xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

fff3557fd7e005babefb16e3b6b117ef8a3354ec

918

py

Python

file_automation.py

FlightDev/YSPA

5226712ebf305e7a3c686c43c996517a617f748b

[ "MIT" ]

null

file_automation.py

FlightDev/YSPA

5226712ebf305e7a3c686c43c996517a617f748b

[ "MIT" ]

null

file_automation.py

FlightDev/YSPA

5226712ebf305e7a3c686c43c996517a617f748b

[ "MIT" ]

null

import os import glob from astropy.io import fits #/home/student/Desktop/Images/iTelescope/20180716-California-T24-GOOD # Yo Neal. When you use this program, you have to change a few things between iTelescope and LFOP # FIRST, remember to change the file path or you'll be a dummy. Also for LFOP -13 and -12 while # for iTelescope it should be -9 and -8. Hopefully you know what to do with those numbers... #/home/student/Desktop/Images/LFOP dir = '20180726-LFOP-GOOD' path = '/home/student/Desktop/Images/LFOP/' + dir + '/' dict = {} date = "" for filename in os.listdir(path): if filename.endswith(".fit"): file = path + str(filename) image = fits.open(file) s = image[0].header.get("DATE-OBS") date = s[:len(s) - 13] dict.update({s[len(s) - 12:]: filename}) for key, value in sorted(dict.items()): print value + "\t\t" + str(key) print date print len(dict)

32.785714

99

0.667756

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918

4.19863

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0.088091

0.117455

0.101142

0

0.039402

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918

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0.064762

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null

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0.166667

null

0.166667

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null

0

null

0

1

0

1

fff46233cd9fc6a4821a3755e7bb2b8fd09e058e

1,030

py

Python

read_trials.py

Volkarl/P10-ExoskeletonTransferLearning

311daf3791c65838ff9c496eeb6526b096b41d4c

[ "MIT" ]

null

read_trials.py

Volkarl/P10-ExoskeletonTransferLearning

311daf3791c65838ff9c496eeb6526b096b41d4c

[ "MIT" ]

2

2020-11-13T18:39:27.000Z

2021-08-25T15:59:36.000Z

read_trials.py

Volkarl/P10-ExoskeletonTransferLearning

311daf3791c65838ff9c496eeb6526b096b41d4c

[ "MIT" ]

null

import pickle import matplotlib.pyplot as plt import pandas as pd trials = pickle.load(open("trials.p", "rb")) print("Set breakpoint here") #for item in trials.trials: # args = item["vals"] # res = item["result"]["loss"] #itemtuples = [(item["misc"]["vals"]["dilation_group"], item["misc"]["vals"]["use_ref_points"], item["result"]["loss"]) for item in trials.trials] #(dil, ref, loss) = zip(*itemtuples) #plt.figure() #plt.plot(dil, 'ro') #plt.title('Use_dilation (1 is true, 0 is false)') #plt.plot(loss) #plt.plot(pd.DataFrame(loss).ewm(span=1).mean()) #plt.title('MAE') #plt.plot(ref, 'g^') #plt.legend() #plt.show() print("Set breakpoint here") print("PRINT BEST TRIALS") myitems = [(trial["result"]["loss"], str(trial["misc"]["vals"])) for trial in trials.trials if trial["result"]["status"] == "ok"] myitems.sort(key=lambda tup: tup[0]) for item in myitems[:10]: print("--------------------------\n") print(item) print("\n\n") # If you want to print training times use attemptid["book_time"]

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0.125243

1,030

41

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25.121951

0.714761

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false

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0.230769

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0.230769

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null

0

null

0

1

0

1

fff5fae09ca4ba6758cfde4e7471355a0e7af098

3,506

py

Python

RecRoomAnimatedProfilePicture.py

zigzatuzoo/Rec-Room-Animated-Profile-Picture

b8eeabf478613f47d3bdb9195ad2f5051e7aaaad

[ "Apache-2.0" ]

4

2021-08-17T01:13:03.000Z

2022-03-19T04:03:01.000Z

RecRoomAnimatedProfilePicture.py

zigzatuzoo/Rec-Room-Animated-Profile-Picture

b8eeabf478613f47d3bdb9195ad2f5051e7aaaad

[ "Apache-2.0" ]

null

RecRoomAnimatedProfilePicture.py

zigzatuzoo/Rec-Room-Animated-Profile-Picture

b8eeabf478613f47d3bdb9195ad2f5051e7aaaad

[ "Apache-2.0" ]

null

''' Stuff you need to update for this to work ''' 'Enter your username here' user = '' 'Enter your password here' passwd = '' image1 = '2d83af05944d49c69fa9565fb238a91b.jpg' image2 = '49b2788b672e4088a25eb0a9eff35c17.jpg' image3 = '355c2c7e87f0489bb5f0308cdec108f6.jpg' " ^ You need to change EACH of these to whatever you want the 3 pics to be (Currently set to a waving red zigzag)" ''' Stuff that will change how the program works ''' speed = 0.2 "^ As you can probably guess, this changes how long the PFP stays on each image" import time try: import requests except: print('''You do not have the requests library installed, you need to install it via the following command: pip install requests Thank you!''') try: import recnetlogin as rnl except: print('''You do not have the RecNetLogin package installed, you need to install it via the following command: python -m pip install git+https://github.com/Jegarde/RecNet-Login.git#egg=recnetlogin Thank you!''') ''' Just Initializing some values ''' login = rnl.login_to_recnet(username=user,password=passwd) x = 0 BToken = '' ''' Making the strings into the format read by the rec.net image api ''' imageName1 = 'imageName=' + image1 imageName2 = 'imageName=' + image2 imageName3 = 'imageName=' + image3 ''' Initial token request ''' BToken = login.access_token print(BToken) ''' The loop program that actually makes the picure move ''' while 1 == 1: ''' The HTTP header for changing your In-Game pfp ''' Headers = {'sec-ch-ua':'";Not A Brand";v="99", "Chromium";v="88"', 'Accept' : '*/*', 'sec-ch-ua-mobile' : '?0', 'Authorization' : BToken, 'Content-Type' : 'application/x-www-form-urlencoded; charset=UTF-8', 'Origin' : 'https://rec.net', 'Sec-Fetch-Site' : 'same-site', 'Sec-Fetch-Mode' : 'cors', 'Sec-Fetch-Dest' : 'empty', 'Referer' : 'https://rec.net/', 'Accept-Encoding' : 'gzip, deflate', 'Accept-Language' : 'en-US,en;q=0.9', } ''' The easy way to edit what pfp plays after what ''' def i1(): r = requests.put('https://accounts.rec.net/account/me/profileImage', headers = Headers, data = imageName1) print(str(r) + " num of requests: " + str(x)) time.sleep(speed) def i2(): r = requests.put('https://accounts.rec.net/account/me/profileImage', headers = Headers, data = imageName2) print(str(r) + " num of requests: " + str(x)) time.sleep(speed) def i3(): r = requests.put('https://accounts.rec.net/account/me/profileImage', headers = Headers, data = imageName3) print(str(r) + " num of requests: " + str(x)) time.sleep(speed) ''' In this default format, it will show image 1 first, then image 2, then image 3, then image 2 again and will LOOP this. The x value in the function calls is to make the counter function, if you don't add it to your function calls or you delete them, THE COUNTER WILL NOT WORK. ''' x = x + 1 i1() x = x + 1 i2() x = x + 1 i3() x = x + 1 i2() ''' Requests a new auth token when that one is no longer valid ''' r = requests.put('https://accounts.rec.net/account/me/profileImage', headers = Headers) if r.status_code == 401: print('Invalid Token') login = rnl.login_to_recnet(username=user,password=passwd) BToken = login.access_token print(BToken)

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0.030672

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3,506

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false

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0

null

0

null

0

1

0

1

fff7d77cd5951c966e8c3d645997399fd6e953c2

14,121

py

Python

rcommander/src/rcommander/graph_view.py

rummanwaqar/rcommander-core

7106d5868db76c47dea6ad11118a54351a8bd390

[ "BSD-3-Clause" ]

4

2015-04-08T09:57:43.000Z

2021-08-12T01:44:37.000Z

rcommander/src/rcommander/graph_view.py

jhu-lcsr-forks/rcommander-core

1a0350e9b93687eff6a4407f72b5250be5f56919

[ "BSD-3-Clause" ]

1

2015-03-12T09:10:27.000Z

rcommander/src/rcommander/graph_view.py

jhu-lcsr-forks/rcommander-core

1a0350e9b93687eff6a4407f72b5250be5f56919

[ "BSD-3-Clause" ]

3

2015-03-12T10:59:17.000Z

2021-06-21T02:13:57.000Z

#import roslib; roslib.load_manifest('rcommander_core') import graph.style as gs import graph import graph.layout as gl import tool_utils as tu import graph_model as gm import numpy as np import time import copy def copy_style(astyle, bstyle): bstyle.background = astyle.background bstyle.fill = astyle.fill bstyle.stroke = astyle.stroke bstyle.strokewidth = astyle.strokewidth bstyle.text = astyle.text bstyle.font = astyle.font bstyle.fontsize = astyle.fontsize bstyle.textwidth = astyle.textwidth bstyle.align = astyle.align bstyle.depth = astyle.depth class GraphView: def __init__(self, context, graph_model): self.graph_model = graph_model g = self.graph_model.gve self.gve = g self.context = context node_outlines = self.context.color(0.4, 0.4, 0.4, 1.) text_color = self.context.color(0.3, 0.3, 0.3, 1.) node_font_size = 14 #Customizations g.styles.default.depth = True g.styles.default.background = self.context.color(1., 1., 1., 1.) g.styles.default.stroke = node_outlines g.styles.default.text = text_color g.styles.default.fontsize = node_font_size g.styles.root.text = self.context.color(255/255., 153/255., 51/255., 1.) g.styles.important.fontsize = node_font_size g.styles.important.text = text_color g.styles.important.stroke = node_outlines g.styles.marked.fontsize = node_font_size g.styles.marked.text = text_color g.styles.marked.stroke = node_outlines #g.styles.default.fontsize = 12 #g.styles.light.fontsize = 12 #g.styles.back.fontsize = 12 #g.styles.marked.fontsize = 12 #g.styles.dark.fontsize = 12 #g.styles.highlight.fontsize = 12 #g.styles.root.fontsize = 12 self.refresh = self.gve.layout.refresh old_outcome_style = g.styles.create('old_outcome') active_node_style = g.styles.create('active_node') selected_style = g.styles.create('selected') normal_style = g.styles.create('normal') normal_edge_style = g.styles.create('normal_edge') selected_edge_style = g.styles.create('selected_edge') graph_circle = g.styles.create('graph_circle') container = g.styles.create('container') container_selected = g.styles.create('container_selected') copy_style(g.styles.important, old_outcome_style) copy_style(g.styles.important, active_node_style) copy_style(g.styles.important, selected_style) copy_style(g.styles.default, normal_style) copy_style(g.styles.default, normal_edge_style) copy_style(g.styles.default, selected_edge_style) copy_style(g.styles.default, graph_circle) copy_style(g.styles.default, container) copy_style(g.styles.default, container_selected) graph_circle.fill = self.context.color(.96, .96, .96, .96) graph_circle.stroke = self.context.color(.8, .8, .8, 1.) graph_circle.strokewidth = 3 graph_circle.fontsize = 24 graph_circle.textwidth = 800 graph_circle.text = self.context.color(.5, .5, .5, 1.) container.fill = self.context.color(255./255, 204./255, 102./255., .4) container.node = g.styles.important.node container_selected.fill = self.context.color(255./255, 204./255, 102./255., 1.) container_selected.node = g.styles.important.node selected_style.text = text_color selected_edge_style.stroke = self.context.color(0.80, 0.00, 0.00, 0.75) selected_edge_style.strokewidth = 1.0 active_node_style.text = text_color active_node_style.fill = self.context.color(153./255, 255./255, 51/255, .75) active_node_style.strokewidth = 3 old_outcome_style.text = text_color old_outcome_style.fill = self.context.color(153./255, 255./255, 51/255, .4) self.radii_increment = 150 self.fsm_start_color = 1. self.fsm_end_color = .96 self.fsm_stroke_color = .85 self.fsm_current_context_node = None self.fsm_dclick_cb = None self.right_clicked = None self.dx = 0. self.dy = 0. self.tx = 0. self.ty = 0. #g.node('start').style = 'marked' def set_node_style(self, node_name, style): self.gve.node(node_name).style = style self.gve.layout.refresh() def get_node_style(self, node_name): return self.gve.node(node_name).style #def drag_background_cb(self, s, e): # #print start_click.x, start_click.y # #print curr_pos.x, curr_pos.y # #transform.scale(self.zoom, self.zoom) # self.dx = e.x - s.x # self.dy = e.y - s.y # #print dx, dy # #transform = QTransform() # ##transform.scale(abs(dx), abs(dy)) # #transform.translate(dx, dy) # #self.graphicsView.superView.setTransform(transform) def _background_drag(self, properties_dict): mouse_pose = properties_dict['MOUSEX'], properties_dict['MOUSEY'] if properties_dict['rightdown']: if not self.right_clicked: self.right_clicked = mouse_pose else: self.tx = mouse_pose[0] - self.right_clicked[0] self.ty = mouse_pose[1] - self.right_clicked[1] else: #Commit transform self.right_clicked = None self.dx += self.tx self.dy += self.ty self.ty = 0. self.tx = 0. #if self._ctx._ns["rightdown"]: # #Make sure we're not in any nodes # in_nodes = False # for n in self.graph.nodes: # if self.mouse in n: # in_nodes = True # break # #Set pose first time # if not in_nodes and not self.right_clicked: # self.right_clicked = self.mouse # else: # self.right_drag(self.right_clicked, self.mouse) #else: # self.right_clicked = None def setup(self): self.times = {} self.times['draw'] = 0. self.times['check'] = 0. self.times['iter'] = 0 def draw(self, properties_dict): START_TIME = time.time() self.context.size(properties_dict['width'], properties_dict['height']) cx = self.context g = self.gve for n in g.nodes: if properties_dict['selected_node'] == n.id: self.set_node_style(n.id, 'selected') else: self.set_node_style(n.id, 'normal') if self.graph_model.get_start_state() == n.id: if self.get_node_style(n.id) == 'selected': self.set_node_style(n.id, 'important') else: self.set_node_style(n.id, 'marked') if hasattr(self.graph_model.get_state(n.id), 'get_child'): if self.get_node_style(n.id) == 'selected': self.set_node_style(n.id, 'container_selected') else: self.set_node_style(n.id, 'container') if self.graph_model.is_running(): if not self.graph_model.sm_thread.has_key('current_states'): print 'KEYS!', self.graph_model.sm_thread.keys() if self.graph_model.sm_thread['current_states'] != None and \ (len(set(self.graph_model.sm_thread['current_states']).intersection(set([n.id]))) > 0): self.set_node_style(n.id, 'active_node') if self.graph_model.get_last_outcome() != None: outcome, t = self.graph_model.get_last_outcome() if outcome == n.id: if time.time() - t < 10.: self.set_node_style(n.id, 'old_outcome') #self.set_node_style(tu.InfoStateBase.GLOBAL_NAME, 'root') draw_func = None #if properties_dict['selected_edge'] != None: def draw_selected(): if properties_dict['selected_edge'] == None: return cx = self.context g = self.gve #edge = self.selected_edge edge = properties_dict['selected_edge'] x0, y0 = edge.node1.x, edge.node1.y x1, y1 = edge.node2.x, edge.node2.y coordinates = lambda x, y, d, a: (x+math.cos(math.radians(a))*d, y+math.sin(math.radians(a))*d) # Find the edge's angle based on node1 and node2 position. a = math.degrees(math.atan2(y1-y0, x1-x0)) # draw line from node's edge instead of it's center. r = edge.node2.r d = math.sqrt(pow(x1-x0, 2) + pow(y1-y0, 2)) x00, y00 = coordinates(x0, y0, r+1, a) x01, y01 = coordinates(x0, y0, d-r-1, a) # draw p1 = [x00, y00] p2 = [x01, y01] cx.fill() cx.strokewidth(1.0) cx.stroke(1., 153./255., 0, .75) cx.beginpath(p1[0], p1[1]) cx.lineto(p2[0], p2[1]) path = cx.endpath(False) gs.edge_arrow(g.styles[edge.node1.style], path, edge, radius=10) cx.drawpath(path) def draw_fsm_circles(): g = self.gve #figure out where centroids should be coords = [] [coords.append([n.x, n.y]) for n in g.nodes] coords = np.matrix(coords).T centroid = np.median(coords, 1) if len(coords) == 0: return #calculate where radii should be radius = np.max(np.power(np.sum(np.power((coords - centroid), 2), 0), .5)) + gm.GraphModel.NODE_RADIUS*2 radius = max(radius, 200.) container_style = g.styles.graph_circle container_stroke = container_style.stroke ## #Draw fsm_stack stack = copy.copy(properties_dict['fsm_stack']) #stack.reverse() #smallest_radii = radius largest_radii = radius + len(stack) * self.radii_increment color = self.fsm_start_color if len(stack) > 0: color_incre = (self.fsm_start_color - self.fsm_end_color) / len(stack) #draw stack for el in stack: #smallest_radii = smallest_radii + self.radii_increment name = el.model.document.get_name()#el.document.get_name() #Draw node stack_node = graph.node(g, radius = largest_radii, id = name) stack_node.x, stack_node.y = centroid[0,0], centroid[1,0] el.graph_node = stack_node container_style.fill = self.context.color(color, color, color, 1.) container_style.stroke = self.context.color(self.fsm_stroke_color, self.fsm_stroke_color, 1.) gs.node(container_style, stack_node, g.alpha) #Draw label node_label_node_ = graph.node(g, radius = largest_radii, id = name) node_label_node_.x, node_label_node_.y = centroid[0,0], centroid[1,0] - largest_radii gs.node_label(container_style, node_label_node_, g.alpha) color -= color_incre largest_radii -= self.radii_increment ## #Draw node #Draw node circle graph_name_node = graph.node(g, radius=radius, id = properties_dict['name']) graph_name_node.x, graph_name_node.y = centroid[0,0], centroid[1,0] self.fsm_current_context_node = graph_name_node container_style.fill = self.context.color(self.fsm_end_color, self.fsm_end_color, self.fsm_end_color, 1.) container_style.stroke = container_stroke gs.node(container_style, graph_name_node, g.alpha) #draw node label node_label_node = graph.node(g, radius=radius, id = properties_dict['name']) node_label_node.x, node_label_node.y = centroid[0,0], centroid[1,0] - radius gs.node_label(container_style, node_label_node, g.alpha) def detect_fsm_click(): def in_node(x, y, n): return (abs(x - n.x) < n.r) and (abs(y - n.y) < n.r) mousex_g = self.context._ns['MOUSEX'] - self.gve.x mousey_g = self.context._ns['MOUSEY'] - self.gve.y if self.context._ns['mousedoubleclick'] and len(properties_dict['fsm_stack']) > 0: if not in_node(mousex_g, mousey_g, self.fsm_current_context_node): stack = copy.copy(properties_dict['fsm_stack']) stack.reverse() selected_el = None for el in stack: if in_node(mousex_g, mousey_g, el.graph_node): #if p in el.graph_node: selected_el = el break #selected something so load it if selected_el != None and self.fsm_dclick_cb != None: self.fsm_dclick_cb(selected_el) def final_func(): draw_selected() detect_fsm_click() CHECK_TIME = time.time() self._background_drag(properties_dict) properties_dict['MOUSEX'] -= self.dx+self.tx properties_dict['MOUSEY'] -= self.dy+self.ty g.draw(dx=self.dx+self.tx, dy=self.dy+self.ty, directed=True, traffic=False, user_draw_start=draw_fsm_circles, user_draw_final=final_func) DRAW_TIME = time.time() total_draw = DRAW_TIME - CHECK_TIME total_check = CHECK_TIME - START_TIME self.times['draw'] += total_draw self.times['check'] +- total_check self.times['iter'] += 1 #print 'draw', (1000.* self.times['draw'] / self.times['iter']), 'check', (1000.* self.times['check'] / self.times['iter'])

39.116343

146

0.578217

1,831

14,121

4.260513

0.142545

0.03679

0.024612

0.015383

0.34111

0.257147

0.17126

0.124087

0.096398

0.068709

0

0.030275

0.307627

14,121

360

147

39.225

0.767618

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0

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0.034222

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null

0

0.07173

null

0.004219

0

null

0

null

0

1

0

1

ffff1e4cd8bc9bad42ca402b2c639f4b45a16abe

791

py

Python

pirates/quest/QuestHolderBase.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

3

2021-02-25T06:38:13.000Z

2022-03-22T07:00:15.000Z

pirates/quest/QuestHolderBase.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

null

pirates/quest/QuestHolderBase.py

itsyaboyrocket/pirates

6ca1e7d571c670b0d976f65e608235707b5737e3

[ "BSD-3-Clause" ]

1

2021-02-25T06:38:17.000Z

# uncompyle6 version 3.2.0 # Python bytecode 2.4 (62061) # Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)] # Embedded file name: pirates.quest.QuestHolderBase class QuestHolderBase: __module__ = __name__ def __init__(self): self._rewardCollectors = {} def getQuests(self): raise 'derived must implement' def _addQuestRewardCollector(self, collector): cId = collector._serialNum self._rewardCollectors[cId] = collector def _removeQuestRewardCollector(self, collector): cId = collector._serialNum del self._rewardCollectors[cId] def _trackRewards(self, trade): for collector in self._rewardCollectors.itervalues(): collector.collect(trade)

30.423077

104

0.694058

89

791

5.932584

0.629213

0.151515

0.060606

0.094697

0.128788

0

0.072231

0.212389

791

26

105

30.423077

0.775281

0.259166

0

0.133333

0

0.037801

0

1

0.333333

false

0

0.466667

0

null

0

null

0

1

0

1

08058658e2bf102d2ac28a2a02f1701e1eb02d65

937

py

Python

container/base/src/cache.py

hmrc/devops-tooling-build

03d62df3a45d5dcce306cd6cad6c95a24a4b34ab

[ "Apache-2.0" ]

1

2021-11-10T16:09:43.000Z

container/base/src/cache.py

hmrc/devops-tooling-build

03d62df3a45d5dcce306cd6cad6c95a24a4b34ab

[ "Apache-2.0" ]

6

2021-07-02T14:15:25.000Z

2022-02-03T12:57:36.000Z

container/base/src/cache.py

hmrc/devops-tooling-build

03d62df3a45d5dcce306cd6cad6c95a24a4b34ab

[ "Apache-2.0" ]

null

import datetime import hashlib import os import pathlib from typing import Optional import yaml def key(name): return hashlib.sha1(name.encode()).hexdigest() def path(name): return pathlib.Path(os.environ['CACHE_AWS_MNT']) / key(name) def aws_get(name) -> Optional[dict]: try: with path(name).open('r') as fp: response = yaml.safe_load(fp.read()) now = datetime.datetime.now(tz=datetime.timezone.utc) min_session_time = datetime.timedelta(hours=1) if now + min_session_time < response['Credentials']['Expiration']: return response except FileNotFoundError: pass except (yaml.scanner.ScannerError, TypeError, KeyError): # we somehow ended up with bad yaml, ≈ no cache; invalidate path(name).unlink() def aws_set(name, response) -> None: with path(name).open('w') as fp: fp.write(yaml.dump(response))

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0

null

0

null

0

1

0

1

080b1f9b578c418d65d4a8c4119d27d86ab70fa5

2,451

py

Python

aldryn_redirects/migrations/0003_auto_20171206_1150.py

compoundpartners/aldryn-redirects

ed1b1e90a7774a4bead771e158e30d5846e64e60

[ "BSD-3-Clause" ]

1

2020-05-14T06:41:50.000Z

aldryn_redirects/migrations/0003_auto_20171206_1150.py

compoundpartners/aldryn-redirects

ed1b1e90a7774a4bead771e158e30d5846e64e60

[ "BSD-3-Clause" ]

11

2016-01-11T11:42:58.000Z

2018-11-05T16:13:27.000Z

aldryn_redirects/migrations/0003_auto_20171206_1150.py

compoundpartners/aldryn-redirects

ed1b1e90a7774a4bead771e158e30d5846e64e60

[ "BSD-3-Clause" ]

6

2016-11-22T04:53:37.000Z

2018-11-15T13:56:39.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.8 on 2017-12-06 13:50 from __future__ import unicode_literals import aldryn_redirects.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('sites', '0001_initial'), ('aldryn_redirects', '0002_on_delete_and_verbose_names'), ] operations = [ migrations.CreateModel( name='StaticRedirect', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('inbound_route', models.CharField(db_index=True, help_text='Redirect origin. Do not provide the domain. Always add a leading slash here.', max_length=255, validators=[aldryn_redirects.validators.validate_inbound_route], verbose_name='Redirect from')), ('outbound_route', models.CharField(help_text='Redirect destination. Domain is not required (defaults to inbound route domain).', max_length=255, validators=[aldryn_redirects.validators.validate_outbound_route], verbose_name='Redirect to')), ('sites', models.ManyToManyField(related_name='_staticredirect_sites_+', to='sites.Site')), ], options={ 'verbose_name_plural': 'Static Redirects', 'verbose_name': 'Static Redirect', }, ), migrations.CreateModel( name='StaticRedirectInboundRouteQueryParam', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('key', models.CharField(max_length=255, verbose_name='Key')), ('value', models.CharField(blank=True, max_length=255, verbose_name='Value')), ('static_redirect', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='query_params', to='aldryn_redirects.StaticRedirect')), ], ), migrations.AlterModelOptions( name='redirect', options={'ordering': ('old_path',), 'verbose_name': 'Multilanguage Redirect', 'verbose_name_plural': 'Multilanguage Redirects'}, ), migrations.AlterModelOptions( name='redirecttranslation', options={'default_permissions': (), 'managed': True, 'verbose_name': 'Multilanguage Redirect Translation'}, ), ]

50.020408

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0.651571

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0.170732

0

null

0

1

0

null

0

1

0811b7481588bc53cfde102ac50bffe1f9e0e41c

161

py

Python

velocity/constants.py

aisthesis/mfstockmkt

d442ec4cb3b379f6984397926b4466420236c032

[ "MIT" ]

null

velocity/constants.py

aisthesis/mfstockmkt

d442ec4cb3b379f6984397926b4466420236c032

[ "MIT" ]

1

2015-12-27T17:37:54.000Z

2015-12-31T05:06:06.000Z

velocity/constants.py

aisthesis/mfstockmkt

d442ec4cb3b379f6984397926b4466420236c032

[ "MIT" ]

1

2020-05-02T08:25:35.000Z

14.636364

45

0.652174

20

161

5.15

0.9

0

0.029412

0.15528

161

10

46

16.1

0.727941

0.652174

0

0.291667

0

1

0

false

0

1

0

null

0

null

0

1

081745d5d369bb388f32e0870139795f7243852c

213

py

Python

tuples-and-sets/3_unique_names.py

Minkov/python-advanced-2020-01

f2ee26f1325d943529673457a1cbba5657ae5905

[ "MIT" ]

5

2020-01-16T18:17:08.000Z

2020-04-12T06:42:47.000Z

tuples-and-sets/3_unique_names.py

Minkov/python-advanced-2020-01

f2ee26f1325d943529673457a1cbba5657ae5905

[ "MIT" ]

null

tuples-and-sets/3_unique_names.py

Minkov/python-advanced-2020-01

f2ee26f1325d943529673457a1cbba5657ae5905

[ "MIT" ]

null

n = int(input()) # names = {input() for _ in range(n)} names = [] for _ in range(n): names.append(input()) unique_names = list(set(names)) [print(name) for name in sorted(unique_names, key=names.index)]

15.214286

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0.643192

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213

4.030303

0.484848

0.075188

0.150376

0.165414

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213

13

43

16.384615

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false

0

0.125

0

null

0

1

0

null

0

1

081da69448bb7e8d65c5e3d690d670101f274a22

587

py

Python

posts/migrations/0003_auto_20200522_0446.py

NotBlizzard/lark

b348f8d2b532ce20581030397cbba7f6565d1c56

[ "MIT" ]

2

2020-12-10T06:13:36.000Z

2021-01-15T09:32:41.000Z

posts/migrations/0003_auto_20200522_0446.py

NotBlizzard/lark

b348f8d2b532ce20581030397cbba7f6565d1c56

[ "MIT" ]

7

2021-03-10T21:21:55.000Z

2021-09-22T19:20:03.000Z

posts/migrations/0003_auto_20200522_0446.py

NotBlizzard/lark

b348f8d2b532ce20581030397cbba7f6565d1c56

[ "MIT" ]

null

# Generated by Django 3.0.6 on 2020-05-22 04:46 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('posts', '0002_auto_20200520_0536'), ] operations = [ migrations.AddField( model_name='post', name='subtitle', field=models.CharField(default='', max_length=200), preserve_default=False, ), migrations.AlterField( model_name='post', name='title_slug', field=models.SlugField(max_length=200), ), ]

23.48

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0.055556

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0.222222

0

null

0

1

0

null

0

1

08217e660e94837e28763173bb72fbc25fe9ee5e

216

py

Python

locale/pot/api/plotting/_autosummary/pyvista-Plotter-enable_lightkit-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/plotting/_autosummary/pyvista-Plotter-enable_lightkit-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/plotting/_autosummary/pyvista-Plotter-enable_lightkit-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

# Create a plotter without any lights and then enable the # default light kit. # import pyvista pl = pyvista.Plotter(lighting=None) pl.enable_lightkit() actor = pl.add_mesh(pyvista.Cube(), show_edges=True) pl.show()

24

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0.763889

34

216

4.764706

0.764706

0

0.125

216

8

58

27

0.857143

0.342593

0

1

0

false

0

0.2

0

0.2

0

null

0

1

0

null

0

1

0822f1091f07394bee07ab3fa63b7142aa217e7c

1,353

py

Python

sphinx/environment/managers/__init__.py

rweickelt/sphinx

1a4c41a7691e8f78d42e2db221192962c53b27df

[ "BSD-2-Clause" ]

null

sphinx/environment/managers/__init__.py

rweickelt/sphinx

1a4c41a7691e8f78d42e2db221192962c53b27df

[ "BSD-2-Clause" ]

null

sphinx/environment/managers/__init__.py

rweickelt/sphinx

1a4c41a7691e8f78d42e2db221192962c53b27df

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ sphinx.environment.managers ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Manager components for sphinx.environment. :copyright: Copyright 2007-2016 by the Sphinx team, see AUTHORS. :license: BSD, see LICENSE for details. """ if False: # For type annotation from typing import Any # NOQA from docutils import nodes # NOQA from sphinx.environment import BuildEnvironment # NOQA class EnvironmentManager(object): """Base class for sphinx.environment managers.""" name = None # type: unicode env = None # type: BuildEnvironment def __init__(self, env): # type: (BuildEnvironment) -> None self.env = env def attach(self, env): # type: (BuildEnvironment) -> None self.env = env if self.name: setattr(env, self.name, self) def detach(self, env): # type: (BuildEnvironment) -> None self.env = None if self.name: delattr(env, self.name) def clear_doc(self, docname): # type: (unicode) -> None raise NotImplementedError def merge_other(self, docnames, other): # type: (List[unicode], Any) -> None raise NotImplementedError def process_doc(self, docname, doctree): # type: (unicode, nodes.Node) -> None raise NotImplementedError

26.529412

68

0.604582

146

1,353

5.554795

0.40411

0.051788

0.040691

0.099877

0.147965

0.10111

0

0.009165

0.274205

1,353

50

69

27.06

0.816701

0.397635

0

0.304348

0

1

0.26087

false

0

0.130435

0

0.521739

0

null

0

null

0

1

0

1

08235f7faf3865296eebd91470431d320d7b228e

370

py

Python

createGlobalMap.py

abhi20sc/autoClim

b131a19e935e8ba7778a2c73107a183df37e92da

[ "MIT" ]

2

2021-07-28T05:58:20.000Z

2021-08-16T18:27:27.000Z

createGlobalMap.py

abhi20sc/autoClim

b131a19e935e8ba7778a2c73107a183df37e92da

[ "MIT" ]

null

createGlobalMap.py

abhi20sc/autoClim

b131a19e935e8ba7778a2c73107a183df37e92da

[ "MIT" ]

3

2021-08-05T15:21:05.000Z

2021-10-04T03:42:16.000Z

import cartopy.crs as ccrs import cartopy.feature as cf from matplotlib import pyplot as plt from matplotlib import image as img def createMap(): fig = plt.figure() ax = plt.axes(projection=ccrs.PlateCarree()) ax.coastlines(linewidth=1) ax.add_feature(cf.BORDERS,linestyle='-',linewidth=1) fig.savefig('globalMap.png', bbox_inches='tight', pad_inches=0) return 0.

30.833333

64

0.767568

57

370

4.929825

0.631579

0.092527

0.142349

0

0.012158

0.110811

370

12

65

30.833333

0.841945

0

0.051213

0

1

0.090909

false

0

0.363636

0

0.545455

0

null

0

null

0

1

0

1

08248ac0b1e2686f247d443d0208fc7018480282

1,327

py

Python

test/test_merge.py

tawiesn/sclblonnx

0cf73112db5df13009cd2ddb5d49744689096209

[ "MIT" ]

null

test/test_merge.py

tawiesn/sclblonnx

0cf73112db5df13009cd2ddb5d49744689096209

[ "MIT" ]

null

test/test_merge.py

tawiesn/sclblonnx

0cf73112db5df13009cd2ddb5d49744689096209

[ "MIT" ]

null

from sclblonnx import add_output, add_input, add_node, node, empty_graph, add_constant, display, merge, run import numpy as np def test_merge(): # Subgraph 1 sg1 = empty_graph("Graph 1") n1 = node('Add', inputs=['x1', 'x2'], outputs=['sum']) sg1 = add_node(sg1, n1) sg1 = add_input(sg1, 'x1', "FLOAT", [1]) sg1 = add_input(sg1, 'x2', "FLOAT", [1]) sg1 = add_output(sg1, 'sum', "FLOAT", [1]) # Subgraph 2 sg2 = empty_graph("Graph 2") sg2 = add_constant(sg2, "const", np.array([7]), "FLOAT") n2 = node("Equal", inputs=['sum', 'const'], outputs=['equal']) sg2 = add_node(sg2, n2) sg2 = add_input(sg2, 'sum', "FLOAT", [1]) sg2 = add_output(sg2, 'equal', "BOOL", [1]) g = merge(sg1, sg2, outputs=["sum"], inputs=["sum"]) in1 = {"x1": np.array([2]).astype(np.float32), "x2": np.array([5]).astype(np.float32)} result = run(g, inputs=in1, outputs=["equal"]) assert result[0], "Sum of 2 and 5 should be equal to constant 7." in2 = {"x1": np.array([4]).astype(np.float32), "x2": np.array([5]).astype(np.float32)} result = run(g, inputs=in2, outputs=["equal"]) assert not result[0], "Sum of 4 and 5 should not be equal to constant 7." # todo(McK): Add tests for multiple inputs-outputs # todo(McK): Add tests for graphs containing If

34.025641

107

0.605124

206

1,327

3.820388

0.291262

0.044473

0.076239

0.035578

0.233799

0.142313

0

0.06203

0.198191

1,327

38

108

34.921053

0.677632

0.087415

0

0.173732

0

0.026316

0.090909

1

0.045455

false

0

0.090909

0

0.136364

0

null

0

null

0

1

0

1

0836babd9f72c506519d713c961b9257fd759c19

447

py

Python

tests/my_select_group.py

oldjun/PyMyORM

ac49910f21d3f3d3d4b3d75a0f998526963f0a2a

[ "MIT" ]

1

2021-12-01T23:47:24.000Z

tests/my_select_group.py

oldjun/PyMyORM

ac49910f21d3f3d3d4b3d75a0f998526963f0a2a

[ "MIT" ]

null

tests/my_select_group.py

oldjun/PyMyORM

ac49910f21d3f3d3d4b3d75a0f998526963f0a2a

[ "MIT" ]

2

2022-01-03T15:03:37.000Z

2022-02-16T09:00:58.000Z

from pymyorm.database import Database from config import db from models.user import User if __name__ == '__main__': Database.connect(**db) # # case 1 # all = User.find().select('count(*) as count', 'money').group('money').order('count asc').all() # for one in all: # print(one) all = User.find().select('gender', 'count(*) as count', 'avg(money) as avg').group('gender').all() for one in all: print(one)

27.9375

102

0.615213

63

447

4.238095

0.460317

0.052434

0.082397

0.127341

0.164794

0

0.002825

0.208054

447

15

103

29.8

0.751412

0.295302

0

0.175325

0

1

0

false

0

0.375

0

0.375

0.125

0

null

0

null

0

1

0

1

083f30db4f011f2e287409fe5ae43ef0e966b47a

3,943

py

Python

tests/test_step.py

arup-group/mc

50b8faa8b9d40dece88e0a27f911edd427ebc064

[ "MIT" ]

null

tests/test_step.py

arup-group/mc

50b8faa8b9d40dece88e0a27f911edd427ebc064

[ "MIT" ]

12

2021-12-14T15:10:43.000Z

2022-03-31T13:39:25.000Z

tests/test_step.py

arup-group/mc

50b8faa8b9d40dece88e0a27f911edd427ebc064

[ "MIT" ]

null

from pathlib import Path import pytest from copy import deepcopy import os from mc.base import BaseConfig from mc import step @pytest.fixture() def config(): in_file = Path("tests/test_data/test_config.xml") return BaseConfig(in_file) def test_set_write_path(config): step.set_write_path(config, {'outputDirectory': 'testing'}) assert config['controler']['outputDirectory'] == 'testing' def test_set_input_paths(config): step.set_input_paths(config, {'matsim_source': 'test/ing'}) assert config['network']['inputNetworkFile'] == 'test/ing/network.xml' assert config['plans']['inputPlansFile'] == 'test/ing/population.xml.gz' assert config['plans']['inputPersonAttributesFile'] == 'test/ing/population_attributes.xml.gz' assert config['transit']['transitScheduleFile'] == 'test/ing/schedule-merged.xml' assert config['transit']['vehiclesFile'] == 'test/ing/vehicles.xml' assert config['transit']['transitLinesAttributesFile'] == 'null' def test_set_step(config): step.set_last_iteration(config, {'step': '999'}) assert config['controler']['lastIteration'] == '999' def test_find_and_set_param(config): step.find_and_set_overrides( config, {"modeParams:car/constant": "-1.0"} ) assert config['planCalcScore']['scoringParameters:default']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:bus']["constant"] == "0.0" def test_find_and_set_params(config): step.find_and_set_overrides( config, { "modeParams:car/constant": "-1.0", "scoringParameters:unknown/modeParams:bus/constant": "-1.0" } ) assert config['planCalcScore']['scoringParameters:default']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:bus']["constant"] == "-1.0" def test_find_and_set_bad_param(config): cnfg = deepcopy(config) step.find_and_set_overrides( config, {"modeParams:*/horseback": "-1.0"} ) assert cnfg == config def test_construct_overrides_map_from_tuple(): assert step.construct_override_map_from_tuple( ('a','b','c','d') ) == {'a':'b', 'c':'d'} def test_step_config(tmp_path): in_file = "tests/test_data/test_config.xml" out_file = os.path.join(tmp_path, "test_config.xml") step.step_config( input_file=in_file, output_file=out_file, overrides=( 'matsim_source', 'test/ing', 'outputDirectory', 'testing', 'step', '999', "modeParams:car/constant", "-1.0", "scoringParameters:unknown/modeParams:bus/constant", "-1.0" ) ) assert os.path.exists(out_file) config = BaseConfig(out_file) assert config['controler']['lastIteration'] == '999' assert config['controler']['outputDirectory'] == 'testing' assert config['network']['inputNetworkFile'] == 'test/ing/network.xml' assert config['plans']['inputPlansFile'] == 'test/ing/population.xml.gz' assert config['plans']['inputPersonAttributesFile'] == 'test/ing/population_attributes.xml.gz' assert config['transit']['transitScheduleFile'] == 'test/ing/schedule-merged.xml' assert config['transit']['vehiclesFile'] == 'test/ing/vehicles.xml' assert config['transit']['transitLinesAttributesFile'] == 'null' assert config['planCalcScore']['scoringParameters:default']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:car']["constant"] == "-1.0" assert config['planCalcScore']['scoringParameters:unknown']['modeParams:bus']["constant"] == "-1.0"

39.43

103

0.672331

441

3,943

5.854875

0.190476

0.116189

0.050349

0.076685

0.725019

0.656468

0.622773

0.605345

0

0.01259

0.153944

3,943

99

104

39.828283

0.761391

0

0.37037

0

0.420238

0.203398

0

0.345679

1

0.111111

false

0

0.074074

0

0.197531

0

null

0

1

0

null

0

1

0840e1f2cca91c8f40fea1035d91f9ed0ea2c8f1

15,552

py

Python

lambda_functions.py

intirix/serverless-secrets-manager

2c89b2c497f7078c38885125dfa79db944a214db

[ "Apache-2.0" ]

2

2018-05-23T06:04:13.000Z

2020-11-04T23:16:09.000Z

lambda_functions.py

intirix/serverless-secrets-manager

2c89b2c497f7078c38885125dfa79db944a214db

[ "Apache-2.0" ]

null

lambda_functions.py

intirix/serverless-secrets-manager

2c89b2c497f7078c38885125dfa79db944a214db

[ "Apache-2.0" ]

null

#!/usr/bin/python import system import db import client import server import logging import json import base64 import os from aws_xray_sdk.core import patch_all if "AWS_REGION" in os.environ: patch_all() class LambdaCommon: def __init__(self, ddb_client=None): self.log = logging.getLogger("Lambda") self.system = system.System() userTable = "secrets-users" if "USERS_TABLE" in os.environ: userTable = os.environ["USERS_TABLE"] secretsTable = "secrets-secrets" if "SECRETS_TABLE" in os.environ: secretsTable = os.environ["SECRETS_TABLE"] self.db = db.CacheDB(db.DynamoDB(userTable, secretsTable, ddb_client)) self.system.setDB(self.db) self.system.init() self.client = client.Client(client.ClientSystemInterface(self.system)) self.server = server.Server(self.system) self.resp = None self.ctx = None self.mockUser = None if "MOCK_USER" in os.environ and len(os.environ["MOCK_USER"]) > 0: self.mockUser = os.environ["MOCK_USER"] def _response401(self): self.resp = {"statusCode": 401} def authenticate(self, event): if self.mockUser != None: self.ctx = self.server.mockAuthentication(self.mockUser) return if ( event == None or not "headers" in event or event["headers"] == None or not "Authorization" in event["headers"] ): self._response401() return self.ctx = self.server.validateAuthenticationHeader( event["headers"]["Authorization"] ) if self.ctx == None: self._response401() return def getResponse(self): return self.resp def get_body(event): if not "body" in event: return None if event["body"] == None: return None if "isBase64Encoded" in event and event["isBase64Encoded"] == True: return base64.b64decode(event["body"]) return event["body"] def matches(event, meth, path): log = logging.getLogger("Lambda") if event == None: return False if not "httpMethod" in event or meth != event["httpMethod"]: return False if "requestContext" in event and "resourcePath" in event["requestContext"]: if path == event["requestContext"]["resourcePath"]: log.info("Matched " + meth + " to " + path) return True return False _singleton = None def get_lambda_common(): global _singleton if _singleton is None: _singleton = LambdaCommon() return _singleton def single_func(event, context): # print(json.dumps(event,indent=2)) if matches(event, "GET", "/v1/users"): return list_users(event, context) if matches(event, "GET", "/v1/users/{username}"): return get_user(event, context) if matches(event, "PUT", "/v1/users/{username}"): return update_user(event, context) if matches(event, "POST", "/v1/users/{username}"): return create_user(event, context) if matches(event, "GET", "/v1/users/{username}/keys/public"): return get_user_public_key(event, context) if matches(event, "PUT", "/v1/users/{username}/keys/public"): return set_user_public_key(event, context) if matches(event, "POST", "/v1/users/{username}/keys/public"): return set_user_public_key(event, context) if matches(event, "POST", "/v1/users/{username}/keys"): return generate_user_keys(event, context) if matches(event, "GET", "/v1/users/{username}/keys/private/encrypted"): return get_user_private_key_encrypted(event, context) if matches(event, "PUT", "/v1/users/{username}/keys/private/encrypted"): return set_user_private_key_encrypted(event, context) if matches(event, "POST", "/v1/users/{username}/keys/private/encrypted"): return set_user_private_key_encrypted(event, context) if matches(event, "GET", "/v1/users/{username}/secrets"): return get_user_secrets(event, context) if matches(event, "GET", "/v1/secrets/{sid}"): return get_secret(event, context) if matches(event, "PUT", "/v1/secrets/{sid}"): return update_secret(event, context) if matches(event, "POST", "/v1/secrets"): return add_secret(event, context) if matches(event, "PUT", "/v1/secrets/{sid}/users/{username}"): return share_secret(event, context) if matches(event, "DELETE", "/v1/secrets/{sid}/users/{username}"): return unshare_secret(event, context) print("Did not match the event") return {"statusCode": 404} def list_users(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: return { "statusCode": 200, "body": json.dumps(obj.server.listUsers(obj.ctx), indent=2), } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def get_user(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] return { "statusCode": 200, "body": json.dumps(obj.server.getUser(obj.ctx, user), indent=2), } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def update_user(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] body = get_body(event) if obj.server.updateUser(obj.ctx, user, body): return { "statusCode": 200, "body": json.dumps(obj.server.getUser(obj.ctx, user), indent=2), } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def set_user_public_key(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] body = get_body(event) keyType = obj.server.getPublicKeyType(body) if obj.server.setUserPublicKey(obj.ctx, user, body, keyType): return { "statusCode": 200, "body": json.dumps(obj.server.getUser(obj.ctx, user), indent=2), } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def create_user(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] body = get_body(event) if obj.server.addUser(obj.ctx, user, body): if obj.server.addUser(obj.ctx, user, body): return { "statusCode": 201, "body": json.dumps(obj.server.getUser(obj.ctx, user), indent=2), } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def get_user_public_key(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] pem = obj.server.getUserPublicKey(obj.ctx, user) if pem == None: return {"statusCode": 404} return { "statusCode": 200, "body": pem, "headers": {"Content-Type": "application/x-pem-file"}, } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def get_user_private_key_encrypted(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] data = obj.server.getUserEncryptedPrivateKey(obj.ctx, user) if isinstance(data, str): data = data.encode("UTF-8") b64 = base64.b64encode(data).decode("UTF-8") return { "statusCode": 200, "body": b64, "headers": {"Content-Type": "application/octet-stream"}, "isBase64Encoded": True, } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def generate_user_keys(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] body = get_body(event) if body is None: obj.log.exception("Password not provided in body") return {"statusCode": 400} body = body.strip() generate = False if ( "queryStringParameters" in event and "generate" in event["queryStringParameters"] ): generate = "true" == event["queryStringParameters"]["generate"] if generate: pem = obj.server.generateKeysForUser(obj.ctx, user, body) return { "statusCode": 200, "body": pem, "headers": {"Content-Type": "application/x-pem-file"}, } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def set_user_private_key_encrypted(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] body = get_body(event) if obj.server.setUserEncryptedPrivateKey(obj.ctx, user, body): return { "statusCode": 200, "body": json.dumps(obj.server.getUser(obj.ctx, user), indent=2), } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def get_user_secrets(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: user = event["pathParameters"]["username"] return { "statusCode": 200, "body": json.dumps(obj.server.getMySecrets(obj.ctx, user), indent=2), } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def get_secret(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: sid = event["pathParameters"]["sid"] return { "statusCode": 200, "body": json.dumps(obj.server.getSecret(obj.ctx, sid), indent=2), } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def update_secret(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: sid = event["pathParameters"]["sid"] body = get_body(event) if obj.server.updateSecret(obj.ctx, sid, body): return { "statusCode": 200, "body": json.dumps(obj.server.getSecret(obj.ctx, sid), indent=2), } return {"statusCode": 404} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def add_secret(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: body = get_body(event) sid = obj.server.addSecret(obj.ctx, body) return { "statusCode": 201, "body": json.dumps(obj.server.getSecret(obj.ctx, sid), indent=2), } except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def share_secret(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: sid = event["pathParameters"]["sid"] user = event["pathParameters"]["username"] body = get_body(event) ret = obj.server.shareSecret(obj.ctx, sid, user, body) return {"statusCode": 200, "body": json.dumps(ret, indent=2)} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} def unshare_secret(event, context): obj = get_lambda_common() obj.authenticate(event) if obj.getResponse() != None: return obj.getResponse() try: sid = event["pathParameters"]["sid"] user = event["pathParameters"]["username"] ret = obj.server.unshareSecret(obj.ctx, sid, user) return {"statusCode": 200, "body": json.dumps(ret, indent=2)} except server.AccessDeniedException: obj.log.exception("Access Denied") return {"statusCode": 403} except: obj.log.exception("Error") return {"statusCode": 500} return {"statusCode": 404} FORMAT = "%(asctime)-15s %(message)s" logging.basicConfig(format=FORMAT)

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84

0.600244

1,676

15,552

5.49284

0.102625

0.119922

0.050511

0.036498

0.703237

0.69748

0.682381

0.669889

0.654573

0.630241

0

0.024065

0.267876

15,552

524

85

29.679389

0.784472

0.003215

0

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0.030774

0

1

0.053738

false

0.002336

0.021028

0.002336

0.343458

0.002336

0

null

0

1

0

null

0

1

0845d2588d5c55abf24f9ab405009bd284d758d8

833

py

Python

tests/test_composition.py

gregorynicholas/proto-pigeon

65a5d961e7a8506f3a968b21aaf68f625fd13190

[ "Apache-2.0" ]

null

tests/test_composition.py

gregorynicholas/proto-pigeon

65a5d961e7a8506f3a968b21aaf68f625fd13190

[ "Apache-2.0" ]

null

tests/test_composition.py

gregorynicholas/proto-pigeon

65a5d961e7a8506f3a968b21aaf68f625fd13190

[ "Apache-2.0" ]

null

from protorpc.messages import Message, IntegerField, StringField import protopigeon class MessageOne(Message): one = IntegerField(1) two = IntegerField(2) class MessageTwo(Message): three = StringField(1) four = StringField(2) def test(): ComposedMessage = protopigeon.compose(MessageOne, MessageTwo) assert hasattr(ComposedMessage, 'one') assert hasattr(ComposedMessage, 'two') assert hasattr(ComposedMessage, 'three') assert hasattr(ComposedMessage, 'four') # Make sure these fields weren't modified assert MessageOne.one.number == 1 assert MessageOne.two.number == 2 assert MessageTwo.three.number == 1 assert MessageTwo.four.number == 2 instance = ComposedMessage( one=1, two=2, three='three', four='four') assert instance

23.138889

65

0.686675

89

833

6.426966

0.359551

0.090909

0.195804

0

0.015314

0.216086

833

35

66

23.8

0.860643

0.046819

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0.030303

0

0.375

1

0.041667

false

0

0.083333

0

0.375

0

null

0

1

0

null

0

1

084d1fd01b6f648a85848dd0310b96b0d8966a0e

651

py

Python

yotta/options/registry.py

microbit-foundation/yotta

82d854b43d391abb5a006b05e7beffe7d0d6ffbf

[ "Apache-2.0" ]

176

2015-01-02T07:31:59.000Z

2022-03-21T12:40:02.000Z

yotta/options/registry.py

microbit-foundation/yotta

82d854b43d391abb5a006b05e7beffe7d0d6ffbf

[ "Apache-2.0" ]

549

2015-01-05T16:19:54.000Z

2021-01-15T13:46:42.000Z

yotta/options/registry.py

microbit-foundation/yotta

82d854b43d391abb5a006b05e7beffe7d0d6ffbf

[ "Apache-2.0" ]

84

2015-01-10T21:01:00.000Z

2022-03-24T16:04:42.000Z

# Copyright 2014-2015 ARM Limited # # Licensed under the Apache License, Version 2.0 # See LICENSE file for details. # standard library options from argparse import Action, SUPPRESS class RegistryAction(Action): def __init__(self, *args, **kwargs): kwargs['nargs'] = 1 self.dest = kwargs['dest'] super(RegistryAction, self).__init__(*args, **kwargs) def __call__(self, parser, namespace, values, option_string=None): setattr(namespace, self.dest, values[0]) def addTo(parser): parser.add_argument( '--registry', default=None, dest='registry', help=SUPPRESS, action=RegistryAction )

27.125

70

0.680492

77

651

5.571429

0.649351

0.04662

0

0.023077

0.201229

651

23

71

28.304348

0.801923

0.204301

0

0.052734

0

1

0.230769

false

0

0.076923

0

0.384615

0

null

0

null

0

1

0

1

084edafd90972abf12ce9cf828ac494b0afdd467

4,453

py

Python

src/pybraingym/environment.py

anetczuk/pybraingym

4f930021d7802e88c75a1a0aed135dd4de66cc1b

[ "MIT" ]

null

src/pybraingym/environment.py

anetczuk/pybraingym

4f930021d7802e88c75a1a0aed135dd4de66cc1b

[ "MIT" ]

null

src/pybraingym/environment.py

anetczuk/pybraingym

4f930021d7802e88c75a1a0aed135dd4de66cc1b

[ "MIT" ]

null

# MIT License # # Copyright (c) 2019 Arkadiusz Netczuk <dev.arnet@gmail.com> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # from pybrain.rl.environments.environment import Environment from gym.spaces.discrete import Discrete class GymEnvironment(Environment): def __init__(self, gymRawEnv): Environment.__init__(self) observationSpace = gymRawEnv.observation_space if type(observationSpace) == Discrete: self.outdim = 1 self.discreteStates = True self.numStates = observationSpace.n actionSpace = gymRawEnv.action_space if type(actionSpace) == Discrete: self.indim = 1 self.discreteActions = True self.numActions = actionSpace.n self.env = gymRawEnv self.observation = None self.reward = 0 self.cumReward = 0 self.done = True self.info = None self.transform = None self.doCumulative = False self.doRender = False def setRendering(self, render=True): self.doRender = render def getCumulativeRewardMode(self): return self.doCumulative def setCumulativeRewardMode(self, cumulativeReward=True): self.doCumulative = cumulativeReward def setTransformation(self, transformation): self.transform = transformation self.transform.env = self # ========================================================================== def getSensors(self): return self.observation def performAction(self, action): if self.transform is not None: action = self.transform.action(action) self.observation, self.reward, self.done, self.info = self.env.step(action) if self.transform is not None: self.observation = self.transform.observation(self.observation) self.reward = self.transform.reward(self.reward) self.cumReward += self.reward def reset(self): self.done = False self.reward = 0 self.cumReward = 0 self.info = None self.observation = self.env.reset() if self.transform is not None: self.observation = self.transform.observation(self.observation) # ========================================================================== def getReward(self): if self.doCumulative: return self.cumReward else: return self.reward def sampleAction(self): return self.env.action_space.sample() def render(self): self.env.render() def close(self): self.env.close() class Transformation: def __init__(self): self._env = None @property def env(self): return self._env @env.setter def env(self, new_env): self._env = new_env def observation(self, observationValue): """Transform observation value received from OpenAi Gym. Transformed value is passed to PyBrain. For discrete observations Gym often returns single value, but PyBrain always requires array. """ return observationValue def action(self, actionValue): """Transform action value received from PyBrain and pass result to OpenAi Gym.""" return actionValue def reward(self, rewardValue): """Transform reward value received from OpenAi Gym and pass result to PyBrain.""" return rewardValue

32.50365

104

0.651246

511

4,453

5.636008

0.348337

0.045139

0.032986

0.017708

0.119792

0.086806

0.054167

0

0.002978

0.245902

4,453

136

105

32.742647

0.854675

0.355042

0

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0

1

0.233766

false

0

0.025974

0.051948

0.402597

0

null

0

null

0

1

0

1

085a588c3443a2133c8229f5612a92a5ee522cad

335

py

Python

src/videos/migrations/0009_rename_updated_timestamp_video_updated.py

imsubhamsingh/vibeon

5ea67bb8dae0a0c28d36f81374eb4f046d842cf5

[ "Apache-2.0" ]

null

src/videos/migrations/0009_rename_updated_timestamp_video_updated.py

imsubhamsingh/vibeon

5ea67bb8dae0a0c28d36f81374eb4f046d842cf5

[ "Apache-2.0" ]

2

2021-07-19T18:41:46.000Z

2022-02-10T11:43:07.000Z

src/videos/migrations/0009_rename_updated_timestamp_video_updated.py

imsubhamsingh/vibeon

5ea67bb8dae0a0c28d36f81374eb4f046d842cf5

[ "Apache-2.0" ]

null

# Generated by Django 3.2 on 2021-04-20 19:34 from django.db import migrations class Migration(migrations.Migration): dependencies = [("videos", "0008_video_updated_timestamp")] operations = [ migrations.RenameField( model_name="video", old_name="updated_timestamp", new_name="updated" ) ]

22.333333

80

0.674627

39

335

5.615385

0.74359

0.146119

0

0.068441

0.214925

335

14

81

23.928571

0.764259

0.128358

0

1

0

0.217241

0.096552

0

1

0

false

0

0.125

0

0.5

0

null

0

1

0

null

0

1

f23153ff9da39e77238d222d2874c0c47b3effe7

1,765

py

Python

tests/test_copies.py

mschmidtkorth/shallow-backup

6629fed7d5a3a13eb068c7ef0168cfa8ffbd3bbf

[ "MIT" ]

1

2021-07-25T19:26:47.000Z

tests/test_copies.py

mschmidtkorth/shallow-backup

6629fed7d5a3a13eb068c7ef0168cfa8ffbd3bbf

[ "MIT" ]

null

tests/test_copies.py

mschmidtkorth/shallow-backup

6629fed7d5a3a13eb068c7ef0168cfa8ffbd3bbf

[ "MIT" ]

null

import os import sys import pytest import shutil from .test_utils import setup_env_vars, unset_env_vars, BACKUP_DEST_DIR, FAKE_HOME_DIR, DIRS sys.path.insert(0, "../shallow_backup") from shallow_backup.utils import copy_dir_if_valid TEST_TEXT_FILE = os.path.join(FAKE_HOME_DIR, 'test-file.txt') class TestCopyMethods: """ Test the functionality of copying """ @staticmethod def setup_method(): setup_env_vars() try: os.mkdir(FAKE_HOME_DIR) except FileExistsError: shutil.rmtree(FAKE_HOME_DIR) os.mkdir(FAKE_HOME_DIR) print(f"Created {TEST_TEXT_FILE}") open(TEST_TEXT_FILE, "w+").close() @staticmethod def teardown_method(): for directory in DIRS: if os.path.isdir(directory): shutil.rmtree(directory) unset_env_vars() def test_copy_dir(self): """ Test that copying a directory works as expected """ # TODO: Test that all subfiles and folders are copied. test_dir = 'subdir-to-copy' test_path = os.path.join(FAKE_HOME_DIR, test_dir) os.mkdir(test_path) copy_dir_if_valid(FAKE_HOME_DIR, BACKUP_DEST_DIR) assert os.path.isdir(test_path) assert os.path.isfile(os.path.join(BACKUP_DEST_DIR, os.path.split(TEST_TEXT_FILE)[1])) assert os.path.isdir(os.path.join(BACKUP_DEST_DIR, test_dir)) @pytest.mark.parametrize('invalid', {".Trash", ".npm", ".cache", ".rvm"}) def test_copy_dir_invalid(self, invalid): """ Test that attempting to copy an invalid directory fails """ copy_dir_if_valid(invalid, FAKE_HOME_DIR) assert not os.path.isdir(os.path.join(BACKUP_DEST_DIR, invalid))

32.090909

94

0.65779

245

1,765

4.465306

0.342857

0.060329

0.080439

0.038391

0.161792

0.128885

0.107861

0.062157

0

0.001487

0.23796

1,765

54

95

32.685185

0.811896

0.108215

0

0.108108

0

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0

0.018519

0.108108

1

0.108108

false

0

0.162162

0

0.297297

0.027027

0

null

0

null

0

1

0

1

f2320f768e412bebfaa5c2e31eeb4a3c480eacaf

1,395

py

Python

loan/killeragent.py

Casper-Smet/LOAN

3aabf80cf4314bcba33779329fc6e4971b85e742

[ "MIT" ]

null

loan/killeragent.py

Casper-Smet/LOAN

3aabf80cf4314bcba33779329fc6e4971b85e742

[ "MIT" ]

null

loan/killeragent.py

Casper-Smet/LOAN

3aabf80cf4314bcba33779329fc6e4971b85e742

[ "MIT" ]

null

from collections import namedtuple import networkx as nx from mesa import Agent, Model class KillerAgent(Agent): def __init__(self, unique_id: int, model: Model, creator, pos: int, target_location: int, target_disease: str) -> None: super().__init__(unique_id, model) self.creator = creator self.pos = pos self.target_location = target_location self.target_disease = target_disease self.arrived_on_location = False self.shortest_path_to_target_node = [] def perceive(self) -> None: self.arrived_on_location = self.pos == self.target_location self.shortest_path_to_target_node = nx.shortest_path(G=self.model.network, source=self.pos, target=self.target_location) def act(self) -> None: ... def update(self) -> None: if self.arrived_on_location: if self.pos in self.model.ill_vertices: self.model.restore_vertex(self.pos) self.model.grid._remove_agent(self, self.pos) self.model.schedule.remove(self) else: self.model.grid.move_agent(self, self.shortest_path_to_target_node[1]) def __repr__(self) -> str: return f"{self.__class__.__name__} {self.model}/{self.unique_id}: Position {self.pos}" def __str__(self) -> str: return self.__repr__() def emojify(self): return " 💉"

34.875

128

0.658065

182

1,395

4.703297

0.318681

0.057243

0.063084

0.073598

0.098131

0

0.000939

0.236559

1,395

40

129

34.875

0.801878

0

0.032258

0.055874

0.039398

0

1

0.225806

false

0

0.096774

0.451613

0

null

0

null

0

1

0

1

f2377bda1f457053d6b4f86097a8d1ba0041422b

260

py

Python

src/arm/src/iksolverservicetester.py

Busboombot/ros_idx6dof

63b3a49393ab2c619b6b56c634cd440ab9b464ef

[ "MIT" ]

1

2020-03-15T15:30:43.000Z

src/arm/src/iksolverservicetester.py

Busboombot/ros_idx6dof

63b3a49393ab2c619b6b56c634cd440ab9b464ef

[ "MIT" ]

null

src/arm/src/iksolverservicetester.py

Busboombot/ros_idx6dof

63b3a49393ab2c619b6b56c634cd440ab9b464ef

[ "MIT" ]

null

#!/usr/bin/python import rospy from arm.srv import IKService, IKServiceResponse rospy.init_node("asdf", anonymous=True) rospy.wait_for_service('IKService') srv = rospy.ServiceProxy('IKService', IKService) resp = srv([5, 16, 8, 0, 0, 0], None) print resp

17.333333

48

0.734615

38

260

4.947368

0.684211

0.021277

0

0.030702

0.123077

260

14

49

18.571429

0.79386

0.061538

0

0.090535

0

null

0

0.285714

null

0.142857

0

null

0

null

0

1

0

1

f23e9e3046350977154c8ce79c350de302fd2dce

197

py

Python

04_While/Step03/gamjapark.py

StudyForCoding/BEAKJOON

84e1c5e463255e919ccf6b6a782978c205420dbf

[ "MIT" ]

null

04_While/Step03/gamjapark.py

StudyForCoding/BEAKJOON

84e1c5e463255e919ccf6b6a782978c205420dbf

[ "MIT" ]

3

2020-11-04T05:38:53.000Z

2021-03-02T02:15:19.000Z

04_While/Step03/gamjapark.py

StudyForCoding/BEAKJOON

84e1c5e463255e919ccf6b6a782978c205420dbf

[ "MIT" ]

null

n = int(input()) temp_n = n k=0 while True: a = int(temp_n / 10) b = temp_n % 10 c = (a + b) % 10 new = b*10 + c k += 1 if new == n: break temp_n = new print(k)

14.071429

24

0.446701

38

197

2.210526

0.447368

0.238095

0.166667

0

0.084746

0.401015

197

13

25

15.153846

0.627119

0

1

0

false

0

0.076923

0

null

1

0

null

0

1

f23ec9a0fbd46e6d9b5f8659349c47ab52aec354

333

py

Python

bbtest/steps/appliance_steps.py

jancajthaml-openbank/e2e

a2ef84b6564022e95de76438fc795e2ef927aa2b

[ "Apache-2.0" ]

null

bbtest/steps/appliance_steps.py

jancajthaml-openbank/e2e

a2ef84b6564022e95de76438fc795e2ef927aa2b

[ "Apache-2.0" ]

30

2018-03-18T05:58:32.000Z

2022-01-19T23:21:31.000Z

bbtest/steps/appliance_steps.py

jancajthaml-openbank/e2e

a2ef84b6564022e95de76438fc795e2ef927aa2b

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from behave import * from helpers.eventually import eventually @given('appliance is running') def appliance_running(context): @eventually(5) def wait_for_appliance_up(): assert context.appliance.running(), 'appliance did not start within 5 seconds' wait_for_appliance_up()

23.785714

82

0.744745

45

333

5.355556

0.622222

0.13278

0.149378

0

0.013937

0.138138

333

13

83

25.615385

0.825784

0.129129

0

0.208333

0

0.125

1

0.25

false

0

0.25

0

0.5

0

null

0

null

0

1

0

1

f23fb929e898694417f38446747b98726264f0e7

1,211

py

Python

irkshop/urls.py

Beomi/irkshop

c109a62216cb6550add64fbf402883debc5011d1

[ "Apache-2.0" ]

19

2016-11-06T10:28:14.000Z

2020-11-01T02:04:51.000Z

irkshop/urls.py

Beomi/irkshop

c109a62216cb6550add64fbf402883debc5011d1

[ "Apache-2.0" ]

17

2016-10-19T11:58:48.000Z

2022-01-13T00:32:34.000Z

irkshop/urls.py

Beomi/irkshop

c109a62216cb6550add64fbf402883debc5011d1

[ "Apache-2.0" ]

4

2016-11-06T10:54:26.000Z

2019-08-31T16:08:56.000Z

from django.conf.urls import url, include from django.contrib import admin from django.contrib.auth.views import login, logout from django.conf import settings from django.views.static import serve from django.views.generic import TemplateView urlpatterns = [ url(r'^admin/', admin.site.urls), url(r'^accounts/login/$', login, {'template_name': 'login_page/login.html'}, name='login'), url(r'^accounts/logout/$', logout, name='logout'), url('', include('social_django.urls', namespace='social')), # 이 줄을 등록해주면 됩니다. url(r'^ckeditor/', include('ckeditor_uploader.urls')), url(r'^ht/', include('health_check.urls')), url(r'^paypal/', include('paypal.standard.ipn.urls')), url(r'^shop/', include('goods.urls', namespace='shop')), url(r'^$', TemplateView.as_view(template_name='index.html')), ] if settings.DEBUG: import debug_toolbar from django.conf.urls.static import static urlpatterns += [ url(r'^__debug__/', include(debug_toolbar.urls)), url(r'^uploads/(?P<path>.*)$', serve, {'document_root': settings.MEDIA_ROOT}), ] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)

41.758621

101

0.663088

155

1,211

5.064516

0.348387

0.050955

0.04586

0

0.168456

1,211

28

102

43.25

0.779543

0.012386

0

0.229481

0.074539

0

1

0

false

0

0.32

0

0.32

0

null

0

null

0

1

0

1

f2414f0188cf0460b22148b0732eea50d4b58390

5,142

py

Python

plag/urls.py

neetu6860/plagiarism-detection-software

7f05210aafdccf33a2bc732a40348eff43f46fba

[ "MIT" ]

19

2018-09-03T09:10:20.000Z

2021-12-24T13:52:18.000Z

plag/urls.py

neetu6860/plagiarism-detection-software

7f05210aafdccf33a2bc732a40348eff43f46fba

[ "MIT" ]

3

2019-10-31T18:42:38.000Z

2021-06-10T21:37:23.000Z

plag/urls.py

neetu6860/plagiarism-detection-software

7f05210aafdccf33a2bc732a40348eff43f46fba

[ "MIT" ]

16

2018-06-06T15:04:59.000Z

2022-03-29T04:53:07.000Z

from django.conf.urls import patterns, url from django.contrib import admin from django.contrib.auth.decorators import login_required from django.views.generic import TemplateView admin.autodiscover() from plag import views, const urlpatterns = patterns('', url(r'^$', views.IndexView.as_view(), name='index'), url(r'^index-trial/$', views.IndexTrialView.as_view(), name='index_trial'), url(r'^download/(?P<prot_res_id>\d+)$', views.download_file, name='download'), url(r'^products/$', TemplateView.as_view(template_name='plag/static/products.html'), name='products'), url(r'^features-screenshots/$', TemplateView.as_view(template_name='plag/static/features_and_screenshots.html'), name='features'), url(r'^url-protection/$', TemplateView.as_view(template_name='plag/static/url_protection.html'), name='url_prot'), url(r'^document-protection/$', TemplateView.as_view(template_name='plag/static/doc_protection.html'), name='doc_prot'), url(r'^pricing/$', TemplateView.as_view(template_name='plag/static/pricing.html'), name='pricing'), url(r'^risks-of-plagiarism/$', TemplateView.as_view(template_name='plag/static/risks_of_plagiarism.html'), name='risks_plag'), url(r'^about-us/$', TemplateView.as_view(template_name='plag/static/about.html'), name='about'), url(r'^our-customers/$', TemplateView.as_view(template_name='plag/static/our_customers.html'), name='our_customers'), url(r'^contact-us/$', TemplateView.as_view(template_name='plag/static/contact_us.html'), name='contact'), url(r'^order/$', views.OrderView.as_view(), name='order'), url(r'^ajax/username-check/$', views.username_unique, name='ajax_username_unique'), url(r'^account/$', views.account, name='account'), url(r'^account/profile/$', login_required(views.ProfileView.as_view()), name='profile'), url(r'^account/invoice/(?P<pk>\d+)$', views.invoice, name='invoice'), url(r'^account/invoice/pay/(?P<pk>\d+)$', views.pay_invoice, name='pay_invoice'), url(r'^account/invoice/subscribe/(?P<pk>\d+)$', views.subscribe_invoice, name='subscribe_invoice'), url(r'^ipn-endpoint/$', views.ipn, name='ipn'), url(r'^account/recent-scans/$', views.recent_scans, name='recent_scans_default'), url(r'^account/recent-scans/(?P<num_days>\d+)$', views.recent_scans, name='recent_scans'), url(r'^account/recent-scans/(?P<num_days>\d+)/(?P<hide_zero>hide-zero)$', views.recent_scans, name='recent_scans_hide_zero'), url(r'^account/scan-history/$', views.scan_history, name='scan_history'), url(r'^account/scan-history/(?P<hide_zero>hide-zero)$', views.scan_history, name='scan_history_hide_zero'), url(r'^ajax/plag-results/$', views.plagiarism_results, name='ajax_plag_results_default'), url(r'^ajax/plag-results/(?P<scan_id>\d+)$', views.plagiarism_results, name='plag_results'), url(r'^ajax/sitemap/$', views.sitemap_to_urls, name='ajax_urls'), url(r'^account/protected-resources/$', login_required(views.ProtectedResources.as_view()), name='protected_resources'), url(r'^sitemap/$', TemplateView.as_view(template_name='plag/static/sitemap.html'), name='sitemap'), url(r'^terms-of-service/$', TemplateView.as_view(template_name='plag/static/terms_of_service.html'), name='terms_of_service'), url(r'^privacy-policy/$', TemplateView.as_view(template_name='plag/static/privacy_policy.html'), name='privacy_policy'), # TODO Remove url(r'^data-cleanse/$', views.data_cleanse, name='data_cleanse'), url(r'^copyright/$', TemplateView.as_view(template_name='plag/static/copyright.html'), name='copyright'), url(r'^login/$', 'django.contrib.auth.views.login', {'template_name': 'plag/static/login_error.html'}), url(r'^logout/$', 'django.contrib.auth.views.logout', {'next_page': 'index'}, name='logout'), )

57.775281

119

0.532283

536

5,142

4.923507

0.18097

0.054566

0.084881

0.116711

0.359606

0.30125

0.229632

0.093217

0.023494

0

0.317581

5,142

88

120

58.431818

0.752066

0.002139

0

0.014925

0.32092

0.200039

0

0.011364

0

1

0

false

0

0.074627

0

0.074627

0

null

0

null

0

1

0

1

f2470b57f1baf4a7e69d418b396753a2d81c5b04

752

py

Python

authentik/sources/saml/migrations/0011_auto_20210324_0736.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

15

2020-01-05T09:09:57.000Z

2020-11-28T05:27:39.000Z

authentik/sources/saml/migrations/0011_auto_20210324_0736.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

302

2020-01-21T08:03:59.000Z

2020-12-04T05:04:57.000Z

authentik/sources/saml/migrations/0011_auto_20210324_0736.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

3

2020-03-04T08:21:59.000Z

2020-08-01T20:37:18.000Z

# Generated by Django 3.1.7 on 2021-03-24 07:36 import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("authentik_flows", "0016_auto_20201202_1307"), ("authentik_sources_saml", "0010_samlsource_pre_authentication_flow"), ] operations = [ migrations.AlterField( model_name="samlsource", name="pre_authentication_flow", field=models.ForeignKey( help_text="Flow used before authentication.", on_delete=django.db.models.deletion.CASCADE, related_name="source_pre_authentication", to="authentik_flows.flow", ), ), ]

28.923077

78

0.62633

77

752

5.87013

0.636364

0.053097

0.061947

0.097345

0

0.06422

0.275266

752

25

79

30.08

0.765138

0.05984

0

0.105263

1

0

0.296454

0.187234

0

1

0

false

0

0.105263

0

0.263158

0

null

0

1

0

null

0

1

f249ee34b1745d4a243c396362c75f872d9af531

687

py

Python

Software_Carpentry/Conway/test_conway.py

dgasmith/SICM2-Software-Summer-School-2014

af97770cbade3bf4a246f21e607e8be66c9df7da

[ "MIT" ]

2

2015-07-16T14:00:27.000Z

2016-01-10T20:21:48.000Z

Software_Carpentry/Conway/test_conway.py

dgasmith/SICM2-Software-Summer-School-2014

af97770cbade3bf4a246f21e607e8be66c9df7da

[ "MIT" ]

null

Software_Carpentry/Conway/test_conway.py

dgasmith/SICM2-Software-Summer-School-2014

af97770cbade3bf4a246f21e607e8be66c9df7da

[ "MIT" ]

null

from conway import * def test_neighbors_at_origin(): result = [(1,1), (-1,-1), (0,1), (1,0), (-1,1), (1,-1), (-1,0), (0,-1)] nb = neighbors((0,0)) assert( set(result) == set(nb) ) def test_neighbors_at_negative_quadrant(): result = [(0, -1), (-2, -1), (-1, 0), (-1, -2), (0, 0), (0, -2), (-2, 0), (-2, -2)] nb = neighbors((-1,-1)) assert( set(result) == set(nb) ) def test_blinker(): blinker = [(-1,0), (0,0), (1,0)] result = conway(blinker, generations=2) assert( set(result) == set(blinker) ) def test_block(): block = [(0,0), (0,1), (1,0), (1,1)] result = conway(block, generations=2) assert( set(result) == set(block) )

28.625

87

0.513828

108

687

3.185185

0.185185

0.069767

0.043605

0.046512

0.389535

0.366279

0.156977

0

0.096475

0.215429

687

23

88

29.869565

0.541744

0

0.117647

0

0.235294

1

0.235294

false

0

0.058824

0

0.294118

0

null

0

null

0

1

0

1

f24a5dc578f63a0c2e113a798ce9969cd7ed080c

5,426

py

Python

app_backend/__init__.py

zhanghe06/bearing_project

78a20fc321f72d3ae05c7ab7e52e01d02904e3fc

[ "MIT" ]

1

2020-06-21T04:08:26.000Z

app_backend/__init__.py

zhanghe06/bearing_project

78a20fc321f72d3ae05c7ab7e52e01d02904e3fc

[ "MIT" ]

13

2019-10-18T17:19:32.000Z

2022-01-13T00:44:43.000Z

app_backend/__init__.py

zhanghe06/bearing_project

78a20fc321f72d3ae05c7ab7e52e01d02904e3fc

[ "MIT" ]

5

2019-02-07T03:15:16.000Z

2021-09-04T14:06:28.000Z

#!/usr/bin/env python # encoding: utf-8 """ @author: zhanghe @software: PyCharm @file: __init__.py @time: 2018-03-06 00:00 """ from __future__ import unicode_literals import eventlet eventlet.monkey_patch() from logging.config import dictConfig from config import current_config from flask import Flask from flask_wtf.csrf import CSRFProtect from flask_login import LoginManager from flask_moment import Moment from flask_oauthlib.client import OAuth from flask_mail import Mail from flask_principal import Principal import flask_excel as excel # from flask_socketio import SocketIO from flask_sqlalchemy import SQLAlchemy from flask_babel import Babel, gettext as _ from app_common.libs.redis_session import RedisSessionInterface from app_backend.clients.client_redis import redis_client app = Flask(__name__) app.config.from_object(current_config) app.config['REMEMBER_COOKIE_NAME'] = app.config['REMEMBER_COOKIE_NAME_BACKEND'] app.session_cookie_name = app.config['SESSION_COOKIE_NAME_BACKEND'] app.session_interface = RedisSessionInterface( redis=redis_client, prefix=app.config['REDIS_SESSION_PREFIX_BACKEND'], ) # CSRF Protection AJAX requests csrf = CSRFProtect(app) login_manager = LoginManager() login_manager.init_app(app) # setup_app 方法已淘汰 login_manager.login_view = 'auth.index' login_manager.login_message = _('Please log in to access this page.') login_manager.login_message_category = 'warning' # 设置消息分类 login_manager.localize_callback = _ # 设置翻译回调 login_manager.session_protection = 'basic' # 设置安全等级（basic、strong、None） # 用户电脑的标识（基本上是 IP 地址和 User Agent 的 MD5 hash 值） # basic 模式下，如果该标识未匹配，会话会简单地被标记为非活跃的，且任何需要活跃登入的东西会强制用户重新验证。 # strong模式下，如果该标识未匹配，整个会话（记住的令牌如果存在，则同样）被删除。 # Moment 时间插件 moment = Moment(app) # 权限管理插件 principals = Principal(app, skip_static=True) # 国际化本地化 babel = Babel(app) excel.init_excel(app) # SocketIO # socketio = SocketIO() # socketio.init_app(app, async_mode='eventlet', message_queue=app.config['REDIS_URL']) # 第三方开放授权登录 oauth = OAuth(app) # 邮件 mail = Mail(app) # GitHub oauth_github = oauth.remote_app( 'github', **app.config['GITHUB_OAUTH'] ) # QQ oauth_qq = oauth.remote_app( 'qq', **app.config['QQ_OAUTH'] ) # WeiBo oauth_weibo = oauth.remote_app( 'weibo', **app.config['WEIBO_OAUTH'] ) # Google # 要银子，妹的 # 配置日志 dictConfig(app.config['LOG_CONFIG']) # 这个 import 语句放在这里, 防止views, models import发生循环import from app_backend import views from app_backend.views.permissions import bp_permissions from app_backend.views.captcha import bp_captcha from app_backend.views.customer import bp_customer from app_backend.views.customer_contact import bp_customer_contact from app_backend.views.customer_invoice import bp_customer_invoice from app_backend.views.supplier import bp_supplier from app_backend.views.supplier_contact import bp_supplier_contact from app_backend.views.supplier_invoice import bp_supplier_invoice from app_backend.views.user import bp_user from app_backend.views.user_auth import bp_auth from app_backend.views.production import bp_production from app_backend.views.production_sensitive import bp_production_sensitive from app_backend.views.quotation import bp_quotation from app_backend.views.quotation_items import bp_quotation_items from app_backend.views.enquiry import bp_enquiry from app_backend.views.enquiry_items import bp_enquiry_items from app_backend.views.buyer_order import bp_buyer_order from app_backend.views.purchase import bp_purchase from app_backend.views.sales_order import bp_sales_order from app_backend.views.delivery import bp_delivery from app_backend.views.warehouse import bp_warehouse from app_backend.views.rack import bp_rack from app_backend.views.inventory import bp_inventory from app_backend.views.futures import bp_futures from app_backend.views.purchase import bp_purchase from app_backend.views.delivery import bp_delivery from app_backend.views.system import bp_system # from app_backend.views.socket_io import bp_socket_io from app_backend.views.price import bp_price from app_backend.views.bank import bp_bank from app_backend.views.cash import bp_cash from app_backend.views.bank_account import bp_bank_account # 注册蓝图 app.register_blueprint(bp_permissions) app.register_blueprint(bp_captcha) app.register_blueprint(bp_customer) app.register_blueprint(bp_customer_contact) app.register_blueprint(bp_customer_invoice) app.register_blueprint(bp_supplier) app.register_blueprint(bp_supplier_contact) app.register_blueprint(bp_supplier_invoice) app.register_blueprint(bp_user) app.register_blueprint(bp_auth) app.register_blueprint(bp_production) app.register_blueprint(bp_production_sensitive) app.register_blueprint(bp_quotation) app.register_blueprint(bp_quotation_items) app.register_blueprint(bp_enquiry) app.register_blueprint(bp_enquiry_items) app.register_blueprint(bp_buyer_order) app.register_blueprint(bp_purchase) app.register_blueprint(bp_sales_order) app.register_blueprint(bp_delivery) app.register_blueprint(bp_warehouse) app.register_blueprint(bp_rack) app.register_blueprint(bp_inventory) app.register_blueprint(bp_futures) app.register_blueprint(bp_purchase) app.register_blueprint(bp_delivery) app.register_blueprint(bp_system) # app.register_blueprint(bp_socket_io) app.register_blueprint(bp_price) app.register_blueprint(bp_bank) app.register_blueprint(bp_cash) app.register_blueprint(bp_bank_account) # 导入自定义过滤器 from app_backend import filters

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0.113821

0.141231

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0.267241

0

null

0

null

0

1

0

1

f24b88cb32a898b91b261cd705b2ad3fcd5d1287

2,950

py

Python

extension/visualizer/generate_visualizer_header.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

2,816

2018-06-26T18:52:52.000Z

2021-04-06T10:39:15.000Z

extension/visualizer/generate_visualizer_header.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

1,310

2021-04-06T16:04:52.000Z

2022-03-31T13:52:53.000Z

extension/visualizer/generate_visualizer_header.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

270

2021-04-09T06:18:28.000Z

2022-03-31T11:55:37.000Z

# this script generates visualizer header import os visualizer_dir = 'extension/visualizer' visualizer_css = os.path.join(visualizer_dir, 'visualizer.css') visualizer_d3 = os.path.join(visualizer_dir, 'd3.js') visualizer_script = os.path.join(visualizer_dir, 'script.js') visualizer_header = os.path.join(visualizer_dir, 'include', 'visualizer_constants.hpp') def open_utf8(fpath, flags): import sys if sys.version_info[0] < 3: return open(fpath, flags) else: return open(fpath, flags, encoding="utf8") def get_byte_array(fpath, add_null_terminator = True): with open(fpath, 'rb') as f: text = bytearray(f.read()) result_text = "" first = True for byte in text: if first: result_text += str(byte) else: result_text += ", " + str(byte) first = False if add_null_terminator: result_text += ", 0" return result_text def write_file(fname, varname): result = "const uint8_t %s[] = {" % (varname,) + get_byte_array(fname) + "};\n" return result def create_visualizer_header(): result = """/* THIS FILE WAS AUTOMATICALLY GENERATED BY generate_visualizer_header.py */ /* Copyright 2010-2020 Mike Bostock All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the author nor the names of contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #pragma once """ result += write_file(visualizer_css, "css") result += write_file(visualizer_d3, "d3") result += write_file(visualizer_script, "script") with open_utf8(visualizer_header, 'w+') as f: f.write(result) create_visualizer_header()

36.419753

92

0.737627

410

2,950

5.207317

0.453659

0.044965

0.018735

0.037471

0.129274

0.0637

0

0.007913

0.186102

2,950

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36.419753

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0.15873

0

null

0

1

0

null

0

1

f251f3a1ac391e245be08c921c85c8b349b00732

1,924

py

Python

fineDinner.py

SMartQi/whose-treat

85f1d27dfb2b728a33cf8b6fcd73213ca24edb0b

[ "MIT" ]

1

2020-01-30T11:09:31.000Z

fineDinner.py

SMartQi/whose-treat

85f1d27dfb2b728a33cf8b6fcd73213ca24edb0b

[ "MIT" ]

null

fineDinner.py

SMartQi/whose-treat

85f1d27dfb2b728a33cf8b6fcd73213ca24edb0b

[ "MIT" ]

null

#!/usr/bin/env python #-*- encoding:UTF-8 -*- """ Background: JJ and MM want to have a fine dinner, celebrating their annual bonuses. They make this rule: This dinner is on the person who gets more annual bonus. And the cost of the dinner is the diff of money they make mod 300, per capita. Requirement: Decide the money amount and the money provider, without letting one know how much the other's annual bonus is. Method: Hide the input. Use the method "Best two out of three" in case of any typo, since the input strings are hidden. """ import getpass def cal(): """ Decide the money amount and the money provider. """ incomejj = validInput("JJ: ") incomemm = validInput("MM: ") diff = incomejj - incomemm onWhom = "JJ" if diff < 0: onWhom = "MM" result = int(round(abs(diff) % 300)) return result, onWhom def validInput(prompt): """ Get a valid input and convert it to a float number. """ while 1: inputStr = getpass.getpass(prompt) try: inputFloat = float(inputStr) return inputFloat except ValueError: print("Invalid input. Try again.") pass if __name__ == "__main__": """ Use the method "Best two out of three" in case of any typo, since the input strings are hidden. """ (result1, onWhom1) = cal() print("Let's double check.") (result2, onWhom2) = cal() if result1 == result2 and onWhom1 == onWhom2: if result1 == 0: print("No dinner at all. But go to buy some lottery~") else : print("OK. Let's have dinner. " + str(result1) + " yuan per person on " + onWhom1 + ".") else : print("Something's wrong. Let's triple check.") (result3, onWhom3) = cal() if (result1 == result3 and onWhom1 == onWhom3) or (result2 == result3 and onWhom2 == onWhom3): if result3 == 0: print("No dinner at all. But go to buy some lottery~") else : print("OK. " + str(result3) + " it is. It's on " + onWhom3 + ".") else: print("Are you kidding me? I quit!")

29.6

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0.670478

292

1,924

4.390411

0.458904

0.024961

0.021841

0.031201

0.25429

0.193448

0

0.022981

0.20842

1,924

64

136

30.0625

0.818779

0.327963

0

0.157895

0

0.244617

0

1

0.052632

false

0.078947

0.026316

0

0.131579

0.210526

0

null

0

null

0

1

0

1

f263dc6e6df0ca9888bd8e9bcfdb5d8ed564b445

507

py

Python

yaga_ga/evolutionary_algorithm/operators/base.py

alessandrolenzi/yaga

872503ad04a2831135143750bc309188e5685284

[ "MIT" ]

null

yaga_ga/evolutionary_algorithm/operators/base.py

alessandrolenzi/yaga

872503ad04a2831135143750bc309188e5685284

[ "MIT" ]

null

yaga_ga/evolutionary_algorithm/operators/base.py

alessandrolenzi/yaga

872503ad04a2831135143750bc309188e5685284

[ "MIT" ]

null

from typing import Generic, TypeVar from typing_extensions import Final from yaga_ga.evolutionary_algorithm.individuals import IndividualStructure class InvalidOperatorError(ValueError): pass IndividualType = TypeVar("IndividualType") GeneType = TypeVar("GeneType") class GeneticOperator(Generic[IndividualType, GeneType]): def __init__( self, individual_structure: IndividualStructure[IndividualType, GeneType] ): self.individual_structure: Final = individual_structure

24.142857

81

0.792899

47

507

8.340426

0.531915

0.168367

0.117347

0

0.142012

507

20

82

25.35

0.901149

0

0.043393

0

1

0.083333

false

0.083333

0.25

0

0.5

0

null

0

null

0

1

0

1

f26a5c6b870f2f9eb67aa2735878c21021be7143

324

py

Python

leetcode/easy/plus-one.py

vtemian/interviews-prep

ddef96b5ecc699a590376a892a804c143fe18034

[ "Apache-2.0" ]

8

2019-05-14T12:50:29.000Z

2022-03-01T09:08:27.000Z

leetcode/easy/plus-one.py

vtemian/interviews-prep

ddef96b5ecc699a590376a892a804c143fe18034

[ "Apache-2.0" ]

46

2019-03-24T20:59:29.000Z

2019-04-09T16:28:43.000Z

leetcode/easy/plus-one.py

vtemian/interviews-prep

ddef96b5ecc699a590376a892a804c143fe18034

[ "Apache-2.0" ]

1

2022-01-28T12:46:29.000Z

class Solution: def plusOne(self, digits: List[int]) -> List[int]: carry = 1 result = [] for digit in digits[::-1]: digit += carry result.append(digit % 10) carry = digit // 10 if carry: result.append(carry) return result[::-1]

20.25

54

0.475309

35

324

4.4

0.514286

0.090909

0.220779

0

0.036082

0.401235

324

15

55

21.6

0.757732

0

1

0.090909

false

0

0.272727

0

null

0

1

0

null

0

1

f26cee0b9842c7bd2fa3f00e76d7e1a08850c951

450

py

Python

coloredterm/__init__.py

hostedposted/coloredterm

72d07a0bd12eb797e4b2772dfe45aca5234d27b6

[ "MIT" ]

1

2021-02-12T01:21:44.000Z

coloredterm/__init__.py

hostedposted/coloredterm

72d07a0bd12eb797e4b2772dfe45aca5234d27b6

[ "MIT" ]

4

2021-07-07T04:09:58.000Z

2022-02-03T04:05:30.000Z

coloredterm/__init__.py

hostedposted/coloredterm

72d07a0bd12eb797e4b2772dfe45aca5234d27b6

[ "MIT" ]

1

2021-02-20T22:58:31.000Z

"""Collection of tools for changing the text of your terminal.""" from coloredterm.coloredterm import ( Back, bg, colored, colors, cprint, fg, Fore, names, pattern_input, pattern_print, rand, Style ) __version__ = "0.1.9" __all__ = [ 'Back', 'bg', 'colored', 'colors', 'cprint', 'fg', 'Fore', 'names', 'pattern_input', 'pattern_print', 'rand', 'Style' ]

14.516129

65

0.542222

47

450

4.93617

0.638298

0.051724

0.112069

0.163793

0.594828

0

0.00974

0.315556

450

31

66

14.516129

0.743506

0.131111

0

0.196891

0

1

0

false

0

0.034483

0

0.034483

0.137931

0

null

0

1

0

null

0

1

f26e13939dbd7efae31817537aae9cd55a260550

1,706

py

Python

src/export_as_csv.py

mustilica/tt-history

1bb60cb81e97ef1abecf657cfa078798bb29cace

[ "MIT" ]

26

2015-02-12T20:33:01.000Z

2018-04-25T05:29:52.000Z

src/export_as_csv.py

mustilica/tt-history

1bb60cb81e97ef1abecf657cfa078798bb29cace

[ "MIT" ]

3

2019-11-27T18:19:23.000Z

2020-11-26T08:53:13.000Z

src/export_as_csv.py

mustilica/tt-history

1bb60cb81e97ef1abecf657cfa078798bb29cace

[ "MIT" ]

8

2015-01-11T00:12:40.000Z

2018-04-01T22:34:45.000Z

# Run from GAE remote API: # {GAE Path}\remote_api_shell.py -s {YourAPPName}.appspot.com # import export_as_csv import csv from google.appengine.ext import db from google.appengine.ext.db import GqlQuery def exportToCsv(query, csvFileName, delimiter): with open(csvFileName, 'wb') as csvFile: csvWriter = csv.writer(csvFile, delimiter=delimiter, quotechar='|', quoting=csv.QUOTE_MINIMAL) writeHeader(csvWriter) rowsPerQuery = 1000 totalRowsSaved = 0 cursor = None areMoreRows = True while areMoreRows: if cursor is not None: query.with_cursor(cursor) items = query.fetch(rowsPerQuery) cursor = query.cursor() currentRows = 0 for item in items: saveItem(csvWriter, item) currentRows += 1 totalRowsSaved += currentRows areMoreRows = currentRows >= rowsPerQuery print 'Saved ' + str(totalRowsSaved) + ' rows' print 'Finished saving all rows.' def writeHeader(csvWriter): # Output csv header csvWriter.writerow(['hashtag', 'region', 'timestamp', 'duration (in minutes)']) def saveItem(csvWriter, item): # Save items in preferred format csvWriter.writerow([item.name, item.woeid, item.timestamp, item.time]) class Trend(db.Model): name = db.StringProperty() woeid = db.IntegerProperty() timestamp = db.IntegerProperty() time = db.IntegerProperty() # Query for items query = GqlQuery("SELECT * FROM Trend WHERE name = '#JeSuisCharlie'") exportToCsv(query, '/home/mustilica/remote.csv', ',')

28.433333

74

0.622509

176

1,706

6

0.5

0.048295

0.035985

0.041667

0

0.005691

0.279015

1,706

59

75

28.915254

0.852846

0.100821

0

0.103471

0.017027

0

null

0

0.081081

null

0.054054

0

null

0

null

0

1

0

1

f27341117d08bd618bf3ac5014feb6d7ff7d069e

801

py

Python

kafka_client_decorators/util/logging_helper.py

cdsedson/kafka-decorator

f2c958df88c5698148aae4c5314dd39e31e995c3

[ "MIT" ]

null

kafka_client_decorators/util/logging_helper.py

cdsedson/kafka-decorator

f2c958df88c5698148aae4c5314dd39e31e995c3

[ "MIT" ]

null

kafka_client_decorators/util/logging_helper.py

cdsedson/kafka-decorator

f2c958df88c5698148aae4c5314dd39e31e995c3

[ "MIT" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- """Define function used on logging.""" import logging __KAFKA_DECORATOR_DEBUG__ = None def set_debug_level(level): """Set the level of log. Set logging level for all loggers create by get_logger function Parameters ---------- level: log level define in logging module """ global __KAFKA_DECORATOR_DEBUG__ __KAFKA_DECORATOR_DEBUG__ = level def get_logger(name): """Create and return a logger. Parameters ---------- name: str Logger name Returns ------- logging.Logger A standard python logger """ logger = logging.getLogger(name) if __KAFKA_DECORATOR_DEBUG__ is not None: logger.setLevel(__KAFKA_DECORATOR_DEBUG__) return logger

19.536585

67

0.636704

93

801

5.11828

0.494624

0.147059

0.19958

0

0.003384

0.262172

801

40

68

20.025

0.80203

0.475655

0

1

0.2

false

0

0.1

0

0.4

0

null

0

1

0

null

0

1

f27e08d8b8e21a50f9f19aef584ea000ba47242e

6,070

py

Python

app/loader.py

DFilyushin/librusec

fd6d7a99037aac4c1112f648397830284f4165f9

[ "Apache-2.0" ]

2

2017-12-14T11:50:16.000Z

2021-12-27T13:42:16.000Z

app/loader.py

DFilyushin/librusec

fd6d7a99037aac4c1112f648397830284f4165f9

[ "Apache-2.0" ]

null

app/loader.py

DFilyushin/librusec

fd6d7a99037aac4c1112f648397830284f4165f9

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import datetime import time import MySQLdb as mdb LIB_INDEXES = 'D:\\TEMP\\librusec' MYSQL_HOST = '127.0.0.1' MYSQL_BASE = 'books100' MYSQL_LOGIN = 'root' MYSQL_PASSW = 'qwerty' SQL_CHECK_BASE = "SELECT SCHEMA_NAME FROM INFORMATION_SCHEMA.SCHEMATA WHERE SCHEMA_NAME = '%s'" SQL_CREATE_BASE = "CREATE DATABASE `%s` DEFAULT CHARACTER SET utf8 COLLATE utf8_unicode_ci;" SQL_USE_BASE = 'USE `%s`;' class BookDatabase(object): """ Database class for store books """ SQL_NEW_BOOK = u"INSERT INTO books VALUES ({0}, '{1}', {2}, '{3}', '{4}', '{5}')" SQL_CHECK_AUTHOR = u"select id from authors where last_name='{0}' and first_name = '{1}' and middle_name='{2}'" SQL_NEW_AUTHOR = u"INSERT INTO authors (last_name, first_name, middle_name) VALUES ('{0}', '{1}', '{2}')" SQL_NEW_LINK = u"INSERT INTO link_ab VALUES ({0}, {1})" def __init__(self): self._conn = mdb.connect(MYSQL_HOST, MYSQL_LOGIN, MYSQL_PASSW, MYSQL_BASE, charset='utf8') self._cur = self._conn.cursor() def get_last_row_id(self): return self._cur.lastrowid def exec_sql(self, sql): return self._cur.execute(sql) def get_row_count(self): return self._cur.rowcount def get_value(self, index): data = self._cur.fetchone() return data[index] def store_author(self, last_name, first_name, middle_name): """ Store new author with check existing record :param last_name: last name author :param first_name: first name author :param middle_name: middle name author :return: Id new record """ sql = self.SQL_CHECK_AUTHOR.format(last_name, first_name, middle_name) self.exec_sql(sql) if self.get_row_count() == 0: sql = self.SQL_NEW_AUTHOR.format(last_name, first_name, middle_name) self.exec_sql(sql) id_author = self.get_last_row_id() else: id_author = self.get_value(0) return id_author def store_book(self, id_book, name, book_size, book_type, lang, genre): """ Store new book :param id_book: Id book :param name: Name of book :param book_size: Size book in bytes :param book_type: Type book :param lang: Language book :param genre: Genres :return: Id new record """ book_name = name.replace("'", '`') sql = self.SQL_NEW_BOOK.format(id_book, book_name, book_size, book_type, lang, genre) self.exec_sql(sql) return id_book def store_author_in_book(self, id_book, id_author): """ Store links for book+author :param id_book: Id book :param id_author: Id author :return: nothing """ sql = self.SQL_NEW_LINK.format(id_book, id_author) self.exec_sql(sql) def create_schema(filename): """ Create database schema from sql-file :param filename: Input schema sql-file for MySql :return: """ start = time.time() f = open(filename, 'r') sql = " ".join(f.readlines()) print "Start executing: " + filename + " at " + str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M")) + "\n" + sql conn = mdb.connect(MYSQL_HOST, MYSQL_LOGIN, MYSQL_PASSW) cur = conn.cursor() sql_check = SQL_CHECK_BASE % MYSQL_BASE cur.execute(sql_check) if cur.rowcount == 0: cur.execute(SQL_CREATE_BASE % MYSQL_BASE) cur.execute(SQL_USE_BASE % MYSQL_BASE) cur.execute(sql) else: print "Database exist. Stop!" end = time.time() print "Time elapsed to run the query:" print str((end - start)*1000) + ' ms' def process_file(inp_file, book_db): with open(inp_file) as f: row_counter = 0 for line in f: row_counter += 1 line = line.decode('utf-8').strip() book_item = line.split(chr(4)) bid = book_item[7] bname = book_item[2] bsize = book_item[6] btype = book_item[9] blang = book_item[11] bgenre = book_item[1] try: id_book = book_db.store_book(int(bid), bname, int(bsize), btype, blang, bgenre) except IndexError: print 'Index error in %s file (%d line)' % (inp_file, row_counter) except Exception as e: print 'Error message: %s (%s)' % (e.args, e.message) author_line = line.split(chr(4))[0] author_line = author_line.replace("'", '`') authors = author_line.split(':') for author in authors: item = author.split(',') if len(item) > 1: try: id_author = book_db.store_author(item[0], item[1], item[2]) except Exception as e: print 'Error message author: %s (%s). Error in %s file (%d line)' % (e.args, e.message, inp_file, row_counter) try: book_db.store_author_in_book(id_book, id_author) except Exception as e: print 'Error message link: %s (%s). Error in %s file (%d line)' % (e.args, e.message, inp_file, row_counter) def process_index_files(path_to_index): """ Processing all files in path LIB_INDEXES :param path_to_index: path to LIB_ARCHIVE :return: """ book_db = BookDatabase() index = 0 indexes = filter(lambda x: x.endswith('.inp'), os.listdir(path_to_index)) cnt_files = len(indexes) os.chdir(path_to_index) for index_file in indexes: index += 1 print 'Process file %s. File %d from %d' % (index_file, index, cnt_files) start_time = time.time() process_file(index_file, book_db) elapsed = (time.time() - start_time) print "Ok. Processing in {:10.4f} s.".format(elapsed) def main(): create_schema('schema.sql') process_index_files(LIB_INDEXES) if __name__ == "__main__": main()

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134

0.594728

830

6,070

4.116867

0.222892

0.019315

0.019023

0.019901

0.191396

0.134914

0.104185

0.08487

0.059701

0

0.01293

0.286491

6,070

181

135

33.535912

0.776033

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0.103448

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0.008621

0.162982

0.005283

0

null

0.025862

0.034483

null

0.086207

0

null

0

null

0

1

0

1

f27f8a655e82f556df2399b3f99f4848f377c47b

375

py

Python

app/models/word.py

shiniao/soul-api

1438281c2dce237d735f7309c2ddb606c8d01e1e

[ "Apache-2.0" ]

1

2021-02-27T09:05:40.000Z

app/models/word.py

shiniao/soulapi

1438281c2dce237d735f7309c2ddb606c8d01e1e

[ "Apache-2.0" ]

null

app/models/word.py

shiniao/soulapi

1438281c2dce237d735f7309c2ddb606c8d01e1e

[ "Apache-2.0" ]

null

from sqlalchemy import Column, Integer, String from app.database import Base class Word(Base): id = Column(Integer, primary_key=True, index=True, autoincrement=True) origin = Column(String, index=True, unique=True, nullable=False) pronunciation = Column(String) translation = Column(String) created_at = Column(String) updated_at = Column(String)

26.785714

74

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47

375

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0.553191

0.220588

0.102941

0

0.170667

375

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75

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0.874598

0

1

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false

0

0.222222

0

1

0

null

1

0

null

0

1

f280236c60f310af1d18ad0b782faeb404b108be

912

py

Python

anomaly/Read_img.py

Jun-CEN/Open-World-Semantic-Segmentation

a95bac374e573055c23220e299789f34292988bc

[ "MIT" ]

19

2021-08-09T15:34:10.000Z

2022-03-14T09:20:58.000Z

anomaly/Read_img.py

Jun-CEN/Open-World-Semantic-Segmentation

a95bac374e573055c23220e299789f34292988bc

[ "MIT" ]

4

2021-11-08T07:10:35.000Z

2022-01-16T01:53:06.000Z

anomaly/Read_img.py

Jun-CEN/Open-World-Semantic-Segmentation

a95bac374e573055c23220e299789f34292988bc

[ "MIT" ]

4

2021-10-06T09:28:16.000Z

2022-01-14T08:26:54.000Z

from PIL import Image import matplotlib.pyplot as plt import numpy as np import bdlb import torch import json # path_img = './data/test_result/t5/' # path_img = './results_18_ce_noshuffle/2_' # # image = Image.open(path_img + '100.png') # plt.imshow(image) # plt.show() # # overlay = Image.open(path_img + 'overlay.png') # plt.imshow(overlay) # plt.show() # # pred = Image.open(path_img + 'pred.png') # plt.imshow(pred) # plt.show() # # target = Image.open(path_img + 'target.png') # plt.imshow(target) # plt.show() # # scores = Image.open(path_img + 'scores.png') # scores = np.array(scores) / 255 # plt.imshow(scores) # plt.show() # # dis_sum = np.load(path_img + 'dis_sum.npy') # plt.imshow(dis_sum) # plt.show() with open('logit_dict.json','r',encoding='utf8')as fp: json_data = json.load(fp) for i in range(13): print(len(json_data[i])) plt.figure() plt.hist(json_data[i]) plt.show()

20.727273

54

0.667763

146

912

4.034247

0.376712

0.095076

0.110357

0.135823

0

0.016731

0.148026

912

43

55

21.209302

0.741313

0.604167

0

0.06006

0

1

0

false

0

0.461538

0

0.461538

0.076923

0

null

0

null

0

1

0

1

f2854a477097d46506783a017f1b2352a0421334

570

py

Python

school/migrations/0018_listemplois.py

Belaid-RWW/PFAEspaceParent

8fd0000d4ee1427599bcb7da5aa301050469e7a8

[ "MIT" ]

null

school/migrations/0018_listemplois.py

Belaid-RWW/PFAEspaceParent

8fd0000d4ee1427599bcb7da5aa301050469e7a8

[ "MIT" ]

null

school/migrations/0018_listemplois.py

Belaid-RWW/PFAEspaceParent

8fd0000d4ee1427599bcb7da5aa301050469e7a8

[ "MIT" ]

null

# Generated by Django 3.1.7 on 2021-05-07 03:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('school', '0017_emplois_emp'), ] operations = [ migrations.CreateModel( name='ListEmplois', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Classe', models.CharField(max_length=100)), ('pdf', models.FileField(upload_to='')), ], ), ]

25.909091

114

0.568421

58

570

5.465517

0.827586

0

0.054726

0.294737

570

21

115

27.142857

0.733831

0.078947

0

1

0

0.087954

0

1

0

false

0

0.066667

0

0.266667

0

null

0

1

0

null

0

1

f28637ac36ec4e4cf9bd05dd4661f26ee82946dd

900

py

Python

ejercicios_resueltos/t04/t04ejer03.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

ejercicios_resueltos/t04/t04ejer03.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

ejercicios_resueltos/t04/t04ejer03.py

workready/pythonbasic

59bd82caf99244f5e711124e1f6f4dec8de22141

[ "MIT" ]

null

import os def gcat(filenames): for filename in filenames: with open(filename) as f: for line in f: yield line def ggrep(pattern, filenames): for filename in filenames: with open(filename) as f: for line in f: if pattern in line: yield line # Codigo de pruebas para gcat print("Fichero linea a linea") print("-----------------------------") for line in gcat([os.path.join(os.path.dirname(os.path.realpath(__file__)), 'quijote.txt')]): print(line) print("-----------------------------") print() print() # Codigo de pruebas para ggrep print("Lineas del fichero que contienen la palabra 'los'") print("-----------------------------") for l in list(ggrep("los", [os.path.join(os.path.dirname(os.path.realpath(__file__)), 'quijote.txt')])): print(l) print("-----------------------------")

25

104

0.537778

111

900

4.288288

0.369369

0.07563

0.056723

0.092437

0.487395

0

0.221111

900

35

105

25.714286

0.67903

0.062222

0

0.583333

0

0.25119

0.138095

0

1

0.083333

false

0

0.041667

0

0.125

0.416667

0

null

0

null

0

1

0

1

f2864bce946124a8b9383d4c53008de00cff4e49

2,460

py

Python

swot_item_vote/views.py

imranariffin/liveswot-api

a2acc05fd2c51adc30e8e1785b857a94af81677d

[ "MIT" ]

null

swot_item_vote/views.py

imranariffin/liveswot-api

a2acc05fd2c51adc30e8e1785b857a94af81677d

[ "MIT" ]

25

2018-03-25T05:25:22.000Z

2021-06-10T19:51:12.000Z

swot_item_vote/views.py

imranariffin/liveswot-api

a2acc05fd2c51adc30e8e1785b857a94af81677d

[ "MIT" ]

2

2018-07-02T02:59:24.000Z

2018-08-21T02:58:21.000Z

from django.core.exceptions import ObjectDoesNotExist from django.db import IntegrityError from rest_framework.decorators import api_view from rest_framework import status from swot_item_vote.models import Vote from swot_item.models import SwotItem from .serializers import serialize, get_item_confidence from swot.models import Swot from core.decorators import authenticate from core.serializers import deserialize @api_view(['GET']) @authenticate @deserialize @serialize def vote_list(request, swot_id): try: Swot.objects.get(id=swot_id) except ObjectDoesNotExist: return ( None, status.HTTP_404_NOT_FOUND, ['Swot {} does not exist'.format(swot_id)] ) votes = Vote.objects.filter(swot_id=swot_id) return ( [vote for vote in votes], status.HTTP_200_OK, None, ) @api_view(['POST']) @authenticate @deserialize @serialize def vote(request, swot_item_id): swot_item_id = int(swot_item_id) vote_type = request.body['voteType'] user_id = request.user.id swot_item = None try: swot_item = SwotItem.objects.get(id=swot_item_id) except ObjectDoesNotExist: return ( None, status.HTTP_404_NOT_FOUND, ['Swot Item does {} not exist'.format(swot_item_id)] ) try: existing_vote = Vote.objects.get( swot_item_id=swot_item_id, created_by_id=user_id ) existing_vote_type = existing_vote.voteType existing_vote.delete() if existing_vote_type == vote_type: return ( None, status.HTTP_200_OK, None ) except ObjectDoesNotExist: pass vote = None try: vote = Vote( created_by_id=user_id, swot_item_id=swot_item_id, swot_id=swot_item.swot_id, voteType=vote_type ) except IntegrityError, ie: return ( None, status.HTTP_400_BAD_REQUEST, [ie] ) try: vote.save() except: return ( None, status.HTTP_400_BAD_REQUEST, ['Error saving vote'] ) SwotItem.objects\ .filter(pk=swot_item_id)\ .update(score=get_item_confidence(swot_item_id)) return ( vote, status.HTTP_201_CREATED, None, )

21.964286

64

0.605285

286

2,460

4.926573

0.241259

0.096522

0.07807

0.070972

0.316537

0.176011

0.133428

0.086586

0

0.01253

0.318699

2,460

111

65

22.162162

0.828162

0

0.395604

0

0.032927

0

null

0.010989

0.10989

null

0

null

0

null

0

1

0

1

f2895989ed18fa1ea8643af23dca6836bad3cec9

30,553

py

Python

car2dc-kiran/Scripts/StartTraffic.py

kirannCS/MasterThesis

a12771dc40efe77ae7d6e1631ed66c4b9992afd8

[ "Unlicense" ]

null

car2dc-kiran/Scripts/StartTraffic.py

kirannCS/MasterThesis

a12771dc40efe77ae7d6e1631ed66c4b9992afd8

[ "Unlicense" ]

null

car2dc-kiran/Scripts/StartTraffic.py

kirannCS/MasterThesis

a12771dc40efe77ae7d6e1631ed66c4b9992afd8

[ "Unlicense" ]

null

#!/usr/bin/env python3 ################################################################################# ################# Helper Module ################################################# ################# Provides abstraction to car sensors and PHY layer ############# ################################################################################# from __future__ import absolute_import from __future__ import print_function import os import sys sys.path.append('../src/packets/header/') # Import proto modules import CARRequestToMT_pb2 import MTGPSResponse_pb2 import MTSpeedResponse_pb2 import MsgFromNodeToUDM_pb2 import MessageForwardFromUDM_pb2 import BigData_pb2 import DistributeProcesses_pb2 # Import other libraries import optparse import subprocess import random import time import zmq import thread import json import xml.etree.ElementTree as ET import netifaces as ni import math import sys import linecache import datetime import threading import base64 from threading import Lock, Thread import time from xmlr import xmliter # Uncomment when required debugging # debugger proc """def traceit(frame, event, arg): if event == "line": lineno = frame.f_lineno filename = frame.f_globals["__file__"] if (filename.endswith(".pyc") or filename.endswith(".pyo")): filename = filename[:-1] name = frame.f_globals["__name__"] line = linecache.getline(filename, lineno) print(name, lineno, line.rstrip()) return traceit""" # Global Vaiables ParserIP = "" ParserPort = "" UDMPort = "" Keys = [] SumoFloatingDataPath = "" VehInfoHashMap = {} APInfoHashMap = {} StartPort = 12000 Incrementor = 0 AllAddrTable = {} CommRange = 0.0 LogInfoEnable = "" LogInfoFile = "" LogInfoStdOutput = "" LogDebugEnable = "" LogDebugFile = "" LogDebugStdOutput = "" LogStatsEnable = "" LogStatsFILE = "" LogStatsStdOutput = "" LogErrorEnable = "" LogErrorFILE = "" LogErrorStdOutput = "" LogFilePath = "" ExperimentNumber = "" RunInForeGround = "" RunInForeGroundList = "" LogFile = "" UDMPublisher = "NULL" UDMExitPublisher = "NULL" SystemsIP = [] SystemsIPSubscript = 0 DistributedSystemsPublisher = "" NOTFinished = True lock = Lock() # Converts string into list which has literals separated by commas and returns it def ConvertStringToList(string): li = list(string.split(" ")) return li # Starts a car process in different terminal, takes vid(Vehicle ID) and starting port number helps car to spawn in-car processes # incrementor determines the number of ports could be reserved for each car def start_carProc(vid): global StartPort, Incrementor, RunInForeGround, RunInForeGroundList, SystemsIPSubscript, SystemsIP, DistributedSystemsPublisher Message = DistributeProcesses_pb2.PROCESS_DISTRIBUTION() # Create message if RunInForeGround == "TRUE" or vid in RunInForeGroundList: Message.RUN_IN_FOREGROUND = True else: Message.RUN_IN_FOREGROUND = False Message.ID = vid Message.START_PORT_NO = str(StartPort + Incrementor) Message.MODULE_TYPE = "CAR" if SystemsIPSubscript % len(SystemsIP) == 0: SystemsIPSubscript += 1 # Send message DistributedSystemsPublisher.send_multipart([SystemsIP[SystemsIPSubscript % len(SystemsIP)], Message.SerializeToString()]) SystemsIPSubscript = SystemsIPSubscript % len(SystemsIP) + 1 Incrementor += 5 LogsDebug("A Car process " + vid + " is started") LogsInfo("A Car process " + vid + " is started") # Sends message to Command Receiver running on remote machine with ID=-1 indicating one experiment run is completed def SendKillSigToTerminals(): Message = DistributeProcesses_pb2.PROCESS_DISTRIBUTION() Message.ID = "-1" for each in SystemsIP: DistributedSystemsPublisher.send_multipart([each, Message.SerializeToString()]) # Server waits for the client(car process) requests - for position and speed def MobilityServer(): global ParserIP, ParserPort, VehInfoHashMap, NOTFinished context = zmq.Context() socket = context.socket(zmq.REP) LogsDebug("Sumo Data Parser Server binds at the address "+ParserIP+":" + ParserPort) socket.bind("tcp://"+ParserIP+":"+ParserPort) Request = CARRequestToMT_pb2.CARREQUESTTOMT() GPSResponse = MTGPSResponse_pb2.MTGPSRESPONSE() SpeedResponse = MTSpeedResponse_pb2.MTSPEEDRESPONSE() while NOTFinished: # Wait for next request from client vehInfoReq = socket.recv() Request.ParseFromString(vehInfoReq) # parse the request VehID = Request.VID ReqType = Request.REQ # Check what is the request type (for position or speed) accordingly build the json reply if ReqType == "POS": LogsDebug("A request for Position is arrived for Vehicle ID " + VehID) if VehID in VehInfoHashMap: LogsDebug("Vehicle ID " + VehID + " exists and a response with updated Position data will be sent") GPSResponse.INFO_EXISTS = 1 GPSResponse.X = float(json.loads(VehInfoHashMap[VehID])["X"]) GPSResponse.Y = float(json.loads(VehInfoHashMap[VehID])["Y"]) GPSResponse.DIR = float(json.loads(VehInfoHashMap[VehID])["DIR"]) GPSResponse.LANE = json.loads(VehInfoHashMap[VehID])["LANE"] else: LogsDebug("Vehicle ID " + VehID + " do not exist in the network and response is sent") GPSResponse.INFO_EXISTS = 0 DataToSend = GPSResponse.SerializeToString() elif ReqType == "SPE": LogsDebug("A request for Speed is arrived for Vehicle ID " + VehID) if VehID in VehInfoHashMap: LogsDebug("Vehicle ID " + VehID + " exists and a response with updated Speed data will be sent") SpeedResponse.INFO_EXISTS = 1 SpeedResponse.SPEED = float(json.loads(VehInfoHashMap[VehID])["SPE"]) else: LogsDebug("Vehicle ID " + VehID + " do not exist in the network") SpeedResponse.INFO_EXISTS = 0 DataToSend = SpeedResponse.SerializeToString() socket.send(DataToSend) # Updates the speed and position information in the hashmap def update_hashmap(vid, x, y, speed, angle, lane): global VehInfoHashMap jsonVehData = { "X" : x, "Y" : y, "SPE" : speed, "DIR" : angle, "LANE" : lane } VehInfoHashMap[vid] = json.dumps(jsonVehData) Message = MsgFromNodeToUDM_pb2.MSGFROMNODETOUDM() # udm module: server awaits the message forward requests from its clients (car or ap) def udm_server(): global ParserIP, UDMPort, Message context = zmq.Context() socket = context.socket(zmq.PULL) LogsDebug("UDM Server binds at the address "+ParserIP+":" + UDMPort) LogsInfo("UDM Server binds at the address "+ParserIP+":" + UDMPort) socket.bind("tcp://"+ParserIP+":"+UDMPort) while True: # Wait for next request from client msgForwardReq = socket.recv() Message.ParseFromString(msgForwardReq) # mtype - message type (INIT or UNICAST or BROADCAST) # Only cars send INIT message - once, when the process get started try: mtype = Message.MTYPE except ValueError: mtype = "" LogsError("This occur very very rarely and yet to investigate on why this error!! ...") if mtype == "INIT": LogsInfo("INIT message recieved from " + Message.SRC_ID) LogsDebug("INIT message recieved from " + Message.SRC_ID) store_ip_port(msgForwardReq) elif mtype == "UNI" or mtype == "BROAD" or mtype == "MUL": forward_msg(msgForwardReq) # Called when udm recieves INIT messages # Stores IP and Port details of the Cars def store_ip_port(msgForwardReq): global AllAddrTable, Message Message.ParseFromString(msgForwardReq) _id = Message.SRC_ID newip = Message.IP newport = Message.PORT _type = Message.SRC_TYPE LogsDebug("From the INIT Message Vehicle " + _id + " IP PORT and TYPE are extracted " + newip + " " + newport + " " + _type + " and are stored") new_data = { 'IP' : newip, 'PORT' : newport, 'TYPE' : _type } AllAddrTable[_id] = json.dumps(new_data) # Based on the MTYPE(message type) calls different message forwarding modules def forward_msg(msgForwardReq): global VehInfoHashMap, APInfoHashMap, Message Message.ParseFromString(msgForwardReq) mtype = Message.MTYPE src_id = Message.SRC_ID # Checks if the source id is either present in updated vehicle hash map or AP hash map # If it exists only then forward the messages (else the vehicles not in the network anymore) if VehInfoHashMap and APInfoHashMap: if src_id in VehInfoHashMap or src_id in APInfoHashMap: if mtype == "UNI": send_unicast_msg(msgForwardReq) elif mtype == "BROAD": send_broadcast_msg(msgForwardReq) elif mtype == "MUL": send_multicast_msg(msgForwardReq) # Forwards unicast messages def send_unicast_msg(msgForwardReq): global APInfoHashMap, VehInfoHashMap, AllAddrTable, Message Message.ParseFromString(msgForwardReq) src_id = Message.SRC_ID dest_id = Message.DEST_ID LogsDebug("UNICAST message is recieved from " + src_id + " to forawrd it to " + dest_id) LogsInfo("UNICAST message is recieved from " + src_id + " to forawrd it to " + dest_id) if src_id in VehInfoHashMap: src_details = json.loads(VehInfoHashMap[src_id]) elif src_id in APInfoHashMap: src_details = json.loads(APInfoHashMap[src_id]) src_X = src_details['X'] src_Y = src_details['Y'] SrcExistsInAddrTable = True try: srcType_json = json.loads(AllAddrTable[src_id]) except KeyError: SrcExistsInAddrTable = False # Checks if destination node is still in the network if (dest_id in VehInfoHashMap or dest_id in APInfoHashMap) and SrcExistsInAddrTable: # Checks if destination address is known to the UDM if dest_id in AllAddrTable: # If the source type is BS donot check for communication range if srcType_json['TYPE'] == "BS": PublishMsg(msgForwardReq, dest_id) LogsDebug("Received UNICAST message is forwarded to " + dest_id) else: Dest_json = json.loads(AllAddrTable[dest_id]) # If dest type is car or RSU check if source and destination are in the communication range # else for BS skips the check and forward the message if Dest_json['TYPE'] == "CAR": car_json = json.loads(VehInfoHashMap[dest_id]) LogsDebug("range check between " + src_id + " -----------> " + dest_id) LogsDebug(src_id+"("+src_X+","+src_Y+") "+dest_id+"("+ car_json["X"]+ ","+ car_json["Y"]+ ")") if within_range(src_X, src_Y, car_json["X"], car_json["Y"]): PublishMsg(msgForwardReq, dest_id) LogsDebug("Received UNICAST message is forwarded to " + dest_id) elif Dest_json['TYPE'] == "RSU": RSU_json = json.loads(APInfoHashMap[dest_id]) LogsDebug("range check between " + src_id + " -----------> " + dest_id) LogsDebug(src_id+"("+src_X+","+src_Y+") "+dest_id+"("+ RSU_json["X"]+ ","+ RSU_json["Y"]+ ")") if within_range(src_X, src_Y, RSU_json["X"], RSU_json["Y"]): PublishMsg(msgForwardReq, dest_id) LogsDebug("Received UNICAST message is forwarded to " + dest_id) elif Dest_json['TYPE'] == "BS": PublishMsg(msgForwardReq, dest_id) LogsDebug("Received UNICAST message is forwarded to " + dest_id) else: LogsError("Unicast message to VID " + dest_id + "failed, since vehicle doesn't exist or Address is still Unknown") def PublishMsg(msgForwardReq, dest_id): global UDMPublisher, Message Message.ParseFromString(msgForwardReq) src_id = Message.SRC_ID dest_json = json.loads(AllAddrTable[dest_id]) src_json = json.loads(AllAddrTable[src_id]) DataToForward = MessageForwardFromUDM_pb2.MESSAGEFROMUDM() DataToForward.SRC_ID = src_id # Copy contents of the incoming message to new message that is forwarded to destination node DataToForward.DATA.DATALINE1 = Message.DATA.DATALINE1 DataToForward.DATA.DATALINE2 = Message.DATA.DATALINE2 DataToForward.DATA.ID = Message.DATA.ID DataToForward.DATA.X = Message.DATA.X DataToForward.DATA.DIR = Message.DATA.DIR DataToForward.DATA.SPEED = Message.DATA.SPEED DataToForward.DATA.DATATYPE = Message.DATA.DATATYPE DataToForward.DATA.TIMESTAMP = Message.DATA.TIMESTAMP DataToForward.DATA.Y = Message.DATA.Y DataToForward.DATA.CH = Message.DATA.CH DataToForward.DATA.CMLIST = Message.DATA.CMLIST DataToForward.DATA.CLUSTERID = Message.DATA.CLUSTERID DataToForward.DATA.CLUSTER_SEQ_NUM = Message.DATA.CLUSTER_SEQ_NUM; DataToForward.DATA.FILENAME = Message.DATA.FILENAME DataToForward.DATA.DATA = Message.DATA.DATA DataToForward.DATA.CHUNKNUM = Message.DATA.CHUNKNUM DataToForward.DATA.LASTPKT = Message.DATA.LASTPKT DataToForward.DATA.START_TIME = Message.DATA.START_TIME DataToForward.DATA.TASKSEQNUM = Message.DATA.TASKSEQNUM DataToForward.DATA.TASKMAXTIME = Message.DATA.TASKMAXTIME DataToForward.DATA.FINISHTIME = Message.DATA.FINISHTIME DataToForward.DATA.RESULT = Message.DATA.RESULT # Adding additional fields DataToForward.SRC_TYPE = src_json['TYPE'] DataToForward.DEST_TYPE = dest_json['TYPE'] DataToForward.EXIT = False DataToSend = DataToForward.SerializeToString() if "DCA" in Message.SUB_DEST_ID: DestID = dest_id + "DCAID" elif "TASK" in Message.SUB_DEST_ID: DestID = dest_id + "TASKDID" elif "DC" in Message.SUB_DEST_ID: DestID = dest_id + "DCID" else: DestID = dest_id + "ID" UDMPublisher.send_multipart([str(DestID), DataToSend]) # Forwards broadcast messages def send_broadcast_msg(msgForwardReq): global APInfoHashMap, VehInfoHashMap, AllAddrTable, Message Message.ParseFromString(msgForwardReq) src_id = Message.SRC_ID LogsDebug("Broadcast message is recieved from " + src_id) LogsInfo("Broadcast message is recieved from "+ src_id) if src_id in VehInfoHashMap: src_details = json.loads(VehInfoHashMap[src_id]) elif src_id in APInfoHashMap: src_details = json.loads(APInfoHashMap[src_id]) src_X = src_details['X'] src_Y = src_details['Y'] SrcExistsInAddrTable = True try: srcType_json = json.loads(AllAddrTable[src_id]) except KeyError: SrcExistsInAddrTable = False # Check all the cars in the address table if they are within the communication range CopyOfAllAddrTable = dict(AllAddrTable) for _id in CopyOfAllAddrTable: # Check if _id is exists in the network and # and the _id should not be the source id (to avoid broadcast back to the source) if (_id in VehInfoHashMap or _id in APInfoHashMap) and _id != src_id and SrcExistsInAddrTable: # If the source type is BS donot check for communication range if srcType_json['TYPE'] == "BS": PublishMsg(msgForwardReq, _id) LogsDebug("Received BROADCAST message is forwarded to" + _id) # If dest type is car or RSU check if source and destination are in the communication range # else if it is a BS skips the check and forward the message else: broad_json = json.loads(CopyOfAllAddrTable[_id]) if broad_json['TYPE'] == 'CAR': car_json = json.loads(VehInfoHashMap[_id]) LogsDebug("range check between "+src_id+" -----------> "+_id) if within_range(src_X, src_Y, car_json["X"], car_json["Y"]): PublishMsg(msgForwardReq, _id) LogsDebug("Received BROADCAST message is forwarded to" + _id) elif broad_json['TYPE'] == "RSU": RSU_json = json.loads(APInfoHashMap[_id]) LogsDebug("range check between "+src_id+" -----------> "+_id) if within_range(src_X, src_Y, RSU_json["X"], RSU_json["Y"]): PublishMsg(msgForwardReq, _id) LogsDebug("Received BROADCAST message is forwarded to" + _id) elif broad_json['TYPE'] == "BS": PublishMsg(msgForwardReq, _id) LogsDebug("Received BROADCAST message is forwarded to" + _id) # Detects if both are in the communication range(Do not consider obstacles) def within_range(x1, y1, x2, y2): global CommRange distance = math.sqrt( (float(x1) - float(x2)) * (float(x1) - float(x2)) + (float(y1) - float(y2)) * (float(y1) - float(y2)) ) LogsDebug("Comparison " + str(distance) +" < " + CommRange + " ??") if float(distance) < float(CommRange): return True else: return False VehiclesExitList = [] import random # When vehicle exists network this method sends exit message to the vehicle def DeleteFromNetwork(each): # Sleeps for random time (because at last timestep all cars exits at once) to avoid race to acquire lock time.sleep(float(random.randint(1,100))/100.0) DataToForward = MessageForwardFromUDM_pb2.MESSAGEFROMUDM() # Indicates vehicles to exit DataToForward.EXIT = True DataToSend = DataToForward.SerializeToString() print(each) lock.acquire() # Send all modules of cars an exit message UDMExitPublisher.send_multipart([str(each) + "DCAEXITID", DataToSend]) UDMExitPublisher.send_multipart([str(each) + "TASKDEXITID", DataToSend]) UDMExitPublisher.send_multipart([str(each) + "EXITID", DataToSend]) UDMExitPublisher.send_multipart([str(each) + "EXITGPSID", DataToSend]) UDMExitPublisher.send_multipart([str(each) + "EXITSPEEDID", DataToSend]) lock.release() # Allows cars to terminate before Helper removes car from the existing list time.sleep(12.0) del VehInfoHashMap[each] # Deletes the car data when the car no longer exists in the network def cleanup_VehInfoHashMap(VIDList): global VehInfoHashMap, Keys, VehiclesExitList, UDMExitPublisher Keys = VehInfoHashMap.keys() for each in Keys: if each not in VIDList and each not in VehiclesExitList: VehiclesExitList.append(each) # Creates a thread for each exited car to send a exit message to vehicle thread.start_new_thread(DeleteFromNetwork,(each,)) # Subscriber always misses the first message. FirstMsg is used to send first message twice FirstMsg = True i = 0 _list = [] _dict = {} # First proc called in the main() def run(): start = 0.0 end = 0.0 FirstTime = 1 WaitPeriod = 0.0 WaitDue = 0.0 # Creates a UDM server thread thread.start_new_thread(udm_server, ()) # Creates server that responds to speed and position requests from the vehicles thread.start_new_thread(MobilityServer, ()) global SumoFloatingDataPath, VehInfoHashMap, APInfoHashMap, NOTFinished car_proc_list = [] # Read AP info from XML file and spawns AP process in appropriate machine update_APInfoHashMap() # iterates through the floating car data timestamps(interval of 0.1 seconds) #for iteration in root.iter('timestep'): for d in xmliter(SumoFloatingDataPath, 'timestep'): if float(d['@time']) % 20.0 == 0: print("Current timestep = " , d['@time']) # VIDList at every timestamp iteration is set to empty. Global parameter stores existing vehicles details VIDList = [] # If at certain timestep there is no vehicle exist, it raises exception try: type(d['vehicle']) except: time.sleep(0.1) continue if type(d['vehicle']) == type(_dict): vid = d['vehicle']['@id'] if vid not in VIDList: # If its a new vehicle add it to the list VIDList.append(vid) if vid not in car_proc_list: # If its a new vehicle spwan car processes car_proc_list.append(vid) start_carProc(vid) update_hashmap(vid, d['vehicle']['@x'], d['vehicle']['@y'], d['vehicle']['@speed'], d['vehicle']['@angle'],d['vehicle']['@lane']) elif type(d['vehicle']) == type(_list): for each in d['vehicle']: vid = each['@id'] if vid not in VIDList: # If its a new vehicle add it to the list VIDList.append(vid) if vid not in car_proc_list: # If its a new vehicle spwan car processes car_proc_list.append(vid) start_carProc(vid) update_hashmap(vid, each['@x'], each['@y'], each['@speed'], each['@angle'],each['@lane']) # After each time stamp remove vehicles from the hashmap which doesnt exist anymore in the network cleanup_VehInfoHashMap(VIDList) #LogsDebug("Currently the following vehicles exist in the network") #for key, value in VehInfoHashMap.iteritems(): #LogsDebug("Vehicle ID " + key) # Print timestep once in 20 seconds if float(d['@time']) % 20.0 == 0: print(0.1 - ((end - WaitPeriod) - start)) end = time.time() # Record End time if FirstTime == 1: end = 0.0 FirstTime = 0 WaitPeriod = 0.1 - ((end - WaitPeriod) - start) - WaitDue # Calculate waitperiod start = time.time() # Calculate Start time try: # If time.sleep is passed a negative argument it raises exception time.sleep(WaitPeriod + 0.03) WaitDue = 0.0 except: print("exception raised",WaitPeriod) # If at certail step Waitperiod becomes negative - it takes the negative time due to next step # If Waitperiod becomes negative at every timestep that starting inducing delay endless WaitDue = -1 * WaitPeriod WaitPeriod = 0.0 time.sleep(WaitPeriod) print("Finished timesteps") VIDList = [] # Send termination message to all existing vehicles cleanup_VehInfoHashMap(VIDList) print("Sent Termination message to all active cars") time.sleep(18.0) Keys = APInfoHashMap.keys() DataToSend = "" # Send termination message to all existin APs for each in Keys: print(each) DataToForward = MessageForwardFromUDM_pb2.MESSAGEFROMUDM() DataToForward.EXIT = True DataToSend = DataToForward.SerializeToString() lock.acquire() UDMPublisher.send_multipart([str(each) + "ID", DataToSend]) UDMPublisher.send_multipart([str(each) + "DCID", DataToSend]) lock.release() # Indicating in-car sensors that timesteps finished NOTFinished = False time.sleep(5.0) print("Sent Termination message to all active APs") LogsInfo("FINISHED") LogsDebug("FINISHED") # sleep allows all the vehicles and APs to write thier stats time.sleep(60) # Send termination messages to remote machine terminal indicating completed one experiment run SendKillSigToTerminals() sys.stdout.flush() # Parse config file to extract details of base stations and rsu's and store them in 'APInfoHashMap' # 'APInfoHashMap' stores id versus (ip, port and type(rsu or bs)) def update_APInfoHashMap(): global APInfoHashMap, RunInForeGround, RunInForeGroundList, DistributedSystemsPublisher, FirstMsg LogsDebug("Parsing config file ../config/ap/config.xml") tree = ET.parse('../config/ap/config.xml') root = tree.getroot() Message = DistributeProcesses_pb2.PROCESS_DISTRIBUTION() for iteration in root.iter('config'): for APDetails in iteration.iter('BS'): BS_data = { 'X' : APDetails.get('x'), 'Y' : APDetails.get('y') } APInfoHashMap[APDetails.get('id')] = json.dumps(BS_data) BS_IP_data = { 'IP' : APDetails.get('ip'), 'PORT' : APDetails.get('port'), 'TYPE' : "BS" } AllAddrTable[APDetails.get('id')] = json.dumps(BS_IP_data) LogsDebug("BASESTATION module " + APDetails.get('id') + " is started in a separate terminal") LogsInfo("BASESTATION module " + APDetails.get('id') + " is started in a separate terminal") if RunInForeGround == "TRUE" or APDetails.get('id') in RunInForeGroundList: Message.RUN_IN_FOREGROUND = True else: Message.RUN_IN_FOREGROUND = False Message.ID = APDetails.get('id') Message.MODULE_TYPE = "BS" if FirstMsg: DistributedSystemsPublisher.send_multipart([SystemsIP[0], Message.SerializeToString()]) FirstMsg = False time.sleep(2) DistributedSystemsPublisher.send_multipart([SystemsIP[0], Message.SerializeToString()]) for APDetails in iteration.iter('RSU'): RSU_data = { 'X' : APDetails.get('x'), 'Y' : APDetails.get('y') } APInfoHashMap[APDetails.get('id')] = json.dumps(RSU_data) RSU_IP_data = { 'IP' : APDetails.get('ip'), 'PORT' : APDetails.get('port'), 'TYPE' : "RSU" } AllAddrTable[APDetails.get('id')] = json.dumps(RSU_IP_data) LogsDebug("ROADSIDE module " + APDetails.get('id') + " is started") LogsInfo("ROADSIDE module " + APDetails.get('id') + " is started") if RunInForeGround == "TRUE" or APDetails.get('id') in RunInForeGroundList: Message.RUN_IN_FOREGROUND = True else: Message.RUN_IN_FOREGROUND = False Message.ID = APDetails.get('id') Message.MODULE_TYPE = "RSU" if FirstMsg: DistributedSystemsPublisher.send_multipart([SystemsIP[0], Message.SerializeToString()]) FirstMsg = False time.sleep(2) DistributedSystemsPublisher.send_multipart([SystemsIP[0], Message.SerializeToString()]) LogsDebug("Parsed details from ../config/ap/config.xml and stored. Details::") for key, value in AllAddrTable.iteritems(): LogsDebug(str(key) + " " + str(json.loads(value))) def updateLoggingUtilConfigParams(): global LogInfoEnable, LogInfoFile, LogInfoStdOutput, LogDebugEnable, LogDebugFile, LogDebugStdOutput, LogStatsEnable, LogStatsFILE, LogStatsStdOutput, LogErrorEnable, LogErrorFILE, LogErrorStdOutput, LogFilePath, ExperimentNumber, LogFile tree = ET.parse('../config/logging_utility/config.xml') root = tree.getroot() for iteration in root.iter('config'): for LogDetails in iteration.iter('Tool'): name = LogDetails.get("name") if name == "LogInfo": LogInfoEnable = LogDetails.get('LogInfoEnable') LogInfoFile = LogDetails.get('LogInfoFile') LogInfoStdOutput = LogDetails.get('LogInfoStdOutput') elif name == "LogDebug": LogDebugEnable = LogDetails.get('LogDebugEnable') LogDebugFile = LogDetails.get('LogDebugFile') LogDebugStdOutput = LogDetails.get('LogDebugStdOutput') elif name == "LogStats": LogStatsEnable = LogDetails.get('LogStatsEnable') LogStatsFILE = LogDetails.get('LogStatsFILE') LogStatsStdOutput = LogDetails.get('LogStatsStdOutput') elif name == "LogError": LogErrorEnable = LogDetails.get('LogErrorEnable') LogErrorFILE = LogDetails.get('LogErrorFILE') LogErrorStdOutput = LogDetails.get('LogErrorStdOutput') elif name == "path": LogFilePath = LogDetails.get('LogFilePath') elif name == "ExperimentNum": ExperimentNumber = LogDetails.get('ExperimentNumber') print(LogInfoEnable, LogInfoFile, LogInfoStdOutput, LogDebugEnable, LogDebugFile, LogDebugStdOutput, LogStatsEnable, LogStatsFILE, LogStatsStdOutput, LogErrorEnable, LogErrorFILE, LogErrorStdOutput, LogFilePath, ExperimentNumber) filename = "../results/logs/" + "["+ExperimentNumber+"][MOBILITYANDUDM].txt" LogFile = open(filename, "a") # Creates a socket used by UDM to publish messages def InitiatePubSocket(): global UDMPublisher context = zmq.Context() UDMPublisher = context.socket(zmq.PUB) UDMPublisher.bind("tcp://"+str(ParserIP)+":"+str(int(UDMPort) + 1)) # Creates a socket used by UDM to send exit or termination messages def InitiateExitPubSocket(): global UDMExitPublisher context = zmq.Context() UDMExitPublisher = context.socket(zmq.PUB) UDMExitPublisher.bind("tcp://"+str(ParserIP)+":"+str(int(UDMPort) + 3)) # Parse config file to read parser and udm related details def ReadConfigfile(): global ParserIP, ParserPort, UDMPort, SumoFloatingDataPath, CommRange, RunInForeGround, RunInForeGroundList, SystemsIP print("Parsing config file ../config/common/config.xml") tree = ET.parse('../config/common/config.xml') root = tree.getroot() for neighbor in root.iter('ParserIP'): ParserIP = neighbor.get('ParserIP') for neighbor in root.iter('ParserPort'): ParserPort = neighbor.get('ParserPort') for neighbor in root.iter('UDMPort'): UDMPort = neighbor.get('UDMPort') for neighbor in root.iter('SumoFloatingDataPath'): SumoFloatingDataPath = neighbor.get('SumoFloatingDataPath') for neighbor in root.iter('CommRange'): CommRange = neighbor.get('CommRange') for neighbor in root.iter('RunInForeGround'): RunInForeGround = neighbor.get('RunInForeGround') for neighbor in root.iter('RunInForeGroundList'): RunInForeGroundList = neighbor.get('RunInForeGroundList') for neighbor in root.iter('IPList'): SystemsIP = ConvertStringToList(neighbor.get('IPList')) print("Extracted values ParserIP = " + ParserIP + " ParserPort = " + ParserPort + " UDMPort = " + UDMPort + " SumoFloatingDataPath = " + SumoFloatingDataPath + " CommRange = " + CommRange + "RunInForeGround = " + RunInForeGround + "RunInForeGroundList = " + RunInForeGroundList) InitiatePubSocket() InitiateExitPubSocket() PrepareSystemResources() updateLoggingUtilConfigParams() def GetCurrentTime(): currentDT = datetime.datetime.now() CurrentTime = str(currentDT.hour) + ":" + str(currentDT.minute) + ":" + str(currentDT.second) + "." + str(currentDT.microsecond / 1000) return CurrentTime def GetLogString(message): LogString = "[" + GetCurrentTime() + "]["+ExperimentNumber+"][MOBILITYANDUDM][" + message + "]\n" return LogString def LogsFilewrite(message): global LogFile LogFile.write(GetLogString(message)) def LogsInfo(message): global LogInfoEnable, LogInfoFile, LogInfoStdOutput if LogInfoEnable == "TRUE": if LogInfoFile == "TRUE": LogsFilewrite(message) if LogInfoStdOutput == "TRUE": print(GetLogString(message)) def LogsDebug(message): global LogDebugEnable, LogDebugFile, LogDebugStdOutput if LogDebugEnable == "TRUE": if LogDebugFile == "TRUE": LogsFilewrite(message) if LogDebugStdOutput == "TRUE": print(GetLogString(message)) def LogsStats(message): global LogStatsEnable, LogStatsFILE, LogStatsStdOutput if LogStatsEnable == "TRUE": if LogStatsFILE == "TRUE": LogsFilewrite(message) if LogStatsStdOutput == "TRUE": print(GetLogString(message)) def LogsError(message): global LogErrorEnable, LogErrorFILE, LogErrorStdOutput if LogErrorEnable == "TRUE": if LogErrorFILE == "TRUE": LogsFilewrite(message) if LogErrorStdOutput == "TRUE": print(GetLogString(message)) def PrepareSystemResources(): global DistributedSystemsPublisher context = zmq.Context() DistributedSystemsPublisher = context.socket(zmq.PUB) DistributedSystemsPublisher.bind("tcp://"+str(ParserIP)+":"+str(int(UDMPort) + 2)) # this is the main entry point of this script if __name__ == "__main__": print("here1") global LogString, SystemsIP #Uncomment when debugging is required #sys.settrace(traceit) ReadConfigfile() print(SystemsIP) run()

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f2904abee88ac63551da7aa60f4599002d25cdcf

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py

Python

side_scroller/game.py

pecjas/Sidescroller-PyGame

dfcaf4ff95a1733714eaaeb00dc00cd876ab1468

[ "MIT" ]

null

side_scroller/game.py

pecjas/Sidescroller-PyGame

dfcaf4ff95a1733714eaaeb00dc00cd876ab1468

[ "MIT" ]

null

side_scroller/game.py

pecjas/Sidescroller-PyGame

dfcaf4ff95a1733714eaaeb00dc00cd876ab1468

[ "MIT" ]

null

import pygame from side_scroller.constants import BLACK from side_scroller.settings import GameSettings, Fonts from side_scroller.player import Player, Hitbox from side_scroller.constants import GAME_NAME class Game(): def __init__(self): self.player = Player(0, Player.y_bottom_barrier) self.screen = pygame.display.set_mode((GameSettings.width, GameSettings.height)) self.game_fps = GameSettings.minFps self.fps_clock = pygame.time.Clock() self.fps_over_min = 1 self.per_loop_adjustment = 1 self.neutral_count = 0 self.obstacles = list() self.initialize_game() def initialize_game(self): pygame.init() pygame.display.set_caption(GAME_NAME) self.initialize_background() def initialize_background(self): self.screen.blit(GameSettings.background.image, GameSettings.background.rect) def refresh_player_location_background(self): self.screen.blit(GameSettings.background.image, self.player.rect, self.player.rect) def update_score_hud(self): score_text = Fonts.hud_font.render( f"Score: {int(self.player.score.score)}", True, BLACK ) self.screen.blit( GameSettings.background.image, score_text.get_rect(), score_text.get_rect()) self.screen.blit(score_text, score_text.get_rect()) def update_high_score(self): self.player.adjust_high_scores() def prepare_new_game(self): self.player.prepare_new_game() self.obstacles = list() self.initialize_background() self.neutral_count = 0 def set_current_fps_over_min_fps(self): self.fps_over_min = self.game_fps / GameSettings.minFps def set_per_loop_adjustment(self): self.per_loop_adjustment = GameSettings.minFps / self.game_fps def is_hover_limit_reached(self): return self.neutral_count > GameSettings.hoverLimit * self.fps_over_min def increase_count_to_obstacle_tick(self): self.player.score.countToObstacleTick += self.per_loop_adjustment def increase_count_to_level_tick(self): self.player.score.countToLevelTick += self.per_loop_adjustment def tick_game_fps_clock(self): self.fps_clock.tick(self.game_fps) def get_obstacles_in_player_path_y(self) -> list: """ Returns a list of obstacles that could be hit if the player moved along y axis. """ player_path_y = Hitbox( pygame.Rect( 0, 0, self.player.width, 10000 ), "neutral" ) return pygame.sprite.spritecollide(player_path_y, self.obstacles, False)

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0.284457

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0

0.005764

0.244831

2,757

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0.833814

0.028654

0

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0

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0

1

0.222222

false

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0

null

0

1

0

1

f2909580065a2556ae0c58be271bee9537858bf1

366

py

Python

solutions/problem_230.py

ksvr444/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

1,921

2018-11-13T18:19:56.000Z

2021-11-15T14:25:41.000Z

solutions/problem_230.py

MohitIndian/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

2

2019-07-19T01:06:16.000Z

2019-08-01T22:21:36.000Z

solutions/problem_230.py

MohitIndian/daily-coding-problem

5d9f488f81c616847ee4e9e48974523ec2d598d7

[ "MIT" ]

1,066

2018-11-19T19:06:55.000Z

2021-11-13T12:33:56.000Z

def get_min_drops(N, k): if N == 0 or N == 1 or k == 1: return N possibilities = list() for i in range(1, N + 1): possibilities.append( max(get_min_drops(i-1, k-1), get_min_drops(N-i, k)) ) return min(possibilities) + 1 # Tests assert get_min_drops(20, 2) == 6 assert get_min_drops(15, 3) == 5

20.333333

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null

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1

0

null

0

1

f290ef8b6c3eb1ab597e06f8dc82e1806488e974

3,525

py

Python

src/advanceoperate/uploadthread.py

zengrx/S.M.A.R.T

47a9abe89008e9b34f9b9d057656dbf3fb286456

[ "MIT" ]

10

2017-07-11T01:08:28.000Z

2021-05-07T01:49:00.000Z

src/advanceoperate/uploadthread.py

YanqiangHuang/S.M.A.R.T

47a9abe89008e9b34f9b9d057656dbf3fb286456

[ "MIT" ]

null

src/advanceoperate/uploadthread.py

YanqiangHuang/S.M.A.R.T

47a9abe89008e9b34f9b9d057656dbf3fb286456

[ "MIT" ]

6

2017-05-02T14:27:15.000Z

2017-05-15T05:56:40.000Z

#coding=utf-8 import sys, os import socket import hashlib import virus_total_apis from PyQt4 import QtCore sys.path.append("..") from publicfunc.fileanalyze import PEFileAnalize, getFileInfo class UploadFile(QtCore.QThread): finishSignal = QtCore.pyqtSignal(int, tuple) ''' @文件名 @用户公钥 ''' def __init__(self, filename, apikey, parent=None): super(UploadFile, self).__init__(parent) self.filename = str(filename)#.encode('cp936') self.apikey = apikey print self.filename ''' 检查网络，后期转移至common功能 ''' def checkInternet(self): try: host = socket.gethostbyname("www.virustotal.com") s = socket.create_connection((host, 80), 2) print "internet ok" return True except: print "internet err" return False ''' virustotal api函数解析json文件内容 @apikey:用户公钥返回响应代码及检测结果 ''' def virustotalApi(self, apikey): key = apikey result = [] result1 = [] # 检测到的引擎 result2 = [] # 未检测到的引擎 vt = virus_total_apis.PublicApi(key) md5 = hashlib.md5(open(self.filename, 'rb').read()).hexdigest() response = vt.get_file_report(md5) # print response # 所有结果 print response["response_code"] # 网络响应码 if 204 == response["response_code"]: # 超出上传频率 print "204" return ("http_code", "", response["response_code"], "") response_code_ = response["results"]["response_code"] # print response_code_ # 返回信息响应代码 if 1 == response_code_: # 解析json回传内容 # 先显示报毒的引擎 for n in response["results"]["scans"]: if response["results"]["scans"][n]["detected"]: result1.append("{} ^ {}".format(n, response["results"]["scans"][n]["result"])) else: result2.append("{} ^ {}".format(n, response["results"]["scans"][n]["result"])) result = sorted(result1, key=str.lower) + sorted(result2, key=str.lower) elif -2 == response_code_: pass else: response = vt.scan_file(self.filename) # 32M limit if response["results"]["verbose_msg"]: result.append(response["results"]["verbose_msg"]) else: result.append(response["results"]["permalink"]) if 1 == response_code_: return ("scan_result", result, response["response_code"], response_code_) else: return ("permalink", result, response["response_code"], response_code_) # return ("scan_result", result, "http", response["response_code"], "code", response_code_) # if response_code_ is 1 else ("permalink", result, "http", response["response_code"], "code", response_code_) # print ("scan_result", result) if response_code_ is 1 else ("permalink", result) def run(self): print "run" useless, baseinfo = getFileInfo(self.filename) infos = ("baseinfo", baseinfo) self.finishSignal.emit(2, infos) ret = self.checkInternet() if not ret: self.finishSignal.emit(3, tuple(['网络连接失败...'])) return msg = self.virustotalApi(self.apikey) self.finishSignal.emit(1, msg) class AddFileToQqueu(QtCore.QThread): def __init__(self, filename, parent=None): super(AddFileToQqueu, self).__init__(parent) self.filename = filename def run(self): pass

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null

0.083333

0

null

0

null

0

1

0

1

f291aa8b92b2b817f77cb42f08e1e15a9557dcfe

240

py

Python

JaroEliCall/src/functionality/sending_activation_key.py

jaroslaw-wieczorek/Project_IP_Telephony_Python_Voip

05143356fe91f745c286db8c3e2432714ab122e7

[ "MIT" ]

null

JaroEliCall/src/functionality/sending_activation_key.py

jaroslaw-wieczorek/Project_IP_Telephony_Python_Voip

05143356fe91f745c286db8c3e2432714ab122e7

[ "MIT" ]

null

JaroEliCall/src/functionality/sending_activation_key.py

jaroslaw-wieczorek/Project_IP_Telephony_Python_Voip

05143356fe91f745c286db8c3e2432714ab122e7

[ "MIT" ]

1

2018-03-20T21:22:40.000Z

import smtplib server = smtplib.SMTP('smtp.gmail.com', 587) server.starttls() server.login("tt0815550@gmail.com", "AureliaK1609") msg = "YOUR MESSAGE!" server.sendmail("e.kaczmarek01@gmail.com", "tt0815550@gmail.com", msg) server.quit()

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0.142857

0

null

0

1

0

null

0

1

f293d5631b8815a984d95fcfd9fd7e627ddefdd5

484

py

Python

tests/conftest.py

12rambau/commitizen

4309813974b6be72a246d47fc77f4c7f8ef64be1

[ "MIT" ]

866

2020-03-18T06:09:07.000Z

2022-03-30T15:46:17.000Z

tests/conftest.py

12rambau/commitizen

4309813974b6be72a246d47fc77f4c7f8ef64be1

[ "MIT" ]

364

2020-03-18T02:13:09.000Z

2022-03-31T01:57:12.000Z

tests/conftest.py

12rambau/commitizen

4309813974b6be72a246d47fc77f4c7f8ef64be1

[ "MIT" ]

136

2020-03-20T18:06:32.000Z

2022-03-31T00:02:34.000Z

import pytest from commitizen import cmd @pytest.fixture(scope="function") def tmp_git_project(tmpdir): with tmpdir.as_cwd(): cmd.run("git init") yield tmpdir @pytest.fixture(scope="function") def tmp_commitizen_project(tmp_git_project): with tmp_git_project.as_cwd(): tmp_commitizen_cfg_file = tmp_git_project.join("pyproject.toml") tmp_commitizen_cfg_file.write("[tool.commitizen]\n" 'version="0.1.0"\n') yield tmp_git_project

23.047619

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4.710145

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0.092308

0.2

0.16

0.196923

0

0.007463

0.169421

484

20

81

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0

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0.307692

0

null

0

1

0

null

0

1

f296a031d5f0c54dcf0daafc3b2597cd41d7d8ee

524

py

Python

sharedData.py

vidalmatheus/DS.com

47b8d3cbb6d9ecd30178c4ba76408191c0715866

[ "MIT" ]

null

sharedData.py

vidalmatheus/DS.com

47b8d3cbb6d9ecd30178c4ba76408191c0715866

[ "MIT" ]

null

sharedData.py

vidalmatheus/DS.com

47b8d3cbb6d9ecd30178c4ba76408191c0715866

[ "MIT" ]

null

from flask import Flask, render_template, request, redirect,Blueprint, json, url_for, session from modules import dataBase,usuario import psycopg2, os, subprocess, bcrypt # #def getData(): # DATABASE_URL = os.environ['DATABASE_URL'] # con = psycopg2.connect(DATABASE_URL, sslmode='require') # return con ### connect to the dataBase DATABASE_URL = os.environ['DATABASE_URL'] connectionData = dataBase.dataAccess() #### ###Usuario usersDataOnline = usuario.acessManager() #userData = usuario.acessoUser() ###

20.96

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0.068241

0.104987

0.16273

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524

24

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0.166667

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null

0

null

0

1

0

1

f2995fcdd8762cd23c69c1f140cd16f1c0b58140

6,183

py

Python

merlin/analysis/sequential.py

greentea1079/MERlin

f4c50cb15722263ee9397561b9ce4b2eddc3d559

[ "MIT" ]

14

2019-08-19T15:26:44.000Z

2022-01-12T16:38:42.000Z

merlin/analysis/sequential.py

greentea1079/MERlin

f4c50cb15722263ee9397561b9ce4b2eddc3d559

[ "MIT" ]

60

2019-08-19T15:48:37.000Z

2021-11-11T19:19:18.000Z

merlin/analysis/sequential.py

epigen-UCSD/MERlin

3aa784fb28a2a4ebae92cfaf3a72f30a459daab9

[ "MIT" ]

13

2019-08-16T06:03:23.000Z

2021-08-02T15:52:46.000Z

import pandas import rtree import networkx import numpy as np import cv2 from skimage.measure import regionprops from merlin.core import analysistask from merlin.util import imagefilters class SumSignal(analysistask.ParallelAnalysisTask): """ An analysis task that calculates the signal intensity within the boundaries of a cell for all rounds not used in the codebook, useful for measuring RNA species that were stained individually. """ def __init__(self, dataSet, parameters=None, analysisName=None): super().__init__(dataSet, parameters, analysisName) if 'apply_highpass' not in self.parameters: self.parameters['apply_highpass'] = False if 'highpass_sigma' not in self.parameters: self.parameters['highpass_sigma'] = 5 if 'z_index' not in self.parameters: self.parameters['z_index'] = 0 if self.parameters['z_index'] >= len(self.dataSet.get_z_positions()): raise analysistask.InvalidParameterException( 'Invalid z_index specified for %s. (%i > %i)' % (self.analysisName, self.parameters['z_index'], len(self.dataSet.get_z_positions()))) self.highpass = str(self.parameters['apply_highpass']).upper() == 'TRUE' self.alignTask = self.dataSet.load_analysis_task( self.parameters['global_align_task']) def fragment_count(self): return len(self.dataSet.get_fovs()) def get_estimated_memory(self): return 2048 def get_estimated_time(self): return 1 def get_dependencies(self): return [self.parameters['warp_task'], self.parameters['segment_task'], self.parameters['global_align_task']] def _extract_signal(self, cells, inputImage, zIndex) -> pandas.DataFrame: cellCoords = [] for cell in cells: regions = cell.get_boundaries()[zIndex] if len(regions) == 0: cellCoords.append([]) else: pixels = [] for region in regions: coords = region.exterior.coords.xy xyZip = list(zip(coords[0].tolist(), coords[1].tolist())) pixels.append(np.array( self.alignTask.global_coordinates_to_fov( cell.get_fov(), xyZip))) cellCoords.append(pixels) cellIDs = [str(cells[x].get_feature_id()) for x in range(len(cells))] mask = np.zeros(inputImage.shape, np.uint8) for i, cell in enumerate(cellCoords): cv2.drawContours(mask, cell, -1, i+1, -1) propsDict = {x.label: x for x in regionprops(mask, inputImage)} propsOut = pandas.DataFrame( data=[(propsDict[k].intensity_image.sum(), propsDict[k].filled_area) if k in propsDict else (0, 0) for k in range(1, len(cellCoords) + 1)], index=cellIDs, columns=['Intensity', 'Pixels']) return propsOut def _get_sum_signal(self, fov, channels, zIndex): fTask = self.dataSet.load_analysis_task(self.parameters['warp_task']) sTask = self.dataSet.load_analysis_task(self.parameters['segment_task']) cells = sTask.get_feature_database().read_features(fov) signals = [] for ch in channels: img = fTask.get_aligned_image(fov, ch, zIndex) if self.highpass: highPassSigma = self.parameters['highpass_sigma'] highPassFilterSize = int(2 * np.ceil(3 * highPassSigma) + 1) img = imagefilters.high_pass_filter(img, highPassFilterSize, highPassSigma) signals.append(self._extract_signal(cells, img, zIndex).iloc[:, [0]]) # adding num of pixels signals.append(self._extract_signal(cells, img, zIndex).iloc[:, [1]]) compiledSignal = pandas.concat(signals, 1) compiledSignal.columns = channels+['Pixels'] return compiledSignal def get_sum_signals(self, fov: int = None) -> pandas.DataFrame: """Retrieve the sum signals calculated from this analysis task. Args: fov: the fov to get the sum signals for. If not specified, the sum signals for all fovs are returned. Returns: A pandas data frame containing the sum signal information. """ if fov is None: return pandas.concat( [self.get_sum_signals(fov) for fov in self.dataSet.get_fovs()] ) return self.dataSet.load_dataframe_from_csv( 'sequential_signal', self.get_analysis_name(), fov, 'signals', index_col=0) def _run_analysis(self, fragmentIndex): zIndex = int(self.parameters['z_index']) channels, geneNames = self.dataSet.get_data_organization()\ .get_sequential_rounds() fovSignal = self._get_sum_signal(fragmentIndex, channels, zIndex) normSignal = fovSignal.iloc[:, :-1].div(fovSignal.loc[:, 'Pixels'], 0) normSignal.columns = geneNames self.dataSet.save_dataframe_to_csv( normSignal, 'sequential_signal', self.get_analysis_name(), fragmentIndex, 'signals') class ExportSumSignals(analysistask.AnalysisTask): def __init__(self, dataSet, parameters=None, analysisName=None): super().__init__(dataSet, parameters, analysisName) def get_estimated_memory(self): return 2048 def get_estimated_time(self): return 5 def get_dependencies(self): return [self.parameters['sequential_task']] def _run_analysis(self): sTask = self.dataSet.load_analysis_task( self.parameters['sequential_task']) signals = sTask.get_sum_signals() self.dataSet.save_dataframe_to_csv( signals, 'sequential_sum_signals', self.get_analysis_name())

37.472727

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0

null

0

null

0

1

0

1

f2a53c9d24ff35deb138d84a030fd47b3eb06aa1

3,214

py

Python

Proj/2048/test_with_f/tpybrain.py

PiscesDream/Ideas

9ba710e62472f183ae4525f35659cd265c71392e

[ "Apache-2.0" ]

null

Proj/2048/test_with_f/tpybrain.py

PiscesDream/Ideas

9ba710e62472f183ae4525f35659cd265c71392e

[ "Apache-2.0" ]

null

Proj/2048/test_with_f/tpybrain.py

PiscesDream/Ideas

9ba710e62472f183ae4525f35659cd265c71392e

[ "Apache-2.0" ]

null

from load import * from _2048 import _2048 from numpy import * from pybrain.datasets import ClassificationDataSet from pybrain.utilities import percentError from pybrain.tools.shortcuts import buildNetwork from pybrain.supervised.trainers import BackpropTrainer from pybrain.structure.modules import SoftmaxLayer, SigmoidLayer def convolution(x, flat = False): # return x def dist(x, y): if x==y: return x else: return 0 ans = [] for ind in xrange(x.shape[1]): ele = x[:, ind].reshape(int(x.shape[0] ** .5), -1) addition = [] for i in xrange(4): for j in xrange(4): if i+1 < 4: addition.append( dist(ele[i, j], ele[i+1, j])) if j+1 < 4: addition.append( dist(ele[i, j], ele[i, j+1])) ans.append ( list(ele.flatten())+(addition) ) # ans.append(addition) if flat: return array(ans).flatten() else: return array(ans) def con1(x, flat = False, ori = False): return convolute(x, [array([[1, -0.5]]), array([[-0.5, 1]]), array([[1], [-0.5]]), array([[-0.5], [1]])], flat, ori) def convolute(x, con_mats, flat = False, ori = True): ans = [] n, m = x.shape a = int(n ** 0.5) for ind in xrange(m): ele = x[:, ind].reshape(a, -1) addition = [] for con_mat in con_mats: cn, cm = con_mat.shape for i in xrange(a - cn + 1): for j in xrange( a - cm + 1): acc = 0 for i_ in xrange(cn): for j_ in xrange(cm): acc += ele[i + i_, j + j_] * con_mat[i_, j_]; addition.append( acc ) if ori: ans.append( list(ele.flatten()) + (addition) ) else: ans.append(addition) if flat: return array(ans).flatten() else: return array(ans) def softmax_dec(board, u, d, l, r, f): p = f(con1(board.reshape(-1,1), flat = True)) # print p if all(board == u[0]): p[0] = 0 if all(board == d[0]): p[1] = 0 if all(board == l[0]): p[2] = 0 if all(board == r[0]): p[3] = 0 # p /= p.sum() # return random.choice(arange(4), p = p) return p.argmax() if __name__ == '__main__': tr_x = load('rec_board.npy') tr_y = load('rec_move.npy') tr_x = con1(tr_x.T) print tr_x.shape print tr_y.shape data = ClassificationDataSet(tr_x.shape[1], 1, nb_classes = 4) for ind, ele in enumerate(tr_x): data.addSample(ele, tr_y[ind]) data._convertToOneOfMany() print data.outdim fnn = buildNetwork(data.indim, 10, 10, data.outdim, hiddenclass=SigmoidLayer, outclass=SoftmaxLayer ) trainer = BackpropTrainer( fnn, dataset=data)#, momentum=0.1, verbose=True, weightdecay=0.01) for i in xrange(3): print trainer.train() #trainer.trainUntilConvergence() game = _2048(length = 4) game.mul_test(100, lambda a, b, c, d, e: softmax_dec(a, b, c, d, e, f = fnn.activate), addition_arg = True)

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0.036229

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3,214

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0

null

0

null

0

1

0

1

f2a5d347767b990fa97d063da0ee6a2aa890bd9d

2,757

py

Python

run.py

mishel254/py-password-locker

c14dd314251f078125df39104b99384c8cbd292b

[ "MIT" ]

null

run.py

mishel254/py-password-locker

c14dd314251f078125df39104b99384c8cbd292b

[ "MIT" ]

null

run.py

mishel254/py-password-locker

c14dd314251f078125df39104b99384c8cbd292b

[ "MIT" ]

null

#!/usr/bin/env python3.8 from passwords import Credentials from login import accounts import random #create credentials func def create(fname,lname,user,passwords,email): newCredentials = Credentials(fname,lname,user,passwords,email) return newCredentials #delete ''' function to delete credentials & accounts ''' def delete(credentials): credentials.delete() def deleteAccount(accounts): accounts.deleteAccount() ''' save credentials & accounts ''' def saveCredentials(Credentials): Credentials.saveCredentials() def saveAccounts(accounts): accounts.saveAccounts() ''' search credentials ''' def auth_user(email): return Credentials.auth_by_email ''' check if contact exist ''' def account_exists(email): return Credentials.accounts_display(email) ''' display ''' def display_all_users(): return accounts.display_all_users def main(): print('Your name?') username = input() code = input(f'Press Enter {username}') while True: print("Use these short codes :") print("cc - create a new contact") print("dc - display contacts") print("fc -find a contact") print("ex -exit the contact list") print("del-to delete ") short_code = input() if short_code == 'cc': print('First name:') fname = input() print('last name:') lname = input() print('username') username = input() print('email:') email = input() print('password:') passwords = input(round(random.random())) saveCredentials(create(fname,lname,username,passwords,email)) print(f'Your data has been taken d{fname}') elif short_code == 'dc': if display_all_users(): print('users:') for account in display_all_users(): print(f'{account.username} {account.email}') elif short_code == 'fc': print('enter email address to search') search = input() if accounts_exists(email): auth_by_email = find_contact(search) print(f'{search.first}') else: print('NO credentials found!') elif short_code == 'del': print('input Y confirm') confirm = input() if delete(): credentials.delete() print('credential deleted') else: print('credentials not found') elif short_code == 'ex': print('happy coding!') break else: print('Not an existing shortcut') if __name__ == '__main__': main()

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0

null

0

null

0

1

0

1

f2ab54aefe1c397702c020ba41c25aedb91b9d9b

555

py

Python

setup.py

akvatol/CosmOrc

6ee1e1f3521a6d2b4c8eec104fa4e93db32d9352

[ "MIT" ]

1

2018-12-07T17:21:39.000Z

setup.py

akvatol/CosmOrc

6ee1e1f3521a6d2b4c8eec104fa4e93db32d9352

[ "MIT" ]

8

2018-11-23T10:05:01.000Z

2019-04-09T19:17:43.000Z

setup.py

akvatol/CosmOrc

6ee1e1f3521a6d2b4c8eec104fa4e93db32d9352

[ "MIT" ]

1

2018-12-07T17:21:40.000Z

from setuptools import setup, find_packages setup( name='CosmOrc', version='0.1', include_package_data=True, packages=find_packages(), python_requires='>=3.6', install_requires=[ 'Click==7.0', 'numpy==1.16.2', 'pandas==0.24.2', 'pyaml==19.4.1', 'PySnooper==0.2.8', 'python-dateutil==2.8.0', 'pytz==2019.3', 'PyYAML==5.1.2', 'six==1.12.0', 'typing==3.7.4.1', ], entry_points=''' [console_scripts] CosmOrc = main:cli ''', )

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null

0

null

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1

0

1

f2ada1e33fb51298d8dea6d25a8d7c5459098cce

3,976

py

Python

sweetie_bot_flexbe_behaviors/src/sweetie_bot_flexbe_behaviors/rbc18part2_sm.py

sweetie-bot-project/sweetie_bot_flexbe_behaviors

d8511564bb9d6125838b4373263fb68a8b858d70

[ "BSD-3-Clause" ]

null

sweetie_bot_flexbe_behaviors/src/sweetie_bot_flexbe_behaviors/rbc18part2_sm.py

sweetie-bot-project/sweetie_bot_flexbe_behaviors

d8511564bb9d6125838b4373263fb68a8b858d70

[ "BSD-3-Clause" ]

null

sweetie_bot_flexbe_behaviors/src/sweetie_bot_flexbe_behaviors/rbc18part2_sm.py

sweetie-bot-project/sweetie_bot_flexbe_behaviors

d8511564bb9d6125838b4373263fb68a8b858d70

[ "BSD-3-Clause" ]

1

2019-12-23T05:06:26.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- ########################################################### # WARNING: Generated code! # # ************************** # # Manual changes may get lost if file is generated again. # # Only code inside the [MANUAL] tags will be kept. # ########################################################### from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger from sweetie_bot_flexbe_states.wait_for_message_state import WaitForMessageState from sweetie_bot_flexbe_states.compound_action_state import CompoundAction # Additional imports can be added inside the following tags # [MANUAL_IMPORT] # [/MANUAL_IMPORT] ''' Created on Wed Nov 21 2018 @author: mutronics ''' class RBC18Part2SM(Behavior): ''' RBC Presentation Part2 ''' def __init__(self): super(RBC18Part2SM, self).__init__() self.name = 'RBC18Part2' # parameters of this behavior # references to used behaviors # Additional initialization code can be added inside the following tags # [MANUAL_INIT] # [/MANUAL_INIT] # Behavior comments: def create(self): joy_topic = '/hmi/joystick' # x:20 y:231, x:260 y:311 _state_machine = OperatableStateMachine(outcomes=['finished', 'failed']) # Additional creation code can be added inside the following tags # [MANUAL_CREATE] # [/MANUAL_CREATE] with _state_machine: # x:57 y:34 OperatableStateMachine.add('WaitKey1', WaitForMessageState(topic=joy_topic, condition=lambda x: x.buttons[12], buffered=False, clear=False), transitions={'received': 'SpasiboMut', 'unavailable': 'failed'}, autonomy={'received': Autonomy.Off, 'unavailable': Autonomy.Off}, remapping={'message': 'message'}) # x:179 y:106 OperatableStateMachine.add('SpasiboMut', CompoundAction(t1=[0,0.0], type1='voice/play_wav', cmd1='spasibo_mut_tvoyo_uporstvo_vsegda_radovalo_menya', t2=[0,0.0], type2=None, cmd2='', t3=[0,0.0], type3=None, cmd3='', t4=[0,0.0], type4=None, cmd4=''), transitions={'success': 'WaitKey2', 'failure': 'failed'}, autonomy={'success': Autonomy.Off, 'failure': Autonomy.Off}) # x:442 y:360 OperatableStateMachine.add('WaitKey3', WaitForMessageState(topic=joy_topic, condition=lambda x: x.buttons[12], buffered=False, clear=False), transitions={'received': 'SpasiboZuviel', 'unavailable': 'failed'}, autonomy={'received': Autonomy.Off, 'unavailable': Autonomy.Off}, remapping={'message': 'message'}) # x:123 y:441 OperatableStateMachine.add('SpasiboZuviel', CompoundAction(t1=[0,0.0], type1='voice/play_wav', cmd1='prekrasno_chuvstvuete_kakaya_skrita_vo_mne_mosch', t2=[0,0.0], type2=None, cmd2='', t3=[0,0.0], type3=None, cmd3='', t4=[0,0.0], type4=None, cmd4=''), transitions={'success': 'finished', 'failure': 'failed'}, autonomy={'success': Autonomy.Off, 'failure': Autonomy.Off}) # x:428 y:236 OperatableStateMachine.add('SpasiboStefanShiron', CompoundAction(t1=[0,0.0], type1='voice/play_wav', cmd1='spasibo_ya_uslishala_vse_chto_hotela', t2=[0,0.0], type2=None, cmd2='', t3=[0,0.0], type3=None, cmd3='', t4=[0,0.0], type4=None, cmd4=''), transitions={'success': 'WaitKey3', 'failure': 'failed'}, autonomy={'success': Autonomy.Off, 'failure': Autonomy.Off}) # x:370 y:44 OperatableStateMachine.add('WaitKey2', WaitForMessageState(topic=joy_topic, condition=lambda x: x.buttons[12], buffered=False, clear=False), transitions={'received': 'SpasiboStefanShiron', 'unavailable': 'failed'}, autonomy={'received': Autonomy.Off, 'unavailable': Autonomy.Off}, remapping={'message': 'message'}) return _state_machine # Private functions can be added inside the following tags # [MANUAL_FUNC] # [/MANUAL_FUNC]

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null

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1

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null

0

1

f2b258bd5e08c7cfd6f403dd7e2e5de3a6cb8a04

9,512

py

Python

steel_segmentation/utils.py

marcomatteo/steel-segmentation-nbdev

dde19b0b3bf7657ab575e691bca1751592aecc67

[ "Apache-2.0" ]

1

2021-08-20T14:56:26.000Z

steel_segmentation/utils.py

marcomatteo/steel-segmentation-nbdev

dde19b0b3bf7657ab575e691bca1751592aecc67

[ "Apache-2.0" ]

1

2021-05-03T16:42:34.000Z

steel_segmentation/utils.py

marcomatteo/steel_segmentation

dde19b0b3bf7657ab575e691bca1751592aecc67

[ "Apache-2.0" ]

null

# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/01_eda.ipynb (unless otherwise specified). __all__ = ['palet', 'seed_everything', 'print_competition_data', 'get_train_pivot', 'get_train_df', 'count_pct', 'get_classification_df', 'rle2mask', 'make_mask', 'mask2rle', 'plot_mask_image', 'plot_defected_image', 'get_random_idx', 'show_defects'] # Cell from fastai.vision.all import * import numpy as np import pandas as pd import cv2 from matplotlib import pyplot as plt # Cell palet = [ (249, 192, 12), # ClassId 1 (0, 185, 241), # ClassId 2 (114, 0, 218), # ClassId 3 (249,50,12) # ClassId 4 ] # Cell def seed_everything(seed=69): """ Seeds `random`, `os.environ["PYTHONHASHSEED"]`, `numpy`, `torch.cuda` and `torch.backends`. """ warnings.filterwarnings("ignore") random.seed(seed) os.environ["PYTHONHASHSEED"] = str(seed) np.random.seed(seed) torch.cuda.manual_seed(seed) torch.backends.cudnn.deterministic = True # Cell def print_competition_data(p: Path): for elem in p.ls(): print(elem) # Cell def get_train_pivot(df): """ Summarize the training csv with ClassId as columns and values EncodedPixels """ def rles2classids(s: pd.Series): classids = [] for classid in s.index: if classid != "n": value = s[classid] if not (value is np.nan): classids.append(str(classid)) return " ".join(classids) train_pivot = df.pivot( index="ImageId", columns="ClassId", values="EncodedPixels") train_pivot["n"] = train_pivot.notnull().sum(1) train_pivot["ClassIds"] = train_pivot.apply(rles2classids, axis=1) return train_pivot def get_train_df(path, only_faulty=False, pivot=False, hard_negatives=False): """ Get training DataFrame with all the images in data/train_images. Returns only the faulty images if `only_faulty`. """ img_path = path/"train_images" csv_file_name = path/"train.csv" train = pd.read_csv(csv_file_name) img_names = [img.name for img in get_image_files(img_path)] df_all = pd.DataFrame({'ImageId': img_names}) train_all = pd.merge(df_all, train, on="ImageId", how="outer", indicator=True) # Renaming and fillna train_all.rename(columns={'_merge': 'status'}, inplace=True) rename_dict = {"both": "faulty", "left_only": "no_faulty", "right_only": "missing"} train_all["status"] = train_all["status"].cat.rename_categories(rename_dict) train_all = train_all[train_all["status"]!="missing"] train_all.ClassId.fillna(0, inplace=True) train_all.ClassId = train_all.ClassId.astype('int64') train_all.EncodedPixels.fillna(-1, inplace=True) train_all["ImageId_ClassId"] = train_all["ImageId"] + "_" + train_all["ClassId"].astype('str') if hard_negatives: hard_neg_patterns = pd.read_csv( path/"hard_negatives_patterns.txt", header=None, names=["ImageId"]) cond = train_all["status"]=="faulty" cond_hn = train_all["ImageId"].isin(hard_neg_patterns["ImageId"].tolist()) train_all = train_all.loc[cond | cond_hn] if only_faulty: train_all = train_all[train_all["status"]=="faulty"] if pivot: return get_train_pivot(train_all) return train_all # Cell def count_pct(df, column="ClassId"): """Returns a `pandas.DataFrame` with count and frequencies stats for `column`.""" class_count = df[column].value_counts().sort_index() class_count.index.set_names(column, inplace=True) class_count = class_count.to_frame() class_count.rename(columns={column: "num"}, inplace=True) return class_count.assign(freq=lambda df: df["num"] / df["num"].sum()) # Cell def get_classification_df(df: pd.DataFrame): """ Get the DataFrame for the multiclass classification model """ def assign_multi_ClassId(x): """Returns a string with multi ClassId sep with a blank space (' ')""" def fill_cols(c): return c.fillna(5).astype('int64').astype(str) cols = [fill_cols(x[i]) for i in range(5)] cols = [col.replace('5', '') for col in cols] ClassId_multi = cols[0] + " " + cols[1] + " " + \ cols[2] + " " + cols[3] + " " + cols[4] ClassId_multi = ClassId_multi.str.strip() ClassId_multi = ClassId_multi.str.replace(' ', ' ') return ClassId_multi.str.strip() train_multi = df.pivot( index="ImageId", columns="ClassId", values="ClassId") train_multi = train_multi.assign( ClassId_multi=lambda x: assign_multi_ClassId(x)) return train_multi.reset_index()[["ImageId", "ClassId_multi"]] # Cell def rle2mask(rle, value=1, shape=(256,1600)): """ mask_rle: run-length as string formated (start length) shape: (width,height) of array to return Returns numpy array, 1 - mask, 0 - background Source: https://www.kaggle.com/paulorzp/rle-functions-run-lenght-encode-decode """ s = rle.split() starts, lengths = [np.asarray(x, dtype=int) for x in (s[0:][::2], s[1:][::2])] starts -= 1 ends = starts + lengths img = np.zeros(shape[0]*shape[1], dtype=np.uint8) for lo, hi in zip(starts, ends): img[lo:hi] = value return img.reshape((shape[1], shape[0])).T # Cell def make_mask(item, df, flatten=False): ''' Given an item as: - row index [int] or - ImageId [str] or - file [Path] or - query [pd.Series], returns the image_item and mask with two types of shapes: - (256, 1600) if `flatten`, - (256, 1600, 4) if not `flatten`, ''' if isinstance(item, str): cond = df.loc[item] elif isinstance(item, int): cond = df.iloc[item] elif isinstance(item, Path): cond = df.loc[item.name] elif isinstance(item, pd.Series): cond = df.loc[item["ImageId"]] else: print(item, type(item)) raise KeyError("invalid item") fname = cond.name # without 0 ClassId, only 1,2,3,4 ClassId labels = cond[1:-2] h, w = (256, 1600) masks = np.zeros((h, w, 4), dtype=np.float32) # 4:class 1～4 (ch:0～3) for itemx, label in enumerate(labels.values): if label is not np.nan: masks[:, :, itemx] = rle2mask(rle=label, value=1, shape=(h,w)) if flatten: classes = np.array([1, 2, 3, 4]) masks = (masks * classes).sum(-1) return fname, masks # Cell def mask2rle(mask): """ Efficient implementation of mask2rle, from @paulorzp img: numpy array, 1 - mask, 0 - background Returns run length as string formated Source: https://www.kaggle.com/xhlulu/efficient-mask2rle """ pixels = mask.T.flatten() pixels = np.pad(pixels, ((1, 1), )) runs = np.where(pixels[1:] != pixels[:-1])[0] + 1 runs[1::2] -= runs[::2] return ' '.join(str(x) for x in runs) # Cell def plot_mask_image(name: str, img: np.array, mask: np.array): """Plot a np.array image and mask with contours.""" fig, ax = plt.subplots(figsize=(15, 5)) mask = mask.astype(np.uint8) for ch in range(4): contours, _ = cv2.findContours(mask[:, :, ch], cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE) for i in range(len(contours)): cv2.polylines(img, contours[i], True, palet[ch], 2) ax.set_title(name, fontsize=13) ax.imshow(img) plt.xticks([]) plt.yticks([]) plt.show() # Cell def plot_defected_image(img_path: Path, df: pd.DataFrame, class_id=None): """Plot a `img_path` Path image from the training folder with contours.""" img_name = img_path.name img = cv2.imread(str(img_path)) _, mask = make_mask(img_path, df) class_ids = np.arange(1, 5) cond = np.argmax(mask, axis=0).argmax(axis=0) > 0 classid = class_ids[cond] if class_id is None: title = f"Original: Image {img_name} with defect type: {list(classid)}" plot_mask_image(title, img, mask) else: title = f"Original: Image {img_name} with defect type {class_id}" idx = class_id-1 filter_mask = np.zeros((256, 1600, 4), dtype=np.float32) filter_mask[:, :, idx] = mask[:, :, idx] plot_mask_image(title, img, filter_mask) # Cell def get_random_idx(n: int) -> np.ndarray: """ Return a random sequence of size `n`. """ rng = np.random.default_rng() return rng.permutation(n) # Cell def show_defects(path, df, class_id=None, n=20, only_defects=True, multi_defects=False): """ Plot multiple images. Attributes: `path`: [Path] `df`: [pd.DataFrame] only train_pivot `class_id`: [str or int] select a type of defect otherwise plot all kinds; `n`: select the number of images to plot; `only_defects` [bool, default True]: if False it shows even the no faulty images; `multi_defects` [bool, default False]: if True it shows imgs with multi defects. """ cond_no_defects = df[0] == -1 cond_multi_defects = df["n"] > 1 df = df.loc[cond_no_defects] if not only_defects else df.loc[~cond_no_defects] df = df.loc[cond_multi_defects] if multi_defects else df.loc[~cond_multi_defects] if class_id is not None: cond_classId = df[class_id].notna() df = df.loc[cond_classId] imgid_from_df = df.index.tolist() pfiles_list = L([path / "train_images" / imgid for imgid in imgid_from_df]) perm_paths = pfiles_list[get_random_idx(len(pfiles_list))] for img_path in perm_paths[:n]: plot_defected_image(img_path, df)

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f2b72d00fd0e6778383cb9c2b7f0e084dcbc51b2

5,798

py

Python

gui/wndRecipeProcedure.py

ralic/gnu_brewtools

ba09dc11e23d93e623f497286f3f2c3e9aaa41c2

[ "BSD-3-Clause" ]

null

gui/wndRecipeProcedure.py

ralic/gnu_brewtools

ba09dc11e23d93e623f497286f3f2c3e9aaa41c2

[ "BSD-3-Clause" ]

null

gui/wndRecipeProcedure.py

ralic/gnu_brewtools

ba09dc11e23d93e623f497286f3f2c3e9aaa41c2

[ "BSD-3-Clause" ]

null

""" * Copyright (c) 2008, Flagon Slayer Brewery * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of the Flagon Slayer Brewery nor the * names of its contributors may be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY Flagon Slayer Brewery ``AS IS'' AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL Flagon Slayer Brewery BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ import pygtk pygtk.require("2.0") import gtk, gtk.glade from recipe import* from obj_manager import* from util import* from wndRecipeIngredients import* class ProcedureWindow(object): """ ######################################################################### # Sub-Class: ProcedureWindow # # Opens the GUI window to create and store a new # # Procedures into the new Recipe Object. Creates the button # # handlers and has the functions to support them. # #-----------------------------------------------------------------------# """ def __init__(self): self.gladefile = 'gui/recipe.glade' def run(self, TempNewRecipe, Edit=None): self.wTree = gtk.glade.XML(self.gladefile, 'wndAddProcedures') #store the new recipe object passed to here self.procedures = TempNewRecipe #store editing self.Editing = Edit #dictionary of Handlers for events in procedure GUI window #including the method function to support that handle # dic = {"Button Handler Name": sef.CorresondingFunctionTitle} dic = { "btnAddProcedures_clicked_cb" : self.AddProcedures, "btnDelete_clicked_cb" : self.DeleteProcedures, "wndAddProcedures_destory_cb" : self.exit, "btnFinish_clicked_cb" : self.exit, "btnClearForm_clicked_cb" : self.clearFields, } self.wTree.signal_autoconnect(dic) #send dictionary of hanles to GUI #set window GUI for Recipe and open self.wind = self.wTree.get_widget('wndAddProcedures') self.setTrees() self.PopulateTrees() self.wind.run() def setTrees(self, callback=None): """ creates a tree list to hold all New Recipe Procedures """ self.tre_Procedure = self.wTree.get_widget('tre_Procedure') self.tre_Procedures_List = setupList(self.tre_Procedure, ['Name', 'Time', 'Description'], (str,str,str)) def PopulateTrees(self, callback=None): """ Populate the procedures if any stored """ for i in self.procedures.Procedures: self.tre_Procedures_List.append([i.name, "%s %s" % (i.timing_delta, i.time_unit), i.description]) def AddProcedures(self, callback): """ Function that supports the Add Procedure button. Function stores each single procedure created into a procedure object that is stored in a list of procedeures stored in the new Recipe object """ #create variable to hold text input fro GUI text boxes ProcedureName = self.wTree.get_widget('Name_text') Time = self.wTree.get_widget('Time_txt') Description = self.wTree.get_widget('Description_txt') Unit = self.wTree.get_widget('TimeUnit').get_active_text() #call the Add_procedure function in recipe.py #creates an object for each single procedure #then stores them in a procedures list self.procedures.Add_procedure(ProcedureName.get_text(), Time.get_text(), Description.get_text(), Unit) self.tre_Procedures_List.insert(0,[ProcedureName.get_text(), "%s %s" % (Time.get_text(),Unit), Description.get_text()]) #test purposes to see if inputs are correct and stored print 'reach look at fields procedure' print ProcedureName.get_text(), Description.get_text(), Time.get_text(), Unit self.clearFields(self) def DeleteProcedures(self, callback): """ Function that supports the delete procedure button. Deletes the selected procedure in the Recipe procedure tree. """ #try: Model, selected = self.tre_Procedure.get_selection().get_selected() selection = Model[selected] #retreive object to delete from the ingredient list name = selection[0] description = selection[2] self.procedures.Delete_Procedure(name, description) self.tre_Procedures_List.remove(selected) print 'Reach Delete Procedures' print "%s" % (selected) #except: #print ' no selection try again' def clearFields(self, callback): """ Function that supports the Clear All Procedures Form button. Clears all text fields in the Procedures Form """ print 'Reach Clear All Fields for Procedure' self.wTree.get_widget('Name_text').set_text('') self.wTree.get_widget('Description_txt').set_text('') self.wTree.get_widget('Time_txt').set_text('') self.wTree.get_widget('TimeUnit').set_active(-1) def exit(self, callback): """ Function to handle quit """ self.wind.destroy() print 'exit procedure'

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f2b7bb0de76b2e0ba5ce5495b4efc9822958361d

1,018

py

Python

oidc_provider/migrations/0028_change_response_types_field_1_of_3.py

avallbona/django-oidc-provider

93b41e9ada42ca7c4bd6c860de83793ba3701d68

[ "MIT" ]

null

oidc_provider/migrations/0028_change_response_types_field_1_of_3.py

avallbona/django-oidc-provider

93b41e9ada42ca7c4bd6c860de83793ba3701d68

[ "MIT" ]

null

oidc_provider/migrations/0028_change_response_types_field_1_of_3.py

avallbona/django-oidc-provider

93b41e9ada42ca7c4bd6c860de83793ba3701d68

[ "MIT" ]

1

2021-02-17T16:23:41.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.4 on 2018-12-16 02:43 from __future__ import unicode_literals from django.db import migrations, models import oidc_provider.fields class Migration(migrations.Migration): dependencies = [ ('oidc_provider', '0027_swappable_client_model'), ] operations = [ migrations.RenameField( model_name='client', old_name='response_types', new_name='old_response_types', ), migrations.AddField( model_name='client', name='response_types', field=oidc_provider.fields.JsonMultiSelectModelField(choices=[('code', 'code (Authorization Code Flow)'), ('id_token', 'id_token (Implicit Flow)'), ('id_token token', 'id_token token (Implicit Flow)'), ('code token', 'code token (Hybrid Flow)'), ('code id_token', 'code id_token (Hybrid Flow)'), ('code id_token token', 'code id_token token (Hybrid Flow)')], default=set, verbose_name='Response Types'), ), ]

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0

1

f2b89b6b2b0dc41d3a0e5d1ce5504c256753035d

926

py

Python

reservations/migrations/0001_initial.py

danielmicaletti/ride_cell

910be09ebc714b8c744edaf81559c8a9266473e3

[ "MIT" ]

null

reservations/migrations/0001_initial.py

danielmicaletti/ride_cell

910be09ebc714b8c744edaf81559c8a9266473e3

[ "MIT" ]

null

reservations/migrations/0001_initial.py

danielmicaletti/ride_cell

910be09ebc714b8c744edaf81559c8a9266473e3

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2017-04-26 00:00 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('parking', '0001_initial'), ] operations = [ migrations.CreateModel( name='SpotReservation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('spot_reservation_date', models.DateField()), ('spot_reservation_start_time', models.TimeField()), ('spot_reservation_end_time', models.TimeField()), ('spot_location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='reservation_spot', to='parking.SpotLocation')), ], ), ]

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null

0

1

0

null

0

1

f2bbbde7ac14cbda28bc8fe761c19a1e71889708

2,808

py

Python

pfrock/cli/config_parser.py

knightliao/pfrock

33587f11caeeccc11d0b8219b4e02df153905486

[ "Apache-2.0" ]

62

2016-02-24T10:47:17.000Z

2019-04-27T01:36:56.000Z

pfrock/cli/config_parser.py

knightliao/pfrock

33587f11caeeccc11d0b8219b4e02df153905486

[ "Apache-2.0" ]

1

2019-04-19T12:13:21.000Z

2021-08-10T09:16:09.000Z

pfrock/cli/config_parser.py

knightliao/pfrock

33587f11caeeccc11d0b8219b4e02df153905486

[ "Apache-2.0" ]

24

2016-03-01T14:59:29.000Z

2019-09-02T08:12:00.000Z

# !/usr/bin/env python # coding=utf8 import json import traceback from tornado.web import RequestHandler from pfrock.cli import logger from pfrock.core.constants import PFROCK_CONFIG_SERVER, PFROCK_CONFIG_ROUTER, PFROCK_CONFIG_PORT, ROUTER_METHOD, \ ROUTER_PATH, ROUTER_OPTIONS, ROUTER_HANDLER from pfrock.core.lib import auto_str @auto_str class PfrockConfigRouter(object): SUPPORTED_METHODS = RequestHandler.SUPPORTED_METHODS def __init__(self, path, methods, handler, options={}): self.path = path self.handler = handler self.options = options self.methods = [] if methods == "any": self.methods = [] else: for method in methods: method = method.upper() if method in self.SUPPORTED_METHODS: self.methods.append(method) @auto_str class PfrockConfigServer(object): def __init__(self, routes, port): self.routes = routes self.port = port class PfrockConfigParser(object): @classmethod def _parse_router(cls, router): path = router[ROUTER_PATH] if ROUTER_PATH in router else None methods = router[ROUTER_METHOD] if ROUTER_METHOD in router else [] handler = router[ROUTER_HANDLER] if ROUTER_HANDLER in router else None options = router[ROUTER_OPTIONS] if ROUTER_OPTIONS in router else None if path and handler: return PfrockConfigRouter(path, methods, handler, options) return None @classmethod def _parse_routers(cls, routers): router_list = [] for router in routers: router = cls._parse_router(router) if router: router_list.append(router) return router_list @classmethod def _parse_servers(cls, server): port = server[PFROCK_CONFIG_PORT] if PFROCK_CONFIG_PORT in server else None routers = cls._parse_routers(server[PFROCK_CONFIG_ROUTER]) if PFROCK_CONFIG_ROUTER in server else None if port and routers: return PfrockConfigServer(routers, port) @classmethod def do(cls, config_file_path): with open(config_file_path, 'r') as fin: try: config_data = json.load(fin) except: logger.error("%s not well formed \n%s" % (config_file_path, traceback.format_exc())) return None config_servers = config_data[PFROCK_CONFIG_SERVER] if PFROCK_CONFIG_SERVER in config_data else None if config_servers: for config_server in config_servers: config_server = cls._parse_servers(config_server) # todo: dev version just support one server return config_server return None

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0

null

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1

0

1

f2ca33e35faaa3a6ab066c758e3c492f242feea7

633

py

Python

lesson_3_set.py

pis2pis2/pis2pis2

a8ab83d89bbeaa2b4a6a2be684ae5b7513472a7f

[ "MIT" ]

null

lesson_3_set.py

pis2pis2/pis2pis2

a8ab83d89bbeaa2b4a6a2be684ae5b7513472a7f

[ "MIT" ]

null

lesson_3_set.py

pis2pis2/pis2pis2

a8ab83d89bbeaa2b4a6a2be684ae5b7513472a7f

[ "MIT" ]

4

2019-11-12T06:59:35.000Z

2021-01-29T21:34:15.000Z

# Тип данных МНОЖЕСТВО (set)------------------------ #------------------------------------------ # Инициализация temp_set = {1,2,3} print(type(temp_set), temp_set) temp_list = [1,2,1,2,2,3,4,12,32] temp_set = set(temp_list) print(type(temp_set), temp_set) # Обращения к элементам множества print(100 in temp_set) for element in temp_set: print(element) # Функции с множествами #---------- # Операции с множествами # Методы my_set_1 = set([1, 2, 3, 4, 5]) my_set_2 = set([5, 6, 7, 8, 9]) my_set_3 = my_set_1.union(my_set_2) print(my_set_3) my_set_4 = my_set_1.difference(my_set_2) print(my_set_4)

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633

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0.428571

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null

0

null

0

1

0

1

4b37de6730f4bf33d3ca155f712cb0a661d6d553

951

py

Python

docker-app/qfieldcloud/core/migrations/0045_auto_20211012_2234.py

livelihoods-and-landscapes/qfieldcloud-tcs

3075e19d89caa3090a0d2027a376336526572764

[ "MIT" ]

34

2021-06-08T12:06:24.000Z

2022-03-07T11:45:10.000Z

docker-app/qfieldcloud/core/migrations/0045_auto_20211012_2234.py

livelihoods-and-landscapes/qfieldcloud-tcs

3075e19d89caa3090a0d2027a376336526572764

[ "MIT" ]

139

2021-06-08T00:24:51.000Z

2022-03-28T09:59:54.000Z

docker-app/qfieldcloud/core/migrations/0045_auto_20211012_2234.py

livelihoods-and-landscapes/qfieldcloud-tcs

3075e19d89caa3090a0d2027a376336526572764

[ "MIT" ]

8

2021-06-11T04:18:36.000Z

2022-02-15T20:52:58.000Z

# Generated by Django 3.2.8 on 2021-10-12 22:34 from django.db import migrations, models def fill_in_datetime_fields(apps, schema_editor): # Old values in output field of delta table where string instead of json Job = apps.get_model("core", "Job") Job.objects.update( started_at=models.F("created_at"), finished_at=models.F("updated_at") ) class Migration(migrations.Migration): dependencies = [ ("core", "0044_alter_user_username"), ] operations = [ migrations.AddField( model_name="job", name="finished_at", field=models.DateTimeField(blank=True, null=True, editable=False), ), migrations.AddField( model_name="job", name="started_at", field=models.DateTimeField(blank=True, null=True, editable=False), ), migrations.RunPython(fill_in_datetime_fields, migrations.RunPython.noop), ]

28.818182

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951

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0.067682

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0

0.026462

0.245005

951

32

82

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0

null

0

1

0

null

0

1

4b3d9db6b58f7211471a5f7c96ec4eb5f14b1e04

958

py

Python

backend/app/exceptions/exceptions.py

Michal-Miko/competitive-teams

6bb55542e06121f413248ddf0b75285296b610bb

[ "MIT" ]

null

backend/app/exceptions/exceptions.py

Michal-Miko/competitive-teams

6bb55542e06121f413248ddf0b75285296b610bb

[ "MIT" ]

null

backend/app/exceptions/exceptions.py

Michal-Miko/competitive-teams

6bb55542e06121f413248ddf0b75285296b610bb

[ "MIT" ]

null

from app.database import crud from fastapi import HTTPException, status def check_for_team_existence(db, team_id): if crud.get_team(db, team_id=team_id) is None: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Team {} not found".format(team_id)) def check_for_player_existence(db, player_id): if crud.get_player(db, player_id=player_id) is None: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Player {} not found".format(player_id)) def check_for_match_existence(db, match_id): if crud.get_match(db, match_id=match_id) is None: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Match {} not found".format(match_id)) def check_for_tournament_existence(db, tournament_id): if crud.get_tournament(db, tournament_id=tournament_id) is None: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Match {} not found".format(tournament_id))

41.652174

117

0.775574

150

958

4.633333

0.2

0.092086

0.063309

0.417266

0

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0.126305

958

22

118

43.545455

0.81601

0

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0

1

0.285714

false

0

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0.428571

0

null

0

null

0

1

0

1

4b453f03ad86e35ca9832f88f32cb3f426b3e7ef

1,191

py

Python

api/migrations/0002_element_pokemon.py

danielchikara/pokemon_in_hom

5da9baa3f87e012ae0d4278668409e1668bf87a6

[ "MIT" ]

null

api/migrations/0002_element_pokemon.py

danielchikara/pokemon_in_hom

5da9baa3f87e012ae0d4278668409e1668bf87a6

[ "MIT" ]

null

api/migrations/0002_element_pokemon.py

danielchikara/pokemon_in_hom

5da9baa3f87e012ae0d4278668409e1668bf87a6

[ "MIT" ]

null

# Generated by Django 3.2.11 on 2022-01-08 03:50 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0001_initial'), ] operations = [ migrations.CreateModel( name='Element', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('description', models.TextField()), ], ), migrations.CreateModel( name='Pokemon', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100)), ('image', models.CharField(max_length=700)), ('id_pokedex', models.IntegerField()), ('description', models.TextField()), ('id_element', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='element_pokemons', to='api.element')), ], ), ]

35.029412

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1,191

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null

0

1

0

null

0

1

4b45b1a0f99a331cd3db5bcbd3c80d4d359c59e4

5,468

py

Python

src/CLI/actioner/sonic-cli-ip-prefix.py

project-arlo/sonic-mgmt-framework

562cd84ff3fec9ca705c7df621742f2daa61ce71

[ "Apache-2.0" ]

7

2019-10-17T06:12:02.000Z

2021-09-08T11:16:19.000Z

src/CLI/actioner/sonic-cli-ip-prefix.py

noolex/sonic-mgmt-framework

5493889adc47fc584b04dca1a0cc0a2007211df4

[ "Apache-2.0" ]

207

2019-06-24T04:48:11.000Z

2020-05-06T05:51:37.000Z

src/CLI/actioner/sonic-cli-ip-prefix.py

noolex/sonic-mgmt-framework

5493889adc47fc584b04dca1a0cc0a2007211df4

[ "Apache-2.0" ]

20

2019-06-27T19:24:45.000Z

2021-07-15T21:12:30.000Z

#!/usr/bin/python ########################################################################### # # Copyright 2019 Dell, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ########################################################################### import sys import time import json import ast import cli_client as cc from rpipe_utils import pipestr from scripts.render_cli import show_cli_output import urllib3 urllib3.disable_warnings() def generate_ipprefix_uri(args, delete): _action = "PERMIT" _mode = set_name = ge = le = _maskrange_length = _ip_prefix = '' ge_val = le_val = prefix_exits = le_exits = ge_exits = is_error = i = 0 for arg in args: if "permit" == arg: _action = "PERMIT" elif "deny" == arg: _action = "DENY" elif "prefix-list" == arg: set_name = args[i+1] if len(args) > 4: _ip_prefix = args[i+3] prefix_exits = 1 elif "ge" == arg: ge_exits = 1 ge_val = int(args[i+1]) ge = args[i+1] elif "le" == arg: le_exits = 1 le_val = int(args[i+1]) le = args[i+1] elif "ip" == arg: _mode = "IPV4" max = "32" elif "ipv6" == arg: _mode = "IPV6" max = "128" else: temp = 1 i = i + 1 if prefix_exits: _prefix, _mask = _ip_prefix.split("/") mask_val = int(_mask) if (ge_exits == 0 and le_exits == 0): _maskrange_length = "exact" elif (ge_exits == 1 and le_exits == 0): if (ge_val <= mask_val): is_error = 1 _maskrange_length = ge + ".." + max elif (ge_exits == 0 and le_exits == 1): if (mask_val > le_val): is_error = 1 _maskrange_length = _mask+".."+le else: if ((ge_val <= mask_val) or (mask_val > le_val) or (ge_val > le_val)): is_error = 1 _maskrange_length = ge+".."+le if is_error: print ("%Error: Invalid prefix range, make sure: len < ge <= le") exit(1) if delete: keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets/prefix-set={prefix_list_name}/prefixes/prefix={prefix}%2F{mask},{masklength_range}', prefix_list_name=set_name, prefix=_prefix, mask=_mask, masklength_range=_maskrange_length) body = None else: keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets') body = {"openconfig-routing-policy:prefix-sets":{"prefix-set":[{"name": set_name,"config":{"name": set_name, "mode": _mode},"prefixes":{"prefix":[{"ip-prefix": _ip_prefix,"masklength-range": _maskrange_length,"config": { "ip-prefix": _ip_prefix,"masklength-range": _maskrange_length,"openconfig-routing-policy-ext:action": _action}}]}}]}} else: keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets/prefix-set={prefix_list_name}', prefix_list_name=set_name) body = None return keypath, body def invoke(func, args): body = None aa = cc.ApiClient() if func == 'ip_prefix_create': keypath, body = generate_ipprefix_uri(args, 0) return aa.patch(keypath, body) elif func == 'ip_prefix_delete': keypath, body = generate_ipprefix_uri(args, 1) return aa.delete(keypath) elif func == 'ip_prefix_show_all': keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets') return aa.get(keypath) elif func == 'ip_prefix_show_specific': keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets/prefix-set={name}',name=args[1]) return aa.get(keypath) elif func == 'ipv6_prefix_show_all': keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets') return aa.get(keypath) elif func == 'ipv6_prefix_show_specific': keypath = cc.Path('/restconf/data/openconfig-routing-policy:routing-policy/defined-sets/prefix-sets/prefix-set={name}',name=args[1]) return aa.get(keypath) else: return aa.cli_not_implemented(func) def run(func, args): try: response = invoke(func,args) if response.ok(): if response.content is not None: # Get Command Output api_response = response.content if api_response is None: print("Failed") return #print api_response show_cli_output(args[0], api_response) else: print response.error_message() return except Exception as e: print "%Error: " + str(e) return if __name__ == '__main__': pipestr().write(sys.argv) run(sys.argv[1], sys.argv[2:])

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null

0.034783

0

null

0

null

0

1

0

1

4b48a1ce648ccd7eddf1077ee9304a100d815be4

581

py

Python

day6_10/day6b.py

invincible-akshay/advent_of_code2020

81f207c6f7218ff235c31d67e1b4659cc482297c

[ "MIT" ]

null

day6_10/day6b.py

invincible-akshay/advent_of_code2020

81f207c6f7218ff235c31d67e1b4659cc482297c

[ "MIT" ]

null

day6_10/day6b.py

invincible-akshay/advent_of_code2020

81f207c6f7218ff235c31d67e1b4659cc482297c

[ "MIT" ]

null

import utils.fileutils as futils inp = futils.read_list("../data/day6.txt") nums_dict = dict() group_size, res_count = 0, 0 for line in inp: if line == "": # res_count += len(nums_set) for k, v in nums_dict.items(): if v == group_size: res_count += 1 nums_dict = dict() group_size = 0 continue group_size += 1 for ch in line: nums_dict[ch] = 1 + nums_dict.get(ch, 0) for k, v in nums_dict.items(): if v == group_size: res_count += 1 print("Sum of counts: {0}".format(res_count))

25.26087

48

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91

581

3.428571

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0.153846

0.115385

0.163462

0.397436

0.262821

0

0.024752

0.304647

581

22

49

26.409091

0.747525

0.04475

0

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0

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false

0

0.052632

0

0.052632

0

null

0

1

0

null

0

1

4b4dceb98d231438a803f497f8f31de32f299051

241

py

Python

sps_demo/accounts/api/serializers.py

JuanDM93/sps_django

df47c7ee63a1e99468644a6f428a6cdabc7ac6ae

[ "MIT" ]

null

sps_demo/accounts/api/serializers.py

JuanDM93/sps_django

df47c7ee63a1e99468644a6f428a6cdabc7ac6ae

[ "MIT" ]

1

2021-07-27T06:46:05.000Z

sps_demo/accounts/api/serializers.py

JuanDM93/sps_django

df47c7ee63a1e99468644a6f428a6cdabc7ac6ae

[ "MIT" ]

null

from rest_framework.serializers import ModelSerializer from accounts.models import Account class AccountSerializer(ModelSerializer): class Meta: model = Account fields = [ 'account_id', 'limit', ]

21.909091

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null

0

null

0

1

4b4e8e6fb685efd1c0bdeed695e0d638ddd30af1

1,376

py

Python

backend/framework/qlf/dashboard/migrations/0012_auto_20180921_1717.py

desihub/qlf

a9c455f7aee41d7901c89ae90dd821c617340a86

[ "BSD-3-Clause" ]

8

2017-09-08T00:24:20.000Z

2019-02-03T07:31:03.000Z

backend/framework/qlf/dashboard/migrations/0012_auto_20180921_1717.py

desihub/qlf

a9c455f7aee41d7901c89ae90dd821c617340a86

[ "BSD-3-Clause" ]

77

2017-06-15T21:39:09.000Z

2019-07-13T19:41:27.000Z

backend/framework/qlf/dashboard/migrations/0012_auto_20180921_1717.py

desihub/qlf

a9c455f7aee41d7901c89ae90dd821c617340a86

[ "BSD-3-Clause" ]

5

2017-09-10T02:25:03.000Z

2019-02-06T20:55:59.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-09-21 17:17 from __future__ import unicode_literals import django.contrib.postgres.fields from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('dashboard', '0011_auto_20180727_1800'), ] operations = [ migrations.CreateModel( name='Fibermap', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ra_obs', django.contrib.postgres.fields.ArrayField(base_field=models.FloatField(), size=None)), ('dec_obs', django.contrib.postgres.fields.ArrayField(base_field=models.FloatField(), size=None)), ('fiber', django.contrib.postgres.fields.ArrayField(base_field=models.FloatField(), size=None)), ('objtype', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=15), size=None)), ('exposure', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='fibermap_exposure', to='dashboard.Exposure')), ], ), migrations.RemoveField( model_name='qa', name='job', ), migrations.DeleteModel( name='QA', ), ]

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0.25

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null

0

1

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null

0

1

4b53328e075db009dbb8d21c3c121da0a2ce955a

476

py

Python

qcodes/instrument_drivers/rohde_schwarz/HMC8042.py

LGruenhaupt/Qcodes

ffb74dae53c13c4885e61b5a2df3f833d524de04

[ "MIT" ]

1

2019-12-07T01:25:49.000Z

qcodes/instrument_drivers/rohde_schwarz/HMC8042.py

Dominik-Vogel/Qcodes

b4cf7d58bc1bf3be97af6bf48f57cb6b87d588bb

[ "MIT" ]

12

2020-10-13T16:53:37.000Z

2020-10-14T17:16:22.000Z

qcodes/instrument_drivers/rohde_schwarz/HMC8042.py

Dominik-Vogel/Qcodes

b4cf7d58bc1bf3be97af6bf48f57cb6b87d588bb

[ "MIT" ]

1

2020-05-03T22:47:40.000Z

from .private.HMC804x import _RohdeSchwarzHMC804x from qcodes.utils.deprecate import deprecate_moved_to_qcd @deprecate_moved_to_qcd(alternative="qcodes_contrib_drivers.drivers.RohdeSchwarz.HMC8042.RohdeSchwarzHMC8042") class RohdeSchwarzHMC8042(_RohdeSchwarzHMC804x): """ This is the qcodes driver for the Rohde & Schwarz HMC8042 Power Supply """ def __init__(self, name, address, **kwargs): super().__init__(name, address, num_channels=2, **kwargs)

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4b5a4dc0a470a6b6a0219e69281685d307bd50e5

465

py

Python

ltc/analyzer/migrations/0006_graphitevariable_function.py

v0devil/jltom

b302a39a187b8e1154c6deda636a4db8b30bb40b

[ "MIT" ]

4

2016-12-30T13:26:59.000Z

2017-04-26T12:07:36.000Z

ltc/analyzer/migrations/0006_graphitevariable_function.py

v0devil/jltom

b302a39a187b8e1154c6deda636a4db8b30bb40b

[ "MIT" ]

null

ltc/analyzer/migrations/0006_graphitevariable_function.py

v0devil/jltom

b302a39a187b8e1154c6deda636a4db8b30bb40b

[ "MIT" ]

null

# Generated by Django 2.2.20 on 2021-05-27 14:53 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('analyzer', '0005_auto_20210526_1755'), ] operations = [ migrations.AddField( model_name='graphitevariable', name='function', field=models.CharField(choices=[('A', 'avg'), ('MA', 'max'), ('MI', 'min')], default='A', max_length=12), ), ]

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18

118

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null

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4b5c74257ca507c7289c021413a4bdff6ed7d6a6

2,865

py

Python

Python/061.py

jaimeliew1/Project_Euler_Solutions

963c9c6d6571cade8f87341f97a6a2cd1af202bb

[ "MIT" ]

null

Python/061.py

jaimeliew1/Project_Euler_Solutions

963c9c6d6571cade8f87341f97a6a2cd1af202bb

[ "MIT" ]

1

2018-04-16T21:01:50.000Z

Python/061.py

jaimeliew1/Project_Euler_Solutions

963c9c6d6571cade8f87341f97a6a2cd1af202bb

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Solution to Project Euler problem X Author: Jaime Liew https://github.com/jaimeliew1/Project_Euler_Solutions """ import math def isTri(n): return ((math.sqrt(1+8*n)-1)/2).is_integer() def isSqr(n): return (math.sqrt(n)).is_integer() def isPent(n): return ((1+math.sqrt(1+24*n))/6).is_integer() def isHex(n): return ((1+math.sqrt(1+8*n))/4).is_integer() def isHept(n): return ((3+math.sqrt(9+40*n))/10).is_integer() def isOct(n): return ((2+math.sqrt(4+12*n))/6).is_integer() isPoly = [isTri, isSqr, isPent, isHex,isHept,isOct] class Jnum: id = 0 #each nth bit is 1 if it is an nGon number n = 0 isMultiPoly = False def __init__(self, num): self.n = num for i in (f(num) for f in isPoly): self.id = (self.id << 1) | i if bin(self.id).count('1') > 1: self.isMultiPoly = True def __eq__(self,other): return self.n == other.n def __ne__(self,other): return self.n != other.n def checkThisSet(thisSet,depth,maxDepth, numSet): for q in (q for q in numSet if q not in thisSet): workingBit = 0 qIsCandidate = True if str(thisSet[-1].n)[2:] == str(q.n)[:2]: #if cyclical workingBit = 0 for i in (thisSet + [q]): if workingBit & (i.id) == 0: workingBit |= (i.id) else: qIsCandidate = False break else: qIsCandidate = False if qIsCandidate: if depth == maxDepth-1: if str(thisSet[0].n)[:2] == str(q.n)[2:]: #if cyclical back to start return list(thisSet + [q]) else: return [Jnum(0)] furtherTesting = checkThisSet(list(thisSet + [q]),depth +1, maxDepth, numSet) if furtherTesting != [Jnum(0)]: return furtherTesting return [Jnum(0)] def run(): ### generate set of possible candidates numSet = [] for i in range(1000, 10000): a = Jnum(i) if a.id != 0: if a.isMultiPoly: temp = a for k, bit in enumerate(bin(a.id)[2:].zfill(6)[::-1]): if bit == '1': temp.id = 1<<k numSet.append(Jnum(a.n)) numSet[-1].id = 1<<k else: numSet.append(a) #print("there are ",len(numSet)," candidate numbers.\n") ### Recursive search loop for i in numSet: currentSet = checkThisSet(list([i]), 1, 6, numSet) if currentSet != [Jnum(0)]: break Sum = 0 for i in currentSet: #print(i.n, bin(i.id)[2:].zfill(6)) Sum += i.n return Sum if __name__ == "__main__": print(run())

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3.689119

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0.089888

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null

0

null

0

1

0

1

4b6108a9e3aec6079aa6d738f5836676b16bd14f

4,195

py

Python

examples/zoomed.py

ColmTalbot/psd-covariance-matrices

59631dd1860e9cf28658df1ce28b10f6f8d59868

[ "MIT" ]

null

examples/zoomed.py

ColmTalbot/psd-covariance-matrices

59631dd1860e9cf28658df1ce28b10f6f8d59868

[ "MIT" ]

null

examples/zoomed.py

ColmTalbot/psd-covariance-matrices

59631dd1860e9cf28658df1ce28b10f6f8d59868

[ "MIT" ]

2

2021-07-01T02:00:10.000Z

2021-08-02T07:29:03.000Z

#!/usr/bin/env python """ Compute the comparison of the analytic and experimental PSD matrices. This will generate Figure 1. This is probably the only example that will run in a reasonable time without a GPU. For more details on the method see https://arxiv.org/abs/2106.13785. """ import numpy as np import matplotlib.pyplot as plt from bilby.core.utils import create_white_noise, create_frequency_series from scipy.signal.windows import tukey from scipy.interpolate import interp1d from tqdm.auto import trange from coarse_psd_matrix.utils import ( compute_psd_matrix, create_parser, fetch_psd_data, ) from coarse_psd_matrix.plotting import plot_psd_matrix from matplotlib import rcParams rcParams["font.family"] = "serif" rcParams["font.serif"] = "Computer Modern Roman" rcParams["font.size"] = 20 rcParams["text.usetex"] = True rcParams["grid.alpha"] = 0 if __name__ == "__main__": parser = create_parser() args = parser.parse_args() interferometer = args.interferometer outdir = args.outdir duration = args.duration medium_duration = args.medium_duration sampling_frequency = args.sampling_frequency low_frequency = args.low_frequency tukey_alpha = args.tukey_alpha minimum_frequency = 480 maximum_frequency = 530 event = args.event data = fetch_psd_data( interferometer_name=interferometer, event=event, duration=duration, sampling_frequency=sampling_frequency, low_frequency=low_frequency, tukey_alpha=tukey_alpha, medium_duration=medium_duration, outdir=outdir, ) svd = compute_psd_matrix( interferometer_name=interferometer, event=event, duration=duration, sampling_frequency=sampling_frequency, low_frequency=low_frequency, tukey_alpha=tukey_alpha, minimum_frequency=minimum_frequency, maximum_frequency=maximum_frequency, medium_duration=medium_duration, outdir=outdir, ) psd = data["medium_psd"][: sampling_frequency // 2 * medium_duration + 1] original_frequencies = create_frequency_series( duration=medium_duration, sampling_frequency=sampling_frequency ) new_frequencies = create_frequency_series( duration=256, sampling_frequency=sampling_frequency ) psd = interp1d(original_frequencies, psd)(new_frequencies) short_window = tukey(duration * sampling_frequency, tukey_alpha) short_window /= np.mean(short_window ** 2) ** 0.5 analytic_psd_matrix = (svd[0] * svd[1]) @ svd[2] estimated_psd_matrix = np.zeros_like(analytic_psd_matrix) nfft = duration * sampling_frequency start_idx = minimum_frequency * duration stop_idx = maximum_frequency * duration n_average = 1024 * 1024 // 64 for _ in trange(n_average): white_noise, frequencies = create_white_noise( sampling_frequency=2048, duration=256 ) coloured_noise = white_noise * psd ** 0.5 td_noise = np.fft.irfft(coloured_noise).reshape((-1, nfft)) fd_noise = np.fft.rfft(td_noise * short_window) reduced_noise = fd_noise[:, start_idx : stop_idx + 1] estimated_psd_matrix += np.einsum( "ki,kj->ij", reduced_noise, reduced_noise.conjugate() ) / 2 total_averages = n_average * len(reduced_noise) estimated_psd_matrix /= total_averages rcParams["font.family"] = "serif" rcParams["font.serif"] = "Computer Modern Roman" rcParams["font.size"] = 20 rcParams["text.usetex"] = True rcParams["grid.alpha"] = 0 fig, axes = plt.subplots(nrows=2, figsize=(10, 16)) kwargs = dict( minimum_frequency=minimum_frequency, maximum_frequency=maximum_frequency, duration=duration, vmin=-53, vmax=-41.8, tick_step=10, ) plot_psd_matrix(estimated_psd_matrix, axes[0], **kwargs) plot_psd_matrix(analytic_psd_matrix, axes[1], **kwargs) axes[0].text(-25, 190, "(a)") axes[1].text(-25, 190, "(b)") plt.tight_layout() plt.savefig(f"{outdir}/zoom_{tukey_alpha}.pdf") if tukey_alpha == 0.1: plt.savefig("figure_1.pdf") plt.close()

32.269231

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0.048938

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null

0

1

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null

0

1

4b624ab13f54c8cfd7032b48000491920f6d9a27

5,581

py

Python

web_spider/web_spider/pipelines.py

syun0216/simple_ci

83d31cb04357fe0bd428ab8f09c2db81a06eb723

[ "MIT" ]

null

web_spider/web_spider/pipelines.py

syun0216/simple_ci

83d31cb04357fe0bd428ab8f09c2db81a06eb723

[ "MIT" ]

null

web_spider/web_spider/pipelines.py

syun0216/simple_ci

83d31cb04357fe0bd428ab8f09c2db81a06eb723

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymysql class WebSpiderPipeline(object): def init_insert_db(self,key,table_name): pass def process_item(self, item, spider): # print(item['name']) connection = pymysql.connect(host='127.0.0.1', user='root', password='123456', db='mydb', charset='utf8mb4', cursorclass=pymysql.cursors.DictCursor) try: with connection.cursor() as cursor: # Create a new record if item['type'] == 'toutiao': insert_sql = """INSERT INTO `dongqiudi` (`id`, `name`,`url`,`time`,`comment`,`image`) VALUES (%s, %s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE id=VALUES(id), name=VALUES(name), url=VALUES (url), time=VALUES (time), comment=VALUES (comment), image=VALUES (image)""" cursor.execute(insert_sql, (item['id'], item['name'], item['url'], item['time'], item['comment'], item['image'])) elif item['type'] == 'rank': insert_sql = """INSERT INTO `rank` (`rank`,`team_avatar`,`team_name`,`round`,`win`,`draw`,`lost`,`goal`,`fumble`,`GD`,`integral`,`rel`,`rel_name`) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE rank=VALUES (rank), team_avatar=VALUES (team_avatar), team_name=VALUES (team_name), round=VALUES (round), win=VALUES (win), draw=VALUES (draw), lost=VALUES (lost), goal=VALUES (goal), fumble=VALUES (fumble), GD=VALUES (GD), integral=VALUES (integral), rel=VALUES (rel), rel_name=VALUES (rel_name) """ cursor.execute(insert_sql, (item['rank'], item['team_avatar'], item['team_name'], item['round'], item['win'], item['draw'],item['lost'],item['goal'],item['fumble'],item['GD'],item['integral'],item['rel'],item['rel_name'])) elif item['type'] == 'goal': insert_sql = """INSERT INTO `player_goal_rank` (`rank`,`data`,`player_avatar`,`player_name`,`team_avatar`,`team_name`,`rel`,`rel_name`) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE rank=VALUES (rank), data=VALUES (data), player_avatar=VALUES (player_avatar), player_name=VALUES (player_name), team_avatar=VALUES (team_avatar), team_name=VALUES (team_name), rel=VALUES (rel), rel_name=VALUES (rel_name) """ cursor.execute(insert_sql, (item['rank'], item['data'], item['player_avatar'], item['player_name'],item['team_avatar'], item['team_name'], item['rel'], item['rel_name'])) elif item['type'] == 'assist': insert_sql = """INSERT INTO `player_assist_rank` (`rank`,`data`,`player_avatar`,`player_name`,`team_avatar`,`team_name`,`rel`,`rel_name`) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE rank=VALUES (rank), data=VALUES (data), player_avatar=VALUES (player_avatar), player_name=VALUES (player_name), team_avatar=VALUES (team_avatar), team_name=VALUES (team_name), rel=VALUES (rel), rel_name=VALUES (rel_name) """ cursor.execute(insert_sql, (item['rank'], item['data'], item['player_avatar'], item['player_name'],item['team_avatar'], item['team_name'], item['rel'], item['rel_name'])) # connection is not autocommit by default. So you must commit to save # your changes. connection.commit() finally: connection.close() pass

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0

null

0

1

0

null

0

1

4b6b2b2466b7f50264d915b0b9ab9925c879719e

587

py

Python

kora/install/blender.py

wannaphong/kora

8a9034097d07b14094e077769c02a0b4857d179b

[ "MIT" ]

91

2020-05-26T05:54:51.000Z

2022-03-09T07:33:44.000Z

kora/install/blender.py

wannaphong/kora

8a9034097d07b14094e077769c02a0b4857d179b

[ "MIT" ]

12

2020-10-03T10:09:11.000Z

2021-03-06T23:12:21.000Z

kora/install/blender.py

wannaphong/kora

8a9034097d07b14094e077769c02a0b4857d179b

[ "MIT" ]

16

2020-07-07T18:39:29.000Z

2021-03-06T03:46:49.000Z

import os from IPython import get_ipython # need this fix first os.environ["LD_PRELOAD"] = "" os.system("apt remove libtcmalloc-minimal4") os.system("apt install libtcmalloc-minimal4") os.environ["LD_PRELOAD"] = "/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4.3.0" os.system("dpkg -L libtcmalloc-minimal4") # then install blender url = "https://download.blender.org/release/Blender2.83/blender-2.83.0-linux64.tar.xz" os.system(f"curl {url} | tar xJ") os.system("ln -s /content/blender-2.83.0-linux64/blender /usr/local/bin/blender") # show result get_ipython().system("blender -v")

36.6875

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16

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0

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false

0

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0.181818

0

null

0

1

0

null

0

1

4b6cb29835a30f52c4bb14e8a53ca4a8d4a5cdb7

2,352

py

Python

parks/models.py

ExpertOfNone/expert_of_none

9ff4e4279a570712766546122c014c754f753485

[ "MIT" ]

null

parks/models.py

ExpertOfNone/expert_of_none

9ff4e4279a570712766546122c014c754f753485

[ "MIT" ]

null

parks/models.py

ExpertOfNone/expert_of_none

9ff4e4279a570712766546122c014c754f753485

[ "MIT" ]

null

from django.db import models from django_countries.fields import CountryField from localflavor.us.models import USStateField from base.models import EONBaseModel class Amenity(EONBaseModel): """Common amenities, i.e. Pool, Lake, Hiking Trail, Primitive Camping, etc.""" name = models.CharField(max_length=50) code = models.CharField(max_length=5) description = models.TextField(null=True, blank=True) def __str__(self): return self.name class Park(EONBaseModel): """General Park Information Utilized for Reference""" PARK_TYPE_STATE = 'state' PARK_TYPE_NATIONAL = 'national' PARK_TYPE_CITY = 'city' PARK_TYPE_OTHER = 'other' PARK_TYPE_CHOICES = ( (PARK_TYPE_STATE, 'State'), (PARK_TYPE_NATIONAL, 'National'), (PARK_TYPE_CITY, 'City'), (PARK_TYPE_OTHER, 'Other') ) park_type = models.CharField(max_length=20, choices=PARK_TYPE_CHOICES) name = models.CharField(max_length=100) description = models.TextField(null=True, blank=True) photos = models.ManyToManyField('base.Photo', through='ParkPhoto') address_one = models.CharField(max_length=50) address_two = models.CharField(max_length=50, null=True, blank=True) city = models.CharField(max_length=50) state = USStateField(blank=True, null=True) country = CountryField() postal_code = models.CharField(blank=True, null=True, max_length=20) amenities = models.ManyToManyField(Amenity, through='ParkAmenity') topic = models.ForeignKey('base.Topic', on_delete=models.SET_NULL, null=True) def __str__(self): return '{name} - {park_type}'.format( name=self.name, park_type=self.get_park_type_display(), ) class ParkAmenity(EONBaseModel): park = models.ForeignKey(Park, on_delete=models.CASCADE) amenity = models.ForeignKey(Amenity, on_delete=models.CASCADE) additional_info = models.TextField(blank=True) class ParkPhoto(EONBaseModel): photo = models.ForeignKey('base.Photo', on_delete=models.CASCADE, related_name='park_photos') park = models.ForeignKey(Park, on_delete=models.DO_NOTHING, related_name='park_photos') def __str__(self): return '{park_name} - Photo:{photo_name}'.format( park_name=self.park.name, photo_name=self.photo.name, )

31.36

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5.487889

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0.105927

0.31652

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0.105927

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98

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false

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0.78

0

null

0

null

0

1

0

1

4b6d6ef8de7836397b32a70984d9c9488bd0f64f

3,891

py

Python

roomfinder_dispo/roomfinder_dispo/dispo.py

GuillaumeMorini/roomfinder

d756bba6e50a7361ecf9cf529af4a1775a0e836b

[ "Apache-2.0" ]

14

2017-01-23T02:58:53.000Z

2020-12-21T14:05:07.000Z

roomfinder_dispo/roomfinder_dispo/dispo.py

GuillaumeMorini/roomfinder

d756bba6e50a7361ecf9cf529af4a1775a0e836b

[ "Apache-2.0" ]

2

2017-01-23T09:46:54.000Z

2017-09-11T10:15:07.000Z

roomfinder_dispo/roomfinder_dispo/dispo.py

GuillaumeMorini/roomfinder

d756bba6e50a7361ecf9cf529af4a1775a0e836b

[ "Apache-2.0" ]

9

2017-01-23T02:55:27.000Z

2020-05-20T18:38:18.000Z

#!/usr/bin/env python2.7 import sys reload(sys) sys.setdefaultencoding("utf-8") from flask import Flask, render_template, request, jsonify import argparse import datetime import os, sys import requests from socket import error as SocketError import errno import json import pika import uuid app = Flask(__name__) @app.route("/book", methods=["GET"]) def book(): starttime=request.args.get('starttime', '') endtime=request.args.get('endtime', '') user_name=request.args.get('user_name', '') user_email=request.args.get('user_email', '') room_name=request.args.get('room_name', '') if starttime is None or endtime is None or user_name is None or user_email is None or room_name is None: return "no parameter provided to book request\n" data = { "cmd": "book", "data": {"starttime": starttime, "endtime": endtime, "user_name": user_name, "user_email": user_email, "room_name": room_name} } message = json.dumps(data) return send_message_to_queue(message) @app.route("/dispo", methods=["GET"]) def dispo(): key=request.args.get('key', '') sys.stderr.write( "key: "+str(key)+'\r\n') if key is not None and str(key) is not "": data = { "cmd": "dispo", "data": {"key": key} } message = json.dumps(data) return send_message_to_queue(message) return "no parameter provided to dispo request\n" def on_response(ch, method, props, body): global corr_id global response if corr_id == props.correlation_id: response = body def send_message_to_queue(message): global corr_id global response global connection global channel global callback_queue response=None connection = pika.BlockingConnection(pika.ConnectionParameters(host=rabbitmq,port=int(rabbitmq_port),heartbeat_interval=30)) channel = connection.channel() result=channel.queue_declare(exclusive=True) callback_queue = result.method.queue channel.basic_consume(on_response, no_ack=True, queue=callback_queue) corr_id=str(uuid.uuid4()) response = None corr_id = str(uuid.uuid4()) channel.basic_publish( exchange='', routing_key="rpc_queue", properties=pika.BasicProperties( reply_to = callback_queue, correlation_id = corr_id), body=message) print(" [x] Sent data to RabbitMQ") while response is None: connection.process_data_events() print(" [x] Get response from RabbitMQ") print "response: "+str(response) return response if __name__ == '__main__': from argparse import ArgumentParser parser = ArgumentParser("Room Finder Dispo Service") parser.add_argument("-r","--rabbitmq", help="IP or hostname for rabbitmq server, e.g. 'rabbit.domain.com'.") parser.add_argument("-p","--port", help="tcp port for rabitmq server, e.g. '2765'.") args = parser.parse_args() rabbitmq = args.rabbitmq if (rabbitmq == None): rabbitmq = os.getenv("roomfinder_rabbitmq_server") if (rabbitmq == None): get_rabbitmq_server = raw_input("What is the rabbitmq server IP or hostname? ") rabbitmq = get_rabbitmq_server rabbitmq_port = args.port if (rabbitmq_port == None): rabbitmq_port = os.getenv("roomfinder_rabbitmq_port") if (rabbitmq_port == None): get_rabbitmq_port = raw_input("What is the rabbitmq TCP port? ") rabbitmq_port = get_rabbitmq_port try: app.run(host='0.0.0.0', port=int("5000")) except: try: app.run(host='0.0.0.0', port=int("5000")) except: print "Dispo web services error"

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0

null

0

null

0

1

0

1

4b7d6c918015930582e1fb1d514d24f1d777be05

1,411

py

Python

molecool_test/tests/test_molecule.py

radifar/molecool_test

9e0027656d6f68d2efd9cdf8f24872b4bcea6cb9

[ "BSD-3-Clause" ]

null

molecool_test/tests/test_molecule.py

radifar/molecool_test

9e0027656d6f68d2efd9cdf8f24872b4bcea6cb9

[ "BSD-3-Clause" ]

null

molecool_test/tests/test_molecule.py

radifar/molecool_test

9e0027656d6f68d2efd9cdf8f24872b4bcea6cb9

[ "BSD-3-Clause" ]

null

import numpy as np import pytest import molecool_test @pytest.fixture def methane_molecule(): symbols = np.array(['C', 'H', 'H', 'H', 'H']) coordinates = np.array([ [1, 1, 1], [2.4, 1, 1], [-0.4, 1, 1], [1, 1, 2.4], [1, 1, -0.4], ]) return symbols, coordinates def test_move_methane(methane_molecule): symbols, coordinates = methane_molecule coordinates[0] += 5 def test_build_bond_list(methane_molecule): symbols, coordinates = methane_molecule bonds = molecool_test.build_bond_list(coordinates) assert len(bonds) == 4 for bond_length in bonds.values(): assert bond_length == 1.4 def test_build_bond_failure(methane_molecule): symbols, coordinates = methane_molecule with pytest.raises(ValueError): bonds = molecool_test.build_bond_list(coordinates, min_bond=-1) def test_molecular_mass(methane_molecule): symbols, coordinates = methane_molecule calculated_mass = molecool_test.calculate_molecular_mass(symbols) actual_mass = 16.04 assert pytest.approx(actual_mass, abs=1e-2) == calculated_mass def test_center_of_mass(methane_molecule): symbols, coordinates = methane_molecule center_of_mass = molecool_test.calculate_center_of_mass(symbols, coordinates) expected_center = np.array([1,1,1]) assert np.array_equal(center_of_mass, expected_center)

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null

0

1

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null

0

1

4b7fc93c2e30ca54b02519e2a781a191d7e736a1

6,705

py

Python

pochta/tracking.py

john-phonk/fs-pochta-api

c3b7df4ecdbfc45fb482cedd8ab6c2927e0a1c9d

[ "MIT" ]

16

2019-05-13T01:12:10.000Z

2022-01-17T06:21:35.000Z

pochta/tracking.py

john-phonk/fs-pochta-api

c3b7df4ecdbfc45fb482cedd8ab6c2927e0a1c9d

[ "MIT" ]

4

2020-03-06T06:46:35.000Z

2020-11-22T04:24:34.000Z

pochta/tracking.py

john-phonk/fs-pochta-api

c3b7df4ecdbfc45fb482cedd8ab6c2927e0a1c9d

[ "MIT" ]

6

2019-08-10T13:18:21.000Z

2021-11-25T08:57:30.000Z

from abc import ABC from typing import List from zeep import CachingClient, Client, Settings from .exceptions import APIError class _BaseClient(ABC): """API клиент сервиса отслеживания посылок. https://tracking.pochta.ru/specification """ WSDL = '' def __init__(self, login: str, password: str, caching=True): """Инициализация API клиента сервиса отслеживания посылок. :param login: Логин от системы трекинга :param password: Пароль от системы трекинга :param caching: Флаг, позволяющий отключить кэширование в zeep """ self._login = login self._password = password zeep_client = CachingClient if caching else Client self._client = zeep_client( self.WSDL, settings=Settings(strict=False), ) class SingleTracker(_BaseClient): """Клиент для взаимодеействия с API единичной обработки запросов.""" WSDL = 'https://tracking.russianpost.ru/rtm34?wsdl' def get_history(self, barcode: str) -> dict: """ История операций над отправлением. Метод getOperationHistory используется для получения информации о конкретном отправлении. Метод возвращает подробную информацию по всем операциям, совершенным над отправлением. https://tracking.pochta.ru/specification#getOperationHistory :param barcode: Идентификатор регистрируемого почтового отправления в одном из форматов: - внутрироссийский, состоящий из 14 символов (цифровой) - международный, состоящий из 13 символов (буквенно-цифровой) в формате S10. :return: Ответ метода getOperationHistory содержит список элементов historyRecord. Каждый из них содержит информацию об одной операции над отправлением. Если над отправлением еще не зарегистрировано ни одной операции, то возвращается пустой список элементов historyRecord. """ return self._client.service.getOperationHistory( OperationHistoryRequest={ 'Barcode': barcode, 'MessageType': '0' }, AuthorizationHeader={ 'login': self._login, 'password': self._password, }, ) def get_order_events_for_mail(self, barcode: str) -> dict: """ История операций с наложенным платежом. Метод PostalOrderEventsForMail позволяет получить информацию об операциях с наложенным платежом, который связан с конкретным почтовым отправлением. https://tracking.pochta.ru/specification#PostalOrderEventsForMail :param barcode: Идентификатор регистрируемого почтового отправления в одном из форматов: - внутрироссийский, состоящий из 14 символов (цифровой); - международный, состоящий из 13 символов (буквенно-цифровой) в формате S10. :return: Список событий """ return self._client.service.PostalOrderEventsForMail( PostalOrderEventsForMailInput={ 'Barcode': barcode, }, AuthorizationHeader={ 'login': self._login, 'password': self._password, }, ) class BatchTracker(_BaseClient): """Клиент для взаимодеействия с API пакетной обработки запросов.""" WSDL = 'https://tracking.russianpost.ru/fc?wsdl' def get_ticket(self, barcodes: List[str]) -> str: """Получения билета на подготовку информации по списку идентификаторов отправлений. Метод getTicket используется для получения билета на подготовку информации по списку идентификаторов отправлений. В запросе передается список идентификаторов отправлений. При успешном вызове метод возвращает идентификатор билета. Ограничения и рекомендации по использованию: - Количество идентификаторов отправлений в одном запросе не должно превышать *3000*. - Рекомендуется выполнять первое обращение за ответом по билету не ранее, чем через 15 минут от момента выдачи билета. - В случае неготовности результата повторные обращения по тому же билету следует выполнять не чаще, чем 1 раз в 15 минут - Время хранения ответа по билету в Сервисе отслеживания составляет 32 часа. По истечении этого периода ответ удаляется. https://tracking.pochta.ru/specification раздел "Пакетная обработка" п.3 :param barcodes: Идентификаторы регистрируемых почтовогых отправлений в одном из форматов: - внутрироссийский, состоящий из 14 символов (цифровой) - международный, состоящий из 13 символов (буквенно-цифровой) в формате S10. :return: Ответ метода getTicket содержит информацию о выданном билете в объекте ticketResponse в случае успешного запроса, функция возвращает номер созданного ticket, полученного из ticketResponse.value """ # По умолчанию zeep генерирует Request старой версии, # где запрос отправляется в виде файла с метаданными # Поэтому, вручную создаём объект Request и убираем аттрибуты, относящиеся к файлу request = self._client.get_type('{http://fclient.russianpost.org}file') request.attributes.clear() items = [{'Barcode': barcode} for barcode in barcodes] response = self._client.service.getTicket( request=request(Item=items), login=self._login, password=self._password, language='RUS', ) if response['error'] is not None: raise APIError(f'Response body contains error: {response["error"]}') return response['value'] def get_response_by_ticket(self, ticket: str) -> List[dict]: """Метод используется для получения информации об отправлениях по ранее полученному билету. Вызывает метод answerByTicketRequest используемый для получения информации об отправлениях по ранее полученному билету. https://tracking.pochta.ru/specification раздел "Пакетная обработка" п.4 :param ticket: Строка, содержащая номер ticket, полученного ранее при вызове getTicket :return: Результаты пакетной обработки в виде списка словарей, содержащих результаты выполнения запроса на пакетную обработку """ response = self._client.service.getResponseByTicket( ticket=ticket, login=self._login, password=self._password, ) if response['error'] is not None: raise APIError(f'Response body contains error: {response["error"]}') return response['value']['Item']

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0

null

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null

0

1

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1

4b91ba97fda9b2ee93796afb30a9ecc697c21159

1,205

py

Python

script.module.placenta/lib/resources/lib/modules/thexem.py

parser4life/tantrumrepo

3b37145f4772409e538cbddb0b7aa23be525772a

[ "Beerware" ]

1

2021-05-09T19:55:51.000Z

script.module.placenta/lib/resources/lib/modules/thexem.py

parser4life/tantrumrepo

3b37145f4772409e538cbddb0b7aa23be525772a

[ "Beerware" ]

null

script.module.placenta/lib/resources/lib/modules/thexem.py

parser4life/tantrumrepo

3b37145f4772409e538cbddb0b7aa23be525772a

[ "Beerware" ]

2

2020-04-01T22:11:12.000Z

2020-05-07T23:54:52.000Z

# -*- coding: UTF-8 -*- ####################################################################### # ---------------------------------------------------------------------------- # "THE BEER-WARE LICENSE" (Revision 42): # @tantrumdev wrote this file. As long as you retain this notice you # can do whatever you want with this stuff. If we meet some day, and you think # this stuff is worth it, you can buy me a beer in return. - Muad'Dib # ---------------------------------------------------------------------------- ####################################################################### # Addon Name: Placenta # Addon id: plugin.video.placenta # Addon Provider: MuadDib import json from resources.lib.modules import client URL_PATTERN = 'http://thexem.de/map/single?id=%s&origin=tvdb&season=%s&episode=%s&destination=scene' def get_scene_episode_number(tvdbid, season, episode): try: url = URL_PATTERN % (tvdbid, season, episode) r = client.request(url) r = json.loads(r) if r['result'] == 'success': data = r['data']['scene'] return data['season'], data['episode'] except: pass return season, episode

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null

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null

0

1

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1

4b9490ebcc233667c0f331f949a3dfce27be8b1f

8,723

py

Python

hirebob/portal/forms.py

shantanub0/hirebob

5a55e97c6e220059964fbb55439b0189abae1307

[ "MIT" ]

null

hirebob/portal/forms.py

shantanub0/hirebob

5a55e97c6e220059964fbb55439b0189abae1307

[ "MIT" ]

1

2018-06-23T01:20:26.000Z

2018-06-25T21:49:17.000Z

hirebob/portal/forms.py

shantanub0/hirebob

5a55e97c6e220059964fbb55439b0189abae1307

[ "MIT" ]

1

2018-06-14T12:11:59.000Z

from django import forms from .models import UserAccount, JobPost, JobPostActivity, UserProfile class FormUserCreation(forms.ModelForm): UserTypes = ((1, 'Applicants'), (2, 'Organisations')) user_type = forms.ChoiceField(choices=UserTypes, widget=forms.Select(attrs={'class': "form-control"})) user_full_name = forms.CharField(max_length=100, widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Full Name'})) email = forms.EmailField(max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID'})) password = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'type': 'password', 'placeholder': 'Enter Password', 'minlength': '6', 'onkeyup': 'check();'})) confirm_password = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'type': 'password', 'placeholder': 'Re-enter Password', 'minlength': '6', 'onkeyup': 'check();'})) class Meta: model = UserAccount fields = ('user_type', 'user_full_name', 'email', 'password') class FormLogin(forms.ModelForm): email = forms.EmailField(max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID'})) password = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'type': 'password', 'placeholder': 'Enter Password', 'minlength': '6'})) class Meta: model = UserAccount fields = ('email', 'password') class FormJobPost(forms.ModelForm): Locations = (('Mumbai', 'Mumbai'), ('Navi Mumbai', 'Navi Mumbai'), ('Pune', 'Pune')) job_types = (('Software Engineer', 'Software Engineer'), ('Database Admin', 'Database Admin'), ('DevOps', 'DevOps')) jobs_skill = (('Java', 'Java'), ('Python', 'Python'), ('C', 'C'), ('C++', 'C++')) job_location = forms.ChoiceField(choices=Locations, widget=forms.Select(attrs={'class': "form-control"})) job_type = forms.ChoiceField(choices=job_types, widget=forms.Select(attrs={'class': "form-control"})) job_skills = forms.ChoiceField(choices=jobs_skill, widget=forms.Select(attrs={'class': "form-control"})) job_title = forms.CharField(max_length=100, required=True, widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter job title'})) posted_by_email = forms.EmailField(max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID', 'readonly': True})) job_description = forms.CharField(widget=forms.Textarea(attrs={'class': "form-control", 'placeholder': 'Enter Job Description'})) class Meta: model = JobPost fields = ('job_type', 'job_skills', 'job_location', 'posted_by_email', 'job_description', 'job_title') class FormApply(forms.ModelForm): email = forms.EmailField(required=True, max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID', 'readonly': True})) to_email = forms.EmailField(required=True, max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID', 'readonly': True})) cover_letter = forms.CharField(required=True, widget=forms.Textarea(attrs={'class': "form-control", 'placeholder': 'Cover Letter'})) post_id = forms.IntegerField(required=True, widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Post ID', 'readonly': True})) job_title = forms.CharField(required=True, widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Job Title'})) class Meta: model = JobPostActivity fields = ('email', 'post_id') class FormUploadImage(forms.Form): user_image = forms.ImageField(widget=forms.FileInput()) class Meta: model = UserAccount fields = ('user_image', ) class FormUploadResume(forms.Form): resume = forms.FileField() class Meta: model = UserAccount fields = ('resume', ) class FormApplicantsInfo(forms.Form): Gender = (('Male', 'Male'), ('Female', 'Female'), ('None', 'None')) gender = forms.ChoiceField(choices=Gender, widget=forms.Select(attrs={'class': "form-control"})) email = forms.EmailField(max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Email ID', 'readonly': True})) gmail = forms.EmailField(max_length=250, help_text="Required. Invalid format", widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter gmail id'})) linkedin = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Linkedin profile'})) skype_id = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter skype id'})) about_me = forms.CharField(widget=forms.Textarea(attrs={'class': "form-control", 'placeholder': 'Enter About you'})) address = forms.CharField(widget=forms.Textarea(attrs={'class': "form-control", 'placeholder': 'Enter your address'})) birthday = forms.DateField(widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter DOB in DD-MM-YYYY'})) job_title = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Job Title'})) location = forms.CharField(widget=forms.TextInput(attrs={'class': "form-control", 'placeholder': 'Enter Your location'})) class Meta: model = UserProfile fields = ('email', 'gmail', 'linkedin', 'skype_id', 'about_me', 'address', 'birthday', 'job_title', 'location', 'gender')

56.642857

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null

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null

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1

4b996a561c6739777af3fa1902cca7e146f0eeaf

687

py

Python

TianJiPlanBackend/authentication/migrations/0002_auto_20210912_0929.py

weridolin/tianji-plan

b98a49d92ee2a365095f9e15f4231f5178aca1c0

[ "Apache-2.0" ]

null

TianJiPlanBackend/authentication/migrations/0002_auto_20210912_0929.py

weridolin/tianji-plan

b98a49d92ee2a365095f9e15f4231f5178aca1c0

[ "Apache-2.0" ]

null

TianJiPlanBackend/authentication/migrations/0002_auto_20210912_0929.py

weridolin/tianji-plan

b98a49d92ee2a365095f9e15f4231f5178aca1c0

[ "Apache-2.0" ]

1

2021-12-07T11:45:13.000Z

# Generated by Django 3.2.7 on 2021-09-12 01:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('authentication', '0001_initial'), ] operations = [ migrations.AddField( model_name='userprofile', name='mail', field=models.EmailField(blank=True, db_index=True, max_length=127, null=True, unique=True, verbose_name='电话'), ), migrations.AlterField( model_name='userprofile', name='telephone', field=models.CharField(blank=True, db_index=True, max_length=127, null=True, unique=True, verbose_name='电话'), ), ]

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null

0

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null

0

1

4b9af91c0efeb81facf6d27474553a4bb9a6505d

2,025

py

Python

tests/unit_tests/tasks/fortran/test_fortran_compiler.py

bblay/fab

bbdac7bae20c5b8695a2d56945c9593b4fda9c74

[ "BSD-3-Clause" ]

null

tests/unit_tests/tasks/fortran/test_fortran_compiler.py

bblay/fab

bbdac7bae20c5b8695a2d56945c9593b4fda9c74

[ "BSD-3-Clause" ]

null

tests/unit_tests/tasks/fortran/test_fortran_compiler.py

bblay/fab

bbdac7bae20c5b8695a2d56945c9593b4fda9c74

[ "BSD-3-Clause" ]

null

from pathlib import Path from unittest import mock import pytest from fab.build_config import AddFlags from fab.dep_tree import AnalysedFile from fab.steps.compile_fortran import CompileFortran # todo: we might have liked to reuse this from test_dep_tree from fab.util import CompiledFile @pytest.fixture def src_tree(): return { Path('src/foo.f90'): AnalysedFile(fpath=Path('src/foo.f90'), file_hash=None), Path('src/root.f90'): AnalysedFile( fpath=Path('src/root.f90'), file_deps={Path('src/a.f90'), Path('src/b.f90')}, file_hash=None), Path('src/a.f90'): AnalysedFile(fpath=Path('src/a.f90'), file_deps={Path('src/c.f90')}, file_hash=None), Path('src/b.f90'): AnalysedFile(fpath=Path('src/b.f90'), file_deps={Path('src/c.f90')}, file_hash=None), Path('src/c.f90'): AnalysedFile(fpath=Path('src/c.f90'), file_deps=set(), file_hash=None), } class Test_run(object): # todo: almost identical to the c compiler test def test_vanilla(self, src_tree): # ensure the compile passes match the build tree config = mock.Mock(workspace=Path('foo/src'), multiprocessing=False) c_compiler = CompileFortran( compiler='gcc', common_flags=['-c'], path_flags=[AddFlags(match='foo/src/*', flags=['-Dhello'])]) def foo(items, func): return [CompiledFile(af, output_fpath=None) for af in items] with mock.patch('fab.steps.Step.run_mp', side_effect=foo) as mock_run_mp: c_compiler.run(artefact_store={'build_tree': src_tree}, config=config) # 1st pass mock_run_mp.assert_any_call( items={src_tree[Path('src/foo.f90')], src_tree[Path('src/c.f90')]}, func=mock.ANY) # 2nd pass mock_run_mp.assert_any_call( items={src_tree[Path('src/a.f90')], src_tree[Path('src/b.f90')]}, func=mock.ANY) # last pass mock_run_mp.assert_called_with(items={src_tree[Path('src/root.f90')]}, func=mock.ANY)

38.942308

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0.651852

299

2,025

4.257525

0.29097

0.104478

0.078555

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0.35978

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0

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2,025

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0.096774

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0.225806

0.064516

0.419355

0

null

0

null

0

1

0

1

4ba4c531fc5b73ca047fb0191f3bbb5ca13cf62d

209

py

Python

udacity/cloud-native-application-architecture/3-message-passing/lesson-3-implementing-message-passing/kafka-python-demo/producer.py

thomasrobertz/mooc

cb87365bfcbe8ccf972f36d70a251c73b3c15a7b

[ "MIT" ]

null

udacity/cloud-native-application-architecture/3-message-passing/lesson-3-implementing-message-passing/kafka-python-demo/producer.py

thomasrobertz/mooc

cb87365bfcbe8ccf972f36d70a251c73b3c15a7b

[ "MIT" ]

13

2021-12-14T20:59:34.000Z

2022-03-02T11:09:34.000Z

udacity/cloud-native-application-architecture/3-message-passing/lesson-3-implementing-message-passing/kafka-python-demo/producer.py

thomasrobertz/mooc

cb87365bfcbe8ccf972f36d70a251c73b3c15a7b

[ "MIT" ]

1

2020-08-20T12:53:43.000Z

from kafka import KafkaProducer TOPIC_NAME = 'items' KAFKA_SERVER = 'localhost:9092' producer = KafkaProducer(bootstrap_servers=KAFKA_SERVER) producer.send(TOPIC_NAME, b'Test Message!!!') producer.flush()

19

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0

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1

0

null

0

null

0

1

4ba61c47eb12a3d8f57c257b4b752059384399df

6,948

py

Python

plot_curve.py

wenhuchen/Hierarchical-DSA

2dbdacde25ee82c9d42fe980694673d285b1f7f3

[ "MIT" ]

45

2019-02-27T02:04:08.000Z

2022-03-21T04:49:22.000Z

plot_curve.py

wenhuchen/Hierarchical-DSA

2dbdacde25ee82c9d42fe980694673d285b1f7f3

[ "MIT" ]

2

2019-08-18T03:05:11.000Z

2020-07-26T13:45:05.000Z

plot_curve.py

wenhuchen/Hierarchical-DSA

2dbdacde25ee82c9d42fe980694673d285b1f7f3

[ "MIT" ]

4

2019-03-12T17:40:12.000Z

2021-06-10T07:59:39.000Z

import matplotlib.pyplot as plt import numpy as np import math import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit import json from scipy.interpolate import interp1d from data_utils import * def integral(y, x): area = 0 for xi, xj, yi, yj in zip(x[:-1], x[1:], y[:-1], y[1:]): area += (yi + yj) / 2 * abs(xj - xi) return area def preprocess(x): #x = [math.log10(_) for _ in x] x = [_/float(max(x)) for _ in x] return x def func(y, x, y_int): for y1, y2, x1, x2 in zip(y[:-1], y[1:], x[:-1], x[1:]): if y_int == y1: return x1 elif y_int == y2: return x2 elif y_int > y1 and y_int < y2: x_int = (y_int - y1) / (y2 - y1) * (x2 - x1) + x1 return x_int def draw_curve(): x = [1, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 40000] y_mean = [13.3, 29.6, 33.9, 43.8, 50.81, 67.7, 75.6, 81.5, 91.4, 95.6] plt.plot(x, y_mean, 'black') #plt.fill(x + x[::-1], y_mean + [95.6] * len(y_min), '#f4df42', alpha=.5, ec='None') plt.fill(x + x[::-1], [0] * len(y_mean) + y_mean[::-1], '#0099ff', alpha=.5, ec='None') plt.xlabel("Vocab") plt.xscale('log') plt.xlim(left=0) plt.ylim(ymin=0) plt.ylabel("Accuracy") #plt.show() plt.savefig("metrics.eps", dpi=1000, format='eps') #draw_curve() def draw_uncerntainy_curve(): x = [0, 100, 200, 500, 1000, 2000, 5000, 10000] y_max = [13.3, 51.2, 67.5, 80.4, 85.1, 87.5, 90.5, 91.4] y_mean = [13.3, 29.6, 33.9, 43.9, 50.81, 67.7, 81.5, 91.4] y_min = [13.3, 25.6, 27, 35.1, 42.4, 56, 74.1, 91.4] plt.plot(x, y_mean, 'black', label="Mean Accuracy Curve") plt.plot(x, y_min, 'black', label="Lower Accuracy Curve") plt.plot(x, y_max, 'black', label="Upper Accuracy Curve") #plt.plot(X, y, 'r.', markersize=10, label=u'Observations') #plt.plot(x, y_pred, 'b-', label=u'Prediction') plt.fill(x + x[::-1], y_min + y_max[::-1], '#0099ff', alpha=.5, ec='None', label='Accuracy Range') plt.legend(loc='lower right', prop={'size':14}) plt.xlim(left=0) plt.xlabel("Vocab") plt.ylabel("Accuracy") plt.savefig("accuracy_curve.eps", dpi=1000, format='eps') #plt.show() #plt.fill(np.concatenate([x, x[::-1]]), # np.concatenate([y_pred - 1.9600 * sigma, # (y_pred + 1.9600 * sigma)[::-1]]), # alpha=.5, fc='b', ec='None', label='95% confidence interval') #draw_uncerntainy_curve() def draw_SLU_uncerntainy_curve(): x = [0, 7, 27, 77, 100, 1778, 5134, 10000] x = [str(_) for _ in x] y_max = [13.3, 48.8, 81.3, 92.0, 94.0, 95.3, 95.8, 96.1] y_mean = [13.3, 33.4, 54.3, 77.4, 88.9, 93.5, 94.2, 96.1] y_min = [13.3, 14.2, 33.2, 46.8, 72.8, 88.4, 92.3, 96.1] plt.plot(x, y_mean, color='black', label="Mean Accuracy Curve") plt.plot(x, y_min, color='black', label="Lower Accuracy Curve") plt.plot(x, y_max, color='black', label="Upper Accuracy Curve") #plt.plot(X, y, 'r.', markersize=10, label=u'Observations') #plt.plot(x, y_pred, 'b-', label=u'Prediction') plt.fill(x + x[::-1], y_min + y_max[::-1], color='#0099ff', alpha=.5, ec='None', label='Accuracy Range') plt.xlim(left=0) plt.ylim(bottom=0) plt.legend(loc='lower right', prop={'size':14}) plt.xlabel("Vocab") plt.ylabel("Accuracy") plt.savefig("accuracy_curve.eps", dpi=1000, format='eps') #plt.show() #plt.fill(np.concatenate([x, x[::-1]]), # np.concatenate([y_pred - 1.9600 * sigma, # (y_pred + 1.9600 * sigma)[::-1]]), # alpha=.5, fc='b', ec='None', label='95% confidence interval') #draw_SLU_uncerntainy_curve() def read(string, use_str=False): string = string.strip() result = eval(string) if use_str: result = [str(_) for _ in result] else: result = [float(_) for _ in result] return result def draw_curve(): def savefig(f1, f2, f3, name): x, y = enhanced(read(f1[1]), read(f1[0])) plt.plot(x, y, 'y*', label="Frequency") x, y = enhanced(read(f2[1]), read(f2[0])) plt.plot(x, y, 'b--', label="TF-IDF") x, y = enhanced(read(f3[1]), read(f3[0])) plt.plot(x, y, 'r', label="Variational") #plt.title("{} dataset".format(name)) plt.xlabel('Vocab') plt.ylabel('Accuracy') plt.legend(loc='best') plt.xscale('log') #plt.xlim(left=0.001) #plt.show() plt.savefig("{}.eps".format(name), format="eps", dpi=1000) plt.clf() plt.rcParams.update({'font.size': 14}) file = 'results/ag_news' f1 = open(file + ".txt").readlines() f2 = open(file + "_tf_idf.txt").readlines() f3 = open(file + "_var.txt").readlines() savefig(f1, f2, f3, 'images/ag_news') file = 'results/dbpedia' f1 = open(file + ".txt").readlines() f2 = open(file + "_tf_idf.txt").readlines() f3 = open(file + "_var.txt").readlines() savefig(f1, f2, f3, 'images/dbpedia') file = 'results/yelp_review' f1 = open(file + ".txt").readlines() f2 = open(file + "_tf_idf.txt").readlines() f3 = open(file + "_var.txt").readlines() savefig(f1, f2, f3, 'images/yelp_review') #draw_curve() def compute_score(): from data_utils import * f = 'results/ag_news.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 61673) print CR(y, x) f = 'results/ag_news_tf_idf.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 61673) print CR(y, x) f = 'results/ag_news_var.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 61673) print CR(y, x) print() f = 'results/dbpedia.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 563355) print CR(y, x) f = 'results/dbpedia_tf_idf.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 563355) print CR(y, x) f = 'results/dbpedia_var.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 563355) print CR(y, x) print() f = 'results/yelp_review.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 252712) print CR(y, x) f = 'results/yelp_review_tf_idf.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 252712) print CR(y, x) f = 'results/yelp_review_var.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 252712) print CR(y, x) print() f = 'results/sogou_news.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 254495) print CR(y, x) f = 'results/sogou_news_tf_idf.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 254495) print CR(y, x) f = 'results/snli.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 42391) print CR(y, x) f = 'results/snli_var.txt' y = read(open(f).readlines()[0]) x = read(open(f).readlines()[1]) print ROC(y, x, 42391) print CR(y, x) compute_score()

29.692308

105

0.598877

1,221

6,948

3.324324

0.167076

0.013797

0.05765

0.115299

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0.51392

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0.03797

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null

0

0.056818

null

0.164773

0

null

0

null

0

1

0

1

4baef5968ecd4571dc42ca2e3a144059ebfa9562

1,471

py

Python

Calamous.py

Studio-Pasteque/Pokemon

6b9f457eef8a2dc28cb8b9b69527404b47c9825a

[ "MIT" ]

2

2020-05-27T08:27:58.000Z

2020-05-27T09:31:45.000Z

Calamous.py

Studio-Pasteque/Pokemon

6b9f457eef8a2dc28cb8b9b69527404b47c9825a

[ "MIT" ]

null

Calamous.py

Studio-Pasteque/Pokemon

6b9f457eef8a2dc28cb8b9b69527404b47c9825a

[ "MIT" ]

null

import learnables.py # création d'un objet Calamous class Calamous: #définition de son type et de si c'est un pokémon pokemon = True type_ = "Water" # définition de ses talents et de son genre (qui seront random) abilities = "Multicule" or "Glissade" or "Protéen" gender = "M" or "F" # création de ses niveaux levels = 1 exp = 0 needexp = 30 lootexp = 10 difupgexp = 3 # création de la possibilité de monter de niveau if adverse == 0: exp = exp + lootexp * difupgexp if levels == 1 and exp == needexp: levels = 2 needexp = 70 exp = 0 if adverse == 0: exp = exp + lootexp * difupgexp if exp == needexp: levels = levels + 1 needexp = needexp * 2 exp = 0 # définition de ses stats hp = 50 atq = 35 df = 40 spa = 60 spd = 30 spe = 60 pre = 1 esc = 1 # définition de l'apparence et des capacités qu'il pourra apprendre appearence = ('assets/personnages/Poké-avant/Calamous') # définition de valeurs plus cachées happiness = 0 # création de la possibilité de monter certaines d'entre elles if adverse == 0: happiness = happiness + 0.1 # description du pokédex desc = "Ce pokémon ne peut pas vivre hors de l'eau : sa peau sèche dès qu'elle est déshydratée trop longtemps"

27.754717

114

0.56968

190

1,471

4.405263

0.563158

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0.035842

0.054958

0.155317

0.081243

0

0.037393

0.363698

1,471

53

114

27.754717

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0

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0

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0.611111

0

null

0

null

0

1

0

1

4bb35fc82ab5a2d2bc09de6a0496b0c17ea21b52

2,469

py

Python

Grove_Base_Hat_for_RPI/grove.py-master/grove/button/button.py

tcmoore/RPI-Environmental-Controller

7f28dcdf08c51db8400ccc0369eb049fdce5e901

[ "Unlicense", "MIT" ]

5

2019-11-18T02:26:18.000Z

2021-02-06T20:31:37.000Z

Grove_Base_Hat_for_RPI/grove.py-master/grove/button/button.py

tcmoore/RPI-Environmental-Controller

7f28dcdf08c51db8400ccc0369eb049fdce5e901

[ "Unlicense", "MIT" ]

null

Grove_Base_Hat_for_RPI/grove.py-master/grove/button/button.py

tcmoore/RPI-Environmental-Controller

7f28dcdf08c51db8400ccc0369eb049fdce5e901

[ "Unlicense", "MIT" ]

1

2020-08-26T10:22:37.000Z

#!/usr/bin/env python # # This is the library for Grove Base Hat. # # Button Base Class # ''' ## License The MIT License (MIT) Grove Base Hat for the Raspberry Pi, used to connect grove sensors. Copyright (C) 2018 Seeed Technology Co.,Ltd. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' class Button(object): # event bits EV_RAW_STATUS = 1 << 0 EV_SINGLE_CLICK = 1 << 1 EV_DOUBLE_CLICK = 1 << 2 EV_LONG_PRESS = 1 << 3 EV_LEVEL_CHANGED = 1 << 4 # EV_HAS = 1 << 31 pins = [] def __init__(self, pin): self.__on_obj = None self.__on_event = None self.__event = 0 self.pins.append(pin) # To use with button array self.__index = self.pins.index(pin) def get_on_event(self): return self.__on_obj, self.__on_event def on_event(self, obj, callback): if not obj: return if not callable(callback): return self.__on_obj, self.__on_event = obj, callback def is_pressed(self): return False # call by derivate class def _send_event(self, event, pressed, tm): if not callable(self.__on_event): return evt = { 'index': self.__index, 'code' : event, 'pressed': pressed, 'time' : tm, } self.__on_event(self.__on_obj, evt)

31.253165

78

0.64439

343

2,469

4.48105

0.463557

0.035133

0.035784

0.019519

0.033832

0

0.010239

0.287971

2,469

78

79

31.653846

0.86405

0.54192

0

0.090909

0

0.019305

0

1

0.151515

false

0

0.060606

0.515152

0

null

0

null

0

1

0

1

4bba68abed889d99f735d0534602287dd744310e

3,794

py

Python

hemlock/load_scripts/doc_to_mongo.py

Lab41/Hemlock

2c53cfc11bfbe1e4f901b519db578090fe7a17dd

[ "Apache-2.0" ]

4

2015-05-14T18:59:44.000Z

2017-03-09T12:49:36.000Z

hemlock/load_scripts/doc_to_mongo.py

Lab41/Hemlock

2c53cfc11bfbe1e4f901b519db578090fe7a17dd

[ "Apache-2.0" ]

null

hemlock/load_scripts/doc_to_mongo.py

Lab41/Hemlock

2c53cfc11bfbe1e4f901b519db578090fe7a17dd

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (c) 2013 In-Q-Tel, Inc/Lab41, All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import fnmatch, os, sys, time, uuid from pymongo import MongoClient def mongo_server(server, port, database, collection): # connect to the redis server try: m_server = MongoClient(server, port) m_database = m_server[database] m_collection = m_database[collection] except: print "Mongo server failure" sys.exit(0) return m_server, m_database, m_collection def process_doc(input, m_server, m_database, m_collection): matches = [] docs = [] for root, dirnames, filenames in os.walk(input): for filename in fnmatch.filter(filenames, '*.txt'): matches.append(os.path.join(root, filename)) j = 0 k = 0 for file in matches: if len(docs) % 100 == 0 and len(docs) > 0: m_collection.insert(docs) print str(j), "total docs." print str(k), "docs failed." docs = [] doc = open(file, 'r').read() try: doc = unicode(doc, "utf-8") doc = {"doc": doc} docs.append(doc) j += 1 except: k += 1 if len(docs) > 0: m_collection.insert(docs) print str(j), "total docs." print str(k), "docs failed." def print_help(): print "-i \t<input path to files> (default is /mnt/)" print "-s \t<mongo server> (default is localhost)" print "-p \t<mongo port> (default is 27017)" print "-d \t<mongo database> (default is local)" print "-c \t<mongo collection> (default is collection)" print "-h \thelp\n" sys.exit(0) def process_args(args): # default initialization input = "/mnt/" server = "localhost" port = 27017 database = "local" collection = "collection" # process args i = 0 while i < len(args): if args[i] == "-s": try: server = args[i+1] i += 1 except: print_help() elif args[i] == "-p": try: port = int(args[i+1]) i += 1 except: print_help() elif args[i] == "-d": try: database = args[i+1] i += 1 except: print_help() elif args[i] == "-c": try: collection = args[i+1] i += 1 except: print_help() elif args[i] == "-i": try: input = args[i+1] i += 1 except: print_help() else: print_help() i += 1 return input, server, port, database, collection def get_args(): args = [] for arg in sys.argv: args.append(arg) return args[1:] if __name__ == "__main__": start_time = time.time() args = get_args() input, server, port, database, collection = process_args(args) m_server, m_database, m_collection = mongo_server(server, port, database, collection) process_doc(input, m_server, m_database, m_collection) print "Took",time.time() - start_time,"seconds to complete."

29.640625

89

0.552978

481

3,794

4.27027

0.326403

0.026777

0.024343

0.01704

0.278481

0.242941

0.178676

0.167478

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null

0.191919

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null

0

null

0

1

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1

4bbd48777ac0547cad592918b3cc57a1efffc54a

677

py

Python

project euler/q50.py

milkmeat/thomas

fbc72af34267488d931a4885d4e19fce22fea582

[ "MIT" ]

null

project euler/q50.py

milkmeat/thomas

fbc72af34267488d931a4885d4e19fce22fea582

[ "MIT" ]

null

project euler/q50.py

milkmeat/thomas

fbc72af34267488d931a4885d4e19fce22fea582

[ "MIT" ]

null

def listprime(max): prime=[True]*max prime[0]=False prime[1]=False for x in range(max/2): if prime[x]: bei=x+x while bei<max: prime[bei]=False bei+=x return prime def listprimenumber(lpn): listprimelpn=listprime(lpn) l=[] for x in range(len(listprimelpn)): if listprimelpn[x]: l.append(x) return l b=listprimenumber(100) print b count=3 for x in range(len(b)-count): sum=0 for y in range(count): sum+=b[x+y] if sum in b: print sum #if b[x+0]+b[x+1]+b[x+2] in b: # print b[x],b[x+1],b[x+2]

22.566667

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677

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null

0

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1

4bbf1d6eb8af61adb06a84718e97dce8dddb1ac0

6,094

py

Python

spartify/settings.py

cl1ckname/Spartify

3c45236e3f8803af9d01ac638e3d10a834ab7b7d

[ "Apache-2.0" ]

3

2021-07-26T15:43:20.000Z

2022-02-11T17:22:31.000Z

spartify/settings.py

cl1ckname/Spartify

3c45236e3f8803af9d01ac638e3d10a834ab7b7d

[ "Apache-2.0" ]

2

2021-07-08T14:25:22.000Z

2021-08-19T18:17:14.000Z

spartify/settings.py

cl1ckname/Spartify

3c45236e3f8803af9d01ac638e3d10a834ab7b7d

[ "Apache-2.0" ]

1

2021-08-19T18:17:48.000Z

""" Django settings for spartify project. Generated by 'django-admin startproject' using Django 2.2.12. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os from dotenv import load_dotenv load_dotenv() # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = os.environ.get("SECRET_KEY") # SECURITY WARNING: don't run with debug turned on in production! DEBUG = int(os.environ.get("DEBUG", default=1)) ALLOWED_HOSTS = os.environ.get("DJANGO_ALLOWED_HOSTS",'').split(" ") + ['*', '192.168.43.72', '192.168.0.53', '0.0.0.0'] AUTHENTICATION_BACKENDS = ( 'django.contrib.auth.backends.ModelBackend', 'social_core.backends.spotify.SpotifyOAuth2', ) AUTH_USER_MODEL = 'backend.User' SOCIAL_AUTH_USER_MODEL = 'backend.User' # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'channels', 'social_django', 'backend', 'lobby' ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', # 'backend.middlewares.ApiMiddleware', ] ROOT_URLCONF = 'spartify.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'spartify.wsgi.application' ASGI_APPLICATION = 'spartify.routing.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { "ENGINE": os.environ.get("SQL_ENGINE", "django.db.backends.sqlite3"), "NAME": os.environ.get("SQL_DATABASE", os.path.join(BASE_DIR, "db.sqlite3")), "USER": os.environ.get("SQL_USER", "user"), "PASSWORD": os.environ.get("SQL_PASSWORD", "password"), "HOST": os.environ.get("SQL_HOST", "localhost"), "PORT": os.environ.get("SQL_PORT", "5432"), } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) STATIC_URL = 'staticfiles/' STATIC_ROOT = os.path.join(BASE_DIR, STATIC_URL) SOCIAL_AUTH_SPOTIFY_KEY = os.environ['SOCIAL_AUTH_SPOTIFY_KEY'] SOCIAL_AUTH_SPOTIFY_SECRET = os.environ['SOCIAL_AUTH_SPOTIFY_SECRET'] SOCIAL_AUTH_URL_NAMESPACE = 'social' SOCIAL_AUTH_SPOTIFY_SCOPE = ['user-read-email','user-read-private', 'user-read-playback-state', 'user-modify-playback-state'] # SOCIAL_AUTH_LOGIN_REDIRECT_URL = 'http://{}/complete/spotify/' % os.getenv('HOST') LOGIN_REDIRECT_URL = 'dashboard' LOGIN_URL = 'login' DEFAULT_AUTO_FIELD='django.db.models.AutoField' SOCIAL_AUTH_PIPELINE = ( 'social_core.pipeline.social_auth.social_details', 'social_core.pipeline.social_auth.social_uid', 'social_core.pipeline.social_auth.auth_allowed', 'social_core.pipeline.social_auth.social_user', 'social_core.pipeline.user.get_username', 'social_core.pipeline.user.create_user', 'social_core.pipeline.social_auth.associate_user', 'social_core.pipeline.social_auth.load_extra_data', 'social_core.pipeline.user.user_details', 'backend.pipeline.save_access_token', #save token on login, ) QUEUE_SESSION_ID = 'queue' SESSION_EXPIRE_AT_BROWSER_CLOSE = 15 LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'formatters': { 'api_formatter': { 'format': '{username} -- {endpoint} -- {status_code:d}: {message}', 'style': '{', }, 'lobby_formatter': { 'format': '{id}--{username}: {message} -- {asctime}', 'style': '{', }, }, 'handlers': { 'api_errors': { 'class': 'logging.FileHandler', 'filename': 'logs/api_errors.log', 'formatter': 'api_formatter', 'level': 'ERROR', }, }, 'loggers':{ 'backend': { 'handlers': ['api_errors'], }, }, } REDIS_HOST = os.environ.get("REDIS_HOST", '127.0.0.1') REDIS_PORT = 6379 REDIS_DB = 0 CHANNEL_LAYERS = { 'default': { 'BACKEND': 'channels_redis.core.RedisChannelLayer', "CONFIG": { "hosts": [(REDIS_HOST, REDIS_PORT)], }, } }

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null

0

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null

0

1

4bc28189f37d50450206554fd6ab1753bd171778

7,386

py

Python

getters/haproxy_haproxylogs.py

gunny26/datalogger

7bd29ab88f2e2749284d80a6a834c94c0955a7e0

[ "Apache-2.0" ]

null

getters/haproxy_haproxylogs.py

gunny26/datalogger

7bd29ab88f2e2749284d80a6a834c94c0955a7e0

[ "Apache-2.0" ]

null

getters/haproxy_haproxylogs.py

gunny26/datalogger

7bd29ab88f2e2749284d80a6a834c94c0955a7e0

[ "Apache-2.0" ]

null

#!/usr/bin/python """ Program to read and parse haproxylogs to put them in shape to upload to DataLogger The input date schould be sorted by date, and finished the uploaded data will immediately split into TimeseriesArray, so no further data of this day could be appended """ import os import sys import gzip import logging logging.basicConfig(level=logging.DEBUG) import datetime import zlib import requests import StringIO import argparse # own modules from datalogger import DataLoggerWeb as DataLoggerWeb import tilak_haproxylog def aggregator(index_keynames, value_keynames, ts_keyname, func, interval = 60 * 5): """ aggregates some protocol data to get a consistent timeseries, with interval """ data = {} ts = None #print ts_keyname for parsts, parsdata in func(): #print parsdata #print parsdata["log_timestamp"] if ts is None: ts = parsts key = tuple((parsdata[key] for key in index_keynames)) values = tuple((int(parsdata[key]) for key in value_keynames)) if key not in data: data[key] = values else: data[key] = tuple((data[key][index] + int(values[index]) for index in range(len(values)))) if parsts > (ts + interval): for keys, values in data.items(): yield "%s\t%s\t%s" % (ts, "\t".join((str(index_key) for index_key in keys)), "\t".join((str(value_key) for value_key in values))) ts = None data = {} def parser_generator(index_keynames, value_keynames, file_obj): """ return specific parser for this set of parameters """ def inner(): """ split line into dict of fields, and append some data according to line """ for line in file_obj: logdata = tilak_haproxylog.parse_line(line) if logdata is not None: logdata["hits"] = 1 for value_key in value_keynames: if value_key not in logdata: logdata[value_key] = 0 status_code = int(logdata["status_code"]) if 100 <= status_code <= 199: logdata["rsp_1xx"] = 1 elif 200 <= status_code <= 299: logdata["rsp_2xx"] = 1 elif 300 <= status_code <= 399: logdata["rsp_3xx"] = 1 elif 400 <= status_code <= 499: logdata["rsp_4xx"] = 1 elif 500 <= status_code <= 599: logdata["rsp_5xx"] = 1 else: logdata["rsp_other"] = 1 ret_data = dict(zip(index_keynames, (logdata[index_key] for index_key in index_keynames))) ret_data.update(dict(zip(value_keynames, (logdata[value_key] for value_key in value_keynames)))) yield (logdata["ts"], ret_data) return inner def generate_datalogger_csv(logdir, datestring, keys, values, ts_keyname): """ create CSV like file with StringIO """ if datestring == datetime.date.today().isoformat(): logging.error("todays Logs are actually written and cannot used in datalogger") return headers = [ts_keyname, ] + list(keys) + list(values) linebuffer = [] linebuffer.append("\t".join(headers)) filename = os.path.join(logdir, "haproxylog_%s.gz" % datestring) logging.info("parsing file %s", filename) try: parser = parser_generator(keys, values, gzip.open(filename, "rb")) for line in aggregator(keys, values, ts_keyname, parser): linebuffer.append(line) except IOError as exc: logging.exception(exc) return StringIO.StringIO("\n".join(linebuffer)) def datestring_to_date(datestring): """ convert string in format YYYY-MM-DD into date object """ year, month, day = datestring.split("-") date = datetime.date(year=int(year), month=int(month), day=int(day)) return date def datewalk(datestring1, datestring2): """ count up from datestring1 to datestring2 in single day steps yield in isoformat() """ date1 = datestring_to_date(datestring1) date2 = datestring_to_date(datestring2) assert date2 > date1 oneday = datetime.timedelta(1) while date1 < date2: yield date1.isoformat() date1 += oneday def main(): """ what do you think, what main should do """ yesterday_datestring = (datetime.date.today() - datetime.timedelta(1)).isoformat() parser = argparse.ArgumentParser(description='generate TimeseriesArrays on local backend') parser.add_argument('--url', default="https://datalogger-api.tirol-kliniken.cc/DataLogger", help="url of DataLogger Webapplication") parser.add_argument('--logdir', default="/data1/haproxy_daily/", help="directory where to find day sorted haproxylogs") parser.add_argument("-b", '--back', help="how many days back from now") parser.add_argument("-s", '--startdate', help="start date in isoformat YYY-MM-DD") parser.add_argument("-e", '--enddate', default=yesterday_datestring, help="stop date in isoformat YYY-MM-DD") parser.add_argument("-q", '--quiet', action='store_true', help="set to loglevel ERROR") parser.add_argument("-v", '--verbose', action='store_true', help="set to loglevel DEBUG") args = parser.parse_args() if args.quiet is True: logging.getLogger("").setLevel(logging.ERROR) if args.verbose is True: logging.getLogger("").setLevel(logging.DEBUG) if (args.back is not None) == (args.startdate is not None): logging.error("option -b and -e are mutual exclusive, use only one") sys.exit(1) startdate = None if args.back is not None: startdate = (datetime.date.today() - datetime.timedelta(int(args.back))).isoformat() elif args.startdate is not None: startdate = args.startdate else: logging.error("you have to provide either -b or -s") sys.exit(1) # lets get started datalogger = DataLoggerWeb(args.url) project = "haproxy" tablename = "http_host" baseurl = "%s/upload_raw_file/" % args.url logdir = args.logdir # where to find haproxy logs keys = ("http_host", ) values = ("bytes_read", "rsp_1xx", "rsp_2xx", "rsp_3xx", "rsp_4xx", "rsp_5xx", "rsp_other", "srv_queue", "backend_queue", "actconn", "feconn", "beconn", "srv_conn", "retries", "tq", "tw", "tc", "tr", "tt", "hits") ts_keyname = "ts" for datestring in datewalk(startdate, args.enddate): caches = datalogger.get_caches(project, tablename, datestring) if caches["tsa"]["raw"] is not None: logging.info("Skipping this datestring, raw data is already available") continue try: stringio = generate_datalogger_csv(logdir, datestring, keys, values, ts_keyname) #upload data files = {'myfile': stringio} url = "/".join((baseurl, project, tablename, datestring)) logging.info("calling %s", url) response = requests.post(url, files=files) print response.content except StandardError as exc: logging.error("Exception on file datestring %si, skipping this date", datestring) except zlib.error as exc: logging.error(exc) if __name__ == "__main__": main()

40.80663

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0

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7,386

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null

0.007407

0

null

0

null

0

1

0

1

4bc441d80eb90948270b0c67a69acd09e054bf96

793

py

Python

packages/jobs/statuses.py

NHSDigital/list-reconciliation

37b1ebe99a64275e23b0e7fb6a89415b92d14306

[ "MIT" ]

4

2021-06-25T08:28:54.000Z

2021-12-16T11:03:42.000Z

packages/jobs/statuses.py

NHSDigital/list-reconciliation

37b1ebe99a64275e23b0e7fb6a89415b92d14306

[ "MIT" ]

184

2021-06-24T15:27:08.000Z

2022-03-17T12:44:28.000Z

packages/jobs/statuses.py

NHSDigital/list-reconciliation

37b1ebe99a64275e23b0e7fb6a89415b92d14306

[ "MIT" ]

3

2021-11-05T10:21:44.000Z

2022-03-04T14:29:24.000Z

from enum import Enum class JobStatus(Enum): PENDING = "PENDING" REJECTED = "REJECTED" SENT_TO_DPS = "SENT_TO_DPS" PROCESSED_BY_DPS = "PROCESSED_BY_DPS" COMPLETE = "COMPLETE" NOTIFIED_VALIDATION_FAILED = "NOTIFIED_VALIDATION_FAILED" CLEANED_UP = "CLEANED_UP" class ParseStatus(Enum): NOT_PARSED = "NOT_PARSED" PARSE_FAILED = "PARSE_FAILED" class InvalidErrorType(Enum): RECORDS = "INVALID_RECORDS" STRUCTURE = "INVALID_STRUCTURE" FILENAME = "INVALID_FILENAME" class InputFolderType(Enum): IN = "inbound/" PASS = "pass/" FAIL = "fail/" RETRY = "retry/" REJECTED = "rejected/" class RegistrationType(Enum): GP = "OnlyOnGP" PDS = "OnlyOnPDS" class JobNotFound(Exception): """Job Not Found Exception"""

18.880952

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0.062136

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0.066019

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793

41

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0.827974

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0.034031

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false

0.038462

0

1

0

null

0

null

0

1

0

1

4bc544909f30548d56d19ceee6f586966f0cd714

843

py

Python

DevOps/Data_Science_in_Production/cap02/15_scikit-learn.py

unimauro/Courses

81e5b9c4cbc9b875eff82f96bda7d21ec4f258b2

[ "Apache-2.0" ]

1

2020-07-25T04:56:55.000Z

DevOps/Data_Science_in_Production/cap02/15_scikit-learn.py

unimauro/Courses

81e5b9c4cbc9b875eff82f96bda7d21ec4f258b2

[ "Apache-2.0" ]

2

2020-06-15T04:42:00.000Z

2021-08-29T03:48:28.000Z

DevOps/Data_Science_in_Production/cap02/15_scikit-learn.py

unimauro/Courses

81e5b9c4cbc9b875eff82f96bda7d21ec4f258b2

[ "Apache-2.0" ]

null

import pandas as pd from sklearn.linear_model import LogisticRegression import mlflow import mlflow.sklearn import flask model_path = "models/logit_games_v1" model = mlflow.sklearn.load_model(model_path) app = flask.Flask(__name__) @app.route("/", methods=["GET","POST"]) def predict(): data = {"success": False} params = flask.request.args if "G1" in params.keys(): new_row = { "G1": params.get("G1"),"G2": params.get("G2"), "G3": params.get("G3"),"G4": params.get("G4"), "G5": params.get("G5"),"G6": params.get("G6"), "G7": params.get("G7"),"G8": params.get("G8"), "G9": params.get("G9"),"G10":params.get("G10")} new_x = pd.DataFrame.from_dict(new_row, orient = "index").transpose() data["response"] = str(model.predict_proba(new_x)[0][1]) data["success"] = True return flask.jsonify(data) if __name__ == '__main__': app.run(host='0.0.0.0')

31.222222

58

0.688019

133

843

4.180451

0.473684

0.161871

0.010791

0

0.039012

0.087782

843

26

59

32.423077

0.684005

0

0.136418

0.024911

0

null

0

0.192308

null

0

null

0

null

0

1

0

1

2991579a0641f47ea260ec96e0a53c12f4df3dbf

342

py

Python

authors/apps/author_follows/urls.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

3

2019-05-01T10:41:09.000Z

2021-04-25T22:17:20.000Z

authors/apps/author_follows/urls.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

24

2019-04-23T14:56:21.000Z

2021-12-13T19:58:37.000Z

authors/apps/author_follows/urls.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

4

2019-06-29T10:40:32.000Z

2022-01-04T11:44:53.000Z

from django.urls import path from .views import FollowStatsViews, AuthorFollowViews urlpatterns = [ # /authors/followers/ or ../following/ path("<str:follow_state>/", FollowStatsViews.as_view(), name="follows"), # /authors/<author_username>/follow path("<str:username>/follow/", AuthorFollowViews.as_view(), name="follow") ]

34.2

78

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0

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false

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0.333333

0

null

0

null

0

1

0

1

29978909888062a7973e1bdbe5b82311fd8d9b27

6,173

py

Python

main.py

ml4design/text-processing-module

f1bfe1a49d58156e9e48e5ef69b980f89a5981ea

[ "MIT" ]

null

main.py

ml4design/text-processing-module

f1bfe1a49d58156e9e48e5ef69b980f89a5981ea

[ "MIT" ]

null

main.py

ml4design/text-processing-module

f1bfe1a49d58156e9e48e5ef69b980f89a5981ea

[ "MIT" ]

null

import pandas as pd from preprocessing import preprocess from wordclouds import wordcloud, find_by_word from sentiment_analysis import calculate_sentiment, find_by_sentiment import nltk import os import tempfile from topic_modelling import lda_topic_model, show_topics, show_example_sentences_by_topic os.environ["MPLCONFIGDIR"] = tempfile.gettempdir() nltk.download('punkt') nltk.download('stopwords') pd.set_option('display.max_columns', None) ##################################################### # READING THE DATA # ##################################################### # In this tutorial we will mostly deal with comma separated files (CSV) (similar to the structure of Excel files). Each line of the file is a data record. Each record consists of one or more fields, separated by commas. Check here for more information https://en.wikipedia.org/wiki/Comma-separated_values # reads the file named "students_eng.csv". # If you want to read a different file you need to (1) upload it in replit and (2) change "students_eng.csv" to the name of the newly uploaded file. Here we use the Pandas library ("pd") to read our file and in return we get a Pandas Dataframe. For faster processing and experimentation you can also select different subsets of the file's content through the nrows parameter -> number of lines to read. students_data = pd.read_csv("data/students_eng.csv") # With the next line you can print the data you just read and see how a Pandas Dataframe looks like (seems quite similar to Excel) print(students_data.head(3)) # As you can see the data is separated in columns. Let's see how we can get the data from a specific column. The following line allows us to get only the data inside the column named "students_needs". Other options are: study_programme, degree_programme, planned_grad_year, today_feeling, physical_health, student_needs, students_sugg_to_improve_wellbeing students_data = students_data['student_needs'] ################################################# # TEXT PREPROCESSING # ################################################# # Here we will pre-process our entire text collection. # First, we need to merge all the different lines of the "comments" into one big corpus, so that we can later analyze it. corpus = students_data.to_list() print(corpus[0:5]) # Then we need to "preprocess" our text. To do so we use the following line of code (more details on what happens under the hood could be found in the "preprocessing.py" file - feel free to take a look at it). # The following code: makes all words lowercase, create word tokens, removes stopwords, punctuations, and digits, and reduces inflected words to their word stem (stemming).Feel free to experiment by turning any of the following values from True to False. In addition, you can add extra words which you do not want to include in your analysis by adding them within the extra_stopwords brackets e.g. extra_stopwords=["people"] would remove the word people from everywhere in the document. Hint: don't forget to use the quotes! # tokens = [preprocess(sentence, lower=True, rem_punc=True, word_tokenization=True, rem_numb=True, rem_stopwords=True, stem=True, extra_stopwords = []) for sentence in students_data.to_list()] # print(tokens) ############################################# # WORD FREQUENCIES # ############################################# # Word frequencies calculation is the most basic tool in text processing yet it gives a comprehensive picture of the content in your text collection. One the most ways to visualize word frequencies is WordCloud (which you've already seen if you opened Voyant) # This function needs two things from you: # 1. tokens -- the result of our preprocessing step # 2. the name of the picture it will generate and save to your directory # 3. Number of words to show # wordcloud(words = tokens, name_of_output = 'wordcloud', num = 10) # Text processing often requires working with examples, because words are often contextual and it is difficult to understand what is happening in your text collection. For this purpose, you can find documents by pieces of texts. # This function needs two things from you: # 1. tokens -- the result of our preprocessing step (it will look for examples in this collection) # 2. a word or a phrase the text should include # test = find_by_word(tokens, 'studi') #print(test) ############################################# # Sentiment analysis # ############################################# # The aim of sentiment analysis is to calculate how emotional your texts are and what is the valence of these texts. In our example we use VADER (Valence Aware Dictionary and sEntiment Reasoner) but you can find other various sentiment analysis tools in the internet. # VADER calculated how positive, neutral, and negative a text is. It also calculates a compound score which considers all three metrics to give you a precise measurement of the sentiment. # This function requires only the preprocessed collection of texts # sent_result = calculate_sentiment(tokens) # print(sent_result) # Now, when the sentiment scores are calculated, you can find the most interesting texts by looking at the documents with highest scores (in this example, we look at the 5 most positive documents). # This function requires three things: # 1. The result of sentiment calculation # 2. What score you're interested in # 3. Number of examples you want to get # res = find_by_sentiment(df_with_scores = sent_result, score_type = 'pos', num_of_examples = 5) # print(res) ############################################# # TOPIC MODELING # ############################################# # num_of_topics = 4 # word_num_per_topic = 5 # lda_model = lda_topic_model(tokens, topic_num=num_of_topics) # show_topics(lda_model, word_num_per_topic ) # Check examples assigned to a particular topic #### # num_of_examples = 5 # show_example_sentences_by_topic(corpus, tokens, lda_model, word_num_per_topic,topic_to_check=1, num_of_examp_to_show = num_of_examples)

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Python

awx/main/migrations/0112_deployhistory_date.py

Pavloid21/awx

224827f6060013b996eb8210597bca68cda65d40

[ "Apache-2.0" ]

null

awx/main/migrations/0112_deployhistory_date.py

Pavloid21/awx

224827f6060013b996eb8210597bca68cda65d40

[ "Apache-2.0" ]

null

awx/main/migrations/0112_deployhistory_date.py

Pavloid21/awx

224827f6060013b996eb8210597bca68cda65d40

[ "Apache-2.0" ]

null

# Generated by Django 2.2.8 on 2020-03-25 13:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0111_auto_20200325_1311'), ] operations = [ migrations.AddField( model_name='deployhistory', name='date', field=models.DateTimeField(auto_now=True), ), ]

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299f9a135fb0ac674c3200f9214021f3cf9fd561

920

py

Python

policy.py

shantanusingh16/Pytorch-DQN

b7d3270e9e345e85e5c5a5216109529879ab77bd

[ "MIT" ]

4

2018-09-23T19:58:24.000Z

2022-03-22T20:32:36.000Z

policy.py

shantanusingh16/Pytorch-DQN

b7d3270e9e345e85e5c5a5216109529879ab77bd

[ "MIT" ]

null

policy.py

shantanusingh16/Pytorch-DQN

b7d3270e9e345e85e5c5a5216109529879ab77bd

[ "MIT" ]

2

2019-05-22T06:02:38.000Z

2019-10-18T17:08:24.000Z

import numpy as np import torch from utils.helpers import process_state, device def make_epsilon_greedy_policy(estimator, nA): """ :param estimator: model that returns q values for a given statem/action pair :param nA: number of actions in the environment :return: A function that takes in a state and an epsilon and returns probs for each action in the form of a numpy array of length nA """ def policy_fn(state, epsilon): """ :param state: tensor of b x 1 x 84 x 84 :param epsilon: :return: action probabilities, of size b x nA """ A = torch.ones(nA) * epsilon / nA state = torch.from_numpy(state).float().to(device).unsqueeze(0) / 255.0 q_vals = estimator.forward(state) best_action = torch.argmax(q_vals, dim=0).unsqueeze(-1) # b A[best_action] += (1.0 - epsilon) return A return policy_fn

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py

Python

matrix_multiplication_evolution_example.py

bobbywlindsey/stokepy

e7f4ad0c27d8fc22129558db6ae0dbbab0627ace

[ "MIT" ]

9

2017-05-09T20:00:10.000Z

2020-07-02T18:00:22.000Z

matrix_multiplication_evolution_example.py

bobbywlindsey/stokepy

e7f4ad0c27d8fc22129558db6ae0dbbab0627ace

[ "MIT" ]

null

matrix_multiplication_evolution_example.py

bobbywlindsey/stokepy

e7f4ad0c27d8fc22129558db6ae0dbbab0627ace

[ "MIT" ]

2

2017-08-10T14:47:07.000Z

2019-01-25T02:37:34.000Z

import stokepy as sp import numpy as np # instantiate class fmc = sp.FiniteMarkovChain() # create initial distribution vector phi = np.array([0, 0, 1, 0, 0]) # generate Markov chain with no boundary conditions fmc.gen_from_params(phi, p = 0.6, num_states = 5, dim = 1) # apply boundary condition: absorbing, reflecting, semi-reflecting # only works for 1 dimension Markov chains at the moment fmc.apply_boundary_condition(condition='absorbing') # choose solution method like Matrix Multiplication Evolution matrx_mult_evo = sp.MatrixMultiplicationEvolution(fmc, phi, steps = 2000,\ rec_class_states = []) # run the solution matrx_mult_evo.run() # get data from the run average_distribution = matrx_mult_evo.pi tpdf = matrx_mult_evo.tpdf absorption_proportions = matrx_mult_evo.absorption_proportions apbrc = matrx_mult_evo.recurrent_class_absorbed_proportions mean_absorption_time = matrx_mult_evo.mean_absorption_time # plot absorption tiems for recurrent classes matrx_mult_evo.plot_absorption()

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29ac9c03bbaa51b34d7d739bc8607fc9dd0af610

309

py

Python

main.py

yaojenkuo/stockflow

946609c2fcc1d602032672b57ae7119b4cadae8d

[ "MIT" ]

33

2015-03-08T00:43:37.000Z

2021-02-18T23:40:05.000Z

main.py

Asoul/stockflow

946609c2fcc1d602032672b57ae7119b4cadae8d

[ "MIT" ]

null

main.py

Asoul/stockflow

946609c2fcc1d602032672b57ae7119b4cadae8d

[ "MIT" ]

25

2015-03-07T15:57:23.000Z

2021-07-05T01:32:32.000Z

#!/bin/python # -*- coding: utf-8 -*- '''基本範例格式''' import sys from ctrls.Tester import Tester from models.exampleModel import exampleModel def main(): numbers = ['1314']# 股票編號 tester = Tester(numbers, exampleModel)# 使用測試元件 tester.run()# 模擬 if __name__ == '__main__': sys.exit(main())

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29b119e99bde0832d57541650801a62ec77c42f6

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py

Python

jisho_api/word/cfg.py

finia2NA/jisho-api

c80beb44a7b70f24e799cd2a7d579356c58f8625

[ "Apache-2.0" ]

26

2021-10-05T03:54:33.000Z

2022-03-26T10:46:31.000Z

jisho_api/word/cfg.py

finia2NA/jisho-api

c80beb44a7b70f24e799cd2a7d579356c58f8625

[ "Apache-2.0" ]

7

2021-11-22T00:43:30.000Z

2022-01-12T00:34:22.000Z

jisho_api/word/cfg.py

finia2NA/jisho-api

c80beb44a7b70f24e799cd2a7d579356c58f8625

[ "Apache-2.0" ]

4

2021-12-08T13:41:07.000Z

2022-03-25T20:54:07.000Z

from enum import Enum from typing import List, Optional from pydantic import BaseModel, HttpUrl class Sense(BaseModel): class Link(BaseModel): text: str url: HttpUrl class Source(BaseModel): language: str english_definitions: List[str] parts_of_speech: List[Optional[str]] links: List[Link] tags: List[str] restrictions: List[str] see_also: List[str] antonyms: List[str] source: List[Source] info: List[str] class Japanese(BaseModel): # Japanese Word - full fledged kanji # Is optional because there are words that are just kana word: Optional[str] # Kana reading reading: Optional[str] @property def name(): if self.word: return self.word return self.reading class WordConfig(BaseModel): slug: str is_common: Optional[bool] tags: List[str] jlpt: List[str] japanese: List[Japanese] senses: List[Sense] def __iter__(self): yield from self.senses

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