hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1e350c126295c7a9490e115d40fcf878c26c63ed | 5,756 | py | Python | tutorials/01-basics/pytorch_basics/main.py | zhangyang1997/pytorch-tutorial | 3d7dfb516ab8c3eaa99a81b448efc4a8aad10b11 | [
"MIT"
] | null | null | null | tutorials/01-basics/pytorch_basics/main.py | zhangyang1997/pytorch-tutorial | 3d7dfb516ab8c3eaa99a81b448efc4a8aad10b11 | [
"MIT"
] | null | null | null | tutorials/01-basics/pytorch_basics/main.py | zhangyang1997/pytorch-tutorial | 3d7dfb516ab8c3eaa99a81b448efc4a8aad10b11 | [
"MIT"
] | null | null | null | import torch
import torchvision
import torch.nn as nn
import numpy as np
import torchvision.transforms as transforms
# ================================================================== #
# #
# =============================================================... | 25.469027 | 77 | 0.437109 |
1e35c32ef63c48b1ca0a41c93b46faa23eaeb61c | 275 | py | Python | tests/projects/flask1/main.py | mblackgeo/lambdarado_py | 9a1e8538b569bbfdf0b0de11b42e97290812c826 | [
"MIT"
] | 4 | 2021-05-11T03:50:57.000Z | 2022-01-20T14:20:44.000Z | tests/projects/flask1/main.py | mblackgeo/lambdarado_py | 9a1e8538b569bbfdf0b0de11b42e97290812c826 | [
"MIT"
] | 1 | 2022-01-20T14:21:56.000Z | 2022-01-20T14:22:54.000Z | tests/projects/flask1/main.py | mblackgeo/lambdarado_py | 9a1e8538b569bbfdf0b0de11b42e97290812c826 | [
"MIT"
] | 1 | 2022-02-28T10:06:35.000Z | 2022-02-28T10:06:35.000Z | from flask import Flask
from lambdarado import start
print("RUNNING main.py")
start(get_app)
| 12.5 | 28 | 0.589091 |
1e39d91975ce69d2c9a8a4f9b337534b2818f717 | 30,006 | py | Python | iati/tests/test_version.py | akmiller01/pyIATI | 394bc8b62782bc5617603b1770bdaf73a718e1f2 | [
"MIT"
] | 5 | 2018-09-13T13:13:06.000Z | 2021-09-28T15:54:39.000Z | iati/tests/test_version.py | akmiller01/pyIATI | 394bc8b62782bc5617603b1770bdaf73a718e1f2 | [
"MIT"
] | 95 | 2017-10-19T13:16:41.000Z | 2021-12-13T19:35:36.000Z | iati/tests/test_version.py | akmiller01/pyIATI | 394bc8b62782bc5617603b1770bdaf73a718e1f2 | [
"MIT"
] | 5 | 2017-11-07T17:27:40.000Z | 2019-06-25T16:20:16.000Z | """A module containing tests for the pyIATI representation of Standard metadata."""
import copy
import math
import operator
import pytest
import iati.tests.utilities
from iati.tests.fixtures.versions import iativer, semver, split_decimal, split_iativer, split_semver
class TestVersionModification:
"""A container... | 49.270936 | 213 | 0.724022 |
1e3b390506f4f42cc6868431a17b0ab8d24bbe9b | 1,487 | py | Python | 006 - Simple Netcat Replacement/victim_client.py | Danziger/Pluralsight-Network-Penetration-Testing-Using-Python-and-Kali-Linux | 040acfb55470f97a3a1c6e6d392cd0cdfc84eff8 | [
"MIT"
] | 5 | 2017-11-12T12:53:28.000Z | 2020-11-02T06:16:45.000Z | 006 - Simple Netcat Replacement/victim_client.py | cyborix/Pluralsight-Network-Penetration-Testing-Using-Python-and-Kali-Linux | 5bcbc41889c6bd65aaad312b9b429dc189b8d0d1 | [
"MIT"
] | null | null | null | 006 - Simple Netcat Replacement/victim_client.py | cyborix/Pluralsight-Network-Penetration-Testing-Using-Python-and-Kali-Linux | 5bcbc41889c6bd65aaad312b9b429dc189b8d0d1 | [
"MIT"
] | 6 | 2016-06-20T00:27:31.000Z | 2019-02-14T14:28:45.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import subprocess
import socket
import argparse
if __name__ == '__main__':
main()
| 20.652778 | 103 | 0.612643 |
1e3c1dd9c86f7c8cf4c2d93e5bb0dcb96cc42bb8 | 7,801 | py | Python | src/tests/test_inputCheck.py | retsilagracias/horoscope-cli | fcbaf11a4db21fcf609b480f9800943c8cc37815 | [
"MIT"
] | null | null | null | src/tests/test_inputCheck.py | retsilagracias/horoscope-cli | fcbaf11a4db21fcf609b480f9800943c8cc37815 | [
"MIT"
] | null | null | null | src/tests/test_inputCheck.py | retsilagracias/horoscope-cli | fcbaf11a4db21fcf609b480f9800943c8cc37815 | [
"MIT"
] | null | null | null | from horoscopecli.inputCheck import validInputCategoryOption, validInputSign, validInputDateOption
| 31.840816 | 98 | 0.692475 |
1e3d93cbe8939102d52b6741448b666d75a4d165 | 1,080 | py | Python | r_freeze/cli.py | tullur/r_freeze | e93f682d129ed47e6005df553ab170ede75cd688 | [
"MIT"
] | 1 | 2021-01-13T04:10:54.000Z | 2021-01-13T04:10:54.000Z | r_freeze/cli.py | tullur/r_freeze | e93f682d129ed47e6005df553ab170ede75cd688 | [
"MIT"
] | 5 | 2020-10-03T14:07:40.000Z | 2021-02-13T13:30:08.000Z | r_freeze/cli.py | tullur/r_freeze | e93f682d129ed47e6005df553ab170ede75cd688 | [
"MIT"
] | 1 | 2020-10-03T17:26:35.000Z | 2020-10-03T17:26:35.000Z | """Console script for r_freeze."""
import argparse
import sys
from r_freeze.r_freeze import get_packages, write_package_file
def main():
"""Console script for r_freeze."""
parser = argparse.ArgumentParser()
parser.add_argument("dir", type=str, help="Directory to look for")
parser.add_argument(
... | 28.421053 | 72 | 0.644444 |
1e3ded7081e85b35a4fbf753c68286902ee63b1d | 557 | py | Python | develop/models/Token.py | zero-shubham/permissions_system | d9e882d9a5531e63790157054422f160c3b2dc3a | [
"MIT"
] | 4 | 2020-08-06T14:40:30.000Z | 2021-11-08T20:06:36.000Z | develop/models/Token.py | zero-shubham/permissions_system | d9e882d9a5531e63790157054422f160c3b2dc3a | [
"MIT"
] | null | null | null | develop/models/Token.py | zero-shubham/permissions_system | d9e882d9a5531e63790157054422f160c3b2dc3a | [
"MIT"
] | null | null | null | import sqlalchemy
from application import metadata
Token = sqlalchemy.Table(
"tokens",
metadata,
sqlalchemy.Column("user_id", sqlalchemy.ForeignKey(
'_ps_users.id', ondelete="CASCADE"), primary_key=True),
sqlalchemy.Column("token", sqlalchemy.String(length=1000),
nullable... | 29.315789 | 64 | 0.666068 |
1e3e05a4d0ae3f4fac38d36e9b6a8e99175ebd6a | 2,268 | py | Python | deep_recommend/recommend/ctr/fm/fm.py | yingxinff-source/DeepRecSys | bf781e112492563631e89fb1fba3431601f1331c | [
"MIT"
] | null | null | null | deep_recommend/recommend/ctr/fm/fm.py | yingxinff-source/DeepRecSys | bf781e112492563631e89fb1fba3431601f1331c | [
"MIT"
] | null | null | null | deep_recommend/recommend/ctr/fm/fm.py | yingxinff-source/DeepRecSys | bf781e112492563631e89fb1fba3431601f1331c | [
"MIT"
] | null | null | null | """
@Description: Factorization Machines
@version:
@License: MIT
@Author: Wang Yao
@Date: 2020-12-03 18:01:05
@LastEditors: Wang Yao
@LastEditTime: 2020-12-03 20:33:26
"""
import tensorflow as tf
from tensorflow.keras.layers import Layer
from tensorflow.keras.models import Model
from tensorflow.keras.metrics import AU... | 33.352941 | 90 | 0.63448 |
1e4561bd0a6c402816c8ef1d8a3713895e1842df | 2,037 | py | Python | pyirf/irf/background.py | jsitarek/pyirf | c5dd8c09563e6074eab956d93049df9aa7828245 | [
"MIT"
] | 6 | 2021-03-02T13:50:49.000Z | 2021-09-20T07:33:20.000Z | pyirf/irf/background.py | jsitarek/pyirf | c5dd8c09563e6074eab956d93049df9aa7828245 | [
"MIT"
] | 168 | 2020-05-20T12:25:13.000Z | 2022-03-10T12:54:10.000Z | pyirf/irf/background.py | jsitarek/pyirf | c5dd8c09563e6074eab956d93049df9aa7828245 | [
"MIT"
] | 19 | 2020-05-27T17:06:52.000Z | 2021-11-26T14:53:38.000Z | import astropy.units as u
import numpy as np
from ..utils import cone_solid_angle
#: Unit of the background rate IRF
BACKGROUND_UNIT = u.Unit('s-1 TeV-1 sr-1')
def background_2d(events, reco_energy_bins, fov_offset_bins, t_obs):
"""
Calculate background rates in radially symmetric bins in the field of view.... | 34.525424 | 103 | 0.691703 |
1e45a7b508c34e99dfc2f6db040d93b78f1ec5f8 | 2,637 | py | Python | flaskapp1.py | aamazie/RSSReader1 | 8b17007a8976bbd67cb47bb684cd74bb91cd4b20 | [
"MIT"
] | null | null | null | flaskapp1.py | aamazie/RSSReader1 | 8b17007a8976bbd67cb47bb684cd74bb91cd4b20 | [
"MIT"
] | null | null | null | flaskapp1.py | aamazie/RSSReader1 | 8b17007a8976bbd67cb47bb684cd74bb91cd4b20 | [
"MIT"
] | null | null | null | import feedparser, redis
from flask import Flask, render_template
from flask_caching import Cache
config = {
"DEBUG": False, # some Flask specific configs
"CACHE_TYPE": "redis", # Flask-Caching related configs
"CACHE_DEFAULT_TIMEOUT": 300
}
app = Flask(__name__)
app.config.from_mapping(c... | 36.123288 | 158 | 0.697383 |
1e46eb8e3ba2d18143073b54d12710fbb6774894 | 204 | py | Python | rex/rechunk_h5/__init__.py | psusmars/rex | 1891e1e41f899e5f479545ff8d8e9fc76a1929e6 | [
"BSD-3-Clause"
] | 8 | 2020-11-18T19:42:55.000Z | 2022-01-12T04:24:05.000Z | rex/rechunk_h5/__init__.py | psusmars/rex | 1891e1e41f899e5f479545ff8d8e9fc76a1929e6 | [
"BSD-3-Clause"
] | 57 | 2020-05-01T14:33:34.000Z | 2022-02-18T17:52:49.000Z | rex/rechunk_h5/__init__.py | psusmars/rex | 1891e1e41f899e5f479545ff8d8e9fc76a1929e6 | [
"BSD-3-Clause"
] | 4 | 2020-08-20T16:46:15.000Z | 2022-02-22T19:46:23.000Z | # -*- coding: utf-8 -*-
"""
.h5 rechunking tool
"""
from .chunk_size import ArrayChunkSize, TimeseriesChunkSize
from .combine_h5 import CombineH5
from .rechunk_h5 import RechunkH5, get_dataset_attributes
| 25.5 | 59 | 0.779412 |
1e47243cc9af97ba63a1e8a1f03dd63d9afbf94d | 6,419 | py | Python | db/one_hour_candle_db.py | SpiralDevelopment/RSI-divergence-detector | de88eea98d002fa86d28d96ef1f4e9e3349632ac | [
"MIT"
] | 7 | 2022-03-23T14:44:23.000Z | 2022-03-31T10:44:44.000Z | db/one_hour_candle_db.py | b1nhm1nh/RSI-divergence-detector | de88eea98d002fa86d28d96ef1f4e9e3349632ac | [
"MIT"
] | null | null | null | db/one_hour_candle_db.py | b1nhm1nh/RSI-divergence-detector | de88eea98d002fa86d28d96ef1f4e9e3349632ac | [
"MIT"
] | 1 | 2022-03-26T08:04:15.000Z | 2022-03-26T08:04:15.000Z | import pymysql
import pandas as pd
import logging
import traceback
logger = logging.getLogger(__name__)
TABLE_CANDLE_PATTERN = "CREATE TABLE IF NOT EXISTS {table}(" \
" id int(11) UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY, " \
" time DATETIME UNIQUE," \
... | 35.464088 | 114 | 0.458794 |
1e4760c42d92eb8588629d5fa0d2b93b95e12c74 | 178 | py | Python | etc/ChokudaiSpeedrun002/f.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | 3 | 2019-06-25T06:17:38.000Z | 2019-07-13T15:18:51.000Z | etc/ChokudaiSpeedrun002/f.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | null | null | null | etc/ChokudaiSpeedrun002/f.py | wotsushi/competitive-programming | 17ec8fd5e1c23aee626aee70b1c0da8d7f8b8c86 | [
"MIT"
] | null | null | null | N = int(input())
A, B = (
zip(*(map(int, input().split()) for _ in range(N))) if N else
((), ())
)
ans = len({(min(a, b), max(a, b)) for a, b in zip(A, B)})
print(ans)
| 17.8 | 65 | 0.477528 |
1e4852f9f102bcb68ed58fe7a5a38d41a0ac662d | 439 | py | Python | app/serializer.py | james-muriithi/django-api | 26c9c96eafd35464366eaabf4811e0b96bb981f6 | [
"MIT"
] | null | null | null | app/serializer.py | james-muriithi/django-api | 26c9c96eafd35464366eaabf4811e0b96bb981f6 | [
"MIT"
] | null | null | null | app/serializer.py | james-muriithi/django-api | 26c9c96eafd35464366eaabf4811e0b96bb981f6 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from .models import News, User
| 24.388889 | 50 | 0.687927 |
1e4bd3839eab345fc45832ae908f28c4ea53ff3c | 1,052 | py | Python | edmunds/profiler/drivers/basedriver.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 4 | 2017-09-07T13:39:50.000Z | 2018-05-31T16:14:50.000Z | edmunds/profiler/drivers/basedriver.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 103 | 2017-03-19T15:58:21.000Z | 2018-07-11T20:36:17.000Z | edmunds/profiler/drivers/basedriver.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 2 | 2017-10-14T15:20:11.000Z | 2018-04-20T09:55:44.000Z |
from edmunds.globals import abc, ABC
| 30.057143 | 79 | 0.495247 |
1e4d08a3857894ad1e97df4d555dfd3f9fe6e16d | 707 | py | Python | circles/migrations/0014_auto_20200506_2128.py | CoronaCircles/coronacircles | 1d86a659def276fcc0ebd7a723a48f729d6e21a1 | [
"MIT"
] | 1 | 2020-04-30T16:19:33.000Z | 2020-04-30T16:19:33.000Z | circles/migrations/0014_auto_20200506_2128.py | CoronaCircles/coronacircles | 1d86a659def276fcc0ebd7a723a48f729d6e21a1 | [
"MIT"
] | 43 | 2020-05-01T23:48:01.000Z | 2022-03-12T00:35:32.000Z | circles/migrations/0014_auto_20200506_2128.py | CoronaCircles/coronacircles | 1d86a659def276fcc0ebd7a723a48f729d6e21a1 | [
"MIT"
] | 1 | 2020-05-04T20:07:16.000Z | 2020-05-04T20:07:16.000Z | # Generated by Django 3.0.6 on 2020-05-06 19:28
from django.conf import settings
from django.db import migrations, models
| 30.73913 | 78 | 0.729844 |
1e4e265f4b5185e301756bee8b6f5969431615cb | 567 | py | Python | tests/test_application.py | aibotsoft/python-micro-template | f3f5f10e6b898a8a1f90884f32e7788106968971 | [
"MIT"
] | null | null | null | tests/test_application.py | aibotsoft/python-micro-template | f3f5f10e6b898a8a1f90884f32e7788106968971 | [
"MIT"
] | null | null | null | tests/test_application.py | aibotsoft/python-micro-template | f3f5f10e6b898a8a1f90884f32e7788106968971 | [
"MIT"
] | null | null | null | import pytest
from starlette.testclient import TestClient
from main import app
client = TestClient(app)
| 27 | 66 | 0.684303 |
1e4f422ab5c25cb00d8aea3348b3be2a94dfde12 | 9,773 | py | Python | test.py | tesaho/vehicle_tracking | aa88982ca24a325c3cf678fd696a63fa7444514b | [
"MIT"
] | 3 | 2020-04-26T05:48:33.000Z | 2022-01-21T11:59:40.000Z | test.py | tesaho/vehicle_tracking | aa88982ca24a325c3cf678fd696a63fa7444514b | [
"MIT"
] | null | null | null | test.py | tesaho/vehicle_tracking | aa88982ca24a325c3cf678fd696a63fa7444514b | [
"MIT"
] | null | null | null | from __future__ import division
from models import Darknet
from utils.utils import *
from utils.data_loader import *
from utils.parse_config import *
from terminaltables import AsciiTable
import os
import time
import argparse
import json
import pandas as pd
import torch
from torch.utils.data import DataLoader
from to... | 41.944206 | 121 | 0.596951 |
1e4ff65181755cf22c2236500e498e5141c9d0c1 | 349 | py | Python | src/secrets.template.py | Inciclopedia/status-monitors | 8eec2b548311b3be2f7b6cac5112d9ba2dedb98e | [
"BSD-3-Clause"
] | null | null | null | src/secrets.template.py | Inciclopedia/status-monitors | 8eec2b548311b3be2f7b6cac5112d9ba2dedb98e | [
"BSD-3-Clause"
] | null | null | null | src/secrets.template.py | Inciclopedia/status-monitors | 8eec2b548311b3be2f7b6cac5112d9ba2dedb98e | [
"BSD-3-Clause"
] | null | null | null | URLS = [
"url1"
]
STATUSPAGE_API_KEY = ""
STATUSPAGE_PAGE_ID = ""
STATUSPAGE_METRICS = {
"url": "metric_id"
}
STATUSPAGE_COMPONENTS = {
"url": "component_id"
}
PING_WEBHOOKS = []
STATUS_WEBHOOKS = []
ESCALATION_IDS = []
POLL_TIME = 60
OUTAGE_CHANGE_AFTER = 10
DRY_MODE = False
DEGRADED_PERFORMANCE_TARGET_PIN... | 17.45 | 38 | 0.713467 |
1e504a5b5c5d4acfa54f1f3b5a915886ad803336 | 510 | py | Python | app.py | andrequeiroz2/api-tags | ccc84c6b1ca5a6f907ea4c36db49a763c7d50445 | [
"MIT"
] | null | null | null | app.py | andrequeiroz2/api-tags | ccc84c6b1ca5a6f907ea4c36db49a763c7d50445 | [
"MIT"
] | null | null | null | app.py | andrequeiroz2/api-tags | ccc84c6b1ca5a6f907ea4c36db49a763c7d50445 | [
"MIT"
] | null | null | null | import os
from flask import Flask
from tags import database
from tags.api.tags.tags_route import init_tags_api
from flask_restful import Api
| 19.615385 | 87 | 0.647059 |
1e5268950470311876f7f86a137de61245cf0a46 | 12,443 | py | Python | venv/Lib/site-packages/pymessenger/bot.py | shivamsahni/Bot-to-live | 7b02e02012965bae873ae042aafe0ba76e12e7f5 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/pymessenger/bot.py | shivamsahni/Bot-to-live | 7b02e02012965bae873ae042aafe0ba76e12e7f5 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/pymessenger/bot.py | shivamsahni/Bot-to-live | 7b02e02012965bae873ae042aafe0ba76e12e7f5 | [
"Apache-2.0"
] | null | null | null | import json
import requests
from requests_toolbelt import MultipartEncoder
from pymessenger.graph_api import FacebookGraphApi
import pymessenger.utils as utils
| 32.831135 | 102 | 0.486699 |
1e52d79750e18e2bd4ae1e73601136e17e9b15a7 | 862 | py | Python | tests/test_delete.py | ppinard/dataclasses-sql | 8f2eeaf090887985f8fd9853adb763883906bed6 | [
"MIT"
] | 4 | 2020-08-17T21:24:58.000Z | 2021-06-28T19:27:37.000Z | tests/test_delete.py | adsharma/dataclasses-sql | f2b1a7e0e63a0dc5a46713c12972aac4009436a6 | [
"MIT"
] | 3 | 2020-06-07T16:00:50.000Z | 2020-11-02T01:44:09.000Z | tests/test_delete.py | adsharma/dataclasses-sql | f2b1a7e0e63a0dc5a46713c12972aac4009436a6 | [
"MIT"
] | 2 | 2020-11-02T01:37:52.000Z | 2020-11-21T05:43:42.000Z | """"""
# Standard library modules.
# Third party modules.
import pytest
import sqlalchemy
# Local modules.
import dataclasses_sql
# Globals and constants variables.
| 21.02439 | 64 | 0.708817 |
1e5388a338ee79c0983e77ee1bfcd18dd8023b2e | 244 | py | Python | codigo/Live171/exemplo_04.py | BrunoPontesLira/live-de-python | da6e463a89ed90d9efaa1c34088ab6460e949de1 | [
"MIT"
] | 572 | 2018-04-03T03:17:08.000Z | 2022-03-31T19:05:32.000Z | codigo/Live171/exemplo_04.py | BrunoPontesLira/live-de-python | da6e463a89ed90d9efaa1c34088ab6460e949de1 | [
"MIT"
] | 176 | 2018-05-18T15:56:16.000Z | 2022-03-28T20:39:07.000Z | codigo/Live171/exemplo_04.py | BrunoPontesLira/live-de-python | da6e463a89ed90d9efaa1c34088ab6460e949de1 | [
"MIT"
] | 140 | 2018-04-18T13:59:11.000Z | 2022-03-29T00:43:49.000Z | d = {'a': 1, 'c': 3}
match d:
case {'a': chave_a, 'b': _}:
print(f'chave A {chave_a=} + chave B')
case {'a': _} | {'c': _}:
print('chave A ou C')
case {}:
print('vazio')
case _:
print('No sei')
| 20.333333 | 46 | 0.418033 |
1e53dd376aaf61514bd9d98d45793bfdafdb09eb | 2,204 | py | Python | vb2py/PythonCard/samples/multicolumnexample/multicolumnexample.rsrc.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/PythonCard/samples/multicolumnexample/multicolumnexample.rsrc.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null | vb2py/PythonCard/samples/multicolumnexample/multicolumnexample.rsrc.py | ceprio/xl_vb2py | 899fec0301140fd8bd313e8c80b3fa839b3f5ee4 | [
"BSD-3-Clause"
] | null | null | null |
{ 'application':{ 'type':'Application',
'name':'MulticolumnExample',
'backgrounds':
[
{ 'type':'Background',
'name':'bgMulticolumnExample',
'title':'Multicolumn Example PythonCard Application',
'size':( 620, 500 ),
'menubar':
{
'type':'MenuBar',
'menus':
... | 19.504425 | 57 | 0.4451 |
1e53fed9bc34f67fcde5d88e2788fc25426657d8 | 326 | py | Python | Data_Science/grafico-bar-evitar.py | maledicente/cursos | 00ace48da7e48b04485e4ca97b3ca9ba5f33a283 | [
"MIT"
] | 1 | 2021-05-03T22:59:38.000Z | 2021-05-03T22:59:38.000Z | Data_Science/grafico-bar-evitar.py | maledicente/cursos | 00ace48da7e48b04485e4ca97b3ca9ba5f33a283 | [
"MIT"
] | null | null | null | Data_Science/grafico-bar-evitar.py | maledicente/cursos | 00ace48da7e48b04485e4ca97b3ca9ba5f33a283 | [
"MIT"
] | null | null | null | from matplotlib import pyplot as plt
mentions = [500, 505]
years = [2013, 2014]
plt.bar([2012.6, 2013.6], mentions, 0.8)
plt.xticks(years)
plt.ylabel("# de vezes que ouvimos algum dizer 'data science'")
plt.ticklabel_format(useOffset=False)
plt.axis([2012.5,2014.5,499,506])
plt.title("Olhe o Grande Aumento!")
plt.s... | 23.285714 | 64 | 0.720859 |
1e54324c83d7632c21e244fadff2630d67738ec7 | 652 | py | Python | tests/_utils/uniqueue.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | 8 | 2020-05-11T07:11:03.000Z | 2022-03-25T01:58:18.000Z | tests/_utils/uniqueue.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | null | null | null | tests/_utils/uniqueue.py | ssfdust/smorest-sfs | 139f6817989ab041c81761d183169de20a26597e | [
"Apache-2.0"
] | 2 | 2020-05-11T03:53:38.000Z | 2021-03-25T01:11:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import annotations
import queue
from typing import TYPE_CHECKING, TypeVar
T = TypeVar("T")
if TYPE_CHECKING:
SimpleQueue = queue.SimpleQueue
else:
| 20.375 | 68 | 0.654908 |
1e55b79a5473e9aecdfba3270696b5d5cc02b816 | 629 | py | Python | udp-client.py | fionahiklas/udp-broadcast-examples | c5a2ccee8cd567eed688dd5bb0838f6db937ffcc | [
"MIT"
] | null | null | null | udp-client.py | fionahiklas/udp-broadcast-examples | c5a2ccee8cd567eed688dd5bb0838f6db937ffcc | [
"MIT"
] | null | null | null | udp-client.py | fionahiklas/udp-broadcast-examples | c5a2ccee8cd567eed688dd5bb0838f6db937ffcc | [
"MIT"
] | null | null | null | import socket, traceback
host = '255.255.255.255' # Bind to all interfaces
port = 2081
print "Creating socker on port: ", port
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
#print "Setting REUSEADDR option"
#s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
print "Setting ... | 22.464286 | 79 | 0.685215 |
1e5a8715bccc107087af7b2797ee7c1fb9b9b2a5 | 634 | py | Python | tournament.py | maxhuebner/scrim-tool | 0babe8e25adcf8ee4f9a0d49f17c983c04cfff72 | [
"MIT"
] | 1 | 2022-03-25T10:39:37.000Z | 2022-03-25T10:39:37.000Z | tournament.py | maxhuebner/scrim-tool | 0babe8e25adcf8ee4f9a0d49f17c983c04cfff72 | [
"MIT"
] | null | null | null | tournament.py | maxhuebner/scrim-tool | 0babe8e25adcf8ee4f9a0d49f17c983c04cfff72 | [
"MIT"
] | null | null | null | import requests
import os
from dotenv import load_dotenv
load_dotenv()
RITO_API = os.getenv('RITO_API')
| 25.36 | 121 | 0.705047 |
1e5bac36fdef3169b96c9187c9f1835382b15650 | 1,015 | py | Python | imdb_id.py | chethan25/tv-series-file-renamer | 75f306c5fa789461d0fc3fb5ecd840f796341a6d | [
"MIT"
] | null | null | null | imdb_id.py | chethan25/tv-series-file-renamer | 75f306c5fa789461d0fc3fb5ecd840f796341a6d | [
"MIT"
] | null | null | null | imdb_id.py | chethan25/tv-series-file-renamer | 75f306c5fa789461d0fc3fb5ecd840f796341a6d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Module to get imdb id of the tv series using omdbapi
"""
import json
import requests
from main import tv_series_name
# Omdbapi website url
url = f'https://www.omdbapi.com/?t={tv_series_name}&apikey=f64b87dd'
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:74.0)\
... | 29 | 69 | 0.724138 |
1e5c414c9596bddab6137c7c0d788734d49dba78 | 2,653 | py | Python | web/tracker/models.py | webisteme/punkmoney | 79253f8a37c80789e22c5c63eb6c88ccade61286 | [
"MIT"
] | 1 | 2018-10-01T11:41:57.000Z | 2018-10-01T11:41:57.000Z | web/tracker/models.py | webisteme/punkmoney | 79253f8a37c80789e22c5c63eb6c88ccade61286 | [
"MIT"
] | null | null | null | web/tracker/models.py | webisteme/punkmoney | 79253f8a37c80789e22c5c63eb6c88ccade61286 | [
"MIT"
] | null | null | null | from django.db import models | 42.111111 | 73 | 0.720694 |
1e5cbd933bc42956551bf162c1843d5c031ddb90 | 3,041 | py | Python | scanner/sample_port_scanner.py | andradjp/hacktools | 912d09eaa9c39bff20606c0653a1e7f83507d80c | [
"MIT"
] | null | null | null | scanner/sample_port_scanner.py | andradjp/hacktools | 912d09eaa9c39bff20606c0653a1e7f83507d80c | [
"MIT"
] | null | null | null | scanner/sample_port_scanner.py | andradjp/hacktools | 912d09eaa9c39bff20606c0653a1e7f83507d80c | [
"MIT"
] | null | null | null | #! /usr/bin/python3
"""
__Version__: 0.1
__Author__: Joo Paulo Andrade
Data: 15/02/2020
Description: Sample scrip for scan host ports with only buit-in functions
This code just works with addresses of v4 family.
Python 3.x
"""
# Import modules
import socket
import sys
import errno
import os
import argparse
import ipad... | 38.987179 | 120 | 0.571851 |
1e5d0515db94e5b2af48b2083b8a5e93feb06991 | 101 | py | Python | Python_Network_Automation_II/chapter15_codes/print_hello_friend.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | Python_Network_Automation_II/chapter15_codes/print_hello_friend.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | Python_Network_Automation_II/chapter15_codes/print_hello_friend.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | #print_hello_friend.py
from datetime import datetime
print(datetime.now())
print("G'day Mate!")
| 20.2 | 30 | 0.742574 |
1e5d1f030ef487f5a8c16a40984905085d52689d | 978 | py | Python | kamera.py | ThomasHangstoerfer/pyHomeCtrl | 0a52512308bb0e13eb110543c04030889af341ac | [
"Apache-2.0"
] | null | null | null | kamera.py | ThomasHangstoerfer/pyHomeCtrl | 0a52512308bb0e13eb110543c04030889af341ac | [
"Apache-2.0"
] | 2 | 2021-02-08T20:34:10.000Z | 2021-06-02T00:29:53.000Z | kamera.py | ThomasHangstoerfer/pyHomeCtrl | 0a52512308bb0e13eb110543c04030889af341ac | [
"Apache-2.0"
] | null | null | null |
from kivy.app import App
from kivy.lang import Builder
from kivy.uix.boxlayout import BoxLayout
import time
Builder.load_string('''
<CameraClick>:
orientation: 'vertical'
Camera:
id: camera
resolution: (640, 480)
play: False
ToggleButton:
text: 'Play'
on_press: camer... | 21.26087 | 62 | 0.603272 |
1e62e34a7efe456d41a5eeb8545478b39db4767e | 6,612 | py | Python | sionna/channel/apply_time_channel.py | NVlabs/sionna | 488e6c3ff6ff2b3313d0ca0f94e4247b8dd6ff35 | [
"Apache-2.0"
] | 163 | 2022-03-22T19:47:47.000Z | 2022-03-31T23:56:45.000Z | sionna/channel/apply_time_channel.py | Maryammhsnv/sionna | 527d0f7866b379afffad34a6bef7ed3bf6f33ad2 | [
"Apache-2.0"
] | 2 | 2022-03-24T12:43:07.000Z | 2022-03-29T07:17:16.000Z | sionna/channel/apply_time_channel.py | Maryammhsnv/sionna | 527d0f7866b379afffad34a6bef7ed3bf6f33ad2 | [
"Apache-2.0"
] | 19 | 2022-03-23T02:31:22.000Z | 2022-03-30T06:35:12.000Z | #
# SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
"""Layer for applying channel responses to channel inputs in the time domain"""
import tensorflow as tf
import numpy as np
import scipy
from sionna.utils import insert_di... | 39.831325 | 154 | 0.611313 |
1e636172e223fdc1a10ed1f86beeb2c089a9b7dd | 104 | py | Python | yolox_backbone/utils/utils.py | developer0hye/YOLOX-Backbone | 83c4c2d7eff2dafb6aaffcc59bdce10b8e209fb4 | [
"Apache-2.0"
] | 20 | 2021-08-13T05:02:00.000Z | 2022-03-11T07:53:18.000Z | yolox_backbone/utils/utils.py | developer0hye/YOLOX-Backbone | 83c4c2d7eff2dafb6aaffcc59bdce10b8e209fb4 | [
"Apache-2.0"
] | 1 | 2021-09-15T12:00:32.000Z | 2021-09-16T22:21:23.000Z | yolox_backbone/utils/utils.py | developer0hye/YOLOX-Backbone | 83c4c2d7eff2dafb6aaffcc59bdce10b8e209fb4 | [
"Apache-2.0"
] | 4 | 2021-08-21T03:51:28.000Z | 2021-11-01T07:46:00.000Z | from urllib import request | 26 | 38 | 0.798077 |
1e640e2c7cee849ccd241323b8eb0dced4faf828 | 7,811 | py | Python | testfore.py | eearrth/projectTelecom-4T | 3c776a1c6b4f744517ffe13bd97c3076847ce86d | [
"BSD-2-Clause"
] | null | null | null | testfore.py | eearrth/projectTelecom-4T | 3c776a1c6b4f744517ffe13bd97c3076847ce86d | [
"BSD-2-Clause"
] | null | null | null | testfore.py | eearrth/projectTelecom-4T | 3c776a1c6b4f744517ffe13bd97c3076847ce86d | [
"BSD-2-Clause"
] | null | null | null | import time
import numpy as np
import pickle
from numpy import *
from matplotlib import *
from scipy.io import *
from sklearn.metrics import mean_squared_error
from pylab import *
t = time.time()
from itertools import chain
# function Normalize
#seterr(divide='ignore', invalid='ignore')
# rescale of TEC function
####... | 28.097122 | 120 | 0.593394 |
1e644cef7cba4c85e3f86b90cf0dc4c1d1385fb4 | 1,196 | py | Python | boxplots.py | wrightaprilm/plaus | ace7e008fc76f83d75e2219a2cb9ed2ddf776775 | [
"MIT"
] | null | null | null | boxplots.py | wrightaprilm/plaus | ace7e008fc76f83d75e2219a2cb9ed2ddf776775 | [
"MIT"
] | null | null | null | boxplots.py | wrightaprilm/plaus | ace7e008fc76f83d75e2219a2cb9ed2ddf776775 | [
"MIT"
] | null | null | null | import pandas as pd
import os
import re
import dendropy
from dendropy.utility.fileutils import find_files
import matplotlib.pyplot as plt
plt.style.use('ggplot')
default = pd.read_csv('./d.csv')
uniform = pd.read_csv('./1.csv')
exp = pd.read_csv('./e.csv')
fixed = pd.read_csv('./2.csv')
uniform.columns = ['a','uni', ... | 30.666667 | 86 | 0.658863 |
1e645c13a0829341024ad7a9c2cc7fd0efc82650 | 556 | py | Python | src/transitions/sudden.py | Addono/TekniBridge | 5411f6ae7903ac9383e11e9e3e42895862dbe955 | [
"BSD-2-Clause"
] | null | null | null | src/transitions/sudden.py | Addono/TekniBridge | 5411f6ae7903ac9383e11e9e3e42895862dbe955 | [
"BSD-2-Clause"
] | null | null | null | src/transitions/sudden.py | Addono/TekniBridge | 5411f6ae7903ac9383e11e9e3e42895862dbe955 | [
"BSD-2-Clause"
] | null | null | null | from typing import List
from led import Led
from transitions import AbstractTransition
| 26.47619 | 70 | 0.697842 |
1e64ce0f434fa8c4560c935663521ee4a611d5c4 | 51 | py | Python | ktrain/graph/stellargraph/version.py | happy-machine/ktrain | 221e7ce91f8cfdc280fc733083e901fcedb9f7e5 | [
"MIT"
] | null | null | null | ktrain/graph/stellargraph/version.py | happy-machine/ktrain | 221e7ce91f8cfdc280fc733083e901fcedb9f7e5 | [
"MIT"
] | null | null | null | ktrain/graph/stellargraph/version.py | happy-machine/ktrain | 221e7ce91f8cfdc280fc733083e901fcedb9f7e5 | [
"MIT"
] | null | null | null | # Global version information
__version__ = "0.7.2"
| 17 | 28 | 0.745098 |
1e6550da3a7499c75d7cd365b082b1c51bbaa97e | 1,421 | py | Python | network.py | jackwang0108/mnist | 8d3740f86aac804519a60b94d92783742febfa27 | [
"MIT"
] | 1 | 2022-03-22T09:34:18.000Z | 2022-03-22T09:34:18.000Z | network.py | jackwang0108/LeNet | 8d3740f86aac804519a60b94d92783742febfa27 | [
"MIT"
] | null | null | null | network.py | jackwang0108/LeNet | 8d3740f86aac804519a60b94d92783742febfa27 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
if __name__ == "__main__":
LeNet() | 34.658537 | 103 | 0.581985 |
1e657c2e5f863e3999265f3d0441a87d13476271 | 3,410 | py | Python | 2015/21/solve.py | lamperi/aoc | 1781dcbac0be18a086c10a9b76fb6a2d3595523c | [
"MIT"
] | null | null | null | 2015/21/solve.py | lamperi/aoc | 1781dcbac0be18a086c10a9b76fb6a2d3595523c | [
"MIT"
] | null | null | null | 2015/21/solve.py | lamperi/aoc | 1781dcbac0be18a086c10a9b76fb6a2d3595523c | [
"MIT"
] | null | null | null | import operator as op
import itertools
with open("input.txt") as file:
data = file.read()
shop = """Weapons: Cost Damage Armor
Dagger 8 4 0
Shortsword 10 5 0
Warhammer 25 6 0
Longsword 40 7 0
Greataxe 74 8 0
Armor: Cost Damage Armor... | 34.795918 | 192 | 0.580059 |
1e660f5d2460327ad9c421563dc4a94eb1209172 | 5,678 | py | Python | main.py | rtli/AccountBook | 55fc783f71edb4931057d81157de82abc897fb07 | [
"MIT"
] | null | null | null | main.py | rtli/AccountBook | 55fc783f71edb4931057d81157de82abc897fb07 | [
"MIT"
] | null | null | null | main.py | rtli/AccountBook | 55fc783f71edb4931057d81157de82abc897fb07 | [
"MIT"
] | null | null | null | import sys
import os
from PyQt5.QtWidgets import QApplication, QMainWindow, QMessageBox, QDialog
from PyQt5.QtCore import pyqtSignal
from mainUi import Ui_Form
from sortUi import sortUi
from functools import partial
import csvIssue
if __name__ == "__main__":
app = QApplication(sys.argv)
myWin = MyMainForm(... | 34.412121 | 79 | 0.589468 |
1e66c677ddf91468564650a9956d8af23cde2f1e | 347 | py | Python | back-end/src/handler/util/user_util_test.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | 1 | 2022-03-13T04:24:00.000Z | 2022-03-13T04:24:00.000Z | back-end/src/handler/util/user_util_test.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | null | null | null | back-end/src/handler/util/user_util_test.py | gfxcc/san11-platform-back-end | 74f60d201e21396c5c8601ddc404077ebd97871f | [
"MIT"
] | null | null | null | import unittest
import uuid
from . import user_util
| 23.133333 | 74 | 0.654179 |
1e678c3dc5352fc822740f8558e00375177acaa0 | 1,284 | py | Python | ex042.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | ex042.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | ex042.py | ArthurCorrea/python-exercises | 0c2ac46b8c40dd9868b132e847cfa42e025095e3 | [
"MIT"
] | null | null | null | # Refaa o desafio 035, acrescentando o recurso de mostrar que
# tipo de tringulo ser formado:
# - Equiltero: todos os lados iguais;
# - Issceles: dois lados iguais;
# - Escaleno: todos os lados diferentes.
n1 = float(input('\033[34mMedida 1:\033[m '))
n2 = float(input('\033[31mMedida 2:\033[m '))
n3 = float(input('\033... | 42.8 | 83 | 0.641745 |
1e698dcbf8b39e78eb99dae57a10881a374d2261 | 10,371 | py | Python | yamtbx/dataproc/xds/xds_inp.py | harumome/kamo | 060e6fbd9c5a30f86065cec7807ad3449027607e | [
"BSD-3-Clause"
] | null | null | null | yamtbx/dataproc/xds/xds_inp.py | harumome/kamo | 060e6fbd9c5a30f86065cec7807ad3449027607e | [
"BSD-3-Clause"
] | null | null | null | yamtbx/dataproc/xds/xds_inp.py | harumome/kamo | 060e6fbd9c5a30f86065cec7807ad3449027607e | [
"BSD-3-Clause"
] | null | null | null | """
(c) RIKEN 2015. All rights reserved.
Author: Keitaro Yamashita
This software is released under the new BSD License; see LICENSE.
"""
import os
from yamtbx.dataproc import XIO
from yamtbx.dataproc import cbf
from yamtbx.dataproc.dataset import group_img_files_template
# sensor_thickness_from_minicbf()
# Referenc... | 41.650602 | 101 | 0.686819 |
1e69c10ab3de38e681f2016898b847891518fb92 | 20,323 | py | Python | servicecheckerdb2prometheus.py | bitsofinfo/swarm-traefik-state-analyzer | 94166ee7e47f894aef53cf7a07722236658a0603 | [
"Apache-2.0"
] | 6 | 2018-05-21T15:44:33.000Z | 2021-12-24T00:58:00.000Z | servicecheckerdb2prometheus.py | bitsofinfo/swarm-traefik-state-analyzer | 94166ee7e47f894aef53cf7a07722236658a0603 | [
"Apache-2.0"
] | 1 | 2018-09-02T13:38:53.000Z | 2018-09-02T13:38:53.000Z | servicecheckerdb2prometheus.py | bitsofinfo/swarm-traefik-state-analyzer | 94166ee7e47f894aef53cf7a07722236658a0603 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from prometheus_client import start_http_server, Summary
import random
import argparse
import time
from prometheus_client import Counter
from prometheus_client import Gauge
from prometheus_client import Summary
from prometheus_client import Histogram
import sys
import time
import json
import date... | 44.567982 | 350 | 0.623874 |
1e6a919db6af8a314f38fe0572122cd620fabbd1 | 1,007 | py | Python | coins.py | bmtgoncalves/UDD | db47ed29dc9462b3445b5567e86d612538cf5b3a | [
"MIT"
] | 8 | 2017-09-07T16:01:08.000Z | 2018-08-29T10:45:47.000Z | coins.py | bmtgoncalves/UDD | db47ed29dc9462b3445b5567e86d612538cf5b3a | [
"MIT"
] | 4 | 2019-08-21T02:31:35.000Z | 2022-02-26T04:38:11.000Z | coins.py | bmtgoncalves/IFISC2017 | 648a00ed38d98ab7581c6af857606c6fa9c0e41f | [
"MIT"
] | null | null | null | #!/usr/bin/env pythonw
import numpy as np
import matplotlib.pyplot as plt
plt.plot(np.arange(100)/float(100), flip_coins(10))
plt.plot(np.arange(100)/float(100), flip_coins(100))
plt.plot(np.arange(100)/float(100), flip_coins(1000))
plt.plot(np.arange(100)/float(100), flip_coins(10000))
plt.plot(np.arange(100)/float(... | 30.515152 | 73 | 0.666336 |
1e6b0d9235d8b1a1193601cbf06d5bfb7871ca2e | 3,009 | py | Python | fbssdc/ast.py | Eijebong/binjs-ref | 52ba3ec9e9e2c439febc6a25f5f7952bd35dc539 | [
"MIT"
] | 391 | 2017-12-18T12:33:29.000Z | 2022-03-09T10:11:57.000Z | fbssdc/ast.py | Eijebong/binjs-ref | 52ba3ec9e9e2c439febc6a25f5f7952bd35dc539 | [
"MIT"
] | 297 | 2018-02-04T13:31:14.000Z | 2021-01-03T21:06:50.000Z | fbssdc/ast.py | Eijebong/binjs-ref | 52ba3ec9e9e2c439febc6a25f5f7952bd35dc539 | [
"MIT"
] | 31 | 2018-02-12T16:57:50.000Z | 2020-12-26T16:28:53.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import doctest
import json
import os
import subprocess
import idl
BINJS_SIGNATURE = b'BINJS\x02'
# Map ASTs to some... | 27.605505 | 81 | 0.689598 |
1e6bf1e56cf42fdaa101b04a72b5da693d8050f9 | 10,012 | py | Python | nutrition_labels/ensemble_model.py | wellcometrust/nutrition-labels | fe43d37ed595c1abe3ca8fd0eefb82bf8448fa08 | [
"MIT"
] | 2 | 2020-09-21T11:40:20.000Z | 2021-02-26T09:44:05.000Z | nutrition_labels/ensemble_model.py | wellcometrust/nutrition-labels | fe43d37ed595c1abe3ca8fd0eefb82bf8448fa08 | [
"MIT"
] | 38 | 2020-06-29T11:23:11.000Z | 2021-08-25T11:58:00.000Z | nutrition_labels/ensemble_model.py | wellcometrust/nutrition-labels | fe43d37ed595c1abe3ca8fd0eefb82bf8448fa08 | [
"MIT"
] | null | null | null | """
1. Ensemble model to predict unseen grants data
2. Calculate metrics for ensemble model
"""
import pandas as pd
import numpy as np
from sklearn.metrics import accuracy_score, classification_report, f1_score, precision_score, recall_score
import os
import re
import ast
from datetime import datetime
from nutritio... | 42.067227 | 147 | 0.671894 |
1e6cc497643b78aaa624414e02c48540bbc6c219 | 11,654 | py | Python | examples/mnist.py | kellylab/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 9 | 2019-05-01T01:22:10.000Z | 2020-12-08T15:41:13.000Z | examples/mnist.py | smk508/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 53 | 2019-01-20T17:02:38.000Z | 2019-03-24T18:00:08.000Z | examples/mnist.py | smk508/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 4 | 2019-07-04T15:39:46.000Z | 2021-08-17T04:59:25.000Z | #%%
from fireworks import PyTorch_Model, Message, HookedPassThroughPipe, Experiment
from fireworks.toolbox import ShufflerPipe, TensorPipe, BatchingPipe, FunctionPipe
from fireworks.toolbox.preprocessing import train_test_split
from fireworks.extensions import IgniteJunction
from fireworks.core import PyTorch_Model
im... | 46.616 | 210 | 0.701648 |
1e6cd32f0c6f61344d02fd5a57184f431d3600e5 | 2,660 | py | Python | main.py | tigran-ericyan/Python-Organizer | 764fdbc81a4042a421ffa1d2ed208f7be7364cba | [
"MIT"
] | null | null | null | main.py | tigran-ericyan/Python-Organizer | 764fdbc81a4042a421ffa1d2ed208f7be7364cba | [
"MIT"
] | null | null | null | main.py | tigran-ericyan/Python-Organizer | 764fdbc81a4042a421ffa1d2ed208f7be7364cba | [
"MIT"
] | null | null | null | import os
import shutil
video_files = ['.webm', '.mkv', '.vob', '.gif', '.avi', '.amv', '.mp4',]
audio_files = ['.aif','.cda', '.mid', '.mp3', '.mpa', '.ogg', ]
image_files = ['.tif', '.tiff', '.bmp', '.jpg', '.jpeg', '.gif', '.png', '.eps', '.raw', '.cr2', '.nef', '.orf', '.sr2', '.ico']
setup_files = ['.... | 34.545455 | 129 | 0.493233 |
1e6cdba039fca9528b2df2743a34f70463eb4c02 | 2,900 | py | Python | zag/tests/unit/worker_based/test_dispatcher.py | ToolsForHumans/taskflow | ce13d65e70213cb50ef19a714581997793b4e5fb | [
"Apache-2.0"
] | 1 | 2018-11-06T16:17:21.000Z | 2018-11-06T16:17:21.000Z | zag/tests/unit/worker_based/test_dispatcher.py | ToolsForHumans/zag | ce13d65e70213cb50ef19a714581997793b4e5fb | [
"Apache-2.0"
] | 45 | 2018-11-07T21:35:55.000Z | 2021-01-08T06:26:50.000Z | zag/tests/unit/worker_based/test_dispatcher.py | ToolsForHumans/taskflow | ce13d65e70213cb50ef19a714581997793b4e5fb | [
"Apache-2.0"
] | 3 | 2018-11-05T16:07:45.000Z | 2019-09-01T07:52:16.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2014 Yahoo! Inc. 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... | 35.802469 | 78 | 0.674483 |
1e6dbd7c00d8efd5e25104104afc209cad2575e9 | 530 | py | Python | Histogram of Oriented Gradients (HOG)/Showing the HOG features.py | ahmadhabib5/Computer_Vision_Bootcamp_with_Python_OpenCV_YOLO_SSD | d06dc6dd4d56a14e2af70dee1c15bdf38afbc7a3 | [
"MIT"
] | null | null | null | Histogram of Oriented Gradients (HOG)/Showing the HOG features.py | ahmadhabib5/Computer_Vision_Bootcamp_with_Python_OpenCV_YOLO_SSD | d06dc6dd4d56a14e2af70dee1c15bdf38afbc7a3 | [
"MIT"
] | null | null | null | Histogram of Oriented Gradients (HOG)/Showing the HOG features.py | ahmadhabib5/Computer_Vision_Bootcamp_with_Python_OpenCV_YOLO_SSD | d06dc6dd4d56a14e2af70dee1c15bdf38afbc7a3 | [
"MIT"
] | null | null | null | from skimage import data, feature
import matplotlib.pyplot as plt
image = plt.imread('images/mohammad-salah.jpg')
hog_vector, hog_image = feature.hog(image, orientations=9, pixels_per_cell=(8,8),
cells_per_block=(2,2), block_norm='L2',
visualize=... | 31.176471 | 83 | 0.632075 |
1e6f2d58304d5eb5325638020d4ad0a24bf5cc38 | 2,441 | py | Python | CountingGridsPy/tests/time_models/time_gpuvscpu.py | microsoft/browsecloud | 434f0d7e071306659cc9d6066149d3f1b0bdcb32 | [
"MIT"
] | 159 | 2019-06-30T17:51:29.000Z | 2022-03-24T10:01:32.000Z | CountingGridsPy/tests/time_models/time_gpuvscpu.py | microsoft/browsecloud | 434f0d7e071306659cc9d6066149d3f1b0bdcb32 | [
"MIT"
] | 6 | 2019-08-12T04:04:28.000Z | 2022-03-02T04:57:15.000Z | CountingGridsPy/tests/time_models/time_gpuvscpu.py | microsoft/browsecloud | 434f0d7e071306659cc9d6066149d3f1b0bdcb32 | [
"MIT"
] | 18 | 2019-07-01T05:22:58.000Z | 2020-12-22T09:02:07.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import unittest
import numpy as np
import torch
import os
import cProfile
from CountingGridsPy.models import CountingGridModel, CountingGridModelWithGPU
if __name__ == "__main__":
o = TimeGPUvsCPU()
o.run_withlayer... | 29.409639 | 78 | 0.584187 |
1e6f53f22427895238f581e8e9e288f9b5fd6b34 | 1,400 | py | Python | make_standalone_html.py | peli-pro/coldcard_address_generator | a4c3b53145a8886d4803932504b5f0b493b5c89d | [
"MIT"
] | 1 | 2019-11-20T09:23:52.000Z | 2019-11-20T09:23:52.000Z | make_standalone_html.py | peli-pro/coldcard_address_generator | a4c3b53145a8886d4803932504b5f0b493b5c89d | [
"MIT"
] | null | null | null | make_standalone_html.py | peli-pro/coldcard_address_generator | a4c3b53145a8886d4803932504b5f0b493b5c89d | [
"MIT"
] | 2 | 2019-11-20T09:23:55.000Z | 2021-06-03T23:48:41.000Z | from pathlib import Path
'''
This script creates a new html that has placed the javascript code inline to make a standalone html
'''
src = Path.cwd() / 'coldcard_address_generator_html.html'
dest = Path.cwd() / 'coldcard_address_generator_html_standalone.html'
dest2 = Path.cwd() / 'index.html' # for github pages
... | 25.925926 | 151 | 0.624286 |
1e701bb934720b93940c271d10980e3bdf8b28a0 | 1,963 | py | Python | cash-donations.py | davidciani/taxtools | c94f477988eb199096d837fee8fb4ab9991c82a1 | [
"MIT"
] | null | null | null | cash-donations.py | davidciani/taxtools | c94f477988eb199096d837fee8fb4ab9991c82a1 | [
"MIT"
] | null | null | null | cash-donations.py | davidciani/taxtools | c94f477988eb199096d837fee8fb4ab9991c82a1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import logging
from csv import DictReader
from datetime import date, datetime
from pathlib import Path
logger = logging.getLogger(__name__)
header = """V042
ATaxTool Donations 0.4
D{date:%Y-%m-%d}
^
"""
record_layout_1 = """TD
N280
C1
L1
${amount:0.2f}
X{payee} ({ein})
^
"""
r... | 24.234568 | 77 | 0.51299 |
1e7134f2c2c9991f667c83bc9558dfc8470c2fc4 | 6,401 | py | Python | movieClass.py | qedseung/Movie-Classifier | a20615f9c910d123f8772dbcc922eee16a9b6958 | [
"MIT"
] | null | null | null | movieClass.py | qedseung/Movie-Classifier | a20615f9c910d123f8772dbcc922eee16a9b6958 | [
"MIT"
] | null | null | null | movieClass.py | qedseung/Movie-Classifier | a20615f9c910d123f8772dbcc922eee16a9b6958 | [
"MIT"
] | null | null | null | import sys, numpy
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import MultinomialNB
#0=drama,1=comedy,2=animated,3=action/adventure
rts=[
"When Dipper and Mabel Pines get sent to their great-uncle Stan's shop in Gravity F... | 57.151786 | 680 | 0.678332 |
1e7191811954cb2d296f7fee8f8ae911aba1152c | 3,921 | py | Python | calaccess_scraped/management/commands/scrapecalaccesscandidates.py | california-civic-data-coalition/django-calaccess-scraped-data | ba5b2c81fa4e28e5028990e93ce2c579a3f88dbb | [
"MIT"
] | 1 | 2017-10-31T23:05:25.000Z | 2017-10-31T23:05:25.000Z | calaccess_scraped/management/commands/scrapecalaccesscandidates.py | california-civic-data-coalition/django-calaccess-scraped-data | ba5b2c81fa4e28e5028990e93ce2c579a3f88dbb | [
"MIT"
] | 23 | 2017-06-26T16:31:11.000Z | 2022-02-10T08:00:43.000Z | calaccess_scraped/management/commands/scrapecalaccesscandidates.py | california-civic-data-coalition/django-calaccess-scraped-data | ba5b2c81fa4e28e5028990e93ce2c579a3f88dbb | [
"MIT"
] | 1 | 2017-11-02T04:04:14.000Z | 2017-11-02T04:04:14.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Run all scraper commands.
"""
# Files
import re
import os
import csv
import glob
from bs4 import BeautifulSoup
from calaccess_scraped import get_data_directory, get_html_directory
# Django
from calaccess_scraped.management.commands import CalAccessCommand
| 36.64486 | 118 | 0.519765 |
1e72bf736fee8395ea58d44ceed5c258914b0f8a | 2,889 | py | Python | rpi_client/run.py | daniellamb2208/Face-Recogniztion-and-Internet-of-Thing | 6a8d6c65c777e3ccc0b917c84b060586d768c46a | [
"MIT"
] | null | null | null | rpi_client/run.py | daniellamb2208/Face-Recogniztion-and-Internet-of-Thing | 6a8d6c65c777e3ccc0b917c84b060586d768c46a | [
"MIT"
] | null | null | null | rpi_client/run.py | daniellamb2208/Face-Recogniztion-and-Internet-of-Thing | 6a8d6c65c777e3ccc0b917c84b060586d768c46a | [
"MIT"
] | null | null | null | import cv2
from picamera import PiCamera
from picamera.array import PiRGBArray
import numpy as np
import json
import requests
import time
import RPi.GPIO as io
import os
io.setmode(io.BOARD)
io.setup(11, io.OUT)
count = 0
try:
os.mkdir('testing')
except FileExistsError:
count = len(os.listdir('testing'))
c... | 33.988235 | 160 | 0.507096 |
1e7349005521f955a834174f1d5dba20a6e96f33 | 5,335 | py | Python | api/views/view_users.py | AlanZhl/NodUleS | 868792d7af91b6b2d42cf065653c1ea1160922c1 | [
"MIT"
] | null | null | null | api/views/view_users.py | AlanZhl/NodUleS | 868792d7af91b6b2d42cf065653c1ea1160922c1 | [
"MIT"
] | null | null | null | api/views/view_users.py | AlanZhl/NodUleS | 868792d7af91b6b2d42cf065653c1ea1160922c1 | [
"MIT"
] | null | null | null | from flask import Blueprint, jsonify, request, session
from pymongo import DESCENDING
from api.views import users
from api import collection_users
| 42.34127 | 131 | 0.574133 |
1e73a3f5003bc04637fc57d0d750073e6fcadb8d | 1,700 | py | Python | journal_club/sound.py | philastrophist/journal_club | 017a4b8dbd0d4e0d6a5d5535a08ed2913124f8da | [
"MIT"
] | null | null | null | journal_club/sound.py | philastrophist/journal_club | 017a4b8dbd0d4e0d6a5d5535a08ed2913124f8da | [
"MIT"
] | null | null | null | journal_club/sound.py | philastrophist/journal_club | 017a4b8dbd0d4e0d6a5d5535a08ed2913124f8da | [
"MIT"
] | null | null | null | import time
import os
import pyglet
from gtts import gTTS
from pydub import AudioSegment
import traceback
if __name__ == '__main__':
from journal_club import where_jc
play_sound(os.path.join(where_jc, 'countdown.wav'))
play_text('hello')
| 30.357143 | 73 | 0.556471 |
1e73c2add48c20fe5c43b5ce0c4067b41b3c86c2 | 2,131 | py | Python | ansible-devel/test/units/utils/test_display.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/units/utils/test_display.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | ansible-devel/test/units/utils/test_display.py | satishcarya/ansible | ed091e174c26316f621ac16344a95c99f56bdc43 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# (c) 2020 Matt Martz <matt@sivel.net>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from units.compat.mock import MagicMock
import pytest
from ansible.module_... | 32.287879 | 92 | 0.704833 |
1e744d2a9768775a762dc0670443f52bc8289280 | 11,797 | py | Python | plugins/modules/oci_network_byoip_range_actions.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_network_byoip_range_actions.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_network_byoip_range_actions.py | A7rMtWE57x/oci-ansible-collection | 80548243a085cd53fd5dddaa8135b5cb43612c66 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2017, 2020 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 36.076453 | 157 | 0.62838 |
1e7511d443f59d368f6c1b20379fd9fed48d9b34 | 7,491 | py | Python | vapor/fn.py | xiaket/vapor | 1c2c5dc85ac0c84571f8903733d3eadaf0a05d3c | [
"MIT"
] | null | null | null | vapor/fn.py | xiaket/vapor | 1c2c5dc85ac0c84571f8903733d3eadaf0a05d3c | [
"MIT"
] | null | null | null | vapor/fn.py | xiaket/vapor | 1c2c5dc85ac0c84571f8903733d3eadaf0a05d3c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Models that maps to Cloudformation functions.
"""
def replace_fn(node):
"""Iteratively replace all Fn/Ref in the node"""
if isinstance(node, list):
return [replace_fn(item) for item in node]
if isinstance(node, dict):
return {name: replace_fn(value) for name, val... | 23.409375 | 85 | 0.579762 |
1e76e898c35137a547e7cb6cdc28e4957557d84f | 3,010 | py | Python | adapters.py | umautobots/sim_traj | 0354b0a06c0efa06c564b143222d13e9b035e41c | [
"MIT"
] | 1 | 2020-11-23T05:48:46.000Z | 2020-11-23T05:48:46.000Z | adapters.py | umautobots/sim_traj | 0354b0a06c0efa06c564b143222d13e9b035e41c | [
"MIT"
] | null | null | null | adapters.py | umautobots/sim_traj | 0354b0a06c0efa06c564b143222d13e9b035e41c | [
"MIT"
] | 2 | 2020-06-29T20:38:42.000Z | 2020-11-24T10:19:29.000Z | import numpy as np
import pandas as pd
def batch_df2batch(df, evaluate_ids=(), n_obs=-1, tform=np.eye(3), is_vehicles_evaluated=False):
"""
Convert dataframe to SGAN input
:param df:
:param evaluate_ids:
:param n_obs: number of timesteps observed
:param tform:
:param is_vehicles_evaluat... | 33.444444 | 96 | 0.577076 |
1e789078e52f00f46c0cd236933246f1a80c7cb5 | 183 | py | Python | Beginner/SolutionByJagmeet_CheckEvenOdd.py | man21/IOSD-UIETKUK-HacktoberFest-Meetup-2019 | 8ca1a8bf95ee98d303d3a909c448288fa5992210 | [
"Apache-2.0"
] | 22 | 2019-10-02T16:48:10.000Z | 2020-11-14T23:28:41.000Z | Beginner/SolutionByJagmeet_CheckEvenOdd.py | man21/IOSD-UIETKUK-HacktoberFest-Meetup-2019 | 8ca1a8bf95ee98d303d3a909c448288fa5992210 | [
"Apache-2.0"
] | 46 | 2019-10-01T03:53:30.000Z | 2020-10-20T16:34:37.000Z | Beginner/SolutionByJagmeet_CheckEvenOdd.py | man21/IOSD-UIETKUK-HacktoberFest-Meetup-2019 | 8ca1a8bf95ee98d303d3a909c448288fa5992210 | [
"Apache-2.0"
] | 415 | 2019-10-01T03:48:22.000Z | 2021-02-27T04:57:28.000Z |
checkEvenOdd(113)
| 20.333333 | 40 | 0.480874 |
1e78de85b0f494c647173c61fac986263e3b7b1e | 3,051 | py | Python | Speaker_Verification/src/run.py | TaeYoon2/KerasSpeakerEmbedding | a4a53ac0c209a283cab4969d61305f056a99b6c3 | [
"MIT"
] | 4 | 2019-12-24T03:03:01.000Z | 2021-04-12T01:38:36.000Z | Speaker_Verification/src/run.py | TaeYoon2/KerasSpeakerEmbedding | a4a53ac0c209a283cab4969d61305f056a99b6c3 | [
"MIT"
] | null | null | null | Speaker_Verification/src/run.py | TaeYoon2/KerasSpeakerEmbedding | a4a53ac0c209a283cab4969d61305f056a99b6c3 | [
"MIT"
] | null | null | null | import os
import json
import argparse
import configparser
import warnings
import datetime
from ge2e import *
warnings.simplefilter(action='ignore', category=FutureWarning)
# arguments
# ckpt example : '/path/to/your/ckpt/cp-{:06d}.ckpt'
parser = argparse.ArgumentParser()
parser.add_argument("--mode")
parser.add_argume... | 33.527473 | 110 | 0.646018 |
1e790a5c06895bbe81bc5d5e5648146f1b0f7b48 | 16,876 | py | Python | service/build/openstack/s3p_openstack_tools.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | 4 | 2017-05-18T23:24:51.000Z | 2018-04-09T02:47:34.000Z | service/build/openstack/s3p_openstack_tools.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | null | null | null | service/build/openstack/s3p_openstack_tools.py | matt-welch/docker-devstack | e7f1902c21cdd506239a6270813c422a058e037b | [
"Apache-2.0"
] | 1 | 2020-09-30T20:12:12.000Z | 2020-09-30T20:12:12.000Z | #!/usr/bin/env python
from openstack import connection
import errno
import os
import hashlib
import pdb
from time import sleep
FLAVOR_NAME='cirros256'
SEC_GRP_NAME='s3p_secgrp'
IMAGE_NAME='cirros-0.3.4-x86_64-uec'
debug_mode=False
default_image=""
default_flavor=""
default_secgrp=""
""" Utilities """
def debug_prin... | 36.528139 | 98 | 0.675456 |
1e7af734f787f539bb408cb7fe22f61fdf7e00a2 | 420 | py | Python | Task/XML-XPath/Python/xml-xpath-3.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 5 | 2021-01-29T20:08:05.000Z | 2022-03-22T06:16:05.000Z | Task/XML-XPath/Python/xml-xpath-3.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/XML-XPath/Python/xml-xpath-3.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2021-04-13T04:19:31.000Z | 2021-04-13T04:19:31.000Z | from lxml import etree
xml = open('inventory.xml').read()
doc = etree.fromstring(xml)
doc = etree.parse('inventory.xml') # or load it directly
# Return first item
item1 = doc.xpath("//section[1]/item[1]")
# Print each price
for p in doc.xpath("//price"):
print "{0:0.2f}".format(float(p.text)) # could raise ex... | 26.25 | 113 | 0.683333 |
1e7c46ec324829705f6f197419b2fe5770318755 | 1,364 | py | Python | src/landing/views.py | drwatson88/django-leon-shop | 41a54784921e86ae7ec085522b74bfb577502d91 | [
"MIT"
] | null | null | null | src/landing/views.py | drwatson88/django-leon-shop | 41a54784921e86ae7ec085522b74bfb577502d91 | [
"MIT"
] | 1 | 2017-12-01T05:39:37.000Z | 2017-12-01T05:39:37.000Z | src/landing/views.py | dvsidorov/django-leon-shop | 41a54784921e86ae7ec085522b74bfb577502d91 | [
"MIT"
] | null | null | null | # coding: utf-8
from django.http import Http404
from .base import LandingBaseView, LandingParamsValidatorMixin
| 25.735849 | 118 | 0.642962 |
1e7c650d6d80b2875b02f52d7b6f49e86d63364a | 3,822 | bzl | Python | lib/private/directory_path.bzl | alexeagle/bazel-lib | 02be4c5f47b476e686943f53ddd47a672a51a265 | [
"Apache-2.0"
] | 16 | 2021-11-08T15:03:49.000Z | 2022-03-23T19:38:32.000Z | lib/private/directory_path.bzl | alexeagle/bazel-lib | 02be4c5f47b476e686943f53ddd47a672a51a265 | [
"Apache-2.0"
] | 29 | 2021-11-15T16:27:25.000Z | 2022-03-31T04:03:16.000Z | lib/private/directory_path.bzl | alexeagle/bazel-lib | 02be4c5f47b476e686943f53ddd47a672a51a265 | [
"Apache-2.0"
] | 3 | 2021-12-09T00:27:42.000Z | 2022-03-30T20:14:00.000Z | """Rule and corresponding provider that joins a label pointing to a TreeArtifact
with a path nested within that directory
"""
load("//lib:utils.bzl", _to_label = "to_label")
DirectoryPathInfo = provider(
doc = "Joins a label pointing to a TreeArtifact with a path nested within that directory.",
fields = {
... | 28.736842 | 108 | 0.606489 |
1e7c67e0a9f238cd366a07d35c3544885629f78b | 372 | py | Python | flashtext/flashtextDemo.py | polarbear0330/i_like_demos | e713b9833da4d2126657fe7605537fd4aaee11ef | [
"Apache-2.0"
] | 1 | 2017-05-09T09:28:35.000Z | 2017-05-09T09:28:35.000Z | flashtext/flashtextDemo.py | polarbear0330/i_like_demos | e713b9833da4d2126657fe7605537fd4aaee11ef | [
"Apache-2.0"
] | null | null | null | flashtext/flashtextDemo.py | polarbear0330/i_like_demos | e713b9833da4d2126657fe7605537fd4aaee11ef | [
"Apache-2.0"
] | null | null | null | from flashtext import KeywordProcessor
keywordProcessor = KeywordProcessor()
keywordProcessor.add_keyword_from_file("keywords.txt")
keywordProcessor.add_keyword("orange", "watermelon")
print(" ")
print(keywordProcessor.get_all_keywords())
print(keywordProcessor.extract_keywords("I like apple and Banana!"))
print(... | 26.571429 | 68 | 0.817204 |
1e7c883cf25b8c576632aac93552052d4d021b8f | 1,606 | py | Python | scheduling/create_scheduling_data/agent.py | CORE-Robotics-Lab/Personalized_Neural_Trees | 3e8dd12fe4fc850be65c96c847eb143ef3bcdc2e | [
"MIT"
] | 3 | 2021-05-22T19:25:01.000Z | 2021-12-01T07:59:56.000Z | scheduling/create_scheduling_data/agent.py | CORE-Robotics-Lab/Personalized_Neural_Trees | 3e8dd12fe4fc850be65c96c847eb143ef3bcdc2e | [
"MIT"
] | null | null | null | scheduling/create_scheduling_data/agent.py | CORE-Robotics-Lab/Personalized_Neural_Trees | 3e8dd12fe4fc850be65c96c847eb143ef3bcdc2e | [
"MIT"
] | null | null | null | import random
import numpy as np
from scheduling.create_scheduling_data.constants import *
| 26.327869 | 87 | 0.610212 |
1e7dca62a40ed40aaef4866b124c0ecada169029 | 5,238 | py | Python | rinnaicontrolr/base.py | explosivo22/rinnaicontrol-r | e5e976da8fcaa92d2c201f66ad0b66dd380cfab2 | [
"Apache-2.0"
] | 7 | 2021-01-04T15:44:22.000Z | 2021-10-21T01:48:01.000Z | rinnaicontrolr/base.py | explosivo22/rinnaicontrol-r | e5e976da8fcaa92d2c201f66ad0b66dd380cfab2 | [
"Apache-2.0"
] | 3 | 2021-06-27T14:38:09.000Z | 2021-07-02T16:47:43.000Z | rinnaicontrolr/base.py | explosivo22/rinnaicontrol-r | e5e976da8fcaa92d2c201f66ad0b66dd380cfab2 | [
"Apache-2.0"
] | 2 | 2021-06-26T19:10:37.000Z | 2021-09-08T23:52:50.000Z | """
base.py -- client for the base Rinnai API
"""
import datetime, json, logging, time
import requests
from rinnaicontrolr.aws_srp import AWSSRP
LOGGER = logging.getLogger('rinnaicontrolr')
from rinnaicontrolr.const import (
POOL_ID,
CLIENT_ID,
POOL_REGION,
GRAPHQL_ENDPOINT,
SHADOW_ENDPOINT,
... | 38.233577 | 96 | 0.645666 |
1e80fa4c9af5ba451330f474048f47351ddea636 | 1,658 | py | Python | 0x07-Session_authentication/api/v1/auth/session_db_auth.py | JoseAVallejo12/holbertonschool-web_back_end | eb514784772352b8e4873d1f648726815ab69592 | [
"MIT"
] | null | null | null | 0x07-Session_authentication/api/v1/auth/session_db_auth.py | JoseAVallejo12/holbertonschool-web_back_end | eb514784772352b8e4873d1f648726815ab69592 | [
"MIT"
] | null | null | null | 0x07-Session_authentication/api/v1/auth/session_db_auth.py | JoseAVallejo12/holbertonschool-web_back_end | eb514784772352b8e4873d1f648726815ab69592 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
SessionDBAuth class to manage API authentication
"""
from api.v1.auth.session_exp_auth import SessionExpAuth
from models.user_session import UserSession
from os import getenv
from datetime import datetime, timedelta
| 31.283019 | 68 | 0.604946 |
1e81c4c89fc725598694857a973e6932f60c90ef | 571 | py | Python | profile/migrations/0003_globalalert.py | ritstudentgovernment/PawPrints | 6f52d721d4c367a8524f49881e62a162a81469b4 | [
"Apache-2.0"
] | 15 | 2017-04-03T14:01:44.000Z | 2022-03-18T06:38:56.000Z | profile/migrations/0003_globalalert.py | ritstudentgovernment/PawPrints | 6f52d721d4c367a8524f49881e62a162a81469b4 | [
"Apache-2.0"
] | 87 | 2016-10-13T01:53:38.000Z | 2022-02-11T03:39:55.000Z | profile/migrations/0003_globalalert.py | ritstudentgovernment/PawPrints | 6f52d721d4c367a8524f49881e62a162a81469b4 | [
"Apache-2.0"
] | 8 | 2017-10-19T18:30:48.000Z | 2021-04-03T02:26:01.000Z | # Generated by Django 2.1.3 on 2019-02-12 19:18
from django.db import migrations, models
| 25.954545 | 114 | 0.574431 |
1e821600f426b0031e0126caa9f2a682bf5c9465 | 1,029 | py | Python | agent/src/agent/pipeline/config/validators.py | eacherkan-aternity/daria | 7c77a2f52c09c852017b16949a848fa51f0fb579 | [
"Apache-2.0"
] | null | null | null | agent/src/agent/pipeline/config/validators.py | eacherkan-aternity/daria | 7c77a2f52c09c852017b16949a848fa51f0fb579 | [
"Apache-2.0"
] | null | null | null | agent/src/agent/pipeline/config/validators.py | eacherkan-aternity/daria | 7c77a2f52c09c852017b16949a848fa51f0fb579 | [
"Apache-2.0"
] | null | null | null | import click
from agent.pipeline.validators import elastic_query, jdbc_query
from agent import source
def get_config_validator(source_type: str) -> BaseValidator:
if source_type == source.TYPE_ELASTIC:
return ElasticValidator()
if source_type in [source.TYPE_MYSQL, source.TYPE_POSTGRES, source.TYP... | 27.810811 | 114 | 0.71137 |
1e82a2e65e1b2723a928d80fb55eaebd1e00c3cf | 157 | py | Python | recette/__init__.py | pennacchio/recette | 1749b0d7763498420102588e377d1c68fd0df19f | [
"MIT"
] | null | null | null | recette/__init__.py | pennacchio/recette | 1749b0d7763498420102588e377d1c68fd0df19f | [
"MIT"
] | null | null | null | recette/__init__.py | pennacchio/recette | 1749b0d7763498420102588e377d1c68fd0df19f | [
"MIT"
] | null | null | null | from recette.steps import prep_step_dummy, prep_step_other
from recette.utils import combine
# Package version single source of truth
__version__ = "0.2.1"
| 26.166667 | 58 | 0.815287 |
1e83cc5ace6389d49515b8bb52aa92f497f1598a | 2,103 | py | Python | others/process.py | MaxMorning/DigitalLogicFinalProject | d1db9239141f22571ec31baf9ee38f65452f1046 | [
"MIT"
] | 3 | 2021-06-02T06:02:42.000Z | 2022-03-24T03:06:03.000Z | others/process.py | MaxMorning/Handwritting-number-distinguishing-with-DNN-by-Nexys-4-DDR-in-Verilog-HDL | d1db9239141f22571ec31baf9ee38f65452f1046 | [
"MIT"
] | null | null | null | others/process.py | MaxMorning/Handwritting-number-distinguishing-with-DNN-by-Nexys-4-DDR-in-Verilog-HDL | d1db9239141f22571ec31baf9ee38f65452f1046 | [
"MIT"
] | null | null | null | import numpy as npy
file = open('16bit.coe', 'w')
file_str = "memory_initialization_radix=16;\nmemory_initialization_vector=\n"
# fc1 params
fc1_w = npy.load('dense_kernel_0.npy')
for r in range(128):
cnt_128 = 0
unit_128_8 = ''
for c in range(1024):
unit_128_8 += convert(fc1_w[c][r])
if ... | 23.897727 | 77 | 0.539705 |
1e83cf7e8c71fadb797ac164daf1d631592fe738 | 3,232 | py | Python | src/illumidesk/spawners/spawner.py | 1kastner/illumidesk | d4b3a6b964d7cf9f705ff70513491247e01e701f | [
"MIT"
] | null | null | null | src/illumidesk/spawners/spawner.py | 1kastner/illumidesk | d4b3a6b964d7cf9f705ff70513491247e01e701f | [
"MIT"
] | 1 | 2020-04-24T16:58:52.000Z | 2020-04-24T16:58:52.000Z | src/illumidesk/spawners/spawner.py | netoisc/illumidesk | 41b99594ac576247f3432b750157c6384b93bc47 | [
"MIT"
] | null | null | null | import os
import shutil
from dockerspawner import DockerSpawner
| 38.47619 | 85 | 0.623762 |
1e841dc895711459461cf19b50a2ec4264cab0f1 | 2,664 | py | Python | index_server/containers/bgsplit_trainer/test.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 1 | 2020-12-01T23:25:58.000Z | 2020-12-01T23:25:58.000Z | index_server/containers/bgsplit_trainer/test.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 2 | 2020-10-07T01:03:06.000Z | 2020-10-12T19:08:55.000Z | index_server/containers/bgsplit_trainer/test.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | null | null | null | from main import TrainingJob
import threading
import os.path
if __name__ == "__main__":
main()
| 106.56 | 1,858 | 0.771396 |
1e8567be9870d63385b355af8801e4fe48be9f55 | 2,491 | py | Python | app_code/models.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | app_code/models.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | app_code/models.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | from django.db import models
from app_asset.models import Host
# Create your models here.
| 38.323077 | 81 | 0.747491 |
1e87910226616d3fa7c8ac22c9ed3299c7eed97d | 2,681 | py | Python | validation_multi.py | angelnew/biblioeater | b4da9235f845c9256f1b8d35e8a93df8b07cfb5e | [
"MIT"
] | 4 | 2019-03-08T05:37:45.000Z | 2019-04-27T10:22:14.000Z | validation_multi.py | angelnew/biblioeater | b4da9235f845c9256f1b8d35e8a93df8b07cfb5e | [
"MIT"
] | 5 | 2020-01-28T22:38:33.000Z | 2021-08-25T15:28:29.000Z | validation_multi.py | angelnew/biblioeater | b4da9235f845c9256f1b8d35e8a93df8b07cfb5e | [
"MIT"
] | null | null | null | import os
from constants import *
from the_logger import nlp_logger
from padder import pad
from book import Book
import pickle
import numpy as np
# Load the books
pym = Book("Arthur Gordon Pym")
tom = Book("Tom Sawyer")
eureka = Book("Eureka")
huck = Book("Huckleberry Finn")
pym.from_file(PYM_FILE)
tom.from_file(TO... | 34.818182 | 96 | 0.737038 |
1e87a340fe677994ba73b659883de9bb7ca0a836 | 11,022 | py | Python | project/views.py | Ylmz42/asdfasdf | 31ddeb659773abc1bbefb6d34c8486a02b1ae4b0 | [
"MIT"
] | null | null | null | project/views.py | Ylmz42/asdfasdf | 31ddeb659773abc1bbefb6d34c8486a02b1ae4b0 | [
"MIT"
] | 1 | 2021-06-10T21:53:30.000Z | 2021-06-10T21:53:30.000Z | project/views.py | Ylmz42/asdfasdf | 31ddeb659773abc1bbefb6d34c8486a02b1ae4b0 | [
"MIT"
] | 2 | 2019-08-21T07:59:15.000Z | 2019-08-26T10:40:26.000Z | from django.contrib.auth import authenticate, login
from django.contrib.auth import logout
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, get_object_or_404
from django.db.models import Q
from .forms import ProjectForm, ApplicationForm, UserForm
from .models import Project, Appli... | 33.603659 | 191 | 0.647705 |
1e89cbffc4a91ed54b3053c35f0260697741a47e | 2,618 | py | Python | git_diff_ssr2_osm_wrapper.py | obtitus/ssr2_to_osm | 3674b3d78666e79306af237630782d6892986853 | [
"WTFPL"
] | 1 | 2018-04-02T13:04:43.000Z | 2018-04-02T13:04:43.000Z | git_diff_ssr2_osm_wrapper.py | obtitus/ssr2_to_osm | 3674b3d78666e79306af237630782d6892986853 | [
"WTFPL"
] | null | null | null | git_diff_ssr2_osm_wrapper.py | obtitus/ssr2_to_osm | 3674b3d78666e79306af237630782d6892986853 | [
"WTFPL"
] | null | null | null | #/usr/bin/env python
import sys
import logging
logger = logging.getLogger('utility_to_osm.ssr2.git_diff')
import utility_to_osm.file_util as file_util
from osmapis_stedsnr import OSMstedsnr
if __name__ == '__main__':
logging.basicConfig(level=logging.DEBUG)
# diff is called by git with 7 parameters:
... | 37.4 | 113 | 0.590145 |
1e8ad64286a3ee8ba55afc96aafdce9505635ffd | 14,490 | py | Python | civismlext/test/test_hyperband.py | viacheslav-m/civisml-extensions | e33dba67d39ec1d94bde1a0471ceb20d308d2fb7 | [
"BSD-3-Clause"
] | null | null | null | civismlext/test/test_hyperband.py | viacheslav-m/civisml-extensions | e33dba67d39ec1d94bde1a0471ceb20d308d2fb7 | [
"BSD-3-Clause"
] | null | null | null | civismlext/test/test_hyperband.py | viacheslav-m/civisml-extensions | e33dba67d39ec1d94bde1a0471ceb20d308d2fb7 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from __future__ import division
import pytest
from scipy.stats import expon, randint, rankdata
import numpy as np
from sklearn.base import BaseEstimator, ClassifierMixin
try:
from sklearn.utils._testing import assert_array_equal
except ModuleNotFoundError:
from sklearn.u... | 36.870229 | 79 | 0.594479 |
1e8b170787a661b47b55daff06b3f3213a1a7b64 | 389 | py | Python | test-data/mkpasswd.py | colorshifter/lsd-members | 2b8516eb5ef890e7f0dba456246e0448f2150c2c | [
"MIT"
] | 1 | 2016-08-22T20:43:06.000Z | 2016-08-22T20:43:06.000Z | test-data/mkpasswd.py | colorshifter/lsd-members | 2b8516eb5ef890e7f0dba456246e0448f2150c2c | [
"MIT"
] | 2 | 2017-12-07T08:55:18.000Z | 2018-09-10T12:02:48.000Z | test-data/mkpasswd.py | colorshifter/lsd-members | 2b8516eb5ef890e7f0dba456246e0448f2150c2c | [
"MIT"
] | 2 | 2016-11-21T11:06:20.000Z | 2018-06-14T07:28:31.000Z | #!/usr/bin/env python3
import uuid
from passlib.hash import pbkdf2_sha512
password = input('Enter password: ')
password_parts = pbkdf2_sha512.encrypt(password, salt_size=32).split('$')
password = password_parts[4]
salt = password_parts[3]
print('Password: ' + convert_b64(password))
print('Salt: ' + convert_b64(sal... | 20.473684 | 73 | 0.717224 |
1e8b5e801fb33480ceaca4540478760d9fe24dde | 1,480 | py | Python | SVassembly/__init__.py | AV321/SVPackage | c9c625af7f5047ddb43ae79f8beb2ce9aadf7697 | [
"MIT"
] | null | null | null | SVassembly/__init__.py | AV321/SVPackage | c9c625af7f5047ddb43ae79f8beb2ce9aadf7697 | [
"MIT"
] | null | null | null | SVassembly/__init__.py | AV321/SVPackage | c9c625af7f5047ddb43ae79f8beb2ce9aadf7697 | [
"MIT"
] | 1 | 2019-01-22T19:16:24.000Z | 2019-01-22T19:16:24.000Z | from SVassembly import bedpe2window_f
from bedpe2window_f import bedpe2window
from SVassembly import get_shared_bcs_f
from get_shared_bcs_f import get_shared_bcs
from SVassembly import assign_sv_haps_f
from assign_sv_haps_f import assign_sv_haps
from SVassembly import count_bcs_f
from count_bcs_f import count_bcs #c... | 31.489362 | 75 | 0.877703 |
1e8b7a87cd18bdcc0ff56d000a8a800cceb9a789 | 476 | py | Python | setup.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | null | null | null | setup.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | null | null | null | setup.py | uofuseismo/shakemap-aqms | 228dc31fa987c71e48c70896946c54677497ce4a | [
"CC0-1.0"
] | null | null | null | from distutils.core import setup
import os.path
setup(name='shakemap_aqms',
version='1.0',
description='AQMS Modules for ShakeMap',
author='Bruce Worden',
author_email='cbworden@usgs.gov',
url='http://github.com/cbworden/shakemap-aqms',
packages=['shakemap_aqms',
's... | 25.052632 | 56 | 0.57563 |
1e8dbb3b55ccce05313b9ede8833517462017519 | 2,446 | py | Python | exercicios-Python/ex071.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | exercicios-Python/ex071.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | exercicios-Python/ex071.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | # Programa Simulador de Caixa Eletrnico
# O caixa possui cdulas de 50, 20, 10 e 1
# Forma 1 = MINHA FORMA, COMPLICADA, MEIO NO CHUTE
print('=' * 50)
print('{:^50}'.format(' BANCO SIMES '))
print('=' * 50)
valor = int(input('Qual valor voc quer sacar: R$'))
while True:
if valor % 50 != 1:
if valor // 50 > ... | 39.451613 | 119 | 0.563369 |
1e8e9df20ccdcd4d2401718bd824b567efdf4520 | 1,583 | py | Python | external/lemonade/dist/examples/calc/calc.py | almartin82/bayeslite | a27f243b5f16cc6a01e84336a829e5b65d665b7b | [
"Apache-2.0"
] | 964 | 2015-09-24T15:02:05.000Z | 2022-03-29T21:41:21.000Z | external/lemonade/dist/examples/calc/calc.py | almartin82/bayeslite | a27f243b5f16cc6a01e84336a829e5b65d665b7b | [
"Apache-2.0"
] | 435 | 2015-09-23T16:46:58.000Z | 2020-04-19T12:32:03.000Z | external/lemonade/dist/examples/calc/calc.py | almartin82/bayeslite | a27f243b5f16cc6a01e84336a829e5b65d665b7b | [
"Apache-2.0"
] | 86 | 2015-10-24T20:08:30.000Z | 2021-08-09T13:53:00.000Z |
import sys
# generate and import our grammar
exec generateGrammar() in globals()
#
# the lexer
#
tokenType = {
'+': PLUS,
'-': MINUS,
'/': DIVIDE,
'*': TIMES,
}
#
# the delegate
#
p = Parser(Delegate())
#p.trace(sys.stdout, "# ")
if len(sys.argv) == 2:
p.parse(tokenize(sys.argv[1]))
... | 18.195402 | 64 | 0.576121 |
1e900a65b6846f2a1190992044167004788fc442 | 6,531 | py | Python | netlist.py | phdbreak/netlist_parser.py | 579a10592442ed27179ea7c56d33b6cbd72230d0 | [
"Apache-2.0"
] | 11 | 2019-05-18T08:22:29.000Z | 2022-01-23T01:05:39.000Z | netlist.py | phdbreak/netlist_parser.py | 579a10592442ed27179ea7c56d33b6cbd72230d0 | [
"Apache-2.0"
] | null | null | null | netlist.py | phdbreak/netlist_parser.py | 579a10592442ed27179ea7c56d33b6cbd72230d0 | [
"Apache-2.0"
] | 3 | 2017-10-26T08:03:34.000Z | 2018-04-09T21:30:04.000Z |
# Parent tree
# design
# |---> module
# |-----> port/wire
# |-----> instance
# |-----> pin
# def __eq__(self, other):
# equal = True
# if not (self.name == other.name):
# equal = False
# if not __eq_dict__(self.ports, other.ports):
# ... | 34.739362 | 166 | 0.562089 |
1e903a5ee13f21d7e469c538e10d7d3cff2f1d80 | 1,606 | py | Python | scripts/test_publisher_twist_stamped.py | nbfigueroa-rlic/robot_kinematics_kdl | 6f471c4e8f781e87c4309f348104a0fd299f66ce | [
"MIT"
] | null | null | null | scripts/test_publisher_twist_stamped.py | nbfigueroa-rlic/robot_kinematics_kdl | 6f471c4e8f781e87c4309f348104a0fd299f66ce | [
"MIT"
] | null | null | null | scripts/test_publisher_twist_stamped.py | nbfigueroa-rlic/robot_kinematics_kdl | 6f471c4e8f781e87c4309f348104a0fd299f66ce | [
"MIT"
] | 1 | 2020-06-02T17:31:42.000Z | 2020-06-02T17:31:42.000Z | #!/usr/bin/env python
#
# Copyright 2017 Fraunhofer Institute for Manufacturing Engineering and Automation (IPA)
#
# 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/li... | 32.77551 | 93 | 0.767746 |
1e9111a357422a83f99959f2213dfd317b897e61 | 683 | py | Python | vector_nba/nba_api.py | rsforbes/vector-nba | ccd5a52d8e43635778c2b6c67d5d4a73328248a7 | [
"BSD-2-Clause"
] | 1 | 2022-02-12T01:19:27.000Z | 2022-02-12T01:19:27.000Z | vector_nba/nba_api.py | rsforbes/vector-nba | ccd5a52d8e43635778c2b6c67d5d4a73328248a7 | [
"BSD-2-Clause"
] | null | null | null | vector_nba/nba_api.py | rsforbes/vector-nba | ccd5a52d8e43635778c2b6c67d5d4a73328248a7 | [
"BSD-2-Clause"
] | null | null | null | import datetime
from nba_api.stats.endpoints import Scoreboard
from nba_api.stats.library.parameters import LeagueID
from nba_api.stats.library.data import teams | 32.52381 | 66 | 0.670571 |
1e91ee4ed75cd5684a09cdfca97600ada996bdc1 | 2,347 | py | Python | code/parallel.py | RuthAngus/kepler_ages | 23a184c91dbe6437412e3db7650b62972444e701 | [
"MIT"
] | null | null | null | code/parallel.py | RuthAngus/kepler_ages | 23a184c91dbe6437412e3db7650b62972444e701 | [
"MIT"
] | null | null | null | code/parallel.py | RuthAngus/kepler_ages | 23a184c91dbe6437412e3db7650b62972444e701 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import os
import sys
import numpy as np
import pandas as pd
import h5py
import tqdm
import emcee
import stardate as sd
from stardate.lhf import age_model
from isochrones import get_ichrone
mist = get_ichrone('mist')
from multiprocessing import Pool
# Necessary to add cwd to path when script run
#... | 31.293333 | 78 | 0.622071 |
1e91f972e08fae3277b408073143e123c8f24ebf | 1,241 | py | Python | Sort/20_stack_sort.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | 7 | 2021-12-28T23:38:42.000Z | 2022-03-29T16:36:16.000Z | Sort/20_stack_sort.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | null | null | null | Sort/20_stack_sort.py | Szymon-Budziak/ASD_exercises_solutions | 36ccbdae03a6c7e4ad141a2b7b01bef9353574ee | [
"MIT"
] | 4 | 2021-06-29T20:21:52.000Z | 2022-03-12T10:04:17.000Z | # Find algorithm that sorts the stack of size n in O(log(n)) time. It is allowed to use operations
# provided only by the stack interface: push(), pop(), top(), isEmpty() and additional stacks.
T = [7, 10, 7, 87, 5, 53, 10, 15, 49, 1, 73, 14, 8, 68, 2, 32, 23, 41, 35, 98, 26]
stack = create_stack(T)
print(sort_sta... | 24.82 | 98 | 0.601128 |
1e92a9ea927a603d196aae37f60d76efeb6c0f78 | 4,170 | py | Python | nvc-core/nvc/libs/utils.py | BiznetGIO/nvc-lite | 018f144e0d37ddfca05e56b5b62e21814d63951f | [
"MIT"
] | null | null | null | nvc-core/nvc/libs/utils.py | BiznetGIO/nvc-lite | 018f144e0d37ddfca05e56b5b62e21814d63951f | [
"MIT"
] | 2 | 2021-04-20T17:08:44.000Z | 2021-09-23T23:24:13.000Z | nvc-core/nvc/libs/utils.py | BiznetGIO/nvc-lite | 018f144e0d37ddfca05e56b5b62e21814d63951f | [
"MIT"
] | null | null | null | import yaml
import os
import subprocess
import coloredlogs
import logging
import psutil
import shutil
import hashlib
import uuid
import fileinput
import requests
from nvc import __appname__
from dotenv import load_dotenv
import git
app_root = os.path.dirname(os.path.abspath(__file__))
app_home = os.path.expanduser("~... | 20.541872 | 67 | 0.594005 |
1e9379e5b3b2bc4ac79a3648f31470e66c317df6 | 376 | py | Python | weeby/overlays.py | asheeeshh/weeby.py | 3da48e55bd1f824902bb7b2f7d31675cdeb080b6 | [
"MIT"
] | 5 | 2021-10-19T11:46:47.000Z | 2022-02-28T03:29:16.000Z | weeby/overlays.py | asheeeshh/weeby.py | 3da48e55bd1f824902bb7b2f7d31675cdeb080b6 | [
"MIT"
] | null | null | null | weeby/overlays.py | asheeeshh/weeby.py | 3da48e55bd1f824902bb7b2f7d31675cdeb080b6 | [
"MIT"
] | 1 | 2021-12-09T08:53:43.000Z | 2021-12-09T08:53:43.000Z | from . import config
from .util import make_request, image_request | 34.181818 | 67 | 0.662234 |
1e93ac91aee06f027f96435be13dad3be14c5158 | 3,128 | py | Python | tests/lib/bes/cli/test_cli.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/cli/test_cli.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/cli/test_cli.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
from collections import namedtuple
import os.path as path
from bes.testing.program_unit_test import program_unit_test
from bes.fs.file_util import file_util
from bes.system.host import host
if __name_... | 28.962963 | 101 | 0.693734 |
1e959c7f5582470117ae527ddc48b7fe17a21dad | 6,212 | py | Python | Linked Lists/palindrome.py | henryoliver/cracking-coding-interview-solutions | 240dc1d1676230e30363e931783f3166b2d69c28 | [
"MIT"
] | 2 | 2020-06-11T02:54:34.000Z | 2021-06-28T20:21:08.000Z | Linked Lists/palindrome.py | henryoliver/cracking-coding-interview-solutions | 240dc1d1676230e30363e931783f3166b2d69c28 | [
"MIT"
] | null | null | null | Linked Lists/palindrome.py | henryoliver/cracking-coding-interview-solutions | 240dc1d1676230e30363e931783f3166b2d69c28 | [
"MIT"
] | null | null | null | import sys
sys.path.append('../../Data Structures')
from stack import Stack
def isPalindrome(linkedList={}):
'''
Solution 1 - Hash map
Complexity Analysis
O(n) time | O(n) space
Check if a linked list is a palindrome
dict: linkedList
return: True if its palindrome
'''
# Graceful... | 31.85641 | 237 | 0.553767 |