xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

1420b5636f3d9df34dca6ec55321637de72a8c50

1,950

py

Python

packages/modification_rules.py

VoigtLab/ripp-design

5a83cc0e38b879d548ba836af5a9dadbe83aeadd

[ "MIT" ]

null

packages/modification_rules.py

VoigtLab/ripp-design

5a83cc0e38b879d548ba836af5a9dadbe83aeadd

[ "MIT" ]

null

packages/modification_rules.py

VoigtLab/ripp-design

5a83cc0e38b879d548ba836af5a9dadbe83aeadd

[ "MIT" ]

null

aas = 'FILWVMYCPAGTSQNEDHKR' core_rules_r = dict([ ['tgnb' , r"[GFL][PHL][DS][TSVH][T][IMEH][VSR][T][EKRSAVLG][T][ITS][E][NSQM][AVRFW][D][PI][DS][EAMW][YLST][FYEP][LAFQG]"], ['plpxy', r"[AT][VTCQSNKRP][AS][A][MLN][Y][G][VATS][V][FITEKP][P]"], ['paap' , r"[E][E][NSTDKRYV][AMTGP][MVSTNHD][YF][TSAVLWYG][KRSAY][GSTEHMVL][QNTHALVPG][VLATKRW][IKQ][VING][LVAKQRS][SA]"], ['lynd' , r"[LIMVAYWFTQSNKRHEDGP][C][SNTQYWFDEKRHLIMVAGP]"], ['lasf' , r"[Q][LVYS][V][GAW][RV][RV][NEL][I]$"], ['pals' , r"[GPNSQHRVI][C][GS][GSQCH]"], ['epid' , r"[GL][SE][FVKG][NQTRY][SQRG][YLN][CV][C]$"], ['thcok', r"[YWA][S]$"], ['padek', r"[HYFWALGP][YLC][D][S]$"], ['tevp' , r"[FWMYCAGTSQNDHKR]"]]) core_rules = dict([(k,[set(cr) for cr in v.strip('$').strip(']').strip('[').split('][')]) for k, v in core_rules_r.items()]) #spacing rule tuple is arranged as: # (optimal RS-to-mod distance, # position of the mod in the core motif above (0 is at the beginning of the motif), # insertion spring constant (compression, kc), # deletion spring constant (stretching, ks)) spacing_rules = dict([ ['tgnb' , (37 , 4, 140 , 40 )], ['plpxy', (6 , 5, 16 , 1700)], ['paap' , (0 , 0, 5500 , 5800)], ['lynd' , (8 , 1, 10 , 300 )], ['lasf' , (None, 7, None , None)], ['pals' , (None, 1, None , None)], ['epid' , (None, 7, None , None)], ['thcok', (None, 1, None , None)], ['padek', (None, 3, None , None)], ['tevp' , (0 , 0, 1000000000, 1000000000)]]) recognition_sites = dict([ ['tgnb' , "PYIAKYVEE"], ['plpxy', "ELNEEELEAIAG"], ['paap' , "FSTLSQRISAIT"], ['lynd' , "LAELSEEAL"], ['tevp' , "ENLYFQ"]]) leaders = dict([ ['tgnb' , ("YR","QTLQNSTNLVYDDITQISFINKEKNVKKINL")], ['plpxy', ("SIESAKAFYQRMTDDASFRTPFEAELSKEERQQLIKDSGYDFTAEEWQQAMTEIQAARSNE","G")], ['paap' , ("IK","")], ['lynd' , ("NKKNILPQLGQPVIRLTAGQLSSQ","GGVDAS")], ['tevp' , ("","")]])

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142153febfd732a27d28ccaae5410a49667aa838

629

py

Python

mysort/quick_sort_2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

1

2022-03-29T09:20:19.000Z

mysort/quick_sort_2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

null

mysort/quick_sort_2.py

UMP-45/Python_Study

75126a432230b226f27f2a7434d848bd0ce5696e

[ "Unlicense" ]

null

#!/usr/bin/env python3 # -*- coding:utf-8 -*- def quick_sort(array, left, right): if left<right: mid=adjust_array(array, left, right) quick_sort(array, left, mid-1) quick_sort(array, mid+1, right) def adjust_array(array, left, right): i=left j=right base_value=array[left] while i<j: while (i<j and array[j]>base_value): j=j-1 if i<j: array[i]=array[j] i=i+1 while ( i<j and array[i]<base_value): i=i+1 if i<j: array[j]=array[i] j=j-1 array[i]=base_value return i if __name__=='__main__': testlist=[1,4,6,0,3,5,7,9,2,8] n=len(testlist) quick_sort(testlist,0,n-1) print(testlist)

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142316f2e2f7f3766a103d7cbfe23336f033018a

534

py

Python

requests/ungzip-data/example-2.py

whitmans-max/python-examples

881a8f23f0eebc76816a0078e19951893f0daaaa

[ "MIT" ]

140

2017-02-21T22:49:04.000Z

2022-03-22T17:51:58.000Z

requests/ungzip-data/example-2.py

whitmans-max/python-examples

881a8f23f0eebc76816a0078e19951893f0daaaa

[ "MIT" ]

5

2017-12-02T19:55:00.000Z

2021-09-22T23:18:39.000Z

requests/ungzip-data/example-2.py

whitmans-max/python-examples

881a8f23f0eebc76816a0078e19951893f0daaaa

[ "MIT" ]

79

2017-01-25T10:53:33.000Z

2022-03-11T16:13:57.000Z

#!/usr/bin/env python3 '''Display data send as gzip''' import urllib import gzip import io url = 'http://www.stream-urls.de/webradio' r = urllib.urlopen(url) # create file-like object in memory buf = io.StringIO(r.read()) # create gzip object using file-like object instead of real file on disk f = gzip.GzipFile(fileobj=buf) # get data from file html = f.read() print('---') print(r.text[:250], '...') #print('Content-Type :', r.headers['Content-Type']) #print('Content-Encoding :', r.headers['Content-Encoding'])

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0

142c155c6fbb50f6d6e41b47affd8bd4a1cac56d

2,792

py

Python

type_analysis.py

XYPB/SpecVQGAN

ed3c0f86c41bc408824979305d9c4f6df0877973

[ "MIT" ]

null

type_analysis.py

XYPB/SpecVQGAN

ed3c0f86c41bc408824979305d9c4f6df0877973

[ "MIT" ]

null

type_analysis.py

XYPB/SpecVQGAN

ed3c0f86c41bc408824979305d9c4f6df0877973

[ "MIT" ]

null

import json import os AMT_testset = json.load(open('data/AMT_test_set.json', 'r')) AMT_trainset = json.load(open('data/greatesthit_train_2.00.json', 'r')) AMT_validset = json.load(open('data/greatesthit_valid_2.00.json', 'r')) greatest_testset = json.load(open('data/greatesthit_test_2.00.json', 'r')) record_dir = 'data/greatesthit/greatesthit_processed' match_dict = {} type_dict = {} overall_cnt = {True: 0, False: 0} def process_action(name, st): record_path = os.path.join(record_dir, name, 'hit_record.json') record = json.load(open(record_path, 'r')) action_cnt = {} for (t, action) in record: if t >= st and t <= st + 2: _, act = action.split(' ') if act not in action_cnt.keys(): action_cnt[act] = 0 action_cnt[act] += 1 return action_cnt def process_type(name, st, drop_none=False): record_path = os.path.join(record_dir, name, 'hit_record.json') record = json.load(open(record_path, 'r')) action_cnt = {} for (t, action) in record: if 'None' in action: continue if t >= st and t <= st + 2: if action not in action_cnt.keys(): action_cnt[action] = 0 action_cnt[action] += 1 return action_cnt def check_match(cnt1, cnt2): type1 = list(cnt1.keys()) if 'None' in type1: type1.remove('None') type2 = list(cnt2.keys()) if 'None' in type2: type2.remove('None') for t in type1: if t not in type2: return False for t in type2: if t not in type1: return False return True if __name__ == '__main__': # for target in AMT_testset: # target_name, start_time = target.split('_') # target_action_cnt = process_action(target_name, float(start_time)) # match_dict[target] = {} # type_dict[target] = target_action_cnt # for condition in AMT_testset[target]: # cond_name, start_time = condition.split('_') # cond_action_cnt = process_action(cond_name, float(start_time)) # match_dict[target][condition] = check_match(target_action_cnt, cond_action_cnt) # overall_cnt[match_dict[target][condition]] += 1 # type_dict[condition] = cond_action_cnt # json.dump(match_dict, open('data/AMT_test_set_match_dict.json', 'w')) print(len(greatest_testset)) for video_idx in greatest_testset: name, idx = video_idx.split('_') time = float(idx) / 22050 action_cnt = process_type(name, time) if len(action_cnt.keys()) == 1: type_dict[video_idx] = list(action_cnt.keys())[0] print(len(type_dict)) json.dump(type_dict, open('data/greatesthit_test_2.00_single_type_only.json', 'w'))

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142f394af6643e95062c23f47632b2841495c600

2,512

py

Python

graphics/pellet_swrl_barchart.py

edlectrico/dissertation

eec342383ef4f15968e6417020681a3eb095bf08

[ "Apache-2.0" ]

null

graphics/pellet_swrl_barchart.py

edlectrico/dissertation

eec342383ef4f15968e6417020681a3eb095bf08

[ "Apache-2.0" ]

null

graphics/pellet_swrl_barchart.py

edlectrico/dissertation

eec342383ef4f15968e6417020681a3eb095bf08

[ "Apache-2.0" ]

null

#!/usr/bin/env python import matplotlib matplotlib.rcParams['legend.fancybox'] = True import matplotlib.pyplot as plt import numpy as np #data x = [1, 2, 3, 4] #define some data x = [5000, 10000, 15000, 20000] pc_mean = [4.770, 6.327, 7.427, 8.147] s3mini_mean = [96.878, 101.656, 243.981, 331.433] s3_mean = [84.121, 74.248, 209.431, 216.005] nexus10_mean = [22.317, 45.193, 85.543, 107.151] #error data pc_error = [0.141, 0.164, 0.444, 0.105] s3mini_error = [0.109, 0.322, 0.298, 0.110] s3_error = [0.869, 0.250, 1.699, 1.202] nexus10_error = [0.333, 1.312, 5.490, 2.749] ind = np.arange(4) # the x locations for the groups width = 0.20 # the width of the bars fig, ax = plt.subplots() #plot data rects1 = ax.bar(ind, pc_mean, width, color='r', yerr=pc_error) rects2 = ax.bar(ind+width, s3mini_mean, width, color='y', yerr=s3mini_error) rects3 = ax.bar(ind+width+width, s3_mean, width, color='b', yerr=s3_error) rects4 = ax.bar(ind+width+width+width, nexus10_mean, width, color='g', yerr=nexus10_error) #configure X axes plt.xlim(0,4) plt.xticks(ind+width) #configure Y axes plt.ylim(0.0, 350.0) plt.yticks([0.0, 50.0, 100.0, 150.0, 200.0, 250.0, 300.0, 350.0]) #labels plt.ylabel('Time (s)' + '\n') plt.xlabel('SWRL axioms' + '\n') #title #plt.title('Resulting means by increasing the number of ABox axioms using Pellet and Pellet4Android' + '\n') ax.set_xticklabels( ('5,000', '10,000', '15,000', '20,000') ) ax.legend( (rects1[0], rects2[0], rects3[0], rects4[0]), ('PC', 'Samsung Galaxy SIII Mini', 'Samsung Galaxy SIII', 'Nexus 10') ) def autolabel(rects): # attach some text labels for rect in rects: height = rect.get_height() ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height), ha='center', va='bottom') autolabel(rects1) autolabel(rects2) autolabel(rects3) autolabel(rects4) for t, a in zip(x, pc_mean): plt.plot([t], [a], 'b',) plt.annotate(round(a, 3), xy=(t, a), xytext=(t + 0.01, a + 0.01), color='black') for t, a in zip(x, s3mini_mean): plt.plot([t], [a], 'b',) plt.annotate(round(a, 3), xy=(t, a), xytext=(t + 0.01, a + 0.01), color='black') for t, a in zip(x, s3_mean): plt.plot([t], [a], 'b',) plt.annotate(round(a, 3), xy=(t, a), xytext=(t + 0.01, a + 0.01), color='black') for t, a in zip(x, nexus10_mean): plt.plot([t], [a], 'b',) plt.annotate(round(a, 3), xy=(t, a), xytext=(t + 0.01, a + 0.01), color='black') #save plot plt.savefig('pellet_swrl.pdf') plt.show()

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null

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14304bb0fc36ef4f288e68a1bc0d0727900e0859

6,039

py

Python

transfer_learning.py

benedictquartey/Chiromancer

9dcf2ffaf059680a8fa8c71a37c9156927ccc7ec

[ "MIT" ]

4

2019-07-18T22:50:47.000Z

2021-01-20T22:02:15.000Z

transfer_learning.py

benedictquartey/Chiromancer

9dcf2ffaf059680a8fa8c71a37c9156927ccc7ec

[ "MIT" ]

null

transfer_learning.py

benedictquartey/Chiromancer

9dcf2ffaf059680a8fa8c71a37c9156927ccc7ec

[ "MIT" ]

1

2019-11-22T13:47:17.000Z

#adapted from PyimageSearch for testing accuracy between my standard NN_model architecture and a popular model # set the matplotlib backend so figures can be saved in the background import matplotlib matplotlib.use("Agg") import data_processing from keras.preprocessing.image import ImageDataGenerator from keras.applications import VGG16 from keras.layers.core import Dropout from keras.layers.core import Flatten from keras.layers.core import Dense from keras.layers import Input from keras.models import Model from keras.optimizers import SGD from sklearn.metrics import classification_report from imutils import paths import matplotlib.pyplot as plt import numpy as np import pickle import os import keras from keras.callbacks import ModelCheckpoint num_classes = 6 # seeding to enable exact reproduction of learning results np.random.seed(0) def preprocess(): (X_train, X_test, Y_train, Y_test)=data_processing.prepareData() x_train = np.array(X_train) y_train = np.array(Y_train) x_test = np.array(X_test) y_test = np.array(Y_test) #more reshaping x_train = x_train.astype('float32') x_test = x_test.astype('float32') x_train /= 255 x_test /= 255 print('x_train shape:', x_train.shape) print(x_train.shape[0], 'train samples') print(x_test.shape[0], 'test samples') return(x_train,x_test,y_train,y_test) def plot_training(H, N, plotPath): # construct a plot that plots and saves the training history plt.style.use("ggplot") plt.figure() plt.plot(np.arange(0, N), H.history["loss"], label="train_loss") plt.plot(np.arange(0, N), H.history["val_loss"], label="val_loss") plt.plot(np.arange(0, N), H.history["acc"], label="train_acc") plt.plot(np.arange(0, N), H.history["val_acc"], label="val_acc") plt.title("Training Loss and Accuracy") plt.xlabel("Epoch #") plt.ylabel("Loss/Accuracy") plt.legend(loc="lower left") plt.savefig(plotPath) # initialize the training data augmentation object trainAug = ImageDataGenerator( rotation_range=30, zoom_range=0.15, width_shift_range=0.2, height_shift_range=0.2, shear_range=0.15, horizontal_flip=True, fill_mode="nearest") # initialize the validation/testing data augmentation object valAug = ImageDataGenerator() mean = np.array([123.68, 116.779, 103.939], dtype="float32") trainAug.mean = mean valAug.mean = mean (x_train, x_test, y_train, y_test)=preprocess() y_train = keras.utils.to_categorical(y_train, num_classes) y_test = keras.utils.to_categorical(y_test, num_classes) # initialize the training generator trainGen = trainAug.flow(x_train,y_train,batch_size=32) # initialize the validation generator valGen = valAug.flow(x_test,y_test,batch_size=32) # CNN surgury # load the VGG16 network, ensuring the head FC layer sets are left # off baseModel = VGG16(weights="imagenet", include_top=False, input_tensor=Input(shape=(245, 240, 3))) # construct the head of the model that will be placed on top of the # the base model headModel = baseModel.output headModel = Flatten(name="flatten")(headModel) headModel = Dense(512, activation="relu")(headModel) headModel = Dropout(0.5)(headModel) headModel = Dense(num_classes, activation="softmax")(headModel) # place the head FC model on top of the base model (this will become # the actual model we will train) model = Model(inputs=baseModel.input, outputs=headModel) # loop over all layers in the base model and freeze them so they will # *not* be updated during the first training process for layer in baseModel.layers: layer.trainable = False # compile our model (this needs to be done after our setting our # layers to being non-trainable print("[INFO] compiling model...") opt = SGD(lr=1e-4, momentum=0.9) model.compile(loss="categorical_crossentropy", optimizer=opt, metrics=["accuracy"]) # train the head of the network for a few epochs (all other layers # are frozen) -- this will allow the new FC layers to start to become # initialized with actual "learned" values versus pure random print("[INFO] training head...") H = model.fit_generator( trainGen, steps_per_epoch=10 , validation_data=valGen, validation_steps=30, epochs=20, verbose=1) # reset the testing generator and evaluate the network after # fine-tuning just the network head print("[INFO] evaluating after fine-tuning network head...") valGen.reset() plot_training(H, 20, 'head_only_plot' ) #now to unfreeze some of the latter conv layers # reset our data generators trainGen.reset() valGen.reset() # now that the head FC layers have been trained/initialized, lets # unfreeze the final set of CONV layers and make them trainable for layer in baseModel.layers[15:]: layer.trainable = True # loop over the layers in the model and show which ones are trainable # or not for layer in baseModel.layers: print("{}: {}".format(layer, layer.trainable)) # callback function to be executed after every training epoch, only saves the trsined model # if its validation mean_squared_error is less than the model from the previoud epoch interimModelPoint = ModelCheckpoint('model-{epoch:03d}.h5', monitor='val_loss', verbose=0, save_best_only = 'true', mode = 'auto') # for the changes to the model to take affect we need to recompile # the model, this time using SGD with a *very* small learning rate print("[INFO] re-compiling model...") opt = SGD(lr=1e-4, momentum=0.9) model.compile(loss="categorical_crossentropy", optimizer=opt, metrics=["accuracy"]) # train the model again, this time fine-tuning *both* the final set # of CONV layers along with our set of FC layers print("[INFO] training head and latter conv...") H = model.fit_generator( trainGen, steps_per_epoch=10 , validation_data=valGen, validation_steps=30, epochs=10, callbacks = [interimModelPoint], verbose=1) plot_training(H, 10, 'full_training_plot' ) # # serialize the model to disk # print("[INFO] serializing network...") # model.save('models/model.h5')

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143077d32ff1589b7aba438263ce1a1ace1fb22c

4,174

py

Python

app/voxity/__init__.py

voxity/vox-ui-api

9da442a2ae8e5fec92485cf7dc4adf1a560aa8f5

[ "MIT" ]

null

app/voxity/__init__.py

voxity/vox-ui-api

9da442a2ae8e5fec92485cf7dc4adf1a560aa8f5

[ "MIT" ]

null

app/voxity/__init__.py

voxity/vox-ui-api

9da442a2ae8e5fec92485cf7dc4adf1a560aa8f5

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Voxity api module.""" from __future__ import absolute_import, division, unicode_literals from requests_oauthlib import OAuth2Session from flask import current_app, session, abort from datetime import datetime, timedelta from app.utils import datetime_to_timestamp from requests.models import Response from app.voxity.error import ExceptVoxityTokenExpired _DURATION_TOKEN = timedelta(days=7) def check_respons(resp, esc_bad_resp=True): if isinstance(resp, Response): if resp.status_code == 401: session['try_refresh_token'] = 0 session.modified = True raise ExceptVoxityTokenExpired() if esc_bad_resp and resp.status_code >= 400: abort(resp.status_code) if not esc_bad_resp and resp.status_code > 400: pass return True return False def save_token(token): ''' :param dict token: token object :retype: None ''' token['expires_in'] = int(_DURATION_TOKEN.total_seconds()) token['expires_at'] = datetime_to_timestamp( datetime.now() + _DURATION_TOKEN ) session['oauth_token'] = token session['try_refresh_token'] = 0 session['user'] = self_user() session.modified = True def bind(**kwargs): return OAuth2Session(client_id=current_app.config['CLIENT_ID'], **kwargs) def refresh_token(): ''' :retryp:OAuth2Session :return:valid conector ''' vox_bind = bind( token=session['oauth_token'] ) token = vox_bind.refresh_token( current_app.config['TOKEN_URL'], client_id=current_app.config['CLIENT_ID'], client_secret=current_app.config['CLIENT_SECRET'], refresh_token=session['oauth_token']['refresh_token'], ) save_token(token) return connectors() def connectors(**kwargs): """ :param dict token: token dict, default = session[oauth_token] :retryp:OAuth2Session """ token = kwargs.get('token', session.get('oauth_token', None)) if isinstance(token, dict): return bind( token=token, auto_refresh_url=current_app.config['TOKEN_URL'], auto_refresh_kwargs={ 'client_id': current_app.config['CLIENT_ID'], 'client_secret': current_app.config['CLIENT_SECRET'] } ) else: return None def pager_dict(headers): ''' :param request.headers: :retype: dict :return: dict pagger from header response ''' return { 'total_item': headers.get('x-paging-total-records', None), 'max_page': headers.get('x-paging-total-pages', None), 'curent': headers.get('x-paging-page', 1), 'next': headers.get('x-paging-next', None), 'previous': headers.get('x-paging-previous', None), 'limit': headers.get('x-paging-limit', None) } def oauth_status(): con = connectors() if con is not None: try: return con.get( current_app.config['BASE_URL'] + '/oauth/status' ).json().get('message', 'unknow').lower() except Exception: pass return None def self_user(): con = connectors() if con is not None: resp = con.get( current_app.config['BASE_URL'] + '/users/self' ) if check_respons(resp): return resp.json()['result'] return None def logout(): con = connectors() if con is not None: resp = con.get(current_app.config['BASE_URL'] + "/logout") session['user'] = {} session['oauth_token'] = {} session['oauth_state'] = {} session.modified = True return resp return None def api_proxy(uri, method, params=None, data=None): method = method.lower() con = connectors() if uri and uri[0] != '/': uri = "/" + uri uri = current_app.config['BASE_URL'] + uri if con is None: return None if method == 'get': if params is not None and not isinstance(params, dict): raise ValueError('voxity.proxy : params must be a dict') resp = con.get(uri, params=params) return resp

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0.299065

0

null

0

null

0

1

0

14328f5773d881a1cba21ca73ad3e092c25a5373

916

py

Python

servidor.py

robsonsilv4/socket-calculadora

a452163a5d02e2c9dbc0ecce57827010a4feb48d

[ "MIT" ]

null

servidor.py

robsonsilv4/socket-calculadora

a452163a5d02e2c9dbc0ecce57827010a4feb48d

[ "MIT" ]

null

servidor.py

robsonsilv4/socket-calculadora

a452163a5d02e2c9dbc0ecce57827010a4feb48d

[ "MIT" ]

null

import socket def soma(a, b): temp = a + b return str(temp) def sub(a, b): temp = a - b return str(temp) def mult(a, b): temp = a * b return str(temp) def div(a, b): if b == 0: return 0 else: temp = a / b temp = int(temp) return str(temp) host = '' porta = 12003 servidor = socket.socket(socket.AF_INET, socket.SOCK_STREAM) servidor.bind((host, porta)) servidor.listen(1) print('O servidor está esperando uma operação e dois números...') while True: conn, addr = servidor.accept() msg = conn.recv(1024).decode() op, a, b = msg.split() a = int(a) b = int(b) resultado = 0 if op == 'soma': resultado = soma(a, b) elif op == 'subtração': resultado = sub(a, b) elif op == 'multiplicação': resultado = mult(a, b) elif op == 'divisão': resultado = div(a, b) else: print('Operação não permitida') conn.send(resultado.encode()) conn.close()

17.283019

65

0.606987

143

916

3.874126

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0.050542

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0.037906

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0.237991

916

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17.283019

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false

0

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0.047619

0

null

0

null

0

1

0

143684501c853bd1f0eecaff8605ff54a74eb3e2

1,429

py

Python

threatstack/icon_threatstack/connection/connection.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

null

threatstack/icon_threatstack/connection/connection.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

1

2021-02-23T23:57:37.000Z

threatstack/icon_threatstack/connection/connection.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

null

import insightconnect_plugin_runtime from .schema import ConnectionSchema, Input # Custom imports below from threatstack import ThreatStack from threatstack.errors import ThreatStackAPIError, ThreatStackClientError, APIRateLimitError from insightconnect_plugin_runtime.exceptions import ConnectionTestException import datetime class Connection(insightconnect_plugin_runtime.Connection): def __init__(self): super(self.__class__, self).__init__(input=ConnectionSchema()) self.client = None def connect(self, params): api_key = params.get(Input.API_KEY)["secretKey"] user_id = params.get(Input.USER_ID) org_id = params.get(Input.ORG_ID) timeout = params.get(Input.TIMEOUT, 120) self.client = ThreatStack(api_key=api_key, user_id=user_id, org_id=org_id, api_version=2, timeout=timeout) def test(self): now = datetime.datetime.now().strftime("%Y-%m-%d") try: self.client.http_request(method="get", path="agents", params={"from": now, "until": now}) except (ThreatStackAPIError, ThreatStackClientError, APIRateLimitError) as e: raise ConnectionTestException(cause="An error occurred!", assistance=e) return {"success": True}

38.621622

101

0.635409

145

1,429

6.041379

0.448276

0.027397

0.063927

0.03653

0

0.003865

0.275717

1,429

36

102

39.694444

0.842512

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0

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1

0.107143

false

0

0.214286

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0.392857

0

null

0

null

0

1

0

143819e8e38cf9f6b9a218a1dac3ea36b6289b08

3,719

py

Python

src/kgmk/ds/gen/models/tf/base.py

kagemeka/python

486ce39d97360b61029527bacf00a87fdbcf552c

[ "MIT" ]

null

src/kgmk/ds/gen/models/tf/base.py

kagemeka/python

486ce39d97360b61029527bacf00a87fdbcf552c

[ "MIT" ]

null

src/kgmk/ds/gen/models/tf/base.py

kagemeka/python

486ce39d97360b61029527bacf00a87fdbcf552c

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras.models \ import ( Model, ) tf.random.set_seed(0) from tensorflow.keras import ( layers, activations, regularizers, initializers, losses, optimizers, metrics, callbacks, ) from typing import ( Tuple, List, ) def define_callbacks( save_path: str=None, ) -> List[callbacks.Callback]: callbacks_ = [ callbacks.EarlyStopping( monitor='val_loss', patience=10, ) ] if save_path: callbacks_.append( callbacks.ModelCheckpoint( filepath=save_path, monitor='val_loss', save_best_only=True, save_weights_only=True, ) ) return callbacks_ class TFBase(Model): def __init__( self, input_shape: Tuple[int]=..., output_shape: Tuple[int]=..., **kwargs): super(TFBase, self).__init__() self.input_layer = \ layers.InputLayer( input_shape=input_shape, ) self.dropout = layers.Dropout( rate=0.3, seed=0, ) def call(self, x): return self.input_layer(x) def train_( self, train_data=..., validation_data=None, validation_split: int=0.2, save_path: str=None, epochs: int=..., batch_size: int=...): callbacks_ = define_callbacks( save_path=save_path, ) common_kwargs = { 'x': train_data[0], 'y': train_data[1], 'epochs': epochs, 'batch_size': batch_size, 'callbacks': callbacks_, } if validation_data: self.fit( **common_kwargs, validation_data= \ validation_data, ) else: self.fit( **common_kwargs, validation_split= \ validation_split, ) if save_path: self.load_weights(save_path) def _fully_connected(n: int=6): return layers.Dense( units=1<<n, activation=activations.relu, kernel_regularizer= \ regularizers.L2(l2=1e-3), ) def _simple_rnn( n: int=7, return_sequences: bool=False): return layers.SimpleRNN( units=1<<n, activation=activations.relu, recurrent_dropout=0.3, dropout=0.3, kernel_regularizer= \ regularizers.L2(l2=1e-3), return_sequences= \ return_sequences, ) def _lstm( n: int=7, return_sequences: bool=False): return layers.LSTM( units=1<<n, activation=activations.tanh, recurrent_activation= \ activations.sigmoid, unroll=False, use_bias=True, dropout=0.3, recurrent_dropout=.0, kernel_regularizer= \ regularizers.L2(l2=1e-3), return_sequences= \ return_sequences, ) def _gru( n: int=7, return_sequences: bool=False): return layers.GRU( units=1<<n, recurrent_activation= \ activations.relu, activation=activations.relu, recurrent_dropout=0.3, dropout=0.3, kernel_regularizer= \ regularizers.L2(l2=1e-3), return_sequences= \ return_sequences, ) layers.LSTM layers.LSTMCell layers.Conv1D layers.Convolution1D layers.Conv1DTranspose layers.Convolution1DTranspose layers.Conv2D layers.Conv2DTranspose layers.Convolution2D layers.Convolution2DTranspose layers.Conv3D layers.ConvLSTM2D layers.InputLayer layers.Lambda layers.GlobalAveragePooling1D layers.GlobalAvgPool1D layers.GlobalMaxPool1D layers.GlobalMaxPooling1D layers.Activation layers.Attention layers.AlphaDropout layers.Dropout layers.ELU layers.Embedding layers.ReLU layers.RNN layers.SimpleRNN layers.GRU layers.ZeroPadding1D layers.Reshape layers.Softmax layers.Bidirectional layers.Dense layers.Concatenate print(losses.Reduction.AUTO) print(type(losses.Reduction.AUTO))

17.460094

35

0.653401

414

3,719

5.678744

0.318841

0.057422

0.019141

0.052744

0.251808

0.215228

0.198639

0.183326

0.131008

0

0.021277

0.241732

3,719

213

36

17.460094

0.812411

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0

1

0.045455

false

0

0.022727

0.028409

0.107955

0.011364

0

null

0

null

0

1

0

143a56af23b19f8f358aefd76e50c5a0b55a7cd6

578

py

Python

Project_Alibaba_workload/Alibaba_cluster_predict_Total/data_preprocess.py

sssssch/jupyter-examples

cf9e26e22dcfa263bcd26323527911cdbcc2cd61

[ "MIT" ]

2

2020-07-29T13:07:52.000Z

2021-01-15T09:22:07.000Z

Project_Alibaba_workload/Alibaba_cluster_predict_Total/data_preprocess.py

sssssch/jupyter-examples

cf9e26e22dcfa263bcd26323527911cdbcc2cd61

[ "MIT" ]

null

Project_Alibaba_workload/Alibaba_cluster_predict_Total/data_preprocess.py

sssssch/jupyter-examples

cf9e26e22dcfa263bcd26323527911cdbcc2cd61

[ "MIT" ]

null

#-*-coding:utf-8-*- import pandas as pd dataset = pd.read_csv( 'machine_usage_headed.csv', index_col=1) print(dataset.head()) dataset.drop('m_number', axis=1, inplace=True) dataset.drop('mem_gps', axis=1, inplace=True) dataset.drop('mpki', axis=1, inplace=True) print(dataset.head()) dataset.columns = [ 'cpu_util_percent', 'mem_util_percent', 'net_in', 'net_out', 'disk_usage_percent'] dataset.index.name = 'Time' print(dataset.head()) k = dataset.groupby('Time').mean() #在这里，我取精确度为小数点前4位 k = round(k, 4) k.to_csv('Machine_usage_groupby.csv')

19.931034

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4.37931

0.517241

0.094488

0.125984

0.141732

0

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578

29

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19.931034

0.74502

0.058824

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0.05

0.15

0

null

0

null

0

1

0

143b49e77f95faed0f33ec50d94bcc182f1daf5e

402

py

Python

torchreid/__init__.py

iankuoli/OSNet-TopDrop

3ab57ba507e9f8939762e27834137172375cd91c

[ "MIT" ]

null

torchreid/__init__.py

iankuoli/OSNet-TopDrop

3ab57ba507e9f8939762e27834137172375cd91c

[ "MIT" ]

null

torchreid/__init__.py

iankuoli/OSNet-TopDrop

3ab57ba507e9f8939762e27834137172375cd91c

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import print_function __author__ = 'Rodolfo Quispe' __description__ = 'Top Batch Dropblock for Person Re-Identification' __url__ = 'https://github.com/RQuispeC/top-batch-dropblock' __based_on__ = 'https://github.com/KaiyangZhou/deep-person-reid' from . import ( engine, models, losses, metrics, data, optim, utils, )

22.333333

68

0.733831

47

402

5.702128

0.723404

0.074627

0.119403

0

0.169154

402

17

69

23.647059

0.802395

0

0.38806

0

1

0

false

0

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0.2

0.066667

0

null

0

null

0

1

0

14419e865d5310216570696263e0af4f4d542f91

1,192

py

Python

glaciersat/tests/test_utils.py

jlandmann/glaciersat

7d4b108c17a31cc85e568193024dabc2d590caa3

[ "MIT" ]

2

2021-02-18T22:06:04.000Z

2021-06-23T13:04:20.000Z

glaciersat/tests/test_utils.py

jlandmann/glaciersat

7d4b108c17a31cc85e568193024dabc2d590caa3

[ "MIT" ]

null

glaciersat/tests/test_utils.py

jlandmann/glaciersat

7d4b108c17a31cc85e568193024dabc2d590caa3

[ "MIT" ]

1

2021-12-08T09:03:54.000Z

import pytest from glaciersat.tests import requires_credentials from glaciersat.utils import * import configobj @requires_credentials def test_get_credentials(): cred = get_credentials(credfile=None) assert isinstance(cred, configobj.ConfigObj) cred = get_credentials(credfile='.\\.credentials') assert isinstance(cred, configobj.ConfigObj) def test_declutter(): input = np.zeros((7, 7), dtype=int) input[1:6, 1:6] = 1 # erode a lot, then leave as is res = declutter(input, 3, 1).astype(int) desired = np.zeros((7, 7), dtype=int) desired[2:5, 2:5] = 1 np.testing.assert_array_equal(res, desired) # do not erode, but dilate res = declutter(input, 1, 3).astype(int) desired = np.ones((7, 7), dtype=int) np.testing.assert_array_equal(res, desired) # erode and dilate (the offset is unfortunate though) res = declutter(input, 3, 2).astype(int) desired = np.zeros((7, 7), dtype=int) desired[1:5, 1:5] = 1 np.testing.assert_array_equal(res, desired) res = declutter(input, 2, 3).astype(int) desired = np.zeros((7, 7), dtype=int) desired[1:, 1:] = 1 np.testing.assert_array_equal(res, desired)

29.073171

57

0.676174

176

1,192

4.494318

0.295455

0.088496

0.044248

0.063211

0.480405

0.359039

0.337547

0.2933

0.247788

0.154235

0

0.037267

0.189597

1,192

40

58

29.8

0.781574

0.088926

0

0.321429

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0

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1

0.071429

false

0

0.142857

0

0.214286

0

null

0

null

0

1

0

1444c2a69f4ae5a67cb69bbbd85ac69cbd3a414e

4,553

py

Python

scripts/pred_clef2018.py

rdenaux/acred

ffe44953a96338acfe3860a9898e7f0b70b5c9cb

[ "Apache-2.0" ]

8

2020-08-31T04:14:22.000Z

2021-09-29T06:00:31.000Z

scripts/pred_clef2018.py

expertailab/acred

ee45840c942ef2fac4f26da8d756b7c47e42847c

[ "Apache-2.0" ]

null

scripts/pred_clef2018.py

expertailab/acred

ee45840c942ef2fac4f26da8d756b7c47e42847c

[ "Apache-2.0" ]

1

2020-10-07T08:09:29.000Z

# # 2020 ExpertSystem # '''Script for generating predictions for Task2 of CLEF 2018 using the acred predictor See https://github.com/clef2018-factchecking/clef2018-factchecking See also scripts/fetch-data.sh, which should download the v1.0 release and place it in the `data/evaluation/` folder. ''' import argparse import sys import os import os.path as osp import time import requests import json import pandas as pd import logging from esiutils import dictu logger = logging.getLogger(__name__) def read_all_factuality_claims(folder): files = [f for f in os.listdir(folder) if 'README' not in f] columns = ['line_number', 'speaker', 'text', 'claim_number', 'normalized_claim', 'label'] fds = {f: pd.read_csv(osp.join(folder, f), sep='\t', names=columns) for f in files} return {f: df[df['label'] != '-'] for f, df in fds.items()} def acred_as_clef_label(ci_cred, thresh=0.4): assert thresh >= 0.0 assert thresh <= 1.0 if '@type' in ci_cred: val = ci_cred['ratingValue'] else: val = ci_cred['value'] if val >= thresh: return 'TRUE' elif val <= -thresh: return 'FALSE' else: return 'HALF-TRUE' def build_parser(): parser = argparse.ArgumentParser( description='Genrate predictions for Task2 of CLEF 2018', formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument( '-inputFolder', help='Path to a folder with tsv files ending in .txt', required=True) parser.add_argument( '-outFolder', help='Path to a folder where the results should be written to', required=True) parser.add_argument( '-config', help='Path to a json file with configurations for calling the predictor') return parser def setup_logging(): root_logger = logging.getLogger('') root_logger.setLevel(logging.DEBUG) lformat = logging.Formatter( '%(asctime)s %(name)s:%(levelname)s: %(message)s') lsh = logging.StreamHandler(sys.stdout) lsh.setFormatter(lformat) root_logger.addHandler(lsh) if __name__ == '__main__': parser = build_parser() setup_logging() # do here so we can log issues during CLI parsing args = parser.parse_args() all_start = time.time() f2df = read_all_factuality_claims(args.inputFolder) assert os.path.exists(args.outFolder), 'Output folder %s must exist' % (args.outFolder) assert os.path.isdir(args.outFolder), 'Value for outFolder is not a folder' cfg = {} if args.config is not None: with open(args.config, encoding='utf8') as cf: cfg = json.load(cf) acredapi_url = cfg['acredapi_url'] cred_thresh = float(cfg['cred_threshold']) cred_path = ['reviewRating'] for f, df in f2df.items(): clef_pred = [] handled_ids = [] claims = df.to_dict(orient='records') for ci, claim in enumerate(claims): logger.info('Claim %d of %d in %s' % (ci, len(claims), f)) cid = int(claim['claim_number']) if cid in handled_ids: logger.info('Skipping as previously handled') continue url = '%s/api/v1/claim/predict/credibility?claim=%s' % ( acredapi_url, claim['normalized_claim']) resp = requests.get(url, verify=False) resp.raise_for_status() claimcreds = resp.json() credRating = dictu.get_in(claimcreds[0], cred_path) clef_pred.append({ 'id': cid, 'label': acred_as_clef_label( credRating, cred_thresh)}) handled_ids.append(cid) out_dir = '%s/reviews' % (args.outFolder) if not os.path.exists(out_dir): print('Creating dir %s for the reviews' % (out_dir)) os.makedirs(out_dir) # write CredibilityReview to outFolder fname = f.replace('.txt', '_%s.json' % cid) with open('%s/%s' % (out_dir, fname), 'w') as f_out: json.dump(claimcreds[0], f_out, indent=2) # Finished processing all input files, now write collected ratings outf = '%s/%s' % (args.outFolder, f.replace('task2-en-', 'primary-en-')) pd.DataFrame(clef_pred).to_csv( outf, header=False, index=False, sep='\t') total_s = time.time() - all_start print('Finished in %.3fs i.e. %.3fclaims/s' % ( total_s, len(clef_pred)/total_s)) print('Finished pred_clef2018')

32.755396

91

0.62025

593

4,553

4.627319

0.391231

0.023688

0.018586

0.012026

0.054665

0.021137

0

0.013049

0.259389

4,553

138

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0.800712

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0

0.066667

0

0.190929

0.016337

0

0.038095

1

0.038095

false

0

0.095238

0

0.180952

0.028571

0

null

0

null

0

1

0

1446ef1bbef7e5c334c8b012e9fde1d3a271f09c

2,712

py

Python

vnpy_pro/data/source/tdxdata.py

zhangjf76/vnpy

b7c507a90c84a6a3c34831d8daf5f8947b9858d2

[ "MIT" ]

1

2020-06-12T14:42:02.000Z

vnpy_pro/data/source/tdxdata.py

zhangjf76/vnpy

b7c507a90c84a6a3c34831d8daf5f8947b9858d2

[ "MIT" ]

null

vnpy_pro/data/source/tdxdata.py

zhangjf76/vnpy

b7c507a90c84a6a3c34831d8daf5f8947b9858d2

[ "MIT" ]

null

from datetime import timedelta, datetime from typing import List from vnpy.trader.constant import Exchange, Interval from vnpy.trader.object import BarData, HistoryRequest from vnpy_pro.data.source.dataapi import SourceDataApi from vnpy_pro.data.tdx.tdx_future_data import TdxFutureData INTERVAL_VT2JQ = { Interval.MINUTE: "1min", Interval.HOUR: "1hour", Interval.DAILY: "1day", } INTERVAL_ADJUSTMENT_MAP = { Interval.MINUTE: timedelta(minutes=1), Interval.HOUR: timedelta(hours=1), Interval.DAILY: timedelta() # no need to adjust for daily bar } class TdxdataClient(SourceDataApi): """通达信数据源""" def __init__(self): self.tdx_api = TdxFutureData() def init(self, username="", password=""): if self.tdx_api.connection_status: return True return self.tdx_api.connect() def query_history(self, req: HistoryRequest): symbol = req.symbol exchange = req.exchange interval = req.interval start = req.start end = req.end tdx_interval = INTERVAL_VT2JQ.get(interval) if not tdx_interval: return None # For adjust timestamp from bar close point (RQData) to open point (VN Trader) adjustment = INTERVAL_ADJUSTMENT_MAP[interval] # For querying night trading period data end += timedelta(1) result, bar_data = self.tdx_api.get_bars( symbol=symbol, period=tdx_interval, start_dt=start, end_dt=end ) data: List[BarData] = [] if bar_data is not None: for row in bar_data: bar = BarData( symbol=symbol, exchange=exchange, interval=interval, datetime=row.datetime.to_pydatetime() - adjustment, open_price=row.open_price, high_price=row.high_price, low_price=row.low_price, close_price=row.close_price, volume=row.volume, open_interest=row.open_interest, gateway_name=row.gateway_name ) data.append(bar) return data tdxdata_client = TdxdataClient() if __name__ == "__main__": tdxdata_client = TdxdataClient() req = HistoryRequest(symbol='SR2009', exchange=Exchange.CZCE, start=datetime(2020, 4, 1, 16, 13, 49, 896628), end=datetime(2020, 4, 11, 16, 13, 49, 896628), interval=Interval.MINUTE) test_data = tdxdata_client.query_history(req) pass

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0.588127

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2,712

5.238095

0.35034

0.020779

0.025974

0.019481

0

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0.328909

2,712

93

87

29.16129

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false

0.029412

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0

0.205882

0

null

0

null

0

1

0

144bb1749b574daae9018e81890b3f972d50fc99

1,125

py

Python

draalcore/test_utils/upload.py

jojanper/draalcore

3d3f5a53efe32c721c34d7e48267328a4e9e8402

[ "MIT" ]

1

2017-04-25T10:54:55.000Z

draalcore/test_utils/upload.py

jojanper/draalcore

3d3f5a53efe32c721c34d7e48267328a4e9e8402

[ "MIT" ]

1

2022-02-10T06:48:36.000Z

draalcore/test_utils/upload.py

jojanper/draalcore

3d3f5a53efe32c721c34d7e48267328a4e9e8402

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """File upload utility""" # System imports import os TEST_FILE_IMAGE = os.path.join(os.path.dirname(__file__), 'pic.jpg') TEST_FILE_CONTENT_HEADER = 'attachment; filename="pic.jpg"' TEST_FILE_INVALID = os.path.join(os.path.dirname(__file__), 'test.invalid') TEST_FILE_GIF = os.path.join(os.path.dirname(__file__), 'pic.gif') TEST_FILE_MP3 = os.path.join(os.path.dirname(__file__), 'audio.mp3') TEST_FILE_MP4 = os.path.join(os.path.dirname(__file__), 'video.mp4') def upload_file(api, method='test_upload1', with_file=True, test_file='test1', **kwargs): if test_file == 'test1': upload_file = TEST_FILE_IMAGE elif test_file == 'test3': upload_file = TEST_FILE_GIF elif test_file == 'audio': upload_file = TEST_FILE_MP3 elif test_file == 'video': upload_file = TEST_FILE_MP4 else: upload_file = TEST_FILE_INVALID with open(upload_file, 'rb') as fp: attachment = {"name": "test upload"} if with_file: attachment['file'] = fp return getattr(api, method)(attachment, **kwargs)

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0.673778

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1,125

4.347826

0.310559

0.182857

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0.201429

0.085714

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0.011931

0.180444

1,125

34

90

33.088235

0.747289

0.068444

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1

0.043478

false

0

0.043478

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0.130435

0

null

0

null

0

1

0

144c3cf3a9fb5486330ac336fdca1f611c47ecb6

3,029

py

Python

mudpi/utils.py

icyspace/mudpi-core

d2afffacee0ba5c5ca57eada3017495d8697c5a4

[ "BSD-4-Clause" ]

163

2020-02-17T16:34:54.000Z

2022-02-28T23:12:11.000Z

mudpi/utils.py

icyspace/mudpi-core

d2afffacee0ba5c5ca57eada3017495d8697c5a4

[ "BSD-4-Clause" ]

28

2020-05-05T19:42:25.000Z

2021-08-04T18:36:32.000Z

mudpi/utils.py

icyspace/mudpi-core

d2afffacee0ba5c5ca57eada3017495d8697c5a4

[ "BSD-4-Clause" ]

31

2020-02-27T18:30:42.000Z

2022-01-18T21:14:56.000Z

import sys import json import socket import inspect import subprocess from mudpi.extensions import Component, BaseExtension, BaseInterface def get_ip(): s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) try: # doesn't even have to be reachable s.connect(('10.255.255.255', 1)) IP = s.getsockname()[0] except Exception: IP = '127.0.0.1' finally: s.close() return IP def get_module_classes(module_name): """ Get all the classes from a module """ clsmembers = inspect.getmembers(sys.modules[module_name], inspect.isclass) return clsmembers def decode_event_data(message): if isinstance(message, dict): # print('Dict Found') return message elif isinstance(message.decode('utf-8'), str): try: temp = json.loads(message.decode('utf-8')) # print('Json Found') return temp except Exception as error: # print('Json Error. Str Found') return message.decode('utf-8') #{'event': 'Unknown', 'data': message} else: # print('Failed to detect type') return {'event': 'Unknown', 'data': message} def install_package(package, upgrade=False, target=None): """ Install a PyPi package with pip in the background. Returns boolean. """ pip_args = [sys.executable, '-m', 'pip', 'install', '--quiet', package] if upgrade: pip_args.append('--upgrade') if target: pip_args += ['--target', os.path.abspath(target)] try: return 0 == subprocess.call(pip_args) except subprocess.SubprocessError: return False def is_package_installed(package): """ Check if a package is already installed """ reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']) if '==' not in package: installed_packages = [r.decode().split('==')[0].lower() for r in reqs.split()] else: installed_packages = [r.decode().lower() for r in reqs.split()] return package in installed_packages def is_extension(cls): """ Check if a class is a MudPi Extension. Accepts class or instance of class """ if not inspect.isclass(cls): if hasattr(cls, '__class__'): cls = cls.__class__ else: return False return issubclass(cls, BaseExtension) def is_interface(cls): """ Check if a class is a MudPi Extension. Accepts class or instance of class """ if not inspect.isclass(cls): if hasattr(cls, '__class__'): cls = cls.__class__ else: return False return issubclass(cls, BaseInterface) def is_component(cls): """ Check if a class is a MudPi component. Accepts class or instance of class """ if not inspect.isclass(cls): if hasattr(cls, '__class__'): cls = cls.__class__ else: return False return issubclass(cls, Component)

29.125

86

0.601849

366

3,029

4.852459

0.322404

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0.018018

0.028716

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0.228041

0

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0.282602

3,029

104

87

29.125

0.806259

0.179267

0

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false

0

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0.426471

0

null

0

null

0

1

0

144ff03552b9b5f4adb81f6c8238173d57c8615f

482

py

Python

examples/serializers/blowfishtest.py

Jumpscale/jumpscale_examples7

7d7be2401489a0c5465950c66bbdbb266fe57fe7

[ "Apache-2.0" ]

1

2015-10-26T10:38:37.000Z

examples/serializers/blowfishtest.py

Jumpscale/jumpscale6_core

0502ddc1abab3c37ed982c142d21ea3955d471d3

[ "BSD-2-Clause" ]

null

examples/serializers/blowfishtest.py

Jumpscale/jumpscale6_core

0502ddc1abab3c37ed982c142d21ea3955d471d3

[ "BSD-2-Clause" ]

null

import os import struct from JumpScale import j import JumpScale.baselib.serializers j.application.start("blowfishtest") from random import randrange msg = "" for i in range(1000): msg += chr(randrange(0, 256)) key = "" for i in range(56): key += chr(randrange(0, 256)) # b means blowfish s = j.db.serializers.getSerializerType("b", key=key) nr = 100000 j.base.timer.start() for i in range(nr): data = s.dumps(msg) j.base.timer.stop(nr) j.application.stop()

14.606061

52

0.690871

76

482

4.381579

0.486842

0.036036

0.054054

0.099099

0

0.05

0.170124

482

32

53

15.0625

0.7825

0.033195

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0.028017

0

1

0

false

0

0.263158

0

0.263158

0

null

0

null

0

1

0

1451936f6556fb61e6556f37e17327936762d700

2,385

py

Python

plico_motor/gui/motor_control_gui.py

ArcetriAdaptiveOptics/plico_motor

955be506c6dcd21b1cc794790008f33272b9c99f

[ "MIT" ]

null

plico_motor/gui/motor_control_gui.py

ArcetriAdaptiveOptics/plico_motor

955be506c6dcd21b1cc794790008f33272b9c99f

[ "MIT" ]

null

plico_motor/gui/motor_control_gui.py

ArcetriAdaptiveOptics/plico_motor

955be506c6dcd21b1cc794790008f33272b9c99f

[ "MIT" ]

null

import sys import plico_motor from guietta import Gui, _, G, Exceptions class Runner(object): def __init__(self): self.motor = None def _setUp(self, host='localhost', port=7200, axis=1): def moveby(gui): nsteps = int(gui.nstepsby) if self.motor: self.motor.move_by(nsteps) def moveto(gui): nsteps = int(gui.nstepsto) if self.motor: self.motor.move_to(nsteps) def home(gui): if self.motor: self.motor.home() def getstatus(gui): try: if self.motor: gui.pos = self.motor.position() gui.status = self.motor.status().as_dict() else: gui.pos = '---' gui.status = 'Not connected' except Exception as e: gui.pos = str(e) gui.status = 'Not connected' def connect(gui): host = gui.host port = gui.port axis = gui.axis self.motor = plico_motor.motor(host, int(port), int(axis)) connection_gui = Gui( [ 'Host:', '__host__' ], [ 'Port:', '__port__' ], [ 'Axis:', '__axis__' ], [ ['Connect'] ] ) connection_gui.host = host connection_gui.port = port connection_gui.axis = axis connection_gui.Connect = connect control_gui = Gui( [ 'Pos:' , 'pos' , 'steps' ], [ ['Move to'] , '__nstepsto__', 'steps' ], [ ['Move by'] , '__nstepsby__', 'steps' ], [ ['Home'] , _ , _ ], [ 'Status:' , 'status' , _ ], exceptions=Exceptions.OFF ) control_gui.Moveby = moveby control_gui.Moveto = moveto control_gui.Home = home control_gui.timer_start(getstatus, 0.1) self.gui = Gui( [ G('Connection') ], [ G('Motor') ] ) self.gui.Connection = connection_gui self.gui.Motor = control_gui def run(self, argv): self._setUp(*argv) self.gui.run() def terminate(self, signal, frame): pass if __name__ == '__main__': runner = Runner() sys.exit(runner.run(sys.argv[1:]))

26.5

81

0.472537

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2,385

4.5

0.273109

0.092437

0.041083

0.042017

0.063492

0.044818

0

0.00563

0.404193

2,385

89

82

26.797753

0.748065

0

0.086957

0

0.077181

0

1

0.130435

false

0.014493

0.043478

0

0.188406

0

null

0

null

0

1

0

14532332bed6d241cade80730fa40fcc639066ed

2,389

py

Python

Manager/views.py

franklinwagbara/Brookstone-Pastoral-Management-System

a8a4cd66fbb7284e3cd61539bc313100ebd14f94

[ "MIT" ]

null

Manager/views.py

franklinwagbara/Brookstone-Pastoral-Management-System

a8a4cd66fbb7284e3cd61539bc313100ebd14f94

[ "MIT" ]

null

Manager/views.py

franklinwagbara/Brookstone-Pastoral-Management-System

a8a4cd66fbb7284e3cd61539bc313100ebd14f94

[ "MIT" ]

null

from django.shortcuts import render, redirect from .forms import SeasonForm, CurrentSeasonForm from django.contrib import messages from .functions import InitializeOtherSeasonValues from StudentManager.models import Seasons, Students, CurrentSeason from django.contrib.auth.decorators import login_required from Dashboard.decorators import admin @login_required(login_url='login') @admin def createSeason(request): if request.method == 'POST': form = SeasonForm(request.POST or None, request.FILES or None) if form.is_valid(): Season = str(form.cleaned_data['SeasonName']) if Seasons.objects.filter(SeasonName=Season).exists(): message = "Operation Failed!: Season Name already exists. Try using another name." else: form.save() message = InitializeOtherSeasonValues(Season) message = "Season Creation " + message if "Failed" in message: messages.error(request, message) else: messages.success(request, message) form = SeasonForm() return render(request, 'createSeason.html', {'form': form}) else: form = SeasonForm() return render(request, 'createSeason.html', {'form': form}) @login_required(login_url='login') @admin def changeCurrentSeason(request): message="" currentseason = CurrentSeason.objects.get(pk=1) form = CurrentSeasonForm(instance=currentseason) if request.method == 'POST': form = CurrentSeasonForm(request.POST or None, request.FILES or None, instance=currentseason) if form.is_valid(): form.save() seasonName = str(form.cleaned_data['Season']) message = InitializeOtherSeasonValues(seasonName) if "Failed" in message: messages.error(request, message) else: messages.success(request, message) return redirect("Manager-changeCurrentSeason") else: form = CurrentSeasonForm(instance=currentseason) return render(request, 'changeCurrentSeason.html', {'form': form}) @login_required(login_url='login') @admin def viewSettings(request): currentSeason = CurrentSeason.objects.get(pk=1) season = currentSeason.Season return render(request, 'viewSettings.html', {'season': season})

41.189655

101

0.662202

238

2,389

6.60084

0.285714

0.044558

0.048377

0.040102

0.366645

0.337365

0.287715

0.266073

0.221515

0.156588

0

0.0011

0.239012

2,389

58

102

41.189655

0.863036

0

0.527273

0

0.107531

0.021339

0

1

0.054545

false

0

0.127273

0

0.272727

0

null

0

null

0

1

0

1453dc66d7e27b9f482339e0f5d11f6092505b1c

1,316

py

Python

easy/872-Leaf-Similar Trees.py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

2

2020-05-08T02:17:17.000Z

2020-05-17T04:55:56.000Z

easy/872-Leaf-Similar Trees.py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

null

easy/872-Leaf-Similar Trees.py

Davidxswang/leetcode

d554b7f5228f14c646f726ddb91014a612673e06

[ "Apache-2.0" ]

null

""" https://leetcode.com/problems/leaf-similar-trees/ Consider all the leaves of a binary tree. From left to right order, the values of those leaves form a leaf value sequence. For example, in the given tree above, the leaf value sequence is (6, 7, 4, 9, 8). Two binary trees are considered leaf-similar if their leaf value sequence is the same. Return true if and only if the two given trees with head nodes root1 and root2 are leaf-similar. Constraints: Both of the given trees will have between 1 and 200 nodes. Both of the given trees will have values between 0 and 200 """ # time complexity: O(n), space complexity: O(1) # Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def leafSimilar(self, root1: TreeNode, root2: TreeNode) -> bool: from itertools import zip_longest return all(x == y for x, y in zip_longest(self.dfs(root1), self.dfs(root2))) def dfs(self, root: TreeNode): if root.left is None and root.right is None: yield root.val if root.left is not None: yield from self.dfs(root.left) if root.right is not None: yield from self.dfs(root.right)

30.604651

123

0.677052

213

1,316

4.15493

0.403756

0.031638

0.057627

0.042938

0.126554

0.065537

0

0.021

0.240122

1,316

42

124

31.333333

0.864

0.612462

0

1

0.181818

false

0

0.090909

0

0.454545

0

null

0

null

0

1

0

145544a55d9f8af6fb2ce9e4cb8863368e3c6710

3,797

py

Python

server/sections/views.py

ShahriarDhruvo/DU_Hackathon

30650287a61a3314e6adb9e1c26206d4d8dbe312

[ "MIT" ]

3

2021-02-27T21:06:05.000Z

2021-08-03T16:56:22.000Z

server/sections/views.py

ShahriarDhruvo/Class-Portal-Project-350-

8ebc311a7992b61e5d15da19f0ba7dfdc059a705

[ "MIT" ]

1

2021-02-13T07:22:09.000Z

server/sections/views.py

ShahriarDhruvo/Class-Portal-Project-350-

8ebc311a7992b61e5d15da19f0ba7dfdc059a705

[ "MIT" ]

1

2021-06-14T13:25:36.000Z

from rest_framework.decorators import api_view from rest_framework.response import Response from rest_framework.exceptions import ( NotFound, APIException, PermissionDenied, ) from rest_framework.generics import ( CreateAPIView, DestroyAPIView, ListAPIView, UpdateAPIView ) from .serializers import ( SectionSerializer, SectionUpdateSerializer ) from .models import Section from rooms.models import Room from django.db.models import Q class Conflict(APIException): status_code = 409 default_code = 'conflit' default_detail = 'Item already exist.' class SectionList(ListAPIView): serializer_class = SectionSerializer def get_queryset(self): room_pk = self.kwargs.get('room_pk', None) queryset = Section.objects.filter(room_id=room_pk).order_by('id') if queryset: return queryset else: raise NotFound("No section has been created yet") class SectionCreate(CreateAPIView): serializer_class = SectionSerializer def create(self, request, *args, **kwargs): user_id = request.user.id room_pk = self.kwargs.get('room_pk', None) #is_authenticated = request.user.is_staff is_teacher = Room.objects.filter(teachers=user_id, id=room_pk) # if not is_authenticated: if not is_teacher: raise PermissionDenied( "You are not authorized to create this section!") request.data._mutable = True request.data['room'] = room_pk request.data._mutable = False return super(SectionCreate, self).create(request, *args, **kwargs) class SectionDelete(DestroyAPIView): lookup_url_kwarg = 'section_pk' def get_queryset(self): user_id = self.request.user.id #section_pk = self.kwargs.get('section_pk', None) room_pk = self.kwargs.get('room_pk', None) is_teacher = Room.objects.filter(teachers=user_id, id=room_pk) if not is_teacher: raise PermissionDenied( "You are not authorized to delete this section!") queryset = Section.objects.filter(room_id=room_pk)#id=section_pk) if queryset: return queryset else: raise NotFound("Section not found") class SectionUpdate(UpdateAPIView): serializer_class = SectionUpdateSerializer lookup_url_kwarg = 'section_pk' def get_queryset(self): user_id = self.request.user.id #section_pk = self.kwargs.get('section_pk', None) room_pk = self.kwargs.get('room_pk', None) is_teacher = Room.objects.filter(teachers=user_id, id=room_pk) if not is_teacher: raise PermissionDenied( "You are not authorized to edit this section!") queryset = Section.objects.filter(room_id=room_pk)#id=section_pk) if queryset: return queryset else: raise NotFound("Section not found") class SectionDetails(ListAPIView): serializer_class = SectionSerializer def get_queryset(self): user_id = self.request.user.id section_pk = self.kwargs.get('section_pk', None) room_pk = self.kwargs.get('room_pk', None) is_teacher = Room.objects.filter( (Q(teachers=user_id) | Q(students=user_id)), id=room_pk) if not is_teacher: raise PermissionDenied( "You are not authorized to view this section!") queryset = Section.objects.filter(id=section_pk, room_id=room_pk) if queryset: return queryset else: raise NotFound("Section not found")

27.316547

75

0.632078

433

3,797

5.364896

0.212471

0.049074

0.030994

0.051657

0.587172

0.570383

0.552734

0.478261

0.464916

0

0.001105

0.285225

3,797

138

76

27.514493

0.854827

0.049776

0

0.494505

0

0.103637

0

1

0.054945

false

0

0.087912

0

0.362637

0

null

0

null

0

1

0

145570f50fd0d5242fca2c5f9ae0324f2bd8ada0

862

py

Python

test-CapitalizeFile.py

shastriUF/appveyor-test

b85f6724fc0e5fc15618060a96da3a2c409ff2c2

[ "MIT" ]

3

2018-10-03T14:52:11.000Z

2019-10-19T07:56:26.000Z

test-CapitalizeFile.py

shastriUF/appveyor-test

b85f6724fc0e5fc15618060a96da3a2c409ff2c2

[ "MIT" ]

null

test-CapitalizeFile.py

shastriUF/appveyor-test

b85f6724fc0e5fc15618060a96da3a2c409ff2c2

[ "MIT" ]

null

import CapitalizeFile import os import sys import unittest from unittest.mock import patch class TestCapitalization(unittest.TestCase): def testUnitTestAssert(self): self.assertEqual(1, 1) def testCapitalizeFile(self): with open('.inputFile', 'w') as inputFile: inputFile.write('Hello world!') CapitalizeFile.writeToFileInAllCaps('.inputFile', '.outputFile') with open('.outputFile', 'r') as outputFile: self.assertEqual(outputFile.read(), 'HELLO WORLD!') os.remove('.inputFile') os.remove('.outputFile') def testCallCapitalizeFileWithBadArguments(self): with patch.object(sys, 'argv', ["CapitalizeFile.py", "InputFile"]): with self.assertRaises(RuntimeError): CapitalizeFile.main() if __name__ == '__main__': unittest.main()

31.925926

75

0.657773

81

862

6.901235

0.481481

0.053667

0

0.002976

0.220418

862

26

76

33.153846

0.828869

0

0.147332

0

0.181818

1

0.136364

false

0

0.227273

0

0.409091

0

null

0

null

0

1

0

14557ccde474e88eaae99ac8ee7c1c015c75995c

3,249

py

Python

tests/tests.py

ipashchenko/pulses

048078b4cd268390fe54eb25af4ecff5ffe1c0e4

[ "MIT" ]

null

tests/tests.py

ipashchenko/pulses

048078b4cd268390fe54eb25af4ecff5ffe1c0e4

[ "MIT" ]

null

tests/tests.py

ipashchenko/pulses

048078b4cd268390fe54eb25af4ecff5ffe1c0e4

[ "MIT" ]

null

from unittest import (TestCase, skipIf) import numpy as np from astropy.time import Time, TimeDelta from pulses.dsp import DSP from pulses.dedispersion import DeDisperser, noncoherent_dedispersion from pulses.preprocess import PreProcesser, create_ellipses from pulses.search import Searcher, search_shear, search_ell from pulses.pipeline import Pipeline from pulses.candidate import Candidate # Test shapes, test direction of increasing DM class TestAll(TestCase): def setUp(self): self.cache_dir = None self.meta_data = {'exp_code': 'test', 'freq': 'K', 'band': 'U', 'pol': 'LLRR', 'antenna': 'EF'} self.n_nu = 64 self.n_t = 1000 self.nu_0 = 1668. self.d_nu = 0.5 self.d_t = 0.001 self.t_0 = Time.now() self.dsp = DSP(self.n_nu, self.n_t, self.nu_0, self.d_nu, self.d_t, meta_data=self.meta_data, t_0=self.t_0) self.std = 1. self.dm = 400. self.width = 0.003 self.amp = 1.5 self.t0 = 0.5 self.dsp.add_noise(self.std) self.dsp.add_pulse(self.t0, self.amp, self.width, self.dm) self.dm_grid = np.arange(0, 1000, 20, dtype=float) ddsp = DeDisperser(noncoherent_dedispersion, self.dm_grid, nu_max=1668, d_nu=0.5, d_t=0.001, threads=4) self.ddsp = ddsp(self.dsp) def test_dsp_shape(self): self.assertEqual(self.dsp.values.shape, (self.n_nu, self.n_t)) def test_dsp_d_t(self): self.assertEqual(self.dsp.d_t, TimeDelta(self.d_t, format='sec')) def test_dsp_tfull(self): self.assertEqual(self.dsp.t[-1], self.t_0 + (self.n_t-1) * TimeDelta(self.d_t, format='sec')) def test_shear(self): searcher = Searcher(search_shear, mph=3.5, mpd=50, shear=0.4) candidates = searcher(self.ddsp) self.assertGreaterEqual(len(candidates), 1) if len(candidates) == 1: candidate = candidates[0] self.assertAlmostEqual(candidate.dm, self.dm, delta=100.) @skipIf(True, 'Passing') def test_ell(self): preprocesser = PreProcesser(create_ellipses, disk_size=3, threshold_big_perc=90., threshold_perc=97.5, statistic='mean') ddsp = preprocesser(self.ddsp) searcher = Searcher(search_ell, x_stddev=10., y_to_x_stddev=0.3, theta_lims=[130., 180.], x_cos_theta=3.) candidates = searcher(ddsp) self.assertEqual(len(candidates), 1) candidate = candidates[0] self.assertAlmostEqual(candidate.dm, self.dm, delta=100.) class TestDB(TestCase): def setUp(self): pipeline = Pipeline(None, None, [None], [None], 'db.sqlite') candidates = list() found_dmt = list() t_0 = 0. d_t = 0.001 for dm, ix_t in found_dmt: candidate = Candidate(t_0 + ix_t * TimeDelta(d_t, format='sec'), dm) candidates.append(candidate) pipeline.save_to_db(candidates)

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430

3,249

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0.304651

0.009934

0.013245

0.009934

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false

0.013699

0.123288

0

0.246575

0

null

0

null

0

1

0

1456ebcd3a9f688ca99246c1d0ee66c13a04394d

5,418

py

Python

src/unpackaged/abm/BuildingTools/model4.py

agdturner/geog5990m

b6417820e6aaff7f0c785415c0d63eae3753a098

[ "Apache-2.0" ]

null

src/unpackaged/abm/BuildingTools/model4.py

agdturner/geog5990m

b6417820e6aaff7f0c785415c0d63eae3753a098

[ "Apache-2.0" ]

null

src/unpackaged/abm/BuildingTools/model4.py

agdturner/geog5990m

b6417820e6aaff7f0c785415c0d63eae3753a098

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ __version__ 1.0.0 """ #import operator import random #import matplotlib.pyplot import time def distance_between(a, b): """ A function to calculate the distance between agent a and agent b. Args: a: A list of two coordinates for orthoganol axes. b: A list of two coordinates for the same orthoganol axes as a. Returns: The straight line distance between the a and b in the an plane given by two orthoganol axes. """ distance = ((a[1] - b[1])**2 + (a[0] - b[0])**2)**0.5 ##print("distance =", str(distance)) return distance ''' Step 1: Initialise parameters ''' print("Step 1: Initialise parameters") num_of_agents = 1000 num_of_iterations = 1000 rangey = 100 rangex = 50 deltarange = 10 random_seed = 0 # Try varying this to get different results. print("num_of_agents", num_of_agents) print("num_of_iterations", num_of_iterations) print("rangey", rangey) print("rangex", rangex) print("deltarange", deltarange) print("random_seed", random_seed) random.seed(random_seed) ''' Step 2: Initialise agents. ''' print("Step 2: Initialise agents.") agents = [] # Create a new empty list for coordinates. # Populate agents adding agents with random locations for i in range(num_of_agents): agents.append([random.randint(0,rangey),random.randint(0,rangex)]) ## Print x, y locations of agents #for i in range(num_of_agents): # print("agents[" + str(i) + "] y =", agents[i][0], "x =", agents[i][1]) ''' Step 3: Move each agent up to a small (deltarange) random amount in x and y directions num_of_iterations times. This implements a torus where agents moving off the bottom move onto the top and those moving off the left move onto the right and vice versa. ''' start = time.clock() print("Step 3: Move each agent up to a small (deltarange) random amount in", "x and y directions num_of_iterations times. This implements a torus", "where agents moving off the bottom move onto the top and those moving", "off the left move onto the right and vice versa.") for j in range(num_of_iterations): for i in range(num_of_agents): # Move y deltay = random.randint(-deltarange, deltarange) #print("deltay ", deltay) agents[i][0] = (agents[i][0] + deltay) % rangey # Move x deltax = random.randint(-deltarange, deltarange) #print("deltax ", deltax) agents[i][1] = (agents[i][1] + deltax) % rangex ## Print x, y locations #for i in range(num_of_agents): # #print(str(i), agents[i][0]) # # str(i) is used to force i to be regarded as a string. # print("agents[" + str(i) + "] y =", agents[i][0], "x =", agents[i][1]) end = time.clock() print("time = " + str(end - start)) ''' Step 4: Calculate maximum and minimum distance between agents. ''' print("Step 4: Calculate maximum and minimum distance between agents.") # Time how long this takes to calculate start = end maxdistance = distance_between(agents[0], agents[1]) mindistance = maxdistance for i in range(num_of_agents): #for j in range(num_of_agents): # Timed with and without this optimisation for j in range(i, num_of_agents): #for j in range(num_of_agents): #if (i != j): # Faster without this if statement! #if (i > j): # print("i=", i,"j=", j) distance = distance_between(agents[i], agents[j]) maxdistance = max(maxdistance, distance) mindistance = min(mindistance, distance) #print("maxdistance=", maxdistance) #print("mindistance=", mindistance) print("maxdistance=", maxdistance) print("mindistance=", mindistance) end = time.clock() print("time = " + str(end - start)) """ This code is commented out as this program was all about testing timings. ''' Step 4: Calculate, store and print out the element of agents with the largest and smallest first and second elements. ''' print("Step 5: Calculate, store and print out the element of agents with the", "largest and smallest first and second elements.") maxy = max(agents, key=operator.itemgetter(0)) print("Element of agents with the largest first element", maxy) miny = min(agents, key=operator.itemgetter(0)) print("Element of agents with the smallest first element", miny) maxx = max(agents, key=operator.itemgetter(1)) print("Element of agents with the largest second element", maxx) minx = min(agents, key=operator.itemgetter(1)) print("Element of agents with the smallest second element", minx) ''' Step 5: Plot agents. ''' print("Step 6: Plot agents.") matplotlib.pyplot.ylim(0, rangex) # This is why I think it is odd axis order! matplotlib.pyplot.xlim(0, rangey) # Plot all agents print("Plot all agents black.") for i in range(num_of_agents): matplotlib.pyplot.scatter(agents[i][0],agents[i][1], color='black') # Plot agent with the maxy blue. print("Plot agent with the maxy blue.") matplotlib.pyplot.scatter(maxy[0], maxy[1], color='blue') # Plot agent with the miny red. print("Plot agent with the miny red.") matplotlib.pyplot.scatter(miny[0], miny[1], color='red') # Plot agent with the maxy blue. print("Plot agent with the maxx pink.") matplotlib.pyplot.scatter(maxx[0], maxx[1], color='pink') # Plot agent with the miny red. print("Plot agent with the minx green.") matplotlib.pyplot.scatter(minx[0], minx[1], color='green') matplotlib.pyplot.show() """

36.857143

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0.041473

0.036016

0.029468

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0.332333

0.303956

0

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0.186969

5,418

147

81

36.857143

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0

null

0

null

0

1

0

1457921a9de9e9b972d2a00acd04f6e5e653bd5f

13,451

py

Python

project/app.py

FelippeJC/besa

083e62457c9c9beccc869beb89675720be0d248a

[ "MIT" ]

null

project/app.py

FelippeJC/besa

083e62457c9c9beccc869beb89675720be0d248a

[ "MIT" ]

2

2021-05-10T16:40:12.000Z

2021-09-05T09:26:07.000Z

project/app.py

FelippeJC/besa

083e62457c9c9beccc869beb89675720be0d248a

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os from flask import Flask, render_template, current_app from flask_migrate import Migrate from flask_restful import Api from config import Config, DevelopmentConfig, TestingConfig from .database import db from datetime import datetime import random import folium import pandas as pd from .opendata.objects import (get_barcelona_map, get_bicycle_map_layer, get_mercats_i_fires_al_carrer_map_layer, get_public_wifi_map_layer, get_bus_stations_map_layer, Data, ) ########################################################################## # Configurations ########################################################################## app = Flask(__name__) # Sets the configurations if os.environ.get('FLASK_ENV', None) == 'production': config = Config() elif os.environ.get('FLASK_ENV', None) == 'test': config = TestingConfig() else: config = DevelopmentConfig() app.config.from_object(config) # Defines the API api = Api(app) # Sets the database db.init_app(app) # Sets flask-migrate migrate = Migrate(app, db) @app.before_first_request def create_tables(): db.create_all() # HTTP error handling @app.errorhandler(404) def not_found(error): return render_template('404.html'), 404 ########################################################################## # Views ########################################################################## @app.route("/") def index(): return render_template('index.html', data=[20, 40, 40]) @app.route("/city-initiatives") def city_initiatives(): return render_template('city_initiatives.html') @app.route("/city-amenities") def city_amenities(): bcn_map = get_barcelona_map() bcn_map.add_child(get_mercats_i_fires_al_carrer_map_layer()) wifi_map_layer = get_public_wifi_map_layer() if wifi_map_layer is not None: bcn_map.add_child(wifi_map_layer) folium.LayerControl().add_to(bcn_map) return render_template('city_amenities.html', folium_map=bcn_map._repr_html_()) @app.route("/about") def about(): return render_template('about.html') ### ENVIRONMENT ### @app.route("/temperature") def temperature(): try: # temp = Data("resource_id=0e3b6840-7dff-4731-a556-44fac28a7873&limit=400") # temp_df = temp.df temp_df = pd.read_csv(current_app.open_resource("static/src/temperaturesbarcelonadesde1780.csv")) temp_df = temp_df.astype(float) temp_df.astype({'Any': 'int32'}).dtypes if "_id" in temp_df.columns: temp_df.drop('_id', axis=1, inplace=True) temp_df.set_index('Any', inplace=True) temp_df.rename(columns={'Temp_Mitjana_Gener': 'January', 'Temp_Mitjana_Febrer': 'February', 'Temp_Mitjana_Marc': 'March', 'Temp_Mitjana_Abril': 'April', 'Temp_Mitjana_Maig': 'May', 'Temp_Mitjana_Juny': 'June', 'Temp_Mitjana_Juliol': 'July', 'Temp_Mitjana_Agost': 'August', 'Temp_Mitjana_Setembre': 'September', 'Temp_Mitjana_Octubre': 'October', 'Temp_Mitjana_Novembre': 'November', 'Temp_Mitjana_Desembre': 'December'}, inplace=True) dataset = list() for (columnName, columnData) in temp_df.iteritems(): color_r, color_g, color_b = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)) dataset.append({"label": columnName, "lineTension": 0.3, "backgroundColor": "rgba({r}, {g}, {b}, 0.05)".format(r=color_r, g=color_g, b=color_b), "borderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "borderWidth": 1, "pointRadius": 1, "pointBackgroundColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointBorderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHoverRadius": 1, "pointHoverBackgroundColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHoverBorderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHitRadius": 2, "pointBorderWidth": 1, "data": list(columnData) }) year_average = dict(temp_df.mean(axis=1)) yearMaxValue = max(year_average.items(), key=lambda x: x[1]) average_temperatures = dict(temp_df.mean()) itemMinValue = min(average_temperatures.items(), key=lambda x: x[1]) itemMaxValue = max(average_temperatures.items(), key=lambda x: x[1]) # radar graph average_temperatures = sorted(average_temperatures.items(), key=lambda kv: (datetime.strptime(kv[0], '%B'), kv[1])) average_temperatures_labels = list() average_temperatures_data = list() average_temperatures_data_colors = list() for label, value in average_temperatures: average_temperatures_data_colors.append("#" + ''.join([random.choice('0123456789ABCDEF') for j in range(6)])) average_temperatures_labels.append(label) average_temperatures_data.append(value) radar_graph_data = {"labels": average_temperatures_labels, "datasets": [{ "label": "Average temperatures over time", "data": average_temperatures_data, "backgroundColor": average_temperatures_data_colors, "hoverBackgroundColor": average_temperatures_data_colors, "hoverBorderColor": "rgba(234, 236, 244, 0.1)", }], } labels = list(temp_df.index) return render_template('temperature.html', label=labels, data=dataset, radar_graph_data=radar_graph_data, itemMinValue="{month} ({temp:.2f} °C)".format(month=itemMinValue[0], temp=itemMinValue[1]), itemMaxValue="{month} ({temp:.2f} °C)".format(month=itemMaxValue[0], temp=itemMaxValue[1]), amount_of_data=len(labels), yearMaxValue="{year} with {temp:.2f} °C average".format(year=int(yearMaxValue[0]), temp=yearMaxValue[1]),) except: return render_template('blank.html') @app.route("/precipitation") def precipitation(): try: # data = Data("resource_id=6f1fb778-0767-478b-b332-c64a833d26d2&limit=400") data_df = pd.read_csv(current_app.open_resource("static/src/precipitacionsbarcelonadesde1786.csv")) data_df = data_df.astype(float) data_df.astype({'Any': 'int32'}).dtypes if "_id" in data_df.columns: data_df.drop('_id', axis=1, inplace=True) data_df.set_index('Any', inplace=True) data_df.rename(columns={'Precip_Acum_Gener': 'January', 'Precip_Acum_Febrer': 'February', 'Precip_Acum_Marc': 'March', 'Precip_Acum_Abril': 'April', 'Precip_Acum_Maig': 'May', 'Precip_Acum_Juny': 'June', 'Precip_Acum_Juliol': 'July', 'Precip_Acum_Agost': 'August', 'Precip_Acum_Setembre': 'September', 'Precip_Acum_Octubre': 'October', 'Precip_Acum_Novembre': 'November', 'Precip_Acum_Desembre': 'December'}, inplace=True) dataset = list() for (columnName, columnData) in data_df.iteritems(): color_r, color_g, color_b = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)) dataset.append({"label": columnName, "lineTension": 0.3, "backgroundColor": "rgba({r}, {g}, {b}, 0.05)".format(r=color_r, g=color_g, b=color_b), "borderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "borderWidth": 1, "pointRadius": 1, "pointBackgroundColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointBorderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHoverRadius": 1, "pointHoverBackgroundColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHoverBorderColor": "rgba({r}, {g}, {b}, 1)".format(r=color_r, g=color_g, b=color_b), "pointHitRadius": 2, "pointBorderWidth": 1, "data": list(columnData) }) average_precipitations = dict(data_df.mean()) itemMinValue = min(average_precipitations.items(), key=lambda x: x[1]) itemMaxValue = max(average_precipitations.items(), key=lambda x: x[1]) labels = list(data_df.index) year_average = dict(data_df.mean(axis=1)) yearMaxValue = max(year_average.items(), key=lambda x: x[1]) # Radar radar_labels = list() radar_values = list() radar_colors = list() for label, value in sorted(year_average.items(), key=lambda x: int(x[0])): radar_labels.append(label) radar_values.append(value) radar_colors.append("#" + ''.join([random.choice('0123456789ABCDEF') for j in range(6)])) radar_graph_data = {"labels": radar_labels, "datasets": [{ "label": "Average yearly precipitation", "data": radar_values, "backgroundColor": radar_colors, "hoverBackgroundColor": radar_colors, "hoverBorderColor": "rgba(234, 236, 244, 0.1)", }], } return render_template('precipitation.html', label=labels, data=dataset, radar_data=radar_graph_data, itemMinValue="{month} ({temp:.2f} mm)".format(month=itemMinValue[0], temp=itemMinValue[1]), itemMaxValue="{month} ({temp:.2f} mm)".format(month=itemMaxValue[0], temp=itemMaxValue[1]), amount_of_data=len(labels), yearMaxValue="{year} with {temp:.2f} mm average".format(year=int(yearMaxValue[0]), temp=yearMaxValue[1])) except: return render_template('blank.html') @app.route("/city-trees") def city_trees(): return render_template('city_trees.html') @app.route("/green-spaces") def green_spaces(): return render_template('green_spaces.html') @app.route("/waste-management") def waste_management(): return render_template('waste_management.html') ### MOBILITY ### # @app.route("/city-flow") # def city_flow(): # return render_template('city_flow.html') @app.route("/public-transportation") def public_transportation(): bcn_map = get_barcelona_map() bus_map_layer = get_bus_stations_map_layer() if bus_map_layer is not None: bcn_map.add_child(bus_map_layer) folium.LayerControl().add_to(bcn_map) return render_template('public_transportation.html', folium_map=bcn_map._repr_html_()) @app.route("/bicycle") def bicycle(): bcn_map = get_barcelona_map() bicycle_map_layer = get_bicycle_map_layer() if bicycle_map_layer is not None: bcn_map.add_child(bicycle_map_layer) folium.LayerControl().add_to(bcn_map) return render_template('bicycle.html', folium_map=bcn_map._repr_html_()) @app.route("/car") def car(): return render_template('car.html') @app.route("/traffic-incidents") def traffic_incidents(): return render_template('traffic_incidents.html') ### POPULATION ### # @app.route("/demography") # def demography(): # return render_template('demography.html') # @app.route("/society-and-welfare") # def society_and_welfare(): # return render_template('society_and_welfare.html') @app.route("/blank") def blank(): return render_template('blank.html') if __name__ == '__main__': # Bind to PORT if defined, otherwise default to 5000. port = int(os.environ.get('PORT', 5000)) app.run(host='0.0.0.0', port=port)

42.034375

137

0.544272

1,425

13,451

4.893333

0.18807

0.006884

0.057364

0.012046

0.484153

0.460204

0.426072

0.402553

0.34863

0.309049

0

0.02373

0.307635

13,451

319

138

42.166144

0.724686

0.05442

0

0.270386

0

0.185445

0.028996

0

1

0.06867

false

0

0.04721

0.042918

0.188841

0

null

0

null

0

1

0

145e44674579d43491b3bb899a2a1249d889f439

6,326

py

Python

orms_tools/sqlalchemy_tools/sa_combine.py

biobdeveloper/ormc

413d3362fdf5cd7f171dfdb56ab00299099339ed

[ "MIT" ]

9

2022-01-22T19:10:58.000Z

2022-01-27T12:49:57.000Z

orms_tools/sqlalchemy_tools/sa_combine.py

biobdeveloper/ormc

413d3362fdf5cd7f171dfdb56ab00299099339ed

[ "MIT" ]

null

orms_tools/sqlalchemy_tools/sa_combine.py

biobdeveloper/ormc

413d3362fdf5cd7f171dfdb56ab00299099339ed

[ "MIT" ]

null

import datetime from typing import List from sqlalchemy.orm import ColumnProperty, DeclarativeMeta, class_mapper from core.combine import AbstractModelCombine from core.db_primitives import CoreField, CoreModel from .sa_base import SABase, metadata, sa class SQLAlchemyModelCombine(AbstractModelCombine): metaclass = DeclarativeMeta def __init__(self, *args): super().__init__(*args) @classmethod def is_model(cls, model): return issubclass(model.__class__, cls.metaclass) and hasattr( model, "__tablename__" ) @classmethod def integer(cls, **kwargs): return sa.Integer @classmethod def character(cls, **kwargs): if kwargs.get("length"): return sa.String(**kwargs) else: return sa.Text @classmethod def boolean(cls, **kwargs): return sa.Boolean @classmethod def float(cls, **kwargs): return sa.Float @classmethod def bytes(cls, **kwargs): return sa.BINARY(**kwargs) @classmethod def decimal(cls, **kwargs): return sa.DECIMAL(**kwargs) @classmethod def date(cls, **kwargs): for key in ('auto_on_create', 'auto_on_update'): try: kwargs.pop(key) except KeyError: pass return sa.Date(**kwargs) @classmethod def datetime(cls, **kwargs): for key in ('auto_on_create', 'auto_on_update'): try: kwargs.pop(key) except KeyError: pass return sa.DateTime(**kwargs) def get_fields(self, model) -> List[ColumnProperty]: fields = [] mapper = class_mapper(model) for v in mapper.iterate_properties: if isinstance(v, ColumnProperty): fields.append(v) return fields def to_core_model(self, model: SABase) -> CoreModel: """Convert SQLAlchemy Model to CoreModel""" model_kwargs = { "tablename": model.__tablename__, "doc": model.__doc__, "fields": [self.to_core_field(field) for field in self.get_fields(model)], } unique_together = [] if hasattr(model, "__table_args__"): for arg in model.__table_args__: if isinstance(arg, sa.UniqueConstraint) and len(arg.columns) > 1: unique_together.append(tuple([col.name for col in arg.columns])) if unique_together: model_kwargs["unique_together"] = tuple(unique_together) return CoreModel(**model_kwargs) def to_core_field(self, field: ColumnProperty) -> CoreField: """Convert CoreField to SQLAlchemy field""" spec_params = {} if len(field.columns) != 1: raise column = field.expression sql_type = None for core_type in self.type_map.keys(): if core_type == column.type.python_type: sql_type = core_type break if not sql_type: raise if column.default: default_value = column.default.arg else: default_value = None if isinstance(column.type, (sa.Float, sa.DECIMAL)): if column.type.precision: spec_params["precision"] = column.type.precision if column.type.scale: spec_params["scale"] = column.type.scale if isinstance(column.type, (sa.Date, sa.DateTime)): if hasattr(column.default, 'arg') and column.default.arg.__name__ == 'utcnow': spec_params["auto_on_create"] = True if hasattr(column.onupdate, 'arg') and column.onupdate.arg.__name__ == 'utcnow': spec_params['auto_on_update'] = True try: foreign_key_column = column.foreign_keys.pop().column foreign_key = f"{foreign_key_column.table.name.capitalize()}.{foreign_key_column.name}" except KeyError: foreign_key = None core_field = CoreField( name=column.name, nullable=column.nullable, primary_key=column.primary_key, doc=column.doc, sql_type=sql_type, unique=column.unique, default=default_value, foreign_key=foreign_key, **spec_params, ) return core_field def from_core_model(self, model: CoreModel) -> SABase: """Convert CoreModel to SQLAlchemy Model""" fields = [self.from_core_field(field) for field in model.fields] fields_as_dict = {f.name: f for f in fields} unique_together = [] model_kwargs = { "__module__": model.__module__, "__qualname__": model.tablename.capitalize(), "__doc__": model.__doc__, "__tablename__": model.tablename, **fields_as_dict, } for unique_seq in model.unique_together: unique_together.append(sa.UniqueConstraint(*unique_seq)) if unique_together: model_kwargs["__table_args__"] = tuple(unique_together) sa_model = DeclarativeMeta( model.tablename.capitalize(), (SABase,), model_kwargs, ) return sa_model def from_core_field(self, field: CoreField) -> sa.Column: """Convert SQLAlchemy field to CoreField""" sa_type = self.type_map[field.sql_type] sa_type_instance = sa_type(**field.spec_params) relations = [] if field.foreign_key: relations.append( sa.ForeignKey( column=field.foreign_key.lower(), name=field.name, ), ) column_kwargs = dict( name=field.name, primary_key=field.primary_key, default=field.default, doc=field.doc, unique=field.unique, nullable=field.nullable, ) if field.spec_params.get('auto_on_create'): column_kwargs['default'] = datetime.datetime.utcnow if field.spec_params.get('auto_on_update'): column_kwargs['onupdate'] = datetime.datetime.utcnow sa_field = sa.Column(sa_type_instance, *relations, **column_kwargs) return sa_field

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0.587259

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6,326

5.212703

0.177253

0.024936

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0.024086

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0.234568

0

null

0

null

0

1

0

145e5344e9bd1be8c32e4a85709baff72526841b

5,791

py

Python

research/object_detection/dataset_tools/create_modalnet_tf_record.py

qa276390/tf-models

39fc5ec5cfbd35c79f7017f52e36ff7c404cf252

[ "Apache-2.0" ]

null

research/object_detection/dataset_tools/create_modalnet_tf_record.py

qa276390/tf-models

39fc5ec5cfbd35c79f7017f52e36ff7c404cf252

[ "Apache-2.0" ]

null

research/object_detection/dataset_tools/create_modalnet_tf_record.py

qa276390/tf-models

39fc5ec5cfbd35c79f7017f52e36ff7c404cf252

[ "Apache-2.0" ]

null

# Copyright 2017 The TensorFlow Authors. 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. # ============================================================================== from __future__ import absolute_import from __future__ import division from __future__ import print_function import re import hashlib import io import logging import os from lxml import etree import PIL.Image import tensorflow as tf from object_detection.utils import dataset_util from object_detection.utils import label_map_util class Object: def __init__(self, xmin, ymin, xmax, ymax, label): self.xmin = xmin self.ymin = ymin self.xmax = xmax self.ymax = ymax self.label = label class Image: def __init__(self, filename): self.filename = filename self.Objects = [] self.length = 0 def append(self, Object): self.Objects.append(Object) self.length += 1 flags = tf.app.flags flags.DEFINE_string( 'data_dir', '', 'Root directory to raw PASCAL VOC dataset.') flags.DEFINE_string('set', 'train', 'Convert training set, validation set or ' 'merged set.') flags.DEFINE_string('annotations_file', 'Annotations', '(Relative) path to annotations directory.') flags.DEFINE_string('output_path', '', 'Path to output TFRecord') flags.DEFINE_boolean('val', False, 'Valid or not') FLAGS = flags.FLAGS SETS = ['train', 'val', 'trainval', 'test'] VAL = FLAGS.val def read_anno(filepath): Image_list = [] with open(filepath) as fp: line = fp.readline() while(line): arr = line.split() pattern2 = re.compile("\Atrain_images/2") pattern20 = re.compile("\Atrain_images/20") # print(arr[0], end='') if(VAL and not pattern20.match(arr[0])): line = fp.readline() continue elif(not VAL and (not pattern2.match(arr[0]) or pattern20.match(arr[0]))): #print(line) line = fp.readline() continue IM = 0 print(arr[0]) for x in arr: if(IM == 0): IM = Image(x.split('/')[1]) else: feats = x.split(',') # print(feats) # print(len(feats)) Ob = Object(feats[0], feats[1], feats[2], feats[3], feats[4]) IM.append(Ob) Image_list.append(IM) line = fp.readline() return Image_list def dict_to_tf_example(data, dataset_directory): img_path = data.filename full_path = os.path.join(dataset_directory, img_path) with tf.gfile.GFile(full_path, 'rb') as fid: encoded_jpg = fid.read() encoded_jpg_io = io.BytesIO(encoded_jpg) image = PIL.Image.open(encoded_jpg_io) if image.format != 'JPEG': raise ValueError('Image format not JPEG') key = hashlib.sha256(encoded_jpg).hexdigest() width = 400 height = 600 xmin = [] ymin = [] xmax = [] ymax = [] classes = [] classes_text = [] truncated = [] poses = [] if data.length != 0: for obj in data.Objects: xmin.append(float(obj.xmin) / width) ymin.append(float(obj.ymin) / height) xmax.append(float(obj.xmax) / width) ymax.append(float(obj.ymax) / height) classes.append(int(obj.label)+1) #----------------------------wed-----------------------------------# print(data.filename+" "+str(data.length)) example = tf.train.Example(features=tf.train.Features(feature={ 'image/height': dataset_util.int64_feature(height), 'image/width': dataset_util.int64_feature(width), 'image/filename': dataset_util.bytes_feature( data.filename.encode('utf8')), 'image/source_id': dataset_util.bytes_feature( data.filename.encode('utf8')), 'image/key/sha256': dataset_util.bytes_feature(key.encode('utf8')), 'image/encoded': dataset_util.bytes_feature(encoded_jpg), 'image/format': dataset_util.bytes_feature('jpeg'.encode('utf8')), 'image/object/bbox/xmin': dataset_util.float_list_feature(xmin), 'image/object/bbox/xmax': dataset_util.float_list_feature(xmax), 'image/object/bbox/ymin': dataset_util.float_list_feature(ymin), 'image/object/bbox/ymax': dataset_util.float_list_feature(ymax), 'image/object/class/label': dataset_util.int64_list_feature(classes)})) return example def main(_): if FLAGS.set not in SETS: raise ValueError('set must be in : {}'.format(SETS)) data_dir = FLAGS.data_dir writer = tf.python_io.TFRecordWriter(FLAGS.output_path) examples_list = read_anno(FLAGS.annotations_file) print('start!') for (idx, example) in enumerate(examples_list): if idx % 10 == 0: logging.info('On image %d of %d', idx, len(examples_list)) tf_example = dict_to_tf_example(example, FLAGS.data_dir) writer.write(tf_example.SerializeToString()) print('On image %d of %d', idx, len(examples_list)) writer.close() if __name__ == '__main__': tf.app.run()

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86

0.605595

719

5,791

4.719054

0.307371

0.042146

0.023578

0.033893

0.09608

0.046566

0

0.014127

0.25436

5,791

177

87

32.717514

0.771654

0.136419

0

0.062992

0

0.120482

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0

1

0.047244

false

0

0.102362

0

0.181102

0.03937

0

null

0

null

0

1

0

14600f8835996a9b20a3a6f88d1ded4994fdafbf

6,752

py

Python

oseoserver/settings.py

pyoseo/oseoserver

8c97ee5a7d698cc989e1c8cab8cfe0db78491307

[ "Apache-2.0" ]

null

oseoserver/settings.py

pyoseo/oseoserver

8c97ee5a7d698cc989e1c8cab8cfe0db78491307

[ "Apache-2.0" ]

10

2015-02-10T17:10:33.000Z

2018-04-05T10:05:01.000Z

oseoserver/settings.py

pyoseo/oseoserver

8c97ee5a7d698cc989e1c8cab8cfe0db78491307

[ "Apache-2.0" ]

null

"""Providing custom values for oseoserver's settings.""" from django.conf import settings from . import constants def _get_setting(parameter, default_value): return getattr(settings, parameter, default_value) def get_mail_recipient_handler(): return _get_setting("OSEOSERVER_MAIL_RECIPIENT_HANDLER", None) def get_processing_class(): return _get_setting( "OSEOSERVER_PROCESSING_CLASS", "oseoserver.orderpreparation.ExampleOrderProcessor" ) def get_max_order_items(): return _get_setting("OSEOSERVER_MAX_ORDER_ITEMS", 200) def get_max_active_items(): return _get_setting("OSEOSERVER_MAX_ACTIVE_ITEMS", 400) def get_massive_order_max_size(): return _get_setting("OSEOSERVER_MASSIVE_ORDER_MAX_SIZE", 1000) def get_product_order(): return _get_setting( "OSEOSERVER_PRODUCT_ORDER", { "enabled": False, "automatic_approval": False, "item_processor": "oseoserver.orderpreparation." "exampleorderprocessor.ExampleOrderProcessor", "item_availability_days": 10, "notifications": { "moderation": False, "item_availability": False, "batch_availability": None, } } ) def get_subscription_order(): return _get_setting( "OSEOSERVER_SUBSCRIPTION_ORDER", { "enabled": False, "automatic_approval": False, "item_processor": "oseoserver.orderpreparation." "exampleorderprocessor.ExampleOrderProcessor", "item_availability_days": 10, "notifications": { "moderation": True, "item_availability": False, "batch_availability": "daily", } } ) def get_tasking_order(): return _get_setting( "OSEOSERVER_TASKING_ORDER", { "enabled": False, "automatic_approval": False, "item_processor": "oseoserver.orderpreparation." "exampleorderprocessor.ExampleOrderProcessor", "item_availability_days": 10, "notifications": { "moderation": True, "item_availability": False, "batch_availability": "immediate", } } ) def get_massive_order(): return _get_setting( "OSEOSERVER_MASSIVE_ORDER", { "enabled": False, "automatic_approval": False, "item_processor": "oseoserver.orderpreparation." "exampleorderprocessor.ExampleOrderProcessor", "item_availability_days": 10, "notifications": { "moderation": True, "item_availability": False, "batch_availability": "immediate", } } ) def get_processing_options(): return _get_setting( "OSEOSERVER_PROCESSING_OPTIONS", [ { "name": "dummy option", "description": "A dummy option", "multiple_entries": False, "choices": ["first", "second"], } ] ) def get_online_data_access_options(): return _get_setting( "OSEOSERVER_ONLINE_DATA_ACCESS_OPTIONS", [ { "protocol": constants.DeliveryOptionProtocol.FTP.value, "fee": 0, }, { "protocol": constants.DeliveryOptionProtocol.HTTP.value, "fee": 0, } ] ) def get_online_data_delivery_options(): return _get_setting( "OSEOSERVER_ONLINE_DATA_DELIVERY_OPTIONS", [ { "protocol": constants.DeliveryOptionProtocol.FTP.value, "fee": 0, }, ] ) def get_media_delivery_options(): return _get_setting( "OSEOSERVER_MEDIA_DELIVERY_OPTIONS", { "media": [ { "type": constants.DeliveryMedium.CD_ROM, "fee": 0, } ], "shipping": [ constants.DeliveryMethod.ALL_READY, ] } ) def get_payment_options(): return _get_setting( "OSEOSERVER_PAYMENT_OPTIONS", [ { "name": "dummy payment option", "description": "A dummy payment option", "multiple_entries": False, "choices": None, } ] ) def get_collections(): return _get_setting( "OSEOSERVER_COLLECTIONS", [ { "name": "dummy collection", "catalogue_endpoint": "http://localhost", "collection_identifier": "dummy_collection_id", "product_price": 0, "generation_frequency": "Once per hour", "product_order": { "enabled": False, "order_processing_fee": 0, "options": [], "online_data_access_options": [], "online_data_delivery_options": [], "media_delivery_options": [], "payment_options": [], "scene_selection_options": [], }, "subscription_order": { "enabled": False, "order_processing_fee": 0, "options": [], "online_data_access_options": [], "online_data_delivery_options": [], "media_delivery_options": [], "payment_options": [], "scene_selection_options": [], }, "tasking_order": { "enabled": False, "order_processing_fee": 0, "options": [], "online_data_access_options": [], "online_data_delivery_options": [], "media_delivery_options": [], "payment_options": [], "scene_selection_options": [], }, "massive_order": { "enabled": False, "order_processing_fee": 0, "options": [], "online_data_access_options": [], "online_data_delivery_options": [], "media_delivery_options": [], "payment_options": [], "scene_selection_options": [], }, }, ] )

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0.030284

0.07571

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0.478233

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0

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0

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0

0.337814

0.189815

0

1

0.081218

false

0

0.010152

0.081218

0.172589

0

null

0

null

0

1

0

1461a6da7a9beed86ae1959d1a45ad20a0e024f7

90,700

py

Python

ietf/ydk/models/ietf/iana_if_type.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

177

2016-03-15T17:03:51.000Z

2022-03-18T16:48:44.000Z

ietf/ydk/models/ietf/iana_if_type.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

18

2016-03-30T10:45:22.000Z

2020-07-14T16:28:13.000Z

ietf/ydk/models/ietf/iana_if_type.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

85

2016-03-16T20:38:57.000Z

2022-02-22T04:26:02.000Z

""" iana_if_type This YANG module defines YANG identities for IANA\-registered interface types. This YANG module is maintained by IANA and reflects the 'ifType definitions' registry. The latest revision of this YANG module can be obtained from the IANA web site. Requests for new values should be made to IANA via email (iana@iana.org). Copyright (c) 2014 IETF Trust and the persons identified as authors of the code. All rights reserved. Redistribution and use in source and binary forms, with or without modification, is permitted pursuant to, and subject to the license terms contained in, the Simplified BSD License set forth in Section 4.c of the IETF Trust's Legal Provisions Relating to IETF Documents (http\://trustee.ietf.org/license\-info). The initial version of this YANG module is part of RFC 7224; see the RFC itself for full legal notices. """ from collections import OrderedDict from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64 from ydk.filters import YFilter from ydk.errors import YError, YModelError from ydk.errors.error_handler import handle_type_error as _handle_type_error from ydk.models.ietf.ietf_interfaces import InterfaceType class IanaInterfaceType(InterfaceType): """ This identity is used as a base for all interface types defined in the 'ifType definitions' registry. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iana-interface-type"): super(IanaInterfaceType, self).__init__(ns, pref, tag) class Other(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:other"): super(Other, self).__init__(ns, pref, tag) class Regular1822(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:regular1822"): super(Regular1822, self).__init__(ns, pref, tag) class Hdh1822(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hdh1822"): super(Hdh1822, self).__init__(ns, pref, tag) class DdnX25(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ddnX25"): super(DdnX25, self).__init__(ns, pref, tag) class Rfc877x25(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:rfc877x25"): super(Rfc877x25, self).__init__(ns, pref, tag) class EthernetCsmacd(IanaInterfaceType): """ For all Ethernet\-like interfaces, regardless of speed, as per RFC 3635. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ethernetCsmacd"): super(EthernetCsmacd, self).__init__(ns, pref, tag) class Iso88023Csmacd(IanaInterfaceType): """ Deprecated via RFC 3635. Use ethernetCsmacd(6) instead. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88023Csmacd"): super(Iso88023Csmacd, self).__init__(ns, pref, tag) class Iso88024TokenBus(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88024TokenBus"): super(Iso88024TokenBus, self).__init__(ns, pref, tag) class Iso88025TokenRing(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88025TokenRing"): super(Iso88025TokenRing, self).__init__(ns, pref, tag) class Iso88026Man(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88026Man"): super(Iso88026Man, self).__init__(ns, pref, tag) class StarLan(IanaInterfaceType): """ Deprecated via RFC 3635. Use ethernetCsmacd(6) instead. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:starLan"): super(StarLan, self).__init__(ns, pref, tag) class Proteon10Mbit(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:proteon10Mbit"): super(Proteon10Mbit, self).__init__(ns, pref, tag) class Proteon80Mbit(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:proteon80Mbit"): super(Proteon80Mbit, self).__init__(ns, pref, tag) class Hyperchannel(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hyperchannel"): super(Hyperchannel, self).__init__(ns, pref, tag) class Fddi(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fddi"): super(Fddi, self).__init__(ns, pref, tag) class Lapb(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:lapb"): super(Lapb, self).__init__(ns, pref, tag) class Sdlc(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sdlc"): super(Sdlc, self).__init__(ns, pref, tag) class Ds1(IanaInterfaceType): """ DS1\-MIB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ds1"): super(Ds1, self).__init__(ns, pref, tag) class E1(IanaInterfaceType): """ Obsolete; see DS1\-MIB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:e1"): super(E1, self).__init__(ns, pref, tag) class BasicISDN(IanaInterfaceType): """ No longer used. See also RFC 2127. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:basicISDN"): super(BasicISDN, self).__init__(ns, pref, tag) class PrimaryISDN(IanaInterfaceType): """ No longer used. See also RFC 2127. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:primaryISDN"): super(PrimaryISDN, self).__init__(ns, pref, tag) class PropPointToPointSerial(IanaInterfaceType): """ Proprietary serial. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propPointToPointSerial"): super(PropPointToPointSerial, self).__init__(ns, pref, tag) class Ppp(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ppp"): super(Ppp, self).__init__(ns, pref, tag) class SoftwareLoopback(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:softwareLoopback"): super(SoftwareLoopback, self).__init__(ns, pref, tag) class Eon(IanaInterfaceType): """ CLNP over IP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:eon"): super(Eon, self).__init__(ns, pref, tag) class Ethernet3Mbit(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ethernet3Mbit"): super(Ethernet3Mbit, self).__init__(ns, pref, tag) class Nsip(IanaInterfaceType): """ XNS over IP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:nsip"): super(Nsip, self).__init__(ns, pref, tag) class Slip(IanaInterfaceType): """ Generic SLIP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:slip"): super(Slip, self).__init__(ns, pref, tag) class Ultra(IanaInterfaceType): """ Ultra Technologies. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ultra"): super(Ultra, self).__init__(ns, pref, tag) class Ds3(IanaInterfaceType): """ DS3\-MIB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ds3"): super(Ds3, self).__init__(ns, pref, tag) class Sip(IanaInterfaceType): """ SMDS, coffee. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sip"): super(Sip, self).__init__(ns, pref, tag) class FrameRelay(IanaInterfaceType): """ DTE only. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frameRelay"): super(FrameRelay, self).__init__(ns, pref, tag) class Rs232(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:rs232"): super(Rs232, self).__init__(ns, pref, tag) class Para(IanaInterfaceType): """ Parallel\-port. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:para"): super(Para, self).__init__(ns, pref, tag) class Arcnet(IanaInterfaceType): """ ARCnet. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:arcnet"): super(Arcnet, self).__init__(ns, pref, tag) class ArcnetPlus(IanaInterfaceType): """ ARCnet Plus. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:arcnetPlus"): super(ArcnetPlus, self).__init__(ns, pref, tag) class Atm(IanaInterfaceType): """ ATM cells. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atm"): super(Atm, self).__init__(ns, pref, tag) class Miox25(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:miox25"): super(Miox25, self).__init__(ns, pref, tag) class Sonet(IanaInterfaceType): """ SONET or SDH. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sonet"): super(Sonet, self).__init__(ns, pref, tag) class X25ple(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:x25ple"): super(X25ple, self).__init__(ns, pref, tag) class Iso88022llc(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88022llc"): super(Iso88022llc, self).__init__(ns, pref, tag) class LocalTalk(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:localTalk"): super(LocalTalk, self).__init__(ns, pref, tag) class SmdsDxi(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:smdsDxi"): super(SmdsDxi, self).__init__(ns, pref, tag) class FrameRelayService(IanaInterfaceType): """ FRNETSERV\-MIB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frameRelayService"): super(FrameRelayService, self).__init__(ns, pref, tag) class V35(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:v35"): super(V35, self).__init__(ns, pref, tag) class Hssi(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hssi"): super(Hssi, self).__init__(ns, pref, tag) class Hippi(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hippi"): super(Hippi, self).__init__(ns, pref, tag) class Modem(IanaInterfaceType): """ Generic modem. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:modem"): super(Modem, self).__init__(ns, pref, tag) class Aal5(IanaInterfaceType): """ AAL5 over ATM. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aal5"): super(Aal5, self).__init__(ns, pref, tag) class SonetPath(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sonetPath"): super(SonetPath, self).__init__(ns, pref, tag) class SonetVT(IanaInterfaceType): """ """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sonetVT"): super(SonetVT, self).__init__(ns, pref, tag) class SmdsIcip(IanaInterfaceType): """ SMDS InterCarrier Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:smdsIcip"): super(SmdsIcip, self).__init__(ns, pref, tag) class PropVirtual(IanaInterfaceType): """ Proprietary virtual/internal. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propVirtual"): super(PropVirtual, self).__init__(ns, pref, tag) class PropMultiplexor(IanaInterfaceType): """ Proprietary multiplexing. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propMultiplexor"): super(PropMultiplexor, self).__init__(ns, pref, tag) class Ieee80212(IanaInterfaceType): """ 100BaseVG. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee80212"): super(Ieee80212, self).__init__(ns, pref, tag) class FibreChannel(IanaInterfaceType): """ Fibre Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fibreChannel"): super(FibreChannel, self).__init__(ns, pref, tag) class HippiInterface(IanaInterfaceType): """ HIPPI interfaces. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hippiInterface"): super(HippiInterface, self).__init__(ns, pref, tag) class FrameRelayInterconnect(IanaInterfaceType): """ Obsolete; use either frameRelay(32) or frameRelayService(44). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frameRelayInterconnect"): super(FrameRelayInterconnect, self).__init__(ns, pref, tag) class Aflane8023(IanaInterfaceType): """ ATM Emulated LAN for 802.3. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aflane8023"): super(Aflane8023, self).__init__(ns, pref, tag) class Aflane8025(IanaInterfaceType): """ ATM Emulated LAN for 802.5. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aflane8025"): super(Aflane8025, self).__init__(ns, pref, tag) class CctEmul(IanaInterfaceType): """ ATM Emulated circuit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:cctEmul"): super(CctEmul, self).__init__(ns, pref, tag) class FastEther(IanaInterfaceType): """ Obsoleted via RFC 3635. ethernetCsmacd(6) should be used instead. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fastEther"): super(FastEther, self).__init__(ns, pref, tag) class Isdn(IanaInterfaceType): """ ISDN and X.25. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:isdn"): super(Isdn, self).__init__(ns, pref, tag) class V11(IanaInterfaceType): """ CCITT V.11/X.21. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:v11"): super(V11, self).__init__(ns, pref, tag) class V36(IanaInterfaceType): """ CCITT V.36. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:v36"): super(V36, self).__init__(ns, pref, tag) class G703at64k(IanaInterfaceType): """ CCITT G703 at 64Kbps. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:g703at64k"): super(G703at64k, self).__init__(ns, pref, tag) class G703at2mb(IanaInterfaceType): """ Obsolete; see DS1\-MIB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:g703at2mb"): super(G703at2mb, self).__init__(ns, pref, tag) class Qllc(IanaInterfaceType): """ SNA QLLC. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:qllc"): super(Qllc, self).__init__(ns, pref, tag) class FastEtherFX(IanaInterfaceType): """ Obsoleted via RFC 3635. ethernetCsmacd(6) should be used instead. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fastEtherFX"): super(FastEtherFX, self).__init__(ns, pref, tag) class Channel(IanaInterfaceType): """ Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:channel"): super(Channel, self).__init__(ns, pref, tag) class Ieee80211(IanaInterfaceType): """ Radio spread spectrum. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee80211"): super(Ieee80211, self).__init__(ns, pref, tag) class Ibm370parChan(IanaInterfaceType): """ IBM System 360/370 OEMI Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ibm370parChan"): super(Ibm370parChan, self).__init__(ns, pref, tag) class Escon(IanaInterfaceType): """ IBM Enterprise Systems Connection. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:escon"): super(Escon, self).__init__(ns, pref, tag) class Dlsw(IanaInterfaceType): """ Data Link Switching. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dlsw"): super(Dlsw, self).__init__(ns, pref, tag) class Isdns(IanaInterfaceType): """ ISDN S/T interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:isdns"): super(Isdns, self).__init__(ns, pref, tag) class Isdnu(IanaInterfaceType): """ ISDN U interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:isdnu"): super(Isdnu, self).__init__(ns, pref, tag) class Lapd(IanaInterfaceType): """ Link Access Protocol D. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:lapd"): super(Lapd, self).__init__(ns, pref, tag) class IpSwitch(IanaInterfaceType): """ IP Switching Objects. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ipSwitch"): super(IpSwitch, self).__init__(ns, pref, tag) class Rsrb(IanaInterfaceType): """ Remote Source Route Bridging. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:rsrb"): super(Rsrb, self).__init__(ns, pref, tag) class AtmLogical(IanaInterfaceType): """ ATM Logical Port. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmLogical"): super(AtmLogical, self).__init__(ns, pref, tag) class Ds0(IanaInterfaceType): """ Digital Signal Level 0. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ds0"): super(Ds0, self).__init__(ns, pref, tag) class Ds0Bundle(IanaInterfaceType): """ Group of ds0s on the same ds1. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ds0Bundle"): super(Ds0Bundle, self).__init__(ns, pref, tag) class Bsc(IanaInterfaceType): """ Bisynchronous Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:bsc"): super(Bsc, self).__init__(ns, pref, tag) class Async(IanaInterfaceType): """ Asynchronous Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:async"): super(Async, self).__init__(ns, pref, tag) class Cnr(IanaInterfaceType): """ Combat Net Radio. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:cnr"): super(Cnr, self).__init__(ns, pref, tag) class Iso88025Dtr(IanaInterfaceType): """ ISO 802.5r DTR. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88025Dtr"): super(Iso88025Dtr, self).__init__(ns, pref, tag) class Eplrs(IanaInterfaceType): """ Ext Pos Loc Report Sys. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:eplrs"): super(Eplrs, self).__init__(ns, pref, tag) class Arap(IanaInterfaceType): """ Appletalk Remote Access Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:arap"): super(Arap, self).__init__(ns, pref, tag) class PropCnls(IanaInterfaceType): """ Proprietary Connectionless Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propCnls"): super(PropCnls, self).__init__(ns, pref, tag) class HostPad(IanaInterfaceType): """ CCITT\-ITU X.29 PAD Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hostPad"): super(HostPad, self).__init__(ns, pref, tag) class TermPad(IanaInterfaceType): """ CCITT\-ITU X.3 PAD Facility. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:termPad"): super(TermPad, self).__init__(ns, pref, tag) class FrameRelayMPI(IanaInterfaceType): """ Multiproto Interconnect over FR. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frameRelayMPI"): super(FrameRelayMPI, self).__init__(ns, pref, tag) class X213(IanaInterfaceType): """ CCITT\-ITU X213. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:x213"): super(X213, self).__init__(ns, pref, tag) class Adsl(IanaInterfaceType): """ Asymmetric Digital Subscriber Loop. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:adsl"): super(Adsl, self).__init__(ns, pref, tag) class Radsl(IanaInterfaceType): """ Rate\-Adapt. Digital Subscriber Loop. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:radsl"): super(Radsl, self).__init__(ns, pref, tag) class Sdsl(IanaInterfaceType): """ Symmetric Digital Subscriber Loop. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sdsl"): super(Sdsl, self).__init__(ns, pref, tag) class Vdsl(IanaInterfaceType): """ Very H\-Speed Digital Subscrib. Loop. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:vdsl"): super(Vdsl, self).__init__(ns, pref, tag) class Iso88025CRFPInt(IanaInterfaceType): """ ISO 802.5 CRFP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88025CRFPInt"): super(Iso88025CRFPInt, self).__init__(ns, pref, tag) class Myrinet(IanaInterfaceType): """ Myricom Myrinet. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:myrinet"): super(Myrinet, self).__init__(ns, pref, tag) class VoiceEM(IanaInterfaceType): """ Voice recEive and transMit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceEM"): super(VoiceEM, self).__init__(ns, pref, tag) class VoiceFXO(IanaInterfaceType): """ Voice Foreign Exchange Office. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceFXO"): super(VoiceFXO, self).__init__(ns, pref, tag) class VoiceFXS(IanaInterfaceType): """ Voice Foreign Exchange Station. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceFXS"): super(VoiceFXS, self).__init__(ns, pref, tag) class VoiceEncap(IanaInterfaceType): """ Voice encapsulation. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceEncap"): super(VoiceEncap, self).__init__(ns, pref, tag) class VoiceOverIp(IanaInterfaceType): """ Voice over IP encapsulation. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceOverIp"): super(VoiceOverIp, self).__init__(ns, pref, tag) class AtmDxi(IanaInterfaceType): """ ATM DXI. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmDxi"): super(AtmDxi, self).__init__(ns, pref, tag) class AtmFuni(IanaInterfaceType): """ ATM FUNI. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmFuni"): super(AtmFuni, self).__init__(ns, pref, tag) class AtmIma(IanaInterfaceType): """ ATM IMA. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmIma"): super(AtmIma, self).__init__(ns, pref, tag) class PppMultilinkBundle(IanaInterfaceType): """ PPP Multilink Bundle. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pppMultilinkBundle"): super(PppMultilinkBundle, self).__init__(ns, pref, tag) class IpOverCdlc(IanaInterfaceType): """ IBM ipOverCdlc. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ipOverCdlc"): super(IpOverCdlc, self).__init__(ns, pref, tag) class IpOverClaw(IanaInterfaceType): """ IBM Common Link Access to Workstn. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ipOverClaw"): super(IpOverClaw, self).__init__(ns, pref, tag) class StackToStack(IanaInterfaceType): """ IBM stackToStack. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:stackToStack"): super(StackToStack, self).__init__(ns, pref, tag) class VirtualIpAddress(IanaInterfaceType): """ IBM VIPA. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:virtualIpAddress"): super(VirtualIpAddress, self).__init__(ns, pref, tag) class Mpc(IanaInterfaceType): """ IBM multi\-protocol channel support. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mpc"): super(Mpc, self).__init__(ns, pref, tag) class IpOverAtm(IanaInterfaceType): """ IBM ipOverAtm. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ipOverAtm"): super(IpOverAtm, self).__init__(ns, pref, tag) class Iso88025Fiber(IanaInterfaceType): """ ISO 802.5j Fiber Token Ring. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:iso88025Fiber"): super(Iso88025Fiber, self).__init__(ns, pref, tag) class Tdlc(IanaInterfaceType): """ IBM twinaxial data link control. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:tdlc"): super(Tdlc, self).__init__(ns, pref, tag) class GigabitEthernet(IanaInterfaceType): """ Obsoleted via RFC 3635. ethernetCsmacd(6) should be used instead. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gigabitEthernet"): super(GigabitEthernet, self).__init__(ns, pref, tag) class Hdlc(IanaInterfaceType): """ HDLC. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hdlc"): super(Hdlc, self).__init__(ns, pref, tag) class Lapf(IanaInterfaceType): """ LAP F. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:lapf"): super(Lapf, self).__init__(ns, pref, tag) class V37(IanaInterfaceType): """ V.37. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:v37"): super(V37, self).__init__(ns, pref, tag) class X25mlp(IanaInterfaceType): """ Multi\-Link Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:x25mlp"): super(X25mlp, self).__init__(ns, pref, tag) class X25huntGroup(IanaInterfaceType): """ X25 Hunt Group. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:x25huntGroup"): super(X25huntGroup, self).__init__(ns, pref, tag) class TranspHdlc(IanaInterfaceType): """ Transp HDLC. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:transpHdlc"): super(TranspHdlc, self).__init__(ns, pref, tag) class Interleave(IanaInterfaceType): """ Interleave channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:interleave"): super(Interleave, self).__init__(ns, pref, tag) class Fast(IanaInterfaceType): """ Fast channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fast"): super(Fast, self).__init__(ns, pref, tag) class Ip(IanaInterfaceType): """ IP (for APPN HPR in IP networks). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ip"): super(Ip, self).__init__(ns, pref, tag) class DocsCableMaclayer(IanaInterfaceType): """ CATV Mac Layer. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableMaclayer"): super(DocsCableMaclayer, self).__init__(ns, pref, tag) class DocsCableDownstream(IanaInterfaceType): """ CATV Downstream interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableDownstream"): super(DocsCableDownstream, self).__init__(ns, pref, tag) class DocsCableUpstream(IanaInterfaceType): """ CATV Upstream interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableUpstream"): super(DocsCableUpstream, self).__init__(ns, pref, tag) class A12MppSwitch(IanaInterfaceType): """ Avalon Parallel Processor. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:a12MppSwitch"): super(A12MppSwitch, self).__init__(ns, pref, tag) class Tunnel(IanaInterfaceType): """ Encapsulation interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:tunnel"): super(Tunnel, self).__init__(ns, pref, tag) class Coffee(IanaInterfaceType): """ Coffee pot. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:coffee"): super(Coffee, self).__init__(ns, pref, tag) class Ces(IanaInterfaceType): """ Circuit Emulation Service. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ces"): super(Ces, self).__init__(ns, pref, tag) class AtmSubInterface(IanaInterfaceType): """ ATM Sub Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmSubInterface"): super(AtmSubInterface, self).__init__(ns, pref, tag) class L2vlan(IanaInterfaceType): """ Layer 2 Virtual LAN using 802.1Q. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:l2vlan"): super(L2vlan, self).__init__(ns, pref, tag) class L3ipvlan(IanaInterfaceType): """ Layer 3 Virtual LAN using IP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:l3ipvlan"): super(L3ipvlan, self).__init__(ns, pref, tag) class L3ipxvlan(IanaInterfaceType): """ Layer 3 Virtual LAN using IPX. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:l3ipxvlan"): super(L3ipxvlan, self).__init__(ns, pref, tag) class DigitalPowerline(IanaInterfaceType): """ IP over Power Lines. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:digitalPowerline"): super(DigitalPowerline, self).__init__(ns, pref, tag) class MediaMailOverIp(IanaInterfaceType): """ Multimedia Mail over IP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mediaMailOverIp"): super(MediaMailOverIp, self).__init__(ns, pref, tag) class Dtm(IanaInterfaceType): """ Dynamic synchronous Transfer Mode. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dtm"): super(Dtm, self).__init__(ns, pref, tag) class Dcn(IanaInterfaceType): """ Data Communications Network. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dcn"): super(Dcn, self).__init__(ns, pref, tag) class IpForward(IanaInterfaceType): """ IP Forwarding Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ipForward"): super(IpForward, self).__init__(ns, pref, tag) class Msdsl(IanaInterfaceType): """ Multi\-rate Symmetric DSL. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:msdsl"): super(Msdsl, self).__init__(ns, pref, tag) class Ieee1394(IanaInterfaceType): """ IEEE1394 High Performance Serial Bus. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee1394"): super(Ieee1394, self).__init__(ns, pref, tag) class IfGsn(IanaInterfaceType): """ HIPPI\-6400. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:if-gsn"): super(IfGsn, self).__init__(ns, pref, tag) class DvbRccMacLayer(IanaInterfaceType): """ DVB\-RCC MAC Layer. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbRccMacLayer"): super(DvbRccMacLayer, self).__init__(ns, pref, tag) class DvbRccDownstream(IanaInterfaceType): """ DVB\-RCC Downstream Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbRccDownstream"): super(DvbRccDownstream, self).__init__(ns, pref, tag) class DvbRccUpstream(IanaInterfaceType): """ DVB\-RCC Upstream Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbRccUpstream"): super(DvbRccUpstream, self).__init__(ns, pref, tag) class AtmVirtual(IanaInterfaceType): """ ATM Virtual Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmVirtual"): super(AtmVirtual, self).__init__(ns, pref, tag) class MplsTunnel(IanaInterfaceType): """ MPLS Tunnel Virtual Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mplsTunnel"): super(MplsTunnel, self).__init__(ns, pref, tag) class Srp(IanaInterfaceType): """ Spatial Reuse Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:srp"): super(Srp, self).__init__(ns, pref, tag) class VoiceOverAtm(IanaInterfaceType): """ Voice over ATM. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceOverAtm"): super(VoiceOverAtm, self).__init__(ns, pref, tag) class VoiceOverFrameRelay(IanaInterfaceType): """ Voice Over Frame Relay. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceOverFrameRelay"): super(VoiceOverFrameRelay, self).__init__(ns, pref, tag) class Idsl(IanaInterfaceType): """ Digital Subscriber Loop over ISDN. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:idsl"): super(Idsl, self).__init__(ns, pref, tag) class CompositeLink(IanaInterfaceType): """ Avici Composite Link Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:compositeLink"): super(CompositeLink, self).__init__(ns, pref, tag) class Ss7SigLink(IanaInterfaceType): """ SS7 Signaling Link. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ss7SigLink"): super(Ss7SigLink, self).__init__(ns, pref, tag) class PropWirelessP2P(IanaInterfaceType): """ Prop. P2P wireless interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propWirelessP2P"): super(PropWirelessP2P, self).__init__(ns, pref, tag) class FrForward(IanaInterfaceType): """ Frame Forward Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frForward"): super(FrForward, self).__init__(ns, pref, tag) class Rfc1483(IanaInterfaceType): """ Multiprotocol over ATM AAL5. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:rfc1483"): super(Rfc1483, self).__init__(ns, pref, tag) class Usb(IanaInterfaceType): """ USB Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:usb"): super(Usb, self).__init__(ns, pref, tag) class Ieee8023adLag(IanaInterfaceType): """ IEEE 802.3ad Link Aggregate. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee8023adLag"): super(Ieee8023adLag, self).__init__(ns, pref, tag) class Bgppolicyaccounting(IanaInterfaceType): """ BGP Policy Accounting. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:bgppolicyaccounting"): super(Bgppolicyaccounting, self).__init__(ns, pref, tag) class Frf16MfrBundle(IanaInterfaceType): """ FRF.16 Multilink Frame Relay. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frf16MfrBundle"): super(Frf16MfrBundle, self).__init__(ns, pref, tag) class H323Gatekeeper(IanaInterfaceType): """ H323 Gatekeeper. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:h323Gatekeeper"): super(H323Gatekeeper, self).__init__(ns, pref, tag) class H323Proxy(IanaInterfaceType): """ H323 Voice and Video Proxy. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:h323Proxy"): super(H323Proxy, self).__init__(ns, pref, tag) class Mpls(IanaInterfaceType): """ MPLS. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mpls"): super(Mpls, self).__init__(ns, pref, tag) class MfSigLink(IanaInterfaceType): """ Multi\-frequency signaling link. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mfSigLink"): super(MfSigLink, self).__init__(ns, pref, tag) class Hdsl2(IanaInterfaceType): """ High Bit\-Rate DSL \- 2nd generation. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hdsl2"): super(Hdsl2, self).__init__(ns, pref, tag) class Shdsl(IanaInterfaceType): """ Multirate HDSL2. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:shdsl"): super(Shdsl, self).__init__(ns, pref, tag) class Ds1FDL(IanaInterfaceType): """ Facility Data Link (4Kbps) on a DS1. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ds1FDL"): super(Ds1FDL, self).__init__(ns, pref, tag) class Pos(IanaInterfaceType): """ Packet over SONET/SDH Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pos"): super(Pos, self).__init__(ns, pref, tag) class DvbAsiIn(IanaInterfaceType): """ DVB\-ASI Input. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbAsiIn"): super(DvbAsiIn, self).__init__(ns, pref, tag) class DvbAsiOut(IanaInterfaceType): """ DVB\-ASI Output. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbAsiOut"): super(DvbAsiOut, self).__init__(ns, pref, tag) class Plc(IanaInterfaceType): """ Power Line Communications. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:plc"): super(Plc, self).__init__(ns, pref, tag) class Nfas(IanaInterfaceType): """ Non\-Facility Associated Signaling. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:nfas"): super(Nfas, self).__init__(ns, pref, tag) class Tr008(IanaInterfaceType): """ TR008. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:tr008"): super(Tr008, self).__init__(ns, pref, tag) class Gr303RDT(IanaInterfaceType): """ Remote Digital Terminal. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gr303RDT"): super(Gr303RDT, self).__init__(ns, pref, tag) class Gr303IDT(IanaInterfaceType): """ Integrated Digital Terminal. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gr303IDT"): super(Gr303IDT, self).__init__(ns, pref, tag) class Isup(IanaInterfaceType): """ ISUP. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:isup"): super(Isup, self).__init__(ns, pref, tag) class PropDocsWirelessMaclayer(IanaInterfaceType): """ Cisco proprietary Maclayer. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propDocsWirelessMaclayer"): super(PropDocsWirelessMaclayer, self).__init__(ns, pref, tag) class PropDocsWirelessDownstream(IanaInterfaceType): """ Cisco proprietary Downstream. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propDocsWirelessDownstream"): super(PropDocsWirelessDownstream, self).__init__(ns, pref, tag) class PropDocsWirelessUpstream(IanaInterfaceType): """ Cisco proprietary Upstream. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propDocsWirelessUpstream"): super(PropDocsWirelessUpstream, self).__init__(ns, pref, tag) class Hiperlan2(IanaInterfaceType): """ HIPERLAN Type 2 Radio Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:hiperlan2"): super(Hiperlan2, self).__init__(ns, pref, tag) class PropBWAp2Mp(IanaInterfaceType): """ PropBroadbandWirelessAccesspt2Multipt (use of this value for IEEE 802.16 WMAN interfaces as per IEEE Std 802.16f is deprecated, and ieee80216WMAN(237) should be used instead). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propBWAp2Mp"): super(PropBWAp2Mp, self).__init__(ns, pref, tag) class SonetOverheadChannel(IanaInterfaceType): """ SONET Overhead Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sonetOverheadChannel"): super(SonetOverheadChannel, self).__init__(ns, pref, tag) class DigitalWrapperOverheadChannel(IanaInterfaceType): """ Digital Wrapper. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:digitalWrapperOverheadChannel"): super(DigitalWrapperOverheadChannel, self).__init__(ns, pref, tag) class Aal2(IanaInterfaceType): """ ATM adaptation layer 2. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aal2"): super(Aal2, self).__init__(ns, pref, tag) class RadioMAC(IanaInterfaceType): """ MAC layer over radio links. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:radioMAC"): super(RadioMAC, self).__init__(ns, pref, tag) class AtmRadio(IanaInterfaceType): """ ATM over radio links. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmRadio"): super(AtmRadio, self).__init__(ns, pref, tag) class Imt(IanaInterfaceType): """ Inter\-Machine Trunks. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:imt"): super(Imt, self).__init__(ns, pref, tag) class Mvl(IanaInterfaceType): """ Multiple Virtual Lines DSL. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mvl"): super(Mvl, self).__init__(ns, pref, tag) class ReachDSL(IanaInterfaceType): """ Long Reach DSL. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:reachDSL"): super(ReachDSL, self).__init__(ns, pref, tag) class FrDlciEndPt(IanaInterfaceType): """ Frame Relay DLCI End Point. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:frDlciEndPt"): super(FrDlciEndPt, self).__init__(ns, pref, tag) class AtmVciEndPt(IanaInterfaceType): """ ATM VCI End Point. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmVciEndPt"): super(AtmVciEndPt, self).__init__(ns, pref, tag) class OpticalChannel(IanaInterfaceType): """ Optical Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:opticalChannel"): super(OpticalChannel, self).__init__(ns, pref, tag) class OpticalTransport(IanaInterfaceType): """ Optical Transport. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:opticalTransport"): super(OpticalTransport, self).__init__(ns, pref, tag) class PropAtm(IanaInterfaceType): """ Proprietary ATM. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:propAtm"): super(PropAtm, self).__init__(ns, pref, tag) class VoiceOverCable(IanaInterfaceType): """ Voice Over Cable Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceOverCable"): super(VoiceOverCable, self).__init__(ns, pref, tag) class Infiniband(IanaInterfaceType): """ Infiniband. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:infiniband"): super(Infiniband, self).__init__(ns, pref, tag) class TeLink(IanaInterfaceType): """ TE Link. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:teLink"): super(TeLink, self).__init__(ns, pref, tag) class Q2931(IanaInterfaceType): """ Q.2931. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:q2931"): super(Q2931, self).__init__(ns, pref, tag) class VirtualTg(IanaInterfaceType): """ Virtual Trunk Group. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:virtualTg"): super(VirtualTg, self).__init__(ns, pref, tag) class SipTg(IanaInterfaceType): """ SIP Trunk Group. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sipTg"): super(SipTg, self).__init__(ns, pref, tag) class SipSig(IanaInterfaceType): """ SIP Signaling. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sipSig"): super(SipSig, self).__init__(ns, pref, tag) class DocsCableUpstreamChannel(IanaInterfaceType): """ CATV Upstream Channel. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableUpstreamChannel"): super(DocsCableUpstreamChannel, self).__init__(ns, pref, tag) class Econet(IanaInterfaceType): """ Acorn Econet. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:econet"): super(Econet, self).__init__(ns, pref, tag) class Pon155(IanaInterfaceType): """ FSAN 155Mb Symetrical PON interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pon155"): super(Pon155, self).__init__(ns, pref, tag) class Pon622(IanaInterfaceType): """ FSAN 622Mb Symetrical PON interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pon622"): super(Pon622, self).__init__(ns, pref, tag) class Bridge(IanaInterfaceType): """ Transparent bridge interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:bridge"): super(Bridge, self).__init__(ns, pref, tag) class Linegroup(IanaInterfaceType): """ Interface common to multiple lines. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:linegroup"): super(Linegroup, self).__init__(ns, pref, tag) class VoiceEMFGD(IanaInterfaceType): """ Voice E&M Feature Group D. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceEMFGD"): super(VoiceEMFGD, self).__init__(ns, pref, tag) class VoiceFGDEANA(IanaInterfaceType): """ Voice FGD Exchange Access North American. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceFGDEANA"): super(VoiceFGDEANA, self).__init__(ns, pref, tag) class VoiceDID(IanaInterfaceType): """ Voice Direct Inward Dialing. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceDID"): super(VoiceDID, self).__init__(ns, pref, tag) class MpegTransport(IanaInterfaceType): """ MPEG transport interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mpegTransport"): super(MpegTransport, self).__init__(ns, pref, tag) class SixToFour(IanaInterfaceType): """ 6to4 interface (DEPRECATED). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:sixToFour"): super(SixToFour, self).__init__(ns, pref, tag) class Gtp(IanaInterfaceType): """ GTP (GPRS Tunneling Protocol). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gtp"): super(Gtp, self).__init__(ns, pref, tag) class PdnEtherLoop1(IanaInterfaceType): """ Paradyne EtherLoop 1. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pdnEtherLoop1"): super(PdnEtherLoop1, self).__init__(ns, pref, tag) class PdnEtherLoop2(IanaInterfaceType): """ Paradyne EtherLoop 2. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pdnEtherLoop2"): super(PdnEtherLoop2, self).__init__(ns, pref, tag) class OpticalChannelGroup(IanaInterfaceType): """ Optical Channel Group. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:opticalChannelGroup"): super(OpticalChannelGroup, self).__init__(ns, pref, tag) class Homepna(IanaInterfaceType): """ HomePNA ITU\-T G.989. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:homepna"): super(Homepna, self).__init__(ns, pref, tag) class Gfp(IanaInterfaceType): """ Generic Framing Procedure (GFP). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gfp"): super(Gfp, self).__init__(ns, pref, tag) class CiscoISLvlan(IanaInterfaceType): """ Layer 2 Virtual LAN using Cisco ISL. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ciscoISLvlan"): super(CiscoISLvlan, self).__init__(ns, pref, tag) class ActelisMetaLOOP(IanaInterfaceType): """ Acteleis proprietary MetaLOOP High Speed Link. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:actelisMetaLOOP"): super(ActelisMetaLOOP, self).__init__(ns, pref, tag) class FcipLink(IanaInterfaceType): """ FCIP Link. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:fcipLink"): super(FcipLink, self).__init__(ns, pref, tag) class Rpr(IanaInterfaceType): """ Resilient Packet Ring Interface Type. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:rpr"): super(Rpr, self).__init__(ns, pref, tag) class Qam(IanaInterfaceType): """ RF Qam Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:qam"): super(Qam, self).__init__(ns, pref, tag) class Lmp(IanaInterfaceType): """ Link Management Protocol. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:lmp"): super(Lmp, self).__init__(ns, pref, tag) class CblVectaStar(IanaInterfaceType): """ Cambridge Broadband Networks Limited VectaStar. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:cblVectaStar"): super(CblVectaStar, self).__init__(ns, pref, tag) class DocsCableMCmtsDownstream(IanaInterfaceType): """ CATV Modular CMTS Downstream Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableMCmtsDownstream"): super(DocsCableMCmtsDownstream, self).__init__(ns, pref, tag) class Adsl2(IanaInterfaceType): """ Asymmetric Digital Subscriber Loop Version 2 (DEPRECATED/OBSOLETED \- please use adsl2plus(238) instead). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:adsl2"): super(Adsl2, self).__init__(ns, pref, tag) class MacSecControlledIF(IanaInterfaceType): """ MACSecControlled. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:macSecControlledIF"): super(MacSecControlledIF, self).__init__(ns, pref, tag) class MacSecUncontrolledIF(IanaInterfaceType): """ MACSecUncontrolled. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:macSecUncontrolledIF"): super(MacSecUncontrolledIF, self).__init__(ns, pref, tag) class AviciOpticalEther(IanaInterfaceType): """ Avici Optical Ethernet Aggregate. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aviciOpticalEther"): super(AviciOpticalEther, self).__init__(ns, pref, tag) class Atmbond(IanaInterfaceType): """ atmbond. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:atmbond"): super(Atmbond, self).__init__(ns, pref, tag) class VoiceFGDOS(IanaInterfaceType): """ Voice FGD Operator Services. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceFGDOS"): super(VoiceFGDOS, self).__init__(ns, pref, tag) class MocaVersion1(IanaInterfaceType): """ MultiMedia over Coax Alliance (MoCA) Interface as documented in information provided privately to IANA. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:mocaVersion1"): super(MocaVersion1, self).__init__(ns, pref, tag) class Ieee80216WMAN(IanaInterfaceType): """ IEEE 802.16 WMAN interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee80216WMAN"): super(Ieee80216WMAN, self).__init__(ns, pref, tag) class Adsl2plus(IanaInterfaceType): """ Asymmetric Digital Subscriber Loop Version 2 \- Version 2 Plus and all variants. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:adsl2plus"): super(Adsl2plus, self).__init__(ns, pref, tag) class DvbRcsMacLayer(IanaInterfaceType): """ DVB\-RCS MAC Layer. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbRcsMacLayer"): super(DvbRcsMacLayer, self).__init__(ns, pref, tag) class DvbTdm(IanaInterfaceType): """ DVB Satellite TDM. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbTdm"): super(DvbTdm, self).__init__(ns, pref, tag) class DvbRcsTdma(IanaInterfaceType): """ DVB\-RCS TDMA. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:dvbRcsTdma"): super(DvbRcsTdma, self).__init__(ns, pref, tag) class X86Laps(IanaInterfaceType): """ LAPS based on ITU\-T X.86/Y.1323. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:x86Laps"): super(X86Laps, self).__init__(ns, pref, tag) class WwanPP(IanaInterfaceType): """ 3GPP WWAN. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:wwanPP"): super(WwanPP, self).__init__(ns, pref, tag) class WwanPP2(IanaInterfaceType): """ 3GPP2 WWAN. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:wwanPP2"): super(WwanPP2, self).__init__(ns, pref, tag) class VoiceEBS(IanaInterfaceType): """ Voice P\-phone EBS physical interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:voiceEBS"): super(VoiceEBS, self).__init__(ns, pref, tag) class IfPwType(IanaInterfaceType): """ Pseudowire interface type. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ifPwType"): super(IfPwType, self).__init__(ns, pref, tag) class Ilan(IanaInterfaceType): """ Internal LAN on a bridge per IEEE 802.1ap. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ilan"): super(Ilan, self).__init__(ns, pref, tag) class Pip(IanaInterfaceType): """ Provider Instance Port on a bridge per IEEE 802.1ah PBB. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:pip"): super(Pip, self).__init__(ns, pref, tag) class AluELP(IanaInterfaceType): """ Alcatel\-Lucent Ethernet Link Protection. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluELP"): super(AluELP, self).__init__(ns, pref, tag) class Gpon(IanaInterfaceType): """ Gigabit\-capable passive optical networks (G\-PON) as per ITU\-T G.948. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:gpon"): super(Gpon, self).__init__(ns, pref, tag) class Vdsl2(IanaInterfaceType): """ Very high speed digital subscriber line Version 2 (as per ITU\-T Recommendation G.993.2). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:vdsl2"): super(Vdsl2, self).__init__(ns, pref, tag) class CapwapDot11Profile(IanaInterfaceType): """ WLAN Profile Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:capwapDot11Profile"): super(CapwapDot11Profile, self).__init__(ns, pref, tag) class CapwapDot11Bss(IanaInterfaceType): """ WLAN BSS Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:capwapDot11Bss"): super(CapwapDot11Bss, self).__init__(ns, pref, tag) class CapwapWtpVirtualRadio(IanaInterfaceType): """ WTP Virtual Radio Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:capwapWtpVirtualRadio"): super(CapwapWtpVirtualRadio, self).__init__(ns, pref, tag) class Bits(IanaInterfaceType): """ bitsport. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:bits"): super(Bits, self).__init__(ns, pref, tag) class DocsCableUpstreamRfPort(IanaInterfaceType): """ DOCSIS CATV Upstream RF Port. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:docsCableUpstreamRfPort"): super(DocsCableUpstreamRfPort, self).__init__(ns, pref, tag) class CableDownstreamRfPort(IanaInterfaceType): """ CATV downstream RF Port. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:cableDownstreamRfPort"): super(CableDownstreamRfPort, self).__init__(ns, pref, tag) class VmwareVirtualNic(IanaInterfaceType): """ VMware Virtual Network Interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:vmwareVirtualNic"): super(VmwareVirtualNic, self).__init__(ns, pref, tag) class Ieee802154(IanaInterfaceType): """ IEEE 802.15.4 WPAN interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ieee802154"): super(Ieee802154, self).__init__(ns, pref, tag) class OtnOdu(IanaInterfaceType): """ OTN Optical Data Unit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:otnOdu"): super(OtnOdu, self).__init__(ns, pref, tag) class OtnOtu(IanaInterfaceType): """ OTN Optical channel Transport Unit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:otnOtu"): super(OtnOtu, self).__init__(ns, pref, tag) class IfVfiType(IanaInterfaceType): """ VPLS Forwarding Instance Interface Type. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:ifVfiType"): super(IfVfiType, self).__init__(ns, pref, tag) class G9981(IanaInterfaceType): """ G.998.1 bonded interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:g9981"): super(G9981, self).__init__(ns, pref, tag) class G9982(IanaInterfaceType): """ G.998.2 bonded interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:g9982"): super(G9982, self).__init__(ns, pref, tag) class G9983(IanaInterfaceType): """ G.998.3 bonded interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:g9983"): super(G9983, self).__init__(ns, pref, tag) class AluEpon(IanaInterfaceType): """ Ethernet Passive Optical Networks (E\-PON). """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluEpon"): super(AluEpon, self).__init__(ns, pref, tag) class AluEponOnu(IanaInterfaceType): """ EPON Optical Network Unit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluEponOnu"): super(AluEponOnu, self).__init__(ns, pref, tag) class AluEponPhysicalUni(IanaInterfaceType): """ EPON physical User to Network interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluEponPhysicalUni"): super(AluEponPhysicalUni, self).__init__(ns, pref, tag) class AluEponLogicalLink(IanaInterfaceType): """ The emulation of a point\-to\-point link over the EPON layer. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluEponLogicalLink"): super(AluEponLogicalLink, self).__init__(ns, pref, tag) class AluGponOnu(IanaInterfaceType): """ GPON Optical Network Unit. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluGponOnu"): super(AluGponOnu, self).__init__(ns, pref, tag) class AluGponPhysicalUni(IanaInterfaceType): """ GPON physical User to Network interface. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:aluGponPhysicalUni"): super(AluGponPhysicalUni, self).__init__(ns, pref, tag) class VmwareNicTeam(IanaInterfaceType): """ VMware NIC Team. """ _prefix = 'ianaift' _revision = '2014-05-08' def __init__(self, ns="urn:ietf:params:xml:ns:yang:iana-if-type", pref="iana-if-type", tag="iana-if-type:vmwareNicTeam"): super(VmwareNicTeam, self).__init__(ns, pref, tag)

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90,700

4.614044

0.066425

0.091987

0.153311

0.127603

0.674849

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0.557211

0.555117

0

0.042732

0.215127

90,700

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0

146492b5825e6748c11ad8a01ce7cd816d909acc

5,307

py

Python

TimeSeriesTools/Similarities/similarities.py

Psicowired87/TimeSeriesTools

de42dbcc5371ee576df6c9521b1c79a47c147dd1

[ "MIT" ]

1

2015-05-01T14:14:02.000Z

TimeSeriesTools/Similarities/similarities.py

Psicowired87/TimeSeriesTools

de42dbcc5371ee576df6c9521b1c79a47c147dd1

[ "MIT" ]

null

TimeSeriesTools/Similarities/similarities.py

Psicowired87/TimeSeriesTools

de42dbcc5371ee576df6c9521b1c79a47c147dd1

[ "MIT" ]

1

2015-05-01T14:15:03.000Z

""" Distances or similarities between time series are functions that computes a distance measure or similarity measure pairwise and returns a matrix of distances between each timeserie. """ import numpy as np #import math def general_comparison(X, method, kwargs={}): """Function which acts as a switcher and wraps all the comparison functions available in this package. Parameters ---------- X: array_like, shape(N, M) a collection of M time-series. method: str, optional measure we want to use for make the comparison. kwargs: dict parameters for the functions selected by the method parameter. Returns ------- comparisons: array_like, shape (M, M) returns the measure of all the possible time series versus all the others. """ if type(method).__name__ == 'function': comparisons = method(X, **kwargs) elif method == 'lag_based': comparisons = general_lag_distance(X, **kwargs) elif method == 'static_based': comparisons = general_distance_M(X, **kwargs) return comparisons def general_lag_distance(X, method_f, tlags, simmetrical=False, kwargs={}): """Build a 3d matrix of distance using the method_f given. Parameters ---------- X: array_like, shape(Ntimes, Nelements) the signals of the system. maxt: integer or list or array_like max lag to be considered. method_f: function the function 1v1 to compute the distance or similarity desired. simmetrical: boolean the possibility to safe computational power only computing one directional pairs. kwargs: dict the parameters of the selected method. The parameters needed by method_f. Returns ------- M: array_like, shape (Nelements, Nelements, nlags) the matrix of possible distances for each choosen lag time. """ ## 0. Format inputs and needed variables # Format lags lags = np.array([tlags]) if type(tlags) in [int, list] else tlags lags = lags.reshape(-1) # Elements n = X.shape[1] tl = lags.shape[0] ## Build the tensor M = np.zeros((n, n, tl)) # Loop over lags for l in range(lags.shape[0]): tlag = lags[l] # Loop over the possible combinations of elements for i in range(n): # Loop over the necessary considering simmetrical or not if simmetrical: pairedelements = range(i, n) else: pairedelements = range(n) # Loop over the pair elements for j in pairedelements: M[i, j, l] = method_f(X[tlag:, i], X[:X.shape[0]-tlag, j], **kwargs) return M def general_distance_M(X, method_f, simmetrical, kwargs={}): """This function is an applicator of a method given by the function method_f. Parameters ---------- X: array_like, shape(Ntimes, Nelements) the signals of the system. maxt: integer or list or array_like max lag to be considered. method_f: function the function 1v1 to compute the distance or similarity desired. simmetrical: boolean the possibility to safe computational power only computing one directional pairs. kwargs: dict the parameters of the selected method. The parameters needed by method_f. """ # Initialization n = X.shape[1] M = np.zeros((n, n)) # Loop over the possible combinations of elements for i in range(n): # Loop over the necessary considering simmetrical or not if simmetrical: pairedelements = range(i, n) else: pairedelements = range(n) # Loop over the pair elements for j in pairedelements: M[i, j] = method_f(X[:, i], X[:, j], **kwargs) return M def comparison_1v1(x, y, method, kwargs={}): """Function which acts as a switcher and wraps all the comparison functions available in this package. Parameters ---------- x: array_like, shape(N,) time-serie with N times. y: array_like, shape(N,) time-serie with N times. method: str, optional measure we want to use for make the comparison. kwargs: dict parameters for the functions selected by the method parameter. Returns ------- comparisons: float returns the measure of comparison between the two time-series given using the measure specified in the inputs. """ return comparisons def comparison_f_1v1(x, y, method, kwargs={}): """Function which acts as a switcher and wraps all the comparison functions available in this package and returns a instantiable function. Parameters ---------- method: str, optional measure we want to use for make the comparison. kwargs: dict parameters for the functions selected by the method parameter. Returns ------- comparator: function the instantiable function which could be called to compare two time series. """ if type(method).__name__ == 'function': comparator = lambda x, y: method(x, y, **kwargs) elif method == '': pass return comparator

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0.223201

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0

0.004235

0.28811

5,307

184

80

28.842391

0.867655

0.599585

0

0.444444

0

0.021179

0

1

0.111111

false

0.022222

0

0.244444

0

null

0

null

0

1

0

146511309f8c17002dac29adf6b1235ccc4469be

1,381

py

Python

BDAI/datapredict/arandom.py

FYPYTHON/method

94c8768b284f498dd4876ff152c355d76655f6c0

[ "Apache-2.0" ]

null

BDAI/datapredict/arandom.py

FYPYTHON/method

94c8768b284f498dd4876ff152c355d76655f6c0

[ "Apache-2.0" ]

null

BDAI/datapredict/arandom.py

FYPYTHON/method

94c8768b284f498dd4876ff152c355d76655f6c0

[ "Apache-2.0" ]

null

# coding=utf-8 from random import randint start = 1 end = 100 def check_leve(num_ori): num = num_ori * 100 / 100 if 0 < num <= 19: level = 1 elif 19 < num <= 19 + 17: level = 2 elif 36 < num <= 36 + 15: level = 3 elif 51 < num <= 51 + 13: level = 4 elif 64 < num <= 64 + 11: level = 5 elif 75 < num <= 75 + 9: level = 6 elif 84 < num <= 84 + 7: level = 7 elif 91 < num <= 91 + 5: level = 8 elif 96 < num <= 96 + 3: level = 9 elif 99 < num <= 100: level = 10 else: level = 0 return level def get_fre(): data_fre = dict() num_data = 1000 for i in range(num_data): rd = randint(start, end) rkey = check_leve(rd) if rkey in data_fre.keys(): data_fre[rkey] += 1 else: data_fre[rkey] = 1 data_p = sorted(data_fre.items(), key=lambda d: d[1], reverse=True) print(data_p) for data in data_p: # print(type(data[1])) print(data[0], "%.2f" % (data[1] / num_data * 100)) def get_char(): cha_s = 0x4e00 cha_e = 0x9fa5 c_num = 100 for i in range(c_num): # cchar = randint(cha_s, cha_e) # print(chr(cchar)) i = i + 19968 + 100 * 2 print(i, chr(i)) if __name__ == "__main__": # get_fre() get_char()

21.920635

71

0.493121

209

1,381

3.100478

0.373206

0.054012

0.018519

0.033951

0

0.125874

0.378711

1,381

62

72

22.274194

0.629371

0.065894

0

0.039216

0

0.009346

0

0.009346

0

1

0.058824

false

0

0.019608

0

0.098039

0.058824

0

null

0

null

0

1

0

146608cbf54e2dc17b4bdc5c43fcee82318c9ee7

1,399

py

Python

sw_stresstest/util.py

ox-inet-resilience/sw_stresstest

6ffb6674b7550f32ac490a67fd5cb08352c92525

[ "Apache-2.0" ]

null

sw_stresstest/util.py

ox-inet-resilience/sw_stresstest

6ffb6674b7550f32ac490a67fd5cb08352c92525

[ "Apache-2.0" ]

null

sw_stresstest/util.py

ox-inet-resilience/sw_stresstest

6ffb6674b7550f32ac490a67fd5cb08352c92525

[ "Apache-2.0" ]

null

import subprocess import time import matplotlib.pyplot as plt def get_process_time(): return "%.2f mins" % (time.process_time() / 60) def savefig(sname, bar=False): barstr = "_bar" if bar else "" git_rev_hash = ( subprocess.check_output("git rev-parse HEAD".split()).decode("utf-8").strip() ) plotname = f"{sname}{barstr}_{git_rev_hash}.png" print(plotname) plt.savefig("plots/" + plotname) # plt.savefig('plots/' + plotname.replace('png', 'eps')) # end def setup_matplotlib(): # plt.style.use('fivethirtyeight') # plt.style.use('ggplot') from cycler import cycler _cmap = plt.get_cmap("tab20") _cycler = cycler( color=[_cmap(i / 10) for i in range(10)] + [_cmap(3 / 12), _cmap(5 / 12)] ) + cycler(marker=[4, 5, 6, 7, "d", "o", ".", 4, 5, 6, 7, "d"]) plt.rc("font", **{"size": 11}) # , 'sans-serif': ['Computer Modern Sans Serif']}) plt.rc("axes", prop_cycle=_cycler, titlesize="xx-large", grid=True, axisbelow=True) plt.rc("grid", linestyle=":") plt.rc("figure", titlesize="xx-large") plt.rc("savefig", dpi=200) return _cycler def draw_figlegend(fig, right=0.85, legend_title=None): # Remove duplicate label by using only 1 axes handles, labels = plt.gca().get_legend_handles_labels() fig.legend(handles, labels, loc=7, title=legend_title) fig.subplots_adjust(right=right)

29.765957

87

0.634739

198

1,399

4.348485

0.545455

0.029036

0.023229

0.053426

0.074332

0

0.029903

0.187277

1,399

46

88

30.413043

0.727353

0.148678

0

0.110642

0.028716

0

1

0.137931

false

0

0.137931

0.034483

0.344828

0.034483

0

null

0

null

0

1

0

14661876a82e21d72a76cbaff98ac6765f7f7da1

1,792

py

Python

src/omniverse/omniverse/pub_sub.py

XinghuiTao/ros2_turtlebot

206aa5c8830cc6598077ab4cf86ffed261183d1a

[ "MIT" ]

null

src/omniverse/omniverse/pub_sub.py

XinghuiTao/ros2_turtlebot

206aa5c8830cc6598077ab4cf86ffed261183d1a

[ "MIT" ]

null

src/omniverse/omniverse/pub_sub.py

XinghuiTao/ros2_turtlebot

206aa5c8830cc6598077ab4cf86ffed261183d1a

[ "MIT" ]

null

import rclpy from rclpy.node import Node from geometry_msgs.msg import Twist from sensor_msgs.msg import LaserScan from rclpy.qos import ReliabilityPolicy, QoSProfile from messager.msg import Date class Bootstrap(Node): def __init__(self): super().__init__('Bootstrap') self.publisher_ = self.create_publisher(Twist, 'cmd_vel', 10) self.subscriber = self.create_subscription(LaserScan, '/scan', self.move_turtlebot, QoSProfile(depth=10, reliability=ReliabilityPolicy.BEST_EFFORT)) # prevent unused variable warning self.subscriber # define the timer period for 0.5 seconds self.timer_period = 0.5 # define the variable to save the received info self.laser_forward = 0 # create a Twist message self.cmd = Twist() self.timer = self.create_timer(self.timer_period, self.motion) def move_turtlebot(self,msg): # Save the frontal laser scan info at 0° self.laser_forward = msg.ranges[359] def motion(self): # print the data self.get_logger().info('I receive: "%s"' % str(self.laser_forward)) # Logic of move if self.laser_forward > 5: self.cmd.linear.x = 0.5 self.cmd.angular.z = 0.5 elif self.laser_forward <5 and self.laser_forward>=0.5: self.cmd.linear.x = 0.2 self.cmd.angular.z = 0.0 else: self.cmd.linear.x = 0.0 self.cmd.angular.z = 0.0 # Publishing the cmd_vel values to topipc self.publisher_.publish(self.cmd) def main(args=None): rclpy.init(args=args) bootstrap = Bootstrap() rclpy.spin(bootstrap) bootstrap.destroy_node() rclpy.shutdown() if __name__ == '__main__': main()

33.811321

156

0.638393

240

1,792

4.6125

0.379167

0.050587

0.086721

0.03794

0.087624

0.059621

0

0.021986

0.263951

1,792

53

157

33.811321

0.816528

0.138393

0

0.052632

0

0.028646

0

1

0.105263

false

0

0.157895

0

0.289474

0

null

0

null

0

1

0

146653bc27b7e95442355cef810e6af40d36eb20

958

py

Python

agent/indy_catalyst_agent/messaging/basicmessage/handlers/basicmessage_handler.py

blhagadorn/indy-catalyst

c268dba024096d312f541fde40443a1757f21661

[ "Apache-2.0" ]

null

agent/indy_catalyst_agent/messaging/basicmessage/handlers/basicmessage_handler.py

blhagadorn/indy-catalyst

c268dba024096d312f541fde40443a1757f21661

[ "Apache-2.0" ]

null

agent/indy_catalyst_agent/messaging/basicmessage/handlers/basicmessage_handler.py

blhagadorn/indy-catalyst

c268dba024096d312f541fde40443a1757f21661

[ "Apache-2.0" ]

null

"""Basic message handler.""" from ...base_handler import BaseHandler, BaseResponder, RequestContext from ..messages.basicmessage import BasicMessage class BasicMessageHandler(BaseHandler): """Message handler class for basic messages.""" async def handle(self, context: RequestContext, responder: BaseResponder): """ Message handler logic for basic messages. Args: context: request context responder: responder callback """ self._logger.debug(f"BasicMessageHandler called with context {context}") assert isinstance(context.message, BasicMessage) self._logger.info("Received basic message: %s", context.message.content) content = context.message.content if content.startswith("Reply with: "): reply = content[12:] reply = BasicMessage(content=reply, _l10n=context.message._l10n) await responder.send_reply(reply)

34.214286

80

0.677453

94

958

6.840426

0.446809

0.087092

0.049767

0

0.008119

0.228601

958

27

81

35.481481

0.861976

0.066806

0

0.120166

0

0.083333

1

0

false

0

0.166667

0

0.25

0

null

0

null

0

1

0

14667b6cfd7a7154cebc9042e17bc855580d4270

3,410

py

Python

src/InversionSection.py

r-barnes/PIS-G

8ce458654e7d7cfa4d89d0ddc618b60abebc9581

[ "MIT" ]

3

2020-09-24T14:33:46.000Z

2021-01-12T03:49:14.000Z

src/InversionSection.py

r-barnes/PIS-G

8ce458654e7d7cfa4d89d0ddc618b60abebc9581

[ "MIT" ]

8

2020-12-30T07:41:21.000Z

2021-01-13T04:30:04.000Z

src/InversionSection.py

r-barnes/PIS-G

8ce458654e7d7cfa4d89d0ddc618b60abebc9581

[ "MIT" ]

1

2021-01-10T20:19:15.000Z

import matplotlib matplotlib.use("Qt5Agg") from PyQt5.QtWidgets import * from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar from matplotlib.figure import Figure import matplotlib.pyplot as plt from matplotlib.pyplot import * class MyMplPara(FigureCanvas): def __init__(self, parent=None): plt.rcParams['font.family'] = ['Times New Roman'] plt.rcParams['axes.unicode_minus'] = False plt.rcParams['savefig.dpi'] = 300 self.fig = Figure() self.axes = self.fig.add_subplot(111, aspect='equal') FigureCanvas.__init__(self, self.fig) self.setParent(parent) FigureCanvas.setSizePolicy(self, QSizePolicy.Expanding, QSizePolicy.Expanding) FigureCanvas.updateGeometry(self) def setTitle(self, title): self.axes.set_title(title) def xy_section(self, x1, x2, y1, y2, z, dx, dy, dz, deep, colorbarTitle): xx = np.linspace(x1, x2, int((x2-x1)/dx+1)) yy = np.linspace(y1, y2, int((y2-y1)/dy+1)) X,Y = np.meshgrid(xx,yy) CS = self.axes.contourf(X,Y,z,10, cmap=cm.jet) cbar = self.fig.colorbar(CS, shrink=1, aspect=10,) if colorbarTitle == "": cbar.ax.set_ylabel("density(g/cm^3)") else: cbar.ax.set_ylabel(colorbarTitle) self.axes.tick_params(labelsize=9) self.axes.set_xlabel('x/m') self.axes.set_ylabel('y/m') def xz_section(self, x1,x2, z1, z2, value, dx, dy, dz, deep, colorbarTitle): xx = np.linspace(x1, x2, int((x2-x1)/dx+1)) zz = np.linspace(z1, z2, int((z2-z1)/dz+1)) X,Z = np.meshgrid(xx,zz) CS = self.axes.contourf(X,Z,value,10, cmap=cm.jet) cbar = self.fig.colorbar(CS, shrink=1, aspect=10,) if colorbarTitle == "": cbar.ax.set_ylabel("density(g/cm^3)") else: cbar.ax.set_ylabel(colorbarTitle) self.axes.tick_params(labelsize=9) self.axes.set_xlabel('x/m') self.axes.set_ylabel('z/m') self.axes.invert_yaxis() def yz_section(self, y1,y2, z1, z2, value, dx, dy, dz, deep, colorbarTitle): yy = np.linspace(y1, y2, int((y2-y1)/dy+1)) zz = np.linspace(z1, z2, int((z2-z1)/dz+1)) Y,Z = np.meshgrid(yy,zz) CS = self.axes.contourf(Y,Z,value,10, cmap=cm.jet) cbar = self.fig.colorbar(CS, shrink=1, aspect=10,) if colorbarTitle == "": cbar.ax.set_ylabel("density(g/cm^3)") else: cbar.ax.set_ylabel(colorbarTitle) self.axes.tick_params(labelsize=9) self.axes.set_xlabel('y/m') self.axes.set_ylabel('z/m') self.axes.invert_yaxis() def saveFig(self, fileName): self.fig.savefig(fileName) class InversionSection(QWidget): def __init__(self, parent=None): super(InversionSection, self).__init__(parent) self.initUi() def initUi(self): self.layout = QVBoxLayout(self) self.mpl = MyMplPara(self) self.mpl_ntb = NavigationToolbar(self.mpl, self) self.layout.addWidget(self.mpl) self.layout.addWidget(self.mpl_ntb)

37.888889

89

0.594135

448

3,410

4.426339

0.25

0.064549

0.03883

0.045386

0.549672

0.472012

0.430661

0.409985

0

0.029731

0.270088

3,410

89

90

38.314607

0.766975

0

0.432432

0

0.038844

0

1

0.108108

false

0

0.094595

0

0.22973

0

null

0

null

0

1

0

146dd66480416c85e1f3fbd450fd3d6014348667

829

py

Python

editor_csv.py

zhixing121/python-web-spider

b696bfee2c14bf30f925e202f2c61da45d4a7c23

[ "CNRI-Python" ]

1

2017-12-26T16:01:13.000Z

editor_csv.py

zhixing121/python-web-spider

b696bfee2c14bf30f925e202f2c61da45d4a7c23

[ "CNRI-Python" ]

null

editor_csv.py

zhixing121/python-web-spider

b696bfee2c14bf30f925e202f2c61da45d4a7c23

[ "CNRI-Python" ]

null

import csv import os from urllib.request import urlopen from bs4 import BeautifulSoup html = urlopen("http://en.wikipedia.org/wiki/Comparison_of_text_editors") bsObj = BeautifulSoup(html, "html.parser") main_table = bsObj.findAll("table", {"class": "wikitable"})[0] #findAll生成列表 rows = main_table.findAll("tr") try: csvFile = open("../files/csvFile.csv", "wt", newline='', encoding='utf-8') except FileNotFoundError: print(FileNotFoundError) os.mkdir("../files") csvFile = open("../files/csvFile.csv", "wt", newline='', encoding='utf-8') writer = csv.writer(csvFile) try: for row in rows: csvRow = [] for cell in row.findAll(["td", "th"]): csvRow.append(cell.get_text()) writer.writerow(csvRow) finally: csvFile.close() # print(rows)

27.633333

79

0.641737

101

829

5.207921

0.554455

0.068441

0.060837

0.087452

0.178707

0

0.005997

0.195416

829

30

80

27.633333

0.782609

0.027744

0

0.173913

0

0.197165

0

1

0

false

0

0.173913

0

0.173913

0.043478

0

null

0

null

0

1

0

146e8fb91d80fa949c6e8011c9464b27f7799c13

2,380

py

Python

kstore/migrations/0002_product.py

KeoH/django-keoh-kstore

825d7984a06823a4e592265c4e791b455ddbb481

[ "BSD-2-Clause" ]

null

kstore/migrations/0002_product.py

KeoH/django-keoh-kstore

825d7984a06823a4e592265c4e791b455ddbb481

[ "BSD-2-Clause" ]

null

kstore/migrations/0002_product.py

KeoH/django-keoh-kstore

825d7984a06823a4e592265c4e791b455ddbb481

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('kstore', '0001_initial'), ] operations = [ migrations.CreateModel( name='Product', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('name', models.CharField(max_length=255, verbose_name='Product Name')), ('description', models.TextField(null=True, verbose_name='Product description', blank=True)), ('description_short', models.TextField(null=True, verbose_name='Short description', blank=True)), ('ean13', models.CharField(max_length=13, null=True, verbose_name='Codigo de barras', blank=True)), ('width', models.DecimalField(null=True, verbose_name='Width in cm', max_digits=20, decimal_places=2, blank=True)), ('height', models.DecimalField(null=True, verbose_name='Height in cm', max_digits=20, decimal_places=2, blank=True)), ('depth', models.DecimalField(null=True, verbose_name='Depth in cm', max_digits=20, decimal_places=2, blank=True)), ('weight', models.DecimalField(null=True, verbose_name='Weight in kg', max_digits=20, decimal_places=2, blank=True)), ('quantity', models.PositiveSmallIntegerField(default=0, verbose_name='Quantity')), ('price', models.DecimalField(verbose_name='Price in euros', max_digits=20, decimal_places=2)), ('cost_price', models.DecimalField(verbose_name='Cost price in euros', max_digits=20, decimal_places=2)), ('taxes', models.DecimalField(verbose_name='Taxes', max_digits=20, decimal_places=2)), ('out_of_stock', models.BooleanField(default=True, verbose_name='Out of Stock')), ('manufacturer', models.ForeignKey(verbose_name=b'Manufacturer', blank=True, to='kstore.Manufacturer', null=True)), ('supplier', models.ForeignKey(verbose_name=b'Supplier', blank=True, to='kstore.Supplier', null=True)), ], options={ 'db_table': 'ks_product', 'verbose_name': 'product', 'verbose_name_plural': 'products', }, ), ]

58.04878

133

0.628571

264

2,380

5.481061

0.310606

0.136835

0.08293

0.091914

0.405667

0.319972

0.153421

0.129924

0.078784

0

0.018488

0.227311

2,380

40

134

59.5

0.768352

0.008824

0

0.184132

0

1

0

false

0

0.058824

0

0.147059

0

null

0

null

0

1

0

14717cb73f4fcafb66b24b0e05933e41c92a4ce2

6,194

py

Python

lib/tensor_helper.py

jwspaeth/FAA-Project

afa9d3bec10deead48c4b17dff69df2e02691e41

[ "MIT" ]

null

lib/tensor_helper.py

jwspaeth/FAA-Project

afa9d3bec10deead48c4b17dff69df2e02691e41

[ "MIT" ]

2

2019-10-20T00:42:40.000Z

2019-10-30T18:06:11.000Z

lib/tensor_helper.py

jwspaeth/FAA-Project

afa9d3bec10deead48c4b17dff69df2e02691e41

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras import backend from tensorflow.keras.layers import Lambda from tensorflow.keras import layers def split(tensor, axis, keep_dims=False): shape = backend.int_shape(tensor) tensor_list = [] for i in range(shape[axis]): sliced_tensor = Lambda(lambda x: x[:,i,:,:])(tensor) if keep_dims: sliced_tensor = Lambda(lambda x: backend.expand_dims(x, axis=axis))(sliced_tensor) tensor_list.append(sliced_tensor) return tensor_list def merge(tensor_list, axis, expand_dims=False, name=""): if expand_dims: for i in range(len(tensor_list)): tensor_list[i] = Lambda(lambda x: backend.expand_dims(x, axis=axis))(tensor_list[i]) merged_tensor = Lambda(lambda x: backend.concatenate(x, axis))(tensor_list) if name != "": merged_tensor = Lambda(lambda x: x, name=name)(merged_tensor) return merged_tensor def map(func, tensor_list): func_output_list = [] for tensor in tensor_list: func_output_list.append(func(tensor)) return func_output_list ########################################## class MyDenseStackLayer(tf.keras.layers.Layer): def __init__(self, input_size, stack_config, name=""): if name != "": super(MyDenseStackLayer, self).__init__(name=name) else: super(MyDenseStackLayer, self).__init__() ### Collect all layers of encoder self.stack_layer_list = [] for i in range(len(stack_config.n_layers_list)): ### Define dense layer dense_layer = layers.Dense(units=stack_config.n_layers_list[i], activation=stack_config.activation_type_list[i]) dense_layer.trainable = stack_config.trainable_list[i] self.stack_layer_list.append(dense_layer) def call(self, inputs): pipeline = inputs for i in range(len(self.stack_layer_list)): pipeline = self.stack_layer_list[i](pipeline) outputs = pipeline return outputs class MyEncoderLayer(tf.keras.layers.Layer): def __init__(self, encoder_config, name=""): if name != "": super(MyEncoderLayer, self).__init__(name=name) else: super(MyEncoderLayer, self).__init__() ### Collect all layers of encoder self.encoder_layer_list = [] for i in range(len(encoder_config.n_filters_list)): ### Define convolution layer conv_layer = layers.Conv2D(filters=encoder_config.n_filters_list[i], kernel_size=encoder_config.kernel_size_list[i], strides=encoder_config.n_strides_list[i], padding=encoder_config.padding_list[i], activation=encoder_config.activation_type_list[i]) conv_layer.trainable = encoder_config.trainable_list[i] self.encoder_layer_list.append(conv_layer) def call(self, inputs): pipeline = inputs for i in range(len(self.encoder_layer_list)): pipeline = self.encoder_layer_list[i](pipeline) outputs = pipeline return outputs class MyDecoderLayer(tf.keras.layers.Layer): def __init__(self, decoder_config, name=""): if name != "": super(MyDecoderLayer, self).__init__(name=name) else: super(MyDecoderLayer, self).__init__() self.decoder_layer_list = [] for i in range(len(decoder_config.n_filters_list)): ### Define convolution layer transconv_layer = layers.Conv2DTranspose(filters=decoder_config.n_filters_list[i], kernel_size=decoder_config.kernel_size_list[i], strides=decoder_config.n_strides_list[i], padding=decoder_config.padding_list[i], output_padding=decoder_config.output_padding[i], activation=decoder_config.activation_type_list[i]) transconv_layer.trainable = decoder_config.trainable_list[i] self.decoder_layer_list.append(transconv_layer) def call(self, inputs): pipeline = inputs for i in range(len(self.decoder_layer_list)): pipeline = self.decoder_layer_list[i](pipeline) outputs = pipeline return outputs class MyNoiserLayer(tf.keras.layers.Layer): def __init__(self, noiser_config, name=""): if name != "": super(MyNoiserLayer, self).__init__(name=name) else: super(MyNoiserLayer, self).__init__() self.gaussian_noise_variable = 0 self.binarizer_layer = 0 self.multiplication_layer = Lambda(lambda x: x[0]+x[1]) def call(self, inputs): return outputs class MyInputLayer(tf.keras.layers.Layer): def __init__(self, name=""): if name != "": super(MyInputLayer, self).__init__(name=name) else: super(MyInputLayer, self).__init__() self.layer = Lambda(lambda x: x) def build(self, input_shape): super(MyInputLayer, self).build(input_shape) def call(self, inputs): return self.layer(inputs) class MySplitLayer(tf.keras.layers.Layer): def __init__(self, axis_size): super(MySplitLayer, self).__init__() self.layer_list = [] for i in range(axis_size): self.layer_list.append(Lambda(lambda x: x[:,i,:,:])) def build(self, input_shape): super(MySplitLayer, self).build(input_shape) def call(self, inputs): tensor_list = [] for layer in self.layer_list: tensor_list.append(layer(inputs)) return tensor_list class MyMergeLayer(tf.keras.layers.Layer): def __init__(self, merge_axis, axis_size, expand_dims=False, name=""): if name != "": super(MyMergeLayer, self).__init__(name=name) else: super(MyMergeLayer, self).__init__() self.expand_dims = expand_dims self.axis_size = axis_size if expand_dims: self.expand_layer = Lambda(lambda x: backend.expand_dims(x, axis=merge_axis)) self.merge_layer = Lambda(lambda x: backend.concatenate(x, merge_axis)) def build(self, input_shape): super(MyMergeLayer, self).build(input_shape) def call(self, inputs): if self.expand_dims: for i in range(self.axis_size): inputs[i] = self.expand_layer(inputs[i]) merged_inputs = self.merge_layer(inputs) return merged_inputs ###############################

30.81592

94

0.669357

790

6,194

4.944304

0.111392

0.025602

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null

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null

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0

1471ffde947b195df3146f6179d3445bcf40ebc8

2,126

py

Python

tests/unit/configuration_subsystem/test_internals.py

LaudateCorpus1/ansible-navigator

28cdea13dba3e9039382eb993989db4b3e61b237

[ "Apache-2.0" ]

null

tests/unit/configuration_subsystem/test_internals.py

LaudateCorpus1/ansible-navigator

28cdea13dba3e9039382eb993989db4b3e61b237

[ "Apache-2.0" ]

null

tests/unit/configuration_subsystem/test_internals.py

LaudateCorpus1/ansible-navigator

28cdea13dba3e9039382eb993989db4b3e61b237

[ "Apache-2.0" ]

null

"""Test the internals of a NavigatorConfiguration.""" import os from copy import deepcopy from ansible_navigator.configuration_subsystem import Constants from ansible_navigator.configuration_subsystem import NavigatorConfiguration from ansible_navigator.initialization import parse_and_update from .defaults import TEST_FIXTURE_DIR def test_settings_file_path_file_none(): """Confirm a settings file path is not stored in the internals when not present.""" args = deepcopy(NavigatorConfiguration) parse_and_update(params=[], args=args, initial=True) assert args.internals.settings_file_path is None assert args.internals.settings_source == Constants.NONE def test_settings_file_path_file_system(monkeypatch): """Confirm a settings file path is stored in the internals when searched. :param monkeypatch: Fixture providing these helper methods for safely patching and mocking functionality in tests """ settings_file = "ansible-navigator.yml" settings_file_path = os.path.join(TEST_FIXTURE_DIR, settings_file) args = deepcopy(NavigatorConfiguration) def getcwd(): return TEST_FIXTURE_DIR monkeypatch.setattr(os, "getcwd", getcwd) parse_and_update(params=[], args=args, initial=True) assert args.internals.settings_file_path == settings_file_path assert args.internals.settings_source == Constants.SEARCH_PATH def test_settings_file_path_environment_variable(monkeypatch): """Confirm a settings file path is stored in the internals when set via environment variable. :param monkeypatch: Fixture providing these helper methods for safely patching and mocking functionality in tests """ settings_file = "ansible-navigator.yml" settings_file_path = os.path.join(TEST_FIXTURE_DIR, settings_file) monkeypatch.setenv("ANSIBLE_NAVIGATOR_CONFIG", settings_file_path) args = deepcopy(NavigatorConfiguration) parse_and_update(params=[], args=args, initial=True) assert args.internals.settings_file_path == settings_file_path assert args.internals.settings_source == Constants.ENVIRONMENT_VARIABLE

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null

0

null

0

1

0

1476362831f27710fac9b1814044976cc0886949

14,703

py

Python

cogs/juan/fanclub.py

nwunderly/RevBots

820a5a28c093f9fc4a73651117e06900e16976a2

[ "MIT" ]

5

2020-05-08T10:09:10.000Z

2020-07-22T23:55:00.000Z

cogs/juan/fanclub.py

nwunderly/RevBots

820a5a28c093f9fc4a73651117e06900e16976a2

[ "MIT" ]

2

2020-02-27T00:30:49.000Z

2020-03-02T21:35:31.000Z

cogs/juan/fanclub.py

nwunderly/RevBots

820a5a28c093f9fc4a73651117e06900e16976a2

[ "MIT" ]

2

2020-02-27T13:03:27.000Z

2020-03-01T19:12:42.000Z

import discord from discord.ext import commands from discord.ext import tasks import datetime import asyncio import decimal import yaml import re import copy import collections from utils import juan_checks as checks from utils import db from utils import converters VISITOR_ROLE = 582405430274293770 DEVELOPER_ROLE = 582399407698477057 MANAGE_GUILD = 582741228274319380 DEFAULT_BOT_COLOR = 590977254008553494 BOTS_ROLE = 576258076957605889 DEV_CHANNELS_CATEGORY = 577706266768703488 MOD_BOTS_ROLE = 590977954474098700 BOT_LORDS_ROLE = 664328292522000424 pattern = re.compile(r"^= ([\w| ]+) =$") def sort_roles(roles): role_list = copy.copy(roles) role_list.reverse() _sorted = collections.defaultdict(list) category = "top" for role in role_list: match = pattern.fullmatch(role.name) if match: category = match.group(1) else: _sorted[category].append(role) return _sorted def get_category_list(roles): role_list = copy.copy(roles) role_list.reverse() categories = list() for role in roles: match = pattern.fullmatch(role.name) if match: categories.append(role) return categories class DevData: def __init__(self, cog): self.cog = cog self.bot = cog.bot self.table = cog.table def get(self, user_id, key=None): try: if key: return self.table.get([user_id, 'devData'])[key] else: return self.table.get([user_id, 'devData']) except KeyError: return None def put(self, new_data, user_id): try: data = self.table.get([user_id, 'devData']) except KeyError: data = {} data.update(new_data) self.table.put(data, [user_id, 'devData']) def get_all(self): data = self.table.read('devData') for item in data: item.pop('dataType') item['user'] = item.pop('snowflake') return data def get_bot(self, bot_id): data = self.get_all() for user_data in data: for bot_data in user_data['bots']: if bot_data['id'] == bot_id: bot_data['owner'] = user_data['user'] return bot_data return None def whose_bot(self, bot_id): data = self.get_all() for user_data in data: for bot_data in user_data['bots']: if bot_data['id'] == bot_id: return user_data['user'] return None def whose_channel(self, channel_id): data = self.get_all() for user_data in data: if 'devChannel' not in user_data.keys(): continue if user_data['devChannel'] == channel_id: return user_data['user'] return None def whose_role(self, role_id): data = self.get_all() for user_data in data: if 'botRole' not in user_data.keys(): continue if user_data['botRole'] == role_id: return user_data['user'] return None class FanClub(commands.Cog): def __init__(self, bot): self.bot = bot self.table = self.bot.table self.dev_data = DevData(self) @commands.Cog.listener() async def on_ready(self): self.cleanup_roles.start() @tasks.loop(minutes=30) async def cleanup_roles(self): guild = self.bot.get_guild(self.bot.properties.guild) category_roles = get_category_list(guild.roles) bot_roles = [guild.get_role(role) for role in [BOTS_ROLE, BOT_LORDS_ROLE, MOD_BOTS_ROLE]] dev_bot_roles = sort_roles(guild.roles).get('Special Bot Roles') for member in guild.members: for role in category_roles: if role in member.roles: await member.remove_roles(*category_roles, reason="Role cleanup") break if not member.bot: for role in bot_roles: if role in member.roles: await member.remove_roles(*bot_roles, reason="Role cleanup") break # for role in dev_bot_roles: # if role in member.roles: # await member.remove_roles(*dev_bot_roles, reason="Role cleanup") # break def get_bots(self, user): if isinstance(user, int) or isinstance(user, decimal.Decimal): return self.dev_data.get(user, 'bots') return self.dev_data.get(user.id, 'bots') def get_dev_channel(self, user): if isinstance(user, int) or isinstance(user, decimal.Decimal): return self.dev_data.get(user, 'devChannel') return self.dev_data.get(user.id, 'devChannel') def get_bot_role(self, user): if isinstance(user, int) or isinstance(user, decimal.Decimal): return self.dev_data.get(user, 'botRole') return self.dev_data.get(user.id, 'botRole') def update_dev_data(self, new_data, user_id, key): data = {key: new_data} self.dev_data.put(data, user_id) def register_bot(self, user, bot_data): user_id = user if isinstance(user, int) or isinstance(user, decimal.Decimal) else user.id bot_data['timestamp'] = str(datetime.datetime.now()) bots = self.get_bots(user_id) if bots: for bot in bots: if bot['id'] == bot_data['id']: bots.remove(bot) else: bots = [] bots.append(bot_data) self.update_dev_data(bots, user_id, 'bots') @staticmethod async def added_by(member): async for entry in member.guild.audit_logs(limit=10, action=discord.AuditLogAction.bot_add): if entry.target == member: return entry.user return None async def handle_unregistered_bot(self, member): added_by = await self.added_by(member) added_by_id = added_by.id if added_by else None await member.kick(reason=f"Unregistered bot, added by {added_by} ({added_by_id})") logs = self.bot.get_channel(self.bot.properties.channels['logs']) await logs.send(f"{datetime.datetime.now()}: {member} has been kicked: unregistered bot, added by {added_by} ({added_by_id}).") general = self.bot.get_channel(self.bot.properties.channels['general']) await general.send(f"{member} has been kicked." + (f" {added_by.mention}, p" if added_by else " P") + "lease register your bot with me before adding it to this server.") async def handle_registered_bot(self, member, bot_data): added_by = await self.added_by(member) roles = [] timestamp = bot_data['timestamp'] if 'timestamp' in bot_data.keys() else "No timestamp" owner_id = bot_data['owner'] if 'owner' in bot_data.keys() else None bot_role_id = self.get_bot_role(owner_id) try: owner = await self.bot.fetch_user(owner_id) except discord.NotFound: owner = None added_by_id = added_by.id if added_by else None self.bot.dispatch('bot_add', member, added_by, owner) if bot_role_id: roles.append(member.guild.get_role(bot_role_id)) else: roles.append(member.guild.get_role(DEFAULT_BOT_COLOR)) roles.append(member.guild.get_role(BOTS_ROLE)) if roles: await member.add_roles(*roles, reason=f"Bot added by {added_by} ({added_by_id}), registered to {owner} ({owner_id}) [{timestamp}]") logs = self.bot.get_channel(self.bot.properties.channels['logs']) await logs.send(f"{datetime.datetime.now()}: {member} added by {added_by} ({added_by_id}), registered to {owner} ({owner_id}) [{timestamp}]") general = self.bot.get_channel(self.bot.properties.channels['general']) await general.send(f"{added_by.mention if added_by else None} has added bot {member.mention} to the server!") if not owner or owner not in member.guild.members: return owner = member.guild.get_member(owner.id) bots = self.get_bots(owner) if len(bots) == 1: role = member.guild.get_role(DEVELOPER_ROLE) if role not in member.roles: await owner.add_roles(role, reason="First bot! 🎉") await general.send(f"Congrats {owner.mention} on adding your first bot! 🎉") @commands.Cog.listener() async def on_member_join(self, member): if member.guild.id != self.bot.properties.guild: return if not member.bot: general = self.bot.get_channel(self.bot.properties.channels['general']) visitor_role = member.guild.get_role(VISITOR_ROLE) await general.send(f"Welcome {member.mention}!") await member.add_roles(visitor_role, reason="Autorole") return bot_data = self.dev_data.get_bot(member.id) await asyncio.sleep(2) if bot_data: await self.handle_registered_bot(member, bot_data) else: await self.handle_unregistered_bot(member) @commands.command() async def bots(self, ctx, who: discord.Member = None): who = who if who else ctx.author bots = self.get_bots(who.id) for bot_info in bots: for key, value in bot_info.items(): if isinstance(value, decimal.Decimal): bot_info[key] = str(self.bot.get_user(int(value))) formatted = yaml.dump(bots) await ctx.send(f"```{formatted}```") @commands.command() async def bot(self, ctx, who: discord.Member): bot_info = self.dev_data.get_bot(who) for key, value in bot_info.items(): if isinstance(value, decimal.Decimal): bot_info[key] = str(self.bot.get_user(int(value))) formatted = yaml.dump(bot_info) await ctx.send(f"```{formatted}```") @commands.command() async def whosebot(self, ctx, bot: discord.Member): owner = self.dev_data.whose_bot(bot.id) await ctx.send(f"This bot is registered to {owner}.") @commands.command() async def whosechannel(self, ctx, channel: discord.TextChannel): owner = self.dev_data.whose_channel(channel.id) await ctx.send(f"This channel is registered to {owner}.") @commands.command() async def whoserole(self, ctx, role: discord.Role): owner = self.dev_data.whose_role(role.id) await ctx.send(f"This role is registered to {owner}.") @commands.command() @checks.is_admin() async def forceregister(self, ctx, owner_id: int, bot_id: int, prefix): try: data = { 'id': bot_id, 'prefix': prefix } owner = await self.bot.fetch_user(owner_id) self.register_bot(owner, data) await ctx.send(f"Registered {bot_id} to {owner_id}.") except Exception as e: await ctx.send(str(e)) @commands.command() async def addbot(self, ctx, bot_id: int, prefix): url = discord.utils.oauth_url(str(bot_id)) data = { 'id': bot_id, 'prefix': prefix } self.register_bot(ctx.author, data) manage_guild = ctx.guild.get_role(MANAGE_GUILD) await ctx.author.add_roles(manage_guild, reason=f"Perms to add bot, client id {bot_id}") def check(bot, added_by, owner): return ctx.author.id in [added_by.id if added_by else None, owner.id if owner else None] await ctx.send("<" + url + ">") try: await self.bot.wait_for('bot_add', check=check, timeout=600) except asyncio.TimeoutError: pass await ctx.author.remove_roles(manage_guild, reason="Added bot or request timed out") @commands.command() @checks.is_developer() async def register(self, ctx, bot: discord.Member, prefix): owner_id = self.dev_data.whose_bot(bot) if owner_id: try: owner = await self.bot.fetch_user(owner_id) except discord.NotFound: owner = None await ctx.send(f"{bot} is already owned by {owner if owner else owner_id}!") data = { 'id': bot.id, 'prefix': prefix } self.register_bot(ctx.author, data) role = self.get_bot_role(ctx.author) if role: role = ctx.guild.get_role(role) if role: try: timestamp = self.dev_data.get_bot(bot.id)['timestamp'] except TypeError: timestamp = None await bot.add_roles(role, reason=f"Registered to {ctx.author} ({ctx.author.id}) [{timestamp}]") await ctx.send(f"Registered {bot} to {ctx.author}.") @commands.command() @checks.is_admin() async def unregister(self, ctx, bot_id: int): n = 0 while (bot_data := self.dev_data.get_bot(bot_id)) is not None: user_id = bot_data.pop('owner') bots = self.dev_data.get(user_id, 'bots') for bot in bots: if bot['id'] == bot_id: n += 1 bots.remove(bot) await ctx.send(f"Removed from bots owned by user {user_id}.") self.update_dev_data(bots, user_id, 'bots') await ctx.send(f"Done. Bot was registered {n} times.") @commands.command() @checks.is_developer() async def claimchannel(self, ctx, channel: discord.TextChannel): if channel.category.id != DEV_CHANNELS_CATEGORY: await ctx.send("Channel must be in \"Dev Channels\" category.") return owner = self.dev_data.whose_channel(channel) if owner: await ctx.send(f"That channel is owned by {owner}.") return self.update_dev_data(channel.id, ctx.author.id, 'devChannel') await ctx.send("Done!") @commands.command() @checks.is_developer() async def claimrole(self, ctx, role: discord.Role): owner = self.dev_data.whose_role(role) if owner: await ctx.send(f"That role is owned by {owner}.") return sorted_roles = sort_roles(ctx.guild.roles) if role not in sorted_roles['Special Bot Roles']: await ctx.send("Role must be in \"Special Bot Roles\" category.") self.update_dev_data(role.id, ctx.author.id, 'botRole') await ctx.send("Done!") def setup(bot): bot.add_cog(FanClub(bot))

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36.036765

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0.182353

0

null

0

null

0

1

0

147ab841bf342fcda700f1104a6e09f84f9d4bf0

2,383

py

Python

lab6/program/lidar_model.py

windsuzu/Robot-Navigation

2b66df58e0a0799c25244f89a4e5a16d856b2320

[ "MIT" ]

6

2021-11-09T12:42:13.000Z

2022-02-25T03:43:00.000Z

lab6/program/lidar_model.py

windsuzu/Robot-Navigation

2b66df58e0a0799c25244f89a4e5a16d856b2320

[ "MIT" ]

null

lab6/program/lidar_model.py

windsuzu/Robot-Navigation

2b66df58e0a0799c25244f89a4e5a16d856b2320

[ "MIT" ]

1

2021-10-01T15:30:30.000Z

import numpy as np import cv2 import sys from utils import * class LidarModel: def __init__(self, img_map, sensor_size = 21, start_angle = -120.0, end_angle = 120.0, max_dist = 200.0, ): self.sensor_size = sensor_size self.start_angle = start_angle self.end_angle = end_angle self.max_dist = max_dist self.img_map = img_map def measure(self, pos): sense_data = [] inter = (self.end_angle-self.start_angle) / (self.sensor_size-1) for i in range(self.sensor_size): theta = pos[2] + self.start_angle + i*inter sense_data.append(self._ray_cast(np.array((pos[0], pos[1])), theta)) return sense_data def measure_2d(self, pos): sdata = self.measure(pos) plist = EndPoint(pos, [self.sensor_size, self.start_angle, self.end_angle], sdata) return sdata, plist def _ray_cast(self, pos, theta): end = np.array((pos[0] + self.max_dist*np.cos(np.deg2rad(theta)), pos[1] + self.max_dist*np.sin(np.deg2rad(theta)))) x0, y0 = int(pos[0]), int(pos[1]) x1, y1 = int(end[0]), int(end[1]) plist = Bresenham(x0, x1, y0, y1) i = 0 dist = self.max_dist for p in plist: if p[1] >= self.img_map.shape[0] or p[0] >= self.img_map.shape[1] or p[1]<0 or p[0]<0: continue if self.img_map[p[1], p[0]] < 0.5: tmp = np.power(float(p[0]) - pos[0], 2) + np.power(float(p[1]) - pos[1], 2) tmp = np.sqrt(tmp) if tmp < dist: dist = tmp return dist if __name__ == "__main__": img = cv2.flip(cv2.imread("Maps/map.png"),0) img[img>128] = 255 img[img<=128] = 0 m = np.asarray(img) m = cv2.cvtColor(m, cv2.COLOR_RGB2GRAY) m = m.astype(float) / 255. img = img.astype(float)/255. lmodel = LidarModel(m) pos = (100,200,0) sdata, plist = lmodel.measure_2d(pos) img_ = img.copy() for pts in plist: cv2.line( img_, (int(1*pos[0]), int(1*pos[1])), (int(1*pts[0]), int(1*pts[1])), (0.0,1.0,0.0), 1) cv2.circle(img_,(pos[0],pos[1]),5,(0.5,0.5,0.5),3) img_ = cv2.flip(img_,0) cv2.imshow("Lidar Test", img_) k = cv2.waitKey(0)

33.097222

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0

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false

0

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0

0.181818

0

null

0

null

0

1

0

147b00995ae20769b7f485083e84166a340a1e74

1,399

py

Python

main/tools/verification_code.py

anngle/t923

078d2c566c77afa2ca1be7663d3c23c9f0ecddac

[ "BSD-3-Clause" ]

1

2021-11-28T05:46:45.000Z

main/tools/verification_code.py

anngle/t923

078d2c566c77afa2ca1be7663d3c23c9f0ecddac

[ "BSD-3-Clause" ]

null

main/tools/verification_code.py

anngle/t923

078d2c566c77afa2ca1be7663d3c23c9f0ecddac

[ "BSD-3-Clause" ]

null

import random,string from datetime import datetime from ..views.public import bp as public_bp def rndChar(): """随机字母:""" str = '' for i in range(4): str += chr(random.randint(65, 90)) return str def rndColor(): """随机颜色1""" return (random.randint(64, 255), random.randint(64, 255), random.randint(64, 255)) def rndColor2(): """随机颜色2""" return (random.randint(32, 127), random.randint(32, 127), random.randint(32, 127)) @public_bp.route('/generate_verification_code') def generate_verification_code(): """验证码""" output = BytesIO() width = 70 height = 30 image = Image.new('RGB',(width,height),(255,255,255)) #字体对象 font = ImageFont.truetype(current_app.config['VERIFICATION_CODE_FONT'], 18) draw = ImageDraw.Draw(image) for x in range(width): for y in range(height): draw.point((x, y), fill=rndColor()) verify_str = rndChar() draw.text((10, 5),verify_str, font=font, fill=rndColor2()) #模糊 # image = image.filter(ImageFilter.BLUR) # li = [] # for i in range(10): # temp = random.randrange(65,90) # c = chr(temp) # li.append(c) image.save(output,"JPEG") img_data = output.getvalue() session['verify'] = verify_str response = make_response(img_data) response.headers['Content-Type'] = 'image/jpeg' return response

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0

null

0

null

0

1

0

147bc4f8e6ae805cfc73d5804d3fd691847d2e69

973

py

Python

docs/conf.py

purplepinapples/aniffinity

36b6eec3c7b135aec61f138cdc139dd39561448a

[ "MIT" ]

9

2019-03-10T01:22:35.000Z

2021-11-08T12:36:10.000Z

docs/conf.py

purplepinapples/aniffinity

36b6eec3c7b135aec61f138cdc139dd39561448a

[ "MIT" ]

10

2019-01-04T21:22:42.000Z

2019-04-27T13:10:53.000Z

docs/conf.py

purplepinapples/aniffinity

36b6eec3c7b135aec61f138cdc139dd39561448a

[ "MIT" ]

1

2019-04-12T08:56:14.000Z

import datetime import sys sys.path.insert(0, "..") from aniffinity import __about__ # noqa: E402 year = datetime.datetime.now().year author = __about__.__author__ project = __about__.__title__ release = __about__.__version__ copyright = "{}, {}".format(year, author) version = ".".join(release.split(".")[:2]) extensions = ["sphinx.ext.autodoc"] templates_path = ["_templates"] source_suffix = ".rst" master_doc = "index" language = None exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] pygments_style = "sphinx" html_theme = "sphinx_rtd_theme" # html_static_path = ["_static"] htmlhelp_basename = project # Force it to document ``__init__`, because it doesn't do that by default # https://stackoverflow.com/a/5599712 def skip(app, what, name, obj, skip, options): if name == "__init__": return False return skip def setup(app): app.connect("autodoc-skip-member", skip)

18.711538

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null

0

null

0

1

0

147e4c37e82e99774bdffd577533bd3c9ad7347e

716

py

Python

staff/files.py

skyydq/GreaterWMS

e14014a73b36ec0f0df03712a229b0931cb388fb

[ "Apache-2.0" ]

2

2021-11-09T10:29:44.000Z

2021-11-15T08:03:40.000Z

staff/files.py

ashrafali46/GreaterWMS

1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72

[ "Apache-2.0" ]

null

staff/files.py

ashrafali46/GreaterWMS

1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72

[ "Apache-2.0" ]

1

2021-07-01T03:05:21.000Z

from rest_framework_csv.renderers import CSVStreamingRenderer class FileRenderCN(CSVStreamingRenderer): header = [ 'staff_name', 'staff_type', 'create_time', 'update_time' ] labels = dict([ ('staff_name', u'员工用户名'), ('staff_type', u'员工类型'), ('create_time', u'创建时间'), ('update_time', u'更新时间') ]) class FileRenderEN(CSVStreamingRenderer): header = [ 'staff_name', 'staff_type', 'create_time', 'update_time' ] labels = dict([ ('staff_name', u'Staff Name'), ('staff_type', u'Staff Type'), ('create_time', u'Create Time'), ('update_time', u'Update Time'), ])

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null

0

null

0

1

0

147f39b77ce21747030f0597ae31c34fe414a767

3,837

py

Python

scripts/utils.py

AlgoveraAI/DeFi

9e98aa68ad34e5bb177ec8345121e8a03ada6edc

[ "MIT" ]

null

scripts/utils.py

AlgoveraAI/DeFi

9e98aa68ad34e5bb177ec8345121e8a03ada6edc

[ "MIT" ]

2

2021-12-15T20:15:35.000Z

2021-12-16T10:03:58.000Z

scripts/utils.py

AlgoveraAI/DeFi

9e98aa68ad34e5bb177ec8345121e8a03ada6edc

[ "MIT" ]

1

2022-01-15T11:49:59.000Z

import pandas as pd from fastai.tabular.all import * def get_token_features(df, tokens): df1 = pd.DataFrame() for tok in tokens: df_tok = df[df['Token']==tok] df_tok = df_tok.drop(['Token', 'Date'], axis=1) col_names = [] for col in df_tok.columns: if col == 'Timestamp': col_names.append(f'{col}') else: col_names.append(f'{tok}_{col}') df_tok.columns = col_names #df_tok = df_tok.set_index('Timestamp', drop=True) if df1.empty: df1 = df_tok else: df1 = pd.merge(df1, df_tok, on='Timestamp') def get_target(row, target_column, target_window): try: target = df1[df1['Timestamp'] == row['Timestamp'] + 1800.0*target_window][target_column].values[0] except: target = np.NaN return target def get_tabpandas_singletimestep(df, tokens, target_window): y_names = [] for tok in tokens: target = f'{tok}_Target' y_names.append(target) target_column = f'{tok}_Borrowing Rate' df[target] = df.apply(lambda x: get_target(x, target_column, target_window), axis=1) df = df.dropna() df = df.drop(['Timestamp', 'Date'], axis=1) df['Train'] = None train_index = int(len(df)*0.8) df.loc[:train_index, 'Train'] = True df.loc[train_index:, 'Train'] = False df = df.reset_index(drop=True) splits = (list(df[df['Train']==True].index), list(df[df['Train']==False].index)) df = df.drop(['Train'], axis=1) cont_names = list(df.columns[:len(tokens)]) procs = [Categorify, FillMissing, Normalize] y_block = RegressionBlock() to = TabularPandas(df, procs=procs, cont_names=cont_names, y_names=y_names, y_block=y_block, splits=splits) dls = to.dataloaders(bs=128) return to, dls def get_tabpandas_multi(df, target_window, n_timepoint_inp): df = df.reset_index(drop=True) feature_cols = ['DAI_Borrowing Rate', 'DAI_Deposit Rate', 'DAI_Borrow Volume', 'DAI_Supply Volume', 'USDC_Borrowing Rate', 'USDC_Deposit Rate', 'USDC_Borrow Volume', 'USDC_Supply Volume', 'USDT_Borrowing Rate', 'USDT_Deposit Rate', 'USDT_Borrow Volume', 'USDT_Supply Volume', 'ETH_Borrowing Rate', 'ETH_Deposit Rate', 'ETH_Borrow Volume', 'ETH_Supply Volume'] target_columns = ['DAI_Borrowing Rate', 'USDC_Borrowing Rate', 'USDT_Borrowing Rate', 'ETH_Borrowing Rate'] cols_names = [] for j in range(n_timepoint_inp): for col in feature_cols: cols_names.append(f'{col}_t-{n_timepoint_inp -j-1}') cols_names += target_columns pairs = [] for i, row in tqdm(df.iterrows()): if i < (len(df)-target_window-n_timepoint_inp-1): features = df.loc[i:i+n_timepoint_inp-1, feature_cols].values features = [item for sublist in features for item in sublist] targ = list(df.loc[i+n_timepoint_inp-1+target_window, target_columns].values) features += targ pairs.append(features) df = pd.DataFrame(pairs, columns=cols_names) df = df.dropna() df = df.reset_index(drop=True) #train_test_split df['Train'] = None train_index = int(len(df)*0.8) df.loc[:train_index, 'Train'] = True df.loc[train_index:, 'Train'] = False splits = (list(df[df['Train']==True].index), list(df[df['Train']==False].index)) df = df.drop(['Train'], axis=1) cont_names = list(df.columns[:-4]) procs = [Categorify, FillMissing, Normalize] y_block = RegressionBlock() to = TabularPandas(df, procs=procs, cont_names=cont_names, y_names=target_columns, y_block=y_block, splits=splits) dls = to.dataloaders(bs=128) return to, dls

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3,837

4.294118

0.204934

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0.034468

0.026513

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0.295183

0

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115

119

33.365217

0.768966

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0

0.109756

0

null

0

null

0

1

0

147ff2eb5cc2520a781b4df48351b63b5d4614b5

1,645

py

Python

tests/readers/test_po_reader.py

fabiocorneti/xlpo

9fc4729c7e139a9a9fc74c88068e2691b2b120df

[ "BSD-3-Clause" ]

null

tests/readers/test_po_reader.py

fabiocorneti/xlpo

9fc4729c7e139a9a9fc74c88068e2691b2b120df

[ "BSD-3-Clause" ]

null

tests/readers/test_po_reader.py

fabiocorneti/xlpo

9fc4729c7e139a9a9fc74c88068e2691b2b120df

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals import os import unittest from xlpo.readers import POFileTranslationsReader from tests.base import BaseTestCase class TestPOTranslationsReader(BaseTestCase): def test_valid_files(self): po_file = os.path.join(self.FILES_DIR, 'messages.po') reader = POFileTranslationsReader(po_file) self.assertEqual(len(reader), 2) self.assertEqual(reader[0].message, 'Hello') self.assertEqual(reader[0].translation, 'Ciao') self.assertEqual(reader[1].message, 'Yes') self.assertEqual(reader[1].translation, 'Sì') def test_invalid_files(self): invalid_file = os.path.join(self.FILES_DIR, 'not_a_po.po') reader = POFileTranslationsReader(invalid_file) self.assertRaises(IOError, lambda: reader.read()) def test_invalid_filenames(self): self.assertRaises(Exception, lambda: POFileTranslationsReader(None)) reader = POFileTranslationsReader('not_here') self.assertRaises(IOError, lambda: reader.read()) reader = POFileTranslationsReader(self.FILES_DIR) self.assertRaises(IOError, lambda: reader.read()) def test_caching(self): po_file = os.path.join(self.FILES_DIR, 'messages.po') reader = POFileTranslationsReader(po_file) reader.read() t1 = reader._translations self.assertTrue(t1 is not None) self.assertEqual(len(reader), 2) reader.read() t2 = reader._translations self.assertTrue(t1 is t2) if __name__ == '__main__': unittest.main()

32.9

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1,645

5.871658

0.352941

0.081967

0.043716

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0.396175

0.350638

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0.142077

0

0.009112

0.199392

1,645

49

77

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0.824601

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false

0

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0

0.277778

0

null

0

null

0

1

0

147ff7eaa3c8d013a61ba02817c8400feb311c49

6,576

py

Python

pytube/contrib/channel.py

JarbasAl/pytube

10d0bdb6761682c2a48e4c816aec4bb9b801f7aa

[ "Unlicense" ]

4,079

2015-01-08T13:09:24.000Z

2020-12-31T08:59:22.000Z

pytube/contrib/channel.py

JarbasAl/pytube

10d0bdb6761682c2a48e4c816aec4bb9b801f7aa

[ "Unlicense" ]

807

2015-02-23T12:49:43.000Z

2020-12-31T16:09:01.000Z

pytube/contrib/channel.py

JarbasAl/pytube

10d0bdb6761682c2a48e4c816aec4bb9b801f7aa

[ "Unlicense" ]

1,079

2015-01-08T10:16:47.000Z

2020-12-30T15:26:13.000Z

# -*- coding: utf-8 -*- """Module for interacting with a user's youtube channel.""" import json import logging from typing import Dict, List, Optional, Tuple from pytube import extract, Playlist, request from pytube.helpers import uniqueify logger = logging.getLogger(__name__) class Channel(Playlist): def __init__(self, url: str, proxies: Optional[Dict[str, str]] = None): """Construct a :class:`Channel <Channel>`. :param str url: A valid YouTube channel URL. :param proxies: (Optional) A dictionary of proxies to use for web requests. """ super().__init__(url, proxies) self.channel_uri = extract.channel_name(url) self.channel_url = ( f"https://www.youtube.com{self.channel_uri}" ) self.videos_url = self.channel_url + '/videos' self.playlists_url = self.channel_url + '/playlists' self.community_url = self.channel_url + '/community' self.featured_channels_url = self.channel_url + '/channels' self.about_url = self.channel_url + '/about' # Possible future additions self._playlists_html = None self._community_html = None self._featured_channels_html = None self._about_html = None @property def channel_name(self): """Get the name of the YouTube channel. :rtype: str """ return self.initial_data['metadata']['channelMetadataRenderer']['title'] @property def channel_id(self): """Get the ID of the YouTube channel. This will return the underlying ID, not the vanity URL. :rtype: str """ return self.initial_data['metadata']['channelMetadataRenderer']['externalId'] @property def vanity_url(self): """Get the vanity URL of the YouTube channel. Returns None if it doesn't exist. :rtype: str """ return self.initial_data['metadata']['channelMetadataRenderer'].get('vanityChannelUrl', None) # noqa:E501 @property def html(self): """Get the html for the /videos page. :rtype: str """ if self._html: return self._html self._html = request.get(self.videos_url) return self._html @property def playlists_html(self): """Get the html for the /playlists page. Currently unused for any functionality. :rtype: str """ if self._playlists_html: return self._playlists_html else: self._playlists_html = request.get(self.playlists_url) return self._playlists_html @property def community_html(self): """Get the html for the /community page. Currently unused for any functionality. :rtype: str """ if self._community_html: return self._community_html else: self._community_html = request.get(self.community_url) return self._community_html @property def featured_channels_html(self): """Get the html for the /channels page. Currently unused for any functionality. :rtype: str """ if self._featured_channels_html: return self._featured_channels_html else: self._featured_channels_html = request.get(self.featured_channels_url) return self._featured_channels_html @property def about_html(self): """Get the html for the /about page. Currently unused for any functionality. :rtype: str """ if self._about_html: return self._about_html else: self._about_html = request.get(self.about_url) return self._about_html @staticmethod def _extract_videos(raw_json: str) -> Tuple[List[str], Optional[str]]: """Extracts videos from a raw json page :param str raw_json: Input json extracted from the page or the last server response :rtype: Tuple[List[str], Optional[str]] :returns: Tuple containing a list of up to 100 video watch ids and a continuation token, if more videos are available """ initial_data = json.loads(raw_json) # this is the json tree structure, if the json was extracted from # html try: videos = initial_data["contents"][ "twoColumnBrowseResultsRenderer"][ "tabs"][1]["tabRenderer"]["content"][ "sectionListRenderer"]["contents"][0][ "itemSectionRenderer"]["contents"][0][ "gridRenderer"]["items"] except (KeyError, IndexError, TypeError): try: # this is the json tree structure, if the json was directly sent # by the server in a continuation response important_content = initial_data[1]['response']['onResponseReceivedActions'][ 0 ]['appendContinuationItemsAction']['continuationItems'] videos = important_content except (KeyError, IndexError, TypeError): try: # this is the json tree structure, if the json was directly sent # by the server in a continuation response # no longer a list and no longer has the "response" key important_content = initial_data['onResponseReceivedActions'][0][ 'appendContinuationItemsAction']['continuationItems'] videos = important_content except (KeyError, IndexError, TypeError) as p: logger.info(p) return [], None try: continuation = videos[-1]['continuationItemRenderer'][ 'continuationEndpoint' ]['continuationCommand']['token'] videos = videos[:-1] except (KeyError, IndexError): # if there is an error, no continuation is available continuation = None # remove duplicates return ( uniqueify( list( # only extract the video ids from the video data map( lambda x: ( f"/watch?v=" f"{x['gridVideoRenderer']['videoId']}" ), videos ) ), ), continuation, )

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null

0

null

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1

0

1481014f1238c87b509f6d7636e1089e842e9bb5

2,821

py

Python

lib/python3.6/site-packages/pony/orm/tests/test_getattr.py

PhonPhey/Magnezi

bf96246d69edc6882653ba5e1332c0eff8d10294

[ "MIT" ]

3

2017-04-27T09:37:25.000Z

2017-08-12T16:25:22.000Z

lib/python3.6/site-packages/pony/orm/tests/test_getattr.py

PhonPhey/Magnezi

bf96246d69edc6882653ba5e1332c0eff8d10294

[ "MIT" ]

2

2017-06-29T13:25:58.000Z

2017-07-21T10:09:27.000Z

lib/python3.6/site-packages/pony/orm/tests/test_getattr.py

PhonPhey/Magnezi

bf96246d69edc6882653ba5e1332c0eff8d10294

[ "MIT" ]

1

2017-10-08T11:42:52.000Z

from pony.py23compat import basestring import unittest from pony.orm import * from pony import orm from pony.utils import cached_property from pony.orm.tests.testutils import raises_exception class Test(unittest.TestCase): @cached_property def db(self): return orm.Database('sqlite', ':memory:') def setUp(self): db = self.db class Genre(db.Entity): name = orm.Required(str) artists = orm.Set('Artist') class Hobby(db.Entity): name = orm.Required(str) artists = orm.Set('Artist') class Artist(db.Entity): name = orm.Required(str) age = orm.Optional(int) hobbies = orm.Set(Hobby) genres = orm.Set(Genre) db.generate_mapping(check_tables=True, create_tables=True) with orm.db_session: pop = Genre(name='pop') Artist(name='Sia', age=40, genres=[pop]) pony.options.INNER_JOIN_SYNTAX = True @db_session def test_no_caching(self): for attr, type in zip(['name', 'age'], [basestring, int]): val = select(getattr(x, attr) for x in self.db.Artist).first() self.assertIsInstance(val, type) @db_session def test_simple(self): val = select(getattr(x, 'age') for x in self.db.Artist).first() self.assertIsInstance(val, int) @db_session def test_expr(self): val = select(getattr(x, ''.join(['ag', 'e'])) for x in self.db.Artist).first() self.assertIsInstance(val, int) @db_session def test_external(self): class data: id = 1 val = select(x.id for x in self.db.Artist if x.id >= getattr(data, 'id')).first() self.assertIsNotNone(val) @db_session def test_related(self): val = select(getattr(x.genres, 'name') for x in self.db.Artist).first() self.assertIsNotNone(val) @db_session def test_not_instance_iter(self): val = select(getattr(x.name, 'startswith')('S') for x in self.db.Artist).first() self.assertTrue(val) @db_session @raises_exception(TypeError, '`x.name` should be either external expression or constant.') def test_not_external(self): select(getattr(x, x.name) for x in self.db.Artist) @raises_exception(TypeError, 'getattr(x, 1): attribute name must be string. Got: 1') @db_session def test_not_string(self): select(getattr(x, 1) for x in self.db.Artist) @raises_exception(TypeError, 'getattr(x, name): attribute name must be string. Got: 1') @db_session def test_not_string(self): name = 1 select(getattr(x, name) for x in self.db.Artist)

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null

0

null

0

1

0

1485a31bf1f79c39d579abb85dfc18c55092eb28

3,545

py

Python

fastapi_code_generator/__main__.py

allen-munsch/fastapi-code-generator

516735f8992ab9e9b5b038a90766deffbb25e702

[ "MIT" ]

null

fastapi_code_generator/__main__.py

allen-munsch/fastapi-code-generator

516735f8992ab9e9b5b038a90766deffbb25e702

[ "MIT" ]

null

fastapi_code_generator/__main__.py

allen-munsch/fastapi-code-generator

516735f8992ab9e9b5b038a90766deffbb25e702

[ "MIT" ]

null

from datetime import datetime, timezone from pathlib import Path from typing import Dict, Optional import typer from datamodel_code_generator import PythonVersion, chdir from datamodel_code_generator.format import CodeFormatter from datamodel_code_generator.parser.openapi import OpenAPIParser as OpenAPIModelParser from jinja2 import Environment, FileSystemLoader from fastapi_code_generator.parser import MODEL_PATH, OpenAPIParser, ParsedObject app = typer.Typer() BUILTIN_TEMPLATE_DIR = Path(__file__).parent / "template" @app.command() def main( input_file: typer.FileText = typer.Option(..., "--input", "-i"), output_dir: Path = typer.Option(..., "--output", "-o"), template_dir: Optional[Path] = typer.Option(None, "--template-dir", "-t"), ) -> None: input_name: str = input_file.name input_text: str = input_file.read() return generate_code(input_name, input_text, output_dir, template_dir) def generate_code( input_name: str, input_text: str, output_dir: Path, template_dir: Optional[Path] ) -> None: if not output_dir.exists(): output_dir.mkdir(parents=True) if not template_dir: template_dir = BUILTIN_TEMPLATE_DIR model_parser = OpenAPIModelParser(source=input_text,) parser = OpenAPIParser(input_name, input_text, openapi_model_parser=model_parser) parsed_object: ParsedObject = parser.parse() environment: Environment = Environment( loader=FileSystemLoader( template_dir if template_dir else f"{Path(__file__).parent}/template", encoding="utf8", ), ) results: Dict[Path, str] = {} code_formatter = CodeFormatter(PythonVersion.PY_38, Path().resolve()) for target in template_dir.rglob("*"): relative_path = target.relative_to(template_dir) result = environment.get_template(str(relative_path)).render( operations=parsed_object.operations, imports=parsed_object.imports, info=parsed_object.info, ) results[relative_path] = code_formatter.format_code(result) timestamp = datetime.now(timezone.utc).replace(microsecond=0).isoformat() header = f"""\ # generated by fastapi-codegen: # filename: {Path(input_name).name} # timestamp: {timestamp}""" for path, code in results.items(): with output_dir.joinpath(path.with_suffix(".py")).open("wt") as file: print(header, file=file) print("", file=file) print(code.rstrip(), file=file) with chdir(output_dir): results = model_parser.parse() if not results: return elif isinstance(results, str): output = output_dir / MODEL_PATH modules = {output: (results, input_name)} else: raise Exception('Modular references are not supported in this version') header = f'''\ # generated by fastapi-codegen: # filename: {{filename}}''' # if not disable_timestamp: header += f'\n# timestamp: {timestamp}' for path, body_and_filename in modules.items(): body, filename = body_and_filename if path is None: file = None else: if not path.parent.exists(): path.parent.mkdir(parents=True) file = path.open('wt', encoding='utf8') print(header.format(filename=filename), file=file) if body: print('', file=file) print(body.rstrip(), file=file) if file is not None: file.close() if __name__ == "__main__": typer.run(main)

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0

1

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false

0

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0.164706

0.070588

0

null

0

null

0

1

0

14867dc769343133304ed2cb1cb736d1e1c8931c

752

py

Python

code/timewalk.py

spicecoder/Udacity_Robo_search

682568845e23a5d6f1db8aa2423b6a3e0396a152

[ "MIT" ]

null

code/timewalk.py

spicecoder/Udacity_Robo_search

682568845e23a5d6f1db8aa2423b6a3e0396a152

[ "MIT" ]

null

code/timewalk.py

spicecoder/Udacity_Robo_search

682568845e23a5d6f1db8aa2423b6a3e0396a152

[ "MIT" ]

null

import matplotlib.pyplot as plt import csv import time x = [] y = [] # Draw a point based on the x, y axis value. def draw_point(a,b): # Draw a point at the location (3, 9) with size 1000 plt.scatter(a, b, s=1000) # Set chart title. plt.title("Square Numbers", fontsize=19) # Set x axis label. plt.xlabel("Number", fontsize=10) # Set y axis label. plt.ylabel("Square of Number", fontsize=10) # Set size of tick labels. plt.tick_params(axis='both', which='major', labelsize=9) # Display the plot in the matplotlib's viewer. plt.show() with open('path.txt','r') as csvfile: plots = csv.reader(csvfile, delimiter=',') for row in plots: time.sleep(1) draw_point(row[0],row[1])

20.888889

60

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3.909091

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0.042283

0.080338

0

0.034722

0.234043

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35

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0.786458

0.287234

0

0.104364

0

1

0.058824

false

0

0.176471

0

0.235294

0

null

0

null

0

1

0

148fccfed7ce693db285318059d68d89b499a64d

334

py

Python

exemplo_8.py

felipesantoos/pandas

4ebecbfed9e7963ee74d9510cca9157c2fcb54c0

[ "MIT" ]

null

exemplo_8.py

felipesantoos/pandas

4ebecbfed9e7963ee74d9510cca9157c2fcb54c0

[ "MIT" ]

null

exemplo_8.py

felipesantoos/pandas

4ebecbfed9e7963ee74d9510cca9157c2fcb54c0

[ "MIT" ]

null

import pandas as pd import shutil as sh langs = { "name": ["Go", "Python", "TypeScript", "PHP"], "score": [10, 9, 10, 6] } df = pd.DataFrame(langs, index = ["lang1", "lang2", "lang3", "lang4"]) print(df.loc["lang2"]) # Retorna um Pandas Series. print("-" * sh.get_terminal_size().columns) print(df.loc[["lang3", "lang4"]])

23.857143

70

0.607784

47

334

4.276596

0.680851

0.099502

0

0.046263

0.158683

334

13

71

25.692308

0.669039

0.07485

0

0.214984

0

1

0

false

0

0.2

0

0.2

0.3

0

null

0

null

0

1

0

148feabf54ade022cfd30a6e3c7acb31b5014b87

2,563

py

Python

webserver/python2.7/site-packages/area/__init__.py

maxr1876/Radix

bf9a5470908ea0823c8398565086b1e6b960c73b

[ "BSD-2-Clause" ]

null

webserver/python2.7/site-packages/area/__init__.py

maxr1876/Radix

bf9a5470908ea0823c8398565086b1e6b960c73b

[ "BSD-2-Clause" ]

null

webserver/python2.7/site-packages/area/__init__.py

maxr1876/Radix

bf9a5470908ea0823c8398565086b1e6b960c73b

[ "BSD-2-Clause" ]

null

from __future__ import division import json from math import pi, sin __version__ = '1.1.0' WGS84_RADIUS = 6378137 def rad(value): return value * pi / 180 def ring__area(coordinates): """ Calculate the approximate _area of the polygon were it projected onto the earth. Note that this _area will be positive if ring is oriented clockwise, otherwise it will be negative. Reference: Robert. G. Chamberlain and William H. Duquette, "Some Algorithms for Polygons on a Sphere", JPL Publication 07-03, Jet Propulsion Laboratory, Pasadena, CA, June 2007 http://trs-new.jpl.nasa.gov/dspace/handle/2014/40409 @Returns {float} The approximate signed geodesic _area of the polygon in square meters. """ assert isinstance(coordinates, list) _area = 0 coordinates_length = len(coordinates) if coordinates_length > 2: for i in range(0, coordinates_length): if i == (coordinates_length - 2): lower_index = coordinates_length - 2 middle_index = coordinates_length - 1 upper_index = 0 elif i == (coordinates_length - 1): lower_index = coordinates_length - 1 middle_index = 0 upper_index = 1 else: lower_index = i middle_index = i + 1 upper_index = i + 2 p1 = coordinates[lower_index] p2 = coordinates[middle_index] p3 = coordinates[upper_index] _area += (rad(p3[0]) - rad(p1[0])) * sin(rad(p2[1])) _area = _area * WGS84_RADIUS * WGS84_RADIUS / 2 return _area def polygon__area(coordinates): assert isinstance(coordinates, list) _area = 0 if len(coordinates) > 0: _area += abs(ring__area(coordinates[0])) for i in range(1, len(coordinates)): _area -= abs(ring__area(coordinates[i])) return _area def area(geometry): if isinstance(geometry, str): geometry = json.loads(geometry) assert isinstance(geometry, dict) _area = 0 if geometry['type'] == 'Polygon': return polygon__area(geometry['coordinates']) elif geometry['type'] == 'MultiPolygon': for i in range(0, len(geometry['coordinates'])): _area += polygon__area(geometry['coordinates'][i]) elif geometry['type'] == 'GeometryCollection': for i in range(0, len(geometry['geometries'])): _area += area(geometry['geometries'][i]) return _area

26.978947

96

0.609442

305

2,563

4.927869

0.367213

0.090486

0.015968

0.029275

0.121091

0.07851

0.030605

0

0.036504

0.294577

2,563

94

97

27.265957

0.794801

0.203668

0

0.150943

0

0.053688

0

0.056604

1

0.075472

false

0

0.056604

0.018868

0.226415

0

null

0

null

0

1

0

1493a2c8eff385805e1d1e0101be2be42f87f69a

4,760

py

Python

cryptopals/set-2-block-crypto/chal-11/ecb_cbc_detection_oracle.py

reider-roque/crypto-challenges

efbc2afe5e2ca88671d9918b1d8eca26ba042b04

[ "MIT" ]

null

cryptopals/set-2-block-crypto/chal-11/ecb_cbc_detection_oracle.py

reider-roque/crypto-challenges

efbc2afe5e2ca88671d9918b1d8eca26ba042b04

[ "MIT" ]

null

cryptopals/set-2-block-crypto/chal-11/ecb_cbc_detection_oracle.py

reider-roque/crypto-challenges

efbc2afe5e2ca88671d9918b1d8eca26ba042b04

[ "MIT" ]

null

import os from base64 import b64decode from binascii import hexlify, unhexlify from functools import reduce from random import SystemRandom from Crypto.Cipher import AES def split_by_n(seq, n): """A generator to divide a sequence into chunks of n units.""" while seq: yield seq[:n] seq = seq[n:] def xor(str1, str2): """Takes two byte strings""" if len(str1) != len(str2): raise ValueError("Arguments str1 and str2 lenghts differ.") str1 = hexlify(str1) str2 = hexlify(str2) int1 = int(str1, 16) int2 = int(str2, 16) xor_result = hex(int1 ^ int2).split('x')[1] # adjust string length xor_result = xor_result.zfill(len(str1)) xor_result = unhexlify(xor_result) return xor_result def pad(plaintext, block_size): if block_size < 2 or block_size > 255: raise ValueError("block_size cannot be less than 2 and greater than 255") last_block_size = len(plaintext) % block_size pad_size = block_size - last_block_size if pad_size == 0: pad_size = 16 pad_byte = bytes([pad_size]) plaintext += pad_size * pad_byte return plaintext def unpad(plaintext): last_byte = plaintext[-1] padding_bytes = (-1-i for i in range(4)) for byte in padding_bytes: if plaintext[byte] != last_byte: return False, plaintext # Fail padding check plaintext = plaintext[:-last_byte] # Remove padding return True, plaintext def aes_block_enc(key, pt): mode = AES.MODE_ECB encryptor = AES.new(key, mode) ct = encryptor.encrypt(pt) return ct def aes_block_dec(key, ct): mode = AES.MODE_ECB decryptor = AES.new(key, mode) pt = decryptor.decrypt(ct) return pt def cbc_mode_enc(key, pt, iv): pt = pad(pt, 16) pt_blocks = split_by_n(pt, 16) # 1 block = 16 bytes ct = b"" for pt_block in pt_blocks: pt_block = xor(pt_block, iv) ct_block = aes_block_enc(key, pt_block) ct += ct_block iv = ct_block return ct def cbc_mode_dec(key, ct, iv): ct_blocks = split_by_n(ct, 16) # 1 block = 16 bytes pt = b"" for ct_block in ct_blocks: pt_block = aes_block_dec(key, ct_block) pt_block = xor(pt_block, iv) pt += pt_block iv = ct_block _, pt = unpad(plaintext) # Do not care if unpadding is successful return pt def ecb_mode_enc(key, pt): pt = pad(pt, 16) pt_blocks = split_by_n(pt, 16) # 1 block = 16 bytes ct = b"" for pt_block in pt_blocks: ct_block = aes_block_enc(key, pt_block) ct += ct_block return ct def ecb_mode_dec(key, ct): ct_blocks = split_by_n(ct, 16) # 1 block = 16 bytes pt = b"" for ct_block in ct_blocks: pt_block = aes_block_dec(key, ct_block) pt += pt_block _, pt = unpad(plaintext) # Do not care if unpadding is successful return pt def generate_aes_128_key(): return os.urandom(16) def generate_iv(block_size): return os.urandom(block_size) def pad_with_randomness(plaintext): int_gen = SystemRandom() # uses os.urandom() underneath, hence secure prefix_len = int_gen.randrange(5, 10) postfix_len = int_gen.randrange(5, 10) prefix = os.urandom(prefix_len) postfix = os.urandom(postfix_len) plaintext = prefix + plaintext + postfix return plaintext def encryption_oracle(plaintext): key = generate_aes_128_key() plaintext = pad_with_randomness(plaintext) ciphertext = "" random_byte = ord(os.urandom(1)) if random_byte <= 127: # Encrypting with ECB ciphertext = ecb_mode_enc(key, plaintext) mode = "ECB" else: # Encrypting with CBC iv = generate_iv(16) ciphertext = cbc_mode_enc(key, plaintext, iv) mode = "CBC" # return mode, ciphertext return ciphertext def distinguish_oracle_output(): plaintext = b"abcdefghijgkmnop" * 4 ciphertext = encryption_oracle(plaintext) ct_blocks = split_by_n(ciphertext, 16) distinguisher_blocks = list(ct_blocks)[1:-1] # If the ciphertext was encrypted using ECB the distinguisher_blocks # variable should contain three identical blocks at this point. # List of identicatl elelemnts converted to a set will reduce to one # element. if len(set(distinguisher_blocks)) == 1: mode = "ECB" else: mode = "CBC" print("\nCiphertext is encrypted with {} mode:\n{}".format(mode, ciphertext)) if __name__ == "__main__": distinguish_oracle_output() distinguish_oracle_output() distinguish_oracle_output() distinguish_oracle_output() distinguish_oracle_output() distinguish_oracle_output()

24.285714

81

0.65021

673

4,760

4.375929

0.236256

0.028523

0.054669

0.023769

0.274363

0.244482

0.217997

0

0.025481

0.257983

4,760

196

82

24.285714

0.808324

0.126261

0

0.393701

0

0.041616

0

1

0.11811

false

0

0.047244

0.015748

0.275591

0.007874

0

null

0

null

0

1

0

1494e411076fb87b64c4ba9ac057f14cdbcbc48e

3,739

py

Python

legacy/Box.py

JUST0M/procedural-buildings

d51add4bc769823d01f16fbe1d599d97650ec404

[ "MIT" ]

2

2021-04-13T10:46:20.000Z

2021-07-04T09:30:49.000Z

legacy/Box.py

JUST0M/procedural-buildings

d51add4bc769823d01f16fbe1d599d97650ec404

[ "MIT" ]

null

legacy/Box.py

JUST0M/procedural-buildings

d51add4bc769823d01f16fbe1d599d97650ec404

[ "MIT" ]

null

import numpy as np class Box: def __init__(self, minCoords, maxCoords): self.min = minCoords self.max = maxCoords self.planes = [*((i,self.min[i]) for i in range(3)), *((i,self.max[i]) for i in range(3))] self.size = [c2 - c1 for c1,c2 in zip(self.min, self.max)] def volume(self): diffX = self.max[0] - self.min[0] diffY = self.max[1] - self.min[1] diffZ = self.max[2] - self.min[2] return diffX * diffY * diffZ # Return a new scope such that the new scope comes # before other but within self in the given direction. # Dimensions other than the provided axis will remain the same # as self's dimensions def before(self, other, axis): if self.min[axis] == other.min[axis]: return None elif axis == 0: return Box(self.min, (other.min[0], self.max[1], self.max[2])) elif axis == 1: return Box(self.min, (self.max[0], other.min[1], self.max[2])) elif axis == 2: return Box(self.min, (self.max[0], self.max[1], other.min[2])) # Like before but after def after(self, other, axis): if self.max[axis] == other.max[axis]: return None elif axis == 0: return Box((other.max[0], self.min[1], self.min[2]), self.max) elif axis == 1: return Box((self.min[0], other.max[1], self.min[2]), self.max) elif axis == 2: return Box((self.min[0], self.min[1], other.max[2]), self.max) def takeSizeFrom(self, other, axis): if axis == 0: return Box((other.min[0], self.min[1], self.min[2]), (other.max[0], self.max[1], self.max[2])) elif axis == 1: return Box((self.min[0], other.min[1], self.min[2]), (self.max[0], other.max[1], self.max[2])) elif axis == 2: return Box((self.min[0], self.min[1], other.min[2]), (self.max[0], self.max[1], other.max[2])) def contains(self, other): for ax in (0,1,2): if self.min[ax] > other.min[ax] or self.max[ax] < other.max[ax]: return False return True def matToUnitSquare(self): sx = self.max[0] - self.min[0] sy = self.max[1] - self.min[1] sz = self.max[2] - self.min[2] return np.array([[1/sx, 0, 0, -self.min[0]/sx - 0.5], [0, 1/sy, 0, -self.min[1]/sy - 0.5], [0, 0, 1/sz, -self.min[2]/sz - 0.5], [0, 0, 0, 1]]) def boundWith(self, other): newMin = tuple(min(pair) for pair in zip(self.min, other.min)) newMax = tuple(max(pair) for pair in zip(self.max, other.max)) return Box(newMin, newMax) def cutWith(self, plane): planeAxis, planeCoord = plane beforeMin = self.min beforeMax = tuple(planeCoord if i==planeAxis else self.max[i] for i in range(3)) afterMin = tuple(planeCoord if i==planeAxis else self.min[i] for i in range(3)) afterMax = self.max return Box(beforeMin, beforeMax), Box(afterMin, afterMax) def relationTo(self, plane): planeAxis, planeCoord = plane if self.min[planeAxis] < planeCoord: if self.max[planeAxis] <= planeCoord: return 'before' else: return 'intersect' else: return 'after' def __str__(self): return f"min: {self.min}, max: {self.max}" def __repr__(self): return f"min: {self.min}, max: {self.max}"

38.546392

89

0.514844

531

3,739

3.602637

0.165725

0.128071

0.033455

0.058547

0.49242

0.411396

0.357031

0.250915

0.158913

0.107162

0

0.03632

0.337256

3,739

96

90

38.947917

0.735674

0.054827

0

0.205128

0

0.024483

0

1

0.153846

false

0

0.012821

0.025641

0.461538

0

null

0

null

0

1

0

1494f6a3975880fab8630625b748fe8b61a44ed1

1,032

py

Python

backend-services/mongodbtest.py

Off-Top-App/off-top-python

af51a7da0e52d6ad978835cb05986d7c2a917861

[ "bzip2-1.0.6" ]

3

2019-12-01T23:09:12.000Z

2020-12-22T03:02:37.000Z

backend-services/mongodbtest.py

Off-Top-App/off-top-python

af51a7da0e52d6ad978835cb05986d7c2a917861

[ "bzip2-1.0.6" ]

5

2020-03-05T17:17:12.000Z

2020-06-16T07:02:27.000Z

backend-services/mongodbtest.py

Off-Top-App/off-top-python

af51a7da0e52d6ad978835cb05986d7c2a917861

[ "bzip2-1.0.6" ]

1

2020-05-18T12:57:14.000Z

from pymongo import MongoClient # pprint library is used to make the output look more pretty from pprint import pprint import datetime # connect to MongoDB #To establish a connection to MongoDB with PyMongo you use the MongoClient class client = MongoClient('mongodb://localhost:27017/') #create a database object referencing a new database, called “newDB” #A single instance of MongoDB can support multiple independent databases. #MongoDB stores flexible JSON-like documents with client: db = client.newDB #Creating a test collection which is a group of documents roughly the equivalent of a table in a relational database collection1= db.test_collection collectionList= db.list_collection_names() if "customers" in collectionList: print("The collection exists.") # Issue the serverStatus command and print the results serverStatusResult = db.command("serverStatus") #status = db.command("dbstats") print(collectionList) #db.collection_names() is depreciated pprint(serverStatusResult)

41.28

116

0.778101

135

1,032

5.918519

0.562963

0.030038

0

0.006944

0.162791

1,032

24

117

43

0.917824

0.554264

0

0.153675

0.057906

0

1

0

false

0

0.230769

0

0.230769

0.307692

0

null

0

null

0

1

0

1499ce61f55da5d49e4d66d22bd91de18f3eb916

1,235

py

Python

examples/python/atkinson_example.py

shenlong95/concentrationMetrics

266cdc5465cb948e5726aff52f10bc5b51a6ed8e

[ "MIT" ]

1

2022-03-02T14:38:25.000Z

examples/python/atkinson_example.py

shenlong95/concentrationMetrics

266cdc5465cb948e5726aff52f10bc5b51a6ed8e

[ "MIT" ]

null

examples/python/atkinson_example.py

shenlong95/concentrationMetrics

266cdc5465cb948e5726aff52f10bc5b51a6ed8e

[ "MIT" ]

null

# encoding: utf-8 # (c) 2016-2022 Open Risk, all rights reserved # # ConcentrationMetrics is licensed under the MIT license a copy of which is included # in the source distribution of concentrationMetrics. This is notwithstanding any licenses of # third-party software included in this distribution. You may not use this file except in # compliance with the License. # # 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 concentrationMetrics as cm import pandas as pd dataset_path = cm.source_path + "/datasets/" # Comparison with R version in IC2 package on hhbudget dataset # Expected Results: # Epsilon 0: 0 # Epsilon 1: 0.3245925 # Epsilon 2: 0.4951668 # Epsilon 3: 0.6053387 # Epsilon 4: 0.6856425 hhbudgets = pd.read_csv(dataset_path + "hhbudgets.csv") y = hhbudgets["ingreso"].values myIndex = cm.Index() # print(cl.atkinson(y, 0)) print(myIndex.atkinson(y, 1)) print(myIndex.atkinson(y, 2)) print(myIndex.atkinson(y, 3)) print(myIndex.atkinson(y, 4))

32.5

96

0.765992

187

1,235

5.037433

0.566845

0.047771

0.084926

0.089172

0

0.050573

0.151417

1,235

37

97

33.378378

0.848282

0.695547

0

0.084507

0

1

0

false

0

0.2

0

0.2

0.4

0

null

0

null

0

1

0

149a2938cb8b209c78d4c945bf2f3f42bf24a389

1,537

py

Python

kcorpusParse.py

passingbreeze/findAntisocial

704274c07ae8e03b903865d60c9188443b6e34fd

[ "MIT" ]

null

kcorpusParse.py

passingbreeze/findAntisocial

704274c07ae8e03b903865d60c9188443b6e34fd

[ "MIT" ]

null

kcorpusParse.py

passingbreeze/findAntisocial

704274c07ae8e03b903865d60c9188443b6e34fd

[ "MIT" ]

null

# -*- encoding:utf-8 -*- import re ## Path Config in here readTargetFolder = 'My Path' outTargetFolder = readTargetFolder + 'conv_' headNumber = range(4,9) indexNumber = range(1,100) fileCategory = ['CM','CK','CL'] contentReg = r'<s n=\d+>(.*?)<\/s>' def remove_tag(content): cleanr = re.compile('<.*?>') cleantext = re.sub(cleanr, '', content) specialr = re.compile('[\:\,\.\?\~]') cleantext = re.sub(specialr,'',cleantext) return cleantext def parse(fileName): rx = re.compile(contentReg) result = "" try: rf = open(readTargetFolder + fileName, 'r', encoding='utf-16-le') wf = open(outTargetFolder + fileName,'w', encoding='utf-8') lines = rf.readlines() cnt = 0 for line in lines: cnt += 1 m = rx.findall(line) for mm in m: curret = remove_tag(mm) if not curret: continue result += curret + ' #\n' wf.write(result) rf.close() wf.close() except FileNotFoundError: print(fileName + ': FNF Error') pass def main(): for headnumber in headNumber: for filecategory in fileCategory: for indexnumber in indexNumber: numberFormat = str(indexnumber).zfill(5) filename = str(headnumber) + filecategory + numberFormat + '.txt' parse(filename) if __name__ == '__main__': main()

27.446429

82

0.527651

156

1,537

5.128205

0.5

0.04125

0.03

0.05

0.0575

0

0.012758

0.33702

1,537

56

83

27.446429

0.772326

0.027326

0

0.067502

0

1

0.068182

false

0.022727

0

0.113636

0.022727

0

null

0

null

0

1

0

149f538f5367f0f292bb57d5e03344b3411fb3be

3,639

py

Python

search_service/api/table.py

fossabot/amundsensearchlibrary

dd169e486f7a9cd3233e184a416872d892f55078

[ "Apache-2.0" ]

null

search_service/api/table.py

fossabot/amundsensearchlibrary

dd169e486f7a9cd3233e184a416872d892f55078

[ "Apache-2.0" ]

1

2019-09-21T23:59:47.000Z

search_service/api/table.py

fossabot/amundsensearchlibrary

dd169e486f7a9cd3233e184a416872d892f55078

[ "Apache-2.0" ]

1

2019-09-21T23:56:40.000Z

from http import HTTPStatus from typing import Iterable, Any from flask_restful import Resource, fields, marshal_with, reqparse from search_service.proxy import get_proxy_client table_fields = { "name": fields.String, "key": fields.String, # description can be empty, if no description is present in DB "description": fields.String, "cluster": fields.String, "database": fields.String, "schema_name": fields.String, "column_names": fields.List(fields.String), # tags can be empty list "tags": fields.List(fields.String), # last etl timestamp as epoch "last_updated_epoch": fields.Integer, } search_table_results = { "total_results": fields.Integer, "results": fields.Nested(table_fields, default=[]) } TABLE_INDEX = 'table_search_index' class SearchTableAPI(Resource): """ Search Table API """ def __init__(self) -> None: self.proxy = get_proxy_client() self.parser = reqparse.RequestParser(bundle_errors=True) self.parser.add_argument('query_term', required=True, type=str) self.parser.add_argument('page_index', required=False, default=0, type=int) self.parser.add_argument('index', required=False, default=TABLE_INDEX, type=str) super(SearchTableAPI, self).__init__() @marshal_with(search_table_results) def get(self) -> Iterable[Any]: """ Fetch search results based on query_term. :return: list of table results. List can be empty if query doesn't match any tables """ args = self.parser.parse_args(strict=True) try: results = self.proxy.fetch_table_search_results( query_term=args.get('query_term'), page_index=args.get('page_index'), index=args.get('index') ) return results, HTTPStatus.OK except RuntimeError: err_msg = 'Exception encountered while processing search request' return {'message': err_msg}, HTTPStatus.INTERNAL_SERVER_ERROR class SearchTableFieldAPI(Resource): """ Search Table API with explict field """ def __init__(self) -> None: self.proxy = get_proxy_client() self.parser = reqparse.RequestParser(bundle_errors=True) self.parser.add_argument('query_term', required=False, type=str) self.parser.add_argument('page_index', required=False, default=0, type=int) self.parser.add_argument('index', required=False, default=TABLE_INDEX, type=str) super(SearchTableFieldAPI, self).__init__() @marshal_with(search_table_results) def get(self, *, field_name: str, field_value: str) -> Iterable[Any]: """ Fetch search results based on query_term. :param field_name: which field we should search from(schema, tag, table) :param field_value: the value to search for the field :return: list of table results. List can be empty if query doesn't match any tables """ args = self.parser.parse_args(strict=True) try: results = self.proxy.fetch_table_search_results_with_field( query_term=args.get('query_term'), field_name=field_name, field_value=field_value, page_index=args.get('page_index'), index=args.get('index') ) return results, HTTPStatus.OK except RuntimeError: err_msg = 'Exception encountered while processing search request' return {'message': err_msg}, HTTPStatus.INTERNAL_SERVER_ERROR

31.643478

88

0.650179

435

3,639

5.225287

0.264368

0.043995

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null

0

1

0

149ffff8d64cab91c2f9be2e3f80f8c9c1f39873

6,370

py

Python

cidan/LSSC/SpatialBox.py

Mishne-Lab/cidan

3f579b6d5a49e17690e9aa07dfb60d3e8c05e681

[ "MIT" ]

2

2020-11-24T17:47:23.000Z

2021-05-20T16:19:53.000Z

cidan/LSSC/SpatialBox.py

Mishne-Lab/CIDAN

30d1176773e3ad0f236ba342cba48c89492f4e63

[ "MIT" ]

4

2020-08-18T16:42:23.000Z

2020-08-18T20:58:12.000Z

cidan/LSSC/SpatialBox.py

Mishne-Lab/cidan

3f579b6d5a49e17690e9aa07dfb60d3e8c05e681

[ "MIT" ]

1

2020-08-12T18:47:22.000Z

import logging from typing import Tuple import numpy as np from dask import delayed logger1 = logging.getLogger("cidan.LSSC.SpatialBox") class SpatialBox: def __init__(self, box_num: int, total_boxes: int, image_shape: Tuple[int, int], spatial_overlap: int): logger1.debug( "Spatial Box creation inputs: box num {0}, total boxes {1}, image shape {2}, spatial overlap {3}".format( box_num, total_boxes, image_shape, spatial_overlap)) # TODO implement spatial overlap self.box_num = box_num self.total_boxes = total_boxes self.image_shape = image_shape self.boxes_per_row = int(total_boxes ** .5) self.spatial_overlap = spatial_overlap self.y_box_num = box_num // self.boxes_per_row self.x_box_num = box_num - (self.y_box_num * self.boxes_per_row) self.box_cord_1 = [((image_shape[0] // self.boxes_per_row) * self.x_box_num) - spatial_overlap, (image_shape[1] // self.boxes_per_row) * self.y_box_num - spatial_overlap] self.box_cord_2 = [(image_shape[0] // self.boxes_per_row) * ( self.x_box_num + 1) + spatial_overlap, (image_shape[1] // self.boxes_per_row) * ( self.y_box_num + 1) + spatial_overlap] self.box_cord_1[0] = 0 if self.box_cord_1[0] < 0 else self.box_cord_1[0] self.box_cord_1[1] = 0 if self.box_cord_1[1] < 0 \ else self.box_cord_1[1] self.box_cord_2[0] = image_shape[0] if self.box_cord_2[0] > image_shape[0] \ else \ self.box_cord_2[0] self.box_cord_2[1] = image_shape[1] if self.box_cord_2[1] > image_shape[1] \ else self.box_cord_2[1] self.shape = (self.box_cord_2[0] - self.box_cord_1[0], self.box_cord_2[ 1] - self.box_cord_1[1]) logger1.debug(("Spatial box creation: Boxes per row {0}, y_box_num {1}, " + "x_box_num" + " {2}, box cord 1 {3}, box cord 2 {4}, shape {5}" ).format(self.boxes_per_row, self.y_box_num, self.x_box_num, self.box_cord_1, self.box_cord_2, self.shape)) @delayed def extract_box(self, dataset): return dataset[:, self.box_cord_1[0]:self.box_cord_2[0], self.box_cord_1[1]: self.box_cord_2[1]] @delayed def redefine_spatial_cord_2d(self, cord_list): return [(x + self.box_cord_1[0], y + self.box_cord_1[1]) for x, y in cord_list] def pointInBox(self, point): """ Checks if a point is in the box Parameters ---------- point Returns ------- """ return self.box_cord_1[0] <= point[0] <= self.box_cord_2[0] \ and self.box_cord_1[1] <= point[1] <= self.box_cord_2[1] def point_to_box_point(self, point): """ Converts a point in the image to its cords in the box Parameters ---------- point 2d point Returns ------- tuple of new cords """ return (point[0] - self.box_cord_1[0], point[1] - self.box_cord_1[1]) @delayed def redefine_spatial_cord_1d(self, cord_list): box_length = self.box_cord_2[1] - self.box_cord_1[1] def change_1_cord(x): return ((x // box_length) + self.box_cord_1[0]) * self.image_shape[ 1] + self.box_cord_1[1] + x % box_length return list(map(change_1_cord, cord_list)) def convert_1d_to_2d(self, cord_list): def change_1_cord(cord_1d): return int(cord_1d // self.shape[1]), int(cord_1d - ( cord_1d // self.shape[1]) * self.shape[1]) return list(map(change_1_cord, cord_list)) def data_w_out_spatial_overlap(self, data): """ Parameters ---------- data 2d dataset Returns ------- """ if self.total_boxes == 1: return data x = [0, self.shape[0]] y = [0, self.shape[1]] # This uses which column each box is in to determin overlap parts, first, last, # any other column if self.box_num % self.boxes_per_row == 0: x[1] = self.shape[0] - self.spatial_overlap elif self.box_num % self.boxes_per_row == self.boxes_per_row - 1: x[0] = self.spatial_overlap else: x[0] = self.spatial_overlap x[1] = self.shape[0] - self.spatial_overlap # This uses which row each box is in to determin overlap parts, first, last, # any other row if self.box_num // self.boxes_per_row == 0: y[1] = self.shape[1] - self.spatial_overlap elif self.box_num // self.boxes_per_row == self.boxes_per_row - 1: y[0] = self.spatial_overlap else: y[0] = self.spatial_overlap y[1] = self.shape[1] - self.spatial_overlap return data[x[0]:x[1], y[0]:y[1]] def combine_images(spatial_box_list, data_list): """ Parameters ---------- spatial_box_list data_list list of reshaped eigen vectors in the correct shape for these boxes Returns ------- """ # Going to go through the lists in a 2d format using number of spatial boxes is always square spatial_box_num = len(spatial_box_list) spatial_box_root = int(spatial_box_num ** .5) data_matched = [] for y in range(spatial_box_root): temp = [] for x in range(spatial_box_root): current_spatial_box = spatial_box_list[y * spatial_box_root + x] current_data = data_list[y * spatial_box_root + x] temp.append(current_spatial_box.data_w_out_spatial_overlap(current_data)) stacked = np.vstack(temp) data_matched.append(stacked) all_data = np.hstack(data_matched) return all_data if __name__ == '__main__': test = SpatialBox(box_num=0, total_boxes=9, image_shape=[1, 9, 9], spatial_overlap=0) pixel_list = test.redefine_spatial_cord_1d([0, 4, 8]).compute() zeros = np.zeros((9 * 9)) zeros[pixel_list] = 1 print(zeros.reshape((9, 9)))

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null

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null

0

1

0

14a0c11dcb55cf743f8fa6d47c0541a4c1e0d0e5

6,252

py

Python

Experiments/TrainStackedClassification.py

christymarc/raycasting-simulation

ed9b92143d3eb1c5a25900419ead517f93f8c315

[ "MIT" ]

null

Experiments/TrainStackedClassification.py

christymarc/raycasting-simulation

ed9b92143d3eb1c5a25900419ead517f93f8c315

[ "MIT" ]

null

Experiments/TrainStackedClassification.py

christymarc/raycasting-simulation

ed9b92143d3eb1c5a25900419ead517f93f8c315

[ "MIT" ]

null

# --- # jupyter: # jupytext: # formats: py:light # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.11.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- from argparse import ArgumentParser import matplotlib.pyplot as plt import os.path from os import path from fastai.vision.all import * from fastai.callback.progress import CSVLogger from torchvision import transforms # Assign GPU torch.cuda.set_device(1) print("Running on GPU: " + str(torch.cuda.current_device())) # Constants (same for all trials) VALID_PCT = 0.05 NUM_REPLICATES = 4 NUM_EPOCHS = 8 DATASET_DIR = Path("/raid/clark/summer2021/datasets") MODEL_PATH_REL_TO_DATASET = Path("stacked_models2") DATA_PATH_REL_TO_DATASET = Path("stacked_data2") VALID_MAZE_DIR = Path("../Mazes/validation_mazes8x8/") compared_models = { "alexnet": alexnet, "xresnext50": xresnext50, "xresnext18": xresnext18, "densenet121": densenet121, } img_dir = Path("/raid/clark/summer2021/datasets/corrected-wander-full/") img_filenames = list(img_dir.glob("*.png")) img_filenames.sort() def get_pair_2(o): curr_im_num = int(Path(o).name[:6]) prev_im_num = curr_im_num if curr_im_num == 0 else curr_im_num - 1 prev_im = img_filenames[prev_im_num] img1 = Image.open(o).convert('RGB') img2 = Image.open(prev_im).convert('RGB') img1_arr = np.array(img1, dtype=np.uint8) img2_arr = np.array(img2, dtype=np.uint8) new_shape = list(img1_arr.shape) new_shape[-1] = new_shape[-1] * 2 img3_arr = np.zeros(new_shape, dtype=np.uint8) img3_arr[:, :, :3] = img1_arr img3_arr[:, :, 3:] = img2_arr return img3_arr.T.astype(np.float32) def get_fig_filename(prefix: str, label: str, ext: str, rep: int) -> str: fig_filename = f"{prefix}-{label}-{rep}.{ext}" print(label, "filename :", fig_filename) return fig_filename def filename_to_class(filename) -> str: angle = float(str(filename).split("_")[1].split(".")[0].replace("p", ".")) if angle > 0: return "left" elif angle < 0: return "right" else: return "forward" def prepare_dataloaders(dataset_name: str, prefix: str) -> DataLoaders: path = DATASET_DIR / dataset_name db = DataBlock( blocks=((ImageBlock, ImageBlock), CategoryBlock), get_items=get_image_files, get_x=get_pair_2, get_y=filename_to_class, splitter=RandomSplitter(valid_pct=VALID_PCT) ) dls = db.dataloaders(path, bs=64) return dls # type: ignore def train_model( dls: DataLoaders, model_arch: str, pretrained: bool, logname: Path, modelname: Path, prefix: str, rep: int, ): learn = cnn_learner( dls, compared_models[model_arch], metrics=accuracy, pretrained=pretrained, cbs=CSVLogger(fname=logname), ) out_channels = learn.model[0][0][0].out_channels kernel_size = learn.model[0][0][0].kernel_size stride = learn.model[0][0][0].stride padding = learn.model[0][0][0].padding if (model_arch == "alexnet"): learn.model[0][0][0] = nn.Conv2d(6, out_channels, kernel_size=kernel_size, stride=stride, padding=padding) else: bias = learn.model[0][0][0].bias learn.model[0][0][0] = nn.Conv2d(6, out_channels, kernel_size=kernel_size, stride=stride, padding=padding, bias=bias) if pretrained: learn.fine_tune(NUM_EPOCHS) else: learn.fit_one_cycle(NUM_EPOCHS) # The follwing line is necessary for pickling learn.remove_cb(CSVLogger) learn.export(modelname) """ learn.show_results() plt.savefig(get_fig_filename(prefix, "results", "pdf", rep)) interp = ClassificationInterpretation.from_learner(learn) interp.plot_top_losses(9, figsize=(15, 10)) plt.savefig(get_fig_filename(prefix, "toplosses", "pdf", rep)) interp.plot_confusion_matrix(figsize=(10, 10)) plt.savefig(get_fig_filename(prefix, "confusion", "pdf", rep))""" def main(): arg_parser = ArgumentParser("Train stacked classification networks.") arg_parser.add_argument( "model_arch", help="Model architecture (see code for options)" ) arg_parser.add_argument( "dataset_name", help="Name of dataset to use (handmade-full | corrected-wander-full)" ) arg_parser.add_argument( "--pretrained", action="store_true", help="Use pretrained model" ) args = arg_parser.parse_args() # TODO: not using this (would require replacing first layer) # rgb_instead_of_gray = True # Make dirs as needed model_dir = DATASET_DIR / args.dataset_name / MODEL_PATH_REL_TO_DATASET model_dir.mkdir(exist_ok=True) print(f"Created model dir (or it already exists) : '{model_dir}'") data_dir = DATASET_DIR / args.dataset_name / DATA_PATH_REL_TO_DATASET data_dir.mkdir(exist_ok=True) print(f"Created data dir (or it already exists) : '{data_dir}'") file_prefix = "classification-" + args.model_arch # file_prefix += "-rgb" if rgb_instead_of_gray else "-gray" file_prefix += "-pretrained" if args.pretrained else "-notpretrained" fig_filename_prefix = data_dir / file_prefix dls = prepare_dataloaders(args.dataset_name, fig_filename_prefix) # Train NUM_REPLICATES separate instances of this model and dataset for rep in range(NUM_REPLICATES): model_filename = DATASET_DIR / args.dataset_name / MODEL_PATH_REL_TO_DATASET / f"{file_prefix}-{rep}.pkl" print("Model relative filename :", model_filename) # Checks if model exists and skip if it does (helps if this crashes) if path.exists(model_filename): continue log_filename = DATASET_DIR / args.dataset_name / DATA_PATH_REL_TO_DATASET / f"{file_prefix}-trainlog-{rep}.csv" print("Log relative filename :", log_filename) train_model( dls, args.model_arch, args.pretrained, log_filename, model_filename, fig_filename_prefix, rep, ) if __name__ == "__main__": main()

29.630332

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4.762305

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0.045113

0

null

0

null

0

1

0

14a1b02d39821a15e7fefd1639adef1cef0c66ac

502

py

Python

list-operations/Element-insertion/Python/insertion.py

Prince23598/cs-algorithms

75c90a0603092e8d6d9c5b982beab6729c8cb516

[ "MIT" ]

239

2019-10-07T11:01:56.000Z

2022-01-27T19:08:55.000Z

list-operations/Element-insertion/Python/insertion.py

ashfreakingoyal/cs-algorithms

08f5aba5c3379e17d03b899fc36efcdccebd181c

[ "MIT" ]

176

2019-10-07T06:59:49.000Z

2020-09-30T08:16:22.000Z

list-operations/Element-insertion/Python/insertion.py

ashfreakingoyal/cs-algorithms

08f5aba5c3379e17d03b899fc36efcdccebd181c

[ "MIT" ]

441

2019-10-07T07:34:08.000Z

2022-03-15T07:19:58.000Z

#this program doesn't use inbuild list functions except append def insertion(arr): #inserting an element at a particular index of the list global n x = int(input("postion :")) y = int(input("element :")) arr.append(arr[-1]) for i in range(n-1,x,-1): arr[i] =arr[i-1] arr[x] = y n = n+1 #incrementing the list size variable n =int(input('No. of elements : ')) arr = [] print("Input the elements of the list\n") for i in range(n): x =int(input()) arr.append(x) insertion(arr) print(arr)

20.08

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0.117647

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null

0

null

0

1

0

14a4da818e55244ad6c1eca2a65a5ca929728ea0

4,652

py

Python

windows_auth/scheduler.py

sourcery-ai-bot/django-windowsauth

6701dcf4672e9d642185a547c3e193568ae98103

[ "BSD-3-Clause" ]

20

2020-12-18T12:24:47.000Z

2022-03-16T12:15:08.000Z

windows_auth/scheduler.py

sourcery-ai-bot/django-windowsauth

6701dcf4672e9d642185a547c3e193568ae98103

[ "BSD-3-Clause" ]

4

2021-01-15T16:42:18.000Z

2021-10-30T03:38:56.000Z

windows_auth/scheduler.py

sourcery-ai-bot/django-windowsauth

6701dcf4672e9d642185a547c3e193568ae98103

[ "BSD-3-Clause" ]

2

2021-07-23T19:25:41.000Z

2022-03-16T12:15:10.000Z

import os from pathlib import Path from typing import Optional import win32com.client from pythoncom import com_error from django.conf import settings from django.utils import timezone _PYTHON_PATH = str(Path(os.environ.get("VIRTUAL_ENV")) / "Scripts" / "python.exe") LOCAL_SYSTEM = "NT Authority\\LocalSystem" LOCAL_SERVICE = "NT Authority\\LocalService" NETWORK_SERVICE = "NT Authority\\NetworkService" APPLICATION_POOL_IDENTITY = "IIS AppPool\\DefaultAppPool" _scheduler = win32com.client.Dispatch('Schedule.Service') _scheduler.Connect() def _get_absolute_command_line(command_line): return f"{Path(settings.BASE_DIR) / 'manage.py'} {command_line}" def create_task_definition(command_line, description: str = "", priority: int = 3, timeout: timezone.timedelta = timezone.timedelta(hours=1)): """ Create a new Scheduled Task definition for a Django Management Command. :param command_line: The management command with arguments. :param description: Task description. :param priority: Task priority https://docs.microsoft.com/en-us/windows/win32/taskschd/tasksettings-priority. :param timeout: Maximum execution time. :return: Task Definition https://docs.microsoft.com/en-us/windows/win32/taskschd/taskdefinition """ # create task task_def = _scheduler.NewTask(0) task_def.RegistrationInfo.Description = description task_def.RegistrationInfo.Source = os.path.basename(settings.BASE_DIR) # run as a Service Account task_def.Principal.LogonType = 5 task_def.Principal.RunLevel = 1 # configure settings task_def.Settings.Enabled = True task_def.Settings.StopIfGoingOnBatteries = False task_def.Settings.StartWhenAvailable = True task_def.Settings.WakeToRun = True task_def.Settings.AllowDemandStart = True task_def.Settings.AllowHardTerminate = True task_def.Settings.Priority = priority task_def.Settings.ExecutionTimeLimit = f"PT{timeout.seconds}S" task_def.Settings.RestartCount = 3 task_def.Settings.RestartInterval = "PT1M" # create action https://docs.microsoft.com/en-us/windows/win32/taskschd/actioncollection-create action = task_def.Actions.Create(0) # parameters https://docs.microsoft.com/en-us/windows/win32/taskschd/execaction action.Path = _PYTHON_PATH action.Arguments = _get_absolute_command_line(command_line) action.WorkingDirectory = str(settings.BASE_DIR) return task_def def add_schedule_trigger(task_def, interval: timezone.timedelta, random: Optional[timezone.timedelta] = None) -> None: """ Add trigger for time scheduled executions. When interval is grater then one day, the interval is rounded to days. :param task_def: Task Definition https://docs.microsoft.com/en-us/windows/win32/taskschd/taskdefinition. :param interval: Time delta between executions. :param random: Randomize execution inside a time span. """ trigger = task_def.Triggers.Create(2) # daily trigger trigger.StartBoundary = timezone.now().isoformat() if interval.days: # if interval longer then a day trigger.DaysInterval = interval.days else: trigger.Repetition.Duration = "P1D" trigger.Repetition.Interval = f"PT{interval.seconds}S" if random: trigger.RandomDelay = f"PT{interval.seconds}S" def register_task(task_def, name: str, folder: str = None, username: str = LOCAL_SERVICE, password: Optional[str] = None): """ Register new task definition to Windows Task Scheduler. :param task_def: Task Definition https://docs.microsoft.com/en-us/windows/win32/taskschd/taskdefinition. :param name: Task name. :param folder: Task folder (created automatically). :param username: Principal username (for service principals) :param password: Principal password :return: Registered Task https://docs.microsoft.com/en-us/windows/win32/taskschd/registeredtask """ if folder: # get or create folder root_folder = _scheduler.GetFolder("\\") try: task_folder = root_folder.GetFolder(folder) except com_error: task_folder = root_folder.CreateFolder(folder) else: task_folder = _scheduler.GetFolder("\\") # register task https://docs.microsoft.com/en-us/windows/win32/taskschd/taskfolder-registertaskdefinition return task_folder.RegisterTaskDefinition( name, task_def, 6, # create or update username, password, 1 if password else 3, # password or interactive token (user is logged on) )

39.423729

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0

null

0

null

0

1

0

14a4e5e4e89e6e753f18f7181ec73bb1d3a9ba73

5,777

py

Python

server/app.py

sofignatova/02books

9eed066fee5503c88359958708dfb8eba56e465a

[ "MIT" ]

38

2020-12-22T01:15:38.000Z

2021-11-09T11:01:40.000Z

server/app.py

sofignatova/02books

9eed066fee5503c88359958708dfb8eba56e465a

[ "MIT" ]

1

2020-12-21T19:11:11.000Z

server/app.py

sofignatova/02books

9eed066fee5503c88359958708dfb8eba56e465a

[ "MIT" ]

3

2020-12-22T04:17:50.000Z

2020-12-22T09:03:37.000Z

import json import os import os.path from typing import List, Optional import flask from flask import Flask, Response, jsonify, request import api import corpus import correct_runs_suggestor import filestorage import firestore_storage import storage import word_suggestor app = Flask(__name__) if os.environ.get("GAE_APPLICATION"): app.config["STORAGE"] = firestore_storage.FirestoreStorage() else: app.config["STORAGE"] = filestorage.FileStorage(os.path.join(app.root_path, "data")) app.config["CORPORA"] = corpus.get_corpora() def _get_storage() -> storage.Storage: return app.config["STORAGE"] def _get_suggestor() -> word_suggestor.WordSuggestor: if "suggestor" in flask.g: return flask.g.suggestor suggestion_data = _get_storage().load_suggestion_data( correct_runs_suggestor.CorrectRunsSuggestor.NAME, _get_user_id() ) flask.g.suggestor = ( correct_runs_suggestor.CorrectRunsSuggestor.from_suggestion_data( suggestion_data ) ) return flask.g.suggestor def _get_corpora() -> List[corpus.Corpus]: return app.config["CORPORA"] def _get_user_id() -> str: user_id = request.args.get("user_id") if user_id is None: raise storage.UserDoesNotExist("user not specified") store = _get_storage() store.check_user_exists(user_id) return user_id def _get_default_settings() -> storage.UserSettings: return storage.UserSettings(selected_corpus_id="curated") def _get_settings() -> storage.UserSettings: if "settings" in flask.g: return flask.g.settings settings = _get_storage().load_user_settings(_get_user_id()) if settings is None: settings = _get_default_settings() flask.g.settings = settings return settings def _get_corpus() -> corpus.Corpus: selected_corpus_id = _get_settings().selected_corpus_id return corpus.get_corpus(selected_corpus_id) def _string_to_word(raw_word: str, c: Optional[corpus.Corpus] = None) -> api.Word: settings = _get_settings() c = c or _get_corpus() suggestor = _get_suggestor() level_of_mastery = suggestor.get_mastery(raw_word) return api.Word( word=raw_word, level_of_mastery=level_of_mastery or 0.0, is_new=level_of_mastery is None, corpus_count=c.get_count(raw_word), removed=raw_word in settings.removed_words, ) @app.errorhandler(storage.UserDoesNotExist) def handle_user_does_not_exist(e): data = {"errors": [{"detail": str(e)}]} return Response(json.dumps(data), status=400, content_type="application/json") @app.route("/_ah/warmup") def warmup(): """Handle App Engine warmup requests. See https://cloud.google.com/appengine/docs/standard/python3/configuring-warmup-requests. """ return "", 200, {} @app.route("/api/users", methods=["POST"]) def handle_users(): store = _get_storage() user_id = store.create_user() store.save_user_settings(user_id, _get_default_settings()) return jsonify(data={"id": user_id}) @app.route("/api/corpora", methods=["GET"]) def handle_corpora(): return jsonify( data=[ api.Corpus( id_=c.corpus_id, name=c.name, description=c.description, link=c.url, words=[_string_to_word(s, c) for s in c.ordered_word_list], source=api.Corpus.CorpusSource(c.source.value), reader_level=c.reader_level, ).to_dict() for c in _get_corpora() ], ) @app.route("/api/settings", methods=["GET", "PATCH"]) def handle_settings(): user_settings = _get_settings() if request.method == "PATCH": if "removed_words" in request.json: removed_words = request.json["removed_words"] else: removed_words = user_settings.removed_words if "selected_corpus_id" in request.json: selected_corpus_id = request.json["selected_corpus_id"] else: selected_corpus_id = user_settings.selected_corpus_id user_settings = storage.UserSettings( selected_corpus_id=selected_corpus_id, removed_words=removed_words, ) _get_storage().save_user_settings(_get_user_id(), user_settings) return jsonify( data=api.UserSettings( selected_corpus_id=user_settings.selected_corpus_id, removed_words=user_settings.removed_words, ).to_dict() ) @app.route("/api/trainings", methods=["POST"]) def handle_trainings(): training = api.Training.from_dict(request.json) store = _get_storage() user_id = _get_user_id() suggestion_data = _get_suggestor().update_suggestion_data( training.sentence, [(wc.word, wc.correct) for wc in training.word_correctness] ) store.save_suggestion_data(_get_suggestor().NAME, user_id, suggestion_data) store.record_result( user_id, storage.TrainingResult( training.sentence, word_results=[ storage.WordResult(wc.word, wc.correct) for wc in training.word_correctness ], ), ) return jsonify(data={}) @app.route("/api/words", methods=["GET"]) def handle_words(): raw_words = [] if "suggestions" in request.args: word_list = _get_corpus().ordered_word_list settings = _get_settings() raw_words.extend( _get_suggestor().suggest( word_list, frozenset(settings.removed_words), count=10, ) ) for word in request.args.getlist("word"): raw_words.append(word) return jsonify(data=[_string_to_word(raw_word) for raw_word in raw_words])

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14a75c9a99d985c478a454429ef963da655e67d0

24,332

py

Python

hdltools/abshdl/highlvl.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

2

2020-02-28T13:02:39.000Z

2021-06-30T09:15:35.000Z

hdltools/abshdl/highlvl.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

1

2020-03-22T17:32:45.000Z

2020-03-23T15:43:39.000Z

hdltools/abshdl/highlvl.py

brunosmmm/hdltools

a98ca8c4d168740fa229c939a7b1f31ea73eec24

[ "MIT" ]

null

"""High-level coding using python syntax to build HDL structures.""" import inspect import ast import textwrap import sys import re from collections import deque from hdltools.abshdl import HDLObject from hdltools.abshdl.expr import HDLExpression from hdltools.abshdl.signal import HDLSignal, HDLSignalSlice from hdltools.abshdl.port import HDLModulePort from hdltools.abshdl.assign import HDLAssignment, HDLLazyValue from hdltools.abshdl.ifelse import HDLIfElse, HDLIfExp from hdltools.hdllib.patterns import ( ClockedBlock, ClockedRstBlock, ParallelBlock, SequentialBlock, ) from hdltools.hdllib.fsm import FSM from hdltools.abshdl.concat import HDLConcatenation from hdltools.abshdl.vector import HDLVectorDescriptor from hdltools.abshdl.macro import HDLMacroValue class PatternNotAllowedError(Exception): """Code pattern not allowed.""" pass class HDLPlaceholderSignal(HDLSignal): """Placeholder signal.""" def __init__(self, *args, **kwargs): """Initialize.""" super().__init__("other", *args, **kwargs) class HDLBlock(HDLObject, ast.NodeVisitor): """Build HDL blocks from python syntax.""" _CUSTOM_TYPE_MAPPING = {} _PATTERN_NAMES = [ "ClockedBlock", "ClockedRstBlock", "ParallelBlock", "SequentialBlock", "HDLBlock", ] def __init__(self, mod=None, symbols=None, **kwargs): """Initialize.""" super().__init__() self._init() # build internal signal scope self.signal_scope = {} if mod is not None: self._add_to_scope(**mod.get_signal_scope()) self._hdlmod = mod self._add_to_scope(**kwargs) if symbols is None: self._symbols = {} else: self._symbols = symbols self.fsms = {} def _init(self): """Initialize or re-initialize.""" self.scope = None self.current_scope = None self.block = None self.consts = None self._current_block = deque() self._current_block_kwargs = {} self._verify_signal_name = True def __call__(self, fn): """Decorate.""" def wrapper_BlockBuilder(*args, **kwargs): self._init() self._build(fn, fn_kwargs=kwargs) return self.get() return wrapper_BlockBuilder def apply_on_ast(self, tree): """Do procedures directly on AST.""" self.tree = tree self.visit(self.tree) def _signal_lookup(self, sig_name): """Signal lookup.""" if isinstance(sig_name, int): return sig_name if self.signal_scope is not None: if sig_name in self.signal_scope: if isinstance( self.signal_scope[sig_name], HDLPlaceholderSignal ): # go find actual signal # FIXME: should return a flag indicating placeholder return self._current_block_kwargs[sig_name] return self.signal_scope[sig_name] else: return None else: # search in globals if sig_name in globals(): return globals()[sig_name] else: return None def _build(self, target, fn_kwargs): for kwarg in fn_kwargs.values(): if not isinstance( kwarg, (HDLSignal, HDLSignalSlice, HDLModulePort, int) ): raise RuntimeError( "block kwargs must be of HDLSignal, HDLSignalSlice, " "HDLModulePort or integer type" ) self._current_block_kwargs = fn_kwargs src = inspect.getsource(target) self.tree = ast.parse(textwrap.dedent(src), mode="exec") self.visit(self.tree) def visit_FunctionDef(self, node): """Visit function declaration.""" # starting point is function declaration. Remove our own decorator. decorator_list = [ x for x in node.decorator_list if x.func.id != self.__class__.__name__ ] if len(decorator_list) == 0: raise RuntimeError( "must be used in conjunction with a HDL block" " decorator, like ClockedBlock, ParallelBlock" ) for decorator in decorator_list: try: decorator_class = getattr( sys.modules[__name__], decorator.func.id ) except: if decorator.func.id not in self._CUSTOM_TYPE_MAPPING: decorator_class = None else: decorator_class = self._CUSTOM_TYPE_MAPPING[ decorator.func.id ] if decorator.func.id == "SequentialBlock": # sequential block. args = [] for arg in decorator.args: _arg = self._signal_lookup(arg.id) if _arg is None: continue args.append(_arg) block = SequentialBlock.get(*args) if self.block is None: self.block = block self.scope = self.block.scope self.current_scope = self.scope else: self.scope.add(block) self.current_scope = block.scope elif decorator.func.id in ("ClockedBlock", "ClockedRstBlock"): # a clocked block. # rebuild args args = [] for arg in decorator.args: _arg = self._signal_lookup(arg.id) if _arg is None: continue args.append(_arg) if decorator.func.id == "ClockedBlock": block = ClockedBlock.get(*args) else: block = ClockedRstBlock.get(*args) if self.block is None: self.block = block self.scope = self.block.scope self.current_scope = self.scope else: self.scope.add(block) self.current_scope = block.scope elif decorator.func.id == "ParallelBlock": block = ParallelBlock.get() if self.block is None: self.block = block self.scope = self.block self.current_scope = self.scope else: self.block.add(block) self.current_scope = block elif decorator_class is not None and issubclass( decorator_class, FSM ): if node.name in self.fsms: raise PatternNotAllowedError( "FSM '{}' already declared.".format(node.name) ) # rebuild args args = [] for arg in decorator.args: _arg = self._signal_lookup(arg.id) if _arg is None: continue args.append(_arg) kwargs = {} for kw in decorator.keywords: if isinstance(kw.value, ast.Str): kwargs[kw.arg] = kw.value.s # add signal scope in the mix kwargs["_signal_scope"] = self.signal_scope kwargs["instance_name"] = node.name block, const, fsm = decorator_class.get(*args, **kwargs) # perform checks state_var = fsm.state_var_name for fsm_name, _fsm in self.fsms.items(): if _fsm.state_var_name.name == state_var.name: raise PatternNotAllowedError( "state variable '{}' re-utilized in FSM '{}'".format( node.name ) ) self.fsms[node.name] = fsm # go out of tree fsm = FSMBuilder(block, self.signal_scope) fsm._build(decorator_class) if self.block is None: self.block = block self.scope = self.block self.current_scope = self.scope else: self.block.add(block) self.current_scope = block if self.consts is None: self.consts = {c.name: c for c in const} else: self.consts.update({c.name: c for c in const}) # FIXME: this should probably come at the beginning if node.args.args is not None: for arg in node.args.args: if arg.arg not in self._current_block_kwargs: raise RuntimeError( f"while building block: missing argument '{arg.arg}'" ) # enforce legality of scope if node.args.args is not None: scope_add = { arg.arg: HDLPlaceholderSignal(arg.arg, size=1) for arg in node.args.args } self._add_to_scope(**scope_add) # for arg in node.args.args: # if arg.arg not in self.signal_scope: # raise NameError( # 'in block declaration: "{}",' # ' signal "{}" is not available' # " in current module scope".format(node.name, arg.arg) # ) # push function name to stack self._current_block.append((node.name, self._current_block_kwargs)) self.generic_visit(node) _, self._current_block_kwargs = self._current_block.pop() return node def visit_If(self, node): """Visit If statement.""" self.visit(node.test) ifelse = HDLIfElse(HDLExpression(ast.Expression(body=node.test))) self.current_scope.add([ifelse]) last_scope = self.current_scope # ordered visit, two scopes, so separe self.current_scope = ifelse.if_scope for _node in node.body: self.visit(_node) self.current_scope = ifelse.else_scope for _node in node.orelse: self.visit(_node) self.current_scope = last_scope return node def visit_Subscript(self, node): """Visit Subscripts.""" if isinstance(node.value, ast.Name): signal = self._signal_lookup(node.value.id) if signal is None: raise NameError( 'in "{}": signal "{}" not available in' " current scope".format( self._get_current_block(), node.value.id ) ) if isinstance(node.slice, ast.Index): index = self.visit(node.slice.value) vec = HDLVectorDescriptor(index, index) return HDLSignalSlice(signal, vec) elif isinstance(node.slice, ast.Slice): if isinstance(node.slice.upper, ast.Constant): upper = node.slice.upper.value else: upper = node.slice.upper if isinstance(node.slice.lower, ast.Constant): lower = node.slice.lower.value else: lower = node.slice.lower return HDLSignalSlice(signal, [upper, lower]) elif isinstance(node.slice, ast.Constant): if isinstance(node.slice.value, int): vec = HDLVectorDescriptor( node.slice.value, node.slice.value ) return HDLSignalSlice(signal, vec) else: raise TypeError( "type {} not supported".format( node.slice.value.__class__.__name__ ) ) else: raise TypeError( "type {} not supported".format( node.slice.__class__.__name__ ) ) else: raise TypeError( "type {} not supported".format(node.value.__class__.__name__) ) def visit_Constant(self, node): """Visit Constant.""" if isinstance(node.value, int): return HDLExpression(node.value) return node def visit_Name(self, node): """Visit Name.""" signal = self._signal_lookup(node.id) if signal is not None: if isinstance(signal, HDLSignalSlice): signal_name = signal.signal.name elif isinstance(signal, (HDLSignal, HDLModulePort)): signal_name = signal.name elif isinstance(signal, int): signal_name = signal else: raise RuntimeError("unknown error") else: signal_name = node.id if self._verify_signal_name: if signal is None: raise NameError("unknown name: {}".format(node.id)) node.id = signal_name return HDLExpression(signal_name) def visit_Assign(self, node): """Visit Assignments.""" self.generic_visit(node) assignments = [] # check assignees (targets) assignees = [] for target in node.targets: if isinstance(target, ast.Attribute): # attributes are not allowed, except for self access if target.value.id == "self": # bypass attribute access directly, # later on we can execute the block itself in python # if necessary target.id = target.attr else: raise PatternNotAllowedError( "Attribute access is not allowed in HDL blocks." ) if self._signal_lookup(target.id) is None: if self._signal_lookup("reg_" + target.id) is None: raise NameError( 'in "{}": signal "{}" not available in' " current scope".format( self._get_current_block(), target.id ) ) else: target.id = "reg_" + target.id assignees.append(target.id) # check value assigned if isinstance(node.value, ast.Name): if self._signal_lookup(node.value.id) is None: raise NameError( 'in "{}": signal "{}" not available in' " current scope".format( self._get_current_block(), node.value.id ) ) for assignee in assignees: assignments.append( HDLAssignment( self._signal_lookup(assignee), self._signal_lookup(node.value.id), ) ) elif isinstance(node.value, ast.Constant): for assignee in assignees: assignments.append( HDLAssignment( self._signal_lookup(assignee), HDLExpression(node.value.value), ) ) elif isinstance(node.value, (ast.List, ast.Tuple)): items = [self.visit(item) for item in node.value.elts] for assignee in assignees: assignments.append( HDLAssignment( self._signal_lookup(assignee), HDLConcatenation(*items[::-1]), ) ) elif isinstance(node.value, ast.Call): for assignee in assignees: args = [self._signal_lookup(arg.id) for arg in node.value.args] kwargs = { kw.arg: self._signal_lookup(kw.value.id) for kw in node.value.keywords } if node.value.func.id in self._symbols: fn = self._symbols[node.value.func.id] # generate ret = fn(*args, **kwargs) else: # dont do anything for now, lazy fn = node.value.func.id ret = ( HDLLazyValue( fn, fnargs=args, fnkwargs=kwargs, ), ) assignments.append( HDLAssignment(self._signal_lookup(assignee), ret) ) else: try: expr = self.visit(node.value) for assignee in assignees: assignments.append( HDLAssignment(self._signal_lookup(assignee), expr) ) except TypeError: # raise TypeError('type {} not supported'.format( # node.value.__class__.__name__)) raise # find out where to insert statement if len(assignments) > 0: self.current_scope.add(*assignments) def visit_Call(self, node): """Visit call.""" if ( isinstance(node.func, ast.Name) and node.func.id in self._PATTERN_NAMES ): return self._verify_signal_name = True if ( isinstance(node.func, ast.Name) and node.func.id not in self._symbols and node.func.id not in self._CUSTOM_TYPE_MAPPING ): # unless it is a callable object, in which case the name is here raise NameError( "unknown python function: '{}'".format(node.func.id) ) # FIXME: disallow starred args = [] for arg in node.args: if isinstance(arg, ast.Name): self.visit_Name(arg) args.append(self._signal_lookup(arg.id)) else: args.append(arg) kwargs = {} for kwarg in node.keywords: if isinstance(kwarg.value, ast.Name): self.visit_Name(kwarg.value) kwargs[kwarg.arg] = self._signal_lookup(kwarg.value.id) else: kwargs[kwarg.arg] = kwarg.value # self._verify_signal_name = False # call? # fn = self._symbols[node.func.id] # ret = fn(*args, **kwargs) # return ret def visit_IfExp(self, node): """Visit If expression.""" ifexp = HDLIfExp( self.visit(node.test), if_value=self.visit(node.body), else_value=self.visit(node.orelse), ) self.generic_visit(node) return ifexp def visit_UnaryOp(self, node): """Visit Unary operations.""" if isinstance(node.op, ast.Not): return HDLExpression(self.visit(node.operand)).bool_neg() elif isinstance(node.op, ast.Invert): return ~HDLExpression(self.visit(node.operand)) else: raise TypeError( "operator {} not supported".format(node.op.__class__.__name__) ) def visit_BinOp(self, node): """Visit Binary operations.""" self.generic_visit(node) return HDLExpression(ast.Expression(body=node)) def visit_Compare(self, node): """Visit Compare.""" self.generic_visit(node) if isinstance(node.left, ast.Name): # NOTE: Don't know why this is necessary anymore left_sig = self._signal_lookup(node.left.id) if left_sig is None: if self._signal_lookup(node.left.id) is not None: # rename node.left.id = "reg_" + str(node.left.id) else: raise NameError( 'in "{}": signal "{}" not available in' " current scope".format( self._get_current_block(), node.left.id ) ) if len(node.comparators) > 1: raise RuntimeError("only single comparison is allowed") (comp,) = node.comparators if isinstance(comp, ast.Name): comp_sig = self._signal_lookup(comp.id) if comp_sig is None: if self._signal_lookup("reg_" + str(comp.id)) is not None: # is state register, rename comp.id = "reg_" + str(comp.id) else: raise NameError( 'in "{}": signal "{}" not available in' " current scope".format( self._get_current_block(), comp.id ) ) return HDLExpression(node) def visit_Expr(self, node): """Visit Expression.""" self.generic_visit(node) return node def get(self): """Get block.""" return (self.block, self.consts, self.fsms) def _get_current_block(self): try: block, kwargs = self._current_block.pop() except: return None self._current_block.append((block, kwargs)) return block def _add_to_scope(self, **kwargs): """Add signals to internal scope.""" for name, arg in kwargs.items(): if isinstance(arg, (HDLSignal, HDLSignalSlice)): self.signal_scope[name] = arg @classmethod def add_custom_block(cls, block_class): """Add custom block class.""" cls._CUSTOM_TYPE_MAPPING[block_class.__name__] = block_class class FSMBuilder(HDLBlock): """Helper class that builds FSMs.""" def __init__(self, fsm_block, signal_scope, **kwargs): """Initialize.""" self._block = fsm_block super().__init__(**kwargs) self.signal_scope = signal_scope def _collect_states(self, cls): state_methods = {} for method_name, method in inspect.getmembers(cls): cls_name = cls.__name__ m = re.match( r"_{}__state_([a-zA-Z0-9_]+)".format(cls_name), method_name ) if m is not None: # found a state if inspect.ismethod(method) or inspect.isfunction(method): args = set(inspect.getfullargspec(method).args) input_list = args - set(["self"]) state_methods[m.group(1)] = (method, input_list) return state_methods def _build(self, target): self._class = target self._states = self._collect_states(target) super()._build(target, fn_kwargs={}) def visit_FunctionDef(self, node): """Visit function (state definition).""" cls_name = self._class.__name__ m = re.match(r"__state_([a-zA-Z0-9_]+)".format(cls_name), node.name) if m is not None: case_scope = self._block.find_by_tag( "__autogen_case_{}".format(m.group(1)) )[0] if case_scope is None: raise RuntimeError("unknown error, cant find case scope") else: self.current_scope = case_scope self.generic_visit(node) def visit_Str(self, node): """Visit strings and guess state changes.""" if self.current_scope is None: return None if node.s not in self._states: raise RuntimeError("invalid state: {}".format(node.s)) return HDLMacroValue(node.s) def visit_Name(self, node): """Visit a name.""" # why??? if node.id in ("self", "FSM"): return if node.id not in self.signal_scope: raise NameError("unknown signal in FSM: '{}'".format(node.id))

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0.156309

0

null

0

null

0

1

0

14a801449469355adc8a1c2e42661d5dd0d77a49

1,085

py

Python

tests.py

Dani-97/tbcnn

1e19e20099188dea42c97f09de39a0fadbcba92f

[ "MIT" ]

30

2019-01-26T09:19:17.000Z

2022-01-27T06:52:56.000Z

tests.py

Dani-97/tbcnn

1e19e20099188dea42c97f09de39a0fadbcba92f

[ "MIT" ]

9

2019-07-26T07:00:57.000Z

2021-05-11T10:08:40.000Z

tests.py

Dani-97/tbcnn

1e19e20099188dea42c97f09de39a0fadbcba92f

[ "MIT" ]

17

2019-08-20T09:46:00.000Z

2022-02-16T19:44:26.000Z

import numpy as np import train_variants a = np.arange(15) print('a =', a) print() # --------------------------------------- print('train_variants.create_sets(4, a, a)') imgs, labs = train_variants.create_sets(4, np.copy(a), np.copy(a)) print(imgs) assert len(imgs) == 4 assert len(labs) == 4 assert all([np.array_equal(i, l) for i, l in zip(imgs, labs)]) print() # --------------------------------------- print('train_variants.get_rotations(4, imgs, labs)') train, test = train_variants.get_rotations(4, imgs, labs) print(train) assert len(train) == 4 assert len(test) == 4 assert all([len(t) == 2 and (t[0].shape[0] == 12 or t[0].shape[0] == 11) and (t[1].shape[0] == 12 or t[1].shape[0] == 11) for t in train]) assert all([len(t) == 2 and (t[0].shape[0] == 4 or t[0].shape[0] == 3) and (t[1].shape[0] == 4 or t[1].shape[0] == 3) for t in test]) for i in range(4): assert np.intersect1d(train[i][0], test[i][0]).shape[0] == 0 and np.intersect1d(test[i][0], train[i][0]).shape[0] == 0 assert np.union1d(train[i][0], test[i][0]).shape[0] == 15 print() print('Success!')

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null

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null

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1

0

14a95440ee127e22ba060762d6955e5d4353d199

4,876

py

Python

Gems/PythonAssetBuilder/Code/Tests/asset_builder_example.py

aaarsene/o3de

37e3b0226958974defd14dd6d808e8557dcd7345

[ "Apache-2.0", "MIT" ]

1

2021-09-13T00:01:12.000Z

Gems/PythonAssetBuilder/Code/Tests/asset_builder_example.py

aaarsene/o3de

37e3b0226958974defd14dd6d808e8557dcd7345

[ "Apache-2.0", "MIT" ]

null

Gems/PythonAssetBuilder/Code/Tests/asset_builder_example.py

aaarsene/o3de

37e3b0226958974defd14dd6d808e8557dcd7345

[ "Apache-2.0", "MIT" ]

1

2021-07-20T11:07:25.000Z

""" Copyright (c) Contributors to the Open 3D Engine Project. For complete copyright and license terms please see the LICENSE at the root of this distribution. SPDX-License-Identifier: Apache-2.0 OR MIT """ # # Simple example asset builder that processes *.foo files # import azlmbr.math import azlmbr.asset.builder import os, shutil # the UUID must be unique amongst all the asset builders in Python or otherwise busIdString = '{E4DB381B-61A0-4729-ACD9-4C8BDD2D2282}' busId = azlmbr.math.Uuid_CreateString(busIdString, 0) assetTypeScript = azlmbr.math.Uuid_CreateString('{82557326-4AE3-416C-95D6-C70635AB7588}', 0) handler = None jobKeyPrefix = 'Foo Job Key' targetAssetFolder = 'foo_scripts' # creates a single job to compile for a 'pc' platform def on_create_jobs(args): request = args[0] # azlmbr.asset.builder.CreateJobsRequest response = azlmbr.asset.builder.CreateJobsResponse() # note: if the asset builder is going to handle more than one file pattern it might need to check out # the request.sourceFile to figure out what jobs need to be created jobDescriptorList = [] for platformInfo in request.enabledPlatforms: # for each enabled platform like 'pc' or 'ios' platformId = platformInfo.identifier # set up unique job key jobKey = '{} {}'.format(jobKeyPrefix, platformId) # create job descriptor jobDesc = azlmbr.asset.builder.JobDescriptor() jobDesc.jobKey = jobKey jobDesc.set_platform_identifier(platformId) jobDescriptorList.append(jobDesc) print ('created a job for {} with key {}'.format(platformId, jobKey)) response.createJobOutputs = jobDescriptorList response.result = azlmbr.asset.builder.CreateJobsResponse_ResultSuccess return response def get_target_name(sourceFullpath): lua_file = os.path.basename(sourceFullpath) lua_file = os.path.splitext(lua_file)[0] lua_file = lua_file + '.lua' return lua_file def copy_foo_file(srcFile, dstFile): try: dir_name = os.path.dirname(dstFile) if (os.path.exists(dir_name) is False): os.makedirs(dir_name) shutil.copyfile(srcFile, dstFile) return True except: return False # using the incoming 'request' find the type of job via 'jobKey' to determine what to do def on_process_job(args): request = args[0] # azlmbr.asset.builder.ProcessJobRequest response = azlmbr.asset.builder.ProcessJobResponse() # note: if possible to loop through incoming data a 'yeild' can be used to cooperatively # thread the processing of the assets so that shutdown and cancel can be handled if (request.jobDescription.jobKey.startswith(jobKeyPrefix)): targetFile = os.path.join(targetAssetFolder, get_target_name(request.fullPath)) dstFile = os.path.join(request.tempDirPath, targetFile) if (copy_foo_file(request.fullPath, dstFile)): response.outputProducts = [azlmbr.asset.builder.JobProduct(dstFile, assetTypeScript, 0)] response.resultCode = azlmbr.asset.builder.ProcessJobResponse_Success response.dependenciesHandled = True return response def on_shutdown(args): # note: user should attempt to close down any processing job if any running global handler if (handler is not None): handler.disconnect() handler = None def on_cancel_job(args): # note: user should attempt to close down any processing job if any running print('>>> FOO asset builder - on_cancel_job <<<') # register asset builder for source assets def register_asset_builder(): assetPattern = azlmbr.asset.builder.AssetBuilderPattern() assetPattern.pattern = '*.foo' assetPattern.type = azlmbr.asset.builder.AssetBuilderPattern_Wildcard builderDescriptor = azlmbr.asset.builder.AssetBuilderDesc() builderDescriptor.name = "Foo Asset Builder" builderDescriptor.patterns = [assetPattern] builderDescriptor.busId = busId builderDescriptor.version = 0 outcome = azlmbr.asset.builder.PythonAssetBuilderRequestBus(azlmbr.bus.Broadcast, 'RegisterAssetBuilder', builderDescriptor) if outcome.IsSuccess(): # created the asset builder handler to hook into the notification bus jobHandler = azlmbr.asset.builder.PythonBuilderNotificationBusHandler() jobHandler.connect(busId) jobHandler.add_callback('OnCreateJobsRequest', on_create_jobs) jobHandler.add_callback('OnProcessJobRequest', on_process_job) jobHandler.add_callback('OnShutdown', on_shutdown) jobHandler.add_callback('OnCancel', on_cancel_job) return jobHandler # note: the handler has to be retained since Python retains the object ref count # on_shutdown will clear the 'handler' to disconnect from the notification bus handler = register_asset_builder()

38.393701

155

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null

0

null

0

1

0

14a9916ca2cb6361754e4375a1b044b446b70a15

12,112

py

Python

autocert/api/bundle.py

Mozilla-GitHub-Standards/f085630706efa0d6c299c78ca54be3a7bc1bacc6818a5012c1eda6166401aebd

26ea24a991cef080e4bd633d719185184aabf100

[ "MIT" ]

null

autocert/api/bundle.py

Mozilla-GitHub-Standards/f085630706efa0d6c299c78ca54be3a7bc1bacc6818a5012c1eda6166401aebd

26ea24a991cef080e4bd633d719185184aabf100

[ "MIT" ]

null

autocert/api/bundle.py

Mozilla-GitHub-Standards/f085630706efa0d6c299c78ca54be3a7bc1bacc6818a5012c1eda6166401aebd

26ea24a991cef080e4bd633d719185184aabf100

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import copy import glob import time import tarfile from io import BytesIO from ruamel import yaml from datetime import datetime, timedelta from exceptions import AutocertError from utils.dictionary import merge, head, body, head_body, keys_ending from utils.yaml import yaml_format from utils.isinstance import * from utils import timestamp from utils import sift from utils import pki from config import CFG FILETYPE = { '-----BEGIN RSA PRIVATE KEY-----': '.key', '-----BEGIN CERTIFICATE REQUEST-----': '.csr', '-----BEGIN NEW CERTIFICATE REQUEST-----': '.csr', '-----BEGIN CERTIFICATE-----': '.crt', } class UnknownFileExtError(AutocertError): def __init__(self, content): message = f'unknown filetype for this content: {content}' super(UnknownFileExtError, self).__init__(message) class BundleFromObjError(AutocertError): def __init__(self, ex): message = 'bundle.from_obj error' super(BundleFromObjError, self).__init__(message) self.errors = [ex] class BundleLoadError(AutocertError): def __init__(self, bundle_path, bundle_name, ex): message = f'error loading {bundle_name}.tar.gz from {bundle_path}' super(BundleLoadError, self).__init__(message) self.errors = [ex] class VisitError(AutocertError): def __init__(self, obj): message = f'unknown type obj = {obj}' super(VisitError, self).__init__(message) def printit(obj): print(obj) return obj def simple(obj): if istuple(obj): key, value = obj if isinstance(value, str) and key[-3:] in ('crt', 'csr', 'key'): value = key[-3:].upper() return key, value return obj def abbrev(obj): if istuple(obj): key, value = obj if isinstance(value, str) and key[-3:] in ('crt', 'csr', 'key'): lines = value.split('\n') lines = lines[:2] + ['...'] + lines[-3:] value = '\n'.join(lines) return key, value return obj def visit(obj, func=printit): obj1 = None if isdict(obj): obj1 = {} for key, value in obj.items(): if isscalar(value): key1, value1 = visit((key, value), func=func) else: key1 = key value1 = visit(value, func=func) obj1[key1] = value1 elif islist(obj): obj1 = [] for item in obj: obj1.append(visit(item, func=func)) elif isscalar(obj) or istuple(obj) and len(obj) == 2: obj1 = func(obj) elif isinstance(obj, datetime): obj1 = func(obj) else: raise VisitError(obj) return obj1 def get_file_ext(content): for head, ext in FILETYPE.items(): if content.startswith(head): return ext return '.yml' def tarinfo(name, content): ext = get_file_ext(content) if name != 'README' else '' info = tarfile.TarInfo(name + ext) info.mtime = time.time() info.size = len(content) return info class BundleProperties(type): ''' Bundle properties properties on classmethods https://stackoverflow.com/a/47334224 ''' zero = timedelta(0) timestamp = timestamp.utcnow() bundle_path = str(CFG.bundle.path) readme = open(os.path.dirname(os.path.abspath(__file__)) + '/README.tarfile').read() @property def files(cls): return glob.glob(cls.bundle_path + '/*.tar.gz') @property def names(cls): def get_bundle_name(bundle_file): ext = '.tar.gz' if bundle_file.startswith(cls.bundle_path) and bundle_file.endswith(ext): return os.path.basename(bundle_file)[0:-len(ext)] return [get_bundle_name(bundle_file) for bundle_file in cls.files] def bundles(cls, bundle_name_pns, within=None, expired=False): bundles = [] if isint(within): within = timedelta(within) for bundle_name in sorted(sift.fnmatches(cls.names, bundle_name_pns)): bundle = Bundle.from_disk(bundle_name, bundle_path=cls.bundle_path) if bundle.sans: bundle.sans = sorted(bundle.sans) if within: delta = bundle.expiry - cls.timestamp if cls.zero < delta and delta < within: bundles += [bundle] elif expired: if bundle.expiry < cls.timestamp: bundles += [bundle] elif bundle.expiry > cls.timestamp: bundles += [bundle] return bundles class Bundle(object, metaclass=BundleProperties): ''' Bundle class ''' def __init__(self, common_name, modhash, key, csr, crt, bug, sans=None, expiry=None, authority=None, destinations=None, timestamp=None): if authority: assert isinstance(authority, dict) self.common_name = common_name self.modhash = modhash self.key = key self.csr = csr self.crt = crt self.bug = bug self.sans = sans self.expiry = expiry self.authority = authority self.destinations = destinations if destinations else {} self.timestamp = timestamp if timestamp else Bundle.timestamp def __repr__(self): return yaml_format(self.to_obj()) def __eq__(self, bundle): return ( self.common_name == bundle.common_name and self.modhash == bundle.modhash and self.key == bundle.key and self.csr == bundle.csr and self.crt == bundle.crt and self.bug == bundle.bug and self.sans == bundle.sans and self.expiry == bundle.expiry and self.authority == bundle.authority and self.destinations == bundle.destinations and self.timestamp == bundle.timestamp) @property def modhash_abbrev(self): return self.modhash[:8] @property def friendly_common_name(self): if self.common_name.startswith('*.'): return 'wildcard' + self.common_name[1:] return self.common_name @property def bundle_name(self): return self.friendly_common_name + '@' + self.modhash_abbrev @property def bundle_tar(self): return self.bundle_name + '.tar.gz' @property def serial(self): return pki.get_serial(self.crt) @property def sha1(self): return pki.get_sha1(self.crt) @property def sha2(self): return pki.get_sha2(self.crt) @property def files(self): files = {} for content in (self.key, self.csr, self.crt): if content: ext = get_file_ext(content) files[self.bundle_name + ext] = content return files def to_obj(self): obj = { self.bundle_name: { 'common_name': self.common_name, 'timestamp': self.timestamp, 'modhash': self.modhash, 'serial': self.serial, 'sha1': self.sha1, 'sha2': self.sha2, 'bug': self.bug, 'expiry': self.expiry, 'authority': self.authority, 'destinations': self.destinations, 'tardata': { self.bundle_tar: self.files }, } } if self.sans: obj[self.bundle_name]['sans'] = self.sans return obj def to_disk(self, bundle_path=None): if bundle_path == None: bundle_path = Bundle.bundle_path authority = copy.deepcopy(self.authority) authority.pop('key', None) authority.pop('csr', None) authority.pop('crt', None) obj = { self.bundle_name: { 'common_name': self.common_name, 'timestamp': self.timestamp, 'modhash': self.modhash, 'bug': self.bug, 'expiry': self.expiry, 'authority': self.authority, } } if self.sans: obj[self.bundle_name]['sans'] = self.sans yml = yaml_format(obj) os.makedirs(bundle_path, exist_ok=True) bundle_file = f'{bundle_path}/{self.bundle_name}.tar.gz' with tarfile.open(bundle_file, 'w:gz') as tar: tar.addfile(tarinfo('README', Bundle.readme), BytesIO(Bundle.readme.encode('utf-8'))) for content in (self.key, self.csr, self.crt, yml): if content: tar.addfile(tarinfo(self.bundle_name, content), BytesIO(content.encode('utf-8'))) return bundle_file @staticmethod def from_obj(obj): try: bundle_name, bundle_body = head_body(obj) common_name = bundle_body['common_name'] modhash = bundle_body['modhash'] expiry = bundle_body['expiry'] authority = bundle_body['authority'] bug = bundle_body.get('bug', None) sans = bundle_body.get('sans', None) destinations = bundle_body.get('destinations', None) timestamp = bundle_body['timestamp'] key, csr, crt = [None] * 3 tardata = bundle_body.pop('tardata', None) if tardata: files = tardata[bundle_name + '.tar.gz'] key = files[bundle_name + '.key'] csr = files[bundle_name + '.csr'] crt = files[bundle_name + '.crt'] except Exception as ex: import traceback traceback.print_exc() raise BundleFromObjError(ex) return common_name, modhash, key, csr, crt, bug, sans, expiry, authority, destinations, timestamp @classmethod def from_disk(cls, bundle_name, bundle_path=None): if bundle_path == None: bundle_path = Bundle.bundle_path bundle_file = f'{bundle_path}/{bundle_name}.tar.gz' key, csr, crt, obj, readme = [None] * 5 with tarfile.open(bundle_file, 'r:gz') as tar: for info in tar.getmembers(): info.mtime = time.time() if info.name.endswith('.key'): key = tar.extractfile(info.name).read().decode('utf-8') elif info.name.endswith('.csr'): csr = tar.extractfile(info.name).read().decode('utf-8') elif info.name.endswith('.crt'): crt = tar.extractfile(info.name).read().decode('utf-8') elif info.name.endswith('.yml'): yml = tar.extractfile(info.name).read().decode('utf-8') obj = yaml.safe_load(yml) elif info.name == 'README': readme = tar.extractfile(info.name).read().decode('utf-8') try: common_name, modhash, _, _, _, bug, sans, expiry, authority, destinations, timestamp = Bundle.from_obj(obj) except AutocertError as ae: raise BundleLoadError(bundle_path, bundle_name, ae) bundle = Bundle( common_name, modhash, key, csr, crt, bug, sans=sans, expiry=expiry, authority=authority, destinations=destinations, timestamp=timestamp) return bundle def transform(self, verbosity): json = self.to_obj() if verbosity == 0: json = {self.bundle_name: self.expiry} elif verbosity == 1: json[self.bundle_name].pop('destinations', None) json[self.bundle_name]['tardata'] = self.bundle_tar elif verbosity == 2: json = visit(json, func=simple) elif verbosity == 3: json = visit(json, func=abbrev) return json

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false

0

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0.012987

0

null

0

null

0

1

0

14acabd8cbd4b513d1eb59c9df9ca847e6ac8cba

9,994

py

Python

brewtils/log.py

scott-taubman/brewtils

3478e5ebd6383d7724286c9d0c7afac9ef5d7b45

[ "MIT" ]

7

2018-02-04T18:11:29.000Z

2021-10-03T18:47:08.000Z

brewtils/log.py

scott-taubman/brewtils

3478e5ebd6383d7724286c9d0c7afac9ef5d7b45

[ "MIT" ]

256

2018-02-04T18:07:50.000Z

2022-03-07T21:11:03.000Z

brewtils/log.py

scott-taubman/brewtils

3478e5ebd6383d7724286c9d0c7afac9ef5d7b45

[ "MIT" ]

7

2019-01-03T17:18:26.000Z

2021-12-15T16:55:18.000Z

# -*- coding: utf-8 -*- """Brewtils Logging Utilities This module streamlines loading logging configuration from Beergarden. Example: To use this just call ``configure_logging`` sometime before you initialize your Plugin object: .. code-block:: python from brewtils import configure_logging, get_connection_info, Plugin # Load BG connection info from environment and command line args connection_info = get_connection_info(sys.argv[1:]) configure_logging(system_name='systemX', **connection_info) plugin = Plugin( my_client, name='systemX, version='0.0.1', **connection_info ) plugin.run() """ import copy import json import os import re import string import warnings import logging.config import brewtils DEFAULT_LOGGERS = { "pika": {"level": "ERROR"}, "requests.packages.urllib3.connectionpool": {"level": "WARN"}, "yapconf": {"level": "WARN"}, } DEFAULT_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" DEFAULT_FORMATTERS = {"default": {"format": DEFAULT_FORMAT}} DEFAULT_HANDLERS = { "default": { "class": "logging.StreamHandler", "formatter": "default", "stream": "ext://sys.stdout", } } DEFAULT_ROOT = {"level": "INFO", "formatter": "default", "handlers": ["default"]} DEFAULT_PLUGIN_LOGGING_TEMPLATE = { "version": 1, "disable_existing_loggers": False, "loggers": DEFAULT_LOGGERS, "formatters": DEFAULT_FORMATTERS, "handlers": DEFAULT_HANDLERS, "root": DEFAULT_ROOT, } def default_config(level="INFO"): """Get a basic logging configuration with the given level""" config = copy.deepcopy(DEFAULT_PLUGIN_LOGGING_TEMPLATE) config["root"]["level"] = level return config def configure_logging( raw_config, namespace=None, system_name=None, system_version=None, instance_name=None, ): """Load and enable a logging configuration from Beergarden WARNING: This method will modify the current logging configuration. The configuration will be template substituted using the keyword arguments passed to this function. For example, a handler like this: .. code-block:: yaml handlers: file: backupCount: 5 class: "logging.handlers.RotatingFileHandler" encoding: utf8 formatter: default level: INFO maxBytes: 10485760 filename: "$system_name.log" Will result in logging to a file with the same name as the given system_name. This will also ensure that directories exist for any file-based handlers. Default behavior for the Python logging module is to not create directories that do not already exist, which would dramatically lower the utility of templating. Args: raw_config: Configuration to apply namespace: Used for configuration templating system_name: Used for configuration templating system_version: Used for configuration templating instance_name: Used for configuration templating Returns: None """ class ConfigParserTemplate(string.Template): """string.Template variant for ConfigParser-style interpolation So. This exists because we want to do template substitution on the logging configuration file. We want this to be consistent with how the logging module itself does substitution, and since we need this to work on Python 2 that means the ConfigParser flavor: %(variable)s The important parts here that differ from the normal string.Template are: - The delimiter ("%" instead of "$") - The "delimiter and a braced identifier" part of the pattern definition. This is needed to match %(variable)s instead of %{variable} like a normal template - The "id" and additional field "bid" in Python 3.7 are slightly different: r"(?a:[_a-z][_a-z0-9]*)" instead of r"[_a-z][_a-z0-9]*" Hopefully that's not a problem. """ delimiter = "%" pattern = r""" %(delim)s(?: (?P<escaped>%(delim)s) | # Escape sequence of two delimiters (?P<named>%(id)s) | # delimiter and a Python identifier $(?P<braced>%(id)s)$s | # delimiter and a braced identifier (?P<invalid>) # Other ill-formed delimiter exprs ) """ % { "delim": re.escape("%"), "id": r"[_a-z][_a-z0-9]*", } templated = ConfigParserTemplate(json.dumps(raw_config)).safe_substitute( namespace=namespace, system_name=system_name, system_version=system_version, instance_name=instance_name, ) logging_config = json.loads(templated) # Now make sure that directories for all file handlers exist for handler in logging_config["handlers"].values(): if "filename" in handler: dir_name = os.path.dirname(os.path.abspath(handler["filename"])) if not os.path.exists(dir_name): os.makedirs(dir_name) logging.config.dictConfig(logging_config) def find_log_file(): """Find the file name for the first file handler attached to the root logger""" for h in logging.getLogger().handlers: if hasattr(h, "baseFilename"): return h.baseFilename def read_log_file(log_file, start_line=None, end_line=None): """Read lines from a log file Args: log_file: The file to read from start_line: Starting line to read end_line: Ending line to read Returns: Lines read from the file """ with open(log_file, "r") as f: raw_logs = f.readlines() return "".join(raw_logs[start_line:end_line]) # DEPRECATED SUPPORTED_HANDLERS = ("stdout", "file", "logstash") def get_logging_config(system_name=None, **kwargs): """Retrieve a logging configuration from Beergarden Args: system_name: Name of the system to load **kwargs: Beergarden connection parameters Returns: dict: The logging configuration for the specified system """ warnings.warn( "This function is deprecated and will be removed in version " "4.0, please consider using 'EasyClient.get_logging_config' and " "'configure_logging' instead.", DeprecationWarning, stacklevel=2, ) config = brewtils.get_easy_client(**kwargs).get_logging_config(system_name) return convert_logging_config(config) def convert_logging_config(logging_config): """Transform a LoggingConfig object into a Python logging configuration Args: logging_config: Beergarden logging config Returns: dict: The logging configuration """ warnings.warn( "This function is deprecated and will be removed in version " "4.0, please consider using 'configure_logging' instead.", DeprecationWarning, stacklevel=2, ) config_to_return = copy.deepcopy(DEFAULT_PLUGIN_LOGGING_TEMPLATE) if logging_config.handlers: handlers = logging_config.handlers else: handlers = copy.deepcopy(DEFAULT_HANDLERS) config_to_return["handlers"] = handlers if logging_config.formatters: formatters = logging_config.formatters else: formatters = copy.deepcopy(DEFAULT_FORMATTERS) config_to_return["formatters"] = formatters config_to_return["root"] = { "level": logging_config.level, "handlers": list(config_to_return["handlers"]), } return config_to_return def setup_logger( bg_host, bg_port, system_name, ca_cert=None, client_cert=None, ssl_enabled=None ): """DEPRECATED: Set Python logging to use configuration from Beergarden API This method is deprecated - consider using :func:`configure_logging` This method will overwrite the current logging configuration. Args: bg_host (str): Beergarden host bg_port (int): Beergarden port system_name (str): Name of the system ca_cert (str): Path to CA certificate file client_cert (str): Path to client certificate file ssl_enabled (bool): Use SSL when connection to Beergarden Returns: None """ warnings.warn( "This function is deprecated and will be removed in version " "4.0, please consider using 'configure_logging' instead.", DeprecationWarning, stacklevel=2, ) config = get_python_logging_config( bg_host=bg_host, bg_port=bg_port, system_name=system_name, ca_cert=ca_cert, client_cert=client_cert, ssl_enabled=ssl_enabled, ) logging.config.dictConfig(config) def get_python_logging_config( bg_host, bg_port, system_name, ca_cert=None, client_cert=None, ssl_enabled=None ): """DEPRECATED: Get Beergarden's logging configuration This method is deprecated - consider using :func:`get_logging_config` Args: bg_host (str): Beergarden host bg_port (int): Beergarden port system_name (str): Name of the system ca_cert (str): Path to CA certificate file client_cert (str): Path to client certificate file ssl_enabled (bool): Use SSL when connection to Beergarden Returns: dict: The logging configuration for the specified system """ warnings.warn( "This function is deprecated and will be removed in version " "4.0, please consider using 'get_logging_config' instead.", DeprecationWarning, stacklevel=2, ) client = brewtils.get_easy_client( host=bg_host, port=bg_port, ssl_enabled=ssl_enabled, ca_cert=ca_cert, client_cert=client_cert, ) logging_config = client.get_logging_config(system_name=system_name) return convert_logging_config(logging_config)

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0

0.054795

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0.171233

0

null

0

null

0

1

0

14ae9afede54e0cea3815e41671291f32a9f68bc

216

py

Python

pty/t2.py

dxm447/ptychogpu

337d136b1b738ddbc3241144e49fa0129b7bcac1

[ "MIT" ]

1

2021-09-14T01:28:43.000Z

pty/t2.py

Rydeness/ptychogpu

337d136b1b738ddbc3241144e49fa0129b7bcac1

[ "MIT" ]

null

pty/t2.py

Rydeness/ptychogpu

337d136b1b738ddbc3241144e49fa0129b7bcac1

[ "MIT" ]

2

2021-09-14T01:28:42.000Z

2021-09-16T00:08:59.000Z

import numpy as np import acc_image_utils as acc import time t1 = time.time() size=128 shape = (size,size,size,size) n1 = np.zeros(shape, dtype=np.float32) n2 = acc.gpu_rot4D(n1,55) t2 = time.time() print(t2 - t1)

16.615385

38

0.712963

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null

0

null

0

1

0

14aeec12a4f4a1f6347cb92bf444494d07caa82d

228

py

Python

profile/results/strip_file.py

AI-Pranto/OpenMOC

7f6ce4797aec20ddd916981a56a4ba54ffda9a06

[ "MIT" ]

97

2015-01-02T02:13:45.000Z

2022-03-09T14:12:45.000Z

profile/results/strip_file.py

AI-Pranto/OpenMOC

7f6ce4797aec20ddd916981a56a4ba54ffda9a06

[ "MIT" ]

325

2015-01-07T17:43:14.000Z

2022-02-21T17:22:00.000Z

profile/results/strip_file.py

AI-Pranto/OpenMOC

7f6ce4797aec20ddd916981a56a4ba54ffda9a06

[ "MIT" ]

73

2015-01-17T19:11:58.000Z

2022-03-24T16:31:37.000Z

import os x = set() with open(os.environ['PBS_NODEFILE'], 'r') as fh: lines = fh.readlines() for line in lines: x.add(line) name = 'machine-' + xxxMACHINExxx with open(name, 'w') as fh: for xi in x: fh.write(xi)

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0.214912

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false

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0.1

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null

0

null

0

1

0

14af2d1910bc127c3b0e2359278be4a51c581a07

2,212

py

Python

pysimplestorageservice/core.py

poteralski/pysimplestorageservice

dfa2075fd43683fcc8326a877f14add0ba042b74

[ "Apache-2.0" ]

5

2016-04-17T20:28:23.000Z

2018-03-15T22:01:17.000Z

pysimplestorageservice/core.py

poteralski/pysimplestorageservice

dfa2075fd43683fcc8326a877f14add0ba042b74

[ "Apache-2.0" ]

null

pysimplestorageservice/core.py

poteralski/pysimplestorageservice

dfa2075fd43683fcc8326a877f14add0ba042b74

[ "Apache-2.0" ]

null

import requests from pysimplestorageservice.auth import AuthSigV4 class AmazonAWSManager(object): """ """ def __init__(self, access_key, secret_key): self.access_key = access_key self.secret_key = secret_key def get(self, prefix, filename, bucket): """ GET """ auth = AuthSigV4(access_key=self.access_key, secret_key=self.secret_key) headers = auth.get_headers(bucket, 'GET', canonical_uri=self.build_cannonical_uri(filename, prefix)) file_url = self.__build_endpoint(bucket, prefix, filename) r = requests.get(file_url, headers=headers) if r.status_code == 200: return r.content else: return r.status_code def get_file_list(self, bucket=None, prefix=None, max_keys=None): """ FILE LIST """ params = {"delimiter": "/"} if max_keys: params["max-keys"] = str(max_keys) if prefix: params["prefix"] = prefix auth = AuthSigV4(access_key=self.access_key, secret_key=self.secret_key) headers = auth.get_headers(bucket, 'GET', querystring=params) endpoint = self.__build_endpoint(bucket) r = requests.get(endpoint, headers=headers, params=params) if r.status_code == 200: return r.content else: return None def put(self, filename, file, prefix, bucket): auth = AuthSigV4(access_key=self.access_key, secret_key=self.secret_key) headers = auth.get_headers(bucket, 'PUT', payload=file, canonical_uri=self.build_cannonical_uri(filename, prefix)) endpoint = self.__build_endpoint(bucket, prefix, filename) r = requests.put(endpoint, data=file, headers=headers) return r def build_cannonical_uri(self, filename, prefix): return '/' + prefix + '/' + filename def __build_endpoint(self, bucket, prefix=None, filename=None): endpoint = "http://" + bucket + '.s3.amazonaws.com' if prefix and filename: return "/".join([endpoint, prefix, filename]) elif prefix: return "/".join([endpoint, prefix]) else: return endpoint

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5.159533

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0.057315

0.445701

0.41629

0.396682

0.254902

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0.264467

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0.022222

0.4

0

null

0

null

0

1

0

14b007def33bf66554be51f1a81715ea60bb4eda

1,834

py

Python

comix-localization/util/cam.py

snu-mllab/Co-Mixup

2a7681601ee972892435ae080494a4f0907e595a

[ "MIT" ]

86

2021-02-05T03:13:09.000Z

2022-03-29T03:10:50.000Z

comix-localization/util/cam.py

snu-mllab/Co-Mixup

2a7681601ee972892435ae080494a4f0907e595a

[ "MIT" ]

4

2021-06-01T13:07:06.000Z

2022-02-15T03:08:30.000Z

comix-localization/util/cam.py

snu-mllab/Co-Mixup

2a7681601ee972892435ae080494a4f0907e595a

[ "MIT" ]

7

2021-02-09T01:27:03.000Z

2021-09-01T14:07:40.000Z

# @ based on InfoCAm import torch import torch.nn as nn import torch.nn.functional as F class CAM(nn.Module): def __init__(self, model, feature, linear, factor, ksize, padding): super().__init__() self.model = model self.feature = feature self.linear = linear self.factor = factor self.ksize = ksize self.padding = padding def forward(self, input, target=None): """ if target is None: estimate target label by inferencing 'model(input)' and generate cam based on the estimated target label. else: generate cam based on the given target :param input: image # b3yx, torch.float32, 0~1 value, :param target: target label # b, torch.int64 :return: cam # b1yx, torch.float32, 0~1 value notes on comment: b # batch size k=1000 # num_class c=2048 # num of channel in the last feature y', x': the last feature spatial size """ score = self.model(input) # bk feature = self.feature(input) # bcy'x' weight = self.linear.weight.clone().detach() # kc channel = feature.shape[1] # c if target is None: _, target = score.topk(1, 1, True, True) # b1 target = target[:, 0] # b cam_weight = weight[target] # bc cam = cam_weight[:, :, None, None] * feature # bc11 * bcy'x' cam_filter = torch.ones(1, channel, self.ksize, self.ksize).to(input.device) cam = F.conv2d(cam, cam_filter, padding=self.padding) # upsample cam = F.interpolate(cam, size=[input.shape[3], input.shape[2]], mode="bicubic") # normalize cam = (cam - cam.min()) / (cam.max() - cam.min()) return cam

32.75

121

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0

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1,834

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0

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0.259259

0

null

0

null

0

1

0

14b1a89e48cc1b82f7462fdd10feb9e3312df735

39,383

py

Python

conference.py

ppjk1/conference-central

e240c96724d7d55f602dfc099eb20e91a5a16113

[ "Apache-2.0" ]

null

conference.py

ppjk1/conference-central

e240c96724d7d55f602dfc099eb20e91a5a16113

[ "Apache-2.0" ]

null

conference.py

ppjk1/conference-central

e240c96724d7d55f602dfc099eb20e91a5a16113

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ conference.py -- Udacity conference server-side Python App Engine API; uses Google Cloud Endpoints $Id: conference.py,v 1.25 2014/05/24 23:42:19 wesc Exp wesc $ created by wesc on 2014 apr 21 """ __author__ = 'wesc+api@google.com (Wesley Chun)' from datetime import datetime from functools import wraps import endpoints from protorpc import messages from protorpc import message_types from protorpc import remote from google.appengine.api import memcache from google.appengine.api import taskqueue from google.appengine.ext import ndb from models import ConflictException from models import StringMessage from models import BooleanMessage from models import Profile from models import ProfileMiniForm from models import ProfileForm from models import TeeShirtSize from models import Conference from models import ConferenceForm from models import ConferenceForms from models import ConferenceQueryForm from models import ConferenceQueryForms from models import Speaker from models import SpeakerForm from models import SpeakerForms from models import Session from models import SessionForm from models import SessionForms from models import SessionMiniHardForm from models import TypeOfSession from settings import WEB_CLIENT_ID from settings import ANDROID_CLIENT_ID from settings import IOS_CLIENT_ID from settings import ANDROID_AUDIENCE from utils import getUserId from utils import getSeconds from utils import getTimeString EMAIL_SCOPE = endpoints.EMAIL_SCOPE API_EXPLORER_CLIENT_ID = endpoints.API_EXPLORER_CLIENT_ID MEMCACHE_ANNOUNCEMENTS_KEY = "RECENT_ANNOUNCEMENTS" ANNOUNCEMENT_TPL = ('Last chance to attend! The following conferences ' 'are nearly sold out: %s') MEMCACHE_FEATURED_SPEAKER_KEY = "FEATURED_SPEAKER_" FEATURED_SPEAKER_TPL = ('Featured speaker: %s\nSessions: %s') # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - DEFAULTS = { "city": "Default City", "maxAttendees": 0, "seatsAvailable": 0, "topics": ["Default", "Topic"], } OPERATORS = { 'EQ': '=', 'GT': '>', 'GTEQ': '>=', 'LT': '<', 'LTEQ': '<=', 'NE': '!=' } FIELDS = { 'CITY': 'city', 'TOPIC': 'topics', 'MONTH': 'month', 'MAX_ATTENDEES': 'maxAttendees', } CONF_GET_REQUEST = endpoints.ResourceContainer( message_types.VoidMessage, websafeConferenceKey=messages.StringField(1), ) CONF_POST_REQUEST = endpoints.ResourceContainer( ConferenceForm, websafeConferenceKey=messages.StringField(1), ) CONF_BY_ORGANIZER_GET = endpoints.ResourceContainer( message_types.VoidMessage, organizer=messages.StringField(1), ) SESS_GET_REQUEST = endpoints.ResourceContainer( message_types.VoidMessage, websafeConferenceKey=messages.StringField(1), ) SESS_POST_REQUEST = endpoints.ResourceContainer( SessionForm, websafeConferenceKey=messages.StringField(1), ) SESS_TYPE_GET = endpoints.ResourceContainer( message_types.VoidMessage, websafeConferenceKey=messages.StringField(1), typeOfSession=messages.StringField(2), ) SESS_SPEAKER_GET = endpoints.ResourceContainer( message_types.VoidMessage, websafeSpeakerKey=messages.StringField(1), ) SESS_WISHLIST_POST = endpoints.ResourceContainer( message_types.VoidMessage, websafeSessionKey=messages.StringField(1), ) SESS_WISHLIST_GET = endpoints.ResourceContainer( message_types.VoidMessage, websafeConferenceKey=messages.StringField(1), ) SESS_HARD_QUERY_POST = endpoints.ResourceContainer( SessionMiniHardForm, websafeConferenceKey=messages.StringField(1), ) FEATURED_SPEAKER_GET = endpoints.ResourceContainer( message_types.VoidMessage, websafeConferenceKey=messages.StringField(1), ) # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - @endpoints.api(name='conference', version='v1', audiences=[ANDROID_AUDIENCE], allowed_client_ids=[WEB_CLIENT_ID, API_EXPLORER_CLIENT_ID, ANDROID_CLIENT_ID, IOS_CLIENT_ID], scopes=[EMAIL_SCOPE]) class ConferenceApi(remote.Service): """Conference API v0.1""" # - - - Profile objects - - - - - - - - - - - - - - - - - - - def _copyProfileToForm(self, prof): """Copy relevant fields from Profile to ProfileForm.""" # copy relevant fields from Profile to ProfileForm pf = ProfileForm() for field in pf.all_fields(): if hasattr(prof, field.name): # convert t-shirt string to Enum; just copy others if field.name == 'teeShirtSize': setattr(pf, field.name, getattr( TeeShirtSize, getattr(prof, field.name))) else: setattr(pf, field.name, getattr(prof, field.name)) pf.check_initialized() return pf def _getProfileFromUser(self): """Return user Profile from datastore, creating new one if non-existent.""" user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') # get Profile from datastore user_id = getUserId(user) p_key = ndb.Key(Profile, user_id) profile = p_key.get() # create new Profile if not there if not profile: profile = Profile( key=p_key, displayName=user.nickname(), mainEmail=user.email(), teeShirtSize=str(TeeShirtSize.NOT_SPECIFIED), ) profile.put() return profile def _doProfile(self, save_request=None): """Get user Profile and return to user, possibly updating it first.""" # get user Profile prof = self._getProfileFromUser() # if saveProfile(), process user-modifyable fields if save_request: for field in ('displayName', 'teeShirtSize'): if hasattr(save_request, field): val = getattr(save_request, field) if val: setattr(prof, field, str(val)) prof.put() # return ProfileForm return self._copyProfileToForm(prof) @endpoints.method(message_types.VoidMessage, ProfileForm, path='profile', http_method='GET', name='getProfile') def getProfile(self, request): """Return user profile.""" return self._doProfile() @endpoints.method(ProfileMiniForm, ProfileForm, path='profile', http_method='POST', name='saveProfile') def saveProfile(self, request): """Update & return user profile.""" return self._doProfile(request) # - - - Conference objects - - - - - - - - - - - - - - - - - def _copyConferenceToForm(self, conf, displayName): """Copy relevant fields from Conference to ConferenceForm.""" cf = ConferenceForm() for field in cf.all_fields(): if hasattr(conf, field.name): # convert Date to date string; just copy others if field.name.endswith('Date'): setattr(cf, field.name, str(getattr(conf, field.name))) else: setattr(cf, field.name, getattr(conf, field.name)) elif field.name == "websafeKey": setattr(cf, field.name, conf.key.urlsafe()) if displayName: setattr(cf, 'organizerDisplayName', displayName) cf.check_initialized() return cf def _createConferenceObject(self, request): """Create or update Conference object, returning ConferenceForm/request.""" user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') user_id = getUserId(user) if not request.name: raise endpoints.BadRequestException( "Conference 'name' field required") # copy ConferenceForm/ProtoRPC Message into dict data = {field.name: getattr(request, field.name) for field in request.all_fields()} del data['websafeKey'] del data['organizerDisplayName'] # add default values for those missing # (both data model & outbound Message) for df in DEFAULTS: if data[df] in (None, []): data[df] = DEFAULTS[df] setattr(request, df, DEFAULTS[df]) # convert dates from strings to Date objects; # set month based on start_date if data['startDate']: data['startDate'] = datetime.strptime( data['startDate'][:10], "%Y-%m-%d").date() data['month'] = data['startDate'].month else: data['month'] = 0 if data['endDate']: data['endDate'] = datetime.strptime( data['endDate'][:10], "%Y-%m-%d").date() # set seatsAvailable to be same as maxAttendees on creation if data["maxAttendees"] > 0: data["seatsAvailable"] = data["maxAttendees"] # generate Profile Key based on user ID and Conference # ID based on Profile key get Conference key from ID p_key = ndb.Key(Profile, user_id) c_id = Conference.allocate_ids(size=1, parent=p_key)[0] c_key = ndb.Key(Conference, c_id, parent=p_key) data['key'] = c_key data['organizerUserId'] = request.organizerUserId = user_id # create Conference, send email to organizer confirming # creation of Conference & return (modified) ConferenceForm Conference(**data).put() taskqueue.add(params={'email': user.email(), 'conferenceInfo': repr(request)}, url='/tasks/send_confirmation_email') return request @ndb.transactional() def _updateConferenceObject(self, request): user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') user_id = getUserId(user) # copy ConferenceForm/ProtoRPC Message into dict data = {field.name: getattr(request, field.name) for field in request.all_fields()} # update existing conference wsck = request.websafeConferenceKey conf = ndb.Key(urlsafe=wsck).get() # check that conference exists if not conf: raise endpoints.NotFoundException( 'No conference found with key: %s' % wsck) # check that user is owner if user_id != conf.organizerUserId: raise endpoints.ForbiddenException( 'Only the owner can update the conference.') # Not getting all the fields, so don't create a new object; just # copy relevant fields from ConferenceForm to Conference object for field in request.all_fields(): data = getattr(request, field.name) # only copy fields where we get data if data not in (None, []): # special handling for dates (convert string to Date) if field.name in ('startDate', 'endDate'): data = datetime.strptime(data, "%Y-%m-%d").date() if field.name == 'startDate': conf.month = data.month # write to Conference object setattr(conf, field.name, data) conf.put() prof = ndb.Key(Profile, user_id).get() return self._copyConferenceToForm(conf, getattr(prof, 'displayName')) @endpoints.method(ConferenceForm, ConferenceForm, path='conference', http_method='POST', name='createConference') def createConference(self, request): """Create new conference.""" return self._createConferenceObject(request) @endpoints.method(CONF_POST_REQUEST, ConferenceForm, path='conference/{websafeConferenceKey}', http_method='PUT', name='updateConference') def updateConference(self, request): """Update conference w/provided fields & return w/updated info.""" return self._updateConferenceObject(request) @endpoints.method(CONF_GET_REQUEST, ConferenceForm, path='conference/{websafeConferenceKey}', http_method='GET', name='getConference') def getConference(self, request): """Return requested conference (by websafeConferenceKey).""" wsck = request.websafeConferenceKey # get Conference object from request; bail if not found conf = ndb.Key(urlsafe=wsck).get() if not conf: raise endpoints.NotFoundException( 'No conference found with key: %s' % wsck) prof = conf.key.parent().get() # return ConferenceForm return self._copyConferenceToForm(conf, getattr(prof, 'displayName')) @endpoints.method(message_types.VoidMessage, ConferenceForms, path='getConferencesCreated', http_method='POST', name='getConferencesCreated') def getConferencesCreated(self, request): """Return conferences created by logged in user.""" user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') user_id = getUserId(user) # create ancestor query for all key matches for this user confs = Conference.query(ancestor=ndb.Key(Profile, user_id)) prof = ndb.Key(Profile, user_id).get() # return set of ConferenceForm objects per Conference return ConferenceForms( items=[self._copyConferenceToForm( conf, getattr(prof, 'displayName')) for conf in confs] ) @endpoints.method(CONF_BY_ORGANIZER_GET, ConferenceForms, path='getConferencesByOrganizer/{organizer}', name='getConferencesByOrganizer') def getConferencesByOrganizer(self, request): """Return conferences created by organizer.""" q = Profile.query() q = q.filter(Profile.displayName == request.organizer) prof = q.get() if not prof: raise endpoints.BadRequestException('Organizer not found.') q = Conference.query() q = q.filter(Conference.organizerUserId == prof.key.id()) confs = q.fetch() # return set of ConferenceForm objects per Conference return ConferenceForms( items=[self._copyConferenceToForm( conf, getattr(prof, 'displayName')) for conf in confs] ) def _getQuery(self, request): """Return formatted query from the submitted filters.""" q = Conference.query() inequality_filter, filters = self._formatFilters(request.filters) # If exists, sort on inequality filter first if not inequality_filter: q = q.order(Conference.name) else: q = q.order(ndb.GenericProperty(inequality_filter)) q = q.order(Conference.name) for filtr in filters: if filtr["field"] in ["month", "maxAttendees"]: filtr["value"] = int(filtr["value"]) formatted_query = ndb.query.FilterNode(filtr["field"], filtr["operator"], filtr["value"]) q = q.filter(formatted_query) return q def _formatFilters(self, filters): """Parse, check validity and format user supplied filters.""" formatted_filters = [] inequality_field = None for f in filters: filtr = {field.name: getattr(f, field.name) for field in f.all_fields()} try: filtr["field"] = FIELDS[filtr["field"]] filtr["operator"] = OPERATORS[filtr["operator"]] except KeyError: raise endpoints.BadRequestException( "Filter contains invalid field or operator.") # Every operation except "=" is an inequality if filtr["operator"] != "=": # check if inequality operation has been used in previous filters # disallow the filter if inequality was performed on a different field before # track the field on which the inequality operation is performed if inequality_field and inequality_field != filtr["field"]: raise endpoints.BadRequestException( "Inequality filter is allowed on only one field.") else: inequality_field = filtr["field"] formatted_filters.append(filtr) return (inequality_field, formatted_filters) @endpoints.method(ConferenceQueryForms, ConferenceForms, path='queryConferences', http_method='POST', name='queryConferences') def queryConferences(self, request): """Query for conferences.""" conferences = self._getQuery(request) # need to fetch organiser displayName from profiles # get all keys and use get_multi for speed organisers = [(ndb.Key(Profile, conf.organizerUserId)) for conf in conferences] profiles = ndb.get_multi(organisers) # put display names in a dict for easier fetching names = {} for profile in profiles: names[profile.key.id()] = profile.displayName # return individual ConferenceForm object per Conference return ConferenceForms( items=[self._copyConferenceToForm( conf, names[conf.organizerUserId]) for conf in conferences] ) # - - - Registration - - - - - - - - - - - - - - - - - - - - @ndb.transactional(xg=True) def _conferenceRegistration(self, request, reg=True): """Register or unregister user for selected conference.""" retval = None prof = self._getProfileFromUser() # check if conf exists given websafeConfKey # get conference; check that it exists wsck = request.websafeConferenceKey conf = ndb.Key(urlsafe=wsck).get() if not conf: raise endpoints.NotFoundException( 'No conference found with key: %s' % wsck) # register if reg: # check if user already registered otherwise add if wsck in prof.conferenceKeysToAttend: raise ConflictException( "You have already registered for this conference") # check if seats avail if conf.seatsAvailable <= 0: raise ConflictException( "There are no seats available.") # register user, take away one seat prof.conferenceKeysToAttend.append(wsck) conf.seatsAvailable -= 1 retval = True # unregister else: # check if user already registered if wsck in prof.conferenceKeysToAttend: # unregister user, add back one seat prof.conferenceKeysToAttend.remove(wsck) conf.seatsAvailable += 1 retval = True else: retval = False # write things back to the datastore & return prof.put() conf.put() return BooleanMessage(data=retval) @endpoints.method(message_types.VoidMessage, ConferenceForms, path='conferences/attending', http_method='GET', name='getConferencesToAttend') def getConferencesToAttend(self, request): """Get list of conferences that user has registered for.""" prof = self._getProfileFromUser() conf_keys = [ndb.Key(urlsafe=wsck) for wsck in prof.conferenceKeysToAttend] conferences = ndb.get_multi(conf_keys) # get organizers organisers = [ndb.Key(Profile, conf.organizerUserId) for conf in conferences] profiles = ndb.get_multi(organisers) # put display names in a dict for easier fetching names = {} for profile in profiles: names[profile.key.id()] = profile.displayName # return set of ConferenceForm objects per Conference return ConferenceForms(items=[ self._copyConferenceToForm(conf, names[conf.organizerUserId]) for conf in conferences] ) @endpoints.method(CONF_GET_REQUEST, BooleanMessage, path='conference/{websafeConferenceKey}', http_method='POST', name='registerForConference') def registerForConference(self, request): """Register user for selected conference.""" return self._conferenceRegistration(request) @endpoints.method(CONF_GET_REQUEST, BooleanMessage, path='conference/{websafeConferenceKey}', http_method='DELETE', name='unregisterFromConference') def unregisterFromConference(self, request): """Unregister user for selected conference.""" return self._conferenceRegistration(request, reg=False) # - - - Speakers - - - - - - - - - - - - - - - - - - - - def _copySpeakerToForm(self, speaker): """Copy fields from Speaker to SpeakerForm.""" sf = SpeakerForm() for field in sf.all_fields(): if hasattr(speaker, field.name): setattr(sf, field.name, getattr(speaker, field.name)) elif field.name == 'websafeKey': setattr(sf, field.name, speaker.key.urlsafe()) sf.check_initialized() return sf def _createSpeakerObject(self, request): """Create Speaker object, returning SpeakerForm request.""" # User must be authenticated to create Speaker user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') # 'name' is a required field if not request.name: raise endpoints.BadRequestException( "Speaker 'name' field required") # copy SessionForm/ProtoRPC Message into dict data = {field.name: str(getattr(request, field.name)) for field in request.all_fields()} del data['websafeKey'] # create Speaker Speaker(**data).put() return request @endpoints.method(SpeakerForm, SpeakerForm, path="speaker", http_method='POST', name='createSpeaker') def createSpeaker(self, request): """Create new speaker.""" return self._createSpeakerObject(request) @endpoints.method(message_types.VoidMessage, SpeakerForms, path='speakers', name='getSpeakers') def getSpeakers(self, request): """Get all speakers.""" speakers = Speaker.query().order(Speaker.name) # return individual SpeakerForm object per Speaker return SpeakerForms( speakers=[self._copySpeakerToForm(s) for s in speakers] ) # - - - Sessions - - - - - - - - - - - - - - - - - - - - - - def _copySessionToForm(self, sess): """Copy relevant fields from Session to SessionForm.""" sf = SessionForm() for field in sf.all_fields(): if hasattr(sess, field.name): # Convert date to string if field.name == 'date': setattr(sf, field.name, str(getattr(sess, field.name))) # Convert integer seconds to time string elif field.name == 'startTime' and getattr(sess, field.name) != None: setattr(sf, field.name, getTimeString(getattr(sess, field.name))) # Convert string to ENUM elif field.name == 'typeOfSession': setattr(sf, field.name, getattr( TypeOfSession, getattr(sess, field.name))) # Just copy the rest else: setattr(sf, field.name, getattr(sess, field.name)) elif field.name == 'websafeKey': setattr(sf, field.name, sess.key.urlsafe()) sf.check_initialized() return sf def _createSessionObject(self, request): """Create new session object, returning SessionForm request.""" # User must be authenticated to create Session user = endpoints.get_current_user() if not user: raise endpoints.UnauthorizedException('Authorization required.') # 'name' is a required field if not request.name: raise endpoints.BadRequestException( "Session 'name' field required.") # 'websafeConferenceKey' is a required field wsck = request.websafeConferenceKey if not wsck: raise endpoints.BadRequestException( 'websafeConferenceKey field required.') # Get conference and check that it exists conf = ndb.Key(urlsafe=wsck).get() if not conf: raise endpoints.NotFoundException( 'No conference found with key: %s' % (wsck,)) # check that user is owner user_id = getUserId(user) if user_id != conf.organizerUserId: raise endpoints.ForbiddenException( 'Only the conference owner can add sessions.') # copy SessionForm/ProtoRPC Message into dict data = {field.name: getattr(request, field.name) for field in request.all_fields()} del data['websafeKey'] # convert date to Date object and check against conference dates if data['date']: data['date'] = datetime.strptime( data['date'][:10], "%Y-%m-%d").date() if not conf.startDate <= data['date'] <= conf.endDate: raise endpoints.BadRequestException( 'Date does not fall within conference dates.') # convert startTime to integer seconds if data['startTime']: data['startTime'] = getSeconds(data['startTime']) # convert ENUM to string if data['typeOfSession']: data['typeOfSession'] = str(data['typeOfSession']) else: data['typeOfSession'] = str(TypeOfSession.NOT_SPECIFIED) # Generate Session Id and Key based on Conference key s_id = Session.allocate_ids(size=1, parent=conf.key)[0] s_key = ndb.Key(Session, s_id, parent=conf.key) data['key'] = s_key # Store session object Session(**data).put() # If speakers were set on the session, add task to check for # featured speaker for the conference and add to memcache. if data['speakerKeys']: taskqueue.add( params={'websafeConferenceKey': wsck}, url='/tasks/set_featured_speaker' ) return self._copySessionToForm(s_key.get()) @endpoints.method(SessionForm, SessionForm, path='conference/newsession', http_method='POST', name='createSession') def createSession(self, request): """Create new session.""" return self._createSessionObject(request) @endpoints.method(SESS_GET_REQUEST, SessionForms, path='conference/{websafeConferenceKey}/sessions', name='getConferenceSessions') def getConferenceSessions(self, request): """Return all sessions for requested conference.""" q = Session.query().filter( Session.websafeConferenceKey == request.websafeConferenceKey) q = q.order(Session.startTime) sessions = q.fetch() # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in sessions] ) @endpoints.method(SESS_TYPE_GET, SessionForms, path='conference/{websafeConferenceKey}/{typeOfSession}', name='getConferenceSessionsByType') def getConferenceSessionsByType(self, request): """Return all sessions of a given type for a given conference.""" q = Session.query().filter( Session.websafeConferenceKey == request.websafeConferenceKey, Session.typeOfSession == request.typeOfSession) q = q.order(Session.startTime) sessions = q.fetch() # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in sessions] ) @endpoints.method(SESS_SPEAKER_GET, SessionForms, path='sessions/{websafeSpeakerKey}', name='getSessionsBySpeaker') def getSessionsBySpeaker(self, request): """Return all sessions from all conferences featuring a given speaker.""" q = Session.query().filter( Session.speakerKeys == request.websafeSpeakerKey) q = q.order(Session.websafeConferenceKey) sessions = q.fetch() # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in sessions] ) @endpoints.method(SESS_GET_REQUEST, SessionForms, path='conference/{websafeConferenceKey}/sessions/popular', name='getSessionsPopular') def getSessionsPopular(self, request): """Returns top three most popular sessions for a given conference.""" # get all sessions for the conference q = Session.query().filter( Session.websafeConferenceKey == request.websafeConferenceKey) sessions = q.fetch() # Create a list of dicts that marry Session objects, their websafe keys # and a count of how frequently they appear in user wishlists. s_list = [] for s in sessions: websafeKey = s.key.urlsafe() frequency = Profile.query().\ filter(Profile.sessionWishlistKeys == websafeKey).\ count() if frequency > 0: s_list.append({ 'session': s, 'websafeKey': websafeKey, 'frequency': frequency }) # Sort the session list s_list.sort(key=lambda session: session['frequency'], reverse=True) # Find the top 3 sessions by their frequency rating if len(s_list) >= 3: top_three = s_list[:3] else: top_three = s_list # In this case, will be less than three # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s['session']) for s in top_three] ) @endpoints.method(SESS_HARD_QUERY_POST, SessionForms, path='conference/{websafeConferenceKey}/sessions/hard', http_method='POST', name='getSessionsHardQuery') def getSessionsHardQuery(self, request): """Return sessions not of certain type and before certain time.""" # Create filter node for websafeConferenceKey wsck = request.websafeConferenceKey confFilter = ndb.query.FilterNode('websafeConferenceKey', '=', wsck) # Convert the passed in time string to integer seconds and store # as a filter node object. beforeTime = getSeconds(request.beforeTime) timeFilter = ndb.query.FilterNode('startTime', '<', beforeTime) # We can't use a '!=', as this will result in too many inequality # filters due to the implementation (see README.md). # Instead, we add equality filters for every session type except the # one we're filtering out. type_filters = [] for session_type in TypeOfSession: if str(session_type) != request.notTypeOfSession: filter_node = ndb.query.FilterNode( 'typeOfSession', '=', str(session_type)) type_filters.append(filter_node) q = Session.query(ndb.OR( ndb.AND(confFilter, timeFilter, type_filters[0]), ndb.AND(confFilter, timeFilter, type_filters[1]), ndb.AND(confFilter, timeFilter, type_filters[2]), ndb.AND(confFilter, timeFilter, type_filters[3]), ndb.AND(confFilter, timeFilter, type_filters[4]), ndb.AND(confFilter, timeFilter, type_filters[5]))) sessions = q.fetch() # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in sessions] ) # - - - Session Wishlists - - - - - - - - - - - - - - - - - - def _addToWishlist(self, request): """Add a session to user's session wishlist.""" prof = self._getProfileFromUser() # Add session key to profile object wssk = request.websafeSessionKey if wssk not in prof.sessionWishlistKeys: prof.sessionWishlistKeys.append(wssk) prof.put() retval = True else: retval = False return BooleanMessage(data=retval) @endpoints.method(SESS_WISHLIST_POST, BooleanMessage, path='wishlist/add/{websafeSessionKey}', http_method='POST', name='addSessionToWishlist') def addSessionToWishlist(self, request): """Add a session to user's session wishlist.""" return self._addToWishlist(request) @endpoints.method(message_types.VoidMessage, SessionForms, path='wishlist/all', name='getWishlistAll') def getWishlistAll(self, request): """Gets all sessions in user's wishlist across all conferences.""" prof = self._getProfileFromUser() # Convert websafe keys to Session keys and get Sessions swl_keys = [ndb.Key(urlsafe=s) for s in prof.sessionWishlistKeys] sessions = ndb.get_multi(swl_keys) # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in sessions] ) @endpoints.method(SESS_WISHLIST_GET, SessionForms, path='wishlist/{websafeConferenceKey}/sessions', name='getSessionsInWishList') def getSessionsInWishlist(self, request): """Get sessions in user's wishlist for given conference.""" prof = self._getProfileFromUser() # Convert websafe keys to Session keys and get Sessions swl_keys = [ndb.Key(urlsafe=s) for s in prof.sessionWishlistKeys] sessions = ndb.get_multi(swl_keys) # Return only sessions matching requested conference conf_sessions = [] for s in sessions: if s.websafeConferenceKey == request.websafeConferenceKey: conf_sessions.append(s) # return individual SessionForm object per Session return SessionForms( sessions=[self._copySessionToForm(s) for s in conf_sessions] ) # - - - Featured Speaker - - - - - - - - - - - - - - - - - - - @staticmethod def _cacheFeaturedSpeaker(request): """Create featured speaker and sessions for a Conference; called when new session is created with speaker(s) set. """ wsck = request.get('websafeConferenceKey') # Get all sessions for conference. We're specifying an ancestor here # to ensure our query uses "strong consistency" and includes the # just-added session. sessions = ndb.gql("SELECT * " "FROM Session " "WHERE ANCESTOR IS :1 ", ndb.Key(urlsafe=wsck)).fetch() speakers_sessions = {} # Loop through sessions for s in sessions: if s.speakerKeys: # Loop through speakers for the session for s_key in s.speakerKeys: if s_key in speakers_sessions.keys(): speakers_sessions[s_key].append(s) else: speakers_sessions[s_key] = [s] featured = {'sessions': [], 'num_of_sessions': 0, 'speaker_key': ""} for s_key in speakers_sessions: if len(speakers_sessions[s_key]) > featured['num_of_sessions']: featured['sessions'] = speakers_sessions[s_key] featured['num_of_sessions'] = len(speakers_sessions[s_key]) featured['speaker_key'] = s_key if featured['num_of_sessions'] > 1: # If there is a featured speaker (more than one session in this # conference), then get speaker data, format message data and # set it in memcache. speaker = ndb.Key(urlsafe=featured['speaker_key']).get() featured_speaker = FEATURED_SPEAKER_TPL % ( speaker.name, ', '.join(s.name for s in featured['sessions']) ) # Memcache key consists of a text string plus a websafe Conference # key. This allows us to store featured speakers for multiple # conferences simultaneously. memcache.set( MEMCACHE_FEATURED_SPEAKER_KEY + wsck, featured_speaker) else: # Even if this speaker wasn't a featured speaker, # don't delete memcache entry, as there may be another featured # speaker already set for the conference. featured_speaker = "" return featured_speaker @endpoints.method(FEATURED_SPEAKER_GET, StringMessage, path='conference/{websafeConferenceKey}/featuredspeaker/get', name='getFeaturedSpeaker') def getFeaturedSpeaker(self, request): """Reaturn Featured Speaker and Sessions from memcache.""" wsck = request.websafeConferenceKey memcache_key = MEMCACHE_FEATURED_SPEAKER_KEY + wsck return StringMessage(data=memcache.get(memcache_key) or "") # - - - Announcements - - - - - - - - - - - - - - - - - - - - @staticmethod def _cacheAnnouncement(): """Create Announcement & assign to memcache; used by memcache cron job & putAnnouncement(). """ confs = Conference.query(ndb.AND( Conference.seatsAvailable <= 5, Conference.seatsAvailable > 0) ).fetch(projection=[Conference.name]) if confs: # If there are almost sold out conferences, # format announcement and set it in memcache announcement = ANNOUNCEMENT_TPL % ( ', '.join(conf.name for conf in confs)) memcache.set(MEMCACHE_ANNOUNCEMENTS_KEY, announcement) else: # If there are no sold out conferences, # delete the memcache announcements entry announcement = "" memcache.delete(MEMCACHE_ANNOUNCEMENTS_KEY) return announcement @endpoints.method(message_types.VoidMessage, StringMessage, path='conference/announcement/get', http_method='GET', name='getAnnouncement') def getAnnouncement(self, request): """Return Announcement from memcache.""" return StringMessage( data=memcache.get(MEMCACHE_ANNOUNCEMENTS_KEY) or "") api = endpoints.api_server([ConferenceApi]) # register API

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null

0

null

0

1

0

14b88e26055444d53d304f58f8961c840931c2ec

1,571

py

Python

Module_01/ex05/test.py

CristinaFdezBornay/PythonPiscine

143968c2e26f5ddddb5114f3bcdddd0b1f00d153

[ "MIT" ]

1

2021-11-17T10:04:30.000Z

Module_01/ex05/test.py

CristinaFdezBornay/PythonPiscine

143968c2e26f5ddddb5114f3bcdddd0b1f00d153

[ "MIT" ]

null

Module_01/ex05/test.py

CristinaFdezBornay/PythonPiscine

143968c2e26f5ddddb5114f3bcdddd0b1f00d153

[ "MIT" ]

null

from the_bank import Account, Bank if __name__ == "__main__": bank = Bank() print("==> [Bank] Adding not an account.") bank.add(1) print("\n==> [Bank] Adding a corrupted account.") william_john = Account( 'William John', zip='100-064', value=6460.0, ref='58ba2b9954cd278eda8a84147ca73c87', bref="lol", ) bank.add(william_john) bank.fix_account(william_john) bank.add(william_john) print("\n==> [Bank] Adding account with repeated name.") william_john = Account( 'William John', value=0.0, zip='03540' ) bank.add(william_john) print("\n==> [Bank] Adding a corrupted account.") smith_jane = Account( 'Smith Jane', zip='911-745', value=1000.0, ref='1044618427ff2782f0bbece0abd05f31' ) bank.add(smith_jane) print("\n==> [Transfer] Invalid because of the corrupted account") print('Failed') if bank.transfer('William John', 'Smith Jane', 1) is False else print('Success') bank.fix_account(smith_jane) bank.add(smith_jane) print("\n==> [Transfer] Invalid because of name not a string") print('Failed') if bank.transfer(123, 'Smith Jane', 10) is False else print('Success') print("\n==> [Transfer] Invalid because of the amount") print('Failed') if bank.transfer('William John', 'Smith Jane', 54500.0) is False else print('Success') print("\n==> [Transfer] Valid") print('Failed') if bank.transfer('William John', 'Smith Jane', 40.0) is False else print('Success')

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null

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null

0

1

0

14bab6f4282c5f5e761e6c042b014650a31eab5b

3,188

py

Python

latex_pdf.py

patent-python/patent-generator

3b5e5102b04eb13913a49a0c9c42922a80d645a9

[ "MIT" ]

109

2015-01-12T03:23:35.000Z

2022-02-08T22:32:52.000Z

latex_pdf.py

patent-python/patent-generator

3b5e5102b04eb13913a49a0c9c42922a80d645a9

[ "MIT" ]

2

2015-06-02T01:18:12.000Z

2021-05-17T11:45:32.000Z

latex_pdf.py

antiboredom/patent-generator

3b5e5102b04eb13913a49a0c9c42922a80d645a9

[ "MIT" ]

28

2015-01-05T19:45:44.000Z

2022-03-13T23:37:10.000Z

import os import sys import subprocess import shlex from machine import * class pdfCreator(): # declare and define all variables in the constructor def __init__(self,dn,fn,inv): self.invention = inv self.file = self.create_TeX_file(dn,fn) self.title = self.create_title() self.abstract = self.create_abstract() self.illustrations = self.create_illustrations() self.description = self.create_description() self.claims = self.create_claims() self.file_contents = self.create_LaTeX() # used to open a new folder and open appropriate file def create_TeX_file(self,dname,fname): if not os.path.exists(dname): os.makedirs(dname) return open(dname + "/" + fname + ".tex","a+") # assemble the full LaTeX text def create_LaTeX(self): text = "\\documentclass[english]{uspatent}\n\\begin{document}" text += self.title text += self.abstract text += self.illustrations text += self.description text += self.claims text += "\n\\end{document}" return text # assemble the title featuers def create_title(self): title = "\n\\title{" + self.invention.title + "}" title += "\n\\date{\\today}" title += "\n\\inventor{First Named Inventor}" title += "\n\\maketitle" return title # put the abstract together def create_abstract(self): abs = "\n\\patentSection{Abstract}" abs += "\n\\patentParagraph " + self.invention.abstract return abs # collect image descriptions def create_illustrations(self): ill = "\n\\patentSection{Brief Description of the Drawings}" for i in self.invention.illustrations: # seperate paragraph for each, maybe not necessary ill += "\n\\patentParagraph " + i return ill # put description together def create_description(self): desc = "\n\\patentSection{Detailed Description of the Preferred Embodiments}" desc += "\n\\patentParagraph " + self.invention.description return desc # assemble the claims together def create_claims(self): cla = "\n\\patentClaimsStart" for i,claim in enumerate(self.invention.claims): cla += "\n\\beginClaim{Claim" + str(i) + "}" + claim[2:] cla += "\n\\patentClaimsEnd" return cla # write the entire text to the file def write_LaTeX_to_file(self): # to fix paragraph formatting self.file.write(self.file_contents.replace("\n\n","\n\\patentParagraph ")) # function to compile the LaTeX formatting, not working yet #def compile_LaTeX(self): #process = subprocess.call("pdflatex test/test.tex", shell=True) if __name__ == '__main__': import sys text = open(sys.argv[1],"r").read().decode('ascii', errors='replace') dir_name = sys.argv[2] file_name = sys.argv[3] invention = Invention(text) pdf = pdfCreator(dir_name,file_name,invention) pdf.write_LaTeX_to_file() #pdf.compile_LaTeX()

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false

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0

0.365079

0

null

0

null

0

1

0

14bc8be324494c94b50dffe3b5b8590dee127599

786

py

Python

chapter07/test_wrappers.py

roiyeho/drl-book

1db635fd508e5b17ef8bfecbe49a79f55503a1f1

[ "MIT" ]

null

chapter07/test_wrappers.py

roiyeho/drl-book

1db635fd508e5b17ef8bfecbe49a79f55503a1f1

[ "MIT" ]

null

chapter07/test_wrappers.py

roiyeho/drl-book

1db635fd508e5b17ef8bfecbe49a79f55503a1f1

[ "MIT" ]

null

import matplotlib.pyplot as plt import gym from gym.wrappers import atari_preprocessing from atari_wrappers import FireOnResetWrapper, FrameStackWrapper env = gym.make('BreakoutNoFrameskip-v4') print('State space:', env.observation_space) print('Action space:', env.action_space) print(env.get_action_meanings()) #env.render() #input() obs = env.reset() plt.imshow(obs) plt.show() plt.clf() env = atari_preprocessing.AtariPreprocessing(env) obs = env.reset() plt.imshow(obs, cmap='gray') plt.show() plt.clf() env = FireOnResetWrapper(env) obs = env.reset() plt.imshow(obs, cmap='gray') plt.show() plt.clf() n_frames = 3 env = FrameStackWrapper(env, n_frames=n_frames) env.reset() for _ in range(n_frames): obs, _, _, _ = env.step(3) # Move left plt.imshow(obs) plt.show()

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null

0

null

0

1

0

14be54f29ab61e31d4790aa9f64ba8ebe0ee11d8

3,746

py

Python

QWeb/internal/config.py

kivipe/qweb

abf5881aa67412e4a243b13a59528a3c80aa2f52

[ "Apache-2.0" ]

33

2021-03-16T12:26:44.000Z

2022-03-30T17:44:57.000Z

QWeb/internal/config.py

kivipe/qweb

abf5881aa67412e4a243b13a59528a3c80aa2f52

[ "Apache-2.0" ]

24

2021-03-18T16:21:37.000Z

2022-03-24T17:52:14.000Z

QWeb/internal/config.py

kivipe/qweb

abf5881aa67412e4a243b13a59528a3c80aa2f52

[ "Apache-2.0" ]

13

2021-03-24T17:48:50.000Z

2022-02-25T03:22:01.000Z

# -*- coding: utf-8 -*- # -------------------------- # Copyright © 2014 - Qentinel Group. # # 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 copy class Config: DROPPED_DELIMITER_CHARS = " _-" def __init__(self, config_defaults): self._config_defaults = {} # Clean config_defaults key values before storage _config_defaults = {} for k, v in config_defaults.items(): _k = self._clean_string(k) _config_defaults[_k] = copy.deepcopy(v) self._config_defaults.update(_config_defaults) self.config = copy.deepcopy(self._config_defaults) def is_value(self, par): """ Return True if parameter exists. """ _par = self._clean_string(par) return _par in self.config def get_value(self, par): """ Return value(s) for given parameter, or None if parameter doesn't exist. """ _par = self._clean_string(par) config_value, _ = self.config.get(_par, (None, None)) return config_value def get_all_values(self): """ Return all configuration values in a dictionary. :return: configuration dict """ _all_configs = {} for k, v in self.config.items(): _all_configs[k] = copy.deepcopy(v[0]) return _all_configs def set_value(self, par, value): """ Set value for given parameter. Setter uses pre-defined adapter function to process value before storage. Adapter functions are set in config_defaults. Returns old value. """ _par = self._clean_string(par) if not self.is_value(_par): raise ValueError("Parameter {} doesn't exist".format(par)) old_val, adapter_func = self.config[_par] stored_value = adapter_func(value) if adapter_func else value self.config[_par] = (stored_value, adapter_func) return old_val def reset_value(self, par=None): """ Reset value(s) to original. """ if par: _par = self._clean_string(par) self.config[_par] = copy.deepcopy(self._config_defaults[_par]) # trigger adapter func for clearkey if "clearkey" in _par: val, adapter_func = self.config[_par] if adapter_func: adapter_func(str(val)) else: self.config = copy.deepcopy(self._config_defaults) # handle clearkey separately _par = self._clean_string("ClearKey") val, adapter_func = self.config[_par] self.set_value(_par, str(val)) def __getitem__(self, par): """ Allow accessing parameters in dictionary like syntax.""" _par = self._clean_string(par) config_value, _ = self.config[_par] return config_value def __repr__(self): return self.config def __str__(self): return "{}".format(self.config) @staticmethod def _clean_string(string_value): dropped_chars_dict = dict.fromkeys(Config.DROPPED_DELIMITER_CHARS) trans_table = str.maketrans(dropped_chars_dict) _string_value = string_value.lower().translate(trans_table) return _string_value

36.368932

100

0.630539

462

3,746

4.852814

0.318182

0.084746

0.046833

0.048171

0.176182

0.134701

0.104371

0.037467

0

0.003631

0.264816

3,746

102

101

36.72549

0.810094

0.318473

0

0.189655

0

0.01916

0

1

0.172414

false

0

0.017241

0.034483

0.362069

0

null

0

null

0

1

0

1ad20e50d6be74dfe95babdda8fc8f12f3b7f6f7

1,419

py

Python

survol/sources_types/enumerate_cgroup.py

rchateauneu/survol

ba66d3ec453b2d9dd3a8dabc6d53f71aa9ba8c78

[ "BSD-3-Clause" ]

9

2017-10-05T23:36:23.000Z

2021-08-09T15:40:03.000Z

survol/sources_types/enumerate_cgroup.py

rchateauneu/survol

ba66d3ec453b2d9dd3a8dabc6d53f71aa9ba8c78

[ "BSD-3-Clause" ]

21

2018-01-02T09:33:03.000Z

2018-08-27T11:09:52.000Z

survol/sources_types/enumerate_cgroup.py

rchateauneu/survol

ba66d3ec453b2d9dd3a8dabc6d53f71aa9ba8c78

[ "BSD-3-Clause" ]

4

2018-06-23T09:05:45.000Z

2021-01-22T15:36:50.000Z

#!/usr/bin/env python """ List of Linux cgroups """ import lib_util import lib_common from sources_types.Linux import cgroup as survol_cgroup # cat /proc/cgroups # #subsys_name hierarchy num_cgroups enabled # cpuset 0 1 1 # cpu 0 1 1 # cpuacct 0 1 1 # blkio 0 1 1 # memory 0 1 1 # devices 0 1 1 # freezer 0 1 1 # net_cls 0 1 1 # perf_event 0 1 1 # net_prio 0 1 1 # pids 0 1 1 Usable = lib_util.UsableLinux def Main(): cgiEnv = lib_common.ScriptEnvironment() grph = cgiEnv.GetGraph() fil_cg = open("/proc/cgroups") prop_cgroup = lib_common.MakeProp("cgroup") linHeader = fil_cg.readline() for lin_cg in fil_cg.readlines(): split_cg = lin_cg.split("\t") cgroup_name = split_cg[0] cgroup_node = survol_cgroup.MakeUri(cgroup_name) grph.add((cgroup_node, lib_common.MakeProp("Hierarchy"), lib_util.NodeLiteral(split_cg[1]))) grph.add((cgroup_node, lib_common.MakeProp("Num cgroups"), lib_util.NodeLiteral(split_cg[2]))) grph.add((cgroup_node, lib_common.MakeProp("Enabled"), lib_util.NodeLiteral(split_cg[3]))) grph.add((lib_common.nodeMachine, prop_cgroup, cgroup_node)) cgiEnv.OutCgiRdf("LAYOUT_RECT", [prop_cgroup]) if __name__ == '__main__': Main()

26.277778

102

0.608879

194

1,419

4.201031

0.371134

0.026994

0.040491

0.062577

0.217178

0.125153

0

0.036489

0.285412

1,419

53

103

26.773585

0.767258

0.293869

0

0.068437

0

1

0.047619

false

0

0.142857

0

0.190476

0

null

0

null

0

1

0

1ad23688a8884db208cdf807a9190c4367a75c50

47,490

py

Python

cogs/server.py

Glitchii/Troy

11070e0a6f191d53429e55047ee89ffdba5c5796

[ "MIT" ]

2

2022-03-26T00:45:19.000Z

2022-03-28T18:13:16.000Z

cogs/server.py

Glitchii/Troy

11070e0a6f191d53429e55047ee89ffdba5c5796

[ "MIT" ]

null

cogs/server.py

Glitchii/Troy

11070e0a6f191d53429e55047ee89ffdba5c5796

[ "MIT" ]

null

from io import BytesIO as IoBytesIO from colorthief import ColorThief from discord.ext.commands import command, Cog, group from re import search as re_search, sub as re_sub, compile as re_compile from PIL import Image from traceback import format_exc from os import remove as os_rem from datetime import datetime from discord.utils import escape_mentions from matplotlib.pyplot import pie as pltPie, axis as pltAxis, savefig as pltSavefig from discord import ( Embed, Colour, Status, File, Emoji, TextChannel, HTTPException, Member, ActivityType, Forbidden ) from imports import ( access_ids, colrs, botPrefixDB, lineNum, Cmds, loading_msg, paginate, aiohttp_request, tryInt, tstGuild, dblpy ) class Server(Cog): def __init__(self, bot): self.bot = bot @Cog.listener() async def on_ready(self): print("Module: Server loaded") @command(description="Check the newest server members") async def newmembers(self, ctx, *, count=5): try: if count > 25: return await ctx.send('Max count is 25') if not ctx.guild.chunked: await self.bot.request_offline_members(ctx.guild) embed = Embed(title=f'{count} Newest members (from the newest)', colour=Colour(0x36393f)) members = sorted(ctx.guild.members, key=lambda m: m.joined_at, reverse=True)[:count] for member in members: embed.add_field(name=f'{member}', value=f'> Joined on: {member.joined_at:%d of %B, %Y [%A at %I:%M%p}\n> Account made on: {member.created_at:%d of %B, %Y [%A]}', inline=False) await ctx.send(embed=embed) except Exception as e: return await ctx.send(e) @group(invoke_without_command=True, description="Shows server commands, Info, and more") async def server(self, ctx): await ctx.send(embed=Embed( color=colrs[4], title="All server commands:", description="\n".join(map(str, Cmds.server)))) @server.command(description="Change servers prefix") async def prefix(self, ctx, *, prefix=None): try: if prefix == '...': try: if not botPrefixDB.find_one({'_id': f'{ctx.guild.id}'}): return await ctx.send('That is the current prefix') botPrefixDB.find_one_and_delete({'_id': f'{ctx.guild.id}'}) return await ctx.send("Prefix reset to the default which is `...`") except: print(format_exc()) elif re_search("|\u200b", prefix): return await ctx.send("Please use a prefix that has no zero width characters so that everyone can be able to use it.") elif len(prefix) > 25: return await ctx.send("That prefix is quite long, limit is 25 characters.") elif " " in prefix: return await ctx.send("Prefix cannot include spaces") else: try: botPrefixDB.find_one_and_update({'_id': f'{ctx.guild.id}'}, {'$set': {'prefix': prefix, 'guildName': ctx.guild.name}}, upsert=True) except Exception as e: return await ctx.send(f"There was a a little problem while changing the prefix, please use the feedback command to send the error blow to my developer.\n```\n{e}\n```") return await ctx.send(embed=Embed( color=colrs[2], title="<:Mark:663230689860386846> Custom prefix created:", description=f"New Prefix: {botPrefixDB.find_one({'_id': f'{ctx.guild.id}'})['prefix']}\n**NOTE:** Bot'll nolonger respond to the default prefix in this server which is ...") .set_footer(text="So don't forget the prefix you set 👀. But if you do forget, ping me.")) except Exception as e: print(format_exc()) return await ctx(f"There was an error: {e}\nIf you don't know the problem please screenshot this together with your command and say `{ctx.prefix}feedback <upload your screenshot, or say what you want to say>` send the error to the bot owner.") @server.command(description="See the roles in the server") async def roles(self, ctx, sv: int = None): if sv is None: server = ctx.guild else: server = self.bot.get_guild(sv) try: roles = [str(a.mention) for a in server.roles] def func(lines, chars=2000): message, size = [], 0 for line in lines: if len(line) + size > chars: yield message message, size = [], 0 message.append(line) size += len(line) yield message for message in func(roles): try: embed = Embed(color=Colour.lighter_grey(), description=', '.join(message)) except: return await ctx.send(', '.join(message)) return await ctx.send(embed=embed) except HTTPException: await ctx.send("Error: This server probably has a high number or roles which aren't allowed on embeds") @server.command(description="See info about the server members") async def members(self, ctx, svID: int = None): server = self.bot.get_guild(svID) or ctx.guild pltPie(( sum(x.status.value == 'online' for x in server.members), sum(x.status.value == 'offline' for x in server.members), sum(x.status.value == 'dnd' for x in server.members), sum(x.status.value == 'idle' for x in server.members)), labels=None, colors=('#43b581', '#747f8d', '#f04747', '#faa61a'), shadow=False, startangle=140) pltAxis('equal') pltSavefig('memb_piechart', transparent=True) await ctx.send(file=File("memb_piechart.png"), embed=Embed(title="Members in the server") .add_field(name="Members:", value=F"<:online:666002136567513088>Online: {sum(not x.bot and x.status.value == 'online' for x in server.members)}\n<:Idle:664140822672834580>Idle: {sum(not x.bot and x.status.value == 'idle' for x in server.members)}\n<:dnd:664140822295347221>DND: {sum(not x.bot and x.status.value == 'dnd' for x in server.members)}\n<:offline:664140822823829514> Offline: {sum(not x.bot and x.status.value == 'offline' for x in server.members)}\n<:Sum:663243303478886461>Sum: {sum(not x.bot for x in server.members)}") .add_field(name="Bots:", value=F"<:online:666002136567513088>Online: {sum(x.bot and x.status.value == 'online' for x in server.members)}\n<:Idle:664140822672834580>Idle: {sum(x.bot and x.status.value == 'idle' for x in server.members)}\n<:dnd:664140822295347221>DND: {sum(x.bot and x.status.value == 'dnd' for x in server.members)}\n<:offline:664140822823829514> Offline: {sum(x.bot and x.status.value == 'offline' for x in server.members)}\n<:Sum:663243303478886461>Sum: {sum(x.bot for x in server.members)}") .add_field(name="Information on Pie chart", value="_ _", inline=False) .set_thumbnail(url=server.icon_url) .set_footer(text=f"Say \"{ctx.prefix}newmembers [number]\"to see the newest members in the server") .set_image(url="attachment://memb_piechart.png")) os_rem('memb_piechart.png') @server.command(name="invites", description="See servers active invites") async def serverInvites(self, ctx, svID: int = None): server = self.bot.get_guild(svID) or ctx.guild try: invites = {str(invite) for invite in await server.invites()} if not invites: return await ctx.send("There're currently no active invite links in this server") else: return await ctx.send(embed=Embed(colour=colrs[4]) .add_field(name=f"Total invite links: {len(invites)}", value=" <:link:663295066357497857> \n".join(map(str, invites))+" <:link:663295066357497857> ") .set_footer(text=f"Say \"{ctx.prefix}invite info <invite>\" for info about an invite")) except Forbidden: return await ctx.send("I can't show invites because I don't have `Manage server` permissions") @server.command(name="info", description="Use to see information about the server") async def serverInfo(self, ctx, severID: int = None): try: embed, loading, server = Embed(), await ctx.send(loading_msg("Gathering server information")), self.bot.get_guild(severID) or ctx.guild voiceC, textC, stageC, prefixes = server.voice_channels, server.text_channels, server.stage_channels, botPrefixDB.find_one({'_id': f'{ctx.guild.id}'}) if server.icon_url: try: color_thief = ColorThief(IoBytesIO(await aiohttp_request(str(server.icon_url_as(format='png')), 'read'))) color_thief.get_color(quality=1) palette = color_thief.get_palette(color_count=6) x, y, z = palette[4][0] if len(palette) >= 6 else palette[0][0], palette[4][1] if len( palette) >= 6 else palette[0][1], palette[4][2] if len(palette) >= 6 else palette[0][2] iconCol = Colour(int('0x%02x%02x%02x' % (x, y, z), 16)) embed.color = iconCol # img = Image.open(IoBytesIO(await aiohttp_request(str(server.icon_url_as(format='png')), 'read'))) # img = img.convert("RGB") # img = img.resize((1, 1), resample=0) # embed = Embed(colour=Colour.lighter_grey(), description=f"{server.name}") # embed.color = Colour(int('0x%02x%02x%02x' % img.getpixel((0, 0)), 16)) except: print(f"{format_exc()}\n - {lineNum(True)}") embed.set_thumbnail(url=server.icon_url).set_footer(text=f"Looking for my info? The command is '{ctx.prefix}info'") embed.add_field(name="Owner", value=server.owner, inline=True) embed.add_field(name="ID", value=server.id, inline=True) if type(server.region) != str: embed.add_field(name='Region', value=server.region.value.capitalize(), inline=True) embed.add_field(name='Name', value=server.name, inline=True) embed.add_field(name="Created on", value=f"{server.created_at:%d/%m/%Y} ({(ctx.message.created_at - server.created_at).days} days ago)", inline=True) embed.add_field(name="System channel", value=server.system_channel.mention if server.system_channel else None, inline=True) embed.add_field(name="Server description", value=server.description, inline=True) embed.add_field(name="Shard ID", value=server.shard_id, inline=True) embed.add_field(name="Server Icon", value=f"[Click Here]({server.icon_url})" if len(server.icon_url) >= 2 else None, inline=True) embed.add_field(name="Server features", value=(", ".join(server.features)).capitalize().replace('_', ' ') if server.features else None, inline=len(server.features) <= 5) embed.add_field(name="Server emotes", value=len(server.emojis), inline=True) embed.add_field(name="Roles", value=len(server.roles), inline=True) embed.add_field(name="Premium boosters", value=server.premium_subscription_count, inline=True) embed.add_field(name="Members", value=f"\ <:online:666002136567513088>{sum(x.status.value == 'online' and x.bot for x in server.members)} bots, {sum(x.status.value == 'online' and not x.bot for x in server.members)} {'person' if sum(x.status.value == 'online' and not x.bot for x in server.members) == 1 else 'people'}\n\ <:Idle:664140822672834580>{sum(x.status.value == 'idle' and x.bot for x in server.members)} bots, {sum(x.status.value == 'idle' and not x.bot for x in server.members)} {'person' if sum(x.status.value == 'idle' and not x.bot for x in server.members) == 1 else 'people'}\n\ <:dnd:664140822295347221>{sum(x.status.value == 'dnd' and x.bot for x in server.members)} bots, {sum(x.status.value == 'dnd' and not x.bot for x in server.members)} {'person' if sum(x.status.value == 'dnd' and not x.bot for x in server.members) == 1 else 'people'}\n\ <:offline:664140822823829514> {sum(x.status.value == 'offline' and x.bot for x in server.members)} bots, {sum(x.status.value == 'offline' and not x.bot for x in server.members)} {'person' if sum(x.status.value == 'offline' and not x.bot for x in server.members) == 1 else 'people'}\n\ <:Sum:663243303478886461>{server.member_count} in total", inline=True) embed.add_field(name="Channels", value=f"\ <:Textchannel:776521784307875891> {len(textC)}\n\ <:Voicechannel:776521783980326944> {len(voiceC)}\n\ <:Stagechannel:866906785842200636> {len(stageC)}\n\ {len(voiceC) + len(textC) + len(stageC)} Total channels", inline=True) embed.add_field(name="Nitro boosting level", value=server.premium_tier, inline=True) try: embed.add_field(name="Active invites", value=len(await server.invites()), inline=True) except: pass try: embed.set_image(url=server.banner_url) except: pass embed.add_field(name="Animated icon?", value="Yes" if server.is_icon_animated() else "No", inline=True) embed.add_field(name="My prefix", value=prefixes.get('prefix', '...') if prefixes else '...', inline=True) await ctx.send(embed=embed) except Exception as e: await ctx.send(f"Looks like I fell into a little error; {e}") print(format_exc(), lineNum(True)) finally: try: await loading.delete() except: print(format_exc(), lineNum(True)) @server.command(aliases=("emojis",), description="See custom emojis in the server") async def emotes(self, ctx, sv: int = None): if sv is None: server = ctx.guild else: server = self.bot.get_guild(sv) try: emotes = [str(x) for x in server.emojis] def func(lines, chars=2000): message, size = [], 0 for line in lines: if len(line) + size > chars: yield message message, size = [], 0 message.append(line) size += len(line) yield message for message in func(emotes): await ctx.send(embed=Embed( color=Colour.lighter_grey(), description=' '.join(message)) .set_footer(text=f"{len(server.emojis)} emojis in the server")) except: try: emotes = [str(x) for x in server.emojis] def func(lines, chars=2000): message, size = [], 0 for line in lines: if len(line) + size > chars: yield message message, size = [], 0 message.append(line) size += len(line) yield message for message in func(emotes): return await ctx.send(' '.join(message)) except Exception as e: await ctx.send(e) @server.command(hidden=True, name="list", description="See all the servers I'm in") async def serverList(self, ctx, more = False): if ctx.author.id not in access_ids: return if not more: return await ctx.send(embed=Embed(title="All servers I'm powering:", description="```\n" + ', '.join(map(str, self.bot.guilds)) + "```", colour=0x0af78a) .add_field(name=f"<:Server:663296208537911347> {len(self.bot.guilds)} Servers", value="[Remove yours](https://i.imgur.com/I4tUSRF.png)", inline=True) .add_field(name=f"<:Users:663295067280244776> {len(set(self.bot.get_all_members()))} users", value=f"[Invite me](https://discordapp.com/oauth2/authorize?client_id={self.bot.user.id}&scope=bot&permissions=1479928959)", inline=True)) clean, text = lambda t: re_sub(r'[\*_`]', '', str(t)), '' for i, guild in enumerate(sorted([x for x in self.bot.guilds], key=lambda g: g.me.joined_at)): text += ( f"{i} {clean(guild.name)} ({guild.id})\n" f"{''*9} Owner: {clean(guild.owner)} ({guild.owner.mention})\n" f"{''*9} Humans: {len([m for m in guild.members if not m.bot])}. Bots: {len([m for m in guild.members if m.bot])}\n") for text in paginate(text): await ctx.send(text) @group(invoke_without_command=True, aliases=("who",), description="See number of messages, avatar, permision, information about a server member and more") async def user(self, ctx): await ctx.send(embed=Embed( color=colrs[4], title="All user commands:", description="\n".join(x for x in Cmds.server if (x.startswith('user'))))) @user.command(aliases=("msg", "messages",), description="See how many messages you or a server member has sent in a channel") async def msgs(self, ctx, user: Member = None): try: user, msgs = user or ctx.author, 0 loading = await ctx.send(loading_msg(f'Counting messages from {escape_mentions(user.display_name)} in this channel. This could take long...')) async for elem in ctx.channel.history(limit=None): if elem.author.id == user.id: msgs += 1 await ctx.send(escape_mentions(("I have" if user == self.bot.user else f"{user.display_name} has") + f" sent {msgs} messages in {ctx.channel.mention} so far")) except: print(format_exc()) finally: await loading.delete() @user.command(aliases=("img", "pfp", "av",), description="See a server member's avatar image") async def avatar(self, ctx, user: Member = None): ignore = (access_ids[0], 663074487335649292) if not user: user = ctx.author if user.id in ignore and ctx.author.id not in ignore: return await ctx.send('https://media1.tenor.com/images/17a17ae6b93faf667b39af6d8fe34d68/tenor.gif') try: await ctx.send(embed=Embed(title=f"{user.display_name}'s avatar", description=f"Download [ [PNG]({user.avatar_url_as(format='png')}) | [WEBP]({user.avatar_url_as(format='webp')}) | [JPEG]({user.avatar_url_as(format='jpeg')}) | [JPG]({user.avatar_url_as(format='jpg')})" + (f" | [GIF]({user.avatar_url_as(format='gif')}) ]" if user.is_avatar_animated() else " ]")) .set_image(url=user.avatar_url) .set_footer(text=f"As requested by {ctx.author.display_name}")) except Exception as e: await ctx.send(f"There was an error:\n{e}") return print(f"User avatar command failed with error \n{format_exc()}\n - By {ctx.author.name} in the {ctx.guild.name} server") @user.command(name="info", aliases=("is", "about",), brief="Get information about a server member", description="Information includes when they joined the server, when they created their discord account and more") async def userInfo(self, ctx, member: Member = None): # sourcery no-metrics try: member, loading = member or ctx.author, await ctx.send(loading_msg("Getting information...")) col = member.color if member.avatar_url: try: img = Image.open(IoBytesIO(await aiohttp_request(str(member.avatar_url_as(format='png')), 'read'))) img = img.convert("RGB") img = img.resize((1, 1), resample=0) col = Colour(int('0x%02x%02x%02x' % img.getpixel((0, 0)), 16)) except: print(f"{format_exc()}\n - {lineNum(True)}") if str(member.color) == "#000000": col = member.status == 0xf04747 if Status.do_not_disturb else 0x43b581 if member.status == Status.online else 0xfaa61a if member.status == Status.idle else 0x747f8d else: if str(member.color) == "#000000": col = member.status == 0xf04747 if Status.do_not_disturb else 0x43b581 if member.status == Status.online else 0xfaa61a if member.status == Status.idle else 0x747f8d embed = Embed(color=col) embed.set_thumbnail(url=member.avatar_url) embed.set_footer(text=f"Requested by {ctx.author.name}", icon_url=ctx.author.avatar_url) embed.add_field(name="Name", value=f"{member.name}#{member.discriminator}", inline=True) embed.add_field(name="ID", value=member.id, inline=True) embed.add_field(name="Animated Avatar", value="Yes" if member.is_avatar_animated() else "No", inline=True) embed.add_field(name="Nickname", value=member.nick, inline=True) embed.add_field(name="Top Role", value=member.top_role.name if not member.top_role.is_default() else None, inline=True) embed.add_field(name="Active on mobile?", value="Yes" if member.is_on_mobile() else "No", inline=True) embed.add_field(name="Status", value=(f"<:online:666002136567513088>" if member.status==Status.online else f"<:offline:664140822823829514>" if member.status == Status.offline else f"<:dnd:664140822295347221>" if member.status==Status.do_not_disturb else f"<:Idle:664140822672834580>" if member.status==Status.idle else "") +member.status.value, inline=True) roles = [x for x in member.roles if not x.is_default()] try: if str(member.color) == "#000000": embed.add_field(name="Name color", value=f"Default", inline=True) else: emoji = await tstGuild().create_custom_emoji(name=f"color", image=await aiohttp_request(f'http://www.colorhexa.com/{str(member.color)[1:]}.png', 'read')) embed.add_field(name="Name color", value=f"{member.color} │ {emoji}", inline=True) except: if len(member.roles) >= 2: embed.add_field(name="Name color", value=f"{member.color}", inline=True) else: embed.add_field(name="Name color", value=f"Default", inline=True) embed.add_field(name="Avatar URL", value=f"[Click Here]({member.avatar_url})", inline=True) embed.add_field(name="Activity", value='No activity' if not member.activity else f"Playing {member.activity.name}" if member.activity.type == ActivityType.playing else f"Watching {member.activity.name}" if member.activity.type == ActivityType.watching else f"Listening to {member.activity.name}" if member.activity.type == ActivityType.listening else member.activity.name, inline=True) embed.add_field(name="Bot Account", value="Yes" if member.bot else "No", inline=True) embed.add_field(name="Joined Server on", value=f"{member.joined_at:%d/%m/%Y} ({(ctx.message.created_at - member.joined_at).days} days ago)", inline=True) embed.add_field(name="Joined Discord on", value=f"{member.created_at:%d/%m/%Y} ({(datetime.now() - member.created_at).days} days ago)", inline=True) if member.bot: try: botInfo = await dblpy.http.get_bot_info(member.id) if botInfo.get('prefix'): embed.add_field(name="Prefix:", value=botInfo['prefix'], inline=True) if botInfo.get('lib'): embed.add_field(name="Library:", value='Unknown' if botInfo['lib'].lower() == 'other' else botInfo['lib'], inline=True) if botInfo.get("owners"): if len(botInfo['owners']) > 1: try: embed.add_field(name="Developers:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer IDs:", value=", ".join(map(str, botInfo['owners'])), inline=True) print(format_exc()) else: try: embed.add_field(name="Developer:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer's ID:", value=", ".join(map(str, botInfo['owners'])), inline=True) if botInfo.get("server_count"): embed.add_field(name="Bot is in:", value=f"{botInfo['server_count']} servers", inline=True) if botInfo.get("tags"): embed.add_field(name="Categories", value=f', '.join(str(tag).lower() for tag in botInfo['tags']), inline=True) if botInfo.get("shortdesc"): embed.add_field(name="Short description", value=botInfo['shortdesc'], inline=True) except: pass embed.add_field( name=f"Roles ({len(roles)})", value=", ".join(role.mention for role in roles) if roles else 'No roles', inline=True, ) await ctx.send(embed=embed) except Exception as e: await ctx.send(embed=Embed( title="There was an error:", description=f"```\n{e}\n - {lineNum(True)}\n```\nPlease send that error to bot owner if you don't know what's wrong")) finally: await loading.delete() try: await emoji.delete() except: pass @user.command(name="perms", description="See yours or someones permissions in the server") async def userPerms(self, ctx, member: Member = None, server_ID: int = None): guild = self.bot.get_guild(server_ID) or ctx.guild if not member: member = ctx.author perms = member.guild_permissions return await ctx.send(embed=Embed(color=colrs[4]) .add_field(name="Kick Members", value=perms.kick_members, inline=True).add_field(name="Ban Members", value=perms.ban_members, inline=True) .add_field(name="Manage Channels", value=perms.manage_channels, inline=True).add_field(name="Manage Server", value=perms.manage_guild, inline=True) .add_field(name="Add Reactions", value=perms.add_reactions, inline=True).add_field(name="View Audit Log", value=perms.view_audit_log, inline=True) .add_field(name="Read Messages", value=perms.read_messages, inline=True).add_field(name="Send Messages", value=perms.send_messages, inline=True) .add_field(name="Manage Messages", value=perms.manage_messages, inline=True).add_field(name="Mention Everyone", value=perms.mention_everyone, inline=True) .add_field(name="Manage Nicknames", value=perms.manage_nicknames, inline=True).add_field(name="Manage Roles", value=perms.manage_roles, inline=True) .add_field(name="Manage Webhooks", value=perms.manage_webhooks, inline=True).add_field(name="Manage Emojis", value=perms.manage_emojis, inline=True) .add_field(name="Move Members", value=perms.move_members, inline=True).add_field(name="Mute Members", value=perms.mute_members, inline=True) .add_field(name="Read Message History", value=perms.read_message_history, inline=True).add_field(name="Send TTS Messages", value=perms.send_tts_messages, inline=True) .add_field(name="Change Nickname", value=perms.change_nickname, inline=True).add_field(name="Mange Nicknames", value=perms.manage_nicknames, inline=True) .add_field(name="Embed Links", value=perms.embed_links, inline=True).add_field(name="Mute members", value=perms.mute_members, inline=True) .set_author(name=f"{member.name}'s permissions in {guild.name}", icon_url=member.avatar_url) .set_footer(text=f"{member} is the server owner" if guild.owner == member else f"{member.name} is an administrator" if perms.administrator else " ")) @group(aliases=('emote',), invoke_without_command=True, description="Used to add an emoji to server, see information about it like who created it etc. You can also use it to steal an emoji to any of the servers I'm in, If no paremeters give it shows the emoji image") async def emoji(self, ctx, *, msg=None): if not msg: return await ctx.send(embed=Embed(color=colrs[4], title="All emoji commands:", description="\n".join(x for x in Cmds.server if (x.startswith('emoji'))))) def find_emoji(msg): msg, colors, name = re_sub("<a?:(.+):([0-9]+)>", "\\2", msg), ("1f3fb", "1f3fc", "1f3fd", "1f44c", "1f3fe", "1f3ff"), None for guild in self.bot.guilds: for emoji in guild.emojis: if msg.strip().lower() in emoji.name.lower(): url, id, name, guild_name = emoji.url, emoji.id, emoji.name + (".gif" if emoji.animated else ".png"), guild.name if msg.strip() in (str(emoji.id), emoji.name): url, name = emoji.url, emoji.name + (".gif" if emoji.animated else ".png") return name, url, emoji.id, guild.name if name: return name, url, id, guild_name # Check for a stock emoji before returning a failure codepoint_regex = re_compile(r'([\d#])?\\[xuU]0*([a-f\d]*)') unicode_raw = msg.encode('unicode-escape').decode('ascii') codepoints = codepoint_regex.findall(unicode_raw) if codepoints == []: return "", "", "", "" if len(codepoints) > 1 and codepoints[1][1] in colors: codepoints.pop(1) if codepoints[0][0] == '#': emoji_code = '23-20e3' elif codepoints[0][0] == '': codepoints = [x[1] for x in codepoints] emoji_code = '-'.join(codepoints) else: emoji_code = f"3{codepoints[0][0]}-{codepoints[0][1]}" url = f"https://raw.githubusercontent.com/astronautlevel2/twemoji/gh-pages/128x128/{emoji_code}.png" name = "emoji.png" return name, url, "N/A", "Official" emojis = msg.split() if msg.startswith('s '): emojis, get_guild = emojis[1:], True else: get_guild = False if len(emojis) > 5: return await ctx.send("Maximum of 5 emojis at a time.") images = [] for emoji in emojis: name, url, id, guild = find_emoji(emoji) if not url: await ctx.send(f"Could not find {emoji}. Skipping.") continue images.append((guild, str(id), url, File(IoBytesIO(await aiohttp_request(str(url), 'read')), name))) for (guild, id, url, file) in images: if ctx.channel.permissions_for(ctx.author).attach_files: if get_guild: await ctx.send(content=f'**ID:** {id}\n**Server:** {guild}', file=file) else: await ctx.send(file=file) else: if get_guild: await ctx.send(f'**ID:** {id}\n**Server:** {guild}\n**URL: {url}**') else: await ctx.send(url) file.close() @emoji.command(description="Copy an emoji from any of the servers bot is in.\nThe bot'll look through all the servers it is in to find an emoji with the given name, if found bot'll copy that emoji (name and image) and add it to this server.") async def copy(self, ctx, *, msg): try: loading, match = await ctx.send(loading_msg("Looking through servers for this emoji name")), None if not ctx.author.guild_permissions.manage_emojis: return await ctx.send("You must have `Manage Emojis` permission to copy emojis") for guild in self.bot.guilds: for emoji in guild.emojis: if emoji.name.lower() == msg.lower(): match = emoji if not match: return await ctx.send('Could not find emoji.') emoji = await ctx.guild.create_custom_emoji(name=match.name, image=(await aiohttp_request(f"{match.url}", 'read'))) await ctx.send(f"Successfully added the emoji {emoji.name} <{'a' if emoji.animated else ''}:{emoji.name}:{emoji.id}>!") except: print(format_exc()) await ctx.send(f"Fell into an error on line {lineNum()}, please send the following error to my developer\n {format_exc()}") finally: await loading.delete() @emoji.command(name="add", description="Add emoji to server.\nGive emoji name wich will be used to name the emoji and image url which will be used as emoji image when I create the emoji. If name name given, bot'll go for name in url. I must have manage_emojis permissions first to do this.") async def emojiAdd(self, ctx, url='', *, name=None): if ctx.author.guild_permissions.manage_emojis: if not url: return await ctx.send(f"You must say a link, Usage: `{ctx.prefix}emoji add <link to an image> <name> `") if not name: if '.' in url: name = url.split('.')[-2] name = name.split('/')[-1] elif " " in name: name = "".join(x.capitalize() for x in name.split()) try: response = await aiohttp_request(url, 'read') except: print(format_exc()) return await ctx.send(f"This url `{url}` you have provided is invalid or not well formed.") if (await aiohttp_request(url)).status == 404: return await ctx.send("The URL link you have provided leads to a 404 (not found) page.") emoji = await ctx.guild.create_custom_emoji(name=name, image=response) await ctx.send(f"Successfully added the emoji \"`{emoji.name}`\" <{'a' if emoji.animated else ''}:{emoji.name}:{emoji.id}>") else: await ctx.channel.send("You must have `Manage Emojis` permission to add an emoji") @emoji.command(name="del", description="To remove an emoji that matches the name you give for you.") async def delete(self, ctx, name): if not ctx.author.guild_permissions.manage_emojis: return await ctx.channel.send("You need '`Manage Emojis`' to use this ccommand.") if not ctx.guild.me.guild_permissions.manage_emojis: return await ctx.channel.send("I need '`Manage Emojis`' permission to delete an emoji.") if search := re_search(r'<:(\w+):\d{10,}>', name): name = search[1] else: name = name.replace(':', '') emotes, emote_length = [x for x in ctx.guild.emojis if x.name == name], 0 if not emotes: return await ctx.send(f"I couldn't find any custom emojis with the name `{name}` in this server.") for emote in emotes: try: await emote.delete() emote_length+=1 except: return await ctx.send('There was an error deleting') await ctx.send(f"Successfully deleted the emoji '`{emotes[0].name}`'" if emote_length == 1 else f"Successfully removed {emote_length} emojis.") @emoji.command(aliase="rename", description="To rename an emoji that matches the name you give.") async def ren(self, ctx, name, new_name): if not ctx.author.guild_permissions.manage_emojis: return await ctx.channel.send("You need '`Manage Emojis`' to use this ccommand.") if not ctx.guild.me.guild_permissions.manage_emojis: return await ctx.channel.send("I need '`Manage Emojis`' permission to rename an emoji.") if search := re_search(r'<:(\w+):\d{10,}>', name): name = search[1] else: name = name.replace(':', '') emotes, emote_length = [x for x in ctx.guild.emojis if x.name == name], 0 if not emotes: return await ctx.send(f"I couldn't find any custom emojis with the name `{name}` in this server.") for emote in emotes: try: await emote.edit(name=new_name) new_name, emote_length = self.bot.get_emoji(emote.id), emote_length+1 except: return await ctx.send('There was an error renaming') await ctx.send(f"Successfully renamed the emoji from '`{emotes[0].name}`'" if emote_length == 1 else f"Successfully renamed {emote_length} emojis.") @emoji.command(name="info", description="Shows information about emoji.\nShows information about emoji like who added it to the server, when it was added, or to get the it's image and more.") async def emojiInfo(self, ctx, emoji:Emoji): try: embed = Embed() embed.add_field(name="Name", value=emoji.name, inline=True) embed.add_field(name="ID", value=emoji.id, inline=True) if emoji.user is None: try: emoji2 = await ctx.guild.fetch_emoji(emoji.id) embed.add_field(name="Creator", value=emoji2.user, inline=True) except: pass else: embed.add_field(name="Creator", value=emoji.user, inline=True) embed.add_field(name="Animated?", value="Yes" if emoji.animated else "No", inline=True) embed.add_field(name="Created on", value=emoji.created_at.strftime("%d/%m/%y"), inline=True) embed.add_field(name="Requires colons?", value="Yes" if emoji.require_colons else "No", inline=True) embed.add_field(name="Emoji Icon", value=f"[Click Here]({emoji.url})", inline=True) embed.add_field(name="Server it's made in", value=emoji.guild, inline=True) embed.add_field(name="Managed by a Twitch integration?", value="Yes" if emoji.managed else "No", inline=True) if not emoji.roles: embed.add_field(name="Roles allowed to use it", value="All roles", inline=True) else: embed.add_field(name="Roles allowed to use it", value=', '.join(map(lambda r: r.mention, emoji.roles)), inline=True) try: embed.set_thumbnail(url=emoji.url) except: pass await ctx.send(embed=embed) except Exception as e: await ctx.send(f"There was an error:\n```\n{e}\n```\nPlease send the above error to my developer if you don't know what is wrong") @command(invoke_without_command=True, brief="Get mine or a certain bot's invite, or get info about an invite link", description="**Examples:**\n\t<<prefix>>invite\n\t<<prefix>>invite @MEE6\n\t<<prefix>>invite info <discord server invite>") async def invite(self, ctx, user=None, invite = None): if not user or user == self.bot.user: embed = Embed(color=colrs[1], title=None, description=f"<:link:663295066357497857> [Invite me](https://discord.com/oauth2/authorize?client_id={self.bot.user.id}&scope=bot&permissions=1479928959)\nBot is currently still in beta. If you have some feedback please let me know.\nYou can also get invite link to another bot and probably some info about it by pinging it or saying it's ID with the command eg. `{ctx.prefix}invite @{ctx.guild.me.display_name}`", colour=Colour.green()) embed.set_thumbnail(url="https://i.imgur.com/CNYbdaV.png") embed.set_footer(text=f"Looking for this server's invites instead? Say \"{ctx.prefix}server invites\"") await ctx.send(embed=embed) if user.lower() == "info": #inviteinfo if not invite: return await ctx.send('No Discord server invite provided') invite = await self.bot.fetch_invite(re_sub(r"(https?:\/\/)?((discord\.gg\/)|(.+\/invite\/))", "", re_sub('[<>]', '', invite))) if not invite: return await ctx.send(f'Invite not found, is it a discord server invite?') data = Embed(title="**Information about Invite:** %s" % invite.id) if invite.revoked: data.colour = Colour.red() if invite.revoked else Colour.green() data.add_field(name="Expires", value=f"{invite.max_age:%s} seconds" if invite.max_age else "Never") data.add_field(name="Temp membership", value="Yes" if invite.temporary else "No") data.add_field(name="Uses", value=invite.uses, inline=False) if invite.guild.name: data.add_field(name="Server", value="**Name:** " + invite.guild.name + "\n**ID:** %s" % invite.guild.id, inline=True) if invite.guild.icon_url: data.set_thumbnail(url=invite.guild.icon_url) if invite.channel.name: channel = "%s\n#%s" % (invite.channel.mention, invite.channel.name) if isinstance(invite.channel, TextChannel) else invite.channel.name data.add_field(name="Channel", value=f"**Name:** {channel}\n**ID:** {invite.channel.id}", inline=True) try: data.add_field(name="Total members", value=invite.approximate_member_count, inline=True) data.add_field(name="Active members", value=invite.approximate_presence_count, inline=True) except: pass if invite.inviter.name: data.set_footer( text="Creator: "+invite.inviter.name + '#' + invite.inviter.discriminator + " (%s)" % invite.inviter.id, icon_url=invite.inviter.avatar_url) try: return await ctx.send(embed=data) except: await ctx.send(content="I need the `Embed links` permission to send this") elif user.isdigit(): try: member, embed = self.bot.get_user(int(user)), Embed(color=Colour.green(), title="Bot invite") try: botInfo = await dblpy.http.get_bot_info(member.id) if botInfo.get("id") and botInfo.get("avatar"): embed.set_thumbnail(url=member.avatar_url) if botInfo.get("username"): embed.description = f"<:link:663295066357497857> [Invite {botInfo['username']}]({botInfo['invite'] if botInfo.get('invite') else f'https://discordapp.com/oauth2/authorize?client_id={user}&scope=bot&permissions=2146958839'})" else: embed.description = f"Click below to invite the bot with that ID\n<:link:663295066357497857> [Bot invite](https://discordapp.com/oauth2/authorize?client_id={user}&scope=bot&permissions=2146958839)" if botInfo.get('prefix'): embed.add_field(name="Prefix:", value=botInfo['prefix'], inline=True) if botInfo.get('lib'): embed.add_field(name="Library:", value='Unknown' if botInfo['lib'].lower() == 'other' else botInfo['lib'], inline=True) if botInfo.get("owners"): if len(botInfo['owners']) > 1: try: embed.add_field(name="Developers:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer IDs:", value=", ".join(map(str, botInfo['owners'])), inline=True) print(format_exc()) else: try: embed.add_field(name="Developer:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer's ID:", value=", ".join(map(str, botInfo['owners'])), inline=True) if botInfo.get("server_count"): embed.add_field(name="Bot is in:", value=f"{botInfo['server_count']} servers", inline=True) if botInfo.get("tags"): embed.add_field(name="Categories", value=f', '.join(str(tag).lower() for tag in botInfo['tags']), inline=True) embed.set_footer(text="If you meant to invite me say the command without an ID.") except:embed.description = f"Click below to invite the bot with that ID\n<:link:663295066357497857> [Bot invite](https://discordapp.com/oauth2/authorize?client_id={user}&scope=bot&permissions=2146958839)" await ctx.send(embed=embed) except AttributeError: await ctx.send(f"Error: Check if the ID is right or if the bot is in any server I'm in `{ctx.prefix}invite [bot ID OR ping a bot]`") elif '<@' and '>' in user: member, embed = self.bot.get_user(tryInt(user.strip(' <@!&> '))), Embed(color=Colour.green(), title="Bot invite") if not member: if r := ctx.guild.get_role(tryInt(user.strip(' <@!&> '))): if r.managed and len(r.members) == 1 and sum(m.bot for m in r.members):member = r.members[0] else: return await ctx.send(escape_mentions(f"\"{r.name}\" is neither a bot nor a bot role but a role")) else: return await ctx.send(f'Member not found, perhaps they\'re nolonger part of this server') if not member.bot: return await ctx.send(escape_mentions(f'{member.display_name} isn\'t a bot')) try: botInfo = await dblpy.http.get_bot_info(member.id) if botInfo.get("id") and botInfo.get("avatar"): embed.set_thumbnail(url=f"https://images.discordapp.net/avatars/{botInfo['id']}/{botInfo['avatar']}.png") if botInfo.get("username"): embed.description = f"<:link:663295066357497857> [Invite {botInfo['username']}]({botInfo['invite'] if botInfo.get('invite') else f'https://discordapp.com/oauth2/authorize?client_id={member.id}&scope=bot&permissions=2146958839'})" else: embed.description = f"Click below to invite {member.display_name}\n<:link:663295066357497857> [Bot invite](https://discordapp.com/oauth2/authorize?client_id={member.id}&scope=bot&permissions=2146958839)" if botInfo.get('prefix'): embed.add_field(name="Prefix:", value=botInfo['prefix'], inline=True) if botInfo.get('lib'): embed.add_field(name="Library:", value='Unknown' if (botInfo['lib'].lower() == 'other') else botInfo['lib'], inline=True) if botInfo.get("owners"): if len(botInfo['owners']) > 1: try: embed.add_field(name="Developers:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer IDs:", value=", ".join(map(str, botInfo['owners'])), inline=True) print(format_exc()) else: try: embed.add_field(name="Developer:", value=", ".join(str(self.bot.get_user(int(ID))) for ID in botInfo['owners']), inline=True) except: embed.add_field(name="Developer's ID:", value=", ".join(map(str, botInfo['owners'])), inline=True) if botInfo.get("server_count"): embed.add_field(name="Bot is in:", value=f"{botInfo['server_count']} servers", inline=True) if botInfo.get("tags"): embed.add_field(name="Categories", value=f', '.join(str(tag).lower() for tag in botInfo['tags']), inline=True) embed.set_footer(text="If you meant to invite me say the command without pinging a bot.") except: embed.description = f"Click below to invite {member.display_name}\n<:link:663295066357497857> [Bot invite](https://discordapp.com/oauth2/authorize?client_id={int(user.strip(' <@!> '))}&scope=bot&permissions=2146958839)" await ctx.send(embed=embed) else: await ctx.send(escape_mentions(f"Parameter \"{user}\" is not valid, please say `{ctx.prefix}help {ctx.command}` for help with the command.")) def setup(bot): bot.add_cog(Server(bot))

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0.02439

0

null

0

null

0

1

0

1ad4887310112ec9d93c98470773aaa026cdeeb0

14,015

py

Python

pystac/validation/schema_uri_map.py

schwehr/pystac

c2b7e0e8010931ec7dde3cc21b9f4955cd1f0706

[ "Apache-2.0" ]

null

pystac/validation/schema_uri_map.py

schwehr/pystac

c2b7e0e8010931ec7dde3cc21b9f4955cd1f0706

[ "Apache-2.0" ]

null

pystac/validation/schema_uri_map.py

schwehr/pystac

c2b7e0e8010931ec7dde3cc21b9f4955cd1f0706

[ "Apache-2.0" ]

null

from abc import ABC, abstractmethod from functools import lru_cache from pystac.serialization.identify import OldExtensionShortIDs, STACVersionID from typing import Any, Callable, Dict, List, Optional, Tuple import pystac from pystac.serialization import STACVersionRange from pystac.stac_object import STACObjectType class SchemaUriMap(ABC): """Abstract class defining schema URIs for STAC core objects and extensions.""" def __init__(self) -> None: pass @abstractmethod def get_object_schema_uri( self, object_type: STACObjectType, stac_version: str ) -> Optional[str]: """Get the schema URI for the given object type and stac version. Args: object_type : STAC object type. One of :class:`~pystac.STACObjectType` stac_version : The STAC version of the schema to return. Returns: str: The URI of the schema, or None if not found. """ pass class DefaultSchemaUriMap(SchemaUriMap): """Implementation of SchemaUriMap that uses schemas hosted by stacspec.org For STAC Versions 0.9.0 or earlier this will use the schemas hosted on the radiantearth/stac-spec GitHub repo. """ # BASE_URIS contains a list of tuples, the first element is a version range and the # second being the base URI for schemas for that range. The schema URI of a STAC # for a particular version uses the base URI associated with the version range which # contains it. If the version it outside of any VersionRange, there is no URI for # the schema. BASE_URIS: List[Tuple[STACVersionRange, Callable[[str], str]]] = [ ( STACVersionRange(min_version="1.0.0-beta.1"), lambda version: "https://schemas.stacspec.org/v{}".format(version), ), ( STACVersionRange(min_version="0.8.0", max_version="0.9.0"), lambda version: ( f"https://raw.githubusercontent.com/radiantearth/stac-spec/v{version}" ), ), ] # DEFAULT_SCHEMA_MAP contains a structure that matches 'core' or 'extension' schema # URIs based on the stac object type and the stac version, using a similar # technique as BASE_URIS. Uris are contained in a tuple whose first element # represents the URI of the latest version, so that a search through version # ranges is avoided if the STAC being validated # is the latest version. If it's a previous version, the stac_version that matches # the listed version range is used, or else the URI from the latest version is used # if there are no overrides for previous versions. DEFAULT_SCHEMA_MAP: Dict[str, Any] = { STACObjectType.CATALOG: ("catalog-spec/json-schema/catalog.json", None), STACObjectType.COLLECTION: ( "collection-spec/json-schema/collection.json", None, ), STACObjectType.ITEM: ("item-spec/json-schema/item.json", None), STACObjectType.ITEMCOLLECTION: ( None, [ STACVersionRange(min_version="v0.8.0-rc1", max_version="0.9.0"), "item-spec/json-schema/itemcollection.json", ], ), } @classmethod def _append_base_uri_if_needed(cls, uri: str, stac_version: str) -> Optional[str]: # Only append the base URI if it's not already an absolute URI if "://" not in uri: base_uri = None for version_range, f in cls.BASE_URIS: if version_range.contains(stac_version): base_uri = f(stac_version) return "{}/{}".format(base_uri, uri) # We don't have JSON schema validation for this version of PySTAC return None else: return uri def get_object_schema_uri( self, object_type: STACObjectType, stac_version: str ) -> Optional[str]: uri = None is_latest = stac_version == pystac.get_stac_version() if object_type not in self.DEFAULT_SCHEMA_MAP: raise KeyError("Unknown STAC object type {}".format(object_type)) uri = self.DEFAULT_SCHEMA_MAP[object_type][0] if not is_latest: if self.DEFAULT_SCHEMA_MAP[object_type][1]: for version_range, range_uri in self.DEFAULT_SCHEMA_MAP[object_type][1]: if version_range.contains(stac_version): uri = range_uri break return self._append_base_uri_if_needed(uri, stac_version) class OldExtensionSchemaUriMap: """Ties old extension IDs to schemas hosted by https://schemas.stacspec.org. For STAC Versions 0.9.0 or earlier this will use the schemas hosted on the radiantearth/stac-spec GitHub repo. """ # BASE_URIS contains a list of tuples, the first element is a version range and the # second being the base URI for schemas for that range. The schema URI of a STAC # for a particular version uses the base URI associated with the version range which # contains it. If the version it outside of any VersionRange, there is no URI for # the schema. @classmethod @lru_cache() def get_base_uris( cls, ) -> List[Tuple[STACVersionRange, Callable[[STACVersionID], str]]]: return [ ( STACVersionRange(min_version="1.0.0-beta.1"), lambda version: f"https://schemas.stacspec.org/v{version}", ), ( STACVersionRange(min_version="0.8.0", max_version="0.9.0"), lambda version: ( "https://raw.githubusercontent.com/" f"radiantearth/stac-spec/v{version}" ), ), ] # DEFAULT_SCHEMA_MAP contains a structure that matches extension schema URIs # based on the stac object type, extension ID and the stac version. # Uris are contained in a tuple whose first element represents the URI of the latest # version, so that a search through version ranges is avoided if the STAC being # validated is the latest version. If it's a previous version, the stac_version # that matches the listed version range is used, or else the URI from the latest # version is used if there are no overrides for previous versions. @classmethod @lru_cache() def get_schema_map(cls) -> Dict[str, Any]: return { OldExtensionShortIDs.CHECKSUM.value: ( { pystac.STACObjectType.CATALOG: ( "extensions/checksum/json-schema/schema.json" ), pystac.STACObjectType.COLLECTION: ( "extensions/checksum/json-schema/schema.json" ), pystac.STACObjectType.ITEM: ( "extensions/checksum/json-schema/schema.json" ), }, None, ), OldExtensionShortIDs.COLLECTION_ASSETS.value: ( { pystac.STACObjectType.COLLECTION: ( "extensions/collection-assets/json-schema/schema.json" ) }, None, ), OldExtensionShortIDs.DATACUBE.value: ( { pystac.STACObjectType.COLLECTION: ( "extensions/datacube/json-schema/schema.json" ), pystac.STACObjectType.ITEM: ( "extensions/datacube/json-schema/schema.json" ), }, [ ( STACVersionRange(min_version="0.5.0", max_version="0.9.0"), { pystac.STACObjectType.COLLECTION: None, pystac.STACObjectType.ITEM: None, }, ) ], ), OldExtensionShortIDs.EO.value: ( {pystac.STACObjectType.ITEM: "extensions/eo/json-schema/schema.json"}, None, ), OldExtensionShortIDs.ITEM_ASSETS.value: ( { pystac.STACObjectType.COLLECTION: ( "extensions/item-assets/json-schema/schema.json" ) }, None, ), OldExtensionShortIDs.LABEL.value: ( { pystac.STACObjectType.ITEM: ( "extensions/label/json-schema/schema.json" ) }, [ ( STACVersionRange(min_version="0.8.0-rc1", max_version="0.8.1"), {pystac.STACObjectType.ITEM: "extensions/label/schema.json"}, ) ], ), OldExtensionShortIDs.POINTCLOUD.value: ( # Invalid schema None, None, ), OldExtensionShortIDs.PROJECTION.value: ( { pystac.STACObjectType.ITEM: ( "extensions/projection/json-schema/schema.json" ) }, None, ), OldExtensionShortIDs.SAR.value: ( {pystac.STACObjectType.ITEM: "extensions/sar/json-schema/schema.json"}, None, ), OldExtensionShortIDs.SAT.value: ( {pystac.STACObjectType.ITEM: "extensions/sat/json-schema/schema.json"}, None, ), OldExtensionShortIDs.SCIENTIFIC.value: ( { pystac.STACObjectType.ITEM: ( "extensions/scientific/json-schema/schema.json" ), pystac.STACObjectType.COLLECTION: ( "extensions/scientific/json-schema/schema.json" ), }, None, ), OldExtensionShortIDs.SINGLE_FILE_STAC.value: ( { pystac.STACObjectType.CATALOG: ( "extensions/single-file-stac/json-schema/schema.json" ) }, None, ), OldExtensionShortIDs.TILED_ASSETS.value: ( { pystac.STACObjectType.CATALOG: ( "extensions/tiled-assets/json-schema/schema.json" ), pystac.STACObjectType.COLLECTION: ( "extensions/tiled-assets/json-schema/schema.json" ), pystac.STACObjectType.ITEM: ( "extensions/tiled-assets/json-schema/schema.json" ), }, None, ), OldExtensionShortIDs.TIMESTAMPS.value: ( { pystac.STACObjectType.ITEM: ( "extensions/timestamps/json-schema/schema.json" ) }, None, ), OldExtensionShortIDs.VERSION.value: ( { pystac.STACObjectType.ITEM: ( "extensions/version/json-schema/schema.json" ), pystac.STACObjectType.COLLECTION: ( "extensions/version/json-schema/schema.json" ), }, None, ), OldExtensionShortIDs.VIEW.value: ( {pystac.STACObjectType.ITEM: "extensions/view/json-schema/schema.json"}, None, ), # Removed or renamed extensions. "dtr": (None, None), # Invalid schema "asset": ( None, [ ( STACVersionRange(min_version="0.8.0-rc1", max_version="0.9.0"), { pystac.STACObjectType.COLLECTION: ( "extensions/asset/json-schema/schema.json" ) }, ) ], ), } @classmethod def _append_base_uri_if_needed( cls, uri: str, stac_version: STACVersionID ) -> Optional[str]: # Only append the base URI if it's not already an absolute URI if "://" not in uri: base_uri = None for version_range, f in cls.get_base_uris(): if version_range.contains(stac_version): base_uri = f(stac_version) return "{}/{}".format(base_uri, uri) # No JSON Schema for the old extension return None else: return uri @classmethod def get_extension_schema_uri( cls, extension_id: str, object_type: STACObjectType, stac_version: STACVersionID ) -> Optional[str]: uri = None is_latest = stac_version == pystac.get_stac_version() ext_map = cls.get_schema_map() if extension_id in ext_map: if ext_map[extension_id][0] and object_type in ext_map[extension_id][0]: uri = ext_map[extension_id][0][object_type] if not is_latest: if ext_map[extension_id][1]: for version_range, ext_uris in ext_map[extension_id][1]: if version_range.contains(stac_version): if object_type in ext_uris: uri = ext_uris[object_type] break if uri is None: return uri else: return cls._append_base_uri_if_needed(uri, stac_version)

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0.109541

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null

0

null

0

1

0

1ad5e7efb51c44e87712dae513359c781ede674e

4,339

py

Python

Python/mhd_utils.py

matthew-brett/diffusion_mri

a7ff1e2a7b3e43e419b8040a48dcda9c361ecf42

[ "MIT" ]

4

2017-04-13T16:29:49.000Z

2021-08-14T09:52:25.000Z

Python/mhd_utils.py

matthew-brett/diffusion_mri

a7ff1e2a7b3e43e419b8040a48dcda9c361ecf42

[ "MIT" ]

1

2019-03-28T11:29:39.000Z

2019-03-28T15:47:08.000Z

Python/mhd_utils.py

matthew-brett/diffusion_mri

a7ff1e2a7b3e43e419b8040a48dcda9c361ecf42

[ "MIT" ]

7

2016-04-18T11:03:45.000Z

2021-01-12T06:04:57.000Z

#!/usr/bin/env python #coding=utf-8 #====================================================================== #Program: Diffusion Weighted MRI Reconstruction #Module: $RCSfile: mhd_utils.py,v $ #Language: Python #Author: $Author: bjian $ #Date: $Date: 2008/10/27 05:55:55 $ #Version: $Revision: 1.1 $ #====================================================================== import os import numpy import array from utils import * def read_meta_header(filename): """Return a dictionary of meta data from meta header file""" fileIN = open(filename, "r") line = fileIN.readline() meta_dict = {} tag_set1 = ['ObjectType','NDims','DimSize','ElementType','ElementDataFile'] tag_set2 = ['BinaryData','BinaryDataByteOrderMSB','CompressedData','CompressedDataSize'] tag_set3 = ['Offset','CenterOfRotation','AnatomicalOrientation','ElementSpacing','TransformMatrix'] tag_set4 = ['Comment','SeriesDescription','AcquisitionDate','AcquisitionTime','StudyDate','StudyTime'] tag_set = [] tag_set.extend(tag_set1) tag_set.extend(tag_set2) tag_set.extend(tag_set3) tag_set.extend(tag_set4) tag_flag = [False]*len(tag_set) while line: tags = str.split(line,'=') #print tags[0] for i in range(len(tag_set)): tag = tag_set[i] if (str.strip(tags[0]) == tag) and (not tag_flag[i]): #print tags[1] meta_dict[tag] = str.strip(tags[1]) tag_flag[i] = True line = fileIN.readline() #print comment fileIN.close() return meta_dict def load_raw_data_with_mhd(filename): meta_dict = read_meta_header(filename) dim = int(meta_dict['NDims']) #print dim #print meta_dict['ElementType'] assert(meta_dict['ElementType']=='MET_FLOAT') arr = [int(i) for i in meta_dict['DimSize'].split()] #print arr volume = reduce(lambda x,y: x*y, arr[0:dim-1], 1) #print volume pwd = os.path.split(filename)[0] if pwd: data_file = pwd +'/' + meta_dict['ElementDataFile'] else: data_file = meta_dict['ElementDataFile'] #print data_file fid = open(data_file,'rb') binvalues = array.array('f') binvalues.read(fid, volume*arr[dim-1]) if is_little_endian(): # assume data in file is always big endian binvalues.byteswap() fid.close() data = numpy.array(binvalues, numpy.float) data = numpy.reshape(data, (arr[dim-1], volume)) return (data, meta_dict) def write_meta_header(filename, meta_dict): header = '' # do not use tags = meta_dict.keys() because the order of tags matters tags = ['ObjectType','NDims','BinaryData', 'BinaryDataByteOrderMSB','CompressedData','CompressedDataSize', 'TransformMatrix','Offset','CenterOfRotation', 'AnatomicalOrientation', 'ElementSpacing', 'DimSize', 'ElementType', 'ElementDataFile', 'Comment','SeriesDescription','AcquisitionDate','AcquisitionTime','StudyDate','StudyTime'] for tag in tags: if tag in meta_dict.keys(): header += '%s = %s\n'%(tag,meta_dict[tag]) f = open(filename,'w') f.write(header) f.close() def dump_raw_data(filename, data): """ Write the data into a raw format file. Big endian is always used. """ rawfile = open(filename,'wb') a = array.array('f') for o in data: a.fromlist(list(o)) if is_little_endian(): a.byteswap() a.tofile(rawfile) rawfile.close() def write_mhd_file(mhdfile, data, dsize): assert(mhdfile[-4:]=='.mhd') meta_dict = {} meta_dict['ObjectType'] = 'Image' meta_dict['BinaryData'] = 'True' meta_dict['BinaryDataByteOrderMSB'] = 'False' meta_dict['ElementType'] = 'MET_FLOAT' meta_dict['NDims'] = str(len(dsize)) meta_dict['DimSize'] = ' '.join([str(i) for i in dsize]) meta_dict['ElementDataFile'] = os.path.split(mhdfile)[1].replace('.mhd','.raw') write_meta_header(mhdfile, meta_dict) pwd = os.path.split(mhdfile)[0] if pwd: data_file = pwd +'/' + meta_dict['ElementDataFile'] else: data_file = meta_dict['ElementDataFile'] dump_raw_data(data_file, data)

33.376923

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null

0

1

0

1ad9b64d65098701b1bcba36c3d7d451c75d6db9

10,259

py

Python

src/support/gan_model.py

nipdep/STGAN

c72ba6cb9d23d33accc0cfa1958a2005db3ed490

[ "MIT" ]

null

src/support/gan_model.py

nipdep/STGAN

c72ba6cb9d23d33accc0cfa1958a2005db3ed490

[ "MIT" ]

null

src/support/gan_model.py

nipdep/STGAN

c72ba6cb9d23d33accc0cfa1958a2005db3ed490

[ "MIT" ]

null

# To add a new cell, type '# %%' # To add a new markdown cell, type '# %% [markdown]' # %% import time import random import tensorflow as tf import numpy as np from numpy import load from numpy import zeros from numpy import ones from numpy.random import randint from tensorflow.keras.optimizers import Adam from tensorflow.keras.initializers import RandomNormal from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Conv2D, Flatten, Dense, Conv2DTranspose, LeakyReLU, Activation, Dropout, BatchNormalization, ReLU, LeakyReLU, Concatenate from tensorflow.keras import losses from tensorflow.keras import metrics from matplotlib import pyplot from tensorflow.python.autograph.pyct import transformer # %% def define_encoder_block(layer_in, n_filters, batchnorm=True): init = RandomNormal(stddev=0.02) g = Conv2D(n_filters, (4, 4), strides=(2, 2), padding='same', kernel_initializer=init)(layer_in) if batchnorm: g = BatchNormalization()(g, training=True) g = LeakyReLU(alpha=0.2)(g) return g def define_decoder_block(layer_in, skip_in, n_filters, dropout=True): init = RandomNormal(stddev=0.02) g = Conv2DTranspose(n_filters, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(layer_in) g = BatchNormalization()(g, training=True) if dropout: g = Dropout(0.4)(g, training=True) g = Concatenate()([g, skip_in]) g = ReLU()(g) return g # %% def defing_generator(image_shape=(128, 128, 3)): init = RandomNormal(stddev=0.02) content_image = Input(shape=image_shape) style_image = Input(shape=image_shape) # stack content and style images stacked_layer = Concatenate()([content_image, style_image]) #encoder model e1 = define_encoder_block(stacked_layer, 64, batchnorm=False) e2 = define_encoder_block(e1, 128) e3 = define_encoder_block(e2, 256) e4 = define_encoder_block(e3, 512) e5 = define_encoder_block(e4, 512) e6 = define_encoder_block(e5, 512) #e7 = define_encoder_block(e6, 512) # bottleneck layer b = Conv2D(512, (4, 4), strides=(2, 2), padding='same', kernel_constraint=init)(e6) b = ReLU()(b) #decoder model #d1 = define_decoder_block(b, e7, 512) d2 = define_decoder_block(b, e6, 512) d3 = define_decoder_block(d2, e5, 512) d4 = define_decoder_block(d3, e4, 512, dropout=False) d5 = define_decoder_block(d4, e3, 256, dropout=False) d6 = define_decoder_block(d5, e2, 128, dropout=False) d7 = define_decoder_block(d6, e1, 64, dropout=False) #ouutput layer g = Conv2DTranspose(3, (4, 4), strides=(2, 2), padding='same', kernel_initializer=init)(d7) out_image = Activation('tanh')(g) model = Model(inputs=[content_image, style_image], outputs=out_image) return model #%% g_model = defing_generator() tf.keras.utils.plot_model(g_model, show_shapes=True) # %% def define_cnt_descriminator(image_shape=(128, 128, 3)): init = RandomNormal(stddev=0.02) #content image input in_cnt_image = Input(shape=image_shape) #transfer image input in_tr_image = Input(shape=image_shape) #concatnate image channel-wise merged = Concatenate()([in_cnt_image, in_tr_image]) # c64 d = Conv2D(64, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(merged) d = LeakyReLU(alpha=0.2)(d) # c128 d = Conv2D(128, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(d) d = BatchNormalization()(d) d = LeakyReLU(alpha=0.2)(d) # c256 d = Conv2D(256, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(d) d = BatchNormalization()(d) d = LeakyReLU(alpha=0.2)(d) # c512 d = Conv2D(512, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(d) d = BatchNormalization()(d) d = LeakyReLU(alpha=0.2)(d) # patch output d = Conv2D(512, (4, 4), strides=(2,2), padding='same', kernel_initializer=init)(d) patch_out = Activation('sigmoid')(d) #define model model = Model(inputs=[in_cnt_image, in_tr_image], outputs=patch_out) return model dsc_model = define_cnt_descriminator() tf.keras.utils.plot_model(dsc_model, show_shapes=True) # %% def define_style_descrminator(image_size=(128, 128, 3)): init = RandomNormal(stddev=0.02) input_img = Input(shape=image_size) # C64 d = Conv2D(64, (4, 4), (4, 4), padding='SAME', kernel_initializer=init)(input_img) d = LeakyReLU(alpha=0.2)(d) # C128 d = Conv2D(128, (4, 4), (4, 4), padding='SAME', kernel_initializer=init)(d) d = BatchNormalization()(d) d = LeakyReLU(alpha=0.2)(d) # C256 d = Conv2D(256, (4, 4), (4, 4), padding='SAME', kernel_initializer=init)(d) d = BatchNormalization()(d) d = LeakyReLU(alpha=0.2)(d) # flatten flt = Flatten()(d) # linear logits layer output = Dense(1)(flt) #build and compile the model model = Model(inputs=input_img, outputs=output, name='style_descriminator') return model dss_model = define_style_descrminator() tf.keras.utils.plot_model(dss_model, show_shapes=True) # %% def define_gan(g_model, dc_model, ds_model, image_shape=(128, 128, 3)): for layer in dc_model.layers: if not isinstance(layer, BatchNormalization): layer.trainable = False for layer in ds_model.layers: if not isinstance(layer, BatchNormalization): layer.trainable = False # input layer for GAN model cnt_img = Input(shape=image_shape) style_img = Input(shape=image_shape) # generator model gen_out = g_model([cnt_img, style_img]) # style descriminator model dss_out = ds_model(style_img) dst_out = ds_model(gen_out) # content descriminator model cnt_out = dc_model([cnt_img, gen_out]) model = Model(inputs=[cnt_img, style_img], outputs=[gen_out, dss_out, dst_out, cnt_out]) return model gan_model = define_gan(g_model, dsc_model, dss_model) tf.keras.utils.plot_model(gan_model, show_shapes=True) #%% def pairWiseRankingLoss(y_ref, y_style, label): m = tf.cast(tf.broadcast_to(1, shape=y_ref.shape), dtype=tf.float32) u = tf.cast(tf.broadcast_to(0, shape=y_ref.shape), dtype=tf.float32) i = tf.cast(tf.broadcast_to(1, shape=y_ref.shape), dtype=tf.float32) y = tf.cast(label[..., tf.newaxis], dtype=tf.float32) dist = tf.norm(y_ref-y_style, ord='euclidean', axis=-1, keepdims=True) loss = y*dist + (i-y)*tf.reduce_max(tf.stack([u,m-dist]), axis=0) return tf.reduce_mean(loss) dscLoss = tf.keras.losses.binary_crossentropy(from_logits=True) cntLoss = tf.keras.losses.KLDivergence() gan_opt = tf.keras.optimizers.Adamax(lr=0.002) gan_alpha = 0.6 gan_beta = 0.5 #%% @tf.function def gan_train_step(ref_in, style_in, trans_in,cnt_true, style_true): with tf.GradientTape() as tape: gen_out, dss_out, dst_out, cnt_out = gan_model(ref_in, style_in) dss_loss = pairWiseRankingLoss(dss_out, dst_out, style_true) dsc_loss = dscLoss(cnt_out, cnt_true) gen_loss = cntLoss(trans_in, gen_out) total_loss = gan_alpha*(gan_beta*dss_loss+(1-gan_beta)*dsc_loss)+(1-gan_alpha)*gen_loss grads = tape.gradient(total_loss, gan_model) gan_opt.apply_gradients(zip(grads, gan_model.trainable_weights)) return total_loss, dss_loss, dsc_loss #%% ds_model = define_style_descrminator() #TODO ds_opt = tf.keras.optimizers.Adam(lr=0.02) #%% @tf.function def ds_train_step(style_in, trans_in, label_in): with tf.GradientTape() as tape: ref_out = ds_model(style_in) trans_out = ds_model(trans_in) loss = pairWiseRankingLoss(ref_out, trans_out, label_in) grads = tape.gradient(loss, ds_model.trainable_weights) ds_opt.apply_gradients(zip(grads, ds_model.trainable_weights)) #train_metrics.update_state(ref_out, style_out, label_in) return loss #%% dc_model = define_cnt_descriminator() dc_opt = tf.keras.optimizers.Adam(lr=0.02) #%% @tf.function def dc_train_step(cnt_in, trans_in, label_in): with tf.GradientTape() as tape: logits = dc_model(cnt_in, trans_in) loss = pairWiseRankingLoss(label_in, logits) grads = tape.gradient(loss, dc_model.trainable_weights) dc_opt.apply_gradients(zip(grads, dc_model.trainable_weights)) #train_metrics.update_state(ref_out, style_out, label_in) return loss #%% def load_pixel_metrics(filename): full_mat = np.load(filename) style_pixels = (full_mat['style']-127.5)/127.5 content_pixels = (full_mat['cotent']-127.5)/127.5 transfer_mat = (full_mat['transfers']-127.5)/127.5 return style_pixels, content_pixels, transfer_mat def generate_real_samples(dataset, n_samples, patch_shape): style, content, trans = dataset cnt_idxs = random.sample(range(style.shape[1]), n_samples) style_idxs = np.random.randint(0, style.shape[0], n_samples) cnt_pixels = content[cnt_idxs] style_pixels = style[style_idxs] mat_pixels = trans[style_idxs, cnt_idxs, ...] y_dc = ones((n_samples, patch_shape, patch_shape, 1)) y_ds = ones((n_samples)) return [cnt_pixels, style_pixels, mat_pixels], y_dc, y_ds def generate_fake_samples(g_model, samples, patch_shape): cnt_img, style_img = samples X = g_model.predict(cnt_img, style_img) y_dc = zeros((len(X), patch_shape, patch_shape, 1)) y_ds = zeros((len(X))) return X, y_dc, y_ds #%% def train(g_model, ds_model, dc_model, gan_model, dataset, n_epoch=100, batch_size=2): n_patch = dc_model.output_shape[1] batch_per_epoch = len(dataset[1])//batch_size n_steps = n_epoch*batch_per_epoch for i in range(n_steps): [X_cnt, X_stl, X_trn], ydc_real, yds_real = generate_real_samples(dataset, batch_size, n_patch) X_fake_trn, ydc_fake, yds_fake = generate_fake_samples(g_model, [X_cnt, X_stl], n_patch) # train style descriminator ds_loss1 = ds_train_step(X_stl, X_trn, yds_real) ds_loss2 = ds_train_step(X_stl, X_fake_trn, yds_fake) #train content descriminator dc_loss1 = dc_train_step(X_cnt, X_trn, ydc_real) dc_loss2 = dc_train_step(X_cnt, X_fake_trn, ydc_fake) #train GAN model gan_total_loss, gan_dss_loss, gan_dsc_loss = gan_train_step(X_cnt, X_stl, X_fake_trn, ydc_real, yds_real) #%%

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0

1adac1d218c18f6ac227bb196bd7e184f91ab6fe

4,673

py

Python

ssis/views/courses/routes.py

edenroseFR/Student-Information-System-Web-based-

3553dc33defdcade0f207e200efbeceec0b46a2a

[ "MIT" ]

null

ssis/views/courses/routes.py

edenroseFR/Student-Information-System-Web-based-

3553dc33defdcade0f207e200efbeceec0b46a2a

[ "MIT" ]

6

2022-03-09T22:32:52.000Z

2022-03-31T22:32:16.000Z

ssis/views/courses/routes.py

edenroseFR/Student-Information-System-Web-based-

3553dc33defdcade0f207e200efbeceec0b46a2a

[ "MIT" ]

1

2022-01-30T21:58:16.000Z

from flask import request, render_template, redirect, flash from flask.helpers import url_for from ssis.models.student import Student from ssis.models.course import Course from ssis.models.college import College from .utils import add_course_to_db, update_course_record, check_page_limit, check_limit_validity from . import course from math import ceil current_page = 1 course_limit = 5 @course.route('/courses') def courses() -> str: global course_limit min_page = request.args.get('min_page') max_page = request.args.get('max_page') page_limit = check_page_limit(min_page, max_page) course_count = str(Course().get_total()) entered_limit = request.args.get('limit-field') if entered_limit == course_count: page_limit = 'min-and-max' try: course_limit = check_limit_validity(int(entered_limit), int(course_count)) except: course_limit = course_limit students = Student().get_all(paginate=False) courses = Course().get_all(current_page, course_limit) colleges = College().get_all(paginate=False) return render_template('/course/courses.html', data=[students,courses,colleges], datacount = course_count, course_limit = course_limit, limit=page_limit) @course.route('/courses/next', methods=['GET', 'POST']) def next() -> str: global current_page course_count = Course().get_total() current_page += 1 limit_page = ceil(course_count/course_limit) max_page_reached = current_page == limit_page if not max_page_reached: return redirect(url_for('course.courses', page_num=current_page)) else: return redirect(url_for('course.courses', page_num=current_page, max_page=True)) @course.route('/courses/prev', methods=['GET', 'POST']) def prev() -> str: global current_page max_page_reached = current_page == 1 if not max_page_reached: current_page -= 1 return redirect(url_for('course.courses', page_num=current_page)) else: current_page = 1 return redirect(url_for('course.courses', page_num=current_page, min_page=True)) @course.route('/course/add', methods=['GET', 'POST']) def add() -> str: if request.method == 'POST': course = { 'code': request.form.get('course-code'), 'name': request.form.get('course-name'), 'college': request.form.get('course-college') } add_course_to_db(course) flash(f'{course["code"]} added succesfully!', 'info') return redirect(url_for('course.courses')) else: return redirect(url_for('course.courses')) @course.route('/courses/search', methods=['GET', 'POST']) def search() -> str: user_input = request.form.get('user-input') field = request.form.get('field') if field == 'select': result = Course().search(keyword=user_input) elif field == 'code': result = Course().search(keyword=user_input, field='code') elif field == 'name': result = Course().search(keyword=user_input, field='name') elif field == 'college': result = Course().search(keyword=user_input, field='college') else: result = [] if len(result) != 0: return render_template('/course/courses.html', data=['', result], datacount = str(len(result)), course_limit = '5') else: flash(f'No course found', 'info') return render_template('/course/courses.html', data=['', result], datacount = str(len(result)), course_limit = '5') @course.route('/courses/delete/<string:id>') def delete(id: str) -> str: try: Course().delete(id) flash(f'{id} deleted from the database.', 'info') return redirect(url_for('course.courses')) except: flash(f'{id} cannot be deleted. Students are enrolled in this program', 'info') return redirect(url_for('course.courses')) @course.route('/courses/update/<string:id>', methods=['GET', 'POST']) def update(id: str) -> str: if request.method == 'POST': course = { 'code': id, 'name': request.form.get('course-name'), 'college': request.form.get('course-college') } update_course_record(course) flash(f"{id} has been updated succesfully!", 'info') return redirect(url_for('course.courses')) else: return redirect(url_for('course.courses'))

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null

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null

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1

0

1adb4971d58f79dc1378fa4f67ca664d6713962a

1,372

py

Python

src/ml-auto-sklearn/run.py

altermarkive/numerai-experiments

dd4d0b18b64d948a875cba9fd16b962ad9fe0a26

[ "MIT" ]

12

2019-12-05T08:43:07.000Z

2022-01-15T03:21:09.000Z

src/ml-auto-sklearn/run.py

altermarkive/Resurrecting-JimFleming-Numerai

dd4d0b18b64d948a875cba9fd16b962ad9fe0a26

[ "MIT" ]

null

src/ml-auto-sklearn/run.py

altermarkive/Resurrecting-JimFleming-Numerai

dd4d0b18b64d948a875cba9fd16b962ad9fe0a26

[ "MIT" ]

6

2019-12-12T08:12:04.000Z

2021-06-05T14:13:08.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import autosklearn.classification import numpy import os import pandas import sys def ingest(): training_data = pandas.read_csv(os.getenv('TRAINING'), header=0) tournament_data = pandas.read_csv(os.getenv('TESTING'), header=0) features = [f for f in list(training_data) if 'feature' in f] x = training_data[features] y = training_data['target'] x_tournament = tournament_data[features] ids = tournament_data['id'] return (x, y, x_tournament, ids) def train(x, y): model = autosklearn.classification.AutoSklearnClassifier( time_left_for_this_task=int(os.getenv('TIME_LIMIT_ALL', '3600')), per_run_time_limit=int(os.getenv('TIME_LIMIT_PART', '360'))) model.fit(x, y) print(model.show_models()) return model def predict(model, x_tournament, ids): eps = sys.float_info.epsilon y_prediction = model.predict_proba(x_tournament) results = numpy.clip(y_prediction[:, 1], 0.0 + eps, 1.0 - eps) results_df = pandas.DataFrame(data={'probability': results}) joined = pandas.DataFrame(ids).join(results_df) joined.to_csv(os.getenv('PREDICTING'), index=False, float_format='%.16f') def main(): x, y, x_tournament, ids = ingest() model = train(x, y) predict(model, x_tournament.copy(), ids) if __name__ == '__main__': main()

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null

0

null

0

1

0

1adce0caad79b2df76b7128ac2a5ec6c6011e8fe

17,143

py

Python

genens/gp/types.py

gabrielasuchopar/genens

228e2776897b0cfc6f96fb625346d28e7e1cf5fe

[ "MIT" ]

null

genens/gp/types.py

gabrielasuchopar/genens

228e2776897b0cfc6f96fb625346d28e7e1cf5fe

[ "MIT" ]

null

genens/gp/types.py

gabrielasuchopar/genens

228e2776897b0cfc6f96fb625346d28e7e1cf5fe

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ This module defines the structure of GP primitives. The GP primitives are nodes with typed edges (parent input and child output types must match) and variable arity (for a given type, its final arity can be chosen during the evolution process). A ``GpPrimitive`` is a node whose types, arities and keyword arguments have been decided. To create such primitives, it is possible to take use of templates. These contain possible values of arities, types and keyword arguments and methods for choosing final values. The primitive templates defined in this file are 1) functions - inner nodes of the tree, transform input into output 2) terminals - leaves of the tree, provide constant output. """ import functools import random from copy import deepcopy from deap import base from typing import Callable, List, Any, Dict, Union, Tuple class GpTreeIndividual: """Represents a tree individual used in GP. The individual is a tree encoded as a list of ``GpPrimitive`` nodes. The list is a post-order representation of the tree. The tree can be uniquely reconstructed using the arity (and types) of primitives. """ def __init__(self, prim_list: List['GpPrimitive'], max_height: int): """ Construct a GP tree from a list of primitives. Args: prim_list: list of GpPrimitive prim_list: Post-order representation of the tree. max_height: Height of the tree - maximum of all node depths + 1 """ self.primitives = prim_list self.max_height = max_height self.validate_tree() def __deepcopy__(self, memo=None): if memo is None: memo = {} new = object.__new__(type(self)) memo[id(self)] = new new.__dict__.update(deepcopy(self.__dict__, memo)) return new def __eq__(self, other): if not isinstance(other, GpTreeIndividual): return False if self.primitives != other.primitives: return False return True def __repr__(self): return f'GpTreeIndividual(height={self.max_height} primitives={self.primitives.__repr__()})' def run_tree(self, node_func, group_children: bool = False) -> Any: """ Applies a function with the signature ``func(node, child_list)`` on all nodes in the tree. The tree is traversed in post-order. The arguments of the function are a node and list of result values of its child nodes. :param node_func: Function which is applied on all nodes of the tree. :return: Return value of the root. """ stack = [] for node in self.primitives: if node.arity == 0: stack.append(node_func(node, [])) else: args = stack[-node.arity:] stack = stack[:-node.arity] if group_children: children_by_type = [] for t in node.in_type: t_children, args = args[-t.arity:], args[:-t.arity] children_by_type.append((t.name, t_children)) args = children_by_type stack.append(node_func(node, args)) if len(stack) > 1: raise ValueError("Bad tree - invalid primitive list.") return stack.pop() def subtree(self, root_ind: int) -> Tuple[int, int]: """ Returns the start position of the subtree with primitive `self.primitives[root_ind]` as root. Note that the returned value is in fact the index of one of the leaves, as the node list is post-order. As so, the whole subtree is extracted with `self.primitives[subtree(root_ind), root_ind + 1]`. Args: root_ind: Position of the root (index of the beginning). Returns: A tuple `(s, h)`, where `s` is the start index and `h` is the height of the subtree. """ curr = self.primitives[root_ind] arity_rem = curr.arity init_h = curr.depth max_h = init_h while arity_rem > 0: root_ind = root_ind - 1 curr = self.primitives[root_ind] max_h = max(max_h, curr.depth) arity_rem = arity_rem - 1 + curr.arity return root_ind, (max_h - init_h + 1) def validate_tree(self): """ Validates the tree, raises an exception if its children are invalid. """ def validate_node(node, child_list): if node.arity != len(child_list): raise ValueError("Invalid number of children.") child_id = 0 for in_type in node.in_type: for i in range(in_type.arity): child = child_list[child_id + i] if child.out_type != in_type.name: raise ValueError("Invalid child type.") if child.depth != node.depth + 1: raise ValueError("Invalid child height.") child_id += in_type.arity return node self.run_tree(validate_node) if self.max_height != max(prim.depth + 1 for prim in self.primitives): raise ValueError("Invalid tree height.") class DeapTreeIndividual(GpTreeIndividual): """ Represents an individual with DEAP-compatible fitness. """ def __init__(self, prim_list: List['GpPrimitive'], max_height: int): super().__init__(prim_list, max_height) self.fitness = DeapTreeIndividual.Fitness() # (score, log(evaluation_time)) self.compiled_pipe = None class Fitness(base.Fitness): def __init__(self, values=()): self.weights = (1.0, -1.0) super().__init__(values) def reset(self): del self.fitness.values self.compiled_pipe = None class GpPrimitive: """ Represents a typed node in the GP tree. Its name and keyword dictionary hold information about the function or object, which is associated with the node. """ def __init__(self, name: str, obj_kwargs: Dict[str, Any], in_type: List['GpPrimitive.InputType'], out_type: str, arity: int, depth: int): """ Creates an instance of a GP tree node. The number and output types as well as the ordering of its children is specified by `in_type`. Args: name: Name of the node. obj_kwargs: Keyword arguments associated with the node. in_type: List of input types with arity. The subtypes are ordered - e.g. [('data', 2), ('ens', 1)] is not the same as [('ens', 1), ('data', 2)]. arity: Sum of arity of subtypes. depth: Depth of the node. """ self.name = name self.obj_kwargs = obj_kwargs self.in_type = in_type self.out_type = out_type self.arity = arity self.depth = depth def __deepcopy__(self, memo=None): if memo is None: memo = {} new = object.__new__(type(self)) memo[id(self)] = new new.__dict__.update(deepcopy(self.__dict__, memo)) return new def __eq__(self, other): if not isinstance(other, GpPrimitive): return False if self.name != other.name: return False if self.arity != other.arity or self.in_type != other.in_type or self.out_type != other.out_type: return False if self.obj_kwargs != other.obj_kwargs: return False return True def __repr__(self): return 'GpPrimitive(name=' + self.name + ", arity={}".format(self.arity)\ + ", height={})".format(self.depth) class InputType: """ Represents the input type of a primitive. It determines how many children with a specific output type should the node have. """ def __init__(self, name: str, arity: int): """ Construct a new instance of input type with arity. :param name: Name of the type. :param arity: Arity of this type. """ self.name = name self.arity = arity def __eq__(self, other): if not isinstance(other, GpPrimitive.InputType): return False if self.name != other.name or self.arity != other.arity: return False return True class GpTerminalTemplate: """ Represents a terminal of the GP tree, or a primitive with no inputs. The output type is fixed. The keyword arguments are chosen from lists of possible values. """ def __init__(self, name: str, out_type: str, group: str = None): """ Creates a new instance of a terminal template. Args: name: Name of the node. out_type: Name of the output type. """ self.name = name self.type_arity_template = [] self.out_type = out_type self.group = group def __repr__(self): return f"GpTerminalTemplate: {self.name} - {self.group}" def create_primitive(self, curr_height: int, max_arity: int, kwargs_dict: Dict[str, List[Any]]) -> GpPrimitive: """ Creates an instance of a `GpPrimitive` from the template. Selects keyword arguments from `kwargs_dict`. For every key, the dict contains a list of possible values. Args: curr_height: Height at which the node is generated. max_arity: Only for compatibility, not used for terminals. kwargs_dict: Dictionary which contains possible keyword argument values. Return: A new instance of `GpPrimitive`. """ prim_kwargs = _choose_kwargs(kwargs_dict) return GpPrimitive(self.name, prim_kwargs, [], self.out_type, 0, curr_height) class TypeArity: """ Represents a variable node arity associated with a type. """ def __init__(self, prim_type: str, arity_template: Union[int, Tuple[int, int], Tuple[int, str]]): """ Constructs a new instance of a type template - with a fixed type, but possibly variable arity. Args: prim_type: Name of the type. arity_template: Either a fixed arity value, or a bounded interval (a, b) where a and b are integers, or an interval (a, 'n') that has only a lower bound a ('n' is a string). """ self.prim_type = prim_type self.arity_template = arity_template # check arity range if isinstance(self.arity_template, tuple): lower_invalid = self.arity_template[0] < 0 upper_invalid = self.arity_template[1] != 'n' and self.arity_template[0] > self.arity_template[1] if lower_invalid or upper_invalid: raise ValueError("Invalid arity range.") # check fixed arity elif isinstance(self.arity_template, int): if self.arity_template <= 0: raise ValueError("Arity must be greater than 0.") else: raise ValueError("Invalid arity type.") def is_valid_arity(self, arity: int): """ Determines whether `self.choose_arity` could possibly result in `arity`. Args: arity: Input arity to compare with this template. Returns: True if `arity` can be created from this template. """ if isinstance(self.arity_template, tuple): # out of range if arity < self.arity_template[0]: return False if self.arity_template[1] != 'n' and arity > self.arity_template[1]: return False # inside range return True # match fixed arity if isinstance(self.arity_template, int): return self.arity_template == arity return False def choose_arity(self, max_arity: int) -> int: """ Chooses an integer arity from the arity range or returns the arity if it is already a fixed value. Args: max_arity: The upper bound of arities. It is an upper bound for all ranges, even when the arity upper bound is greater. If the lower bound is greater than this value, `max_arity` is not applied and the value is chosen from the original interval. Returns: A fixed arity value. """ if not isinstance(self.arity_template, tuple): return self.arity_template a_from, a_to = self.arity_template # is not applied for ranges which are greater than ``max_arity`` as it could result in invalid behavior if a_to == 'n' or a_to > max_arity >= a_from: a_to = max(max_arity, a_from) return random.randint(a_from, a_to) class GpFunctionTemplate: """ Represents an inner node of the GP tree. This class is a template of a function node - the input type may have variable arity which is decided when an instance of `GpPrimitive` is created from this template. During this process, keyword arguments are decided as well. The template input type is an ordered list of subtypes. These may have a variable arity (a range) and the final arity is chosen during the instantiation. The keyword arguments are chosen from lists of possible values. """ def __init__(self, name: str, type_arity_template: List[TypeArity], out_type: str, group: str = None): """ Args: name: Name key associated with the node. type_arity_template: Ordered list of children subtypes with variable arity. out_type: Name of the output type. group: Name of group of the node. """ self.name = name self.type_arity_template = type_arity_template self.out_type = out_type self.group = group def __repr__(self): return f"GpFunctionTemplate: {self.name} - {self.group}" def create_primitive(self, curr_height: int, max_arity: int, kwargs_dict: Dict[str, List], in_type: GpPrimitive.InputType = None) -> GpPrimitive: """ Creates an instance of a ``GpPrimitive`` from the template. Selects keyword arguments from ``kwargs_dict``. For every key, the dict contains a list of possible values. Select final arities of every TypeArity in `self.type_arities` - that is, if a function node has a variable number of input arguments (possibly of different types), for every subtype a fixed arity is chosen. TODO add example Args: curr_height: Height at which the node is generated max_arity: Maximum arity value which can be chosen for a single TypeArity. kwargs_dict: Dictionary which contains possible keyword argument values. in_type: Input type; if provided, it is used instead of generating a new random type. Returns: A new instance of GpPrimitive """ prim_kwargs = _choose_kwargs(kwargs_dict) def create_type(t): arity = t.choose_arity(max_arity) # do not construct a type in case of 0 if arity == 0: return None return GpPrimitive.InputType(t.prim_type, arity) if in_type is None: # ordered list of final arity of types in_type = [create_type(t_a) for t_a in self.type_arity_template] in_type = [t for t in in_type if t is not None] # # total arity of the node arity_sum = functools.reduce(lambda s, t: s + t.arity, in_type, 0) return GpPrimitive(self.name, prim_kwargs, in_type, self.out_type, arity_sum, curr_height) def _choose_kwargs(kwargs_dict: Dict[str, List]) -> Dict[str, Any]: """ Chooses keyword argument values from the argument dictionary `kwargs_dict`. For every keyword argument, it contains a list of possible values for every key. Args: kwargs_dict: Dict of possible kwarg values. Returns: Dict with one value selected per key. """ if kwargs_dict is None: return {} return {k: random.choice(arg_list) for k, arg_list in kwargs_dict.items()} def tree_str(gp_tree: GpTreeIndividual, with_hyperparams=False): def get_tree(node, ch_l): return node, ch_l def print_node(node: GpPrimitive, ch_l, indent, str_res): str_res += " " * indent + node.name + "\n" if with_hyperparams: for k, val in node.obj_kwargs.items(): str_res += " " * (indent + 1) + "| " + f"{k}: {val}\n" for child, next_list in ch_l: str_res = print_node(child, next_list, indent + 1, str_res) return str_res root, child_list = gp_tree.run_tree(get_tree) return print_node(root, child_list, 0, "")

34.013889

116

0.605903

2,241

17,143

4.481481

0.142347

0.033655

0.028776

0.010156

0.261277

0.215872

0.177736

0.158319

0.150752

0.132829

0

0.003319

0.314531

17,143

504

117

34.013889

0.851332

0.385522

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0.287736

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false

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0.023585

0.377358

0.014151

0

null

0

null

0

1

0

1adde29b2e90eb0fb93c6d9f7876da65ee32a793

2,408

py

Python

pca-server/src/pca/pca-aws-sf-wait-for-transcribe-notification.py

Harsh15021992/amazon-transcribe-post-call-analytics

d85aaf6f52394a96f3935cfc63e5bbe4f6e7a2ef

[ "Apache-2.0" ]

8

2021-12-18T17:10:33.000Z

2022-03-25T14:16:38.000Z

pca-server/src/pca/pca-aws-sf-wait-for-transcribe-notification.py

Harsh15021992/amazon-transcribe-post-call-analytics

d85aaf6f52394a96f3935cfc63e5bbe4f6e7a2ef

[ "Apache-2.0" ]

6

2022-02-28T01:29:25.000Z

2022-03-22T09:09:17.000Z

pca-server/src/pca/pca-aws-sf-wait-for-transcribe-notification.py

Harsh15021992/amazon-transcribe-post-call-analytics

d85aaf6f52394a96f3935cfc63e5bbe4f6e7a2ef

[ "Apache-2.0" ]

4

2021-12-30T00:13:24.000Z

2022-03-23T13:12:47.000Z

""" This python function is part of the main processing workflow. It is called when a Transcribe job is started, and it will create an entry in a DynamoDB table that holds some job information and the Step Functions task token. The Step Function should then wait for another task to read this task token from DynamoDB and resume the execution. Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 """ import json import boto3 import os def lambda_handler(event, context): """ Create/update the task token for the given Transcribe job, and the Step Function should pause until that token is sent back by an EventBridge Lambda trigger when the Transcribe job completes. If no Transcribe job exists then throw an exception, but we shouldn't be here if this is the case """ # Our tracking table name is an environment variable DDB_TRACKING_TABLE = os.environ["TableName"] # Extract our parameters jobName = event["Input"]["jobName"] api_mode = event["Input"]["apiMode"] taskToken = event["TaskToken"] # If the jobName is "" then that means no task was started - the Step Function # shouldn't have sent us here, so throw an exception to break the execution if jobName == "": raise Exception('No Transcribe job called \'{}\' exists.'.format(jobName)) # Insert/Update tracking entry between Transcribe job and the Step Function ddbClient = boto3.client("dynamodb") response = ddbClient.put_item(Item={ 'PKJobId': {'S': jobName}, 'SKApiMode': {'S': api_mode}, 'taskToken': {'S': taskToken}, 'taskState': {'S': json.dumps(event["Input"])} }, TableName=DDB_TRACKING_TABLE) return event # Main entrypoint for testing if __name__ == "__main__": event = { "Input": { "bucket": "ajk-call-analytics-demo", "key": "audio/example-call.wav", "langCode": "en-US", "jobName": "stereo.mp3", "apiMode": "analytics" }, "TaskToken": "tesGGDSAG3RWEF" } os.environ['TableName'] = 'cci-PCAServer-MK00H3MPFXK9-DDB-1DUUJKPYBH0LP-Table-1AOTYJNH0R9RF' lambda_handler(event, "")

39.47541

117

0.624169

291

2,408

5.106529

0.508591

0.05249

0.040377

0.028264

0.041723

0

0.008671

0.281561

2,408

61

118

39.47541

0.850289

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0.258263

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0

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0.03125

false

0

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0

0.15625

0

null

0

null

0

1

0

1ade2ab84fea82b9e5678e3da0ae759e264da506

7,388

py

Python

facebook_business/adobjects/nativeoffer.py

enricapq/facebook-python-business-sdk

49c569ac5cf812b1bcb533520c35896b0436fa4c

[ "CNRI-Python" ]

null

facebook_business/adobjects/nativeoffer.py

enricapq/facebook-python-business-sdk

49c569ac5cf812b1bcb533520c35896b0436fa4c

[ "CNRI-Python" ]

null

facebook_business/adobjects/nativeoffer.py

enricapq/facebook-python-business-sdk

49c569ac5cf812b1bcb533520c35896b0436fa4c

[ "CNRI-Python" ]

1

2020-07-27T16:34:58.000Z

# Copyright 2014 Facebook, Inc. # You are hereby granted a non-exclusive, worldwide, royalty-free license to # use, copy, modify, and distribute this software in source code or binary # form for use in connection with the web services and APIs provided by # Facebook. # As with any software that integrates with the Facebook platform, your use # of this software is subject to the Facebook Developer Principles and # Policies [http://developers.facebook.com/policy/]. This copyright 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 facebook_business.adobjects.abstractobject import AbstractObject from facebook_business.adobjects.abstractcrudobject import AbstractCrudObject from facebook_business.adobjects.objectparser import ObjectParser from facebook_business.api import FacebookRequest from facebook_business.typechecker import TypeChecker """ This class is auto-generated. For any issues or feature requests related to this class, please let us know on github and we'll fix in our codegen framework. We'll not be able to accept pull request for this class. """ class NativeOffer( AbstractCrudObject, ): def __init__(self, fbid=None, parent_id=None, api=None): self._isNativeOffer = True super(NativeOffer, self).__init__(fbid, parent_id, api) class Field(AbstractObject.Field): barcode_photo = 'barcode_photo' barcode_photo_uri = 'barcode_photo_uri' barcode_type = 'barcode_type' barcode_value = 'barcode_value' block_reshares = 'block_reshares' details = 'details' disable_location = 'disable_location' discounts = 'discounts' expiration_time = 'expiration_time' id = 'id' instore_code = 'instore_code' location_type = 'location_type' max_save_count = 'max_save_count' online_code = 'online_code' page = 'page' page_set_id = 'page_set_id' redemption_code = 'redemption_code' redemption_link = 'redemption_link' save_count = 'save_count' terms = 'terms' title = 'title' total_unique_codes = 'total_unique_codes' unique_codes = 'unique_codes' unique_codes_file_code_type = 'unique_codes_file_code_type' unique_codes_file_name = 'unique_codes_file_name' unique_codes_file_upload_status = 'unique_codes_file_upload_status' class BarcodeType: code128 = 'CODE128' code128b = 'CODE128B' code93 = 'CODE93' databar = 'DATABAR' databar_expanded = 'DATABAR_EXPANDED' databar_expanded_stacked = 'DATABAR_EXPANDED_STACKED' databar_limited = 'DATABAR_LIMITED' datamatrix = 'DATAMATRIX' ean = 'EAN' pdf417 = 'PDF417' qr = 'QR' upc_a = 'UPC_A' upc_e = 'UPC_E' class LocationType: both = 'both' offline = 'offline' online = 'online' def api_get(self, fields=None, params=None, batch=None, success=None, failure=None, pending=False): from facebook_business.utils import api_utils if batch is None and (success is not None or failure is not None): api_utils.warning('`success` and `failure` callback only work for batch call.') param_types = { } enums = { } request = FacebookRequest( node_id=self['id'], method='GET', endpoint='/', api=self._api, param_checker=TypeChecker(param_types, enums), target_class=NativeOffer, api_type='NODE', response_parser=ObjectParser(reuse_object=self), ) request.add_params(params) request.add_fields(fields) if batch is not None: request.add_to_batch(batch, success=success, failure=failure) return request elif pending: return request else: self.assure_call() return request.execute() def create_native_offer_view(self, fields=None, params=None, batch=None, success=None, failure=None, pending=False): from facebook_business.utils import api_utils if batch is None and (success is not None or failure is not None): api_utils.warning('`success` and `failure` callback only work for batch call.') param_types = { 'ad_account': 'string', 'ad_image_hashes': 'list<string>', 'carousel_captions': 'list<string>', 'carousel_data': 'list<Object>', 'carousel_links': 'list<string>', 'deeplinks': 'list<string>', 'image_crops': 'list<map>', 'message': 'string', 'photos': 'list<string>', 'place_data': 'Object', 'published': 'bool', 'published_ads': 'bool', 'urls': 'list<string>', 'videos': 'list<string>', } enums = { } request = FacebookRequest( node_id=self['id'], method='POST', endpoint='/nativeofferviews', api=self._api, param_checker=TypeChecker(param_types, enums), target_class=NativeOffer, api_type='EDGE', response_parser=ObjectParser(target_class=NativeOffer, api=self._api), ) request.add_params(params) request.add_fields(fields) if batch is not None: request.add_to_batch(batch, success=success, failure=failure) return request elif pending: return request else: self.assure_call() return request.execute() _field_types = { 'barcode_photo': 'string', 'barcode_photo_uri': 'string', 'barcode_type': 'string', 'barcode_value': 'string', 'block_reshares': 'bool', 'details': 'string', 'disable_location': 'bool', 'discounts': 'list<NativeOfferDiscount>', 'expiration_time': 'datetime', 'id': 'string', 'instore_code': 'string', 'location_type': 'string', 'max_save_count': 'int', 'online_code': 'string', 'page': 'Page', 'page_set_id': 'string', 'redemption_code': 'string', 'redemption_link': 'string', 'save_count': 'int', 'terms': 'string', 'title': 'string', 'total_unique_codes': 'string', 'unique_codes': 'string', 'unique_codes_file_code_type': 'string', 'unique_codes_file_name': 'string', 'unique_codes_file_upload_status': 'string', } @classmethod def _get_field_enum_info(cls): field_enum_info = {} field_enum_info['BarcodeType'] = NativeOffer.BarcodeType.__dict__.values() field_enum_info['LocationType'] = NativeOffer.LocationType.__dict__.values() return field_enum_info

36.756219

120

0.634407

831

7,388

5.406739

0.309266

0.036724

0.030047

0.019363

0.30158

0.266637

0.259292

0.250835

0.217227

0

0.004819

0.269762

7,388

200

121

36.94

0.827989

0.136302

0

0.25

0

0.233388

0.034039

0

1

0.025

false

0

0.04375

0

0.14375

0

null

0

null

0

1

0

1ade68f905e2e6d0e18b008d110d6b4f19c4319b

6,503

py

Python

test/hvd_allreduce.py

IST-DASLab/horovod

d2611353c33b299f04e47fae0de741702de3130e

[ "Apache-2.0" ]

null

test/hvd_allreduce.py

IST-DASLab/horovod

d2611353c33b299f04e47fae0de741702de3130e

[ "Apache-2.0" ]

null

test/hvd_allreduce.py

IST-DASLab/horovod

d2611353c33b299f04e47fae0de741702de3130e

[ "Apache-2.0" ]

null

import argparse import horovod.torch as hvd import pickle import numpy.random as rnd import numpy as np import torch import os arrays = [] class MaxMinQuantizer(): def __init__(self, q_bits, bucket_size): self.q = q_bits self.num_levels = 1 << self.q self.bucket_size = bucket_size def compress(self, a): if self.q == 32: return a numel = a.numel() if self.bucket_size == -1: a[:] = self.quantize_bucket(a) else: main_chunk_size = (numel // self.bucket_size) * self.bucket_size if main_chunk_size > 0: a[:main_chunk_size] = self.quantize_bucket(a[:main_chunk_size].view((-1, self.bucket_size))).view(-1) if numel - main_chunk_size > 0: a[main_chunk_size:] = self.quantize_bucket(a[main_chunk_size:]) return a def quantize_bucket(self, a): non_2 = False if a.dim() != 2: a = a[None, :] non_2 = True if a.dim() == 2: fmin = torch.min(a, dim=1)[0] fmax = torch.max(a, dim=1)[0] unit = (fmax - fmin) / (self.num_levels - 1) unit = unit[:, None] fmin = fmin[:, None] s = torch.Tensor([1e-11]).expand_as(unit).to(a.device) unit = torch.max(unit, s) a -= fmin a /= unit a += torch.empty(a.size(), device=a.device).uniform_(0, 1) # log(a.cpu().numpy()) torch.floor_(a) a *= unit a += fmin if non_2: return a[0] return a class NormUniformQuantizer(MaxMinQuantizer): def __init__(self, q_bits, bucket_size): super().__init__(q_bits, bucket_size) self.num_levels = self.num_levels // 2 def quantize_bucket(self, a): non_2 = False if a.dim() != 2: a = a[None, :] non_2 = True if a.dim() == 2: vnorm = torch.norm(a, p=float("inf"), dim=1) vnorm = vnorm[:, None] s = torch.Tensor([1e-11]).expand_as(vnorm).to(a.device) else: vnorm = torch.norm(a, p=float("inf")) s = torch.Tensor([1e-11]).to(a.device) vnorm = torch.max(vnorm, s) sign = torch.sign(a) # cast sign to 1 bit sign.add_(1).div_(2) sign.mul_(2).add_(-1) if self.num_levels > 1: q = torch.abs(a / vnorm) r = torch.rand(a.shape, device=a.device) q.mul_((self.num_levels - 1)) q.add_(r) torch.floor_(q) q.div_((self.num_levels - 1)) res = q * vnorm * sign else: res = vnorm * sign if non_2: return res[0] else: return res def log(msg): if hvd.rank() == 0: print(msg) def generate_arrays(size): rnd.seed(43) global arrays sum = np.zeros(size) for i in range(num_nodes): array = rnd.normal(size=size, scale=0.1) sum = np.add(sum, array) arrays.append(array) arrays.append(sum) def get_array(idx): return arrays[idx] def get_expected_result(): quantizer = MaxMinQuantizer(args.q, args.bucket_size) # quantizer = NormUniformQuantizer(args.q, args.bucket_size) rank = hvd.rank() array = torch.tensor(get_array(rank), device="cuda") # print(array) quantizer.compress(array) # print(array.cpu().numpy()) a = hvd.allgather(array, "allgather").view(-1, *array.shape) return torch.sum(a, dim=0) def run_allreduce(args, num, res): array = get_array(hvd.rank()) res = get_array(hvd.size()) # print(array[:8]) tensors = [] for i in range(num): if args.no_cuda: tensor = torch.tensor(array, device='cpu').float() else: tensor = torch.tensor(array, device='cuda').float() tensors.append(tensor) torch.cuda.synchronize() if args.fp16: tensor = tensor.half() handles = [] for i in range(num): handles.append(hvd.allreduce_async_(tensors[i], name='test.{}'.format(i), op=hvd.Sum)) #tensors[i] = hvd.synchronize(handles[-1]) #tensors[i] = hvd.allreduce_(tensors[i], name='test.{}'.format(i), op=hvd.Sum) #tensors[i] = hvd.allreduce(tensors[i], name='test.{}'.format(i), # compression=hvd.Compression.fp16 if args.quantization_bits == 16 else hvd.Compression.none) #for i in range(num_nodes): # print(i, get_array(i)[:8]) #print("Base sum: ", result[:8]) #print("Hvd: ", avg[:8]) for i in range(num): h = handles[i] avg_tensor = hvd.synchronize(h) #avg_tensor = tensors[i] #print(avg_tensor[:8]) #avg_tensor = tensors[i] avg = avg_tensor.cpu().numpy() if hvd.rank() == 0: diff = np.linalg.norm(res - avg) if diff > res.size * 5e-2: log("L2 error: {}".format(diff)) log("Base sum: {}".format(res[:8])) log("Hvd: {}".format(avg[:8])) hvd.broadcast_object(False, 0, "Result") return False else: hvd.broadcast_object(True, 0, "Result") else: res = hvd.broadcast_object(None, 0, "Result") if not res: return False return True parser = argparse.ArgumentParser(description='PyTorch MNIST Example') parser.add_argument("--array-size", type=int, default=32, help="array size (default: 32)") parser.add_argument('--no-cuda', action='store_true', default=False, help='disables CUDA training') parser.add_argument('--fp16', action='store_true', default=False, help='Casts tensors to fp16') parser.add_argument('-q', type=int, default=32, help="quantization bits") parser.add_argument('--bucket-size', type=int, default=512, help="quantization bucket size") args = parser.parse_args() # os.environ["HOROVOD_QUANTIZATION_BITS"] = str(args.q) # os.environ["HOROVOD_COMPRESSION_BUCKET_SIZE"] = str(args.bucket_size) hvd.init() num_nodes = hvd.size() torch.cuda.set_device(hvd.rank()) generate_arrays(args.array_size) # res = get_expected_result() # res = res.cpu().numpy() res = None num_layers = 1 num_batches = 100 for i in range(num_batches): if not run_allreduce(args, num_layers, res): log("Failed") break else: log("Passed")

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0.006211

0

null

0

null

0

1

0

1ae318fc2f53a52ba514b1e0986fa0f2c395b272

6,495

py

Python

accelerator/shell/init.py

drougge/accelerator

f99b2550a84c79cadb032acf0d2d60bccf75bf0d

[ "Apache-2.0" ]

null

accelerator/shell/init.py

drougge/accelerator

f99b2550a84c79cadb032acf0d2d60bccf75bf0d

[ "Apache-2.0" ]

null

accelerator/shell/init.py

drougge/accelerator

f99b2550a84c79cadb032acf0d2d60bccf75bf0d

[ "Apache-2.0" ]

null

############################################################################ # # # Copyright (c) 2019-2020 Carl Drougge # # Modifications copyright (c) 2020 Anders Berkeman # # # # 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. # # # ############################################################################ a_example = r"""description = r''' This is just an example. It doesn't even try to do anything useful. You can run it to see that your installation works. ''' options = dict( message=str, ) def analysis(sliceno): return sliceno def synthesis(analysis_res): print("Sum of all sliceno:", sum(analysis_res)) print("Message:", options.message) """ build_script = r"""def main(urd): urd.build('example', message='Hello world!') """ config_template = r"""# The configuration is a collection of key value pairs. # # Values are specified as # key: value # or for several values # key: # value 1 # value 2 # ... # (any leading whitespace is ok) # # Use ${{VAR}} or ${{VAR=DEFAULT}} to use environment variables. slices: {slices} workdirs: {name} ./workdirs/{name} # Target workdir defaults to the first workdir, but you can override it. # (this is where jobs without a workdir override are built) target workdir: {name} method packages: {name} accelerator.standard_methods accelerator.test_methods urd: local # can also be URL/socket to your urd # [host]:port or path where board will listen. # You can also start board separately with "ax board". board listen: .socket.dir/board result directory: ./results input directory: {input} # If you want to run methods on different python interpreters you can # specify names for other interpreters here, and put that name after # the method in methods.conf. # You automatically get four names for the interpreter that started # the server: DEFAULT, {major}, {major}.{minor} and {major}.{minor}.{micro} (adjusted to the actual # version used). You can override these here, except DEFAULT. # interpreters: # 2.7 /path/to/python2.7 # test /path/to/beta/python """ def quote(v): from accelerator.compat import PY2 if PY2: return '"%s"' % (v.replace('"', '\\"'),) # good enough, hopefully else: import shlex return shlex.quote(v) def main(argv): from os import makedirs, listdir, chdir from os.path import exists, join, realpath from sys import version_info from argparse import RawDescriptionHelpFormatter from accelerator.compat import ArgumentParser from accelerator.error import UserError parser = ArgumentParser( prog=argv.pop(0), description=r''' creates an accelerator project directory. defaults to the current directory. creates accelerator.conf, a method dir, a workdir and result dir. both the method directory and workdir will be named <NAME>, "dev" by default. '''.replace('\t', ''), formatter_class=RawDescriptionHelpFormatter, ) parser.add_argument('--slices', default=None, type=int, help='override slice count detection') parser.add_argument('--name', default='dev', help='name of method dir and workdir, default "dev"') parser.add_argument('--input', default='# /some/path where you want import methods to look.', help='input directory') parser.add_argument('--force', action='store_true', help='go ahead even though directory is not empty, or workdir exists with incompatible slice count') parser.add_argument('directory', default='.', help='project directory to create. default "."', metavar='DIR', nargs='?') options = parser.parse_args(argv) assert options.name assert '/' not in options.name if not options.input.startswith('#'): options.input = quote(realpath(options.input)) prefix = realpath(options.directory) workdir = join(prefix, 'workdirs', options.name) slices_conf = join(workdir, '.slices') try: with open(slices_conf, 'r') as fh: workdir_slices = int(fh.read()) except IOError: workdir_slices = None if workdir_slices and options.slices is None: options.slices = workdir_slices if options.slices is None: from multiprocessing import cpu_count options.slices = cpu_count() if workdir_slices and workdir_slices != options.slices and not options.force: raise UserError('Workdir %r has %d slices, refusing to continue with %d slices' % (workdir, workdir_slices, options.slices,)) if not options.force and exists(options.directory) and listdir(options.directory): raise UserError('Directory %r is not empty.' % (options.directory,)) if not exists(options.directory): makedirs(options.directory) chdir(options.directory) for dir_to_make in ('.socket.dir', 'urd.db',): if not exists(dir_to_make): makedirs(dir_to_make, 0o750) for dir_to_make in (workdir, 'results',): if not exists(dir_to_make): makedirs(dir_to_make) with open(slices_conf, 'w') as fh: fh.write('%d\n' % (options.slices,)) method_dir = options.name if not exists(method_dir): makedirs(method_dir) with open(join(method_dir, '__init__.py'), 'w') as fh: pass with open(join(method_dir, 'methods.conf'), 'w') as fh: fh.write('example\n') with open(join(method_dir, 'a_example.py'), 'w') as fh: fh.write(a_example) with open(join(method_dir, 'build.py'), 'w') as fh: fh.write(build_script) with open('accelerator.conf', 'w') as fh: fh.write(config_template.format( name=quote(options.name), slices=options.slices, input=options.input, major=version_info.major, minor=version_info.minor, micro=version_info.micro, ))

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0

null

0

null

0

1

0

1ae3f2b04641e41b7f95d3b94460b572e616223c

2,115

py

Python

tensorflow_probability/python/math/psd_kernels/pointwise_exponential_test.py

jakee417/probability-1

ae7117f37ac441bc7a888167ea23e5e620c5bcde

[ "Apache-2.0" ]

3,670

2018-02-14T03:29:40.000Z

2022-03-30T01:19:52.000Z

tensorflow_probability/python/math/psd_kernels/pointwise_exponential_test.py

jakee417/probability-1

ae7117f37ac441bc7a888167ea23e5e620c5bcde

[ "Apache-2.0" ]

1,395

2018-02-24T02:28:49.000Z

2022-03-31T16:12:06.000Z

tensorflow_probability/python/math/psd_kernels/pointwise_exponential_test.py

jakee417/probability-1

ae7117f37ac441bc7a888167ea23e5e620c5bcde

[ "Apache-2.0" ]

1,135

2018-02-14T01:51:10.000Z

2022-03-28T02:24:11.000Z

# Copyright 2021 The TensorFlow Probability Authors. # # 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. # ============================================================================ """Tests for exponential.""" import numpy as np import tensorflow.compat.v2 as tf import tensorflow_probability as tfp from tensorflow_probability.python.internal import test_util @test_util.test_all_tf_execution_regimes class PointwiseExponentialTest(test_util.TestCase): def testValuesAreCorrect(self): original_kernel = tfp.math.psd_kernels.Parabolic() exponential_kernel = tfp.math.psd_kernels.PointwiseExponential( original_kernel) x1 = [[1.0]] x2 = [[2.0]] original_output = original_kernel.apply(x1, x2) exponential_output = exponential_kernel.apply(x1, x2) self.assertAllEqual( self.evaluate(tf.math.exp(original_output)), self.evaluate(exponential_output)) def testBatchShape(self): amplitude = np.random.uniform(2, 3., size=[3, 1, 2]).astype(np.float32) length_scale = np.random.uniform(2, 3., size=[1, 3, 1]).astype(np.float32) original_kernel = tfp.math.psd_kernels.GeneralizedMatern( df=np.pi, amplitude=amplitude, length_scale=length_scale) exponential_kernel = tfp.math.psd_kernels.PointwiseExponential( original_kernel) self.assertAllEqual(original_kernel.batch_shape, exponential_kernel.batch_shape) self.assertAllEqual( self.evaluate(original_kernel.batch_shape_tensor()), self.evaluate(exponential_kernel.batch_shape_tensor())) if __name__ == '__main__': test_util.main()

38.454545

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0.715839

269

2,115

5.453532

0.449814

0.066803

0.035446

0.043626

0.163599

0.092706

0

0.018519

0.157447

2,115

54

79

39.166667

0.804714

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0

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0

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1

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false

0

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0

0.225806

0

null

0

null

0

1

0

1ae49887b3b0718efa0664bc88caa2cfb2fd87dd

263

py

Python

baekjoon/1934.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

baekjoon/1934.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

baekjoon/1934.py

jiyeoun/PS

855ec59fe7844daf102fde713eab48c88cbc5419

[ "MIT" ]

null

def gcd(a, b): while b != 0: x = a % b a = b b = x return a def lcm(a, b): gcd2 = gcd(a, b) return (a * b) // gcd2 n=int(input()) for i in range(n): a,b=input().split() a=int(a) b=int(b) print(lcm(a, b))

13.842105

26

0.422053

50

263

2.22

0.38

0.162162

0.09009

0

0.018634

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263

18

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14.611111

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false

0

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0.066667

0

null

0

null

0

1

0

1ae63296d699c65a0bd047816b0e603a4cff99eb

5,841

py

Python

hplc_analysis.py

furubayashim/hplc-analysis-hitachi

d8f2b594b577032548e860b424f55241bbe72b37

[ "MIT" ]

null

hplc_analysis.py

furubayashim/hplc-analysis-hitachi

d8f2b594b577032548e860b424f55241bbe72b37

[ "MIT" ]

null

hplc_analysis.py

furubayashim/hplc-analysis-hitachi

d8f2b594b577032548e860b424f55241bbe72b37

[ "MIT" ]

null

#!/usr/bin/env python # script to draw PDA chromatogram & spectrum figure using Hitachi HPLC Chromaster stx/ctx files import pandas as pd import numpy as np import glob import os import sys import matplotlib.pyplot as plt # change this if using different user/folder data_dir = "raw/" # can give sample name file as argv if len(sys.argv) >1: samplenamefile = sys.argv[1] else: samplenamefile = 'sampletable.xlsx' sample_df = pd.read_excel(samplenamefile) ### load parameter from the xls file #################################### sample_nos = [str(s) for s in sample_df['sample no'].values] sample_names = sample_df['name'].values sample_dir = sorted([f+'/' for f in os.listdir(data_dir) if not os.path.isfile(f)],key=lambda x:int(x[:-1])) # Time range (x axis) start_time = 2 end_time = 18 if 'start time' in sample_df.columns: start_time = sample_df['start time'].values[0] if 'end time' in sample_df.columns: end_time = sample_df['end time'].values[0] # which chart to draw all_chromato = sample_df['all chromato'].values[0] each_data = sample_df['each data'].values[0] # output folder and name if not os.path.exists('processed'): os.mkdir('processed') output_name = 'all_chromato' if 'output name' in sample_df.columns: output_name = sample_df['output name'].values[0] ### draw chromato for all samples in one fig ############################ if all_chromato == 'y': ctx_files = sorted(glob.glob(data_dir+'*/*.ctx'),key=lambda x: (int(x.split('/')[1]),int(x.split('/')[2][:-4]))) #ごちゃごちゃ chromato_dfs = [pd.read_csv(file,skiprows=38,delimiter=';',header=None,names=[sample_names[n],'NaN']).iloc[:,:1] for n,file in enumerate(ctx_files)] chromato_df = pd.concat(chromato_dfs,axis=1) chromato_df_cut = chromato_df.loc[start_time:end_time] fig,axes = plt.subplots(1,2,figsize=[10,8]) for n,(name,col) in enumerate(chromato_df_cut.iteritems()): time = chromato_df_cut.index.values abs = col.values - 0.1 * n axes[0].plot(time,abs,label=name) axes[0].legend() axes[0].set_ylabel('Absorbance') axes[0].set_xlabel('Time (min)') #axes[0].set_ylim([-0.45,0.1]) axes[0].set_xlim([start_time,end_time]) axes[0].set_title('Height as it is') for n,(name,col) in enumerate(chromato_df_cut.iteritems()): abs = col.values / np.nanmax(col.values) - 1.1 * n time = chromato_df_cut.index.values axes[1].plot(time,abs,label=name) axes[1].legend() axes[1].set_ylabel('Absorbance (Normalized)') axes[1].set_xlabel('Time (min)') #axes[1].set_ylim([-0.45,1]) axes[1].set_xlim([start_time,end_time]) axes[1].set_title('Height Normalized') plt.savefig("processed/{}.pdf".format(output_name),bbox_inches = "tight"); ### draw chromato/spec for each sample ############################ if each_data == 'y': for sample_no,sample_name,sample_dir in zip(sample_nos,sample_names,sample_dir): # load chromato files. Can import several ctx file ctx_files = sorted(glob.glob(data_dir+sample_dir+'*.ctx')) chromato_dfs = [pd.read_csv(file,skiprows=38,delimiter=';',header=None,names=[os.path.basename(file)[:-4],'NaN']).iloc[:,:1] for file in ctx_files] chromato_df = pd.concat(chromato_dfs,axis=1) if chromato_df.index.min() < start_time: chromato_df_cut = chromato_df.loc[start_time:] else: chromato_df_cut = chromato_df if chromato_df_cut.index.max() > end_time: chromato_df_cut = chromato_df_cut.loc[:end_time] # load stx files stx_files = sorted(glob.glob(data_dir+sample_dir+'*.stx'),key=lambda x: float(os.path.basename(x[:-4]))) stx_dfs = [pd.read_csv(f,delimiter=';',skiprows=44).iloc[:,:1] for f in stx_files] stx_df = pd.concat(stx_dfs,axis=1) # stx_df is the dataframe of the abs spectrum of each peak. # index = 200-650 (nm) # column name = str of time (min) stx_df_cut = stx_df.loc[250:600] # select 250-600 nm # draw figure fig = plt.figure(figsize=[6,16]) # draw chromatogram ymax = 0 ymin = 0 for name,col in chromato_df_cut.iteritems(): time = chromato_df_cut.index.values abs = col.values plt.subplot(6,1,1) #109: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance. plt.plot(time,abs,label=name) ymaxtemp = chromato_df.loc[start_time:end_time,name].values.max() ymintemp = chromato_df.loc[start_time:end_time,name].values.min() if ymaxtemp > ymax: ymax = ymaxtemp if ymintemp < ymin: ymin = ymintemp plt.legend() plt.xticks(np.arange(start_time,end_time,1)) plt.xlabel('Time (min)') plt.ylabel('Absorbance') plt.ylim([ymin + ymin*0.05,ymax + ymax*0.05]) plt.title(sample_no + '-' + sample_name) # draw abs spectrum for n,(rt,series) in enumerate(stx_df_cut.iteritems()): wavelength = series.index.values absorbance = series.values abs_max = str(int(series.idxmax())) plt.subplot(12,3,7+n) plt.plot(wavelength,absorbance,label=rt) plt.xlim([250,600]) plt.xticks(np.arange(300,700,100)) plt.ylim([series.min(),series.max()]) plt.title('{} min (λmax: {} nm)'.format(rt[:-2],abs_max)) plt.tight_layout(pad=-0.1); plt.savefig('processed/'+sample_no+'-'+sample_name+'.pdf',bbox_inches = "tight");

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349

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0.194075

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0.107973

0

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0.203732

5,841

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0

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0

1

0

false

0

0.061856

0

0.061856

0

null

0

null

0

1

0

1aeb67d97f0f649de1b16474a53ed6bd4c5ce0c0

3,445

py

Python

src/pycropml/main.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

5

2020-06-21T18:58:04.000Z

2022-01-29T21:32:28.000Z

src/pycropml/main.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

27

2018-12-04T15:35:44.000Z

2022-03-11T08:25:03.000Z

src/pycropml/main.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

7

2019-04-20T02:25:22.000Z

2021-11-04T07:52:35.000Z

# -*- coding: utf-8 -*- """ Created on Tue Mar 19 22:59:23 2019 @author: pradal """ # coding: utf8 from __future__ import absolute_import from __future__ import print_function import sys import os from optparse import OptionParser from path import Path from pycropml.cyml import transpile_file, transpile_package, transpile_component from pycropml.transpiler.main import languages def main(): usage = """Usage: %prog [options] package language1 [languages] cyml transpiler translate a cyml source code or a Crop2ML package with algo in cyml language to target language. Example cyml <source_code.pyx or pkg> <target_language> * target language must be: py for python cs for csharp f90 for fortran java for java simplace for simplace sirius for sirius openAlea cpp for C++ r """ #TODO todo = """ * target language must be: py for python cs for csharp cpp for c++ f90 for fortran java for java r for R simplace for simplace sirius for sirius """ parser = OptionParser(usage=usage) parser.add_option("-f", "--file", dest="file", metavar="FILE", help="cyml source code FILE to transpile") parser.add_option("-p", "--package", dest="package", help="package directory containing a crop2ml directory with algorithms.") parser.add_option("-c", "--component", dest="component", help="framework model component directory") parser.add_option("-l", "--languages", dest="languages", action="append", choices=languages, help="Target languages : "+','.join(languages)) (opts, args)= parser.parse_args() sourcef = None pyx_filename = None package = None component = None newpackage = None langs = [] if len(parser.option_list) + len(args) < 2: parser.error("incorrect number of arguments") if opts.file: sourcef = pyx_filename = opts.file elif opts.package: sourcef = package = opts.package elif opts.component: sourcef = component = opts.component else: sourcef = args[0] sourcef = Path(sourcef) if not sourcef.exists(): parser.error("Package or file does not exists") if opts.languages: langs = opts.languages else: if opts.component: newpackage = args[0] args = args[1:] langs = [a for a in args if a in languages] fail = False for arg in args: if arg == sourcef: continue if arg not in languages: parser.error("%s is not a supported language"%arg) fail = True if fail: return if not langs: parser.error("No language has been specified") print(parser.usage) return if pyx_filename or len(sourcef.split(".")) == 2: # translate from cyml code if sourcef.split(".")[1] != "pyx": parser.error("Source code %s is not a Cyml file (.pyx estension) "%(str(sourcef))) return for language in langs: status = transpile_file(sourcef, language) elif package: for language in langs: status = transpile_package(sourcef, language) else: for language in langs: status = transpile_component(sourcef,newpackage,language) if __name__ == '__main__': main()

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0.02

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null

0

null

0

1

0

1aef95bf283d7fd58b467eb0379f7cc4a2f9650c

1,051

py

Python

Yotube Downloader.py

vishal8888a8/GUI-youtube-downloader

f1454da9534e4f40e84258b9600c0fe82cd0c39f

[ "MIT" ]

null

Yotube Downloader.py

vishal8888a8/GUI-youtube-downloader

f1454da9534e4f40e84258b9600c0fe82cd0c39f

[ "MIT" ]

1

2021-10-01T07:14:36.000Z

Yotube Downloader.py

vishal8888a8/GUI-youtube-downloader

f1454da9534e4f40e84258b9600c0fe82cd0c39f

[ "MIT" ]

null

from pytube import YouTube from tkinter import * #main download part def download(link): obj = YouTube(link) dl = obj.streams.get_highest_resolution() print("Downloading in proccess") dl.download() print("Downloading completed!") #getting the link as string def get_class(): link=ent.get() download(link) #window properties window = Tk() window.geometry("573x400") window.title("YouTube Downloader") window.configure(background="#e0db31") #logo set-up logo = PhotoImage(file="logo.png") l1 = Label(window,image=logo,bg="#962383",anchor="center").pack() #second label l2=Label(window,text="Enter Your link below!",font="times 20 bold",bg="#4640e6") l2.pack(pady=15,padx=10) #taking input from the user ent = Entry(window,textvariable = StringVar) ent.pack(padx=10, pady=14) #the enter button btn1 = Button(window, text="Click Me!", command=get_class) btn1.pack(padx=10, pady=13) #output T = Text(window, height = 5, width = 52) #end of the window loop window.mainloop()

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0.16

0.08

0

null

0

null

0

1

0

1af28adf5e0279198bbb4dfd5d10357dd6366699

693

py

Python

CTF/home.py

mark0519/CTFplatform

5f9bc555cdc0e07f9ba31165a44b206e1a2bd915

[ "MIT" ]

9

2021-09-26T04:04:52.000Z

2022-03-30T16:37:38.000Z

CTF/home.py

mark0519/CTFplatform

5f9bc555cdc0e07f9ba31165a44b206e1a2bd915

[ "MIT" ]

null

CTF/home.py

mark0519/CTFplatform

5f9bc555cdc0e07f9ba31165a44b206e1a2bd915

[ "MIT" ]

null

from flask import ( Blueprint, flash, g, redirect, render_template, request, url_for,session ) from werkzeug.exceptions import abort from CTF import login from CTF.models import user bp = Blueprint('home', __name__) @bp.route('/') def index(): if 'id' in session: is_admin = 0 if user.query.filter(user.user_id == session.get('id')).first().user_teamid == 1: #1表示是管理员 is_admin = 1 name = session.get('username') #用户名信息 return render_template('home/home.html', name=name , is_admin=is_admin) # print(session) # print("*********") return render_template('home/home.html')

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693

26

111

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0.4375

0.125

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null

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null

0

1

0

1af5bda8e49289017e6590164cdb0fa51ea9e014

690

py

Python

src/atcoder/abc126/f/sol_0.py

kagemeka/competitive-programming

c70fe481bcd518f507b885fc9234691d8ce63171

[ "MIT" ]

1

2021-07-11T03:20:10.000Z

src/atcoder/abc126/f/sol_0.py

kagemeka/competitive-programming

c70fe481bcd518f507b885fc9234691d8ce63171

[ "MIT" ]

39

2021-07-10T05:21:09.000Z

2021-12-15T06:10:12.000Z

src/atcoder/abc126/f/sol_0.py

kagemeka/competitive-programming

c70fe481bcd518f507b885fc9234691d8ce63171

[ "MIT" ]

null

r"""Note. \forall{n \le 2}\ \xor_{i=0}^{2^n-1}{i} = 0 \xor_{0 \le i \lt 2^n, i \neq k (0 \le k \lt 2^n)}{i} = k """ import typing import sys # import numpy as np # import numba as nb def main() -> typing.NoReturn: m, k = map(int, input().split()) n = pow(2, m) if k >= n or m == k == 1: print(-1) return if m == 1: print(0, 0, 1, 1) return a = [-1] * (n << 1) ptr = 0 for i in range(n): if i == k: continue a[ptr] = i ptr += 1 a[ptr] = k ptr += 1 for i in range(n - 1, -1, -1): if i == k: continue a[ptr] = i ptr += 1 a[-1] = k print(*a) main()

18.157895

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0.185185

0.111111

0

null

0

null

0

1

0

1af8dccc6477e942a760e2ea57872e651c435eaf

6,750

py

Python

entities/views.py

gve-sw/UserFeedbackSampleWebexTeamsBot

01f62826a559cb47a6417bd677ab874e16bd41de

[ "RSA-MD" ]

1

2021-08-05T21:51:03.000Z

entities/views.py

gve-sw/UserFeedbackSampleWebexTeamsBot

01f62826a559cb47a6417bd677ab874e16bd41de

[ "RSA-MD" ]

6

2020-06-15T21:10:38.000Z

2021-06-04T23:26:58.000Z

entities/views.py

gve-sw/UserFeedbackSampleWebexTeamsBot

01f62826a559cb47a6417bd677ab874e16bd41de

[ "RSA-MD" ]

null

import tempfile import xlsxwriter import re from django.shortcuts import render, redirect, get_object_or_404 from django.views import View from django.conf import settings from django.http import HttpResponse from django.contrib import messages from .models import QuestionSet, Question, ReplySet, Reply, Receiver from .forms import QuestionSetModelForm, QuestionFormSet, ReceiverModelForm, AddSubscriberForm, ChannelModelForm from webexteamssdk import WebexTeamsAPI from pyadaptivecards.card import AdaptiveCard from pyadaptivecards.components import TextBlock, Choice from pyadaptivecards.inputs import Text, Choices # Create your views here. def get_card_from_question_set(qs): body = [] intro = TextBlock(f"## {qs.name}") body.append(intro) # Create a input for each of the questions for q in qs.questions.all(): input_id = f"{qs.id}#{q.id}" label = TextBlock(f"**{q.text}**") body.append(label) if q.question_type == Question.TYPE_TEXT: field = Text(input_id) body.append(field) elif q.question_type == Question.TYPE_MC: string_choices = re.search(r'$(.*?)$', q.text).group(1).split(",") choices = [] for str_choice in string_choices: c = Choice(str_choice, str_choice) choices.append(c) field = Choices(choices, input_id) body.append(field) submit_action = { 'type': "Action.Submit", 'title': "Send Survey", 'data': { 'question_set': str(qs.id) } } card = AdaptiveCard(body=body, actions=[]) ret = card.to_dict() ret['actions'].append(submit_action) return ret class UserView(View): def get(self, request): ctx = { 'receiver': Receiver.objects.all(), 'receiver_form': ReceiverModelForm(), 'add_subscriber_form': AddSubscriberForm(), 'add_channel_form': ChannelModelForm() } return render(request, 'entities/create_user.html', context=ctx) def post(self, request): form = ReceiverModelForm(request.POST) if form.is_valid(): obj = form.save() obj.save() return redirect('users') class CreateChannelView(View): def post(self, request): f = ChannelModelForm(request.POST) if f.is_valid(): obj = f.save() obj.save() messages.add_message(request, messages.SUCCESS, "Channel successfully created!") return redirect('users') class CreateSubscriptionView(View): def post(self, request): f = AddSubscriberForm(request.POST) if f.is_valid(): c = f.cleaned_data['channel'] for r in f.cleaned_data['receivers']: c.receiver.add(r) return redirect('users') class ListQuestionSetView(View): def get(self, request): ctx = { 'question_sets': QuestionSet.objects.all() } return render(request, "entities/list_questionsets.html", context=ctx) class ReportView(View): def get(self, request, question_set_id): qs = get_object_or_404(QuestionSet, pk=question_set_id) # Get replies reply_sets = ReplySet.objects.filter(question_set=qs) ctx = { 'question_set': qs, 'reply_sets': reply_sets } return render(request, "entities/report.html", context=ctx) class DownloadReportView(View): def get(self, request, question_set_id): qs = get_object_or_404(QuestionSet, pk=question_set_id) reply_sets = ReplySet.objects.filter(question_set=qs) with tempfile.NamedTemporaryFile(suffix='.xlsx') as temp: workbook = xlsxwriter.Workbook(temp.name) worksheet = workbook.add_worksheet() bold = workbook.add_format({'bold': True}) # Add excel header worksheet.write(0, 0, "Replier", bold) col = 1 for q in qs.questions.all(): worksheet.write(0, col, q.text, bold) col += 1 row = 1 for rs in reply_sets: worksheet.write(row, 0, str(rs.receiver)) col = 1 for q in qs.questions.all(): for r in rs.replies.all(): if r.question == q: worksheet.write(row, col, r.text) col += 1 row += 1 workbook.close() temp.flush() resp = HttpResponse(temp.read(), content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') file_name = self.__sanitize_name(qs.name) resp['Content-Disposition'] = f"attachment; filename={file_name}.xlsx" return resp def __sanitize_name(self, name): return str(name).replace(" ", "_").lower() class SendQuestionSetView(View): def get(self, request, question_set_id): qs = get_object_or_404(QuestionSet, pk=question_set_id) # Get unique list of people to send message to to = set() for c in qs.channel.all(): for r in c.receiver.all(): to.add(r.mail) # Create card card = get_card_from_question_set(qs) attachment = { "contentType": "application/vnd.microsoft.card.adaptive", "content": card } # Send card to everyone in to list api = WebexTeamsAPI(access_token=settings.WEBEX_ACCESS_TOKEN) for mail in to: api.messages.create(toPersonEmail=mail, markdown="Card. View on desktop", attachments=[attachment,]) qs.was_send = True qs.save() return redirect('questions') class CreateQuestionSetView(View): def get(self, request): ctx = { 'question_set_form': QuestionSetModelForm(), 'questions_form_set': QuestionFormSet(queryset=Question.objects.none()) } return render(request, "entities/create_question.html", context=ctx) def post(self, request): qsf = QuestionSetModelForm(request.POST) questions_form_set = QuestionFormSet(request.POST) if qsf.is_valid() and questions_form_set.is_valid(): qs = qsf.save() # Save all questions for qf in questions_form_set: q = qf.save() qs.questions.add(q) qs.save() return redirect('create.question') else: return HttpResponse(qsf.errors)

29.220779

126

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6,750

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0.258412

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6,750

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null

0

null

0

1

0

1afa4f92d9ead6a0daa884c3ac378f4d63bb1ab1

4,256

py

Python

utils/pyart.py

terry97-guel/POENet-MultiTracking

f5a1bf99749c62cdbce50f1e2997a2b3cf32e749

[ "MIT" ]

null

utils/pyart.py

terry97-guel/POENet-MultiTracking

f5a1bf99749c62cdbce50f1e2997a2b3cf32e749

[ "MIT" ]

null

utils/pyart.py

terry97-guel/POENet-MultiTracking

f5a1bf99749c62cdbce50f1e2997a2b3cf32e749

[ "MIT" ]

null

import torch # def expm(vector): # if vector.shape[0] == 6: # return to_SE3(vector) # if vector.shape[0] == 4: # return to_SO3(vector) def t2pr(t): p = t[:,0:3,3] r = t[:,0:3,0:3] return (p,r) def t2p(t): device = t.device p = t[:,0:3,3] return p def pr2x(p,r): device = p.device X = torch.zeros(p.size()[0],6,6,dtype=torch.float).to(device) E = torch.transpose(r,1,2) X[:,:3,:3] = E X[:,3:,:3] = -torch.matmul(E,skew(p)) X[:,3:,3:] = E return X def t2x(t): (p,r) = t2pr(t) X = pr2x(p,r) return X def pr2t(p,r): device = p.device T = torch.zeros(p.size()[0],4,4,dtype=torch.float).to(device) T[:,0:3,0:3] = r[:] T[:,0:3,3] = p[:] T[:,3,3] = 1 return T def skew(p): device = p.device skew_p = torch.zeros(p.size()[0],3,3,dtype=torch.float).to(device) zero = torch.zeros(p.size()[0],dtype=torch.float).to(device) skew_p[:,0,:] = torch.vstack([zero, -p[:,2], p[:,1]]).transpose(0,1) skew_p[:,1,:] = torch.vstack([p[:,2], zero, -p[:,0]]).transpose(0,1) skew_p[:,2,:] = torch.vstack([-p[:,1], p[:,0],zero]).transpose(0,1) return skew_p def rpy2r(rpy): device = rpy.device R = torch.zeros(rpy.size()[0],3,3,dtype=torch.float).to(device) r = rpy[:,0] p = rpy[:,1] y = rpy[:,2] R[:,0,:] = torch.vstack([ torch.cos(y)*torch.cos(p), -torch.sin(y)*torch.cos(r) + torch.cos(y)*torch.sin(p)*torch.sin(r), torch.sin(y)*torch.sin(r)+torch.cos(y)*torch.sin(p)*torch.cos(r) ]).transpose(0,1) R[:,1,:] = torch.vstack([ torch.sin(y)*torch.cos(p), torch.cos(y)*torch.cos(r) + torch.sin(y)*torch.sin(p)*torch.sin(r), -torch.cos(y)*torch.sin(r)+torch.sin(y)*torch.sin(p)*torch.cos(r) ]).transpose(0,1) R[:,2,:] = torch.vstack([ -torch.sin(p), torch.cos(p)*torch.sin(r), torch.cos(p)*torch.cos(r) ]).transpose(0,1) return R def inv_x(x): device = x.device invX = torch.zeros(x.size()[0],6,6,dtype=torch.float).to(device) E = x[:,:3,:3] temp = x[:,3:,:3] invX[:,:3,:3] = torch.transpose(E,1,2) invX[:,:3,3:] = torch.zeros(x.size()[0],3,3).to(device) invX[:,3:,:3] = torch.transpose(temp,1,2) invX[:,3:,3:] = torch.transpose(E,1,2) return invX def srodrigues(twist, q_value, verbose =False): #number of set of twist is one & number of q_value is n_joint eps = 1e-10 device = twist.device batch_size = q_value.size(0) T = torch.zeros(batch_size,4,4,dtype=torch.float).to(device) #number of joint w = twist[:3] v = twist[3:] theta = w.norm(dim=0) if theta.item() < eps: theta = v.norm(dim=0) q_value = q_value * theta w = w/theta v = v/theta w_skew = skew(w.unsqueeze(0)).squeeze(0) # print("q_value:", q_value.device) # print("w:", w.device) # print("(1-torch.cos(q_value):", (1-torch.cos(q_value)).device) # print("w_skew @ v:", (w_skew @ v).device) T[:,:3,:3] = rodrigues(w, q_value) T[:,:3,3] = torch.outer(q_value,v) + \ torch.outer((1-torch.cos(q_value)), w_skew @ v) + \ torch.outer(q_value-torch.sin(q_value), w_skew@w_skew@v) T[:,3,3] = 1 return T def rodrigues(w,q,verbose = False): eps = 1e-10 device = q.device batch_size = q.size()[0] if torch.norm(w) < eps: R = torch.tile(torch.eye(3),(batch_size,1,1)).to(device) return R if abs(torch.norm(w)-1) > eps: if verbose: print("Warning: [rodirgues] >> joint twist not normalized") theta = torch.norm(w) w = w/theta q = q*theta w_skew = skew(w.unsqueeze(0)).squeeze(0) R = torch.tensordot(torch.ones_like(q).unsqueeze(0), torch.eye(3).unsqueeze(0).to(device), dims=([0],[0])) \ + torch.tensordot(torch.sin(q).unsqueeze(0), w_skew.unsqueeze(0),dims = ([0],[0]))\ + torch.tensordot( (1-torch.cos(q)).unsqueeze(0), (w_skew@w_skew).unsqueeze(0), dims =([0],[0])) return R def bnum2ls(branchNum): branchLs = [] for Num in branchNum: for i in range(Num): branchLs.append(0) branchLs.append(1) return branchLs

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0.238199

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4,256

163

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26.110429

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false

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0.00885

0

null

0

null

0

1

0

1afb2889435df1e35545b9d49b108b145645f238

1,903

py

Python

dymos/transcriptions/common/timeseries_output_comp.py

yonghoonlee/dymos

602109eee4a1b061444dd2b45c7b1ed0ac1aa0f4

[ "Apache-2.0" ]

null

dymos/transcriptions/common/timeseries_output_comp.py

yonghoonlee/dymos

602109eee4a1b061444dd2b45c7b1ed0ac1aa0f4

[ "Apache-2.0" ]

9

2021-05-24T15:14:37.000Z

2021-06-28T21:12:55.000Z

dymos/transcriptions/common/timeseries_output_comp.py

yonghoonlee/dymos

602109eee4a1b061444dd2b45c7b1ed0ac1aa0f4

[ "Apache-2.0" ]

null

import openmdao.api as om from ...transcriptions.grid_data import GridData from ...options import options as dymos_options class TimeseriesOutputCompBase(om.ExplicitComponent): """ Class definition of the TimeseriesOutputCompBase. TimeseriesOutputComp collects variable values from the phase and provides them in chronological order as outputs. Some phase types don't internally have access to a contiguous array of all values of a given variable in the phase. For instance, the GaussLobatto pseudospectral has separate arrays of variable values at discretization and collocation nodes. These values need to be interleaved to provide a time series. Pseudospectral techniques provide timeseries data at 'all' nodes, while ExplicitPhase provides values at the step boundaries. Parameters ---------- **kwargs : dict Dictionary of optional arguments. """ def __init__(self, **kwargs): super().__init__(**kwargs) self._no_check_partials = not dymos_options['include_check_partials'] def initialize(self): """ Declare component options. """ self._timeseries_outputs = [] self._vars = {} self.options.declare('input_grid_data', types=GridData, desc='Container object for grid on which inputs are provided.') self.options.declare('output_grid_data', types=GridData, allow_none=True, default=None, desc='Container object for grid on which outputs are interpolated.') self.options.declare('output_subset', types=str, default='all', desc='Name of the node subset at which outputs are desired.')

38.836735

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1,903

48

100

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