hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | 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 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 3 248 | max_forks_repo_name stringlengths 5 125 | 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 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
60ead80e847ae9dc084472d4e5417a3a4311cbff | 9,413 | py | Python | analisis_de_variables.py | scmarquez/Hause-Price-Kaggle-Competition | 5fe32fed87a7bf2c6e5f41761ea1c4dd00761f21 | [
"MIT"
] | null | null | null | analisis_de_variables.py | scmarquez/Hause-Price-Kaggle-Competition | 5fe32fed87a7bf2c6e5f41761ea1c4dd00761f21 | [
"MIT"
] | null | null | null | analisis_de_variables.py | scmarquez/Hause-Price-Kaggle-Competition | 5fe32fed87a7bf2c6e5f41761ea1c4dd00761f21 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 29 16:40:53 2017
@author: Sergio
"""
#Analisis de variables
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import ensemble, tree, linear_model
from sklearn.model_selection import train_test_split, cr... | 41.46696 | 147 | 0.739403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,509 | 0.581425 |
60eb25016e8dffa48a7ee4e49cffca99635d22f2 | 566 | py | Python | query-gen.py | mdatsev/prostgres | 3418258a8b832546ef4d5009867bf1cf79248b7b | [
"Unlicense"
] | null | null | null | query-gen.py | mdatsev/prostgres | 3418258a8b832546ef4d5009867bf1cf79248b7b | [
"Unlicense"
] | null | null | null | query-gen.py | mdatsev/prostgres | 3418258a8b832546ef4d5009867bf1cf79248b7b | [
"Unlicense"
] | null | null | null | import random
import sys
ntables = 100
ncols = 100
nrows = 10000
def printstderr(s):
sys.stderr.write(s + '\n')
sys.stderr.flush()
def get_value():
return random.randint(-99999999, 99999999)
for t in range(ntables):
printstderr(f'{t}/{ntables}')
print(f"create table x ({','.join(['x int'] * ncols)});")
... | 21.769231 | 76 | 0.609541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.310954 |
60ebcdffbce13db306c3a548fbb31af96bfe8e29 | 1,549 | py | Python | molecule/default/tests/test_default.py | joshbenner/sensu-ansible-role | ecc92ba3462d7edf50ad96ddda61080ba58c29f8 | [
"BSD-3-Clause"
] | null | null | null | molecule/default/tests/test_default.py | joshbenner/sensu-ansible-role | ecc92ba3462d7edf50ad96ddda61080ba58c29f8 | [
"BSD-3-Clause"
] | 1 | 2018-10-31T03:14:05.000Z | 2018-10-31T03:14:05.000Z | molecule/default/tests/test_default.py | joshbenner/sensu-ansible-role | ecc92ba3462d7edf50ad96ddda61080ba58c29f8 | [
"BSD-3-Clause"
] | null | null | null | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
def test_packages(host):
package = host.package('sensu')
assert package.is_installed
assert '1.7.0' in package.version
def test_di... | 24.587302 | 70 | 0.713363 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 358 | 0.231117 |
60ec05a1e04f7befa5818096872bdb308d2b1dde | 4,552 | py | Python | wgskex/worker/netlink.py | moepman/wgskex | 7a931088b5910f8034ad5a1362777e08c47c42fe | [
"0BSD"
] | 2 | 2021-01-05T23:42:35.000Z | 2021-10-03T14:12:30.000Z | wgskex/worker/netlink.py | moepman/wgskex | 7a931088b5910f8034ad5a1362777e08c47c42fe | [
"0BSD"
] | null | null | null | wgskex/worker/netlink.py | moepman/wgskex | 7a931088b5910f8034ad5a1362777e08c47c42fe | [
"0BSD"
] | null | null | null | import hashlib
import logging
import re
from dataclasses import dataclass
from datetime import datetime, timedelta
from textwrap import wrap
from typing import Dict, List
from pyroute2 import IPRoute, NDB, WireGuard
from wgskex.common.utils import mac2eui64
logger = logging.getLogger(__name__)
# TODO make loglevel c... | 30.756757 | 115 | 0.639719 | 1,078 | 0.236819 | 0 | 0 | 1,089 | 0.239236 | 0 | 0 | 1,118 | 0.245606 |
60ec772a2bff1ce4c7f82d3ad31a4b3889b15287 | 708 | py | Python | api/main.py | Ju99ernaut/super-fastapi | 83c232bcaff1006d413a9945ced3ba398b673505 | [
"MIT"
] | null | null | null | api/main.py | Ju99ernaut/super-fastapi | 83c232bcaff1006d413a9945ced3ba398b673505 | [
"MIT"
] | null | null | null | api/main.py | Ju99ernaut/super-fastapi | 83c232bcaff1006d413a9945ced3ba398b673505 | [
"MIT"
] | null | null | null | import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from routes import items
import config
from constants import *
config.parse_args()
app = FastAPI(
title="API",
description="API boilerplate",
version="1.0.0",
openapi_tags=API_TAGS_METADATA,
)
app.add_midd... | 18.153846 | 82 | 0.686441 | 0 | 0 | 0 | 0 | 106 | 0.149718 | 92 | 0.129944 | 105 | 0.148305 |
60ed370b9d6be678d96e0ec349072e5fb104c1f2 | 1,582 | py | Python | gellifinsta/models.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | gellifinsta/models.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | gellifinsta/models.py | vallka/djellifique | fb84fba6be413f9d38276d89ae84aeaff761218f | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.html import mark_safe
# Create your models here.
class Gellifinsta(models.Model):
class Meta:
ordering = ['-taken_at_datetime']
shortcode = models.CharField(_("Shortcode"), max_length=20)
taken_... | 35.954545 | 91 | 0.689633 | 1,425 | 0.900759 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.147914 |
60ed6b24088a86522dceda37eeecc0306f7958dc | 1,335 | py | Python | scanBase/migrations/0003_ipsection.py | wsqy/sacn_server | e91a41a71b27926fbcfbe3f22bbb6bbc61b39461 | [
"Apache-2.0"
] | null | null | null | scanBase/migrations/0003_ipsection.py | wsqy/sacn_server | e91a41a71b27926fbcfbe3f22bbb6bbc61b39461 | [
"Apache-2.0"
] | null | null | null | scanBase/migrations/0003_ipsection.py | wsqy/sacn_server | e91a41a71b27926fbcfbe3f22bbb6bbc61b39461 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-01-16 13:35
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('scanBase', '0002_auto_20180116_1321'),
]
operations ... | 40.454545 | 140 | 0.612734 | 1,188 | 0.862745 | 0 | 0 | 0 | 0 | 0 | 0 | 326 | 0.236747 |
60edce602ee84c179651834e36a3725524081131 | 3,522 | py | Python | sts/train.py | LostCow/KLUE | 73b1b0526cf6b1b6f5ef535b9527d8abe6ca1a77 | [
"MIT"
] | 18 | 2021-12-22T09:41:24.000Z | 2022-03-19T12:54:30.000Z | sts/train.py | LostCow/KLUE | 73b1b0526cf6b1b6f5ef535b9527d8abe6ca1a77 | [
"MIT"
] | null | null | null | sts/train.py | LostCow/KLUE | 73b1b0526cf6b1b6f5ef535b9527d8abe6ca1a77 | [
"MIT"
] | 4 | 2021-12-26T11:31:46.000Z | 2022-03-28T07:55:45.000Z | import argparse
import numpy as np
import os
import torch
from transformers import AutoTokenizer, AutoConfig, Trainer, TrainingArguments
from model import RobertaForStsRegression
from dataset import KlueStsWithSentenceMaskDataset
from utils import read_json, seed_everything
from metric import compute_metrics
def ma... | 37.073684 | 87 | 0.727144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 468 | 0.132879 |
60edf40403e6f66a0e02912003729be0d59531bb | 1,760 | py | Python | test/test_base_client.py | walkr/nanoservice | e2098986b1baa5f283167ae487d14f3c6c21961a | [
"MIT"
] | 28 | 2015-03-26T10:25:31.000Z | 2022-01-31T21:59:11.000Z | test/test_base_client.py | walkr/nanoservice | e2098986b1baa5f283167ae487d14f3c6c21961a | [
"MIT"
] | 3 | 2015-09-14T04:10:04.000Z | 2020-01-29T03:52:05.000Z | test/test_base_client.py | walkr/nanoservice | e2098986b1baa5f283167ae487d14f3c6c21961a | [
"MIT"
] | 9 | 2015-09-10T08:11:37.000Z | 2020-11-08T10:41:51.000Z | import unittest
from nanoservice import Responder
from nanoservice import Requester
class BaseTestCase(unittest.TestCase):
def setUp(self):
addr = 'inproc://test'
self.client = Requester(addr)
self.service = Responder(addr)
self.service.register('divide', lambda x, y: x / y)
... | 29.830508 | 62 | 0.630682 | 1,621 | 0.921023 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.107955 |
60f1a087b3bdc065cf389f51df6915d8dc0b8312 | 563 | py | Python | airtech_api/flight/models.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | 1 | 2019-04-04T12:27:55.000Z | 2019-04-04T12:27:55.000Z | airtech_api/flight/models.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | 34 | 2019-03-26T11:18:17.000Z | 2022-02-10T08:12:36.000Z | airtech_api/flight/models.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | null | null | null | from airtech_api.utils.auditable_model import AuditableBaseModel
from django.db import models
# Create your models here.
class Flight(AuditableBaseModel):
class Meta:
db_table = 'Flight'
capacity = models.IntegerField(null=False)
location = models.TextField(null=False)
destination = models.Te... | 28.15 | 73 | 0.706927 | 439 | 0.779751 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.138544 |
60f2562d19bb7ab823ff8910d39c430258f1cd35 | 723 | py | Python | Sensor Fusion and Tracking/Kalman Filters/Gaussian/gaussian.py | kaka-lin/autonomous-driving-notes | 6c1b29752d6deb679637766b6cea5c6fe5b72319 | [
"MIT"
] | null | null | null | Sensor Fusion and Tracking/Kalman Filters/Gaussian/gaussian.py | kaka-lin/autonomous-driving-notes | 6c1b29752d6deb679637766b6cea5c6fe5b72319 | [
"MIT"
] | null | null | null | Sensor Fusion and Tracking/Kalman Filters/Gaussian/gaussian.py | kaka-lin/autonomous-driving-notes | 6c1b29752d6deb679637766b6cea5c6fe5b72319 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def gaussian(x, mean, std):
std2 = np.power(std, 2)
return (1 / np.sqrt(2* np.pi * std2)) * np.exp(-.5 * (x - mean)**2 / std2)
if __name__ == "__main__":
gauss_1 = gaussian(10, 8, 2) # 0.12098536225957168
gauss_2 = gaussian(10, 10, 2) # 0.1994711402... | 23.322581 | 78 | 0.580913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.213605 |
60f26fe4816d83e373acca7a0999becfe86e2ce4 | 9,029 | py | Python | part19/test_interpreter.py | fazillatheef/lsbasi | 07e1a14516156a21ebe2d82e0bae4bba5ad73dd6 | [
"MIT"
] | 1,682 | 2015-06-15T11:42:03.000Z | 2022-03-29T12:40:35.000Z | part19/test_interpreter.py | fazillatheef/lsbasi | 07e1a14516156a21ebe2d82e0bae4bba5ad73dd6 | [
"MIT"
] | 10 | 2017-06-22T11:35:21.000Z | 2022-02-26T17:37:42.000Z | part19/test_interpreter.py | fazillatheef/lsbasi | 07e1a14516156a21ebe2d82e0bae4bba5ad73dd6 | [
"MIT"
] | 493 | 2015-07-05T09:05:09.000Z | 2022-03-28T03:33:33.000Z | import unittest
class LexerTestCase(unittest.TestCase):
def makeLexer(self, text):
from spi import Lexer
lexer = Lexer(text)
return lexer
def test_tokens(self):
from spi import TokenType
records = (
('234', TokenType.INTEGER_CONST, 234),
('3.14'... | 27.95356 | 84 | 0.507144 | 8,949 | 0.99114 | 0 | 0 | 0 | 0 | 0 | 0 | 2,517 | 0.278768 |
60f465712817804b710d37a55f88faebafc8ed3c | 1,675 | py | Python | bot_components/configurator.py | Ferlern/Arctic-Tundra | 407b8c38c31f6c930df662e87ced527b9fd26c61 | [
"MIT"
] | 3 | 2021-11-05T20:22:05.000Z | 2022-02-14T12:12:31.000Z | bot_components/configurator.py | Ferlern/Arctic-Tundra | 407b8c38c31f6c930df662e87ced527b9fd26c61 | [
"MIT"
] | null | null | null | bot_components/configurator.py | Ferlern/Arctic-Tundra | 407b8c38c31f6c930df662e87ced527b9fd26c61 | [
"MIT"
] | null | null | null | import json
from typing import TypedDict
from .bot_emoji import AdditionalEmoji
class Warn(TypedDict):
text: str
mute_time: int
ban: bool
class PersonalVoice(TypedDict):
categoty: int
price: int
slot_price: int
bitrate_price: int
class System(TypedDict):
token: str
initial_exte... | 21.202532 | 69 | 0.666269 | 1,518 | 0.906269 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.039403 |
60f6336cf78fe6b4d87ec03f5cf82a49ade1394b | 3,493 | py | Python | recnn/utils/plot.py | ihash5/reinforcement-learning | c72e9db33c6ed6abd34e9f48012189369b7cd5d0 | [
"Apache-2.0"
] | 1 | 2021-04-10T08:21:21.000Z | 2021-04-10T08:21:21.000Z | recnn/utils/plot.py | ihash5/reinforcement-learning | c72e9db33c6ed6abd34e9f48012189369b7cd5d0 | [
"Apache-2.0"
] | null | null | null | recnn/utils/plot.py | ihash5/reinforcement-learning | c72e9db33c6ed6abd34e9f48012189369b7cd5d0 | [
"Apache-2.0"
] | null | null | null | from scipy.spatial import distance
from scipy import ndimage
import matplotlib.pyplot as plt
import torch
from scipy import stats
import numpy as np
def pairwise_distances_fig(embs):
embs = embs.detach().cpu().numpy()
similarity_matrix_cos = distance.cdist(embs, embs, 'cosine')
similarity_matrix_euc = dis... | 30.373913 | 96 | 0.590896 | 2,118 | 0.606356 | 0 | 0 | 927 | 0.265388 | 0 | 0 | 321 | 0.091898 |
60f7e54acc60354d75596811ff04f18911fc24eb | 6,362 | py | Python | tests/integration/insights/v1/call/test_metric.py | pazzy-stack/twilio | d3b9b9f1b17b9de89b2528e8d2ffd33edf9676e0 | [
"MIT"
] | null | null | null | tests/integration/insights/v1/call/test_metric.py | pazzy-stack/twilio | d3b9b9f1b17b9de89b2528e8d2ffd33edf9676e0 | [
"MIT"
] | null | null | null | tests/integration/insights/v1/call/test_metric.py | pazzy-stack/twilio | d3b9b9f1b17b9de89b2528e8d2ffd33edf9676e0 | [
"MIT"
] | null | null | null | # coding=utf-8
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class MetricTestCase(Integratio... | 40.265823 | 185 | 0.365923 | 6,072 | 0.954417 | 0 | 0 | 0 | 0 | 0 | 0 | 5,298 | 0.832757 |
60f8300c3b1d0bfc0e3ab0efad7d54c27160ef0c | 1,053 | py | Python | 2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py | essepuntato/comp-think | 3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6 | [
"BSD-2-Clause"
] | 19 | 2017-07-03T11:55:33.000Z | 2021-10-17T10:21:24.000Z | 2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py | essepuntato/comp-think | 3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6 | [
"BSD-2-Clause"
] | 1 | 2017-12-21T10:52:56.000Z | 2018-06-06T13:59:13.000Z | 2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py | essepuntato/comp-think | 3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6 | [
"BSD-2-Clause"
] | 4 | 2017-11-13T09:29:06.000Z | 2019-05-09T03:29:49.000Z | def contains_word(first_word, second_word, bibliographic_entry):
contains_first_word = first_word in bibliographic_entry
contains_second_word = second_word in bibliographic_entry
if contains_first_word and contains_second_word:
return 2
elif contains_first_word or contains_second_word:
... | 47.863636 | 110 | 0.674264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.345679 |
60f86292339dc07295795b770971581f3a845840 | 2,855 | py | Python | backend/user/scripter.py | ivaivalous/ivodb | e9b0969225fdb725d35a2ecfab21f87d1d9b2a00 | [
"MIT"
] | null | null | null | backend/user/scripter.py | ivaivalous/ivodb | e9b0969225fdb725d35a2ecfab21f87d1d9b2a00 | [
"MIT"
] | null | null | null | backend/user/scripter.py | ivaivalous/ivodb | e9b0969225fdb725d35a2ecfab21f87d1d9b2a00 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import responses
from selenium import webdriver
# This file contains/references the default JS
# used to provide functions dealing with input/output
SCRIPT_RUNNER = "runner.html"
ENCODING = 'utf-8'
PAGE_LOAD_TIMEOUT = 5
PAGE_LOAD_TIMEOUT_MS = PAGE_LOAD_TIMEOUT * 1000
capabilities = webdriver.D... | 31.032609 | 79 | 0.652539 | 1,879 | 0.658144 | 0 | 0 | 1,011 | 0.354116 | 0 | 0 | 827 | 0.289667 |
60f89950c5e281ca1dca03166764cafad747aec6 | 1,490 | py | Python | bwtougu/api/names.py | luhouxiang/byrobot | e110e7865965a344d2b61cb925c959cee1387758 | [
"Apache-2.0"
] | null | null | null | bwtougu/api/names.py | luhouxiang/byrobot | e110e7865965a344d2b61cb925c959cee1387758 | [
"Apache-2.0"
] | null | null | null | bwtougu/api/names.py | luhouxiang/byrobot | e110e7865965a344d2b61cb925c959cee1387758 | [
"Apache-2.0"
] | 1 | 2018-09-28T08:59:38.000Z | 2018-09-28T08:59:38.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
VALID_HISTORY_FIELDS = [
'datetime', 'open', 'close', 'high', 'low', 'total_turnover', 'volume',
'acc_net_value', 'discount_rate', 'unit_net_value',
'limit_up', 'limit_down', 'open_interest', 'basis_spread', 'settlement', 'prev_settlement'
]
VALID_GET_PRICE_FI... | 25.689655 | 94 | 0.619463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 971 | 0.651678 |
60f8eaaad292345c3bccc32bf4de41d8a5ec6e07 | 9,830 | py | Python | src/PeerRead/data_cleaning/process_PeerRead_abstracts.py | dveni/causal-text-embeddings | 82104f3fb6fd540cf98cb4ca0fd5b5d1fb5f757a | [
"MIT"
] | 114 | 2019-05-31T03:54:05.000Z | 2022-03-28T06:37:27.000Z | src/PeerRead/data_cleaning/process_PeerRead_abstracts.py | dveni/causal-text-embeddings | 82104f3fb6fd540cf98cb4ca0fd5b5d1fb5f757a | [
"MIT"
] | 7 | 2019-08-12T01:35:22.000Z | 2020-09-23T17:32:46.000Z | src/PeerRead/data_cleaning/process_PeerRead_abstracts.py | dveni/causal-text-embeddings | 82104f3fb6fd540cf98cb4ca0fd5b5d1fb5f757a | [
"MIT"
] | 20 | 2019-06-03T05:33:10.000Z | 2022-02-04T19:34:41.000Z | """
Simple pre-processing for PeerRead papers.
Takes in JSON formatted data from ScienceParse and outputs a tfrecord
Reference example:
https://github.com/tensorlayer/tensorlayer/blob/9528da50dfcaf9f0f81fba9453e488a1e6c8ee8f/examples/data_process/tutorial_tfrecord3.py
"""
import argparse
import glob
import os
import... | 33.896552 | 132 | 0.662665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,975 | 0.302522 |
60f9b711d1be6899f182566e81c346882c7e82b3 | 19 | py | Python | app/packageB/__init__.py | An7ar35/python-app-skeleton-structure | 9060411bd32840c6510ad8fe18dcdc097c07b511 | [
"MIT"
] | null | null | null | app/packageB/__init__.py | An7ar35/python-app-skeleton-structure | 9060411bd32840c6510ad8fe18dcdc097c07b511 | [
"MIT"
] | null | null | null | app/packageB/__init__.py | An7ar35/python-app-skeleton-structure | 9060411bd32840c6510ad8fe18dcdc097c07b511 | [
"MIT"
] | null | null | null | __all__=['module1'] | 19 | 19 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.473684 |
60fad164495b1d30558324f3422b6ab9ad4d496c | 5,268 | py | Python | lib/shop.py | ZakDoesGaming/OregonTrail | 90cab35536ac5c6ba9e772ac5c29c914017c9c23 | [
"MIT"
] | 6 | 2018-05-07T04:04:58.000Z | 2021-05-15T17:44:16.000Z | lib/shop.py | ZakDoesGaming/OregonTrail | 90cab35536ac5c6ba9e772ac5c29c914017c9c23 | [
"MIT"
] | null | null | null | lib/shop.py | ZakDoesGaming/OregonTrail | 90cab35536ac5c6ba9e772ac5c29c914017c9c23 | [
"MIT"
] | 2 | 2017-05-27T17:06:23.000Z | 2020-08-26T17:57:10.000Z | from pygame import Surface, font
from copy import copy
from random import randint, choice
import string
from lib.transactionButton import TransactionButton
SHOP_PREFIX = ["archer", "baker", "fisher", "miller", "rancher", "robber"]
SHOP_SUFFIX = ["cave", "creek", "desert", "farm", "field", "forest", "hill", "lake", "m... | 41.480315 | 137 | 0.650721 | 4,882 | 0.926727 | 0 | 0 | 0 | 0 | 0 | 0 | 276 | 0.052392 |
60fb27a39e6c08f8aae7d5554b69bcd58cf5b1d9 | 2,047 | py | Python | core/dataflow/test/test_runners.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/dataflow/test/test_runners.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | core/dataflow/test/test_runners.py | ajmal017/amp | 8de7e3b88be87605ec3bad03c139ac64eb460e5c | [
"BSD-3-Clause"
] | null | null | null | import logging
import numpy as np
import core.dataflow as dtf
import helpers.unit_test as hut
_LOG = logging.getLogger(__name__)
class TestRollingFitPredictDagRunner(hut.TestCase):
def test1(self) -> None:
"""
Test the DagRunner using `ArmaReturnsBuilder`
"""
dag_builder = dtf.... | 31.984375 | 76 | 0.616512 | 1,909 | 0.932584 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.211529 |
60fb78d100400013bb9e1879a2d59065d01b4f6b | 4,478 | py | Python | Main Project/Main_Program.py | hmnk-1967/OCR-Python-Project-CS-BUIC | 28c72d9913a25655f6183a7b960e527a0432c8e1 | [
"MIT"
] | null | null | null | Main Project/Main_Program.py | hmnk-1967/OCR-Python-Project-CS-BUIC | 28c72d9913a25655f6183a7b960e527a0432c8e1 | [
"MIT"
] | null | null | null | Main Project/Main_Program.py | hmnk-1967/OCR-Python-Project-CS-BUIC | 28c72d9913a25655f6183a7b960e527a0432c8e1 | [
"MIT"
] | null | null | null | import tkinter.messagebox
from tkinter import *
import tkinter as tk
from tkinter import filedialog
import numpy
import pytesseract #Python wrapper for Google-owned OCR engine known by the name of Tesseract.
import cv2
from PIL import Image, ImageTk
import os
root = tk.Tk()
root.title("Object Character Recognizer")
ro... | 44.336634 | 209 | 0.692497 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,399 | 0.312416 |
60fbe7657269c996fc3948f64ef4c1f61caa8318 | 881 | bzl | Python | third_party/nasm/workspace.bzl | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 54 | 2017-06-17T14:07:48.000Z | 2022-03-29T02:11:20.000Z | third_party/nasm/workspace.bzl | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 19 | 2021-12-28T12:44:55.000Z | 2022-01-13T08:11:28.000Z | third_party/nasm/workspace.bzl | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 11 | 2018-04-19T22:36:01.000Z | 2021-08-02T08:44:43.000Z | """loads the nasm library, used by TF."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
tf_http_archive(
name = "nasm",
urls = [
"https://storage.googleapis.com/mirror.tensorflow.org/www.nasm.us/pub/nasm/releasebuilds/2.13.03/nasm-2.13.03.tar.bz2",
"http://p... | 48.944444 | 237 | 0.694665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 646 | 0.733258 |
60fc4c563a78f035d637363b6ec3e80079aa3d28 | 10,095 | py | Python | python/tests/test-1-vector.py | wence-/libCEED | c785ad36304ed34c5edefb75cf1a0fe5445db17b | [
"BSD-2-Clause"
] | null | null | null | python/tests/test-1-vector.py | wence-/libCEED | c785ad36304ed34c5edefb75cf1a0fe5445db17b | [
"BSD-2-Clause"
] | null | null | null | python/tests/test-1-vector.py | wence-/libCEED | c785ad36304ed34c5edefb75cf1a0fe5445db17b | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2017, Lawrence Livermore National Security, LLC. Produced at
# the Lawrence Livermore National Laboratory. LLNL-CODE-734707. All Rights
# reserved. See files LICENSE and NOTICE for details.
#
# This file is part of CEED, a collection of benchmarks, miniapps, software
# libraries and APIs for efficient h... | 28.597734 | 81 | 0.470134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,162 | 0.412283 |
60fe83ebf52b160eaac4df2f49fea7ababebb7f8 | 1,659 | py | Python | esmvalcore/cmor/_fixes/cmip6/cesm2.py | aperezpredictia/ESMValCore | d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2 | [
"Apache-2.0"
] | 1 | 2019-11-28T13:09:42.000Z | 2019-11-28T13:09:42.000Z | esmvalcore/cmor/_fixes/cmip6/cesm2.py | aperezpredictia/ESMValCore | d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2 | [
"Apache-2.0"
] | null | null | null | esmvalcore/cmor/_fixes/cmip6/cesm2.py | aperezpredictia/ESMValCore | d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2 | [
"Apache-2.0"
] | 1 | 2019-11-29T00:50:30.000Z | 2019-11-29T00:50:30.000Z | """Fixes for CESM2 model."""
from ..fix import Fix
from ..shared import (add_scalar_depth_coord, add_scalar_height_coord,
add_scalar_typeland_coord, add_scalar_typesea_coord)
class Fgco2(Fix):
"""Fixes for fgco2."""
def fix_metadata(self, cubes):
"""Add depth (0m) coordinate.
... | 20.481481 | 74 | 0.540084 | 1,450 | 0.87402 | 0 | 0 | 0 | 0 | 0 | 0 | 794 | 0.478602 |
60fea0a23e4a5ea1e75b9b0eb479df0b1f05f8bb | 707 | py | Python | examples/GenerateSubset.py | vitay/YouTubeFacesDB | e7225e8d775ad64889fbee57a4452a25573a0360 | [
"MIT"
] | 11 | 2018-02-25T16:20:16.000Z | 2021-07-27T02:46:09.000Z | examples/GenerateSubset.py | vitay/YouTubeFacesDB | e7225e8d775ad64889fbee57a4452a25573a0360 | [
"MIT"
] | 1 | 2018-12-14T19:56:16.000Z | 2018-12-16T22:09:30.000Z | examples/GenerateSubset.py | vitay/YouTubeFacesDB | e7225e8d775ad64889fbee57a4452a25573a0360 | [
"MIT"
] | 3 | 2017-05-05T03:23:17.000Z | 2019-11-11T01:39:25.000Z | from YouTubeFacesDB import generate_ytf_database
###############################################################################
# Create the dataset
###############################################################################
generate_ytf_database(
directory= '../data',#'/scratch/vitay/Datasets/YouTubeFaces'... | 47.133333 | 95 | 0.550212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.680339 |
60ff05c6f96bea8d8b81dd6255359543dc3d93ad | 1,562 | py | Python | src/waldur_mastermind/billing/tests/test_price_current.py | opennode/nodeconductor-assembly-waldur | cad9966389dc9b52b13d2301940c99cf4b243900 | [
"MIT"
] | 2 | 2017-01-20T15:26:25.000Z | 2017-08-03T04:38:08.000Z | src/waldur_mastermind/billing/tests/test_price_current.py | opennode/nodeconductor-assembly-waldur | cad9966389dc9b52b13d2301940c99cf4b243900 | [
"MIT"
] | null | null | null | src/waldur_mastermind/billing/tests/test_price_current.py | opennode/nodeconductor-assembly-waldur | cad9966389dc9b52b13d2301940c99cf4b243900 | [
"MIT"
] | null | null | null | from freezegun import freeze_time
from rest_framework import test
from waldur_mastermind.billing.tests.utils import get_financial_report_url
from waldur_mastermind.invoices import models as invoice_models
from waldur_mastermind.invoices.tests import factories as invoice_factories
from waldur_mastermind.invoices.tests ... | 37.190476 | 80 | 0.68822 | 1,176 | 0.752881 | 0 | 0 | 1,203 | 0.770166 | 0 | 0 | 109 | 0.069782 |
60ff33dc263000945ad4491d74e8e10a35657808 | 16,741 | py | Python | tests/test_cli/test_utils/test_utils.py | ejfitzgerald/agents-aea | 6411fcba8af2cdf55a3005939ae8129df92e8c3e | [
"Apache-2.0"
] | null | null | null | tests/test_cli/test_utils/test_utils.py | ejfitzgerald/agents-aea | 6411fcba8af2cdf55a3005939ae8129df92e8c3e | [
"Apache-2.0"
] | null | null | null | tests/test_cli/test_utils/test_utils.py | ejfitzgerald/agents-aea | 6411fcba8af2cdf55a3005939ae8129df92e8c3e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... | 39.206089 | 88 | 0.696792 | 13,569 | 0.810525 | 0 | 0 | 12,452 | 0.743803 | 0 | 0 | 6,169 | 0.368497 |
60ff5c6f7092666241901b36f6825248e6f4d160 | 360 | py | Python | api/flat/urls.py | SanjarbekSaminjonov/musofirlar.backend | 23b09e90cc4e3d153063ad1768b5ae1c18ff866d | [
"Apache-2.0"
] | 1 | 2021-12-23T12:43:17.000Z | 2021-12-23T12:43:17.000Z | api/flat/urls.py | SanjarbekSaminjonov/musofirlar.backend | 23b09e90cc4e3d153063ad1768b5ae1c18ff866d | [
"Apache-2.0"
] | null | null | null | api/flat/urls.py | SanjarbekSaminjonov/musofirlar.backend | 23b09e90cc4e3d153063ad1768b5ae1c18ff866d | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.FlatListAPIView.as_view()),
path('create/', views.FlatCreateAPIView.as_view()),
path('<int:pk>/', views.FlatDetailAPIView.as_view()),
path('<int:pk>/update/', views.FlatUpdateAPIView.as_view()),
path('<int:pk>/delete/'... | 30 | 64 | 0.683333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0.161111 |
8801787fa421093191e86dccf0ba799d1e648912 | 506 | py | Python | hyssop_aiohttp/component/__init__.py | hsky77/hyssop | 4ab1e82f9e2592de56589c7426a037564bef49a6 | [
"MIT"
] | null | null | null | hyssop_aiohttp/component/__init__.py | hsky77/hyssop | 4ab1e82f9e2592de56589c7426a037564bef49a6 | [
"MIT"
] | null | null | null | hyssop_aiohttp/component/__init__.py | hsky77/hyssop | 4ab1e82f9e2592de56589c7426a037564bef49a6 | [
"MIT"
] | null | null | null | # Copyright (C) 2020-Present the hyssop authors and contributors.
#
# This module is part of hyssop and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
'''
File created: January 1st 2021
Modified By: hsky77
Last Updated: January 7th 2021 15:30:08 pm
'''
from hyssop.project.com... | 25.3 | 69 | 0.774704 | 110 | 0.217391 | 0 | 0 | 0 | 0 | 0 | 0 | 333 | 0.658103 |
88019b110382885f8543e3444fa6b00a5c38b567 | 3,691 | py | Python | run_clone.py | tGhattas/IMP-seamless-cloning | 2c81e0bd9bc99955afe06ec4eea187a5a42761e3 | [
"MIT"
] | null | null | null | run_clone.py | tGhattas/IMP-seamless-cloning | 2c81e0bd9bc99955afe06ec4eea187a5a42761e3 | [
"MIT"
] | null | null | null | run_clone.py | tGhattas/IMP-seamless-cloning | 2c81e0bd9bc99955afe06ec4eea187a5a42761e3 | [
"MIT"
] | null | null | null | import cv2
import getopt
import sys
from gui import MaskPainter, MaskMover
from clone import seamless_cloning, shepards_seamless_cloning
from utils import read_image, plt
from os import path
def usage():
print(
"Usage: python run_clone.py [options] \n\n\
Options: \n\
\t-h\t Flag to specify... | 33.554545 | 147 | 0.629098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,731 | 0.468979 |
8801ff2af63497d7ca9dadd57139f98ae23b3370 | 5,081 | py | Python | punkweb_boards/rest/serializers.py | Punkweb/punkweb-boards | 8934d15fbff2a3ce9191fdb19d58d029eb55ef16 | [
"BSD-3-Clause"
] | 20 | 2018-02-22T11:36:04.000Z | 2022-03-22T11:48:22.000Z | punkweb_boards/rest/serializers.py | imgVOID/punkweb-boards | 8934d15fbff2a3ce9191fdb19d58d029eb55ef16 | [
"BSD-3-Clause"
] | 28 | 2018-02-22T07:11:46.000Z | 2022-02-23T08:05:29.000Z | punkweb_boards/rest/serializers.py | imgVOID/punkweb-boards | 8934d15fbff2a3ce9191fdb19d58d029eb55ef16 | [
"BSD-3-Clause"
] | 5 | 2018-02-25T11:05:19.000Z | 2021-05-27T02:25:31.000Z | from rest_framework import serializers
from punkweb_boards.conf.settings import SHOUTBOX_DISABLED_TAGS
from punkweb_boards.models import (
BoardProfile,
Category,
Subcategory,
Thread,
Post,
Conversation,
Message,
Report,
Shout,
)
class BoardProfileSerializer(serializers.ModelSerial... | 30.793939 | 81 | 0.657745 | 4,791 | 0.942925 | 0 | 0 | 0 | 0 | 0 | 0 | 834 | 0.164141 |
88031b336437f0a5497f94eace7653d85a0ddb61 | 1,326 | py | Python | runtime/components/Statistic/moving_minimum_time.py | ulise/hetida-designer | a6be8eb45abf950d5498e3ca756ea1d2e46b5c00 | [
"MIT"
] | 41 | 2020-11-18T10:12:29.000Z | 2022-03-28T21:46:41.000Z | runtime/components/Statistic/moving_minimum_time.py | ulise/hetida-designer | a6be8eb45abf950d5498e3ca756ea1d2e46b5c00 | [
"MIT"
] | 4 | 2020-12-08T15:28:15.000Z | 2022-02-01T11:40:17.000Z | runtime/components/Statistic/moving_minimum_time.py | ulise/hetida-designer | a6be8eb45abf950d5498e3ca756ea1d2e46b5c00 | [
"MIT"
] | 14 | 2020-11-18T11:39:17.000Z | 2022-03-21T15:05:11.000Z | from hetdesrun.component.registration import register
from hetdesrun.datatypes import DataType
import pandas as pd
import numpy as np
# ***** DO NOT EDIT LINES BELOW *****
# These lines may be overwritten if input/output changes.
@register(
inputs={"data": DataType.Any, "t": DataType.String},
outputs={"movmin... | 28.212766 | 68 | 0.555053 | 0 | 0 | 0 | 0 | 1,093 | 0.824284 | 0 | 0 | 789 | 0.595023 |
88044ce700e39ec36bb7ba44d3c9905b593ae3a4 | 4,460 | py | Python | painter.py | MikhailNakhatovich/rooms_painting | 51b92797c867d4bb1c8d42a58785c0f4dacd4075 | [
"MIT"
] | null | null | null | painter.py | MikhailNakhatovich/rooms_painting | 51b92797c867d4bb1c8d42a58785c0f4dacd4075 | [
"MIT"
] | null | null | null | painter.py | MikhailNakhatovich/rooms_painting | 51b92797c867d4bb1c8d42a58785c0f4dacd4075 | [
"MIT"
] | null | null | null | import cv2
import ezdxf
import numpy as np
def draw_hatch(img, entity, color, mask):
for poly_path in entity.paths.paths:
# print(poly_path.path_type_flags)
polygon = np.array([vertex[:-1] for vertex in poly_path.vertices]).astype(int)
if poly_path.path_type_flags & 1 == 1:
cv2... | 35.11811 | 99 | 0.578924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.047309 |
8804685e3bac745bbfacb5b5cab8b6e032a05238 | 3,064 | py | Python | misago/misago/users/serializers/auth.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | 2 | 2021-03-06T21:06:13.000Z | 2021-03-09T15:05:12.000Z | misago/misago/users/serializers/auth.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | null | null | null | misago/misago/users/serializers/auth.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import serializers
from ...acl.useracl import serialize_user_acl
from .user import UserSerializer
User = get_user_model()
__all__ = ["AuthenticatedUserSerializer", "AnonymousUserSerializer"]
class AuthFlags:
def ... | 31.587629 | 87 | 0.616841 | 2,553 | 0.833225 | 0 | 0 | 0 | 0 | 0 | 0 | 818 | 0.266971 |
8804c3b09c4502328bb0532182f3bbfcec72facf | 2,171 | py | Python | shop/models.py | mohammadanarul/Ecommerce-Django-YT | afecc8f41693925619b81986d979706c64175360 | [
"MIT"
] | null | null | null | shop/models.py | mohammadanarul/Ecommerce-Django-YT | afecc8f41693925619b81986d979706c64175360 | [
"MIT"
] | null | null | null | shop/models.py | mohammadanarul/Ecommerce-Django-YT | afecc8f41693925619b81986d979706c64175360 | [
"MIT"
] | null | null | null | from ctypes.wintypes import CHAR
from distutils.command.upload import upload
from random import choice
from telnetlib import STATUS
from unicodedata import category
from django.db import models
from ckeditor.fields import RichTextField
from taggit.managers import TaggableManager
# Create your models here.
from mptt.mo... | 38.767857 | 109 | 0.740212 | 1,805 | 0.831414 | 0 | 0 | 0 | 0 | 0 | 0 | 127 | 0.058498 |
8805528dd519906fc019a797eb45969b31e9b633 | 7,470 | py | Python | supriya/patterns/NoteEvent.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/patterns/NoteEvent.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/patterns/NoteEvent.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | import uuid
import supriya.commands
import supriya.realtime
from supriya.patterns.Event import Event
class NoteEvent(Event):
### CLASS VARIABLES ###
__slots__ = ()
### INITIALIZER ###
def __init__(
self,
add_action=None,
delta=None,
duration=None,
is_stop=T... | 35.571429 | 86 | 0.545382 | 7,365 | 0.985944 | 0 | 0 | 0 | 0 | 0 | 0 | 333 | 0.044578 |
88055aadf736a00daf291c08df0121953d6b59c8 | 443 | py | Python | emoji_utils.py | ApacheAA/LastSeen | 1fe675b3ee3072d56e9fe094d1d80e1f7d876215 | [
"MIT"
] | null | null | null | emoji_utils.py | ApacheAA/LastSeen | 1fe675b3ee3072d56e9fe094d1d80e1f7d876215 | [
"MIT"
] | null | null | null | emoji_utils.py | ApacheAA/LastSeen | 1fe675b3ee3072d56e9fe094d1d80e1f7d876215 | [
"MIT"
] | 1 | 2021-04-04T02:46:10.000Z | 2021-04-04T02:46:10.000Z | # unicode digit emojis
# digits from '0' to '9'
zero_digit_code = zd = 48
# excluded digits
excl_digits = [2, 4, 5, 7]
# unicode digit keycap
udkc = '\U0000fe0f\U000020e3'
hours_0_9 = [chr(i) + udkc for i in range(zd, zd + 10)
if i - zd not in excl_digits]
# number '10' emoji
hours_0_9.append('\U0001f51f')
# ... | 26.058824 | 54 | 0.654628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 196 | 0.442438 |
88059d921ab4392734ab0df3051f19d38efd4fa5 | 1,131 | py | Python | TFBertForMaskedLM/main.py | Sniper970119/ExampleForTransformers | 3348525957c38b2a45898d4f4652879933503b25 | [
"Apache-2.0"
] | 3 | 2021-01-24T04:55:46.000Z | 2021-05-12T15:11:35.000Z | TFBertForMaskedLM/main.py | Sniper970119/ExampleForTransformers | 3348525957c38b2a45898d4f4652879933503b25 | [
"Apache-2.0"
] | null | null | null | TFBertForMaskedLM/main.py | Sniper970119/ExampleForTransformers | 3348525957c38b2a45898d4f4652879933503b25 | [
"Apache-2.0"
] | 1 | 2021-01-24T04:55:53.000Z | 2021-01-24T04:55:53.000Z | # -*- coding:utf-8 -*-
"""
┏┛ ┻━━━━━┛ ┻┓
┃ ┃
┃ ━ ┃
┃ ┳┛ ┗┳ ┃
┃ ┃
┃ ┻ ┃
┃ ┃
┗━┓ ┏━━━┛
┃ ┃ 神兽保佑
┃ ┃ 代码无BUG！
┃ ┗━━━━━━━━━┓
┃CREATE BY SNIPER┣┓
┃ ┏┛
┗━┓ ┓ ┏━━━┳ ┓ ┏━┛
... | 21.75 | 78 | 0.546419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 768 | 0.540464 |
8805a00d3b1fcbc6ac9137bed25cfb76407c9dfe | 663 | py | Python | mirari/TCS/migrations/0042_auto_20190726_0145.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | null | null | null | mirari/TCS/migrations/0042_auto_20190726_0145.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | 18 | 2019-12-27T19:58:20.000Z | 2022-02-27T08:17:49.000Z | mirari/TCS/migrations/0042_auto_20190726_0145.py | gcastellan0s/mirariapp | 24a9db06d10f96c894d817ef7ccfeec2a25788b7 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.5 on 2019-07-26 06:45
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('TCS', '0041_auto_20190726_0030'),
]
operations = [
migrations.AlterModelOptions(
name='modelo',
options={'default_permission... | 36.833333 | 365 | 0.653092 | 578 | 0.871795 | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 0.565611 |
88063bdddf555a3761172dbc965029eec4f02090 | 6,071 | py | Python | kornia/geometry/calibration/undistort.py | belltailjp/kornia | cfa3b6823d55e276893847f1c3f06ddf108c606a | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-01-06T00:36:04.000Z | 2022-01-06T00:36:04.000Z | kornia/geometry/calibration/undistort.py | belltailjp/kornia | cfa3b6823d55e276893847f1c3f06ddf108c606a | [
"ECL-2.0",
"Apache-2.0"
] | 12 | 2021-09-26T14:07:49.000Z | 2022-03-20T14:08:08.000Z | kornia/geometry/calibration/undistort.py | belltailjp/kornia | cfa3b6823d55e276893847f1c3f06ddf108c606a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import torch
from kornia.geometry.linalg import transform_points
from kornia.geometry.transform import remap
from kornia.utils import create_meshgrid
from .distort import distort_points, tilt_projection
# Based on https://github.com/opencv/opencv/blob/master/modules/calib3d/src/undistort.dispatch.cpp#L384
def undis... | 39.679739 | 109 | 0.567452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,308 | 0.544886 |
8806b7d99f0084120c35f1e69100c53537ba82bc | 422 | py | Python | Tests/Aula_7a.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | 4 | 2021-04-23T18:07:58.000Z | 2021-05-12T11:38:14.000Z | Tests/Aula_7a.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | null | null | null | Tests/Aula_7a.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | null | null | null | n1 = int(input('Digite um valor: '))
n2 = int(input('Digite outro valor: '))
print('A soma é: {}!' .format(n1+n2))
print('A subtração entre {} e {} é {}!' .format(n1, n2, n1-n2))
print('A multiplicação desses valores é {}!' .format(n1 * n2))
print('A divisão entre {} e {} é {:.3}' .format(n1, n2, n1/n2))
print('A divis... | 46.888889 | 63 | 0.601896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.533333 |
880784410cfda04eacd518622e54861cdb7a1605 | 6,288 | py | Python | manubot/cite/tests/test_citekey_api.py | shuvro-zz/manubot | 9023b7fbfa0b235c14a4d702516bc0cd6d3101ed | [
"BSD-3-Clause"
] | 1 | 2019-11-11T05:17:28.000Z | 2019-11-11T05:17:28.000Z | manubot/cite/tests/test_citekey_api.py | shuvro-zz/manubot | 9023b7fbfa0b235c14a4d702516bc0cd6d3101ed | [
"BSD-3-Clause"
] | null | null | null | manubot/cite/tests/test_citekey_api.py | shuvro-zz/manubot | 9023b7fbfa0b235c14a4d702516bc0cd6d3101ed | [
"BSD-3-Clause"
] | null | null | null | """Tests API-level functions in manubot.cite. Both functions are found in citekey.py"""
import pytest
from manubot.cite import citekey_to_csl_item, standardize_citekey
@pytest.mark.parametrize(
"citekey,expected",
[
("doi:10.5061/DRYAD.q447c/1", "doi:10.5061/dryad.q447c/1"),
("doi:10.5061/dr... | 38.109091 | 98 | 0.667144 | 0 | 0 | 0 | 0 | 1,707 | 0.271469 | 0 | 0 | 3,326 | 0.528944 |
8808d379a8ce975e29508dea21a42397452fc552 | 2,489 | py | Python | vispy/io/datasets.py | hmaarrfk/vispy | 7f3f6f60c8462bb8a3a8fa03344a2e6990b86eb2 | [
"BSD-3-Clause"
] | 2,617 | 2015-01-02T07:52:18.000Z | 2022-03-29T19:31:15.000Z | vispy/io/datasets.py | hmaarrfk/vispy | 7f3f6f60c8462bb8a3a8fa03344a2e6990b86eb2 | [
"BSD-3-Clause"
] | 1,674 | 2015-01-01T00:36:08.000Z | 2022-03-31T19:35:56.000Z | vispy/io/datasets.py | hmaarrfk/vispy | 7f3f6f60c8462bb8a3a8fa03344a2e6990b86eb2 | [
"BSD-3-Clause"
] | 719 | 2015-01-10T14:25:00.000Z | 2022-03-02T13:24:56.000Z | # -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
from os import path as op
from ..util import load_data_file
# This is the package data dir, not the dir for config, etc.
DATA_DIR = op.join... | 26.2 | 73 | 0.60225 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,612 | 0.64765 |
8809a9e20076798a2ad0ec40dc57152d0a032e41 | 13,731 | py | Python | universal_portfolio/knapsack.py | jehung/universal_portfolio | de731a6166ff057c8d6f3f73f80f9aca151805fa | [
"CC-BY-3.0"
] | 14 | 2017-03-01T07:54:17.000Z | 2021-10-10T11:07:56.000Z | universal_portfolio/knapsack.py | jehung/universal_portfolio | de731a6166ff057c8d6f3f73f80f9aca151805fa | [
"CC-BY-3.0"
] | null | null | null | universal_portfolio/knapsack.py | jehung/universal_portfolio | de731a6166ff057c8d6f3f73f80f9aca151805fa | [
"CC-BY-3.0"
] | 3 | 2017-06-27T10:18:03.000Z | 2020-07-03T01:29:56.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
import numpy as np
np.random.seed(1335) # for reproducibility
np.set_printoptions(precision=5, suppress=True, linewidth=150)
import os
import pandas as pd
import backtest as twp
from matplotlib import pyplot as plt
from sklearn import metrics, preprocessin... | 36.134211 | 145 | 0.610516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,354 | 0.317093 |
880a98e6cfdd279e5621d17d6384a4912cab6353 | 7,165 | py | Python | experiments/experiment_01.py | bask0/q10hybrid | 9b18af9dd382c65dd667139f97e7da0241091a2c | [
"Apache-2.0"
] | 2 | 2021-05-05T13:37:58.000Z | 2021-05-05T15:11:07.000Z | experiments/experiment_01.py | bask0/q10hybrid | 9b18af9dd382c65dd667139f97e7da0241091a2c | [
"Apache-2.0"
] | null | null | null | experiments/experiment_01.py | bask0/q10hybrid | 9b18af9dd382c65dd667139f97e7da0241091a2c | [
"Apache-2.0"
] | 1 | 2021-11-23T18:13:08.000Z | 2021-11-23T18:13:08.000Z |
import pytorch_lightning as pl
import optuna
import xarray as xr
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
import os
import shutil
from argparse import ArgumentParser
from datetime import datetime
from project.fluxda... | 32.130045 | 112 | 0.579204 | 4,563 | 0.636846 | 0 | 0 | 475 | 0.066294 | 0 | 0 | 1,560 | 0.217725 |
880bad578d9944f1ec06e580824fc923f1978b8e | 2,886 | py | Python | main.py | warifp/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | 4 | 2019-06-03T04:00:51.000Z | 2021-11-09T21:34:38.000Z | main.py | nittaya1990/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | null | null | null | main.py | nittaya1990/InstagramPostAndDelete | d22577325eccf42e629cef076ab43f7788587bc4 | [
"MIT"
] | 4 | 2019-10-30T19:44:08.000Z | 2021-09-07T16:30:09.000Z | #! @@Author : WAHYU ARIF PURNOMO
#! @@Create : 18 Januari 2019
#! @@Modify : 19 Januari 2019
#! Gambar dari reddit.
#! Gunakan VPN karena DNS situs reddit sudah di blokir dari negara Indonesia.
import os
import json
import requests
import progressbar
from PIL import Image
from lxml import html
from time import sleep
f... | 28.574257 | 125 | 0.615731 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.19508 |
880bba102de2d9226a037a90ff3d98814009f0c2 | 2,549 | py | Python | pyspectator/collection.py | maximilionus/pyspectator-x | 1265f1f39e7ca0534f9e6ffcd7087f2ebced3397 | [
"BSD-3-Clause"
] | 39 | 2017-02-27T15:21:21.000Z | 2021-12-31T03:23:43.000Z | pyspectator/collection.py | maximilionus/pyspectator-x | 1265f1f39e7ca0534f9e6ffcd7087f2ebced3397 | [
"BSD-3-Clause"
] | 18 | 2017-07-09T00:16:28.000Z | 2021-12-03T21:01:38.000Z | pyspectator/collection.py | maximilionus/pyspectator-x | 1265f1f39e7ca0534f9e6ffcd7087f2ebced3397 | [
"BSD-3-Clause"
] | 25 | 2017-03-05T07:59:34.000Z | 2021-12-15T15:22:58.000Z | from collections import MutableMapping, Container
from datetime import datetime, timedelta
from pyvalid import accepts
class LimitedTimeTable(MutableMapping, Container):
def __init__(self, time_span):
self.__storage = dict()
self.__time_span = None
self.time_span = time_span
@propert... | 27.117021 | 60 | 0.617497 | 2,394 | 0.939192 | 668 | 0.262064 | 993 | 0.389565 | 0 | 0 | 87 | 0.034131 |
880be95fb023fa99a8e4f0737f4b060a1751c3cd | 576 | py | Python | keyboardrow.py | AndySamoil/Elite_Code | 7dc3b7b1b8688c932474f8a10fd2637fd2918bdd | [
"MIT"
] | null | null | null | keyboardrow.py | AndySamoil/Elite_Code | 7dc3b7b1b8688c932474f8a10fd2637fd2918bdd | [
"MIT"
] | null | null | null | keyboardrow.py | AndySamoil/Elite_Code | 7dc3b7b1b8688c932474f8a10fd2637fd2918bdd | [
"MIT"
] | null | null | null | def findWords(self, words: List[str]) -> List[str]:
''' sets and iterate through sets
'''
every = [set("qwertyuiop"), set("asdfghjkl"), set("zxcvbnm")]
ans = []
for word in words:
l = len(word)
for sett in every:
... | 27.428571 | 69 | 0.362847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.135417 |
880bf5d9dd1fda0ba4fc9eafcb000337f1273e4d | 1,673 | py | Python | DFS_Backtracking/31. Next Permutation.py | xli1110/LC | 3c18b8809c5a21a62903060eef659654e0595036 | [
"MIT"
] | 2 | 2021-04-02T11:57:46.000Z | 2021-04-02T11:57:47.000Z | DFS_Backtracking/31. Next Permutation.py | xli1110/LC | 3c18b8809c5a21a62903060eef659654e0595036 | [
"MIT"
] | null | null | null | DFS_Backtracking/31. Next Permutation.py | xli1110/LC | 3c18b8809c5a21a62903060eef659654e0595036 | [
"MIT"
] | null | null | null | class Solution:
def __init__(self):
self.res = []
self.path = []
def arr_to_num(self, arr):
s = ""
for x in arr:
s += str(x)
return int(s)
def find_position(self, nums):
for i in range(len(self.res)):
if self.res[i] == nums:
... | 26.140625 | 89 | 0.499701 | 1,528 | 0.913329 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.227137 |
880c149eaa01b78f766f6b8032706b3698b74fbc | 1,392 | py | Python | plugin/DataExport/extend.py | konradotto/TS | bf088bd8432b1e3f4b8c8c083650a30d9ef2ae2e | [
"Apache-2.0"
] | 125 | 2015-01-22T05:43:23.000Z | 2022-03-22T17:15:59.000Z | plugin/DataExport/extend.py | konradotto/TS | bf088bd8432b1e3f4b8c8c083650a30d9ef2ae2e | [
"Apache-2.0"
] | 59 | 2015-02-10T09:13:06.000Z | 2021-11-11T02:32:38.000Z | plugin/DataExport/extend.py | konradotto/TS | bf088bd8432b1e3f4b8c8c083650a30d9ef2ae2e | [
"Apache-2.0"
] | 98 | 2015-01-17T01:25:10.000Z | 2022-03-18T17:29:42.000Z | #!/usr/bin/python
# Copyright (C) 2015 Ion Torrent Systems, Inc. All Rights Reserved
import subprocess
import re
pluginName = 'DataExport'
pluginDir = ""
networkFS = ["nfs", "cifs"]
localFS = ["ext4", "ext3", "xfs", "ntfs", "exfat", "vboxsf"]
supportedFS = ",".join(localFS + networkFS)
def test(bucket):
return... | 27.84 | 131 | 0.569684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.176724 |
880c1d871834c4fa9a80907f77053c53af975688 | 5,205 | py | Python | boids/biods_object.py | PaulAustin/sb7-pgz | fca3e50132b9d1894fb348b2082e83ce7b937b19 | [
"MIT"
] | 1 | 2022-02-21T15:54:01.000Z | 2022-02-21T15:54:01.000Z | boids/biods_object.py | PaulAustin/sb7-pgz | fca3e50132b9d1894fb348b2082e83ce7b937b19 | [
"MIT"
] | null | null | null | boids/biods_object.py | PaulAustin/sb7-pgz | fca3e50132b9d1894fb348b2082e83ce7b937b19 | [
"MIT"
] | 2 | 2020-11-21T16:34:22.000Z | 2021-01-27T10:30:34.000Z | # Ported from JavaSript version to Python and Pygame Zero
# Designed to work well with mu-editor environment.
#
# The original Javascript version wasdonw by Ben Eater
# at https://github.com/beneater/boids (MIT License)
# No endorsement implied.
#
# Complex numbers are are used as vectors to integrate x and y positions... | 31.932515 | 88 | 0.602882 | 3,144 | 0.604035 | 0 | 0 | 0 | 0 | 0 | 0 | 1,331 | 0.255716 |
880d1df9e7fa8cda82be2e587cdbae5ea94afb44 | 4,960 | py | Python | upoutdf/types/recurring/yearly.py | UpOut/UpOutDF | 5d2f87884565d98b77e25c6a26af7dbea266be76 | [
"MIT"
] | null | null | null | upoutdf/types/recurring/yearly.py | UpOut/UpOutDF | 5d2f87884565d98b77e25c6a26af7dbea266be76 | [
"MIT"
] | null | null | null | upoutdf/types/recurring/yearly.py | UpOut/UpOutDF | 5d2f87884565d98b77e25c6a26af7dbea266be76 | [
"MIT"
] | null | null | null | # coding: utf-8
import pytz
from dateutil.relativedelta import relativedelta
from .base import BaseRecurring
from upoutdf.occurences import OccurenceBlock, OccurenceGroup
from upoutdf.constants import YEARLY_TYPE
class YearlyType(BaseRecurring):
year_day = None
required_attributes = [
'every',
... | 30.060606 | 87 | 0.594153 | 4,740 | 0.955645 | 0 | 0 | 0 | 0 | 0 | 0 | 547 | 0.110282 |
880d94d22915e741e24ad40b49de37d7ad8757e9 | 625 | py | Python | project/urls.py | dbinetti/captable | 29769b2b99a3185fda241b3087ccbe621f8c97a2 | [
"BSD-2-Clause"
] | 18 | 2016-05-12T18:49:09.000Z | 2021-10-05T13:29:09.000Z | project/urls.py | dbinetti/captable | 29769b2b99a3185fda241b3087ccbe621f8c97a2 | [
"BSD-2-Clause"
] | null | null | null | project/urls.py | dbinetti/captable | 29769b2b99a3185fda241b3087ccbe621f8c97a2 | [
"BSD-2-Clause"
] | 5 | 2015-08-28T02:50:30.000Z | 2019-11-14T04:03:05.000Z | from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.views.generic import TemplateView
urlpatterns = patterns(
'',
url(r'^$', TemplateView.as_view(template_name='home.html'), ... | 31.25 | 85 | 0.7248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.2128 |
880ea7ec7f81ab78d2446766017eac398be3d80f | 9,388 | py | Python | common/evaluators/bert_emotion_evaluator.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | 5 | 2020-07-12T08:27:47.000Z | 2021-10-16T11:40:48.000Z | common/evaluators/bert_emotion_evaluator.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | null | null | null | common/evaluators/bert_emotion_evaluator.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | 1 | 2021-04-12T09:54:37.000Z | 2021-04-12T09:54:37.000Z | import warnings
import numpy as np
import torch
import torch.nn.functional as F
from sklearn import metrics
from torch.utils.data import DataLoader, SequentialSampler, TensorDataset
from tqdm import tqdm
from datasets.bert_processors.abstract_processor import convert_examples_to_features_with_emotion, \
... | 51.582418 | 166 | 0.678526 | 8,802 | 0.93758 | 0 | 0 | 0 | 0 | 0 | 0 | 362 | 0.03856 |
881189eb3c68f5eb6d4b3bde9fa97065430d1651 | 781 | py | Python | model/mlp1.py | andrearosasco/DistilledReplay | 2a4efa88d22b9afc7016f07549114688f346dbe8 | [
"MIT"
] | 7 | 2021-06-27T16:09:13.000Z | 2022-03-17T20:02:55.000Z | model/mlp1.py | andrew-r96/DistilledReplay | 2a4efa88d22b9afc7016f07549114688f346dbe8 | [
"MIT"
] | null | null | null | model/mlp1.py | andrew-r96/DistilledReplay | 2a4efa88d22b9afc7016f07549114688f346dbe8 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
def __init__(self, config):
super(Model, self).__init__()
self.drop = nn.Dropout(config['dropout'])
self.fc1 = nn.Linear(784, 2000)
self.fc2 = nn.Linear(2000, 2000)
self.fc3 = nn.Linea... | 28.925926 | 50 | 0.516005 | 721 | 0.923175 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.104994 |
8811e504a270f2f7246e1ece4241279f011e0643 | 745 | py | Python | netbox/ipam/managers.py | aslafy-z/netbox | a5512dd4c46c005df8752fc330c1382ac22b31ea | [
"Apache-2.0"
] | 1 | 2022-01-25T09:02:56.000Z | 2022-01-25T09:02:56.000Z | netbox/ipam/managers.py | aslafy-z/netbox | a5512dd4c46c005df8752fc330c1382ac22b31ea | [
"Apache-2.0"
] | 4 | 2021-06-08T22:29:06.000Z | 2022-03-12T00:48:51.000Z | netbox/ipam/managers.py | aslafy-z/netbox | a5512dd4c46c005df8752fc330c1382ac22b31ea | [
"Apache-2.0"
] | null | null | null | from django.db import models
from ipam.lookups import Host, Inet
class IPAddressManager(models.Manager):
def get_queryset(self):
"""
By default, PostgreSQL will order INETs with shorter (larger) prefix lengths ahead of those with longer
(smaller) masks. This makes no sense when ordering ... | 41.388889 | 118 | 0.689933 | 676 | 0.907383 | 0 | 0 | 0 | 0 | 0 | 0 | 522 | 0.700671 |
881335d234ca66e078e1413e1e2269e82e80ed06 | 5,709 | py | Python | train.py | VArdulov/learning-kis | 2637f08d5e8027a22feff17064be45ea51f738e5 | [
"MIT"
] | null | null | null | train.py | VArdulov/learning-kis | 2637f08d5e8027a22feff17064be45ea51f738e5 | [
"MIT"
] | null | null | null | train.py | VArdulov/learning-kis | 2637f08d5e8027a22feff17064be45ea51f738e5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
""" Learning Koopman Invariant Subspace
(c) Naoya Takeishi, 2017.
takeishi@ailab.t.u-tokyo.ac.jp
"""
import numpy as np
np.random.seed(1234567890)
from argparse import ArgumentParser
from os import path
import time
from lkis import TimeSeriesBatchMaker, KoopmanInvariantSubspa... | 38.574324 | 145 | 0.669294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,781 | 0.311964 |
8813da3968ae4a879a3ffd1fca43f066e89df5ea | 671 | py | Python | Algorithms/Easy/1200. Minimum Absolute Difference/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/1200. Minimum Absolute Difference/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/1200. Minimum Absolute Difference/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def minimumAbsDifference(self, arr: List[int]) -> List[List[int]]:
arr.sort()
res = []
min_diff = arr[1] - arr[0]
res.append([arr[0], arr[1]])
for i in range(1, len(arr)-1):
diff = arr[i+1]-arr[i]
if diff < min... | 26.84 | 70 | 0.490313 | 508 | 0.757079 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.014903 |
8814231575bbe6e4934834a1434e867f02c0e57d | 2,125 | py | Python | resources/physequations.py | VijayStroup/Physics_Problem_Solver_Basic | fc6944475ed8bcfe91bbd207734c3f9aee31e0fe | [
"MIT"
] | null | null | null | resources/physequations.py | VijayStroup/Physics_Problem_Solver_Basic | fc6944475ed8bcfe91bbd207734c3f9aee31e0fe | [
"MIT"
] | null | null | null | resources/physequations.py | VijayStroup/Physics_Problem_Solver_Basic | fc6944475ed8bcfe91bbd207734c3f9aee31e0fe | [
"MIT"
] | null | null | null | import math
def close(expected, actual, maxerror):
'''checks to see if the actual number is within expected +- maxerror.'''
low = expected - maxerror
high = expected + maxerror
if actual >= low and actual <= high:
return True
else:
return False
def grav_potential_energy(mass, height, gravity=9.81):
'''calcu... | 32.19697 | 88 | 0.631059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 913 | 0.429647 |
71467296157c3ad9afffaf380b92ae10d722c419 | 10,659 | py | Python | mvpa2/tests/test_erdataset.py | andycon/PyMVPA | 67f7ee68012e3a1128168c583d6c83303b7a2c27 | [
"MIT"
] | null | null | null | mvpa2/tests/test_erdataset.py | andycon/PyMVPA | 67f7ee68012e3a1128168c583d6c83303b7a2c27 | [
"MIT"
] | null | null | null | mvpa2/tests/test_erdataset.py | andycon/PyMVPA | 67f7ee68012e3a1128168c583d6c83303b7a2c27 | [
"MIT"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | 48.45 | 96 | 0.626888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,519 | 0.236326 |
7148d1a57a15a29836e2ab0aae7b7bc5dc398f57 | 1,174 | py | Python | userbot/plugins/delfp.py | aksr-aashish/FIREXUSERBOT | dff0b7bf028cb27779626ce523402346cc990402 | [
"MIT"
] | null | null | null | userbot/plugins/delfp.py | aksr-aashish/FIREXUSERBOT | dff0b7bf028cb27779626ce523402346cc990402 | [
"MIT"
] | 1 | 2022-01-09T11:35:06.000Z | 2022-01-09T11:35:06.000Z | userbot/plugins/delfp.py | aksr-aashish/FIREXUSERBOT | dff0b7bf028cb27779626ce523402346cc990402 | [
"MIT"
] | null | null | null | from telethon.tl.functions.photos import DeletePhotosRequest, GetUserPhotosRequest
from telethon.tl.types import InputPhoto
from userbot.cmdhelp import CmdHelp
from userbot.utils import admin_cmd, edit_or_reply, sudo_cmd
CmdHelp("delfp").add_command("delpfp", None, "delete ur currnt profile picture").add()
@borg.on... | 34.529412 | 86 | 0.67632 | 0 | 0 | 0 | 0 | 861 | 0.73339 | 757 | 0.644804 | 222 | 0.189097 |
7149245bb6b3dda015cca0a397d867fb3542c00d | 1,308 | py | Python | amlb/benchmarks/file.py | pplonski/automlbenchmark | f49ddfa2583643173296ed8ab45a8c14c62a6987 | [
"MIT"
] | 282 | 2018-09-19T09:45:46.000Z | 2022-03-30T04:05:51.000Z | amlb/benchmarks/file.py | pplonski/automlbenchmark | f49ddfa2583643173296ed8ab45a8c14c62a6987 | [
"MIT"
] | 267 | 2018-11-02T11:43:11.000Z | 2022-03-31T08:58:16.000Z | amlb/benchmarks/file.py | pplonski/automlbenchmark | f49ddfa2583643173296ed8ab45a8c14c62a6987 | [
"MIT"
] | 104 | 2018-10-17T19:32:36.000Z | 2022-03-19T22:47:59.000Z | import logging
import os
from typing import List, Tuple, Optional
from amlb.utils import config_load, Namespace
log = logging.getLogger(__name__)
def _find_local_benchmark_definition(name: str, benchmark_definition_dirs: List[str]) -> str:
# 'name' should be either a full path to the benchmark,
# or a filen... | 39.636364 | 119 | 0.727829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 427 | 0.326453 |
714957e1bb0b1384b108ed8e7921b1c771c5effe | 4,815 | py | Python | pybuspro/devices/control.py | eyesoft/pybuspro | 9a178117be2db40ef1399cc60afdc18e251682bc | [
"MIT"
] | 2 | 2019-03-15T03:47:10.000Z | 2019-10-30T15:34:09.000Z | pybuspro/devices/control.py | eyesoft/pybuspro | 9a178117be2db40ef1399cc60afdc18e251682bc | [
"MIT"
] | null | null | null | pybuspro/devices/control.py | eyesoft/pybuspro | 9a178117be2db40ef1399cc60afdc18e251682bc | [
"MIT"
] | 4 | 2019-01-12T17:50:24.000Z | 2020-01-12T16:56:24.000Z | from ..core.telegram import Telegram
from ..helpers.enums import OperateCode
class _Control:
def __init__(self, buspro):
self._buspro = buspro
self.subnet_id = None
self.device_id = None
@staticmethod
def build_telegram_from_control(control):
if control is None:
... | 28.660714 | 106 | 0.655867 | 4,702 | 0.976532 | 0 | 0 | 2,420 | 0.502596 | 226 | 0.046937 | 163 | 0.033853 |
7149b8c5cf18fd7bdd1bfdc804b0918d755edaae | 5,961 | py | Python | appengine/chrome_infra_console_loadtest/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/chrome_infra_console_loadtest/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/chrome_infra_console_loadtest/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
import endpoints
import random
import webapp2
from apiclient import discovery
from google.appengine.ext import ndb
from oauth2client.client i... | 33.301676 | 78 | 0.690824 | 4,719 | 0.791646 | 0 | 0 | 2,071 | 0.347425 | 0 | 0 | 620 | 0.104009 |
7149cd13d14ac2cce8176e2e198709907cc8c456 | 9,523 | py | Python | src/mitre/securingai/restapi/task_plugin/controller.py | usnistgov/dioptra | 08a08e96c27787915bafc75a483431333e2c70ca | [
"CC-BY-4.0"
] | 14 | 2021-06-17T15:16:12.000Z | 2021-11-08T10:25:37.000Z | src/mitre/securingai/restapi/task_plugin/controller.py | usnistgov/dioptra | 08a08e96c27787915bafc75a483431333e2c70ca | [
"CC-BY-4.0"
] | 7 | 2021-09-20T20:20:26.000Z | 2022-03-30T13:17:43.000Z | src/mitre/securingai/restapi/task_plugin/controller.py | usnistgov/dioptra | 08a08e96c27787915bafc75a483431333e2c70ca | [
"CC-BY-4.0"
] | 4 | 2021-06-29T16:52:42.000Z | 2022-01-21T16:56:45.000Z | # This Software (Dioptra) is being made available as a public service by the
# National Institute of Standards and Technology (NIST), an Agency of the United
# States Department of Commerce. This software was developed in part by employees of
# NIST and in part by NIST contractors. Copyright in portions of this softwar... | 37.789683 | 88 | 0.676888 | 7,100 | 0.745563 | 0 | 0 | 7,576 | 0.795548 | 0 | 0 | 2,987 | 0.313662 |
714a5d7f1ebf03213e86c878b9d094ccb13ebf53 | 16,181 | py | Python | dulwich/tests/test_lru_cache.py | mjmaenpaa/dulwich | d13a0375f4cc3099ff1c6edacda97f317c28f67a | [
"Apache-2.0"
] | null | null | null | dulwich/tests/test_lru_cache.py | mjmaenpaa/dulwich | d13a0375f4cc3099ff1c6edacda97f317c28f67a | [
"Apache-2.0"
] | null | null | null | dulwich/tests/test_lru_cache.py | mjmaenpaa/dulwich | d13a0375f4cc3099ff1c6edacda97f317c28f67a | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2006, 2008 Canonical Ltd
#
# Dulwich is dual-licensed under the Apache License, Version 2.0 and the GNU
# General Public License as public by the Free Software Foundation; version 2.0
# or (at your option) any later version. You can redistribute it and/or
# modify it under the terms of either of these t... | 35.798673 | 79 | 0.603115 | 15,148 | 0.93616 | 0 | 0 | 0 | 0 | 0 | 0 | 3,772 | 0.233113 |
714b8d767c11fadd1e5da33bbf5b7d19a7d70405 | 382 | py | Python | py/2016/5B.py | pedrotari7/advent_of_code | 98d5bc8d903435624a019a5702f5421d7b4ef8c8 | [
"MIT"
] | null | null | null | py/2016/5B.py | pedrotari7/advent_of_code | 98d5bc8d903435624a019a5702f5421d7b4ef8c8 | [
"MIT"
] | null | null | null | py/2016/5B.py | pedrotari7/advent_of_code | 98d5bc8d903435624a019a5702f5421d7b4ef8c8 | [
"MIT"
] | null | null | null | import md5
(i,count) = (0,0)
password = ['']*8
while 1:
key = 'reyedfim' + str(i)
md = md5.new(key).hexdigest()
if md[:5] == '00000':
index = int(md[5],16)
if index < len(password) and password[index]=='':
password[index] = md[6]
count += 1
if count ... | 17.363636 | 58 | 0.465969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.060209 |
714cfc19c240490817e3657df9cb9287844afbb6 | 16,391 | py | Python | release/scripts/mgear/shifter_epic_components/EPIC_foot_01/__init__.py | lsica-scopely/mgear4 | 28ed5d66370a9516da05d93d447bfc15f4c0c9f4 | [
"MIT"
] | null | null | null | release/scripts/mgear/shifter_epic_components/EPIC_foot_01/__init__.py | lsica-scopely/mgear4 | 28ed5d66370a9516da05d93d447bfc15f4c0c9f4 | [
"MIT"
] | null | null | null | release/scripts/mgear/shifter_epic_components/EPIC_foot_01/__init__.py | lsica-scopely/mgear4 | 28ed5d66370a9516da05d93d447bfc15f4c0c9f4 | [
"MIT"
] | null | null | null | import pymel.core as pm
import ast
from pymel.core import datatypes
from mgear.shifter import component
from mgear.core import node, applyop, vector
from mgear.core import attribute, transform, primitive
class Component(component.Main):
"""Shifter component Class"""
# ======================================... | 33.865702 | 79 | 0.505887 | 16,182 | 0.987249 | 0 | 0 | 0 | 0 | 0 | 0 | 2,893 | 0.176499 |
714e6f1bdf4058bf187b53f8c773baa127319b6d | 546 | py | Python | streams/blog/migrations/0012_auto_20200928_1212.py | Engerrs/ckan.org | a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158 | [
"BSD-3-Clause"
] | 1 | 2022-03-18T03:20:00.000Z | 2022-03-18T03:20:00.000Z | streams/blog/migrations/0012_auto_20200928_1212.py | Engerrs/ckan.org | a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158 | [
"BSD-3-Clause"
] | 26 | 2021-07-07T08:42:42.000Z | 2022-03-29T14:34:59.000Z | streams/blog/migrations/0012_auto_20200928_1212.py | Engerrs/ckan.org | a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158 | [
"BSD-3-Clause"
] | 3 | 2021-07-07T22:11:03.000Z | 2021-09-15T18:19:10.000Z | # Generated by Django 3.1.1 on 2020-09-28 12:12
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0011_blogpostpage_featured'),
]
operations = [
migrations.RemoveField(
model_name='blogpostpage',
... | 22.75 | 82 | 0.600733 | 437 | 0.800366 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.227106 |
714e74c6035390e31e82cb8cc61f9783ca761b5f | 58,939 | py | Python | opac/webapp/main/views.py | rafaelpezzuto/opac | 9b54202350e262a27cb9cb756a892185b288df24 | [
"BSD-2-Clause"
] | null | null | null | opac/webapp/main/views.py | rafaelpezzuto/opac | 9b54202350e262a27cb9cb756a892185b288df24 | [
"BSD-2-Clause"
] | null | null | null | opac/webapp/main/views.py | rafaelpezzuto/opac | 9b54202350e262a27cb9cb756a892185b288df24 | [
"BSD-2-Clause"
] | null | null | null | # coding: utf-8
import logging
import requests
import mimetypes
from io import BytesIO
from urllib.parse import urlparse
from datetime import datetime, timedelta
from collections import OrderedDict
from flask_babelex import gettext as _
from flask import (
render_template,
abort,
current_app,
request,
... | 34.957888 | 128 | 0.625358 | 407 | 0.006883 | 0 | 0 | 50,774 | 0.858641 | 0 | 0 | 13,945 | 0.235824 |
714ebaf58f896dbaa65742bb16b60c72d8438768 | 252 | py | Python | create_read_write_1/Writing/to_csv.py | CodeXfull/Pandas | 08b0adc28eedba47f6eb8303ba6a36a37ababb92 | [
"MIT"
] | null | null | null | create_read_write_1/Writing/to_csv.py | CodeXfull/Pandas | 08b0adc28eedba47f6eb8303ba6a36a37ababb92 | [
"MIT"
] | null | null | null | create_read_write_1/Writing/to_csv.py | CodeXfull/Pandas | 08b0adc28eedba47f6eb8303ba6a36a37ababb92 | [
"MIT"
] | null | null | null | """
Converter um DataFrame para CSV
"""
import pandas as pd
dataset = pd.DataFrame({'Frutas': ["Abacaxi", "Mamão"],
"Nomes": ["Éverton", "Márcia"]},
index=["Linha 1", "Linha 2"])
dataset.to_csv("dataset.csv") | 25.2 | 55 | 0.543651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.47451 |
714ec7d33bab5008ec611874fc87d94cc9deca3c | 9,769 | py | Python | venv/Lib/site-packages/pygsheets/client.py | 13rilliant/Python-CMS | 56c4f3f1cbdd81020aa690ab92d0e26d042458c1 | [
"MIT"
] | 1 | 2019-04-22T14:22:38.000Z | 2019-04-22T14:22:38.000Z | venv/Lib/site-packages/pygsheets/client.py | 13rilliant/Python-Updates-Text-Files-from-Sheets | 56c4f3f1cbdd81020aa690ab92d0e26d042458c1 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pygsheets/client.py | 13rilliant/Python-Updates-Text-Files-from-Sheets | 56c4f3f1cbdd81020aa690ab92d0e26d042458c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-.
import re
import warnings
import os
import logging
from pygsheets.drive import DriveAPIWrapper
from pygsheets.sheet import SheetAPIWrapper
from pygsheets.spreadsheet import Spreadsheet
from pygsheets.exceptions import SpreadsheetNotFound, NoValidUrlKeyFound
from pygsheets.custom_types import ... | 46.519048 | 142 | 0.614085 | 8,988 | 0.920053 | 0 | 0 | 372 | 0.03808 | 0 | 0 | 6,154 | 0.629952 |
714ecc8f34f21f3f5078c51278dfea154ffd4835 | 1,511 | py | Python | model/group_contact.py | NatalyAristova/Training_python | e95a2b9e25238285d705a880fd94d73f173c3a31 | [
"Apache-2.0"
] | null | null | null | model/group_contact.py | NatalyAristova/Training_python | e95a2b9e25238285d705a880fd94d73f173c3a31 | [
"Apache-2.0"
] | null | null | null | model/group_contact.py | NatalyAristova/Training_python | e95a2b9e25238285d705a880fd94d73f173c3a31 | [
"Apache-2.0"
] | null | null | null | from sys import maxsize
class Group_contact:
def __init__(self,firstname=None, middlename=None, lastname=None, nickname=None, title=None, company=None,
address=None, home=None, mobile=None, work=None, fax=None, email=None, email2=None, email3=None, byear=None,
address2=None, pho... | 36.853659 | 148 | 0.650563 | 1,485 | 0.982793 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.012574 |
714f78bb4bb01676183ee7d2b3639573c3d0ac56 | 712 | py | Python | test/manual/documents/test_iter_documents.py | membranepotential/mendeley-python-sdk | 0336f0164f4d409309e813cbd0140011b5b2ff8f | [
"Apache-2.0"
] | 103 | 2015-01-12T00:40:51.000Z | 2022-03-29T07:02:06.000Z | test/manual/documents/test_iter_documents.py | membranepotential/mendeley-python-sdk | 0336f0164f4d409309e813cbd0140011b5b2ff8f | [
"Apache-2.0"
] | 26 | 2015-01-10T04:08:41.000Z | 2021-02-05T16:31:37.000Z | test/manual/documents/test_iter_documents.py | membranepotential/mendeley-python-sdk | 0336f0164f4d409309e813cbd0140011b5b2ff8f | [
"Apache-2.0"
] | 43 | 2015-03-04T18:11:06.000Z | 2022-03-13T02:33:34.000Z | from itertools import islice
from test import get_user_session, cassette
from test.resources.documents import delete_all_documents, create_document
def test_should_iterate_through_documents():
session = get_user_session()
delete_all_documents()
with cassette('fixtures/resources/documents/iter_documents/... | 32.363636 | 96 | 0.706461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.182584 |
714fe59976a41e4840adb621109e180ee047b25c | 5,567 | py | Python | demo.py | cbsudux/minimal-hand | 893c252e7e818a9a96b279023ea8a78a88fb0a4d | [
"MIT"
] | null | null | null | demo.py | cbsudux/minimal-hand | 893c252e7e818a9a96b279023ea8a78a88fb0a4d | [
"MIT"
] | null | null | null | demo.py | cbsudux/minimal-hand | 893c252e7e818a9a96b279023ea8a78a88fb0a4d | [
"MIT"
] | null | null | null | import argparse
import cv2
import keyboard
import numpy as np
import open3d as o3d
import os
import pygame
from transforms3d.axangles import axangle2mat
import config
from hand_mesh import HandMesh
from kinematics import mpii_to_mano
from utils import OneEuroFilter, imresize
from wrappers import ModelPipeline
from ut... | 33.136905 | 100 | 0.629064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,188 | 0.39303 |
715027948c136a1c6e6c296495419c7112dea3be | 1,929 | py | Python | test_project/settings.py | incuna/incuna-groups | 148c181faf66fe73792cb2c5bbf5500ba61aa22d | [
"BSD-2-Clause"
] | 1 | 2017-09-29T23:58:02.000Z | 2017-09-29T23:58:02.000Z | test_project/settings.py | incuna/incuna-groups | 148c181faf66fe73792cb2c5bbf5500ba61aa22d | [
"BSD-2-Clause"
] | 51 | 2015-03-30T08:58:15.000Z | 2022-01-13T00:40:17.000Z | test_project/settings.py | incuna/incuna-groups | 148c181faf66fe73792cb2c5bbf5500ba61aa22d | [
"BSD-2-Clause"
] | null | null | null | import os
import dj_database_url
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DEBUG = True
ALLOWED_HOSTS = []
ROOT_URLCONF = 'groups.tests.urls'
STATIC_URL = '/static/'
SECRET_KEY = 'krc34ji^-fd-=+r6e%p!0u0k9h$9!q*_#l=6)74h#o(jrxsx4p'
PASSWORD_HASHERS = ('django.contrib.auth.hashers.MD5Pa... | 28.367647 | 76 | 0.659927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,148 | 0.595127 |
7150fca7ddfd290e2618756c7d1c3d98b7e62c0b | 11,824 | py | Python | tests/test_akismet.py | cclauss/akismet | 7b65bc163d6947a3013d01bf9accf1bc6c0781ca | [
"BSD-3-Clause"
] | 9 | 2015-07-21T01:43:05.000Z | 2021-04-01T12:53:32.000Z | tests/test_akismet.py | cclauss/akismet | 7b65bc163d6947a3013d01bf9accf1bc6c0781ca | [
"BSD-3-Clause"
] | 3 | 2015-09-28T09:01:17.000Z | 2021-11-18T08:19:36.000Z | tests/test_akismet.py | cclauss/akismet | 7b65bc163d6947a3013d01bf9accf1bc6c0781ca | [
"BSD-3-Clause"
] | 7 | 2015-09-27T03:14:44.000Z | 2021-12-05T22:48:44.000Z | import datetime
import os
import sys
import unittest
from unittest import mock
import akismet
class AkismetTests(unittest.TestCase):
api_key = os.getenv("TEST_AKISMET_API_KEY")
blog_url = os.getenv("TEST_AKISMET_BLOG_URL")
api_key_env_var = "PYTHON_AKISMET_API_KEY"
blog_url_env_var = "PYTHON_AKISMET... | 31.87062 | 88 | 0.58931 | 11,717 | 0.990951 | 0 | 0 | 0 | 0 | 0 | 0 | 4,008 | 0.338972 |
7151993c0f8145d0e1fdf8168c7b895118af0892 | 2,581 | py | Python | experimenting/dataset/datamodule.py | gaurvigoyal/lifting_events_to_3d_hpe | 66d27eb7534f81a95d9f68e17cc534ef2a2c9b1c | [
"Apache-2.0"
] | 19 | 2021-04-16T11:43:34.000Z | 2022-01-07T10:21:42.000Z | experimenting/dataset/datamodule.py | gaurvigoyal/lifting_events_to_3d_hpe | 66d27eb7534f81a95d9f68e17cc534ef2a2c9b1c | [
"Apache-2.0"
] | 4 | 2021-04-16T14:07:38.000Z | 2022-02-12T16:35:22.000Z | experimenting/dataset/datamodule.py | gianscarpe/event-camera | 8bb60a281adb9e2c961b5e12c24c9bbbba1876d5 | [
"Apache-2.0"
] | 5 | 2021-04-23T16:30:37.000Z | 2022-02-12T01:42:14.000Z | import pytorch_lightning as pl
from torch.utils.data import DataLoader, Dataset
from .core import BaseCore
from .factory import BaseDataFactory
class DataModule(pl.LightningDataModule):
def __init__(
self,
dataset_factory: BaseDataFactory,
core: BaseCore,
aug_train_config,
... | 28.362637 | 84 | 0.631538 | 2,139 | 0.828749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7152cc15e7baaacfb5a36373bdeff28f520d9e9f | 2,906 | py | Python | sevn-interface/SEVN/resources/SEVN_walkthrough/running_folder/analysis_3_pandas.py | giulianoiorio/PeTar | f6a849552b3d8e47c5e08fe90fed05bf38bc407d | [
"MIT"
] | null | null | null | sevn-interface/SEVN/resources/SEVN_walkthrough/running_folder/analysis_3_pandas.py | giulianoiorio/PeTar | f6a849552b3d8e47c5e08fe90fed05bf38bc407d | [
"MIT"
] | null | null | null | sevn-interface/SEVN/resources/SEVN_walkthrough/running_folder/analysis_3_pandas.py | giulianoiorio/PeTar | f6a849552b3d8e47c5e08fe90fed05bf38bc407d | [
"MIT"
] | null | null | null | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#Load file
dt=pd.read_csv("sevn_output/output_0.csv")
#Give a look to the columns
print(dt.columns)
#Consider only the final states
dt=dt.drop_duplicates(["ID","name"], keep='last')
#Load evolved file
dte=pd.read_csv("sevn_output/evolved_0.dat",se... | 34.595238 | 144 | 0.719202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,005 | 0.345836 |
7152e1ff12041d507f6d8d481cc402ae12c07a3f | 91 | py | Python | apps/tg_bot/apps.py | VladimirLazor/Lohika | a36407feeb2e3ade4f8c689030f343d88ff47a92 | [
"Apache-2.0"
] | null | null | null | apps/tg_bot/apps.py | VladimirLazor/Lohika | a36407feeb2e3ade4f8c689030f343d88ff47a92 | [
"Apache-2.0"
] | 9 | 2021-03-19T15:59:10.000Z | 2022-03-12T00:57:56.000Z | apps/tg_bot/apps.py | VladimirLazor/Lohika | a36407feeb2e3ade4f8c689030f343d88ff47a92 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class TgBotConfig(AppConfig):
name = 'apps.tg_bot'
| 15.166667 | 33 | 0.747253 | 54 | 0.593407 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.142857 |
71530e1943a52265477429affe05d43b9f82d449 | 2,152 | py | Python | office365/sharepoint/portal/group_site_manager.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | office365/sharepoint/portal/group_site_manager.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | office365/sharepoint/portal/group_site_manager.py | rikeshtailor/Office365-REST-Python-Client | ca7bfa1b22212137bb4e984c0457632163e89a43 | [
"MIT"
] | null | null | null | from office365.runtime.client_object import ClientObject
from office365.runtime.client_result import ClientResult
from office365.runtime.http.http_method import HttpMethod
from office365.runtime.queries.service_operation_query import ServiceOperationQuery
from office365.runtime.resource_path import ResourcePath
from of... | 37.754386 | 109 | 0.701208 | 1,679 | 0.780204 | 0 | 0 | 0 | 0 | 0 | 0 | 497 | 0.230948 |
715433d014e2773f3519d53929b4573136138236 | 186 | py | Python | tests/errors/e_tuple_args_T692.py | smok-serwis/cython | e551a3a348888bd89d4aad809916709a634af1fb | [
"Apache-2.0"
] | 2 | 2020-01-29T08:20:22.000Z | 2020-01-29T08:20:25.000Z | tests/errors/e_tuple_args_T692.py | smok-serwis/cython | e551a3a348888bd89d4aad809916709a634af1fb | [
"Apache-2.0"
] | 1 | 2019-09-21T19:58:10.000Z | 2019-09-21T19:58:10.000Z | tests/errors/e_tuple_args_T692.py | smok-serwis/cython | e551a3a348888bd89d4aad809916709a634af1fb | [
"Apache-2.0"
] | 2 | 2017-06-18T04:09:18.000Z | 2018-11-30T20:03:58.000Z | # ticket: 692
# mode: error
def func((a, b)):
return a + b
_ERRORS = u"""
4:9: Missing argument name
5:11: undeclared name not builtin: a
5:15: undeclared name not builtin: b
"""
| 14.307692 | 36 | 0.645161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.725806 |
71548039cb810f86d8a1fe4c36b02cd515b16949 | 558 | py | Python | ble.py | Ladvien/esp32_upython_env | 8b0feab940efd3feff16220473e1b5b27d679a56 | [
"MIT"
] | null | null | null | ble.py | Ladvien/esp32_upython_env | 8b0feab940efd3feff16220473e1b5b27d679a56 | [
"MIT"
] | null | null | null | ble.py | Ladvien/esp32_upython_env | 8b0feab940efd3feff16220473e1b5b27d679a56 | [
"MIT"
] | null | null | null | import bluetooth
import time
bt = bluetooth.BLE() # singleton
bt.active(True) # activate BT stack
UART_UUID = bluetooth.UUID('6E400001-B5A3-F393-E0A9-E50E24DCCA9E')
UART_TX = (bluetooth.UUID('6E400003-B5A3-F393-E0A9-E50E24DCCA9E'), bluetooth.FLAG_READ | bluetooth.FLAG_NOTIFY,)
UAR... | 50.727273 | 112 | 0.716846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.258065 |
715562602b941a7d39f1c3b9c3f9ed3ae5bab180 | 952 | py | Python | examples/custom-generator/customer.py | luxbe/sledo | 26aa2b59b11ea115afc25bb407602578cb342170 | [
"MIT"
] | 4 | 2021-12-13T17:52:52.000Z | 2021-12-28T09:40:52.000Z | examples/custom-generator/customer.py | luxbe/sledo | 26aa2b59b11ea115afc25bb407602578cb342170 | [
"MIT"
] | null | null | null | examples/custom-generator/customer.py | luxbe/sledo | 26aa2b59b11ea115afc25bb407602578cb342170 | [
"MIT"
] | null | null | null | from random import randint
from sledo.generate.field_generators.base import FieldGenerator
values = ("Austria",
"Belgium",
"Bulgaria",
"Croatia",
"Cyprus",
"Czech Republic",
"Denmark",
"Estonia",
"Finland",
"France",
"G... | 21.636364 | 63 | 0.456933 | 117 | 0.122899 | 0 | 0 | 0 | 0 | 0 | 0 | 319 | 0.335084 |
71567463ea68f026c0c3520620d04799ac10631b | 731 | py | Python | status-uncertain/baseline_model.py | crawftv/CRAwTO | 8c6fdb93ed963cbddfe967b041e8beb578d1e94d | [
"BSD-3-Clause"
] | 1 | 2020-04-03T12:43:27.000Z | 2020-04-03T12:43:27.000Z | status-uncertain/baseline_model.py | crawftv/CRAwTO | 8c6fdb93ed963cbddfe967b041e8beb578d1e94d | [
"BSD-3-Clause"
] | 21 | 2020-02-14T04:29:03.000Z | 2020-07-14T02:19:37.000Z | status-uncertain/baseline_model.py | crawftv/CRAwTO | 8c6fdb93ed963cbddfe967b041e8beb578d1e94d | [
"BSD-3-Clause"
] | 1 | 2019-10-25T01:06:58.000Z | 2019-10-25T01:06:58.000Z | #!/usr/bin/env python3
from sklearn.metrics import r2_score
import numpy as np
class BaselineModel(object):
def get_params(self):
return None
def predict(self, X):
return np.ones_like(X.index.values) * self._y_pred
def score(self, X, y):
y_true = y
y_pred = np.ones_like(y... | 20.305556 | 58 | 0.621067 | 643 | 0.879617 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.030096 |
7157c50528da6262c46158a9ce6e62a7c31b48be | 3,229 | py | Python | aligner/grow_diag_final.py | ecalder6/MT-HW2 | 1356aeb374a6e4d0b0ae819684bf314039948c56 | [
"MIT"
] | null | null | null | aligner/grow_diag_final.py | ecalder6/MT-HW2 | 1356aeb374a6e4d0b0ae819684bf314039948c56 | [
"MIT"
] | null | null | null | aligner/grow_diag_final.py | ecalder6/MT-HW2 | 1356aeb374a6e4d0b0ae819684bf314039948c56 | [
"MIT"
] | null | null | null | import optparse
import sys
def make_set(data, s, e_vocab, f_vocab, aligned, reverse):
for pair in data.split():
cur = pair.split('-')
if reverse:
e_vocab.add(int(cur[1]))
f_vocab.add(int(cur[0]))
aligned.add(int(cur[0]))
s.add((int(cur[1]), int(cur[0]... | 44.232877 | 142 | 0.577888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.106535 |
715823dd8a36dcb9c1e16c0545d16a02d319badc | 2,567 | py | Python | tests/test_tbears_db.py | Transcranial-Solutions/t-bears | 4712b8bb425814c444ee75f3220a31df934982aa | [
"Apache-2.0"
] | 35 | 2018-08-24T03:39:35.000Z | 2021-08-21T23:35:57.000Z | tests/test_tbears_db.py | Transcranial-Solutions/t-bears | 4712b8bb425814c444ee75f3220a31df934982aa | [
"Apache-2.0"
] | 40 | 2018-08-24T05:35:54.000Z | 2021-12-15T08:23:38.000Z | tests/test_tbears_db.py | Transcranial-Solutions/t-bears | 4712b8bb425814c444ee75f3220a31df934982aa | [
"Apache-2.0"
] | 22 | 2018-08-28T15:11:46.000Z | 2021-12-01T23:34:45.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2018 ICON Foundation
#
# 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 ... | 33.776316 | 85 | 0.679782 | 1,748 | 0.680951 | 0 | 0 | 0 | 0 | 0 | 0 | 805 | 0.313596 |
715a02ff047054f60c24cd7d80d0ef426229bc1b | 1,658 | py | Python | src/exabgp/bgp/message/update/attribute/bgpls/link/mplsmask.py | pierky/exabgp | 34be537ae5906c0830b31da1152ae63108ccf911 | [
"BSD-3-Clause"
] | 1,560 | 2015-01-01T08:53:05.000Z | 2022-03-29T20:22:43.000Z | src/exabgp/bgp/message/update/attribute/bgpls/link/mplsmask.py | pierky/exabgp | 34be537ae5906c0830b31da1152ae63108ccf911 | [
"BSD-3-Clause"
] | 818 | 2015-01-01T17:38:40.000Z | 2022-03-30T07:29:24.000Z | src/exabgp/bgp/message/update/attribute/bgpls/link/mplsmask.py | pierky/exabgp | 34be537ae5906c0830b31da1152ae63108ccf911 | [
"BSD-3-Clause"
] | 439 | 2015-01-06T21:20:41.000Z | 2022-03-19T23:24:25.000Z | # encoding: utf-8
"""
mplsmask.py
Created by Evelio Vila on 2016-12-01.
Copyright (c) 2014-2017 Exa Networks. All rights reserved.
"""
from exabgp.bgp.message.notification import Notify
from exabgp.bgp.message.update.attribute.bgpls.linkstate import LinkState
from exabgp.bgp.message.update.attribute.bgpls.linkstate im... | 41.45 | 77 | 0.390229 | 178 | 0.107358 | 0 | 0 | 200 | 0.120627 | 0 | 0 | 1,312 | 0.791315 |
715d6a83862066d08f507e36bb0ef91281fb5c5f | 4,977 | py | Python | tests/test_cecum.py | hsorby/scaffoldmaker | 5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1 | [
"Apache-2.0"
] | null | null | null | tests/test_cecum.py | hsorby/scaffoldmaker | 5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1 | [
"Apache-2.0"
] | 38 | 2018-04-04T10:40:26.000Z | 2022-03-14T22:02:26.000Z | tests/test_cecum.py | hsorby/scaffoldmaker | 5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1 | [
"Apache-2.0"
] | 28 | 2018-03-11T19:31:35.000Z | 2022-02-03T23:14:21.000Z | import unittest
from opencmiss.utils.zinc.finiteelement import evaluateFieldNodesetRange
from opencmiss.utils.zinc.general import ChangeManager
from opencmiss.zinc.context import Context
from opencmiss.zinc.element import Element
from opencmiss.zinc.field import Field
from opencmiss.zinc.result import RESULT_OK
from s... | 53.516129 | 115 | 0.723327 | 4,415 | 0.887081 | 0 | 0 | 0 | 0 | 0 | 0 | 755 | 0.151698 |
715db019834eea3cecfac08bf5fe333bb00487eb | 3,658 | py | Python | samples/destroy_vm.py | jm66/pyvmomi-community-samples | 5ca4a50b767500e07b9bce9fba70240bfa963a4e | [
"Apache-2.0"
] | 4 | 2016-01-04T06:19:56.000Z | 2018-09-09T01:03:07.000Z | samples/destroy_vm.py | zhangjiahaol/pyvmomi-community-samples | 905ec34edfbd151531832e98b6a0748fa6ff5e0e | [
"Apache-2.0"
] | 12 | 2019-04-17T02:47:25.000Z | 2021-04-02T09:15:37.000Z | samples/destroy_vm.py | zhangjiahaol/pyvmomi-community-samples | 905ec34edfbd151531832e98b6a0748fa6ff5e0e | [
"Apache-2.0"
] | 15 | 2018-04-26T05:18:12.000Z | 2021-11-06T04:44:58.000Z | #!/usr/bin/env python
# Copyright 2015 Michael Rice <michael@michaelrice.org>
#
# 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
#
# ... | 31.264957 | 76 | 0.594587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,344 | 0.367414 |
715e64156e2717f5d7270f3da98702a6b8223554 | 253 | py | Python | helpers/Screen.py | 1000monkeys/MastermindRedux | 6b07a341ecbf2ea325949a49c84218cc3632cd33 | [
"Unlicense"
] | null | null | null | helpers/Screen.py | 1000monkeys/MastermindRedux | 6b07a341ecbf2ea325949a49c84218cc3632cd33 | [
"Unlicense"
] | null | null | null | helpers/Screen.py | 1000monkeys/MastermindRedux | 6b07a341ecbf2ea325949a49c84218cc3632cd33 | [
"Unlicense"
] | null | null | null | import sys
class Screen:
def __init__(self) -> None:
pass
def handle_events(self, events):
for event in events:
if event.type == self.pygame.QUIT:
sys.exit()
def draw(self, screen):
pass | 19.461538 | 46 | 0.545455 | 241 | 0.952569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71602e883fba7821b66ac710b8b6c9c76a964d73 | 5,193 | py | Python | VirtualStage/BackgroundMatting/fixed_threshold.py | chris-han/ailab | b77d90f9089fa8003095843aa5de718fe73965a7 | [
"MIT"
] | null | null | null | VirtualStage/BackgroundMatting/fixed_threshold.py | chris-han/ailab | b77d90f9089fa8003095843aa5de718fe73965a7 | [
"MIT"
] | null | null | null | VirtualStage/BackgroundMatting/fixed_threshold.py | chris-han/ailab | b77d90f9089fa8003095843aa5de718fe73965a7 | [
"MIT"
] | null | null | null | import os
def fixed_split(videos, thresholds, mask_suffix, overlap=0, background_path="/"):
# crop target background video frames
backgrounds = [os.path.join(background_path, f[:-4]) for f in os.listdir(background_path) if f.endswith(".mp4")]
print(f"Splitting {len(backgrounds)} target background videos... | 33.720779 | 116 | 0.48238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,184 | 0.420566 |
7160d131d6077709c38251321b7619b34bcdeab7 | 7,041 | py | Python | hn2016_falwa/utilities.py | veredsil/hn2016_falwa | 53035ac838860dd8a8d85619f16cc9785dee8655 | [
"MIT"
] | null | null | null | hn2016_falwa/utilities.py | veredsil/hn2016_falwa | 53035ac838860dd8a8d85619f16cc9785dee8655 | [
"MIT"
] | null | null | null | hn2016_falwa/utilities.py | veredsil/hn2016_falwa | 53035ac838860dd8a8d85619f16cc9785dee8655 | [
"MIT"
] | null | null | null | import numpy as np
from math import pi,exp
def static_stability(height,area,theta,s_et=None,n_et=None):
"""
The function "static_stability" computes the vertical gradient (z-derivative)
of hemispheric-averaged potential temperature, i.e. d\tilde{theta}/dz in the def-
inition of QGPV in eq.(3) of Huang ... | 40.234286 | 111 | 0.656441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,408 | 0.626047 |
7160dc5984a5a68781b1f9dc71bfe52a6ee535f4 | 12,570 | py | Python | src/command_modules/azure-cli-iot/azure/cli/command_modules/iot/_params.py | JennyLawrance/azure-cli | cb9ca4b694110806b31803a95f9f315b2fde6410 | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-iot/azure/cli/command_modules/iot/_params.py | JennyLawrance/azure-cli | cb9ca4b694110806b31803a95f9f315b2fde6410 | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-iot/azure/cli/command_modules/iot/_params.py | JennyLawrance/azure-cli | cb9ca4b694110806b31803a95f9f315b2fde6410 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 61.019417 | 120 | 0.631344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,937 | 0.472315 |
7160eb99604d70299eb40716235e949ffc576a16 | 3,280 | py | Python | metrics-calculator/tests/integration/test_s3.py | nhsconnect/prm-practice-migration-dashboard | 40c8760f409834d05bde4fb015aa5f8765acaa82 | [
"0BSD"
] | null | null | null | metrics-calculator/tests/integration/test_s3.py | nhsconnect/prm-practice-migration-dashboard | 40c8760f409834d05bde4fb015aa5f8765acaa82 | [
"0BSD"
] | null | null | null | metrics-calculator/tests/integration/test_s3.py | nhsconnect/prm-practice-migration-dashboard | 40c8760f409834d05bde4fb015aa5f8765acaa82 | [
"0BSD"
] | null | null | null | import boto3
import gzip
from moto import mock_s3
import pytest
import os
from chalicelib.s3 import read_object_s3, write_object_s3, objects_exist
from tests.builders.file import build_gzip_csv
@pytest.fixture(scope='function')
def aws_credentials():
"""Mocked AWS Credentials for moto."""
os.environ['AWS_ACC... | 28.521739 | 97 | 0.710366 | 0 | 0 | 104 | 0.031707 | 3,061 | 0.933232 | 0 | 0 | 1,031 | 0.314329 |
716145a9d2a82e68a98031ac79781824db56e9c8 | 13,528 | py | Python | image_analogy/losses/patch_matcher.py | kaldap/image-analogies | 0867aedfae7dfc0d27c42805a3d07f7b9eb7eaa2 | [
"MIT"
] | 3,722 | 2016-02-28T18:03:51.000Z | 2022-03-29T18:03:30.000Z | image_analogy/losses/patch_matcher.py | germanmad/image-analogies | 066626149ccb96b0a0488ca7ea4fc992aa62b727 | [
"MIT"
] | 58 | 2016-02-28T03:23:43.000Z | 2022-03-11T23:14:08.000Z | image_analogy/losses/patch_matcher.py | germanmad/image-analogies | 066626149ccb96b0a0488ca7ea4fc992aa62b727 | [
"MIT"
] | 351 | 2016-03-05T03:22:48.000Z | 2022-03-01T09:06:33.000Z | import numpy as np
import scipy.interpolate
import scipy.ndimage
from sklearn.feature_extraction.image import extract_patches_2d, reconstruct_from_patches_2d
def _calc_patch_grid_dims(shape, patch_size, patch_stride):
x_w, x_h, x_c = shape
num_rows = 1 + (x_h - patch_size) // patch_stride
num_cols = 1 + (... | 43.922078 | 171 | 0.671348 | 5,921 | 0.437685 | 0 | 0 | 0 | 0 | 0 | 0 | 2,470 | 0.182584 |
716192be9eb9b6903ed659ac040571121cd26498 | 344 | py | Python | muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 1 | 2021-01-18T13:01:04.000Z | 2021-01-18T13:01:04.000Z | muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 42 | 2020-08-29T08:55:53.000Z | 2021-04-14T16:41:29.000Z | muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py | desafinadude/muni-portal-backend | 9ffc447194b8f29619585cd919f67d62062457a3 | [
"MIT"
] | 2 | 2020-10-28T16:34:41.000Z | 2022-02-07T10:29:31.000Z | # Generated by Django 2.2.10 on 2021-02-24 09:42
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0029_auto_20210224_0936'),
]
operations = [
migrations.RemoveField(
model_name='servicerequest',
name='mobile_refer... | 19.111111 | 48 | 0.610465 | 258 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 113 | 0.328488 |
7161bb83a934c99f17f3988c15fe48d8592c6f29 | 1,247 | py | Python | rllib/agents/ppo/tests/test_appo.py | noahshpak/ray | edd783bc327760a4892ab89222ee551e42df15b9 | [
"Apache-2.0"
] | 2 | 2020-02-17T17:36:23.000Z | 2020-08-24T19:59:18.000Z | rllib/agents/ppo/tests/test_appo.py | noahshpak/ray | edd783bc327760a4892ab89222ee551e42df15b9 | [
"Apache-2.0"
] | 8 | 2020-11-13T19:02:47.000Z | 2022-03-12T00:44:51.000Z | rllib/agents/ppo/tests/test_appo.py | noahshpak/ray | edd783bc327760a4892ab89222ee551e42df15b9 | [
"Apache-2.0"
] | 1 | 2021-07-26T07:17:06.000Z | 2021-07-26T07:17:06.000Z | import unittest
import ray
import ray.rllib.agents.ppo as ppo
from ray.rllib.utils.test_utils import check_compute_single_action, \
framework_iterator
class TestAPPO(unittest.TestCase):
@classmethod
def setUpClass(cls):
ray.init()
@classmethod
def tearDownClass(cls):
ray.shutdown... | 29 | 76 | 0.630313 | 982 | 0.78749 | 0 | 0 | 119 | 0.095429 | 0 | 0 | 140 | 0.112269 |