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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f3363cb0d95d7a8d90092c67699c8bf108010794 | 1,905 | py | Python | api/routes.py | elainevoice/backend | 9b5fef59001fd6c2040affc80cd5cb9690c73795 | [
"Apache-2.0"
] | 3 | 2020-12-28T16:45:56.000Z | 2021-12-18T08:38:29.000Z | api/routes.py | elainevoice/backend | 9b5fef59001fd6c2040affc80cd5cb9690c73795 | [
"Apache-2.0"
] | 1 | 2020-12-14T13:09:42.000Z | 2020-12-14T13:09:42.000Z | api/routes.py | elainevoice/backend | 9b5fef59001fd6c2040affc80cd5cb9690c73795 | [
"Apache-2.0"
] | null | null | null | from fastapi import APIRouter, File, Header, HTTPException, UploadFile
from fastapi.responses import FileResponse, HTMLResponse
from pydantic.main import List
from api import controller
from api.config import application_name
from api.models.TTS_model import TTSModel
router = APIRouter()
MAX_CHARACTERS = 550
| 28.863636 | 86 | 0.669816 |
f33897f01f860ace5277d9d6efa8513dc51da187 | 3,357 | py | Python | server.py | zhangtuxin/CMPUT404-WEB-SERVER | afd409d503c1b32e3fa142b2cb6e924f5b0018ef | [
"Apache-2.0"
] | null | null | null | server.py | zhangtuxin/CMPUT404-WEB-SERVER | afd409d503c1b32e3fa142b2cb6e924f5b0018ef | [
"Apache-2.0"
] | null | null | null | server.py | zhangtuxin/CMPUT404-WEB-SERVER | afd409d503c1b32e3fa142b2cb6e924f5b0018ef | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import SocketServer,os
# Copyright 2013 Abram Hindle, Eddie Antonio Santos
#
# 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... | 39.494118 | 148 | 0.618111 |
f3390fdf7f2b57c683fe56929f4a5884eaf1e0f7 | 22,125 | py | Python | off_django/models.py | klorophyl/openfoodfacts-django | 696e701355af9911e726c5579eacca8989f4c629 | [
"Apache-2.0"
] | 1 | 2022-02-02T19:54:34.000Z | 2022-02-02T19:54:34.000Z | off_django/models.py | klorophyl/openfoodfacts-django | 696e701355af9911e726c5579eacca8989f4c629 | [
"Apache-2.0"
] | null | null | null | off_django/models.py | klorophyl/openfoodfacts-django | 696e701355af9911e726c5579eacca8989f4c629 | [
"Apache-2.0"
] | 1 | 2021-12-27T20:40:18.000Z | 2021-12-27T20:40:18.000Z | #!/usr/bin/python
# _*_ coding: utf_8 _*_
import datetime
import logging
import openfoodfacts
from tqdm import tqdm
from django.core.exceptions import FieldDoesNotExist
from django.db import models, transaction
from .models_extensions import ListField
from .settings import DATETIME_FORMAT
from .codes_to_country imp... | 41.432584 | 107 | 0.700475 |
f339a807e3723d74dbde7cf96ca0b74587cac911 | 285 | py | Python | day01/ex04/test.py | d-r-e/Machine-Learning-Bootcamp | 618cad97c04d15fec6e8a371c526ad8e08cae35a | [
"MIT"
] | null | null | null | day01/ex04/test.py | d-r-e/Machine-Learning-Bootcamp | 618cad97c04d15fec6e8a371c526ad8e08cae35a | [
"MIT"
] | 6 | 2021-05-25T08:51:39.000Z | 2021-05-25T08:51:40.000Z | day01/ex04/test.py | d-r-e/Python-Bootcamp-42AI | 618cad97c04d15fec6e8a371c526ad8e08cae35a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from eval import Evaluator
if __name__ == '__main__':
main()
| 23.75 | 51 | 0.642105 |
f33b3b4d842cf4b0a3b2d2d3201e9d9742676ddb | 2,853 | py | Python | tools/deploy/term_backend/nrf.py | giovannistanco/iot-trust-task-alloc | 47e0c8186db32ecd563241d05ebdaaf23713a83f | [
"MIT"
] | null | null | null | tools/deploy/term_backend/nrf.py | giovannistanco/iot-trust-task-alloc | 47e0c8186db32ecd563241d05ebdaaf23713a83f | [
"MIT"
] | null | null | null | tools/deploy/term_backend/nrf.py | giovannistanco/iot-trust-task-alloc | 47e0c8186db32ecd563241d05ebdaaf23713a83f | [
"MIT"
] | null | null | null | import time
import threading
import sys
import pynrfjprog.HighLevel
import pynrfjprog.APIError
DEFAULT_BLOCK_SIZE = 1024
SECONDS_PER_READ = 0.010
SECONDS_PER_WRITE = 0.010
| 32.05618 | 88 | 0.552401 |
f33b5064310e224ae603a224f1c08afbe8fe1fd6 | 3,068 | py | Python | tests/test_elements.py | janosh/ml-matrics | 93c3eeb74ad316e07628e3b2a462f693498e6a33 | [
"MIT"
] | 11 | 2021-07-12T02:12:02.000Z | 2022-02-14T19:06:22.000Z | tests/test_elements.py | janosh/ml-matrics | 93c3eeb74ad316e07628e3b2a462f693498e6a33 | [
"MIT"
] | 7 | 2021-10-14T10:00:01.000Z | 2022-03-01T21:09:30.000Z | tests/test_elements.py | janosh/mlmatrics | 93c3eeb74ad316e07628e3b2a462f693498e6a33 | [
"MIT"
] | 2 | 2021-10-01T10:00:50.000Z | 2022-02-12T08:50:22.000Z | import pandas as pd
import pytest
from matplotlib.axes import Axes
from plotly.graph_objects import Figure
from ml_matrics import (
count_elements,
hist_elemental_prevalence,
ptable_heatmap,
ptable_heatmap_plotly,
ptable_heatmap_ratio,
)
compositions_1 = pd.read_csv("data/mp-n_elements<2.csv").fo... | 30.989899 | 87 | 0.754889 |
f33bb25fe61367d04cbf0cfd08ba517964a6833f | 239 | py | Python | app/wrapper/utils.py | Sirius-social/TMTM | 5b4d426e358fc9fd6cff7ec84861c0388d3785ce | [
"Apache-2.0"
] | null | null | null | app/wrapper/utils.py | Sirius-social/TMTM | 5b4d426e358fc9fd6cff7ec84861c0388d3785ce | [
"Apache-2.0"
] | null | null | null | app/wrapper/utils.py | Sirius-social/TMTM | 5b4d426e358fc9fd6cff7ec84861c0388d3785ce | [
"Apache-2.0"
] | null | null | null | import hashlib
from django.conf import settings
| 23.9 | 62 | 0.732218 |
f33c3ab0adbea1c960c88092e131df7a1b774872 | 7,103 | py | Python | MUSim_make_figures.py | ericcfields/MUSim | 3c7dcf71964fda67544800ed5f57e570fca2655d | [
"BSD-3-Clause"
] | null | null | null | MUSim_make_figures.py | ericcfields/MUSim | 3c7dcf71964fda67544800ed5f57e570fca2655d | [
"BSD-3-Clause"
] | 1 | 2019-08-31T21:47:26.000Z | 2019-08-31T21:47:26.000Z | MUSim_make_figures.py | ericcfields/MUSim | 3c7dcf71964fda67544800ed5f57e570fca2655d | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Make figures for MUSim paper
AUTHOR: Eric Fields
VERSION DATE: 26 June 2019
"""
import os
from os.path import join
import numpy as np
import pandas as pd
from statsmodels.stats.proportion import proportion_confint
import matplotlib.pyplot as plt
def binom_ci_precision(pro... | 38.188172 | 113 | 0.560749 |
f33cc042888520918896e0430cf4cdd6032e3352 | 3,364 | py | Python | train.py | zeochoy/RNASeq_CollaborativeFilter | 72066b29eaa4e5480d796ad57c249fd0058cc696 | [
"MIT"
] | 16 | 2019-04-04T22:31:12.000Z | 2022-03-27T14:37:33.000Z | train.py | zeochoy/RNASeq_CollaborativeFilter | 72066b29eaa4e5480d796ad57c249fd0058cc696 | [
"MIT"
] | null | null | null | train.py | zeochoy/RNASeq_CollaborativeFilter | 72066b29eaa4e5480d796ad57c249fd0058cc696 | [
"MIT"
] | 5 | 2018-11-06T09:11:13.000Z | 2021-02-10T13:50:00.000Z | from __future__ import print_function
from argparse import ArgumentParser
from fastai.learner import *
from fastai.column_data import *
import numpy as np
import pandas as pd
if __name__ == '__main__':
main()
| 35.041667 | 153 | 0.681332 |
f33d3bd029f3e85a817ccb3908d36449089ade03 | 691 | py | Python | pyning/tail_recursion/fibonacci_test.py | rkoyanagui/pyning | 3e8905e240d2554f217f168c48c9edeba8658dec | [
"Apache-2.0"
] | null | null | null | pyning/tail_recursion/fibonacci_test.py | rkoyanagui/pyning | 3e8905e240d2554f217f168c48c9edeba8658dec | [
"Apache-2.0"
] | null | null | null | pyning/tail_recursion/fibonacci_test.py | rkoyanagui/pyning | 3e8905e240d2554f217f168c48c9edeba8658dec | [
"Apache-2.0"
] | null | null | null | import unittest
from pyning.tail_recursion.fibonacci import naive_fib
from pyning.utils.testutils import BaseTest
if __name__ == '__main__':
unittest.main()
| 20.939394 | 53 | 0.646889 |
f33f047bd701a9285f93e58c03fcab26e4518b30 | 25 | py | Python | test/json/des/__init__.py | vincent-musedev/libacvp | b11247d9d0b2fbd88954358272a43d35c059be7b | [
"BSD-2-Clause",
"Apache-2.0"
] | 45 | 2016-08-01T11:47:34.000Z | 2022-02-22T21:27:27.000Z | test/json/des/__init__.py | vincent-musedev/libacvp | b11247d9d0b2fbd88954358272a43d35c059be7b | [
"BSD-2-Clause",
"Apache-2.0"
] | 221 | 2016-08-04T17:10:36.000Z | 2022-01-21T19:53:36.000Z | test/json/des/__init__.py | vincent-musedev/libacvp | b11247d9d0b2fbd88954358272a43d35c059be7b | [
"BSD-2-Clause",
"Apache-2.0"
] | 94 | 2016-10-23T11:08:19.000Z | 2022-01-21T11:50:16.000Z | from .des import main_des | 25 | 25 | 0.84 |
f340cb596921e5050e8fd921f0453c58f3a6bf7a | 607 | py | Python | config/config_example1_singleton.py | orest-d/design-patterns-finance | 5878912dfa5b34925b00c38da978e7b9e4735a14 | [
"CC0-1.0"
] | null | null | null | config/config_example1_singleton.py | orest-d/design-patterns-finance | 5878912dfa5b34925b00c38da978e7b9e4735a14 | [
"CC0-1.0"
] | null | null | null | config/config_example1_singleton.py | orest-d/design-patterns-finance | 5878912dfa5b34925b00c38da978e7b9e4735a14 | [
"CC0-1.0"
] | null | null | null |
s = Config()
print (s)
s = Config.get_instance()
print (s, id(s))
s = Config.get_instance()
print (s, id(s)) | 22.481481 | 92 | 0.594728 |
f3436f7a9fc684a11402ed73af31d4c502f05580 | 9,023 | py | Python | pyworkforce/shifts/tests/test_shifts.py | rodrigo-arenas/pyworkforce | f3986ebbc3c48a8ae08dc04dfb939ac6a9516233 | [
"MIT"
] | 10 | 2021-03-20T02:58:52.000Z | 2022-03-28T05:58:56.000Z | pyworkforce/shifts/tests/test_shifts.py | rodrigo-arenas/pyworkforce | f3986ebbc3c48a8ae08dc04dfb939ac6a9516233 | [
"MIT"
] | 3 | 2021-03-13T02:11:39.000Z | 2021-04-08T01:27:36.000Z | pyworkforce/shifts/tests/test_shifts.py | rodrigo-arenas/pyworkforce | f3986ebbc3c48a8ae08dc04dfb939ac6a9516233 | [
"MIT"
] | 1 | 2022-01-04T11:06:47.000Z | 2022-01-04T11:06:47.000Z | from pyworkforce.shifts import MinAbsDifference, MinRequiredResources
import pytest
| 49.850829 | 109 | 0.477557 |
f34387e7183d544cbaf6418b121b6f24e3768081 | 2,925 | py | Python | api.py | mr-mixas/Nested-Diff-RESTful | 4407b0beaa7484d84323db659278a54d96efb696 | [
"Apache-2.0"
] | null | null | null | api.py | mr-mixas/Nested-Diff-RESTful | 4407b0beaa7484d84323db659278a54d96efb696 | [
"Apache-2.0"
] | null | null | null | api.py | mr-mixas/Nested-Diff-RESTful | 4407b0beaa7484d84323db659278a54d96efb696 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2021 Michael Samoglyadov
#
# 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 applic... | 27.336449 | 78 | 0.649231 |
f34466e2623ecc3731ee9a82d535b049123cd382 | 4,253 | py | Python | accelbyte_py_sdk/api/eventlog/__init__.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | accelbyte_py_sdk/api/eventlog/__init__.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | 1 | 2021-10-13T03:46:58.000Z | 2021-10-13T03:46:58.000Z | accelbyte_py_sdk/api/eventlog/__init__.py | AccelByte/accelbyte-python-sdk | dcd311fad111c59da828278975340fb92e0f26f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 AccelByte Inc. All Rights Reserved.
# This is licensed software from AccelByte Inc, for limitations
# and restrictions contact your company contract manager.
#
# Code generated. DO NOT EDIT!
# template file: justice_py_sdk_codegen/__main__.py
"""Auto-generated package that contains models used b... | 47.255556 | 88 | 0.894663 |
f344faaed6efdb55380a728e18b9884b9e5e2388 | 639 | py | Python | cisco_umbrella_enforcement/setup.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | cisco_umbrella_enforcement/setup.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | cisco_umbrella_enforcement/setup.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
from setuptools import setup, find_packages
setup(name='cisco_umbrella_enforcement-rapid7-plugin',
version='1.0.0',
description='Cisco Umbrella Enforcement give technology partners the ability to send security events from their platform/service/appliance within a cu... | 42.6 | 220 | 0.733959 |
f34959f0169dcb486cb4bef10086593c4a815fed | 628 | py | Python | auth0login/migrations/0001_initial.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | auth0login/migrations/0001_initial.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | auth0login/migrations/0001_initial.py | nkawa/vimeo-coursetool | 729215fe23b1bf05918a38d21e585a7b8862e75a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.8 on 2021-10-10 14:32
from django.db import migrations, models
| 26.166667 | 117 | 0.58121 |
f34c2978a8d9484314e28561848de83a6cbbfe3f | 7,241 | py | Python | s3_test_model.py | BillChan226/In-Field-Crop-Disease-Regnition-via-Domain-Adaptation | 4500e7149a51eab66778471750b84b09d415e578 | [
"MIT"
] | 1 | 2021-12-23T17:56:22.000Z | 2021-12-23T17:56:22.000Z | s3_test_model.py | BillChan226/In-Field-Crop-Disease-Regnition-via-Domain-Adaptation | 4500e7149a51eab66778471750b84b09d415e578 | [
"MIT"
] | null | null | null | s3_test_model.py | BillChan226/In-Field-Crop-Disease-Regnition-via-Domain-Adaptation | 4500e7149a51eab66778471750b84b09d415e578 | [
"MIT"
] | null | null | null | # %%
import matplotlib.pyplot as plt
import numpy as np
import sklearn
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from model.inceptionv4 import inceptionv4
from model.mobilenetv2 import mobilenetv2
from model.resnet import resnet18
from model.shufflenetv2 imp... | 31.898678 | 74 | 0.628228 |
f3509ac1a46b83c1515e0c359aea025cc6d03375 | 3,996 | py | Python | menu.py | bkaganozkan/Difference | 725a3e74dd620c2f646825aa60ac715833ec6857 | [
"MIT"
] | null | null | null | menu.py | bkaganozkan/Difference | 725a3e74dd620c2f646825aa60ac715833ec6857 | [
"MIT"
] | null | null | null | menu.py | bkaganozkan/Difference | 725a3e74dd620c2f646825aa60ac715833ec6857 | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtGui import QPainter, QColor, QSyntaxHighlighter, QTextCharFormat
from PyQt5.QtWidgets import QMainWindow, QApplication, QPushButton, QToolTip, QWidget, QLabel
from PyQt5.QtWidgets import QFileDialog, QTextEdit
from highlighter import Highlighter
# SubWindow Class
... | 26.463576 | 94 | 0.593093 |
f350b79d3a3986015ca3232bfcbeaee0d5fcd69f | 6,501 | py | Python | syft_proto/execution/v1/protocol_pb2.py | karlhigley/syft-proto | f7c926ce26f7551b7ab430fcab9c204819845396 | [
"Apache-2.0"
] | null | null | null | syft_proto/execution/v1/protocol_pb2.py | karlhigley/syft-proto | f7c926ce26f7551b7ab430fcab9c204819845396 | [
"Apache-2.0"
] | null | null | null | syft_proto/execution/v1/protocol_pb2.py | karlhigley/syft-proto | f7c926ce26f7551b7ab430fcab9c204819845396 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: syft_proto/execution/v1/protocol.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import sym... | 43.05298 | 727 | 0.76219 |
f351beee33294314503ee751e48a72f851b330e8 | 3,747 | py | Python | ndn_python_repo/clients/delete.py | daniel-achee/ndn-python-repo-replication | 87b5aadd79d7b06e8d87df08baf0affe0369e008 | [
"Apache-2.0"
] | null | null | null | ndn_python_repo/clients/delete.py | daniel-achee/ndn-python-repo-replication | 87b5aadd79d7b06e8d87df08baf0affe0369e008 | [
"Apache-2.0"
] | null | null | null | ndn_python_repo/clients/delete.py | daniel-achee/ndn-python-repo-replication | 87b5aadd79d7b06e8d87df08baf0affe0369e008 | [
"Apache-2.0"
] | null | null | null | # -----------------------------------------------------------------------------
# NDN Repo delete client.
#
# @Author jonnykong@cs.ucla.edu
# @Date 2019-09-26
# -----------------------------------------------------------------------------
import os
import sys
sys.path.insert(1, os.path.join(sys.path[0], '..'))
impo... | 39.861702 | 97 | 0.613558 |
f351c677fbd55b35040364f1c638b44dd7ef0b32 | 1,291 | py | Python | watchmate_v2.0.1/app/models.py | rroy11705/Rest_API_With_Django | 6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60 | [
"CNRI-Python"
] | null | null | null | watchmate_v2.0.1/app/models.py | rroy11705/Rest_API_With_Django | 6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60 | [
"CNRI-Python"
] | null | null | null | watchmate_v2.0.1/app/models.py | rroy11705/Rest_API_With_Django | 6a75db2e2c3913ec9afc1cbfef67a5c9fd655e60 | [
"CNRI-Python"
] | null | null | null | from django.db import models
from django.core.validators import MinValueValidator, MaxValueValidator
from django.contrib.auth.models import User
| 33.973684 | 94 | 0.749032 |
f351d6d450e1d175828af0a3c364b01689cdf89d | 1,998 | py | Python | junk-test/junk-cable.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | junk-test/junk-cable.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | junk-test/junk-cable.py | SanjibSarkarU/EDRC | c2408fad8b007b4709ee91caf173f98612afadb1 | [
"Apache-2.0"
] | null | null | null | import threading
import datetime
import serial
import functions
from queue import Queue
rf_port = 'COM4'
ser_rf = serial.Serial(rf_port, baudrate=9600, bytesize=8, parity='N', stopbits=1, timeout=1, xonxoff=0)
iver = '3089'
send_through_rf_every = 2
def read_rf():
"""Read RF port"""
ser_rf.reset_input_bu... | 37 | 107 | 0.560561 |
f3524d7786f294f680962dddd5beb46c86fd8c5e | 15,143 | py | Python | experiments.py | joshsanz/learned_uncertainty | 2103126105dbe44cfe75fc22291ba669c1a162f3 | [
"MIT"
] | null | null | null | experiments.py | joshsanz/learned_uncertainty | 2103126105dbe44cfe75fc22291ba669c1a162f3 | [
"MIT"
] | null | null | null | experiments.py | joshsanz/learned_uncertainty | 2103126105dbe44cfe75fc22291ba669c1a162f3 | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('tkagg')
from matplotlib import pyplot as plt
plt.rc('figure', figsize=[10, 6])
import time
from data_models import *
from prediction_models import *
from control_models import *
if __name__ == "__main__":
run_simple_gaussian_experiments(params={'gamma': 1,
... | 44.801775 | 111 | 0.606947 |
f3539262cba46ff60c76205e56634f13ca25de23 | 190 | py | Python | Python 201/enumeration.py | PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework | 402b35d4739ed91e50d6c3380cab6f085a46c52b | [
"MIT"
] | 3 | 2021-07-09T01:24:20.000Z | 2022-03-24T06:30:19.000Z | Python 201/enumeration.py | PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework | 402b35d4739ed91e50d6c3380cab6f085a46c52b | [
"MIT"
] | null | null | null | Python 201/enumeration.py | PacktPublishing/The-Complete-Python-Course-including-Django-Web-Framework | 402b35d4739ed91e50d6c3380cab6f085a46c52b | [
"MIT"
] | 3 | 2021-07-01T21:52:53.000Z | 2021-09-02T08:54:23.000Z | animals = ["Gully", "Rhubarb", "Zephyr", "Henry"]
for index, animal in enumerate(animals):
# if index % 2 == 0:
# continue
# print(animal)
print(f"{index+1}.\t{animal}")
| 27.142857 | 49 | 0.573684 |
f3581d9401d2f5345ec7ef679035930fcff3d232 | 2,548 | py | Python | openpeerpower/components/rituals_perfume_genie/__init__.py | pcaston/core | e74d946cef7a9d4e232ae9e0ba150d18018cfe33 | [
"Apache-2.0"
] | 1 | 2021-07-08T20:09:55.000Z | 2021-07-08T20:09:55.000Z | openpeerpower/components/rituals_perfume_genie/__init__.py | pcaston/core | e74d946cef7a9d4e232ae9e0ba150d18018cfe33 | [
"Apache-2.0"
] | 47 | 2021-02-21T23:43:07.000Z | 2022-03-31T06:07:10.000Z | openpeerpower/components/rituals_perfume_genie/__init__.py | OpenPeerPower/core | f673dfac9f2d0c48fa30af37b0a99df9dd6640ee | [
"Apache-2.0"
] | null | null | null | """The Rituals Perfume Genie integration."""
from datetime import timedelta
import logging
import aiohttp
from pyrituals import Account, Diffuser
from openpeerpower.config_entries import ConfigEntry
from openpeerpower.core import OpenPeerPower
from openpeerpower.exceptions import ConfigEntryNotReady
from openpeerpowe... | 31.85 | 90 | 0.724097 |
f3588062eb6aef89f6985ff4837093034c99ff99 | 156 | py | Python | GwasJP/utils/__init__.py | 2waybene/GwasJP | ddd54b276655baa79556b5f10d7959099a2e3a0b | [
"BSD-3-Clause"
] | null | null | null | GwasJP/utils/__init__.py | 2waybene/GwasJP | ddd54b276655baa79556b5f10d7959099a2e3a0b | [
"BSD-3-Clause"
] | null | null | null | GwasJP/utils/__init__.py | 2waybene/GwasJP | ddd54b276655baa79556b5f10d7959099a2e3a0b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""This is utility folder that contains useful functions"""
from . import statFittings
# from .model_eval_cv_genotyped import *
| 17.333333 | 59 | 0.711538 |
f35a2617d8ce671493d1be29ba2708befda35ba4 | 4,578 | py | Python | python/dnstest/netns.py | InfrastructureServices/dnssec-trigger-testing | 76cd50736f324ecbd60d775e7054b1ca50e90dbd | [
"MIT"
] | 1 | 2017-06-01T13:46:52.000Z | 2017-06-01T13:46:52.000Z | python/dnstest/netns.py | InfrastructureServices/dnssec-trigger-testing | 76cd50736f324ecbd60d775e7054b1ca50e90dbd | [
"MIT"
] | null | null | null | python/dnstest/netns.py | InfrastructureServices/dnssec-trigger-testing | 76cd50736f324ecbd60d775e7054b1ca50e90dbd | [
"MIT"
] | null | null | null | # Network namespaces
#
# Currently best-effort functions meaning no clean up after error.
import subprocess
import re
from dnstest.error import ConfigError
def _run_ip_command(arguments):
"""
:param arguments: List of strings
:return:
"""
ret = subprocess.run(["ip"] + arguments, stdout=subproce... | 27.25 | 111 | 0.619921 |
f35a6ac3a0786559c425ea2a19ddcd546dac4596 | 14,868 | py | Python | scripts/matrixlengthandisoformanalysis/raw_matrixlengthandisoformanalysis.py | serenolopezdarwin/apanalysis | 1cb6569ed1643569e558db0a7dfe70b018c6242f | [
"MIT"
] | 4 | 2021-07-21T01:07:06.000Z | 2022-03-11T00:58:06.000Z | scripts/matrixlengthandisoformanalysis/raw_matrixlengthandisoformanalysis.py | serenolopezdarwin/apanalysis | 1cb6569ed1643569e558db0a7dfe70b018c6242f | [
"MIT"
] | 1 | 2021-09-09T09:19:01.000Z | 2021-09-11T08:55:55.000Z | scripts/matrixlengthandisoformanalysis/raw_matrixlengthandisoformanalysis.py | serenolopezdarwin/apanalysis | 1cb6569ed1643569e558db0a7dfe70b018c6242f | [
"MIT"
] | null | null | null | import csv
import gzip
import numpy as np
import pickle as pkl
import sys
INPUT_FILE_PATH = ""
OVERLAP_PATH = "/net/shendure/vol1/home/sereno/projects/cell_clustering/nobackup/newannotations/data/overlapfiles/"
PAS_DATASET = ""
CELL_DATA_DICT = {}
GENE_DATA_DICT = {}
REFERENCE_PATH = ""
'''
This script is a subscri... | 44.38209 | 120 | 0.62046 |
f35ab5301440aa325869937b34d4d4a986a14ae0 | 1,367 | py | Python | 016 3Sum Closest.py | ChiFire/legend_LeetCode | 93fe97fef7e929fdbdc25fbb53955d44e14ecff8 | [
"MIT"
] | 872 | 2015-06-15T12:02:41.000Z | 2022-03-30T08:44:35.000Z | 016 3Sum Closest.py | ChiFire/legend_LeetCode | 93fe97fef7e929fdbdc25fbb53955d44e14ecff8 | [
"MIT"
] | 8 | 2015-06-21T15:11:59.000Z | 2022-02-01T11:22:34.000Z | 016 3Sum Closest.py | ChiFire/legend_LeetCode | 93fe97fef7e929fdbdc25fbb53955d44e14ecff8 | [
"MIT"
] | 328 | 2015-06-28T03:10:35.000Z | 2022-03-29T11:05:28.000Z | """
Given an array S of n integers, find three integers in S such that the sum is closest to a given number, target. Return
the sum of the three integers. You may assume that each input would have exactly one solution.
For example, given array S = {-1 2 1 -4}, and target = 1.
The sum that is closest to ... | 31.790698 | 120 | 0.512802 |
f35b1b6906f039410938832141f022b5a187af5f | 4,253 | py | Python | SENN/models.py | EdwardGuen/SENN-revisited | 41145a89214c6d978eb7c83e74c0f43007e0be4d | [
"MIT"
] | null | null | null | SENN/models.py | EdwardGuen/SENN-revisited | 41145a89214c6d978eb7c83e74c0f43007e0be4d | [
"MIT"
] | null | null | null | SENN/models.py | EdwardGuen/SENN-revisited | 41145a89214c6d978eb7c83e74c0f43007e0be4d | [
"MIT"
] | null | null | null | # torch
import torch.nn as nn
| 33.753968 | 96 | 0.648013 |
f35b95ac2f68a6d14b293d5a638873dedb57f7b1 | 1,827 | py | Python | src/pets/crud.py | nadundesilva/sample-open-telemetry | 6ca0d6e16ed3968935ab6994cc9f74abf8886140 | [
"Apache-2.0"
] | 2 | 2022-02-01T01:09:27.000Z | 2022-03-07T17:54:17.000Z | src/pets/crud.py | nadundesilva/samples-pet-store | 6ca0d6e16ed3968935ab6994cc9f74abf8886140 | [
"Apache-2.0"
] | null | null | null | src/pets/crud.py | nadundesilva/samples-pet-store | 6ca0d6e16ed3968935ab6994cc9f74abf8886140 | [
"Apache-2.0"
] | null | null | null | """Copyright (c) 2021, Nadun De Silva. 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... | 31.5 | 82 | 0.70936 |
f35be7ca6e9a9da74f2d705603c106d9b9879d68 | 1,740 | py | Python | problems/1232.py | mengshun/Leetcode | 8bb676f2fff093e1417a4bed13d9ad708149be78 | [
"MIT"
] | null | null | null | problems/1232.py | mengshun/Leetcode | 8bb676f2fff093e1417a4bed13d9ad708149be78 | [
"MIT"
] | null | null | null | problems/1232.py | mengshun/Leetcode | 8bb676f2fff093e1417a4bed13d9ad708149be78 | [
"MIT"
] | null | null | null | """
1232.
XY coordinates
coordinates[i] = [x, y] x y
true false
"""
print(checkStraightLine([[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]])) #true
print(checkStraightLine2([[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]])) #true
print(checkStraightLine([[1,1],[2,2],[3,4],[4,5],[5,6],[7,7]])) #false
print(checkStraightLine2([[1,... | 28.52459 | 98 | 0.562069 |
f35c705d9c5e14b5fe17b4f0cd432b05290071c9 | 6,651 | py | Python | test/test_utils.py | scanon/execution_engine2 | ce98b69f44fbd5353cf92cdc413080c8262a188e | [
"MIT"
] | null | null | null | test/test_utils.py | scanon/execution_engine2 | ce98b69f44fbd5353cf92cdc413080c8262a188e | [
"MIT"
] | null | null | null | test/test_utils.py | scanon/execution_engine2 | ce98b69f44fbd5353cf92cdc413080c8262a188e | [
"MIT"
] | null | null | null | from configparser import ConfigParser
import os
from dotenv import load_dotenv
import pathlib
from shutil import copyfile
from execution_engine2.db.models.models import Job, JobInput, Meta
from dateutil import parser as dateparser
import requests
import json
from datetime import datetime
from execution_engine2.exceptio... | 30.791667 | 141 | 0.62562 |
f35d58fa5075838415c7a9cbb571b937830b43fb | 999 | py | Python | tests/servers/test_tcp.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | 2 | 2020-09-02T13:46:06.000Z | 2020-10-11T16:11:02.000Z | tests/servers/test_tcp.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | null | null | null | tests/servers/test_tcp.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | 4 | 2018-10-15T07:08:34.000Z | 2019-11-26T01:52:47.000Z | # -*- coding: utf-8 -*-
import asyncio
import socket
from xTool.servers.tcp import TCPServer
| 27.75 | 67 | 0.611612 |
f35da1b1d84b79f3638ec8c0791f85ce28bc153d | 7,514 | py | Python | backend/benefit/applications/tests/factories.py | City-of-Helsinki/kesaseteli | 964f801c2dba72c4105b6e436b12b821b199d6d2 | [
"MIT"
] | 2 | 2021-05-10T09:28:35.000Z | 2021-05-17T12:15:34.000Z | backend/benefit/applications/tests/factories.py | City-of-Helsinki/yjdh | 1c07576b456d2be9c3171363450ed46de2c1bbcb | [
"MIT"
] | 931 | 2021-05-21T15:24:35.000Z | 2022-03-31T20:07:40.000Z | backend/benefit/applications/tests/factories.py | City-of-Helsinki/yjdh | 1c07576b456d2be9c3171363450ed46de2c1bbcb | [
"MIT"
] | 6 | 2021-07-06T11:07:02.000Z | 2022-02-07T12:42:21.000Z | import decimal
import itertools
import random
from datetime import date, timedelta
import factory
from applications.enums import ApplicationStatus, ApplicationStep, BenefitType
from applications.models import (
AhjoDecision,
Application,
APPLICATION_LANGUAGE_CHOICES,
ApplicationBasis,
ApplicationBa... | 36.833333 | 86 | 0.729838 |
f35db14649e34fcd913939f8f437aec72367b212 | 344 | py | Python | Python/kata/bankocr.py | caichinger/BankOCR-Outside-in-Kata | 0296cc64d2559464300d2eb996bae41a5e13e26b | [
"BSD-3-Clause"
] | 2 | 2021-04-26T19:21:48.000Z | 2021-06-05T15:48:08.000Z | Python/kata/bankocr.py | caichinger/BankOCR-Outside-in-Kata | 0296cc64d2559464300d2eb996bae41a5e13e26b | [
"BSD-3-Clause"
] | 1 | 2021-01-21T19:50:21.000Z | 2021-01-21T21:01:07.000Z | Python/kata/bankocr.py | caichinger/BankOCR-Outside-in-Kata | 0296cc64d2559464300d2eb996bae41a5e13e26b | [
"BSD-3-Clause"
] | 3 | 2020-09-19T07:42:26.000Z | 2021-01-20T18:08:28.000Z | # coding=utf-8
from kata.accountnumber import AccountNumber
| 24.571429 | 74 | 0.665698 |
f35e7aeafd5d8413da522d85881d20ec08c21815 | 3,419 | py | Python | createData.py | msiampou/distributed-fault-tolerant-kv-store | 26dd701ef133c8f463b364e085773b551dfb98ce | [
"MIT"
] | 7 | 2021-04-17T18:47:36.000Z | 2022-03-24T13:09:21.000Z | createData.py | msiampou/efficient-kv-store | 26dd701ef133c8f463b364e085773b551dfb98ce | [
"MIT"
] | null | null | null | createData.py | msiampou/efficient-kv-store | 26dd701ef133c8f463b364e085773b551dfb98ce | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys, getopt
import random
import string
import sys
import math
if __name__ == "__main__":
keyfile, numlines, maxlevel, maxlength, maxkeys = parse_args(sys.argv[1:])
fields = parse_file(keyfile)
create_outfile(fields, numlines, maxlevel, maxlength, maxkeys)
| 31.366972 | 114 | 0.595788 |
f35f43c00e526592a35ccf5d1df69d3b25cc9782 | 492 | py | Python | homework(december)/decemberAssigment1/random1.py | tkanicka/python_learning | 67fc0e8ca6333571f8b0d30f835b759d670a8643 | [
"Unlicense"
] | null | null | null | homework(december)/decemberAssigment1/random1.py | tkanicka/python_learning | 67fc0e8ca6333571f8b0d30f835b759d670a8643 | [
"Unlicense"
] | null | null | null | homework(december)/decemberAssigment1/random1.py | tkanicka/python_learning | 67fc0e8ca6333571f8b0d30f835b759d670a8643 | [
"Unlicense"
] | null | null | null | import random
player1 = Play("Andula")
player1.print_name()
player1.RPC(3)
player1.TossDie(2)
| 15.375 | 51 | 0.565041 |
f3622570165ab8b3547a7e98a1dead76e8814089 | 1,855 | py | Python | armory/baseline_models/pytorch/resnet50.py | paperwhite/armory | 3868cf5dd86578b58105f5901139a2f0b939ab15 | [
"MIT"
] | null | null | null | armory/baseline_models/pytorch/resnet50.py | paperwhite/armory | 3868cf5dd86578b58105f5901139a2f0b939ab15 | [
"MIT"
] | null | null | null | armory/baseline_models/pytorch/resnet50.py | paperwhite/armory | 3868cf5dd86578b58105f5901139a2f0b939ab15 | [
"MIT"
] | null | null | null | """
ResNet50 CNN model for 244x244x3 image classification
"""
import logging
from art.classifiers import PyTorchClassifier
import numpy as np
import torch
from torchvision import models
logger = logging.getLogger(__name__)
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
IMAGENET_MEANS = [0.48... | 27.279412 | 73 | 0.596226 |
f363d12a0b564c0f2c4645099bd660201af5ca16 | 4,428 | py | Python | clac_line_index.py | shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis | fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc | [
"Apache-2.0"
] | null | null | null | clac_line_index.py | shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis | fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc | [
"Apache-2.0"
] | null | null | null | clac_line_index.py | shichenhui/Data-mining-techniques-on-astronomical-spectra-data.-I-Clustering-analysis | fd6a7c27cfe2110ee1a2ffc31ddca26340d2cabc | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
from astropy.io import fits
data = fits.open(r'C:\Users\panda\Desktop\spec-56591-EG012606S021203F01_sp08-138.fits')
a = data[0]
wave = a.data[2] # 3
flux = a.data[0] # 1
model = LineIndex()
line_... | 45.649485 | 116 | 0.497967 |
f3649feeb844c0af49496f4dfa7da1a11ffe1955 | 2,961 | py | Python | spire/github/upgrades/broodauth.py | bugout-dev/spire | def55cb64fbd306ddde47067d8573cf4b234115c | [
"Apache-2.0"
] | 1 | 2021-12-01T14:18:12.000Z | 2021-12-01T14:18:12.000Z | spire/github/upgrades/broodauth.py | bugout-dev/spire | def55cb64fbd306ddde47067d8573cf4b234115c | [
"Apache-2.0"
] | 13 | 2021-07-13T19:19:22.000Z | 2022-01-14T16:33:42.000Z | spire/github/upgrades/broodauth.py | bugout-dev/spire | def55cb64fbd306ddde47067d8573cf4b234115c | [
"Apache-2.0"
] | null | null | null | """
According with BUG-132 was added table GitHubBugoutUser.
It requires additional script to generate BugoutUser for existing installations
after database migration.
"""
import argparse
import uuid
from ..models import GitHubOAuthEvent, GitHubBugoutUser
from ...broodusers import bugout_api
from ...db import yield_con... | 36.109756 | 87 | 0.604863 |
f364a3b71f51ba8bce139138673bbb2d0659faf9 | 9,500 | py | Python | preprocess_list_tokenized.py | c-col/Transformer | c7b6ae2aed877ba32dc44544429051181fc4da71 | [
"Apache-2.0"
] | null | null | null | preprocess_list_tokenized.py | c-col/Transformer | c7b6ae2aed877ba32dc44544429051181fc4da71 | [
"Apache-2.0"
] | null | null | null | preprocess_list_tokenized.py | c-col/Transformer | c7b6ae2aed877ba32dc44544429051181fc4da71 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import json
import re
from Utils import *
np.random.seed(4)
with open('list_task_v2.json', 'r', encoding="utf-8") as input_file:
data = json.loads(input_file.read())
data = remove_duplicates(data)
n = len(data)
np.random.shuffle(data)
vocab = []
for e in data:
... | 34.926471 | 117 | 0.533895 |
f364c17a276ab73e615a247493444fe756fae197 | 2,650 | py | Python | galaxy-shooter/src/enemy.py | akshayreddy/games | c7256f9e7da71eee96236ccef1ff72248adff8c0 | [
"MIT"
] | null | null | null | galaxy-shooter/src/enemy.py | akshayreddy/games | c7256f9e7da71eee96236ccef1ff72248adff8c0 | [
"MIT"
] | null | null | null | galaxy-shooter/src/enemy.py | akshayreddy/games | c7256f9e7da71eee96236ccef1ff72248adff8c0 | [
"MIT"
] | null | null | null | import pygame, random
from datetime import datetime
from bullet import EnemyBullet, ChasingBullet
| 36.30137 | 93 | 0.622642 |
f364c54a60ecdfe331ea87a6ae8d2da27d7ac741 | 1,397 | py | Python | python/ign_topic_info.py | srmainwaring/python-ignition | 720f2e6d8e675ed7e10488caf11ef7e93e519d58 | [
"Apache-2.0"
] | 3 | 2022-01-05T19:25:42.000Z | 2022-02-28T02:51:28.000Z | python/ign_topic_info.py | srmainwaring/python-ignition | 720f2e6d8e675ed7e10488caf11ef7e93e519d58 | [
"Apache-2.0"
] | 4 | 2022-01-10T16:54:30.000Z | 2022-01-11T15:38:41.000Z | python/ign_topic_info.py | srmainwaring/python-ignition | 720f2e6d8e675ed7e10488caf11ef7e93e519d58 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (C) 2022 Rhys Mainwaring
#
# 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 applicabl... | 26.865385 | 75 | 0.703651 |
f3653c62ef4fa176cfb63a279e20fab0dda730c3 | 188 | py | Python | tests/spec/cms/blogs/test_blogs.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | 117 | 2020-04-06T08:22:53.000Z | 2022-03-18T03:41:29.000Z | tests/spec/cms/blogs/test_blogs.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | 62 | 2020-04-06T16:21:06.000Z | 2022-03-17T16:50:44.000Z | tests/spec/cms/blogs/test_blogs.py | fakepop/hubspot-api-python | f04103a09f93f5c26c99991b25fa76801074f3d3 | [
"Apache-2.0"
] | 45 | 2020-04-06T16:13:52.000Z | 2022-03-30T21:33:17.000Z | from hubspot import HubSpot
from hubspot.discovery.cms.blogs.discovery import Discovery
| 23.5 | 59 | 0.781915 |
f366bab7949be48bac13c8ce7427325ee3cbe177 | 896 | py | Python | tests/clvm/benchmark_costs.py | Flax-Network/flax-light-wallet | 1745850a28a47bbbc4b5f3d460f35b34b4ed4f25 | [
"Apache-2.0"
] | 1 | 2021-12-02T14:38:11.000Z | 2021-12-02T14:38:11.000Z | tests/clvm/benchmark_costs.py | Flax-Network/flax-light-wallet | 1745850a28a47bbbc4b5f3d460f35b34b4ed4f25 | [
"Apache-2.0"
] | null | null | null | tests/clvm/benchmark_costs.py | Flax-Network/flax-light-wallet | 1745850a28a47bbbc4b5f3d460f35b34b4ed4f25 | [
"Apache-2.0"
] | 6 | 2021-11-21T00:38:27.000Z | 2021-12-03T01:25:19.000Z | from flaxlight.types.blockchain_format.program import INFINITE_COST
from flaxlight.types.spend_bundle import SpendBundle
from flaxlight.types.generator_types import BlockGenerator
from flaxlight.consensus.cost_calculator import calculate_cost_of_program, NPCResult
from flaxlight.consensus.default_constants import DEFAU... | 52.705882 | 103 | 0.856027 |
f36a93259aea79b2a63bd7b922441b69612ed4f5 | 1,634 | py | Python | Validation/Performance/python/SaveRandomSeedsDigi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | Validation/Performance/python/SaveRandomSeedsDigi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 7 | 2016-07-17T02:34:54.000Z | 2019-08-13T07:58:37.000Z | Validation/Performance/python/SaveRandomSeedsDigi.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | #G.Benelli Feb 7 2008
#This fragment is used to have the random generator seeds saved to test
#simulation reproducibility. Anothe fragment then allows to run on the
#root output of cmsDriver.py to test reproducibility.
import FWCore.ParameterSet.Config as cms
| 41.897436 | 95 | 0.707466 |
f36cc628b45610f2a9c084e711e9332703ff2399 | 1,219 | py | Python | chapter_6/ex_6-4.py | akshaymoharir/PythonCrashCourse | 742b9841cff61d36567e8706efc69c5f5d5435ff | [
"MIT"
] | null | null | null | chapter_6/ex_6-4.py | akshaymoharir/PythonCrashCourse | 742b9841cff61d36567e8706efc69c5f5d5435ff | [
"MIT"
] | null | null | null | chapter_6/ex_6-4.py | akshaymoharir/PythonCrashCourse | 742b9841cff61d36567e8706efc69c5f5d5435ff | [
"MIT"
] | null | null | null |
## Python Crash Course
# Exercise 6.4: Glossary#2:
# Now that you know how to loop through a dictionary, clean up the code from Exercise 6-3 (page 102)
# by replacing your series of print statements with a loop that runs through the dictionarys keys and values.
# When... | 34.828571 | 129 | 0.624282 |
f36e7b68c4de6666f2c352b4c512f437cc2a7906 | 3,592 | py | Python | test/ai/test_basic_ai.py | PMatthaei/multiagent-particle-envs | 1169b1f88fbcd0c5b43f1be9c63e0cb8916feb6d | [
"MIT"
] | null | null | null | test/ai/test_basic_ai.py | PMatthaei/multiagent-particle-envs | 1169b1f88fbcd0c5b43f1be9c63e0cb8916feb6d | [
"MIT"
] | 2 | 2021-08-29T19:04:50.000Z | 2021-08-29T19:21:32.000Z | test/ai/test_basic_ai.py | PMatthaei/ma-env | 1169b1f88fbcd0c5b43f1be9c63e0cb8916feb6d | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from maenv.ai.basic_ai import BasicScriptedAI
from test.mock import mock_agent, mock_team, mock_world
AGENTS_N = 4
| 49.888889 | 122 | 0.581292 |
f36fbaa6774f5a01f0c03dbada430c9534cde159 | 914 | py | Python | src/m3_extra.py | wangj19/99-CapstoneProject-201920 | 30198ec8b8748abbcdc507d85ad38a34fd61de01 | [
"MIT"
] | null | null | null | src/m3_extra.py | wangj19/99-CapstoneProject-201920 | 30198ec8b8748abbcdc507d85ad38a34fd61de01 | [
"MIT"
] | null | null | null | src/m3_extra.py | wangj19/99-CapstoneProject-201920 | 30198ec8b8748abbcdc507d85ad38a34fd61de01 | [
"MIT"
] | null | null | null | import rosebot
import time
| 26.114286 | 83 | 0.677243 |
f370a807612b9899c6544506def0d96f26936479 | 358 | py | Python | app/requests.py | Mash14/personal-blog | 4117097b98ffab7a0dfc43261162da88cde863c2 | [
"MIT"
] | null | null | null | app/requests.py | Mash14/personal-blog | 4117097b98ffab7a0dfc43261162da88cde863c2 | [
"MIT"
] | null | null | null | app/requests.py | Mash14/personal-blog | 4117097b98ffab7a0dfc43261162da88cde863c2 | [
"MIT"
] | null | null | null | import urllib.request,json
from .models import Quote
| 29.833333 | 71 | 0.73743 |
f373d9e39b7c68b7583c76a11336122d800a3114 | 2,142 | py | Python | misc/phyler_classify.py | hurwitzlab/LSA-pipeline | 0515fe325ccf49c7914ea8aa1404cdee6dfe2648 | [
"MIT"
] | 39 | 2015-09-20T06:33:54.000Z | 2021-12-21T06:59:53.000Z | misc/phyler_classify.py | hurwitzlab/LSA-pipeline | 0515fe325ccf49c7914ea8aa1404cdee6dfe2648 | [
"MIT"
] | 23 | 2015-09-23T12:00:43.000Z | 2020-05-27T15:42:11.000Z | misc/phyler_classify.py | hurwitzlab/LSA-pipeline | 0515fe325ccf49c7914ea8aa1404cdee6dfe2648 | [
"MIT"
] | 19 | 2015-10-16T21:40:12.000Z | 2020-11-10T07:58:00.000Z | #!/usr/bin/env python
import sys, getopt
import glob,os
# sample the first 10**7 reads
help_message = 'usage example: python read_phyler.py -r 1 -i /project/home/original_reads/ -o /project/home/phyler/'
if __name__ == "__main__":
try:
opts, args = getopt.getopt(sys.argv[1:],'hr:i:o:',["inputdir="])
except:
pr... | 34 | 304 | 0.653595 |
f373f170f7b6ef88a0c7f2d402d77c96448b85ae | 2,733 | py | Python | Labs/PolicyFunctionIteration/policy_solutions.py | jessicaleete/numerical_computing | cc71f51f35ca74d00e617af3d1a0223e19fb9a68 | [
"CC-BY-3.0"
] | 10 | 2016-10-18T19:54:25.000Z | 2021-10-09T20:12:38.000Z | Labs/PolicyFunctionIteration/policy_solutions.py | jessicaleete/numerical_computing | cc71f51f35ca74d00e617af3d1a0223e19fb9a68 | [
"CC-BY-3.0"
] | null | null | null | Labs/PolicyFunctionIteration/policy_solutions.py | jessicaleete/numerical_computing | cc71f51f35ca74d00e617af3d1a0223e19fb9a68 | [
"CC-BY-3.0"
] | 2 | 2017-05-14T16:07:59.000Z | 2020-06-20T09:05:06.000Z | #Solutions to Policy Function Iteration Lab
import numpy as np
import scipy as sp
from scipy import sparse
from scipy.sparse import linalg
import math
from matplotlib import pyplot as plt
from scipy import linalg as la
def policyIter(beta, N, Wmax=1.):
"""
Solve the infinite horizon cake eating problem u... | 33.740741 | 92 | 0.628979 |
f3747ad21d103d033483025376c35ddb48b4a17b | 8,228 | py | Python | official/nlp/gpt/src/gpt.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/gpt/src/gpt.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/gpt/src/gpt.py | mindspore-ai/models | 9127b128e2961fd698977e918861dadfad00a44c | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... | 36.087719 | 116 | 0.658605 |
f374cca632fe9ea398a4cffa7dc83253ebb4f185 | 9,481 | py | Python | aws/sagemaker/kmeans/daal_kmeans_docker/container/kmeans/Kmeans.py | ravi9/csp | 42cc55bf36841514341fc45f17363f287bc70114 | [
"MIT"
] | null | null | null | aws/sagemaker/kmeans/daal_kmeans_docker/container/kmeans/Kmeans.py | ravi9/csp | 42cc55bf36841514341fc45f17363f287bc70114 | [
"MIT"
] | null | null | null | aws/sagemaker/kmeans/daal_kmeans_docker/container/kmeans/Kmeans.py | ravi9/csp | 42cc55bf36841514341fc45f17363f287bc70114 | [
"MIT"
] | 1 | 2018-11-06T06:16:35.000Z | 2018-11-06T06:16:35.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import daal.algorithms.kmeans.init
from daal.algorithms import kmeans
from daal.data_management import InputDataArchive, OutputDataArchive
from daal.data_management import Compressor_Zlib, Decompressor_Zlib, \
level9, DecompressionStream, CompressionStream, HomogenNumericT... | 43.490826 | 1,404 | 0.629259 |
f37556e45733e4284a2c266789d0279aa779aaab | 1,037 | py | Python | packages/syft/src/syft/proto/lib/python/bytes_pb2.py | jackbandy/PySyft | 0e20e90abab6a7a7ca672d6eedfa1e7f83c4981b | [
"Apache-2.0"
] | null | null | null | packages/syft/src/syft/proto/lib/python/bytes_pb2.py | jackbandy/PySyft | 0e20e90abab6a7a7ca672d6eedfa1e7f83c4981b | [
"Apache-2.0"
] | null | null | null | packages/syft/src/syft/proto/lib/python/bytes_pb2.py | jackbandy/PySyft | 0e20e90abab6a7a7ca672d6eedfa1e7f83c4981b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: proto/lib/python/bytes.proto
"""Generated protocol buffer code."""
# third party
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import ... | 34.566667 | 139 | 0.788814 |
f3759665189eabf01b8c5c36782598bf681a6b5f | 6,092 | py | Python | pyscripts/excel2md.py | heyrict/custom_modules | 37860a3f703b6cc731b719a5c9a1bee51184e12e | [
"Apache-2.0"
] | null | null | null | pyscripts/excel2md.py | heyrict/custom_modules | 37860a3f703b6cc731b719a5c9a1bee51184e12e | [
"Apache-2.0"
] | null | null | null | pyscripts/excel2md.py | heyrict/custom_modules | 37860a3f703b6cc731b719a5c9a1bee51184e12e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import optparse,sys,os
from txtform import df_format_print, df_format_read
import pandas as pd, numpy as np
import pyperclip
if __name__=='__main__':
main()
| 40.885906 | 179 | 0.603414 |
f377429eaab6daa3a95ec3785362c510027b3b86 | 12,482 | py | Python | spexxy/weight/fromgridnearest.py | thusser/spexxy | 14a8d121076b9e043bdf2e27222a65088f771ff9 | [
"MIT"
] | 4 | 2019-05-13T21:36:31.000Z | 2021-09-06T01:56:36.000Z | spexxy/weight/fromgridnearest.py | thusser/spexxy | 14a8d121076b9e043bdf2e27222a65088f771ff9 | [
"MIT"
] | 2 | 2020-02-12T14:36:39.000Z | 2020-07-14T11:43:10.000Z | spexxy/weight/fromgridnearest.py | thusser/spexxy | 14a8d121076b9e043bdf2e27222a65088f771ff9 | [
"MIT"
] | 1 | 2019-11-08T09:26:23.000Z | 2019-11-08T09:26:23.000Z | import os
import numpy as np
import pandas as pd
from typing import List, Union
from .weight import Weight
from ..data import Spectrum
__all__ = ['WeightFromGridNearest']
| 38.884735 | 125 | 0.557763 |
f377fe060e7eef928a73ab32445d3e0a5afd5056 | 4,096 | py | Python | testproject/testapp/tests/test_password_reset.py | d1opensource/djoser | ebdd2f25f84df22891372afb53cc6b956917d1ba | [
"MIT"
] | null | null | null | testproject/testapp/tests/test_password_reset.py | d1opensource/djoser | ebdd2f25f84df22891372afb53cc6b956917d1ba | [
"MIT"
] | null | null | null | testproject/testapp/tests/test_password_reset.py | d1opensource/djoser | ebdd2f25f84df22891372afb53cc6b956917d1ba | [
"MIT"
] | null | null | null | from django.conf import settings
from django.contrib.sites.shortcuts import get_current_site
from django.core import mail
from django.test.utils import override_settings
from djet import assertions, restframework
from rest_framework import status
import djoser.views
from djoser.compat import get_user_email
from djoser... | 36.247788 | 91 | 0.7146 |
f3792dc86555ef5c680134d2150cbf714d907165 | 27,319 | py | Python | sequenceur.py | lperezfr/turbot-toulouse-robot-race | 52043120db44cf3c901429d1990c4c96c9c2b5f6 | [
"Apache-2.0"
] | 1 | 2017-10-06T22:13:27.000Z | 2017-10-06T22:13:27.000Z | sequenceur.py | lperezfr/turbot-toulouse-robot-race | 52043120db44cf3c901429d1990c4c96c9c2b5f6 | [
"Apache-2.0"
] | null | null | null | sequenceur.py | lperezfr/turbot-toulouse-robot-race | 52043120db44cf3c901429d1990c4c96c9c2b5f6 | [
"Apache-2.0"
] | null | null | null | # encoding:utf-8
# Librairies tierces
import time
import os
# Mes classes
from voiture import Voiture
from asservissement import Asservissement
from arduino import Arduino
| 39.535456 | 169 | 0.538856 |
f37a1381f4d4b5acbdd70be0b55f313823fcb65a | 15,325 | py | Python | ddtrace/internal/wrapping.py | ysk24ok/dd-trace-py | 9d76e3b27c0e90a45721988f2008362683da8bb0 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | ddtrace/internal/wrapping.py | ysk24ok/dd-trace-py | 9d76e3b27c0e90a45721988f2008362683da8bb0 | [
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2022-02-16T09:35:37.000Z | 2022-03-04T16:48:45.000Z | ddtrace/internal/wrapping.py | goodspark/dd-trace-py | e2089c7b348e9d1a70e01f96927d85a643d6ae56 | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2022-02-11T16:34:22.000Z | 2022-02-11T16:34:22.000Z | import sys
from types import FunctionType
from typing import Any
from typing import Callable
from typing import Dict
from typing import Optional
from typing import Tuple
from typing import cast
from six import PY3
try:
from typing import Protocol
except ImportError:
from typing_extensions import Protocol # ... | 38.797468 | 111 | 0.578336 |
f37b98a0e9ce5d992118a7edfb6f656544e568ae | 1,354 | py | Python | setup.py | davidfraser/WSGIUtils | 5520779cae5a1032b24214c871860ca8cb4a30ed | [
"BSD-3-Clause"
] | null | null | null | setup.py | davidfraser/WSGIUtils | 5520779cae5a1032b24214c871860ca8cb4a30ed | [
"BSD-3-Clause"
] | 1 | 2018-08-14T08:48:03.000Z | 2018-08-14T08:48:03.000Z | setup.py | davidfraser/WSGIUtils | 5520779cae5a1032b24214c871860ca8cb4a30ed | [
"BSD-3-Clause"
] | 2 | 2019-02-15T19:34:03.000Z | 2019-06-29T18:24:13.000Z | #!/usr/bin/env python
import sys, os
sys.path.insert(0, os.path.join(os.getcwd(),'lib'))
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
import wsgiutils
try:
os.remove ('MANIFEST')
except:
pass
with open(os.path.join(os.getcwd(), 'README.txt'), 'r') as _readme:
long_des... | 27.08 | 95 | 0.702363 |
f37bd3c163dbc0eb3b950a6eec2cd48b6d1e5e78 | 410 | py | Python | doc/doc_updates.py | briandorsey/partisci | cb3c838e95edaf55a182c78007d993e3a995f599 | [
"BSD-2-Clause"
] | 5 | 2015-01-13T21:01:13.000Z | 2022-02-11T17:26:24.000Z | doc/doc_updates.py | briandorsey/partisci | cb3c838e95edaf55a182c78007d993e3a995f599 | [
"BSD-2-Clause"
] | null | null | null | doc/doc_updates.py | briandorsey/partisci | cb3c838e95edaf55a182c78007d993e3a995f599 | [
"BSD-2-Clause"
] | null | null | null | import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../clients/python"))
import pypartisci
server, port = "localhost", 7777
apps = ["Demo App A",
"Demo App B"]
hosts = ["host1.example.com",
"host2.example.com"]
versions = ["1.0", "2.0"]
for app in apps:
for i, hos... | 20.5 | 80 | 0.639024 |
f37e6ce0df9b7a208b203c4bc70c01ede05e68fc | 21,140 | py | Python | axisutilities/axisremapper.py | coderepocenter/AxisUtilities | 7cf93a88ba4bb073466c2a54a97beccd9e78d2c3 | [
"Apache-2.0"
] | null | null | null | axisutilities/axisremapper.py | coderepocenter/AxisUtilities | 7cf93a88ba4bb073466c2a54a97beccd9e78d2c3 | [
"Apache-2.0"
] | 11 | 2019-11-15T19:18:48.000Z | 2019-12-17T18:56:24.000Z | axisutilities/axisremapper.py | coderepocenter/AxisUtilities | 7cf93a88ba4bb073466c2a54a97beccd9e78d2c3 | [
"Apache-2.0"
] | 1 | 2019-11-15T19:14:40.000Z | 2019-11-15T19:14:40.000Z | from __future__ import annotations
from typing import Iterable, Callable
import numpy as np
import dask.array as da
from numba import prange
from scipy.sparse import csr_matrix
from axisutilities import Axis
def apply_function(self, from_data: Iterable, func2apply: Callable, dimension=0):
if isinstan... | 39.514019 | 181 | 0.607332 |
f37eb0ba03d92d73ef194fc0d664d1c011be9344 | 4,498 | py | Python | examples/__old/freeform_vault_tutorial.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | 34 | 2020-04-27T13:54:38.000Z | 2022-01-17T19:16:27.000Z | examples/__old/freeform_vault_tutorial.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | 306 | 2020-04-27T12:00:54.000Z | 2022-03-23T22:28:54.000Z | examples/__old/freeform_vault_tutorial.py | selinabitting/compas-RV2 | 0884cc00d09c8f4a75eb2b97614105e4c8bfd818 | [
"MIT"
] | 11 | 2020-06-30T08:23:40.000Z | 2022-02-01T20:47:39.000Z | from compas_rv2.skeleton import Skeleton
from compas_rv2.diagrams import FormDiagram # noqa F401
from compas_rv2.diagrams import ForceDiagram
from compas_rv2.diagrams import ThrustDiagram # noqa F401
from compas_rv2.rhino import RhinoSkeleton
from compas_rv2.rhino import RhinoFormDiagram
from compas_rv2.rhino import ... | 31.676056 | 81 | 0.5747 |
f37eef2860b7b43e3ce0d56aad7e0ba20434a32f | 5,923 | py | Python | tasks/time-series/time-series-forecasting/a65761f6-78d4-4fa7-988c-4ac6e7c07421/src/runner.py | sujithvemi/ai-platform | 2c11fecb644be95fe9b0da450da05be8cfd00fa1 | [
"MIT"
] | 1 | 2020-08-29T18:49:53.000Z | 2020-08-29T18:49:53.000Z | tasks/time-series/time-series-forecasting/a65761f6-78d4-4fa7-988c-4ac6e7c07421/src/runner.py | sujithvemi/ai-platform | 2c11fecb644be95fe9b0da450da05be8cfd00fa1 | [
"MIT"
] | 10 | 2020-12-26T09:34:17.000Z | 2022-03-21T22:30:38.000Z | tasks/time-series/time-series-forecasting/a65761f6-78d4-4fa7-988c-4ac6e7c07421/src/runner.py | sujithvemi/ai-platform | 2c11fecb644be95fe9b0da450da05be8cfd00fa1 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import io
import requests
from datetime import timedelta
import xgboost as xgb
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import *
import matplotlib.pyplot as plt
import mlflow
import mlflow.sklearn
def fit(self):
"""
Gets data and ... | 39.486667 | 118 | 0.618268 |
f38046d7ad6e7e47819ddb5a3878c1a7e985261b | 24 | py | Python | configs.py | GavinLiu-AI/warden-bots | 749d2c16a724d5590b6616ae711c96c9c4b5a9cf | [
"MIT"
] | null | null | null | configs.py | GavinLiu-AI/warden-bots | 749d2c16a724d5590b6616ae711c96c9c4b5a9cf | [
"MIT"
] | null | null | null | configs.py | GavinLiu-AI/warden-bots | 749d2c16a724d5590b6616ae711c96c9c4b5a9cf | [
"MIT"
] | null | null | null | WAR_BOT_TOKEN = 'token'
| 12 | 23 | 0.75 |
f3806a187a1195eae97ef27e1fd3f40966d4162c | 2,992 | py | Python | eigenface.py | lion-tohiro/MyEigenface | cc14e598dd83d0831c65c0521633f446ca4314a7 | [
"MIT"
] | null | null | null | eigenface.py | lion-tohiro/MyEigenface | cc14e598dd83d0831c65c0521633f446ca4314a7 | [
"MIT"
] | null | null | null | eigenface.py | lion-tohiro/MyEigenface | cc14e598dd83d0831c65c0521633f446ca4314a7 | [
"MIT"
] | null | null | null | from cv2 import cv2
import numpy as np
import sys
import os
from base import normalize
# some parameters of training and testing data
train_sub_count = 40
train_img_count = 5
total_face = 200
row = 70
col = 70
| 42.140845 | 134 | 0.65742 |
f38371cb347fe1cc59a05a3c04244fc73c03cc52 | 820 | py | Python | app/request/migrations/0003_auto_20190924_2107.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | null | null | null | app/request/migrations/0003_auto_20190924_2107.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | 32 | 2019-08-30T13:09:28.000Z | 2021-06-10T19:07:56.000Z | app/request/migrations/0003_auto_20190924_2107.py | contestcrew/2019SeoulContest-Backend | 2e99cc6ec6a712911da3b79412ae84a9d35453e1 | [
"MIT"
] | 3 | 2019-09-19T10:12:50.000Z | 2019-09-30T15:59:13.000Z | # Generated by Django 2.2.5 on 2019-09-24 12:07
from django.db import migrations, models
import django.db.models.deletion
| 30.37037 | 140 | 0.610976 |
f386e72db7f6ccd97e6e983df013a5674e86d24e | 10,472 | py | Python | mrmap/service/helper/ogc/layer.py | SvenTUM/mrmap | 307e120d0d846645b56fb8f4a7a979857c860c15 | [
"MIT"
] | null | null | null | mrmap/service/helper/ogc/layer.py | SvenTUM/mrmap | 307e120d0d846645b56fb8f4a7a979857c860c15 | [
"MIT"
] | null | null | null | mrmap/service/helper/ogc/layer.py | SvenTUM/mrmap | 307e120d0d846645b56fb8f4a7a979857c860c15 | [
"MIT"
] | null | null | null | from django.contrib.gis.geos import Polygon
from django.db import IntegrityError
from service.helper.enums import MetadataEnum, OGCOperationEnum, MetadataRelationEnum
from service.helper.epsg_api import EpsgApi
from service.models import Service, Metadata, Layer, Keyword, ReferenceSystem, Dimension, ServiceUrl
from se... | 40.276923 | 134 | 0.618506 |
f3878c596d313ee24b2d62403844d0ab0524f2b3 | 906 | py | Python | Sample/PyWebApi.IIS/json_fmtr.py | DataBooster/PyWebApi | d4afed2d6b05215302bfb316a61b36cf13fb74aa | [
"MIT"
] | 6 | 2020-04-10T22:39:38.000Z | 2022-01-21T18:07:08.000Z | Sample/PyWebApi.IIS/json_fmtr.py | DataBooster/PyWebApi | d4afed2d6b05215302bfb316a61b36cf13fb74aa | [
"MIT"
] | null | null | null | Sample/PyWebApi.IIS/json_fmtr.py | DataBooster/PyWebApi | d4afed2d6b05215302bfb316a61b36cf13fb74aa | [
"MIT"
] | 1 | 2021-01-26T23:08:42.000Z | 2021-01-26T23:08:42.000Z | # -*- coding: utf-8 -*-
"""json_fmtr.py
This module implements a MediaTypeFormatter with JSON response.
This module was originally shipped as an example code from https://github.com/DataBooster/PyWebApi, licensed under the MIT license.
Anyone who obtains a copy of this code is welcome to modify it for any... | 34.846154 | 135 | 0.730684 |
f388170b0b0845168e9528e0556eaa6b27d8bd42 | 6,952 | py | Python | vad.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | vad.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | vad.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# import numpy as np
import itin
import sdata
import fppy
from copy import deepcopy as cp
from wrapdimer import get_rmode, get_0mode, get_mode
from zfunc import set_cell_from_vasp, write_cell_to_vasp
from vfunc import runvdim, goptv
# def con(reac, prod):
# mode = get_mode(reac, prod)
# sdd = ... | 28.260163 | 76 | 0.534091 |
f3884809bd62f0f776b8c21dd23802afacf22c1c | 349 | py | Python | EASTAR/main/templatetags/extra.py | DightMerc/EASTAR | 04a3578932f8b4b842e0898513ef279c2f750f48 | [
"Apache-2.0"
] | 1 | 2020-09-21T16:46:19.000Z | 2020-09-21T16:46:19.000Z | EASTAR/main/templatetags/extra.py | DightMerc/EASTAR | 04a3578932f8b4b842e0898513ef279c2f750f48 | [
"Apache-2.0"
] | null | null | null | EASTAR/main/templatetags/extra.py | DightMerc/EASTAR | 04a3578932f8b4b842e0898513ef279c2f750f48 | [
"Apache-2.0"
] | null | null | null | from django import template
from django.template.defaultfilters import stringfilter
register = template.Library()
| 18.368421 | 55 | 0.719198 |
f3896211c27faf122c9bf819667c176a83dab4ba | 1,058 | py | Python | influxable/db/function/transformations.py | AndyBryson/influxable | 8a2f798cc5ae12b04f803afc84d7e064a3afd250 | [
"MIT"
] | 30 | 2019-07-28T12:57:21.000Z | 2022-03-30T05:02:57.000Z | influxable/db/function/transformations.py | AndyBryson/influxable | 8a2f798cc5ae12b04f803afc84d7e064a3afd250 | [
"MIT"
] | 9 | 2020-04-23T11:29:29.000Z | 2022-02-04T09:15:16.000Z | influxable/db/function/transformations.py | AndyBryson/influxable | 8a2f798cc5ae12b04f803afc84d7e064a3afd250 | [
"MIT"
] | 5 | 2021-03-23T04:05:42.000Z | 2022-01-28T12:04:37.000Z | from . import _generate_function
Abs = _generate_function('ABS')
ACos = _generate_function('ACOS')
ASin = _generate_function('ASIN')
ATan = _generate_function('ATAN')
ATan2 = _generate_function('ATAN2')
Ceil = _generate_function('CEIL')
Cos = _generate_function('COS')
CumulativeSum = _generate_function('CUMULATIVE_SUM... | 36.482759 | 69 | 0.797732 |
f38a2a1b6ca2d859f8e7abbf785a6ba3a4abb56a | 10,176 | py | Python | notebooks/pixel_cnn/pixelcnn_helpers.py | bjlkeng/sandbox | ba1fea113065256d4981a71f7b4bece7299effd1 | [
"MIT"
] | 158 | 2017-11-09T14:56:31.000Z | 2022-03-26T17:26:20.000Z | notebooks/pixel_cnn/pixelcnn_helpers.py | iivek/sandbox | c95653618b7be5022b0a8e217a4e5667badb2449 | [
"MIT"
] | 8 | 2017-11-28T11:14:46.000Z | 2021-05-03T00:23:57.000Z | notebooks/pixel_cnn/pixelcnn_helpers.py | iivek/sandbox | c95653618b7be5022b0a8e217a4e5667badb2449 | [
"MIT"
] | 77 | 2017-11-21T15:27:52.000Z | 2022-02-17T16:37:34.000Z | import math
import numpy as np
from keras import backend as K
from keras.layers import Conv2D, Concatenate, Activation, Add
from keras.engine import InputSpec
def logsoftmax(x):
''' Numerically stable log(softmax(x)) '''
m = K.max(x, axis=-1, keepdims=True)
return x - m - K.log(K.sum(K.exp(x - m), axis=... | 37.549815 | 100 | 0.554442 |
f38a6c2e71521c84f4388fefbf9286e8d814c7cf | 5,667 | py | Python | so_ana_util/common_types.py | HBernigau/StackOverflowAnalysis | 42dae7c0c23fcdeca23f8c770ad17b2eb341d091 | [
"MIT"
] | null | null | null | so_ana_util/common_types.py | HBernigau/StackOverflowAnalysis | 42dae7c0c23fcdeca23f8c770ad17b2eb341d091 | [
"MIT"
] | null | null | null | so_ana_util/common_types.py | HBernigau/StackOverflowAnalysis | 42dae7c0c23fcdeca23f8c770ad17b2eb341d091 | [
"MIT"
] | null | null | null | """
contains several global data classes (for log entries for example)
Author: `HBernigau <https://github.com/HBernigau>`_
Date: 01.2022
"""
import marshmallow_dataclass as mmdc
import marshmallow
from logging import StreamHandler
from typing import Any
from dataclasses import is_dataclass, dataclass, field
from date... | 31.137363 | 129 | 0.620787 |
f38cd9bf72cf20ce46ec9a0d171610abb4fc724e | 544 | py | Python | main.py | traduttore/traduttore-model | c7c2f3eba11226a32bad547c4f89186afab676da | [
"MIT"
] | null | null | null | main.py | traduttore/traduttore-model | c7c2f3eba11226a32bad547c4f89186afab676da | [
"MIT"
] | null | null | null | main.py | traduttore/traduttore-model | c7c2f3eba11226a32bad547c4f89186afab676da | [
"MIT"
] | null | null | null | from run_translation.TestModelComputer import asl_translation
from run_translation.TextToSpeech import tts
from run_translation.RunPiModelStream import rasp_translation
# from run_translation.RunPiModelTesting import rasp_translation
from run_translation.TestModelComputerLetters import asl_translation_letters
# from ru... | 41.846154 | 76 | 0.816176 |
f38d5179a40a5708688c37698f18af00b47801df | 855 | py | Python | counting_elements.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | counting_elements.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | counting_elements.py | vyshuks/Leetcode-30-day-challenge | aee6050c14670468426b437353f1df99c408a5a9 | [
"MIT"
] | null | null | null | # Given an integer array arr, count element x such that x + 1 is also in arr.
# If there're duplicates in arr, count them seperately.
# Example 1:
# Input: arr = [1,2,3]
# Output: 2
# Explanation: 1 and 2 are counted cause 2 and 3 are in arr.
# Example 2:
# Input: arr = [1,1,3,3,5,5,7,7]
# Output: 0
# Explanatio... | 20.357143 | 77 | 0.596491 |
f38fbb026f37e5802966766250eb1e180269abf5 | 446 | py | Python | terrascript/data/logicmonitor.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/data/logicmonitor.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/data/logicmonitor.py | hugovk/python-terrascript | 08fe185904a70246822f5cfbdc9e64e9769ec494 | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/data/logicmonitor.py
import terrascript
__all__ = [
"logicmonitor_collectors",
"logicmonitor_dashboard",
"logicmonitor_dashboard_group",
"logicmonitor_device_group",
]
| 16.518519 | 53 | 0.773543 |
f390563b3cfae7b34b4fd4558f37190e60715548 | 32,834 | py | Python | src/plotting_modules.py | kjdavidson/NoisePy | a7445dd2f68f64cb562d6a87096e5f12a2c3b612 | [
"MIT"
] | 74 | 2019-11-08T18:32:36.000Z | 2022-03-27T11:26:53.000Z | src/plotting_modules.py | kjdavidson/NoisePy | a7445dd2f68f64cb562d6a87096e5f12a2c3b612 | [
"MIT"
] | 23 | 2019-11-10T01:30:04.000Z | 2022-03-24T10:23:19.000Z | src/plotting_modules.py | kjdavidson/NoisePy | a7445dd2f68f64cb562d6a87096e5f12a2c3b612 | [
"MIT"
] | 36 | 2019-11-08T19:36:28.000Z | 2022-02-17T06:31:42.000Z | import os
import sys
import glob
import obspy
import scipy
import pyasdf
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from scipy.fftpack import next_fast_len
from obspy.signal.filter import bandpass
'''
Ensembles of plotting functions to display intermediate/final waveforms from the NoisePy pac... | 39.895504 | 141 | 0.589663 |
f39066e523946592eb25eb6c65542beaf6ed93ea | 195 | py | Python | version_2.0/cli.py | Isak-Landin/AlienWorldsBot | c8750229de4a7d4efe2950b7b89b7c457b956b5b | [
"MIT"
] | null | null | null | version_2.0/cli.py | Isak-Landin/AlienWorldsBot | c8750229de4a7d4efe2950b7b89b7c457b956b5b | [
"MIT"
] | null | null | null | version_2.0/cli.py | Isak-Landin/AlienWorldsBot | c8750229de4a7d4efe2950b7b89b7c457b956b5b | [
"MIT"
] | null | null | null | try:
import time
import traceback
from program_files.__main__ import main
if __name__ == '__main__':
main()
except:
print(traceback.print_exc())
time.sleep(10000) | 19.5 | 43 | 0.65641 |
f393ca21257641b3a4a749444737ab5f7f35e5a8 | 13,255 | py | Python | zeugs/wz_table/spreadsheet_make.py | gradgrind/Zeugs | 56361a63f245ac15a8cd21c7316879dc944609db | [
"Apache-2.0"
] | null | null | null | zeugs/wz_table/spreadsheet_make.py | gradgrind/Zeugs | 56361a63f245ac15a8cd21c7316879dc944609db | [
"Apache-2.0"
] | null | null | null | zeugs/wz_table/spreadsheet_make.py | gradgrind/Zeugs | 56361a63f245ac15a8cd21c7316879dc944609db | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
wz_table/spreadsheet_make.py
Last updated: 2019-10-14
Create a new spreadsheet (.xlsx).
=+LICENCE=============================
Copyright 2017-2019 Michael Towers
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except... | 33.220551 | 82 | 0.530517 |
f3940f471c47cc139263585f43ad154e0740108a | 8,509 | py | Python | pygpsnmea/kml.py | tww-software/py_gps_nmea | 8295d146014d4e8636e7ca05f7e843f023c67e45 | [
"MIT"
] | null | null | null | pygpsnmea/kml.py | tww-software/py_gps_nmea | 8295d146014d4e8636e7ca05f7e843f023c67e45 | [
"MIT"
] | null | null | null | pygpsnmea/kml.py | tww-software/py_gps_nmea | 8295d146014d4e8636e7ca05f7e843f023c67e45 | [
"MIT"
] | null | null | null | """
a parser to generate Keyhole Markup Language (KML) for Google Earth
"""
import datetime
import os
import re
DATETIMEREGEX = re.compile(
r'\d{4}/(0[1-9]|1[0-2])/(0[1-9]|1[0-9]|2[0-9]|3[01]) '
r'(0[0-9]|1[0-9]|2[0-3]):([0-5][0-9]):([0-5][0-9])')
def remove_invalid_chars(xmlstring):
"""
remove ... | 31.868914 | 78 | 0.595135 |
f396ce948df906683a7c38c39ca570318694f325 | 120 | py | Python | config_web/uberon.py | NikkiBytes/pending.api | 3c83bb8e413c3032a3a4539d19a779b5f0b67650 | [
"Apache-2.0"
] | 3 | 2019-02-17T23:36:35.000Z | 2022-03-01T16:43:06.000Z | config_web/uberon.py | NikkiBytes/pending.api | 3c83bb8e413c3032a3a4539d19a779b5f0b67650 | [
"Apache-2.0"
] | 56 | 2019-01-26T16:34:12.000Z | 2022-03-23T06:57:03.000Z | config_web/uberon.py | NikkiBytes/pending.api | 3c83bb8e413c3032a3a4539d19a779b5f0b67650 | [
"Apache-2.0"
] | 6 | 2020-10-22T17:37:54.000Z | 2022-03-01T16:56:55.000Z |
ES_HOST = 'localhost:9200'
ES_INDEX = 'pending-uberon'
ES_DOC_TYPE = 'anatomy'
API_PREFIX = 'uberon'
API_VERSION = ''
| 15 | 27 | 0.716667 |
f397defd4691690e72cce36ba5215724539cf0f1 | 4,596 | py | Python | tests/unittests/models/movinet/test_movinet.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | tests/unittests/models/movinet/test_movinet.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | tests/unittests/models/movinet/test_movinet.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Zilliz. 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 agree... | 31.054054 | 75 | 0.595735 |
f39a1fae3017b69be241d72f355eabb23b20cb7e | 766 | py | Python | setup.py | btpka3/certbot-auto-dns-challenge | 6f0eee2c4a65380aaf51e439714b0c88820cd392 | [
"Apache-2.0"
] | null | null | null | setup.py | btpka3/certbot-auto-dns-challenge | 6f0eee2c4a65380aaf51e439714b0c88820cd392 | [
"Apache-2.0"
] | null | null | null | setup.py | btpka3/certbot-auto-dns-challenge | 6f0eee2c4a65380aaf51e439714b0c88820cd392 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf8 -*-
from setuptools import setup
setup(
name='certbot_adc',
version='0.1',
description="perform certbot auto dns challenge with DNS provider's API",
url='http://github.com/btpka3/certbot-auto-dns-challenge',
author='btpka3',
author_email='btpka3@163.com... | 26.413793 | 77 | 0.612272 |
f39ab617903bf5c066a5df4506e51a1d5032af8b | 3,402 | py | Python | meta_learn/hyperparameter/hyperactive_wrapper.py | SimonBlanke/Meta-Learn | 099c12dd78c67216949f0773b5e642de0199d130 | [
"MIT"
] | 2 | 2018-04-11T08:44:52.000Z | 2018-04-11T19:40:49.000Z | meta_learn/hyperparameter/hyperactive_wrapper.py | SimonBlanke/meta-learn | 099c12dd78c67216949f0773b5e642de0199d130 | [
"MIT"
] | null | null | null | meta_learn/hyperparameter/hyperactive_wrapper.py | SimonBlanke/meta-learn | 099c12dd78c67216949f0773b5e642de0199d130 | [
"MIT"
] | null | null | null | import os
import glob
import hashlib
import inspect
from .collector import Collector
from ._meta_regressor import MetaRegressor
from ._recognizer import Recognizer
from ._predictor import Predictor
| 30.927273 | 71 | 0.643739 |
f39ac023b77aabbaf4afaccbd9f78e8fb65f2bd7 | 4,130 | py | Python | SIR_Model_Spread_of_Disease/SIR.py | Ukasz09/Machine-learning | fad267247a98099dd0647840fb2cbeb91ba63ef6 | [
"MIT"
] | 1 | 2020-04-18T11:30:26.000Z | 2020-04-18T11:30:26.000Z | SIR_Model_Spread_of_Disease/SIR.py | Ukasz09/Machine-learning | fad267247a98099dd0647840fb2cbeb91ba63ef6 | [
"MIT"
] | null | null | null | SIR_Model_Spread_of_Disease/SIR.py | Ukasz09/Machine-learning | fad267247a98099dd0647840fb2cbeb91ba63ef6 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
T = 200
h = 1e-2
t = np.arange(start=0, stop=T + h, step=h)
bet, gam = 0.15, 1 / 50
# todo: zmienic poziej na randoma
# S_pocz = np.random.uniform(0.7, 1)
S_start = 0.8
I_start = 1 - S_start
R_start = 0
N = S_start + I_start + R_sta... | 28.482759 | 120 | 0.542373 |
f39c2a97e0f79f5846c7d80b8e4cc63e36f79092 | 2,309 | py | Python | Source/fcm_estimator.py | SamanKhamesian/Imputation-of-Missing-Values | 01bcce1033e311133529ac7519bf1eccb3adac67 | [
"Apache-2.0"
] | 4 | 2019-07-17T18:36:42.000Z | 2021-06-04T16:04:55.000Z | Source/fcm_estimator.py | SamanKhamesian/Imputation-of-Missing-Values | 01bcce1033e311133529ac7519bf1eccb3adac67 | [
"Apache-2.0"
] | 1 | 2019-10-01T05:04:24.000Z | 2019-10-11T12:38:26.000Z | Source/fcm_estimator.py | SamanKhamesian/Imputation-of-Missing-Values | 01bcce1033e311133529ac7519bf1eccb3adac67 | [
"Apache-2.0"
] | 2 | 2019-11-01T04:09:49.000Z | 2021-02-27T23:44:23.000Z | import numpy as np
from skfuzzy import cmeans
from config import NAN, FCMParam
| 37.241935 | 116 | 0.585535 |
f39d173c9fbc317050ff95708eda00f0d96dd9ff | 3,444 | py | Python | assignments/06_common/common_expanded.py | xanoob/be434-fall-2021 | d06c2f105a03a48e4a2c4024151f24eb8dbab30e | [
"MIT"
] | null | null | null | assignments/06_common/common_expanded.py | xanoob/be434-fall-2021 | d06c2f105a03a48e4a2c4024151f24eb8dbab30e | [
"MIT"
] | null | null | null | assignments/06_common/common_expanded.py | xanoob/be434-fall-2021 | d06c2f105a03a48e4a2c4024151f24eb8dbab30e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : RoxanneB <RoxanneB@localhost>
Date : 2021-10-07
Purpose: Rock the Casbah
"""
import argparse
import sys
import string
from collections import defaultdict
# --------------------------------------------------
def get_args():
"""Get command-line arguments"""
parser = argpar... | 28.941176 | 93 | 0.539199 |
f3a12a458087d0fac906201bd400b84157ccb937 | 3,421 | py | Python | protocols/acars618.py | wagoodman/protocol-tools | 7daa021265beca9755fe0a96203801e2270f4a8b | [
"MIT"
] | 1 | 2022-01-29T00:28:50.000Z | 2022-01-29T00:28:50.000Z | protocols/acars618.py | wagoodman/protocol-tools | 7daa021265beca9755fe0a96203801e2270f4a8b | [
"MIT"
] | null | null | null | protocols/acars618.py | wagoodman/protocol-tools | 7daa021265beca9755fe0a96203801e2270f4a8b | [
"MIT"
] | null | null | null | from byteProtocol import *
import re
import time
| 36.010526 | 115 | 0.524408 |
f3a248c8b3cb8bcd7112da99c041f910e5474413 | 7,018 | py | Python | db_env/tpch/tpch_stream/RefreshPair.py | Chotom/rl-db-indexing | 16eaf0a3e3aef83b3fd077111e922dea6dd6a1f3 | [
"MIT"
] | null | null | null | db_env/tpch/tpch_stream/RefreshPair.py | Chotom/rl-db-indexing | 16eaf0a3e3aef83b3fd077111e922dea6dd6a1f3 | [
"MIT"
] | null | null | null | db_env/tpch/tpch_stream/RefreshPair.py | Chotom/rl-db-indexing | 16eaf0a3e3aef83b3fd077111e922dea6dd6a1f3 | [
"MIT"
] | null | null | null | import datetime
from typing import Iterator, Tuple, List
import numpy as np
import pandas as pd
from mysql.connector import MySQLConnection
from mysql.connector.cursor import MySQLCursorBuffered
from db_env.tpch.config import DB_REFRESH_DIR
from db_env.tpch.tpch_stream.consts import LINEITEM_QUOTE_INDEX_LIST, ORDERS_... | 44.138365 | 130 | 0.635081 |
f3a26881a4ca1cefb8ab84deb4c848ac0e3245ce | 285 | py | Python | zip_submission.py | RapidsAtHKUST/TriangleCounting | b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1 | [
"MIT"
] | null | null | null | zip_submission.py | RapidsAtHKUST/TriangleCounting | b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1 | [
"MIT"
] | null | null | null | zip_submission.py | RapidsAtHKUST/TriangleCounting | b63541f8f9f32d3cb2f52b9b8f07e5974238b6e1 | [
"MIT"
] | null | null | null | import datetime
import os
if __name__ == '__main__':
date_str = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M")
print(date_str)
os.system('zip -r tc-rapids-{}.zip triangle-counting technical_report.pdf -x *cmake-build-debug/* -x */CMake* -x *.idea/*'.format(date_str))
| 35.625 | 144 | 0.673684 |
f3a50a6379175fbc9b08a548137328cb017058f2 | 8,493 | py | Python | data/multimodal_miss_dataset.py | Norwa9/missing_modalities | 53cdcc1749eb5f0b74cc57b05ab3768b9c514385 | [
"MIT"
] | null | null | null | data/multimodal_miss_dataset.py | Norwa9/missing_modalities | 53cdcc1749eb5f0b74cc57b05ab3768b9c514385 | [
"MIT"
] | null | null | null | data/multimodal_miss_dataset.py | Norwa9/missing_modalities | 53cdcc1749eb5f0b74cc57b05ab3768b9c514385 | [
"MIT"
] | null | null | null | import os
import sys
sys.path.append("/data/luowei/MMIN")
import json
import random
import torch
import numpy as np
import h5py
from torch.nn.utils.rnn import pad_sequence
from torch.nn.utils.rnn import pack_padded_sequence
from data.base_dataset import BaseDataset
# run
# /data/luowei/anaconda3/envs/wav2clip_env... | 39.686916 | 140 | 0.558695 |
f3a82067b35984c55df054378d7da2b20c33f677 | 524 | py | Python | projects/admin.py | BridgesLab/Lab-Website | d6f6c9c068bbf668c253e5943d9514947023e66d | [
"CC0-1.0",
"MIT"
] | 6 | 2015-08-31T16:55:16.000Z | 2022-02-10T08:23:07.000Z | projects/admin.py | BridgesLab/Lab-Website | d6f6c9c068bbf668c253e5943d9514947023e66d | [
"CC0-1.0",
"MIT"
] | 30 | 2015-03-22T15:49:31.000Z | 2020-05-25T23:59:37.000Z | projects/admin.py | BridgesLab/Lab-Website | d6f6c9c068bbf668c253e5943d9514947023e66d | [
"CC0-1.0",
"MIT"
] | 6 | 2016-09-07T08:25:21.000Z | 2020-03-27T10:24:57.000Z | '''This package sets up the admin interface for the :mod:`papers` app.'''
from django.contrib import admin
from projects.models import Funding, FundingAgency
admin.site.register(Funding, FundingAdmin)
admin.site.register(FundingAgency, FundingAgencyAdmin)
| 37.428571 | 81 | 0.751908 |
f3a93a6c183cf430e924e42fd67f039a0f3d50e9 | 859 | py | Python | evap/evaluation/migrations/0032_populate_rating_answer_counters.py | JenniferStamm/EvaP | 1d71e4efcd34d01f28e30c6026c8dcc708921193 | [
"MIT"
] | null | null | null | evap/evaluation/migrations/0032_populate_rating_answer_counters.py | JenniferStamm/EvaP | 1d71e4efcd34d01f28e30c6026c8dcc708921193 | [
"MIT"
] | null | null | null | evap/evaluation/migrations/0032_populate_rating_answer_counters.py | JenniferStamm/EvaP | 1d71e4efcd34d01f28e30c6026c8dcc708921193 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
| 34.36 | 148 | 0.756694 |
f3aa23f0ec5b96698289637ee3c9f3e193d97695 | 1,054 | py | Python | src/main.py | NonAbelianCapu/Traffic_Sim | bdbb4a7f058d8622ed6e6d7128db681cdae39b1b | [
"MIT"
] | null | null | null | src/main.py | NonAbelianCapu/Traffic_Sim | bdbb4a7f058d8622ed6e6d7128db681cdae39b1b | [
"MIT"
] | null | null | null | src/main.py | NonAbelianCapu/Traffic_Sim | bdbb4a7f058d8622ed6e6d7128db681cdae39b1b | [
"MIT"
] | null | null | null | import sim
import utils
import numpy as np
import matplotlib.pyplot as plt
import argparse
if __name__ == '__main__':
main()
| 29.277778 | 120 | 0.681214 |
f3aa39200a91e8ee89c1f49153a1bf66342a6c27 | 1,666 | py | Python | tests/functional/parser/schemas.py | n2N8Z/aws-lambda-powertools-python | 0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9 | [
"MIT-0"
] | null | null | null | tests/functional/parser/schemas.py | n2N8Z/aws-lambda-powertools-python | 0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9 | [
"MIT-0"
] | null | null | null | tests/functional/parser/schemas.py | n2N8Z/aws-lambda-powertools-python | 0cb5d506f534ac76b42f2d5959d93c7b2bb4d8e9 | [
"MIT-0"
] | null | null | null | from typing import Dict, List, Optional
from pydantic import BaseModel
from typing_extensions import Literal
from aws_lambda_powertools.utilities.parser.models import (
DynamoDBStreamChangedRecordModel,
DynamoDBStreamModel,
DynamoDBStreamRecordModel,
EventBridgeModel,
SnsModel,
SnsNotification... | 19.833333 | 61 | 0.779712 |
f3aaaccfebbaff94bdcc88b4d60c133a5920a086 | 387 | py | Python | src/350.py | hippieZhou/The-Way-Of-LeetCode | c63d777e01413726b6214c616c20c61f8e5b330b | [
"MIT"
] | null | null | null | src/350.py | hippieZhou/The-Way-Of-LeetCode | c63d777e01413726b6214c616c20c61f8e5b330b | [
"MIT"
] | null | null | null | src/350.py | hippieZhou/The-Way-Of-LeetCode | c63d777e01413726b6214c616c20c61f8e5b330b | [
"MIT"
] | null | null | null | #
nums1 = [1, 2, 2, 1]
nums2 = [2, 2]
li = Solution().intersect(nums1, nums2)
print(li)
| 20.368421 | 58 | 0.5323 |