np.ptp(data, 0).mean()) < 0.001:\n data *= 1e6\n \n # ========================== CONVERSION ===========================" } ]

[ { "sha": "0979413d40ededea2658de284498005ab20d3645", "filename": "visbrain/sleep/interface/uiElements/uiInfo.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/224816fc3a5a4997e6a8a1c636c29a5d73a163b8/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiInfo.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/224816fc3a5a4997e6a8a1c636c29a5d73a163b8/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiInfo.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiInfo.py?ref=224816fc3a5a4997e6a8a1c636c29a5d73a163b8", "patch": "@@ -1,6 +1,6 @@\n \"\"\"Main class for info managment.\"\"\"\n \n-from PyQt5 import QtGui, QtWidgets\n+from PyQt5 import QtWidgets\n import os\n \n from ....utils import sleepstats, listToCsv, listToTxt" } ]

[ { "sha": "b0ef9b46bdc42942cadced4d0bda930f56a14a14", "filename": "visbrain/sleep/interface/uiElements/uiPanels.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/6be39888d8eacb9c9c1f7f949658fb68a8f90f93/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiPanels.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/6be39888d8eacb9c9c1f7f949658fb68a8f90f93/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiPanels.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiPanels.py?ref=6be39888d8eacb9c9c1f7f949658fb68a8f90f93", "patch": "@@ -433,7 +433,7 @@ def _fcn_specSetData(self):\n # Get reversed colormap :\n if self._PanSpecCmapInv.isChecked():\n cmap += '_r'\n- self._specLabel.setText(self._channels[chan])\n+ self._specLabel.setText(self._addspace + self._channels[chan])\n # Set data :\n self._spec.set_data(self._sf, self._data[chan, ...], self._time,\n nfft=nfft, overlap=over, fstart=fstart, fend=fend," } ]

[ { "sha": "b328bcafee0e35621c6450d36e741c7030a77c50", "filename": "visbrain/sleep/sleep.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/74c9082fb628f3061255a2b3cd3b2e62f8aff4dd/visbrain%2Fsleep%2Fsleep.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/74c9082fb628f3061255a2b3cd3b2e62f8aff4dd/visbrain%2Fsleep%2Fsleep.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Fsleep.py?ref=74c9082fb628f3061255a2b3cd3b2e62f8aff4dd", "patch": "@@ -350,7 +350,7 @@ def _check_data(self, sf, data, channels, hypno=None, downsample=None,\n \n # =========================== SCALING =============================\n # Check amplitude of the data and if necessary apply re-scaling\n- if np.abs(np.ptp(data, 0).mean()) < 0.001:\n+ if np.abs(np.ptp(data, 0).mean()) < 0.1:\n data *= 1e6\n \n # ========================== CONVERSION ===========================" } ]

[ { "sha": "2c470403d174af032eec711a9ed95559bca1831a", "filename": "visbrain/brain/interface/uiElements/uiAtlas.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/c02adc5f8afd139ac0d60b91d9d6fec4be5d9aa7/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiAtlas.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/c02adc5f8afd139ac0d60b91d9d6fec4be5d9aa7/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiAtlas.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiAtlas.py?ref=c02adc5f8afd139ac0d60b91d9d6fec4be5d9aa7", "patch": "@@ -322,7 +322,7 @@ def _fcn_crossec_move(self):\n # Set new center position :\n bgd = (self.bgd_red.value(), self.bgd_green.value(),\n self.bgd_blue.value())\n- self.volume.set_cs_data(dx, dy, dz, bgcolor=bgd, alpha=0.2, cmap=cmap)\n+ self.volume.set_cs_data(dx, dy, dz, bgcolor=bgd, alpha=0., cmap=cmap)\n \n def _fcn_crossec_viz(self):\n \"\"\"Control cross-sections visibility.\"\"\"" } ]

[ { "sha": "3aabccd51fb62eeb0cae839524397620a4b8496b", "filename": "visbrain/io/dependencies.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/3a2a0bd81b7852ca98fc738ac019e34e04957f25/visbrain%2Fio%2Fdependencies.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/3a2a0bd81b7852ca98fc738ac019e34e04957f25/visbrain%2Fio%2Fdependencies.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fio%2Fdependencies.py?ref=3a2a0bd81b7852ca98fc738ac019e34e04957f25", "patch": "@@ -15,7 +15,7 @@ def is_mne_installed():\n def is_nibabel_installed():\n \"\"\"Test if nibabel is installed.\"\"\"\n try:\n- import mne\n+ import nibabel\n return True\n except:\n return False" } ]

[ { "sha": "c24f9b53e53b4e97328c2cc0371401682affb2b3", "filename": "visbrain/utils/cbar/CbarVisual.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/1ce16d13b9ef64910c0c72edda0dc17541bf2c7d/visbrain%2Futils%2Fcbar%2FCbarVisual.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/1ce16d13b9ef64910c0c72edda0dc17541bf2c7d/visbrain%2Futils%2Fcbar%2FCbarVisual.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fcbar%2FCbarVisual.py?ref=1ce16d13b9ef64910c0c72edda0dc17541bf2c7d", "patch": "@@ -82,7 +82,7 @@ def __init__(self, parent=None, **kwargs):\n # --------------------- Node ---------------------\n # Define node parent and limit node :\n self._cbNode = Node(name='Colorbar', parent=parent)\n- self._limNode = Node(name='Colorbar', parent=self._cbNode)\n+ self._limNode = Node(name='Limits', parent=self._cbNode)\n # Rescale between (-1., 1.) :\n self._rsc = vist.STTransform(scale=(self._width, 2 / self._n, 1),\n translate=(0, -1., 0))" } ]

[ { "sha": "c97ee53a5d675e1265a8668f41bc0f5424088e09", "filename": "visbrain/brain/interface/uiElements/uiSettings.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/2a128662d3a4590039140809f62542b4bd7edd25/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiSettings.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/2a128662d3a4590039140809f62542b4bd7edd25/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiSettings.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Finterface%2FuiElements%2FuiSettings.py?ref=2a128662d3a4590039140809f62542b4bd7edd25", "patch": "@@ -94,7 +94,7 @@ def _fcn_showShortPopup(self):\n def _fcn_openDoc(self):\n \"\"\"Open documentation.\"\"\"\n import webbrowser\n- webbrowser.open('http://etiennecmb.github.io/visbrain/brain.html')\n+ webbrowser.open('http://visbrain.org/brain.html')\n \n def _fcn_tab_changed(self):\n \"\"\"Executed function when the user change the tab.\"\"\"" } ]

[ { "sha": "8590a47c04c000f6c2377c9055b5b01e928d74a0", "filename": "visbrain/sleep/interface/uiInit.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/7a2787ada903709ac173b1550c40542f61972d80/visbrain%2Fsleep%2Finterface%2FuiInit.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/7a2787ada903709ac173b1550c40542f61972d80/visbrain%2Fsleep%2Finterface%2FuiInit.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiInit.py?ref=7a2787ada903709ac173b1550c40542f61972d80", "patch": "@@ -89,7 +89,7 @@ def set_data(self, tox=None, width=None, time=None, unit='seconds',\n pos[:, 2] = -10\n else:\n pos = np.full((1, 3), -10, dtype=np.float32)\n- self.markers.set_data(pos=pos, symbol='triangle_down',\n+ self.markers.set_data(pos=pos, symbol='triangle_down', size=20.,\n face_color='#42ab46', edge_width=0.)\n \n def set_camera(self, camera):" } ]

[ { "sha": "c6ab2c71c3a8467ddf357024223ae71178a78d64", "filename": "visbrain/sleep/interface/uiElements/uiMenu.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/a2cb2389997dd830c3f774312c0cde09d76dfa2e/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiMenu.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/a2cb2389997dd830c3f774312c0cde09d76dfa2e/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiMenu.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiMenu.py?ref=a2cb2389997dd830c3f774312c0cde09d76dfa2e", "patch": "@@ -283,7 +283,7 @@ def loadHypno(self):\n \"All files (*.*)\")\n if filename:\n # Load the hypnogram :\n- self._hypno = read_hypno(filename, self._N).astype(np.float32)\n+ self._hypno = read_hypno(filename, len(self._hypno))\n self._hyp.set_data(self._sf, self._hypno, self._time)\n # Update info table :\n self._fcn_infoUpdate()" } ]

[ { "sha": "e4128959f7b42cb65b2344a13df2ce0b96647dfa", "filename": "setup.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/fb75f96174f01b022ae3471b0c376fc5ca657a65/setup.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/fb75f96174f01b022ae3471b0c376fc5ca657a65/setup.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/setup.py?ref=fb75f96174f01b022ae3471b0c376fc5ca657a65", "patch": "@@ -66,7 +66,7 @@ def read(fname):\n 'Intended Audience :: Developers',\n 'Topic :: Scientific/Engineering :: Visualization',\n \"Programming Language :: Python :: 3 :: Only\",\n- \"Programming Language :: Python :: 3.5\"\n+ \"Programming Language :: Python :: 3.5\",\n \"Operating System :: MacOS\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: Microsoft :: Windows\"," } ]

[ { "sha": "ab3571c73256b621ad63691b4f96d2c2bc1f8c0e", "filename": "app/config/settings/production.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kahee/MySmallTrip/blob/0ca802b474c1018da5dace4593e09f1094867ab2/app%2Fconfig%2Fsettings%2Fproduction.py", "raw_url": "https://github.com/kahee/MySmallTrip/raw/0ca802b474c1018da5dace4593e09f1094867ab2/app%2Fconfig%2Fsettings%2Fproduction.py", "contents_url": "https://api.github.com/repos/kahee/MySmallTrip/contents/app%2Fconfig%2Fsettings%2Fproduction.py?ref=0ca802b474c1018da5dace4593e09f1094867ab2", "patch": "@@ -3,7 +3,7 @@\n secrets_base = json.loads(open(SECRETS_PRODUCTION, 'rt').read())\n \n DATABASES = secrets_base['DATABASES']\n-DEBUG = False\n+DEBUG = True\n ALLOWED_HOSTS = [\n 'localhost',\n '127.0.0.1'," } ]

[ { "sha": "8318761c4d544d3dd7840620edfe979d3684e601", "filename": "visbrain/brain/base/projection.py", "status": "modified", "additions": 2, "deletions": 2, "changes": 4, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/3caf315e2c5560e475e9fdab3fe2952dc5b18d62/visbrain%2Fbrain%2Fbase%2Fprojection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/3caf315e2c5560e475e9fdab3fe2952dc5b18d62/visbrain%2Fbrain%2Fbase%2Fprojection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Fbase%2Fprojection.py?ref=3caf315e2c5560e475e9fdab3fe2952dc5b18d62", "patch": "@@ -64,8 +64,8 @@ def _run_source_projection(self):\n # ============= MODULATIONS =============\n r, c = self._proj_radius, self._proj_contribute\n log_str = (\"Project {} onto the %s (radius=%f contribute=\"\n- \"%r\" % (self._proj_on, float(self._proj_radius),\n- self._proj_contribute))\n+ \"%r)\" % (self._proj_on, float(self._proj_radius),\n+ self._proj_contribute))\n if self._proj_type == 'activity':\n logger.info(log_str.format(\"source's activity\"))\n mod = self.sources.project_modulation(v, r, c)" } ]

[ { "sha": "006d70142121ae0483712e99310cda8bca4b75d8", "filename": "visbrain/objects/brain_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/0f9e986c7d7b39ad7c1de5756808ee4e870cc28c/visbrain%2Fobjects%2Fbrain_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/0f9e986c7d7b39ad7c1de5756808ee4e870cc28c/visbrain%2Fobjects%2Fbrain_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fbrain_obj.py?ref=0f9e986c7d7b39ad7c1de5756808ee4e870cc28c", "patch": "@@ -444,7 +444,7 @@ def parcellize(self, file, select=None, hemisphere=None, data=None,\n roi_labs.append(labels[sub_idx][0])\n mask[color_index] = 1.\n else:\n- logger.error(\"An error occured for index %i\" % k)\n+ logger.warning(\"No corresponding parcellates for index %i\" % k)\n logger.info(\"Selected parcellates : \\n - %s\" % \"\\n - \".join(roi_labs))\n # Keep an eye on data color and mask :\n self._data_color.append(color)" } ]

[ { "sha": "a6352a45d70b817c71b26ceba843c9b638bc6a4d", "filename": "examples/brain/11_convert_mesh_data.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/ec0c2fba0f441b379d495927ff87ff6952abcc11/examples%2Fbrain%2F11_convert_mesh_data.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/ec0c2fba0f441b379d495927ff87ff6952abcc11/examples%2Fbrain%2F11_convert_mesh_data.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/examples%2Fbrain%2F11_convert_mesh_data.py?ref=ec0c2fba0f441b379d495927ff87ff6952abcc11", "patch": "@@ -38,7 +38,7 @@\n # Add the template :\n add_brain_template('Custom', vertices, faces, normals)\n \n-vb = Brain(a_template='Custom')\n+vb = Brain(brain_template='Custom')\n vb.show()\n \n # If you want to remove the template :" } ]

[ { "sha": "9653c2290a532ad546f767afa0d185aa16b50115", "filename": "visbrain/objects/brain_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/1b60b034257bb679e080fcc365eef3e50040b055/visbrain%2Fobjects%2Fbrain_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/1b60b034257bb679e080fcc365eef3e50040b055/visbrain%2Fobjects%2Fbrain_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fbrain_obj.py?ref=1b60b034257bb679e080fcc365eef3e50040b055", "patch": "@@ -343,7 +343,7 @@ def add_activation(self, data=None, vertices=None, smoothing_steps=20,\n if is_under:\n mask[sm_mat.row[sm_data >= hide_under]] = 1.\n else:\n- mask[:] = 0.\n+ mask[:] = 1.\n elif isinstance(file, str):\n assert os.path.isfile(file)\n logger.info(\"Add overlay to the {} brain template \"" } ]

[ { "sha": "d3a11b8cf0c69f2629134d5d52290e69733e49db", "filename": "visbrain/objects/brain_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/e3396d01dbccc6b805db407a9848598e1d4d42fb/visbrain%2Fobjects%2Fbrain_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/e3396d01dbccc6b805db407a9848598e1d4d42fb/visbrain%2Fobjects%2Fbrain_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fbrain_obj.py?ref=e3396d01dbccc6b805db407a9848598e1d4d42fb", "patch": "@@ -281,7 +281,7 @@ def project_sources(self, s_obj, project='modulation', radius=10.,\n the color of the masked sources is going to be used.\n \"\"\"\n kw = self._update_cbar_args(cmap, clim, vmin, vmax, under, over)\n- self._default_cblabel = \"Source's %s\" % project\n+ self._default_cblabel = \"Source %s\" % project\n _project_sources_data(s_obj, self, project, radius, contribute,\n mask_color=mask_color, **kw)\n " } ]

[ { "sha": "8a6d112247087a5e3261208661f5b08b145a0c51", "filename": "visbrain/utils/physio.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/570aade6b249709749c72c362e1bfc895955a2bf/visbrain%2Futils%2Fphysio.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/570aade6b249709749c72c362e1bfc895955a2bf/visbrain%2Futils%2Fphysio.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fphysio.py?ref=570aade6b249709749c72c362e1bfc895955a2bf", "patch": "@@ -402,7 +402,7 @@ def remove_predefined_roi(name):\n raise ValueError(\"Can not remove a default ROI template.\")\n path_to_file = get_data_path(folder='roi', file=name + '.npz')\n os.remove(path_to_file)\n- logger.info(\"%s ROI object removed.\")\n+ logger.info(\"%s ROI object removed.\" % name)\n \n \n def generate_eeg(sf=512., n_pts=1000, n_channels=1, n_trials=1, n_sines=100," } ]

[ { "sha": "1585b78839098fc7dd0edd586b6f00c2b87e26fc", "filename": "visbrain/objects/roi_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/7e9f621c65b1190d786a6ea65a7c7640dc54d7a6/visbrain%2Fobjects%2Froi_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/7e9f621c65b1190d786a6ea65a7c7640dc54d7a6/visbrain%2Fobjects%2Froi_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Froi_obj.py?ref=7e9f621c65b1190d786a6ea65a7c7640dc54d7a6", "patch": "@@ -228,7 +228,7 @@ def save(self):\n save_as_predefined_roi(self.name, self.vol, labels, index, self.hdr)\n \n def remove(self):\n- \"\"\"Remove an ROI object.\"\"\"\n+ \"\"\"Remove the ROI object.\"\"\"\n remove_predefined_roi(self.name)\n \n def get_labels(self, save_to_path=None):" } ]

[ { "sha": "437cc0a905918e3e7c68eb5136b5c961b4ff8c8b", "filename": "visbrain/objects/brain_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/4e1b72602aceac8466e4b2d4a276415c4e110f16/visbrain%2Fobjects%2Fbrain_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/4e1b72602aceac8466e4b2d4a276415c4e110f16/visbrain%2Fobjects%2Fbrain_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fbrain_obj.py?ref=4e1b72602aceac8466e4b2d4a276415c4e110f16", "patch": "@@ -443,7 +443,7 @@ def parcellize(self, file, select=None, hemisphere=None, data=None,\n u_colors = np.zeros((len(u_idx), 4), dtype=float)\n kw = self._update_cbar_args(cmap, clim, vmin, vmax, under, over)\n data_color = array2colormap(data, **kw)\n- self._default_cblabel = \"Parcellate's data\"\n+ self._default_cblabel = \"Parcellates data\"\n else:\n logger.info(\"Use default color included in the file\")\n u_colors = u_colors.astype(float) / 255." } ]

[ { "sha": "fbf8e6f0cfcaa1bf450f5f78ce4435430203ba4d", "filename": "visbrain/objects/source_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/13451452ef72cc26e80b8433058944d9c94f0b59/visbrain%2Fobjects%2Fsource_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/13451452ef72cc26e80b8433058944d9c94f0b59/visbrain%2Fobjects%2Fsource_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fsource_obj.py?ref=13451452ef72cc26e80b8433058944d9c94f0b59", "patch": "@@ -381,7 +381,7 @@ def analyse_sources(self, roi_obj='talairach', replace_bad=True,\n if isinstance(keep_only, (list, tuple)):\n idx_to_keep = []\n for k, i in product(df.keys(), keep_only):\n- idx_to_keep.append(df[k].astype(str).str.contains(i))\n+ idx_to_keep.append(np.array(df[k], dtype=object) == i)\n idx_to_keep = np.vstack(idx_to_keep).sum(0).astype(bool)\n df = df.loc[idx_to_keep]\n self.visible = idx_to_keep" } ]

[ { "sha": "235f0a087b0fd0777de1598ed0416ba51ebbef0c", "filename": "visbrain/tests/_tests_visbrain.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/b5337c5943e3e85534f03e2580deb57f0f7571b0/visbrain%2Ftests%2F_tests_visbrain.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/b5337c5943e3e85534f03e2580deb57f0f7571b0/visbrain%2Ftests%2F_tests_visbrain.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Ftests%2F_tests_visbrain.py?ref=b5337c5943e3e85534f03e2580deb57f0f7571b0", "patch": "@@ -15,7 +15,7 @@ def need_file(self, file):\n \"\"\"Path to a needed file from visbrain-data.\"\"\"\n return download_file(file)\n \n- def to_tmp_dir(self, file):\n+ def to_tmp_dir(self, file=None):\n \"\"\"Path to a tmp dir in visbrain-data.\"\"\"\n vb_path = os.path.join(path_to_visbrain_data(), 'tmp')\n if not os.path.exists(vb_path):" } ]

[ { "sha": "0588db3da10ba82ded6fe902bf495742bcda0524", "filename": "visbrain/tests/test_files.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/36183ee3e0b7aa5d03a711bb50b76860c7c572d7/visbrain%2Ftests%2Ftest_files.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/36183ee3e0b7aa5d03a711bb50b76860c7c572d7/visbrain%2Ftests%2Ftest_files.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Ftests%2Ftest_files.py?ref=36183ee3e0b7aa5d03a711bb50b76860c7c572d7", "patch": "@@ -1,7 +1,7 @@\n \"\"\"Test if needed files are successfully installed with visbrain.\"\"\"\n import os\n \n-from visbrain.utils import get_data_path\n+from visbrain.io import get_data_path\n \n \n def _test_file(name, path):" } ]

[ { "sha": "7549ff4034aa7cd3c4d64057275be089117cd2b7", "filename": "visbrain/brain/user.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/9ef51b1d2f6dd1105f76fba9da5dd17672443bc2/visbrain%2Fbrain%2Fuser.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/9ef51b1d2f6dd1105f76fba9da5dd17672443bc2/visbrain%2Fbrain%2Fuser.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Fuser.py?ref=9ef51b1d2f6dd1105f76fba9da5dd17672443bc2", "patch": "@@ -175,7 +175,7 @@ def screenshot(self, saveas, canvas='main', print_size=None, dpi=300.,\n self._objsPage.setCurrentIndex(1)\n self._csView.canvas.show(True)\n canvas = self._csView.canvas\n- widget = self._csGrid['grid']\n+ widget = self._csView.wc\n else:\n raise ValueError(\"The canvas \" + canvas + \" doesn't exist. Use \"\n \"either 'main', 'colorbar' or 'cross-sections'\")" } ]

[ { "sha": "89e31a641428c749272e7c9465bd6ec74710f55e", "filename": "visbrain/brain/user.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/ddc68b1cfb752b8837ef7b5a2b77bef69530bce6/visbrain%2Fbrain%2Fuser.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/ddc68b1cfb752b8837ef7b5a2b77bef69530bce6/visbrain%2Fbrain%2Fuser.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Fuser.py?ref=ddc68b1cfb752b8837ef7b5a2b77bef69530bce6", "patch": "@@ -336,7 +336,7 @@ def sources_control(self, name, data=None, color=None, symbol=None,\n obj.mask = mask\n obj.mask_color = mask_color\n obj.alpha = alpha\n- obj.visible = visible\n+ obj.visible_obj = visible\n \n def sources_display(self, name=None, select='all'):\n \"\"\"Select sources to display." } ]

[ { "sha": "c7adcf7d6f21d1b8b5edb5bc9ca02b83c9115460", "filename": "visbrain/objects/pacmap_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/9430b52560bbacca6c211ecb16278fd6bc1e7818/visbrain%2Fobjects%2Fpacmap_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/9430b52560bbacca6c211ecb16278fd6bc1e7818/visbrain%2Fobjects%2Fpacmap_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fpacmap_obj.py?ref=9430b52560bbacca6c211ecb16278fd6bc1e7818", "patch": "@@ -1,4 +1,4 @@\n-\"\"\"Spectrogram object.\"\"\"\n+\"\"\"Pacmap object.\"\"\"\n import numpy as np\n \n from .image_obj import ImageObj" } ]

[ { "sha": "a3d23045df59816d08980eb75aa0b709bced64bc", "filename": "visbrain/utils/sleep/detection.py", "status": "modified", "additions": 2, "deletions": 2, "changes": 4, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/0483d9bf2b28d12259093baa3e1869b513824fca/visbrain%2Futils%2Fsleep%2Fdetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/0483d9bf2b28d12259093baa3e1869b513824fca/visbrain%2Futils%2Fsleep%2Fdetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fsleep%2Fdetection.py?ref=0483d9bf2b28d12259093baa3e1869b513824fca", "patch": "@@ -688,7 +688,7 @@ def mtdetect(data, sf, threshold, hypno, rem_only, fmin=0., fmax=50.,\n idx_mt = _index_to_events(np.c_[idx_start, idx_stop][good_amp])\n \n # Compute number, duration, density\n- if idx_hard.size:\n+ if idx_mt.size:\n idx_start, idx_stop = _events_to_index(idx_mt).T\n number = idx_start.size\n duration_ms = (idx_stop - idx_start) * (1000 / sf)\n@@ -698,7 +698,7 @@ def mtdetect(data, sf, threshold, hypno, rem_only, fmin=0., fmax=50.,\n \n else:\n return np.array([], dtype=int), 0., 0., np.array([], dtype=int)\n- \n+\n else:\n return np.array([], dtype=int), 0., 0., np.array([], dtype=int)\n " } ]

[ { "sha": "d4e0be4a0a12e6e159a63426c65af2c6c4b75078", "filename": "visbrain/objects/tests/test_vector_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/42c34e6ecda1213755fab1e6409a0800ed2cc2aa/visbrain%2Fobjects%2Ftests%2Ftest_vector_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/42c34e6ecda1213755fab1e6409a0800ed2cc2aa/visbrain%2Fobjects%2Ftests%2Ftest_vector_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Ftests%2Ftest_vector_obj.py?ref=42c34e6ecda1213755fab1e6409a0800ed2cc2aa", "patch": "@@ -42,7 +42,7 @@ def test_builtin_methods(self):\n \n def test_attributes(self):\n \"\"\"Test function connect_attributes.\"\"\"\n- from visbrain.visuals.arrow import ARROW_TYPES\n+ from vispy.visuals.line.arrow import ARROW_TYPES\n self.assert_and_test('line_width', 4.4)\n for k in ARROW_TYPES:\n self.assert_and_test('arrow_type', k)" } ]

[ { "sha": "63cc75350ca491d2f0a99118f6b4a32dbd1bf8cc", "filename": "visbrain/objects/hypno_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/638175ca6ffafcb2734861691ec10f23ce3677b6/visbrain%2Fobjects%2Fhypno_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/638175ca6ffafcb2734861691ec10f23ce3677b6/visbrain%2Fobjects%2Fhypno_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Fhypno_obj.py?ref=638175ca6ffafcb2734861691ec10f23ce3677b6", "patch": "@@ -63,7 +63,7 @@ def __init__(self, name, data=None, time=None, art=-1, wake=0, n1=1, n2=2,\n file, ext = os.path.splitext(name)\n if ext in ['.csv', '.txt', '.hyp']:\n data, sf = read_hypno(name)\n- name, time = file, np.arange(len(data)) / sf\n+ name, time = os.path.split(name)[1], np.arange(len(data)) / sf\n # Initialize VisbrainObject and Hypnogram visuam creation :\n VisbrainObject.__init__(self, name, parent, transform, verbose, **kw)\n self.line = Hypnogram(data, time, art, wake, n1, n2, n3, rem," } ]

[ { "sha": "14a5e1042f873a1e24ad7bde7758e90f647fc246", "filename": "visbrain/objects/tests/test_brain_obj.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/be9258ca252f6ac579bd08e8f12a8f2ea2252c60/visbrain%2Fobjects%2Ftests%2Ftest_brain_obj.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/be9258ca252f6ac579bd08e8f12a8f2ea2252c60/visbrain%2Fobjects%2Ftests%2Ftest_brain_obj.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fobjects%2Ftests%2Ftest_brain_obj.py?ref=be9258ca252f6ac579bd08e8f12a8f2ea2252c60", "patch": "@@ -43,7 +43,7 @@ def test_get_template_list(self):\n b_obj._get_template_path()\n b_obj._get_default_templates()\n b_obj._get_downloadable_templates()\n- b_obj._add_downloadable_templates()\n+ b_obj._add_downloadable_templates('white')\n \n def test_rotation(self):\n \"\"\"Test function rotation.\"\"\"" } ]

[ { "sha": "e1e1d0674232d571cb33caafad74c1057be91883", "filename": "visbrain/sleep/interface/ui_elements/ui_settings.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/ac2e9917759c28bc301e287ef32d26c8266ec4f7/visbrain%2Fsleep%2Finterface%2Fui_elements%2Fui_settings.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/ac2e9917759c28bc301e287ef32d26c8266ec4f7/visbrain%2Fsleep%2Finterface%2Fui_elements%2Fui_settings.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2Fui_elements%2Fui_settings.py?ref=ac2e9917759c28bc301e287ef32d26c8266ec4f7", "patch": "@@ -62,7 +62,7 @@ def _fcn_slider_move(self):\n hypref = int(self._hypno[t[0]])\n hypconv = self._hconv[hypref]\n hypcol = self._hypcolor[hypconv]\n- stage = str(self._hypYLabels[hypconv + 1].text())\n+ stage = str(self._hypYLabels[hypconv + 2].text())\n \n # ================= MESH UPDATES =================\n # ---------------------------------------" } ]

[ { "sha": "047e8468b78b5a6f9b3649872d58ea432e8f437b", "filename": "examples/brain/05_region_of_interest.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/cb252c4b37d609d3614db9f359c2ff46dea501bc/examples%2Fbrain%2F05_region_of_interest.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/cb252c4b37d609d3614db9f359c2ff46dea501bc/examples%2Fbrain%2F05_region_of_interest.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/examples%2Fbrain%2F05_region_of_interest.py?ref=cb252c4b37d609d3614db9f359c2ff46dea501bc", "patch": "@@ -66,7 +66,7 @@\n \n \"\"\"Select the colorbar of the ROI\n \"\"\"\n-vb.cbar_select('ROI')\n+vb.cbar_select('roi')\n \n \"\"\"Eventualy, take a screenshot\n \"\"\"" } ]

[ { "sha": "7f718014ce71809a8b75169a3d668c0cbcfbec63", "filename": "doc/examples/features_detection/plot_gabors_from_astronaut.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/e3287c8cda606d902a76926baaadbbb44625ee2a/doc%2Fexamples%2Ffeatures_detection%2Fplot_gabors_from_astronaut.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/e3287c8cda606d902a76926baaadbbb44625ee2a/doc%2Fexamples%2Ffeatures_detection%2Fplot_gabors_from_astronaut.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fexamples%2Ffeatures_detection%2Fplot_gabors_from_astronaut.py?ref=e3287c8cda606d902a76926baaadbbb44625ee2a", "patch": "@@ -51,7 +51,7 @@\n patch_shape = 8, 8\n n_filters = 49\n \n-astro = color.rgb2gray(data.astronaut())\n+astro = np.ascontiguousarray(color.rgb2gray(data.astronaut()))\n \n # -- filterbank1 on original image\n patches1 = view_as_windows(astro, patch_shape)" } ]

[ { "sha": "862d8e32a3d81d7198b77b871022fbc5aec32b47", "filename": "doc/examples/numpy_operations/plot_view_as_blocks.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/976ac85e4520b0174f69e95dfcddde0dd7402386/doc%2Fexamples%2Fnumpy_operations%2Fplot_view_as_blocks.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/976ac85e4520b0174f69e95dfcddde0dd7402386/doc%2Fexamples%2Fnumpy_operations%2Fplot_view_as_blocks.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fexamples%2Fnumpy_operations%2Fplot_view_as_blocks.py?ref=976ac85e4520b0174f69e95dfcddde0dd7402386", "patch": "@@ -25,7 +25,7 @@\n \n \n # -- get `astronaut` from skimage.data in grayscale\n-l = color.rgb2gray(data.astronaut())\n+l = np.ascontiguousarray(color.rgb2gray(data.astronaut()))\n \n # -- size of blocks\n block_shape = (4, 4)" } ]

[ { "sha": "44de0bb14eaa94f644b1cc03bd6291976d5611e3", "filename": "skimage/external/tifffile/tifffile.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/8c5d30c2ac9a3a27db2d2648bd6e84a2813d9c66/skimage%2Fexternal%2Ftifffile%2Ftifffile.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/8c5d30c2ac9a3a27db2d2648bd6e84a2813d9c66/skimage%2Fexternal%2Ftifffile%2Ftifffile.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fexternal%2Ftifffile%2Ftifffile.py?ref=8c5d30c2ac9a3a27db2d2648bd6e84a2813d9c66", "patch": "@@ -2208,7 +2208,7 @@ class TiffSequence(object):\n \n The data shape and dtype of all files must match.\n \n- Properties\n+ Attributes\n ----------\n files : list\n List of file names." } ]

[ { "sha": "c5041340cb12378a5b444110d17edef21be0a6eb", "filename": "skimage/_build.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/f4cbcf29f394fb31df208cb7246614b5fa6ac442/skimage%2F_build.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/f4cbcf29f394fb31df208cb7246614b5fa6ac442/skimage%2F_build.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2F_build.py?ref=f4cbcf29f394fb31df208cb7246614b5fa6ac442", "patch": "@@ -86,7 +86,7 @@ def process_tempita_pyx(fromfile):\n raise Exception('Building requires Tempita: '\n 'pip install --user Tempita')\n from_filename = tempita.Template.from_filename\n- template = from_filename(fromfile) #, encoding=sys.getdefaultencoding())\n+ template = from_filename(fromfile, encoding=sys.getdefaultencoding())\n pyxcontent = template.substitute()\n assert fromfile.endswith('.pyx.in')\n pyxfile = fromfile[:-len('.pyx.in')] + '.pyx'" } ]

[ { "sha": "f5db582d91ddd652e546d0602d8a4a8a6cd31dd7", "filename": "skimage/_build.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/926af0ff53a1f1eef9ed8e267a140e9e0b2e3098/skimage%2F_build.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/926af0ff53a1f1eef9ed8e267a140e9e0b2e3098/skimage%2F_build.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2F_build.py?ref=926af0ff53a1f1eef9ed8e267a140e9e0b2e3098", "patch": "@@ -91,6 +91,6 @@ def process_tempita_pyx(fromfile):\n if not fromfile.endswith('.pyx.in'):\n raise ValueError(\"Unexpected extension of %s.\" % fromfile)\n \n- pyxfile = os.path.splitext(fromfile)[0] + '.pyx'\n+ pyxfile = os.path.splitext(fromfile)[0] # split off the .in ending\n with open(pyxfile, \"w\") as f:\n f.write(pyxcontent)" } ]

[ { "sha": "b4a0d44ae61730b795ddaea804e64f9db46a0cd7", "filename": "skimage/feature/peak.py", "status": "modified", "additions": 2, "deletions": 2, "changes": 4, "blob_url": "https://github.com/matsuken92/scikit-image/blob/25d15c603d837a19f9d281ff8bee9dfbadc22ea9/skimage%2Ffeature%2Fpeak.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/25d15c603d837a19f9d281ff8bee9dfbadc22ea9/skimage%2Ffeature%2Fpeak.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffeature%2Fpeak.py?ref=25d15c603d837a19f9d281ff8bee9dfbadc22ea9", "patch": "@@ -4,7 +4,7 @@\n \n \n def peak_local_max(image, min_distance=1, threshold_abs=None,\n- threshold_rel=None, exclude_border=1, indices=True,\n+ threshold_rel=None, exclude_border=True, indices=True,\n num_peaks=np.inf, footprint=None, labels=None):\n \"\"\"Find peaks in an image as coordinate list or boolean mask.\n \n@@ -92,7 +92,7 @@ def peak_local_max(image, min_distance=1, threshold_abs=None,\n array([[10, 10, 10]])\n \n \"\"\"\n- \n+\n if type(exclude_border) == bool:\n exclude_border = min_distance if exclude_border else 0\n " } ]

[ { "sha": "c4d1aa3231b737dbddd6c1c6ad655cb38e4d0327", "filename": "skimage/feature/peak.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/20d4e7dde8dc528ad27fb3ee368d8af7ef108979/skimage%2Ffeature%2Fpeak.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/20d4e7dde8dc528ad27fb3ee368d8af7ef108979/skimage%2Ffeature%2Fpeak.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffeature%2Fpeak.py?ref=20d4e7dde8dc528ad27fb3ee368d8af7ef108979", "patch": "@@ -139,7 +139,7 @@ def peak_local_max(image, min_distance=1, threshold_abs=None,\n image_max = ndi.maximum_filter(image, size=size, mode='constant')\n mask = image == image_max\n \n- if exclude_border and (footprint is not None):\n+ if exclude_border:\n # zero out the image borders\n for i in range(mask.ndim):\n mask = mask.swapaxes(0, i)" } ]

[ { "sha": "2a491da8e75d02a43fc8925158ecb97f7c7290f4", "filename": "skimage/measure/_structural_similarity.py", "status": "modified", "additions": 3, "deletions": 3, "changes": 6, "blob_url": "https://github.com/matsuken92/scikit-image/blob/5ac3255065f69a07d15080ac1e98536afde07de1/skimage%2Fmeasure%2F_structural_similarity.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/5ac3255065f69a07d15080ac1e98536afde07de1/skimage%2Fmeasure%2F_structural_similarity.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2F_structural_similarity.py?ref=5ac3255065f69a07d15080ac1e98536afde07de1", "patch": "@@ -102,7 +102,7 @@ def compare_ssim(X, Y, win_size=None, gradient=False,\n if full:\n S = np.empty(X.shape)\n for ch in range(nch):\n- ch_result = structural_similarity(X[..., ch], Y[..., ch], **args)\n+ ch_result = compare_ssim(X[..., ch], Y[..., ch], **args)\n if gradient and full:\n mssim[..., ch], G[..., ch], S[..., ch] = ch_result\n elif gradient:\n@@ -226,6 +226,6 @@ def structural_similarity(X, Y, win_size=None, gradient=False,\n gaussian_weights=False, full=False, **kwargs):\n \"\"\"\"\"\" + compare_ssim.__doc__\n return compare_ssim(X, Y, win_size=win_size, gradient=gradient,\n- dynamic_range=dynamic_range, \n- multichannel=multichannel, \n+ dynamic_range=dynamic_range,\n+ multichannel=multichannel,\n gaussian_weights=gaussian_weights, full=full, **kwargs)" } ]

[ { "sha": "d582636f42c56c85f04f01e190207bd2151a086e", "filename": "skimage/transform/pyramids.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/795287875495c3a7e25fa15d714ee7d9d21003c9/skimage%2Ftransform%2Fpyramids.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/795287875495c3a7e25fa15d714ee7d9d21003c9/skimage%2Ftransform%2Fpyramids.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ftransform%2Fpyramids.py?ref=795287875495c3a7e25fa15d714ee7d9d21003c9", "patch": "@@ -259,7 +259,7 @@ def pyramid_laplacian(image, max_layer=-1, downscale=2, sigma=None, order=1,\n References\n ----------\n .. [1] http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf\n- .. [2] http://sepwww.stanford.edu/~morgan/texturematch/paper_html/node3.html\n+ .. [2] http://sepwww.stanford.edu/data/media/public/sep/morgan/texturematch/paper_html/node3.html\n \n \"\"\"\n " } ]

[ { "sha": "4eb83743207ebff875669038ab1ee0fd6bde0176", "filename": "skimage/color/colorconv.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/8abe35797241cd8e496c7c0fb0dbc4964a51845a/skimage%2Fcolor%2Fcolorconv.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/8abe35797241cd8e496c7c0fb0dbc4964a51845a/skimage%2Fcolor%2Fcolorconv.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fcolor%2Fcolorconv.py?ref=8abe35797241cd8e496c7c0fb0dbc4964a51845a", "patch": "@@ -331,7 +331,7 @@ def hsv2rgb(hsv):\n \n yiq_from_rgb = np.array([[0.299 , 0.587 , 0.114 ],\n [0.59590059, -0.27455667, -0.32134392],\n- [0.21153661, -0.52273617, 0.31119955]]).T\n+ [0.21153661, -0.52273617, 0.31119955]])\n \n rgb_from_yiq = linalg.inv(yiq_from_rgb)\n " } ]

[ { "sha": "660b86f6945ad0cefc02a31cc6fb75b3381ec807", "filename": "skimage/measure/fit.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/6f4cbebd6d81cc2aa69dfddf354a01a8b5969a54/skimage%2Fmeasure%2Ffit.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/6f4cbebd6d81cc2aa69dfddf354a01a8b5969a54/skimage%2Fmeasure%2Ffit.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2Ffit.py?ref=6f4cbebd6d81cc2aa69dfddf354a01a8b5969a54", "patch": "@@ -765,7 +765,7 @@ def ransac(data, model_class, min_samples, residual_threshold,\n where the probability (confidence) is typically set to a high value\n such as 0.99, and e is the current fraction of inliers w.r.t. the\n total number of samples.\n- random_state : int, RandomState instance or None, optional (default=None)\n+ random_state : int, RandomState instance or None, optional\n If int, random_state is the seed used by the random number generator;\n If RandomState instance, random_state is the random number generator;\n If None, the random number generator is the RandomState instance used" } ]

[ { "sha": "d21bd5794e967e5ba9e446d364fb53c0b4588dbf", "filename": "skimage/filters/thresholding.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/8b6460b06eb333af9de44330b65fb6308e453f28/skimage%2Ffilters%2Fthresholding.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/8b6460b06eb333af9de44330b65fb6308e453f28/skimage%2Ffilters%2Fthresholding.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Fthresholding.py?ref=8b6460b06eb333af9de44330b65fb6308e453f28", "patch": "@@ -133,7 +133,7 @@ def threshold_otsu(image, nbins=256):\n \n # Check if the image is multi-colored or not\n if image.min() == image.max():\n- raise TypeError(\"threshold_otsu is expected to work with images \" \\\n+ raise ValueError(\"threshold_otsu is expected to work with images \" \\\n \"having more than one color. The input image seems \" \\\n \"to have just one color {0}.\".format(image.min()))\n " } ]

[ { "sha": "c5d583b28c1013c2ca0ee227e0230d548e328d21", "filename": "skimage/filters/tests/test_thresholding.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/1d7c4fd535d27c69bb4106bf962c2805362e1ac8/skimage%2Ffilters%2Ftests%2Ftest_thresholding.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/1d7c4fd535d27c69bb4106bf962c2805362e1ac8/skimage%2Ffilters%2Ftests%2Ftest_thresholding.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Ftests%2Ftest_thresholding.py?ref=1d7c4fd535d27c69bb4106bf962c2805362e1ac8", "patch": "@@ -167,7 +167,7 @@ def test_otsu_astro_image():\n \n def test_otsu_one_color_image():\n img = np.ones((10, 10), dtype=np.uint8)\n- assert_raises(TypeError, threshold_otsu, img)\n+ assert_raises(ValueError, threshold_otsu, img)\n \n def test_li_camera_image():\n camera = skimage.img_as_ubyte(data.camera())" } ]

[ { "sha": "3793c9f5014e15b5a0ee1d8f937b597c8e05cbfd", "filename": "skimage/transform/_geometric.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/dc81adad6a2f462dcc649c12dbe30210dcf42ff9/skimage%2Ftransform%2F_geometric.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/dc81adad6a2f462dcc649c12dbe30210dcf42ff9/skimage%2Ftransform%2F_geometric.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ftransform%2F_geometric.py?ref=dc81adad6a2f462dcc649c12dbe30210dcf42ff9", "patch": "@@ -1147,7 +1147,7 @@ def _clip_warp_output(input_image, output_image, order, mode, cval, clip):\n output_image[cval_mask] = cval\n \n \n-def warp(image, inverse_map=None, map_args={}, output_shape=None, order=1,\n+def warp(image, inverse_map, map_args={}, output_shape=None, order=1,\n mode='constant', cval=0., clip=True, preserve_range=False):\n \"\"\"Warp an image according to a given coordinate transformation.\n " } ]

[ { "sha": "3a506f850dd642db9853153c90a0826cc5a746b2", "filename": "skimage/data/__init__.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/749f5876ce317c56224f700c4de488a472704a5b/skimage%2Fdata%2F__init__.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/749f5876ce317c56224f700c4de488a472704a5b/skimage%2Fdata%2F__init__.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fdata%2F__init__.py?ref=749f5876ce317c56224f700c4de488a472704a5b", "patch": "@@ -160,7 +160,7 @@ def horse():\n (marauder).\n \n \"\"\"\n- with expected_warnings(['precision loss']):\n+ with expected_warnings(['Possible precision loss', 'Possible sign loss']):\n return img_as_bool(load(\"horse.png\", as_grey=True))\n \n " } ]

[ { "sha": "7f6c6b7b1399ed444d0c5c8eaf243179273cb5cf", "filename": "skimage/restoration/_denoise.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/72577e9764fe1cf1920f2f394d0de64c7be71fb7/skimage%2Frestoration%2F_denoise.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/72577e9764fe1cf1920f2f394d0de64c7be71fb7/skimage%2Frestoration%2F_denoise.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Frestoration%2F_denoise.py?ref=72577e9764fe1cf1920f2f394d0de64c7be71fb7", "patch": "@@ -463,7 +463,7 @@ def denoise_wavelet(img, sigma=None, wavelet='db1', mode='soft',\n \n if multichannel:\n out = np.empty_like(img)\n- for c in range(img.ndim):\n+ for c in range(img.shape[-1]):\n out[..., c] = _wavelet_threshold(img[..., c], wavelet=wavelet,\n mode=mode, sigma=sigma)\n else:" } ]

[ { "sha": "ab6e81f07017677806cc277763a170c304509045", "filename": "skimage/filters/thresholding.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/cb5288a4658f453c0f1dfa9e20f4dd41962cebbc/skimage%2Ffilters%2Fthresholding.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/cb5288a4658f453c0f1dfa9e20f4dd41962cebbc/skimage%2Ffilters%2Fthresholding.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Fthresholding.py?ref=cb5288a4658f453c0f1dfa9e20f4dd41962cebbc", "patch": "@@ -246,7 +246,7 @@ def threshold_otsu(image, nbins=256):\n -----\n The input image must be grayscale.\n \"\"\"\n- if image.shape[-1] in (3, 4):\n+ if len(image.shape) > 2 and image.shape[-1] in (3, 4):\n msg = \"threshold_otsu is expected to work correctly only for \" \\\n \"grayscale images; image shape {0} looks like an RGB image\"\n warn(msg.format(image.shape))" } ]

[ { "sha": "fcd185abd2adf22d6aac9beba4d7a8fcbe46ed35", "filename": "skimage/io/_plugins/pil_plugin.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/2fb59b92435b9f67c091871cba701323b784ade7/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/2fb59b92435b9f67c091871cba701323b784ade7/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fio%2F_plugins%2Fpil_plugin.py?ref=2fb59b92435b9f67c091871cba701323b784ade7", "patch": "@@ -48,7 +48,7 @@ def imread(fname, dtype=None, img_num=None, **kwargs):\n im = Image.open(f)\n return pil_to_ndarray(im, dtype=dtype, img_num=img_num)\n else:\n- im = Image.open(f)\n+ im = Image.open(fname)\n return pil_to_ndarray(im, dtype=dtype, img_num=img_num)\n \n " } ]

[ { "sha": "4e83043895294bfe13160b5bf6ef85cff6e6f5e6", "filename": "skimage/io/_plugins/pil_plugin.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/f6653b781f0064298f174007c2c67e92bf48de61/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/f6653b781f0064298f174007c2c67e92bf48de61/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fio%2F_plugins%2Fpil_plugin.py?ref=f6653b781f0064298f174007c2c67e92bf48de61", "patch": "@@ -5,7 +5,7 @@\n from PIL import Image\n \n from ...util import img_as_ubyte, img_as_uint\n-from .tifffile import imread as tif_imread, imsave as tif_imsave\n+from .tifffile_plugin import imread as tif_imread, imsave as tif_imsave\n \n \n def imread(fname, dtype=None, img_num=None, **kwargs):" } ]

[ { "sha": "7fb01c8eb0d21f82a0d1886a268e7557c70683ab", "filename": "skimage/io/_plugins/matplotlib_plugin.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/9fb7676c92019f3b04eb0dcc2f6227870473e703/skimage%2Fio%2F_plugins%2Fmatplotlib_plugin.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/9fb7676c92019f3b04eb0dcc2f6227870473e703/skimage%2Fio%2F_plugins%2Fmatplotlib_plugin.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fio%2F_plugins%2Fmatplotlib_plugin.py?ref=9fb7676c92019f3b04eb0dcc2f6227870473e703", "patch": "@@ -4,7 +4,7 @@\n import matplotlib.pyplot as plt\n from ...util import dtype as dtypes\n from ...exposure import is_low_contrast\n-from ..util.colormap import viridis\n+from ...util.colormap import viridis\n \n _default_colormap = 'gray'\n _nonstandard_colormap = viridis" } ]

[ { "sha": "f48d7aed9e99fa7f0383b4ad14c6865724c2324a", "filename": "doc/examples/plot_edge_modes.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/f45a72ee1f9ccdf48ad79622343817dc06a82194/doc%2Fexamples%2Fplot_edge_modes.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/f45a72ee1f9ccdf48ad79622343817dc06a82194/doc%2Fexamples%2Fplot_edge_modes.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fexamples%2Fplot_edge_modes.py?ref=f45a72ee1f9ccdf48ad79622343817dc06a82194", "patch": "@@ -7,7 +7,7 @@\n interpolation in routines such as ``skimage.transform.rescale`` and\n ``skimage.transform.resize``.\n \"\"\"\n-from skimage._shared._interpolation_test import extend_image\n+from skimage._shared.interpolation import extend_image\n import skimage.data\n import matplotlib.pyplot as plt\n import numpy as np" } ]

[ { "sha": "d68abf02bbada3b8ab13ffb8310907c22558b79c", "filename": "doc/examples/plot_edge_modes.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/81764d8ed57829ebed43a3f33b73c3d3b963a5f7/doc%2Fexamples%2Fplot_edge_modes.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/81764d8ed57829ebed43a3f33b73c3d3b963a5f7/doc%2Fexamples%2Fplot_edge_modes.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fexamples%2Fplot_edge_modes.py?ref=81764d8ed57829ebed43a3f33b73c3d3b963a5f7", "patch": "@@ -19,7 +19,7 @@\n img[:1, :1] += 2\n img[8, 8] = 4\n \n-modes = ['constant', 'nearest', 'wrap', 'reflect', 'mirror']\n+modes = ['constant', 'edge', 'wrap', 'reflect', 'symmetric']\n fig, axes = plt.subplots(1, 5, figsize=(15, 5))\n for n, mode in enumerate(modes):\n img_extended = extend_image(img, pad=img.shape[0], mode=mode)" } ]

[ { "sha": "f6aca943e3989646551eb561d435bd260f54053d", "filename": "doc/examples/plot_adapt_rgb.py", "status": "modified", "additions": 4, "deletions": 4, "changes": 8, "blob_url": "https://github.com/matsuken92/scikit-image/blob/6c421cd366ef53c5222b6e0542568e2127871740/doc%2Fexamples%2Fplot_adapt_rgb.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/6c421cd366ef53c5222b6e0542568e2127871740/doc%2Fexamples%2Fplot_adapt_rgb.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fexamples%2Fplot_adapt_rgb.py?ref=6c421cd366ef53c5222b6e0542568e2127871740", "patch": "@@ -47,7 +47,7 @@ def sobel_hsv(image):\n \n image = data.astronaut()\n \n-fig = plt.figure( figsize=(14,7) )\n+fig = plt.figure(figsize=(14, 7))\n ax_each = fig.add_subplot(121)\n ax_hsv = fig.add_subplot(122)\n \n@@ -57,7 +57,7 @@ def sobel_hsv(image):\n ax_each.set_title(\"Sobel filter computed\\n on individual RGB channels\")\n \n # We use 1 - sobel_hsv(image) but this will not work if image is not normalized\n-ax_hsv.imshow( rescale_intensity((1-sobel_hsv(image))))\n+ax_hsv.imshow(rescale_intensity(1 - sobel_hsv(image)))\n ax_hsv.set_xticks([]), ax_hsv.set_yticks([])\n ax_hsv.set_title(\"Sobel filter computed\\n on (V)alue converted image (HSV)\")\n \n@@ -105,11 +105,11 @@ def as_gray(image_filter, image, *args, **kwargs):\n def sobel_gray(image):\n return filters.sobel(image)\n \n-fig = plt.figure( figsize=(7,7) )\n+fig = plt.figure(figsize=(7, 7))\n ax = fig.add_subplot(111)\n \n # We use 1 - sobel_gray(image) but this will not work if image is not normalized \n-ax.imshow( rescale_intensity(1-sobel_gray(image)), cmap=plt.cm.gray)\n+ax.imshow( rescale_intensity(1 - sobel_gray(image)), cmap=plt.cm.gray)\n ax.set_xticks([]), ax.set_yticks([])\n ax.set_title(\"Sobel filter computed\\n on the converted grayscale image\")\n " } ]

[ { "sha": "d0a06bacbe99ddef206429d80e0b6e4189d0b50f", "filename": "skimage/measure/_regionprops.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/6638c92125080694eb751d7b7f4db5089b09b7f6/skimage%2Fmeasure%2F_regionprops.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/6638c92125080694eb751d7b7f4db5089b09b7f6/skimage%2Fmeasure%2F_regionprops.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2F_regionprops.py?ref=6638c92125080694eb751d7b7f4db5089b09b7f6", "patch": "@@ -111,7 +111,7 @@ def __init__(self, slice, label, label_image, intensity_image,\n \n if intensity_image is not None:\n if not intensity_image.shape == label_image.shape:\n- raise ValueError('Label and intensity image must be the same shape.')\n+ raise ValueError('Label and intensity image must have the same shape.')\n \n self.label = label\n self._slice = slice" } ]

[ { "sha": "9dd23aa0b6cd08aa566fc73508d5a80ba6b18ae6", "filename": "skimage/filters/rank/generic.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/3a2acb2adfebe2f94426f1e1b4cc83e0990cf33b/skimage%2Ffilters%2Frank%2Fgeneric.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/3a2acb2adfebe2f94426f1e1b4cc83e0990cf33b/skimage%2Ffilters%2Frank%2Fgeneric.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Frank%2Fgeneric.py?ref=3a2acb2adfebe2f94426f1e1b4cc83e0990cf33b", "patch": "@@ -373,7 +373,7 @@ def geometric_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=Fal\n >>> from skimage.morphology import disk\n >>> from skimage.filters.rank import mean\n >>> img = data.camera()\n- >>> avg = geomtric_mean(img, disk(5))\n+ >>> avg = geometric_mean(img, disk(5))\n \n \"\"\"\n " } ]

[ { "sha": "67c5a0a8e3b85ab2c47d1a3c4f6078b4dc057d93", "filename": "skimage/util/tests/test_dtype.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/be7161d3501a44b90eefe8ce974ff28278461f79/skimage%2Futil%2Ftests%2Ftest_dtype.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/be7161d3501a44b90eefe8ce974ff28278461f79/skimage%2Futil%2Ftests%2Ftest_dtype.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Futil%2Ftests%2Ftest_dtype.py?ref=be7161d3501a44b90eefe8ce974ff28278461f79", "patch": "@@ -77,7 +77,7 @@ def test_downcast():\n with expected_warnings('Downcasting'):\n y = img_as_int(x)\n assert np.allclose(y, x.astype(np.int16))\n- assert y.dtype == np.uint16\n+ assert y.dtype == np.uint16, y.dtype\n \n \n def test_float_out_of_range():" } ]

[ { "sha": "b8e775439eaf2707dd53f4bf843f9c33065538d5", "filename": "skimage/util/tests/test_dtype.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/f3965885e88e37ea95fcb61340ae5fc3542df1e8/skimage%2Futil%2Ftests%2Ftest_dtype.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/f3965885e88e37ea95fcb61340ae5fc3542df1e8/skimage%2Futil%2Ftests%2Ftest_dtype.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Futil%2Ftests%2Ftest_dtype.py?ref=f3965885e88e37ea95fcb61340ae5fc3542df1e8", "patch": "@@ -77,7 +77,7 @@ def test_downcast():\n with expected_warnings('Downcasting'):\n y = img_as_int(x)\n assert np.allclose(y, x.astype(np.int16))\n- assert y.dtype == np.uint16, y.dtype\n+ assert y.dtype == np.int16, y.dtype\n \n \n def test_float_out_of_range():" } ]

[ { "sha": "da5d860612da114f652274e0cfce1bc10a655ba5", "filename": "skimage/future/graph/rag.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/49aa7cf999093019493568815edd985ed1bc9714/skimage%2Ffuture%2Fgraph%2Frag.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/49aa7cf999093019493568815edd985ed1bc9714/skimage%2Ffuture%2Fgraph%2Frag.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffuture%2Fgraph%2Frag.py?ref=49aa7cf999093019493568815edd985ed1bc9714", "patch": "@@ -124,7 +124,7 @@ def __init__(self, label_image=None, connectivity=1, data=None, **attr):\n function=_add_edge_filter,\n footprint=fp,\n mode='nearest',\n- output=np.empty(labels_image.shape, dtype=np.uint8),\n+ output=np.empty(label_image.shape, dtype=np.uint8),\n extra_arguments=(self,))\n \n try:" } ]

[ { "sha": "739c3010d15478b188e8bed9a85d082f20154966", "filename": "skimage/future/graph/rag.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/753c8caf4ee0f6d18dfd6b6722568979f1550735/skimage%2Ffuture%2Fgraph%2Frag.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/753c8caf4ee0f6d18dfd6b6722568979f1550735/skimage%2Ffuture%2Fgraph%2Frag.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffuture%2Fgraph%2Frag.py?ref=753c8caf4ee0f6d18dfd6b6722568979f1550735", "patch": "@@ -48,7 +48,7 @@ def _edge_generator_from_csr(csr_matrix):\n col_indices = csr_matrix.indices\n for i in range(nrows):\n for j in range(indptr[i], indptr[i + 1]):\n- yield i, col_indices[j], data[j]\n+ yield i, col_indices[j], values[j]\n \n \n def min_weight(graph, src, dst, n):" } ]

[ { "sha": "de865f9ea5a43d24e2cbbbc423021b64872c7067", "filename": "skimage/measure/__init__.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/acef02667620bb4b1137132c55120c5a03b575c8/skimage%2Fmeasure%2F__init__.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/acef02667620bb4b1137132c55120c5a03b575c8/skimage%2Fmeasure%2F__init__.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fmeasure%2F__init__.py?ref=acef02667620bb4b1137132c55120c5a03b575c8", "patch": "@@ -2,7 +2,7 @@\n from ._marching_cubes import (marching_cubes, mesh_surface_area,\n correct_mesh_orientation)\n from ._regionprops import regionprops, perimeter\n-from ._simple_metrics import mse, nrmse, psnr\n+from .simple_metrics import mse, nrmse, psnr\n from ._structural_similarity import structural_similarity\n from ._polygon import approximate_polygon, subdivide_polygon\n from ._pnpoly import points_in_poly, grid_points_in_poly" } ]

[ { "sha": "fef9b046c9dbd03f4deeb0d9cc314513ab3ab5d3", "filename": "skimage/feature/corner.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/e74da89ede6f1e4d6100bc9885b312d00dd5ccad/skimage%2Ffeature%2Fcorner.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/e74da89ede6f1e4d6100bc9885b312d00dd5ccad/skimage%2Ffeature%2Fcorner.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffeature%2Fcorner.py?ref=e74da89ede6f1e4d6100bc9885b312d00dd5ccad", "patch": "@@ -610,7 +610,7 @@ def corner_fast(image, n=12, threshold=0.15):\n [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])\n- >>> corner_peaks(corner_fast(square, 9), min_distance=1)\n+ >>> corner_peaks(corner_fast(square, 9), min_distance=1, threshold_rel=0.1)\n array([[3, 3],\n [3, 8],\n [8, 3]," } ]

[ { "sha": "76f27a7632c17545e6a16c91565f942905c7485b", "filename": "skimage/feature/peak.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/bbb427b9eab3e966c70c7142c1048c9fa9df6eb6/skimage%2Ffeature%2Fpeak.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/bbb427b9eab3e966c70c7142c1048c9fa9df6eb6/skimage%2Ffeature%2Fpeak.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffeature%2Fpeak.py?ref=bbb427b9eab3e966c70c7142c1048c9fa9df6eb6", "patch": "@@ -3,7 +3,7 @@\n from ..filters import rank_order\n \n \n-def peak_local_max(image, min_distance=1, threshold_abs=None,\n+def peak_local_max(image, min_distance=1, threshold_abs=0,\n threshold_rel=None, exclude_border=True, indices=True,\n num_peaks=np.inf, footprint=None, labels=None):\n \"\"\"Find peaks in an image as coordinate list or boolean mask." } ]

[ { "sha": "28af65b7ca6037ba0cff0f909f433f2258e26d36", "filename": "visbrain/utils/sleep/detection.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/4fa582938b4faaf1fce1b42a6b497c3886205a85/visbrain%2Futils%2Fsleep%2Fdetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/4fa582938b4faaf1fce1b42a6b497c3886205a85/visbrain%2Futils%2Fsleep%2Fdetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fsleep%2Fdetection.py?ref=4fa582938b4faaf1fce1b42a6b497c3886205a85", "patch": "@@ -65,7 +65,7 @@ def spindlesdetect(data, sf, threshold, hypno, nrem_only, min_freq=12.,\n hypLoaded = True if np.unique(hypno).size > 1 and nrem_only else False\n \n if hypLoaded:\n- data[(np.where(np.logical_or(hypno < 1, hypno == 4)))] = 0\n+ data.copy()[(np.where(np.logical_or(hypno < 1, hypno == 4)))] = 0.\n length = np.count_nonzero(data)\n idx_zero = np.where(data == 0)[0]\n else:" } ]

[ { "sha": "2d37ec6b368f36cf050ab69f395b6402eeaa8e55", "filename": "visbrain/utils/sleep/detection.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/fc70ad5524678c587ef84c23abe7e21be02ecbbb/visbrain%2Futils%2Fsleep%2Fdetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/fc70ad5524678c587ef84c23abe7e21be02ecbbb/visbrain%2Futils%2Fsleep%2Fdetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fsleep%2Fdetection.py?ref=fc70ad5524678c587ef84c23abe7e21be02ecbbb", "patch": "@@ -18,7 +18,7 @@\n \n def spindlesdetect(elec, sf, threshold, hypno, nrem_only, min_freq=12.,\n max_freq=14., min_dur_ms=500, max_dur_ms=1500,\n- method='hilbert'):\n+ method='wavelet'):\n \"\"\"Perform a sleep spindles detection.\n \n Args:" } ]

[ { "sha": "0d85437939d5c143fc04845ca5f0211010bf8705", "filename": "examples/brain/5_DeepStructures.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/72fd8b0574d13ea969cb2fe0c79d03b462e6de89/examples%2Fbrain%2F5_DeepStructures.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/72fd8b0574d13ea969cb2fe0c79d03b462e6de89/examples%2Fbrain%2F5_DeepStructures.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/examples%2Fbrain%2F5_DeepStructures.py?ref=72fd8b0574d13ea969cb2fe0c79d03b462e6de89", "patch": "@@ -17,7 +17,7 @@\n # Define a Brain instance :\n vb = Brain(s_xyz=s_xyz, s_data=s_data, s_cmap='viridis')\n # Rotate the brain in axial view :\n-vb.rotate(fixed='axial')\n+vb.rotate(fixed='axial_0')\n # Select the thalamus index (77 for the left and 78 for the right). If you\n # don't know what is the index of your ROI, open the GUI and look at the\n # number in front of the name. Otherwise, use print(vb.get_ROI_list()) to print" } ]

[ { "sha": "8a28e10fa184c7cb9533ab23f006a11d796b3d99", "filename": "visbrain/brain/base/transformations/SourcesTransform.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/89ba080bd26ae0f96b4fffd8773f9fa83e200d47/visbrain%2Fbrain%2Fbase%2Ftransformations%2FSourcesTransform.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/89ba080bd26ae0f96b4fffd8773f9fa83e200d47/visbrain%2Fbrain%2Fbase%2Ftransformations%2FSourcesTransform.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Fbase%2Ftransformations%2FSourcesTransform.py?ref=89ba080bd26ae0f96b4fffd8773f9fa83e200d47", "patch": "@@ -456,7 +456,7 @@ def _array2cmap(self, x, non_zero=False, smask=None,\n self.atlas.mesh.set_color(data=cortmask)\n elif self._tprojecton == 'roi':\n # Apply general color to the brain :\n- cortmask[nnz, 0:3] = self.area.color\n+ cortmask[nnz, 0:3] = self.atlas.color\n # cortmask[nnz, 0:3] = self.area.mesh.get_color[nnz, 0:3]\n # Update mesh with cmap :\n self.area.mesh.set_color(data=cortmask)" } ]

[ { "sha": "25962983c897e3204ddc864aff09d7edc433afbb", "filename": "visbrain/sleep/interface/uiElements/uiDetection.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/63309491dd34ce198390d8d55c1f383cca7a633a/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/63309491dd34ce198390d8d55c1f383cca7a633a/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py?ref=63309491dd34ce198390d8d55c1f383cca7a633a", "patch": "@@ -235,7 +235,7 @@ def _fcn_fillLocations(self, channel, kind, index, duration):\n # Set header label :\n self._DetectLocHead.setText(kind + ' detection on channel ' + channel)\n # Clean table :\n- self._scoreTable.setRowCount(0)\n+ self._DetectLocations.setRowCount(0)\n if (kind in ['REM', 'Spindles']) and self._ToolRdSelected.isChecked():\n # Define the length of the table:\n self._DetectLocations.setRowCount(int(len(index) / 2))" } ]

[ { "sha": "7db9299f09288e9ec3cddf392ff8e2ccac062989", "filename": "visbrain/brain/base/ConnectBase.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/a3aa5cabe517c9aba7f1183137a9acbdf1fee9da/visbrain%2Fbrain%2Fbase%2FConnectBase.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/a3aa5cabe517c9aba7f1183137a9acbdf1fee9da/visbrain%2Fbrain%2Fbase%2FConnectBase.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fbrain%2Fbase%2FConnectBase.py?ref=a3aa5cabe517c9aba7f1183137a9acbdf1fee9da", "patch": "@@ -225,7 +225,7 @@ def bundling(self):\n color = np.array([])\n index = np.arange(self.blinterp)\n idx = np.c_[index[:-1], index[1:]].flatten()\n- for num, k in enumerate(cut[1:]):\n+ for num, k in enumerate(cut):\n tckp, u = splprep(np.ndarray.tolist(k.T), k=2, s=0.)\n y2 = np.array(splev(np.linspace(0, 1, self.blinterp), tckp)).T[idx]\n pos = np.vstack((pos, y2)) if pos.size else y2" } ]

[ { "sha": "f4f06ba97ee09425177b7ed402cb663c68b05856", "filename": "visbrain/sleep/sleep.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/1f8da08ff6a00c9dfe1c3fc6551ca03e44c67638/visbrain%2Fsleep%2Fsleep.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/1f8da08ff6a00c9dfe1c3fc6551ca03e44c67638/visbrain%2Fsleep%2Fsleep.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Fsleep.py?ref=1f8da08ff6a00c9dfe1c3fc6551ca03e44c67638", "patch": "@@ -61,7 +61,7 @@ class Sleep(uiInit, visuals, uiElements, Tools):\n \"\"\"\n \n def __init__(self, file=None, hypno_file=None, data=None, channels=None,\n- sf=None, hypno=None, downsample=1000., axis=False, line='gl'):\n+ sf=None, hypno=None, downsample=100., axis=False, line='gl'):\n \"\"\"Init.\"\"\"\n # ====================== APP CREATION ======================\n # Create the app and initialize all graphical elements :" } ]

[ { "sha": "50034388b06e8061b5433e0ed751cc32fbb007fc", "filename": "visbrain/sleep/interface/uiElements/uiScoring.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/3f7c338fc816a09930bd746b099c2cb34bcb9222/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiScoring.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/3f7c338fc816a09930bd746b099c2cb34bcb9222/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiScoring.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiScoring.py?ref=3f7c338fc816a09930bd746b099c2cb34bcb9222", "patch": "@@ -168,7 +168,7 @@ def _fcn_exportScore(self):\n path = QtGui.QFileDialog.getSaveFileName(\n self, \"Save File\", \"scoring_info\",\n filter=selected_ext)\n- if filename:\n+ if path:\n file = os.path.splitext(str(path))[0]\n if selected_ext.find('csv') + 1:\n listToCsv(file + '.csv', zip(staInd, endInd, stage))" } ]

[ { "sha": "09a6b63baf7c81ec667d7eaff7e48d509d034f80", "filename": "visbrain/sleep/interface/uiElements/uiSettings.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/785ce45f27fe24940ad1bb11a3d0bab83beff17b/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiSettings.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/785ce45f27fe24940ad1bb11a3d0bab83beff17b/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiSettings.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiSettings.py?ref=785ce45f27fe24940ad1bb11a3d0bab83beff17b", "patch": "@@ -228,7 +228,7 @@ def _fcn_sliderSettings(self):\n self._SlVal.setMinimum(self._time.min())\n # Set maximum :\n step = self._SigSlStep.value()\n- self._SlVal.setMaximum((self._time.max() - win)/step)\n+ self._SlVal.setMaximum(((self._time.max() - win)/step) + 1)\n self._SlVal.setTickInterval(step)\n self._SlVal.setSingleStep(step)\n self._SlGoto.setMaximum((self._time.max() - win))" } ]

[ { "sha": "8bc6757fa3d1ad78db200fb3be5a1ea6041e945b", "filename": "visbrain/sleep/interface/uiElements/uiDetection.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/4bc46aab35b0b94941ed3603e7105878da9ab8ea/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/4bc46aab35b0b94941ed3603e7105878da9ab8ea/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py?ref=4bc46aab35b0b94941ed3603e7105878da9ab8ea", "patch": "@@ -352,7 +352,7 @@ def _fcn_exportLocation(self):\n path = QtGui.QFileDialog.getSaveFileName(\n self, \"Save File\", method + \"_locinfo\",\n filter=selected_ext)\n- if filename:\n+ if path:\n file = os.path.splitext(str(path))[0]\n if selected_ext.find('csv') + 1:\n listToCsv(file + '.csv', zip(staInd, duration, stage))" } ]

[ { "sha": "e63c9cd75542f98df12588473c2bedf9852c8b11", "filename": "visbrain/utils/sleep/event.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/b78018c86a8143a38fa6533c92e8e1d9db64514c/visbrain%2Futils%2Fsleep%2Fevent.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/b78018c86a8143a38fa6533c92e8e1d9db64514c/visbrain%2Futils%2Fsleep%2Fevent.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Futils%2Fsleep%2Fevent.py?ref=b78018c86a8143a38fa6533c92e8e1d9db64514c", "patch": "@@ -38,7 +38,7 @@ def _events_duration(index, sf):\n idx_start = np.hstack([np.array([0]), np.where(bool_break)[0] + 1])\n idx_stop = np.hstack((idx_start[1::], len(index)-1))\n # Compute duration :\n- duration_ms = np.diff(idx_start) * (1000. / sf)\n+ duration_ms = np.diff(np.hstack((idx_start, idx_stop[-1]))) * (1000. / sf)\n \n return number, duration_ms, idx_start, idx_stop\n " } ]

[ { "sha": "f8600fb4f29c8ffede3d1a73410772364e04cb49", "filename": "visbrain/sleep/interface/uiElements/uiDetection.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kdeleeuw11/visbrain/blob/1fa9ca40eb63be059b7e0f0f04ce502d24fead01/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "raw_url": "https://github.com/kdeleeuw11/visbrain/raw/1fa9ca40eb63be059b7e0f0f04ce502d24fead01/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py", "contents_url": "https://api.github.com/repos/kdeleeuw11/visbrain/contents/visbrain%2Fsleep%2Finterface%2FuiElements%2FuiDetection.py?ref=1fa9ca40eb63be059b7e0f0f04ce502d24fead01", "patch": "@@ -352,7 +352,7 @@ def _fcn_exportLocation(self):\n path = QtGui.QFileDialog.getSaveFileName(\n self, \"Save File\", method + \"_locinfo\",\n filter=selected_ext)\n- if filename:\n+ if path:\n file = os.path.splitext(str(path))[0]\n if selected_ext.find('csv') + 1:\n listToCsv(file + '.csv', zip(staInd, duration, stage))" } ]

[ { "sha": "520c80422ab2031b046967110fea5f8e0ccf3a69", "filename": "app/travel/serializer/travel_serializer_detail_calender.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/kahee/MySmallTrip/blob/67a351c0836932060d2b20cc16bb94c403b8c98e/app%2Ftravel%2Fserializer%2Ftravel_serializer_detail_calender.py", "raw_url": "https://github.com/kahee/MySmallTrip/raw/67a351c0836932060d2b20cc16bb94c403b8c98e/app%2Ftravel%2Fserializer%2Ftravel_serializer_detail_calender.py", "contents_url": "https://api.github.com/repos/kahee/MySmallTrip/contents/app%2Ftravel%2Fserializer%2Ftravel_serializer_detail_calender.py?ref=67a351c0836932060d2b20cc16bb94c403b8c98e", "patch": "@@ -20,7 +20,7 @@ def get_is_possible(self, attrs):\n reserved_people = attrs.reserved_people\n reserve_people = self.context['people']\n \n- if maxPeople < reserve_people + reserved_people:\n+ if maxPeople <= reserve_people + reserved_people:\n return False\n else:\n return True" } ]

[ { "sha": "6686f15eb079a8f28a68f1c5380d7274b51efd38", "filename": "skimage/filters/rank/tests/test_rank.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/2608816885866a264d4b9c3e574a87a1deee54b2/skimage%2Ffilters%2Frank%2Ftests%2Ftest_rank.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/2608816885866a264d4b9c3e574a87a1deee54b2/skimage%2Ffilters%2Frank%2Ftests%2Ftest_rank.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Frank%2Ftests%2Ftest_rank.py?ref=2608816885866a264d4b9c3e574a87a1deee54b2", "patch": "@@ -98,7 +98,7 @@ def test_random_sizes(self):\n # make sure the size is not a problem\n \n elem = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]], dtype=np.uint8)\n- for m, n in np.random.random_integers(1, 100, size=(10, 2)):\n+ for m, n in np.random.randint(1, 101, size=(10, 2)):\n mask = np.ones((m, n), dtype=np.uint8)\n \n image8 = np.ones((m, n), dtype=np.uint8)" } ]

[ { "sha": "57f6bc8f54efc2e36f37b4b7f28e7a70b7dbe8d1", "filename": "skimage/feature/tests/test_corner.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/6d8c8544b5caacff6d14efa3c85250549b8d4c55/skimage%2Ffeature%2Ftests%2Ftest_corner.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/6d8c8544b5caacff6d14efa3c85250549b8d4c55/skimage%2Ffeature%2Ftests%2Ftest_corner.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffeature%2Ftests%2Ftest_corner.py?ref=6d8c8544b5caacff6d14efa3c85250549b8d4c55", "patch": "@@ -60,7 +60,7 @@ def test_hessian_matrix():\n [0, 0, 0, 0, 0],\n [0, 0, 2, 0, 0]]))\n \n- matrix2d = np.random.rand((3,3))\n+ matrix2d = np.random.rand(3,3)\n Arr, Arc, Acc = hessian_matrix(matrix2d, sigma=0.1)\n assert_warns(Warning, hessian_matrix, matrix2d, sigma=0.1)\n " } ]

[ { "sha": "ee0bb94ba7018b0642e2f6dd47456bce4b344dca", "filename": "skimage/io/_plugins/pil_plugin.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/38870086e46fef81d545e3b4151f18e406ad34a5/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/38870086e46fef81d545e3b4151f18e406ad34a5/skimage%2Fio%2F_plugins%2Fpil_plugin.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Fio%2F_plugins%2Fpil_plugin.py?ref=38870086e46fef81d545e3b4151f18e406ad34a5", "patch": "@@ -250,7 +250,7 @@ def imsave(fname, arr, format_str=None, **kwargs):\n arr = arr.astype(np.uint8)\n \n if arr.ndim not in (2, 3):\n- raise ValueError(\"Invalid shape for image array: %s\" % arr.shape)\n+ raise ValueError(\"Invalid shape for image array: %s\" % (arr.shape, ))\n \n if arr.ndim == 3:\n if arr.shape[2] not in (3, 4):" } ]

[ { "sha": "c90c6462810daac17e5ba03e49fdb4900d849af8", "filename": "doc/source/conf.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/2212522a7ca79a8a9dc089392e632195dec04b1f/doc%2Fsource%2Fconf.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/2212522a7ca79a8a9dc089392e632195dec04b1f/doc%2Fsource%2Fconf.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/doc%2Fsource%2Fconf.py?ref=2212522a7ca79a8a9dc089392e632195dec04b1f", "patch": "@@ -274,7 +274,7 @@\n #latex_appendices = []\n \n # If false, no module index is generated.\n-latex_use_modindex = False\n+latex_domain_indices = False\n \n # -----------------------------------------------------------------------------\n # Numpy extensions" } ]

[ { "sha": "cdba1cebfe529a2983d8ea745b6b930c91b49a3b", "filename": "skimage/filters/rank/generic.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/00d9947509f49678577e1cc0acf35458796cf935/skimage%2Ffilters%2Frank%2Fgeneric.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/00d9947509f49678577e1cc0acf35458796cf935/skimage%2Ffilters%2Frank%2Fgeneric.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Ffilters%2Frank%2Fgeneric.py?ref=00d9947509f49678577e1cc0acf35458796cf935", "patch": "@@ -1040,7 +1040,7 @@ def windowed_histogram(image, selem, out=None, mask=None,\n \"\"\"\n \n if n_bins is None:\n- n_bins = image.max() + 1\n+ n_bins = int(image.max()) + 1\n \n return _apply_vector_per_pixel(generic_cy._windowed_hist, image, selem,\n out=out, mask=mask," } ]

[ { "sha": "0859c7024f2a079019966408f565465d9600e806", "filename": "skimage/util/dtype.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/scikit-image/blob/86af2e6321aaa99830bc79b5c3372a62b271cbaa/skimage%2Futil%2Fdtype.py", "raw_url": "https://github.com/matsuken92/scikit-image/raw/86af2e6321aaa99830bc79b5c3372a62b271cbaa/skimage%2Futil%2Fdtype.py", "contents_url": "https://api.github.com/repos/matsuken92/scikit-image/contents/skimage%2Futil%2Fdtype.py?ref=86af2e6321aaa99830bc79b5c3372a62b271cbaa", "patch": "@@ -123,7 +123,7 @@ def prec_loss():\n \n def _dtype_itemsize(itemsize, *dtypes):\n # Return first of `dtypes` with itemsize greater than `itemsize`\n- return next(dt for dt in dtypes if itemsize < np.dtype(dt).itemsize)\n+ return next(dt for dt in dtypes if np.dtype(dt).itemsize >= itemsize)\n \n def _dtype_bits(kind, bits, itemsize=1):\n # Return dtype of `kind` that can store a `bits` wide unsigned int" } ]

[ { "sha": "ceabbc6366327f22c29decb06b8be9289b1bd438", "filename": "folium/folium.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/folium/blob/70d7f5c7a409a6081a35ed547e7b9a10c032ff5c/folium%2Ffolium.py", "raw_url": "https://github.com/matsuken92/folium/raw/70d7f5c7a409a6081a35ed547e7b9a10c032ff5c/folium%2Ffolium.py", "contents_url": "https://api.github.com/repos/matsuken92/folium/contents/folium%2Ffolium.py?ref=70d7f5c7a409a6081a35ed547e7b9a10c032ff5c", "patch": "@@ -570,7 +570,7 @@ def json_style(style_cnt, line_color, line_weight, line_opacity,\n self.template_vars.setdefault('map_legends', []).append(legend)\r\n \r\n #Style with color brewer colors\r\n- matchColor = 'matchKey({0}, {1})'.format(key_on, data_var)\r\n+ matchColor = 'color(matchKey({0}, {1}))'.format(key_on, data_var)\r\n style = json_style(style_count, line_color, line_weight,\r\n line_opacity, None, fill_opacity, matchColor)\r\n else:\r" } ]

[ { "sha": "53f3b7a8c1f8d59a35b1dc9ff30c2a8e2ab0d147", "filename": "folium/folium.py", "status": "modified", "additions": 1, "deletions": 1, "changes": 2, "blob_url": "https://github.com/matsuken92/folium/blob/154f0a52827223175295d77f7bdd94ca9df6f8e5/folium%2Ffolium.py", "raw_url": "https://github.com/matsuken92/folium/raw/154f0a52827223175295d77f7bdd94ca9df6f8e5/folium%2Ffolium.py", "contents_url": "https://api.github.com/repos/matsuken92/folium/contents/folium%2Ffolium.py?ref=154f0a52827223175295d77f7bdd94ca9df6f8e5", "patch": "@@ -243,7 +243,7 @@ def add_layers_to_map(self):\n \n data_string = ''\n for i, layer in enumerate(self.added_layers):\n- name = layer.keys()[0]\n+ name = list(layer.keys())[0]\n data_string+='\\\"'\n data_string+=name\n data_string+='\\\"'" } ]