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11b8ebea444284392a8521e9ca33bd22be00da3c | 1,330 | py | Python | preprocessing/hexevent/convert_hexevent_to_vanilla_format.py | arnegebert/splicing | 3e19ce83a9f6d98bc6c2d8b653660d22e453ca77 | [
"MIT"
] | 1 | 2021-05-13T15:30:39.000Z | 2021-05-13T15:30:39.000Z | preprocessing/hexevent/convert_hexevent_to_vanilla_format.py | arnegebert/splicing | 3e19ce83a9f6d98bc6c2d8b653660d22e453ca77 | [
"MIT"
] | null | null | null | preprocessing/hexevent/convert_hexevent_to_vanilla_format.py | arnegebert/splicing | 3e19ce83a9f6d98bc6c2d8b653660d22e453ca77 | [
"MIT"
] | null | null | null | import numpy as np
"""
Helper script to convert original DSC data to the 'standard' Vanilla format I use for the data
"""
src = '../../data/hexevent'
trgt = '../../data/hexevent'
cons = np.load(f'{src}/cons_original_format.npy')
high = np.load(f'{src}/high_original_format.npy')
low = np.load(f'{src}/low_original_for... | 34.102564 | 94 | 0.696992 | import numpy as np
"""
Helper script to convert original DSC data to the 'standard' Vanilla format I use for the data
"""
src = '../../data/hexevent'
trgt = '../../data/hexevent'
cons = np.load(f'{src}/cons_original_format.npy')
high = np.load(f'{src}/high_original_format.npy')
low = np.load(f'{src}/low_original_for... | 0 | 0 | 0 | 0 | 0 | 460 | 0 | 0 | 23 |
6b03ebd8e99efdfa7f138dff3baf0d399b2f6b26 | 11,346 | py | Python | src/util/HOMURA_service.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | 6 | 2020-12-31T06:13:56.000Z | 2022-03-27T16:26:12.000Z | src/util/HOMURA_service.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | null | null | null | src/util/HOMURA_service.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | null | null | null | # from .mysql_access.posts import DBPosts
| 42.815094 | 248 | 0.582937 | import os
import json
from types import CodeType
import networkx as nx
from util.constant import *
from .utils import get_api_name_from_entity_id
from .config import HOMURA_COMMUNITY_API_RECOMMEND_STORE_PATH, COMMUNITY_RECOMMEND_ENTRY_THREADS_STORE_PATH, API_THREAD_ID_MAP_STORE_PATH, API_THREAD_ID_RESORT_MAP_STORE_PA... | 444 | 0 | 0 | 10,587 | 0 | 0 | 0 | 345 | 223 |
a6519e7e14c336c07e62d1308e20a78ac95ae885 | 2,008 | py | Python | tests/unit/algorithms/lightning_anil_test_notravis.py | Brikwerk/learn2learn | 7997c13c26ec627d13ce77ba98427260df78ada8 | [
"MIT"
] | 1 | 2021-07-07T17:03:45.000Z | 2021-07-07T17:03:45.000Z | tests/unit/algorithms/lightning_anil_test_notravis.py | Brikwerk/learn2learn | 7997c13c26ec627d13ce77ba98427260df78ada8 | [
"MIT"
] | null | null | null | tests/unit/algorithms/lightning_anil_test_notravis.py | Brikwerk/learn2learn | 7997c13c26ec627d13ce77ba98427260df78ada8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
if __name__ == "__main__":
unittest.main()
| 27.135135 | 88 | 0.609562 | #!/usr/bin/env python3
import unittest
import torch
import learn2learn as l2l
import pytorch_lightning as pl
from learn2learn.utils.lightning import EpisodicBatcher
from learn2learn.algorithms import LightningANIL
class Lambda(torch.nn.Module):
def __init__(self, fn):
super(Lambda, self).__init__()
... | 0 | 0 | 0 | 1,695 | 0 | 0 | 0 | 65 | 157 |
3d9622120c0661e314859ca13e83e531c9843144 | 20,759 | py | Python | notebooks-text-format/africa_bayes_svi_hmc_pyro.py | arpitvaghela/probml-notebooks | 32ecb309dd474b989fd1c6ce4ad6dab7a25bbead | [
"MIT"
] | 166 | 2021-07-16T17:33:09.000Z | 2022-03-30T03:35:34.000Z | notebooks-text-format/africa_bayes_svi_hmc_pyro.py | arpitvaghela/probml-notebooks | 32ecb309dd474b989fd1c6ce4ad6dab7a25bbead | [
"MIT"
] | 29 | 2021-07-21T16:31:51.000Z | 2022-03-31T19:50:13.000Z | notebooks-text-format/africa_bayes_svi_hmc_pyro.py | arpitvaghela/probml-notebooks | 32ecb309dd474b989fd1c6ce4ad6dab7a25bbead | [
"MIT"
] | 48 | 2021-07-17T08:26:18.000Z | 2022-03-31T03:36:18.000Z | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.3
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 38.947467 | 320 | 0.704177 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.3
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 0 | 0 | 0 | 774 | 0 | 4,039 | 0 | 26 | 361 |
1b2f7105e2b5c8b54c69cd0c91b498e22ed57462 | 70 | py | Python | exercise3_2.py | sbrrr/Baby-scripts | 26072d7f0218df0bffdf64202a5fc9fc4a3d573d | [
"MIT"
] | null | null | null | exercise3_2.py | sbrrr/Baby-scripts | 26072d7f0218df0bffdf64202a5fc9fc4a3d573d | [
"MIT"
] | null | null | null | exercise3_2.py | sbrrr/Baby-scripts | 26072d7f0218df0bffdf64202a5fc9fc4a3d573d | [
"MIT"
] | null | null | null | print([i for i in [1, 2, 3 ,4 ,5 , 8, 13, 21, 34, 55, 89] if i <= 5])
| 35 | 69 | 0.457143 | print([i for i in [1, 2, 3 ,4 ,5 , 8, 13, 21, 34, 55, 89] if i <= 5])
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cdb63779df0c596ab10696e778afb86113c82735 | 1,615 | py | Python | core/linkextractors/lxmlhtml.py | fengqimin/framework | 83dcac979409adbe1361bfd31346c7415a17902e | [
"MIT"
] | null | null | null | core/linkextractors/lxmlhtml.py | fengqimin/framework | 83dcac979409adbe1361bfd31346c7415a17902e | [
"MIT"
] | null | null | null | core/linkextractors/lxmlhtml.py | fengqimin/framework | 83dcac979409adbe1361bfd31346c7415a17902e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 31.666667 | 85 | 0.634056 | # -*- coding: utf-8 -*-
from urllib.parse import urljoin
from lxml import etree
from framework.core.linkextractors import BaseLinkExtractor
from framework.utils.href import HREF
class LxmlLinkExtractor(BaseLinkExtractor):
"""base class for extractor,base_url可以为'',否则必须是绝对url
"""
def __init__(self, selec... | 198 | 0 | 0 | 1,345 | 0 | 0 | 0 | 66 | 113 |
395a213ad55cb2d8b4680551dcf4c714cfe36f2b | 1,722 | py | Python | adventofcode/2015/02.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 10 | 2015-01-31T09:04:45.000Z | 2022-01-08T04:09:48.000Z | adventofcode/2015/02.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 3 | 2016-05-16T07:37:01.000Z | 2016-05-18T14:14:16.000Z | adventofcode/2015/02.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 6 | 2015-02-06T06:00:00.000Z | 2020-02-13T16:13:48.000Z |
INPUT_FILE = '02.in'
EXPECTED_ANSWERS = (1588178, 3783758, )
if __name__ == '__main__':
main()
| 21.797468 | 80 | 0.602787 | from utils import ingest
INPUT_FILE = '02.in'
EXPECTED_ANSWERS = (1588178, 3783758, )
def main():
solution = Solution()
answers = (solution.solve1(), solution.solve2(), )
print(answers)
assert(answers == EXPECTED_ANSWERS)
class Solution:
def __init__(self):
self.data = ingest(INPUT_FIL... | 0 | 671 | 0 | 721 | 0 | 130 | 0 | 3 | 91 |
7881583392bb83307b9c9663742b43e2fadc9318 | 12,692 | py | Python | sibilant_full.py | MontrealCorpusTools/SPADE | e2b20506e09aeca8b37ab0eb5a382b6ab996a5c6 | [
"MIT"
] | 1 | 2020-06-11T17:29:53.000Z | 2020-06-11T17:29:53.000Z | sibilant_full.py | MontrealCorpusTools/SPADE | e2b20506e09aeca8b37ab0eb5a382b6ab996a5c6 | [
"MIT"
] | 33 | 2018-07-26T19:29:27.000Z | 2020-06-19T19:26:56.000Z | sibilant_full.py | MontrealCorpusTools/SPADE | e2b20506e09aeca8b37ab0eb5a382b6ab996a5c6 | [
"MIT"
] | 3 | 2018-02-23T20:50:55.000Z | 2019-01-31T21:57:43.000Z | #########################################
## SPADE sibilant full analysis script ##
#########################################
## Processes and extracts linguistic and acoustic information pertaining to sibilants
## for *all* sibilant segments in the corpus
## Used for extracting data collected as part of the SPeech Ac... | 56.914798 | 138 | 0.654349 | #########################################
## SPADE sibilant full analysis script ##
#########################################
## Processes and extracts linguistic and acoustic information pertaining to sibilants
## for *all* sibilant segments in the corpus
## Used for extracting data collected as part of the SPeech Ac... | 0 | 0 | 0 | 0 | 0 | 8,304 | 0 | 42 | 135 |
b14f31255c1c0de93f09b49119cd9b73f4d3e4cf | 3,667 | py | Python | modules/logging.py | Domterion/uwu-bot | 714916cc1189007e91ec40e39a3f46bc5e96282f | [
"MIT"
] | 11 | 2019-03-18T23:45:11.000Z | 2020-09-19T07:18:35.000Z | modules/logging.py | Domterion/uwu-bot | 714916cc1189007e91ec40e39a3f46bc5e96282f | [
"MIT"
] | null | null | null | modules/logging.py | Domterion/uwu-bot | 714916cc1189007e91ec40e39a3f46bc5e96282f | [
"MIT"
] | 5 | 2019-03-02T03:05:22.000Z | 2019-09-09T20:18:46.000Z | import discord
import discord.ext.commands
| 33.642202 | 81 | 0.578402 | import aiohttp
import discord
import discord.ext.commands
from discord.ext import commands
from discord import Webhook, AsyncWebhookAdapter
class logging(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.hidden = True
self.can_be_disabled = False
async def commandtask(self, ... | 0 | 620 | 2,523 | 312 | 0 | 24 | 0 | 31 | 112 |
563a52db71ea33a401fa9e0da6e5200aa7b2ca8a | 353 | py | Python | rmcalyse/testing_scripts/multi_histogram_example.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | 3 | 2021-02-17T18:09:16.000Z | 2021-03-12T12:36:19.000Z | rmcalyse/testing_scripts/multi_histogram_example.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | null | null | null | rmcalyse/testing_scripts/multi_histogram_example.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | 1 | 2021-03-12T12:37:24.000Z | 2021-03-12T12:37:24.000Z | import random
import numpy as np
import matplotlib.pyplot as plt
x = [random.gauss(3, 1) for _ in range(400)]
y = [random.gauss(4, 2) for _ in range(400)]
bins = np.linspace(-10, 10, 100)
plt.hist(x, bins, alpha=0.5, label='x')
plt.hist(y, bins, alpha=0.5, label='y')
plt.legend(loc='upper left')
plt.title('Title 1')... | 22.0625 | 44 | 0.671388 | import random
import numpy as np
import matplotlib.pyplot as plt
x = [random.gauss(3, 1) for _ in range(400)]
y = [random.gauss(4, 2) for _ in range(400)]
bins = np.linspace(-10, 10, 100)
plt.hist(x, bins, alpha=0.5, label='x')
plt.hist(y, bins, alpha=0.5, label='y')
plt.legend(loc='upper left')
plt.title('Title 1')... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a59cbc1deea71316a94de7768e0bb92b595551ea | 18,778 | py | Python | modules/git_webhooks/github.py | dngfx/MagicBot | 56abfce2aac28f36e24ebe00229625196b269907 | [
"WTFPL"
] | 1 | 2020-12-31T03:10:42.000Z | 2020-12-31T03:10:42.000Z | modules/git_webhooks/github.py | dngfx/MagicBot | 56abfce2aac28f36e24ebe00229625196b269907 | [
"WTFPL"
] | 3 | 2020-10-12T21:27:28.000Z | 2021-08-12T09:46:55.000Z | modules/git_webhooks/github.py | dngfx/MagicBot | 56abfce2aac28f36e24ebe00229625196b269907 | [
"WTFPL"
] | 1 | 2020-10-12T21:17:58.000Z | 2020-10-12T21:17:58.000Z |
COMMIT_URL = "https://github.com/%s/commit/%s"
COMMIT_RANGE_URL = "https://github.com/%s/compare/%s...%s"
CREATE_URL = "https://github.com/%s/tree/%s"
PR_COMMIT_RANGE_URL = "https://github.com/%s/pull/%s/files/%s..%s"
PR_COMMIT_URL = "https://github.com/%s/pull/%s/commits/%s"
DEFAULT_EVENT_CATEGORIES = ["ping", "co... | 36.111538 | 88 | 0.542656 | from src import utils
from src.Logging import Logger as log
from . import colors
import itertools
COMMIT_URL = "https://github.com/%s/commit/%s"
COMMIT_RANGE_URL = "https://github.com/%s/compare/%s...%s"
CREATE_URL = "https://github.com/%s/tree/%s"
PR_COMMIT_RANGE_URL = "https://github.com/%s/pull/%s/files/%s..%s"
P... | 0 | 0 | 0 | 16,020 | 0 | 0 | 0 | 10 | 111 |
8a3b2b33324d7add8ba5e993b8499f0f2691d093 | 4,472 | py | Python | orangeshare/__main__.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 18 | 2021-07-31T18:10:25.000Z | 2022-03-14T01:38:54.000Z | orangeshare/__main__.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 14 | 2021-08-06T19:10:01.000Z | 2021-12-20T10:21:50.000Z | orangeshare/__main__.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 2 | 2021-11-13T15:53:20.000Z | 2022-01-23T12:25:32.000Z | import argparse
import os
import sys
from typing import Optional
from orangeshare import Orangeshare
def get_args() -> argparse.Namespace:
"""
Gets all commandline arguments and validates them.
:return: The arguments
"""
parser = argparse.ArgumentParser(description='A small python server that a... | 33.125926 | 183 | 0.64602 | import argparse
import logging
import os
import sys
import threading
from typing import Optional
from orangeshare import Orangeshare
def get_args() -> argparse.Namespace:
"""
Gets all commandline arguments and validates them.
:return: The arguments
"""
parser = argparse.ArgumentParser(descripti... | 0 | 0 | 0 | 0 | 0 | 1,234 | 0 | -12 | 175 |
7ec229f86cfbfc1426536673582141f3387fea17 | 38,918 | py | Python | src/m3_conversion.py | MillionConcepts/m3-conversion | 485c0cf6dcad12971c15fd728b194b465a82e713 | [
"BSD-3-Clause"
] | 1 | 2022-02-14T09:22:46.000Z | 2022-02-14T09:22:46.000Z | src/m3_conversion.py | MillionConcepts/m3-conversion | 485c0cf6dcad12971c15fd728b194b465a82e713 | [
"BSD-3-Clause"
] | null | null | null | src/m3_conversion.py | MillionConcepts/m3-conversion | 485c0cf6dcad12971c15fd728b194b465a82e713 | [
"BSD-3-Clause"
] | null | null | null | """
specialized utilities and PDSVersionConverter / PDS4Writer subclasses for
converting m3 products.
"""
from ast import literal_eval
import datetime as dt
import re
import numpy as np
import pandas as pd
from converter_utils import get_from_and_apply, eqloc
# utilities
# what m3 'base names' look lik... | 38.456522 | 81 | 0.564854 | """
specialized utilities and PDSVersionConverter / PDS4Writer subclasses for
converting m3 products.
"""
from ast import literal_eval
import datetime as dt
import os
import re
import shutil
import numpy as np
import pandas as pd
import rasterio
from toolz import merge
from converter import PDSVersionC... | 0 | 0 | 0 | 27,090 | 0 | 0 | 0 | 64 | 315 |
4afadc5608dcd7a84aaec56de5089976043b8848 | 370 | py | Python | json_api_doc/__init__.py | jzellman/json-api-doc | 9365fa5ceaa0a888f7a1253a7b2776c16c0600bf | [
"Apache-2.0"
] | null | null | null | json_api_doc/__init__.py | jzellman/json-api-doc | 9365fa5ceaa0a888f7a1253a7b2776c16c0600bf | [
"Apache-2.0"
] | null | null | null | json_api_doc/__init__.py | jzellman/json-api-doc | 9365fa5ceaa0a888f7a1253a7b2776c16c0600bf | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = """Julien Duponchelle"""
__email__ = 'julien@duponchelle.info'
__version__ = '0.9.0'
from .serialization import serialize
from .deserialization import deserialize, _flat, _resolve, _parse_included
# keeps backwards compatibility
parse = deserialize
__all__ = ['serialize', 'dese... | 24.666667 | 78 | 0.743243 | # -*- coding: utf-8 -*-
__author__ = """Julien Duponchelle"""
__email__ = 'julien@duponchelle.info'
__version__ = '0.9.0'
from .serialization import serialize
from .deserialization import deserialize, _flat, _resolve, _parse_included
# keeps backwards compatibility
parse = deserialize
__all__ = ['serialize', 'dese... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cdcd8bbf8c55834d0bd53099b333572b39499729 | 29,318 | py | Python | tests/integration/test_raceplans.py | langrenn-sprint/race-service | a5f3ca8d381e8e4d81bae25cccee0cb47b64400b | [
"Apache-2.0"
] | null | null | null | tests/integration/test_raceplans.py | langrenn-sprint/race-service | a5f3ca8d381e8e4d81bae25cccee0cb47b64400b | [
"Apache-2.0"
] | 62 | 2021-09-14T18:47:38.000Z | 2022-03-21T22:14:20.000Z | tests/integration/test_raceplans.py | langrenn-sprint/race-service | a5f3ca8d381e8e4d81bae25cccee0cb47b64400b | [
"Apache-2.0"
] | null | null | null | """Integration test cases for the raceplans route."""
# Bad cases
# Unauthorized cases:
# Forbidden:
# NOT FOUND CASES:
| 34.011601 | 92 | 0.607681 | """Integration test cases for the raceplans route."""
from copy import deepcopy
from datetime import datetime
from json import dumps
import os
from aiohttp import hdrs
from aiohttp.test_utils import TestClient as _TestClient
from aioresponses import aioresponses
import jwt
import pytest
from pytest_mock import MockFix... | 0 | 28,367 | 0 | 0 | 0 | 0 | 0 | 50 | 750 |
3363af6c14f0de651a3ba55f5218617973010bd5 | 7,315 | py | Python | test/pgic_test.py | JonJala/pgi_correct | 12d46d7e0c810772099eefce901e3ff150b12277 | [
"MIT"
] | 3 | 2021-04-19T09:05:52.000Z | 2021-07-18T15:31:39.000Z | test/pgic_test.py | JonJala/pgi_correct | 12d46d7e0c810772099eefce901e3ff150b12277 | [
"MIT"
] | null | null | null | test/pgic_test.py | JonJala/pgi_correct | 12d46d7e0c810772099eefce901e3ff150b12277 | [
"MIT"
] | null | null | null | """
Unit tests of components in pgic.py. This should be run via pytest
"""
import pgs_correct.pgic as pgic
###########################################
#########
#########
#########
#########
###########################################
#########
#########
##############################... | 35.168269 | 99 | 0.61285 | """
Unit tests of components in pgic.py. This should be run via pytest
"""
import numpy as np
import pgs_correct.pgic as pgic
import pytest
###########################################
class TestCalculateRho:
#########
@pytest.mark.parametrize("h2, r2, expected_rho",
[
(1.0, 1.0, 1.0),
... | 0 | 3,661 | 0 | 37 | 0 | 0 | 0 | -11 | 449 |
7689ca957b8217513c9d81c4bae48dd047fbdb17 | 7,799 | py | Python | first.py | MobtgZhang/2021MathorCupBigDataCompetition | 6cfd93157cfc1bfeebbb5223104a6617bfa5d754 | [
"MIT"
] | 1 | 2022-01-22T06:13:30.000Z | 2022-01-22T06:13:30.000Z | first.py | MobtgZhang/2021MathorCupBigDataCompetition | 6cfd93157cfc1bfeebbb5223104a6617bfa5d754 | [
"MIT"
] | null | null | null | first.py | MobtgZhang/2021MathorCupBigDataCompetition | 6cfd93157cfc1bfeebbb5223104a6617bfa5d754 | [
"MIT"
] | null | null | null | import logging
import torch.optim as optim
import torch.nn as nn
logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger()
if __name__ == "__main__":
main()
| 48.141975 | 174 | 0.719579 | import os
import uuid
import time
import logging
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from src.data import CarDataset
from src.data import batchfy,test_batchfy
from src.utils import to_device,write_to_txt
from src.evaluate import evaluate_dataset,draw_result,test_raw_datas... | 192 | 0 | 0 | 0 | 0 | 7,101 | 0 | 84 | 311 |
6ae069873210b10cbb278cb6717af1f16b39fc45 | 2,706 | py | Python | pyversasense/jsonHelpers.py | flamm3blemuff1n/pyversasense | 7da5064c2dacf7d648ad09dd327fdd4d9c81df59 | [
"Apache-2.0"
] | null | null | null | pyversasense/jsonHelpers.py | flamm3blemuff1n/pyversasense | 7da5064c2dacf7d648ad09dd327fdd4d9c81df59 | [
"Apache-2.0"
] | null | null | null | pyversasense/jsonHelpers.py | flamm3blemuff1n/pyversasense | 7da5064c2dacf7d648ad09dd327fdd4d9c81df59 | [
"Apache-2.0"
] | null | null | null | from .device import Device
from .peripheral import Peripheral
from .sample import Sample
from .measurement import Measurement
def jsonToDeviceDict(json):
"""Convert json to list of Device objects."""
deviceDict = {}
for jsonDevice in json:
mac = jsonDevice.get("mac")
address = jsonDevice.ge... | 38.112676 | 159 | 0.669623 | from .device import Device
from .peripheral import Peripheral
from .sample import Sample
from .measurement import Measurement
def jsonToDeviceDict(json):
"""Convert json to list of Device objects."""
deviceDict = {}
for jsonDevice in json:
mac = jsonDevice.get("mac")
address = jsonDevice.ge... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8f6c5e3dfd9e90a3d6ae3cf38da3f5e4316c18e3 | 857 | py | Python | Python Codes/InstaGram Profile Picture.py | AalsiCodeMan/Notebook-Ex | fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7 | [
"Unlicense"
] | 1 | 2020-06-28T12:35:55.000Z | 2020-06-28T12:35:55.000Z | Python Codes/InstaGram Profile Picture.py | AalsiCodeMan/Notebook-Ex | fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7 | [
"Unlicense"
] | 1 | 2021-10-02T05:33:51.000Z | 2021-10-02T05:34:02.000Z | Python Codes/InstaGram Profile Picture.py | AalsiCodeMan/Notebook-Ex | fd1cf8beddf26f6dd94f476f4c308b9057cc5ac7 | [
"Unlicense"
] | 3 | 2020-10-17T08:19:02.000Z | 2021-10-11T12:33:18.000Z |
if __name__ == "__main__":
user=input("Enter Insta Account: ")
picture_download(user)
| 37.26087 | 70 | 0.683781 | import os
import instaloader
def picture_download(username):
parser=instaloader.Instaloader()
#"Change Directory to Downloads"
os.chdir(os.path.join(os.path.expanduser('~'),'Downloads'))
#"Create custom folder"
if os.path.isdir("d:/Notebook Ex/Python Codes/Insta Download"):
os.chdir("d:/Not... | 0 | 0 | 0 | 0 | 0 | 698 | 0 | -15 | 67 |
8f492f61a54e4d6fcedd9cc2ddebe66010a06e47 | 528 | py | Python | run.py | SeanSuny/PT_Captcha | 0717bb093122490b0919b5e3f0c263ecccf91cbe | [
"MIT"
] | null | null | null | run.py | SeanSuny/PT_Captcha | 0717bb093122490b0919b5e3f0c263ecccf91cbe | [
"MIT"
] | null | null | null | run.py | SeanSuny/PT_Captcha | 0717bb093122490b0919b5e3f0c263ecccf91cbe | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
############################################################
# @Author : Sean
# @Date : 2022-02-22 19:05:52
# @LastEditors : Sean
# @LastEditTime : 2022-03-10 15:26:49
# @Description : Sean
# @FilePath : /run.py
# @Copyright : Copyright 2019-2022 Sea... | 29.333333 | 60 | 0.481061 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
############################################################
# @Author : Sean
# @Date : 2022-02-22 19:05:52
# @LastEditors : Sean
# @LastEditTime : 2022-03-10 15:26:49
# @Description : 这是由 Sean 创建
# @FilePath : /run.py
# @Copyright : Copyright ©2019-20... | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7ff8854a7a61d4e93e253d13f39b7389ac59287 | 2,505 | py | Python | bin/diff_images.py | open-climate-tech/firecam | d0041332f3d8ba38b7db3b6426010bff0099f569 | [
"Apache-2.0"
] | 9 | 2020-11-25T03:51:50.000Z | 2022-02-13T19:19:51.000Z | bin/diff_images.py | open-climate-tech/firecam | d0041332f3d8ba38b7db3b6426010bff0099f569 | [
"Apache-2.0"
] | 6 | 2020-03-27T01:35:10.000Z | 2022-03-26T16:20:31.000Z | bin/diff_images.py | open-climate-tech/firecam | d0041332f3d8ba38b7db3b6426010bff0099f569 | [
"Apache-2.0"
] | 3 | 2020-06-08T15:49:40.000Z | 2022-01-24T11:18:40.000Z | # Copyright 2020 Open Climate Tech Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 32.115385 | 113 | 0.653493 | # Copyright 2020 Open Climate Tech Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 0 | 0 | 0 | 0 | 0 | 1,427 | 0 | 26 | 246 |
30dacab910f561d85f7309caed581620c94eedac | 955 | py | Python | examples/ES/noise.py | jkren6/PARL | 7299032f8e1804bb4ada0f087fd485816046fa90 | [
"Apache-2.0"
] | 3,172 | 2018-05-22T02:02:29.000Z | 2022-03-31T09:14:56.000Z | examples/ES/noise.py | ic7y/PARL | e8797bd0d31d81bc81aae8b12792ff922bcb8ea9 | [
"Apache-2.0"
] | 422 | 2018-05-17T16:58:45.000Z | 2022-03-31T02:03:25.000Z | examples/ES/noise.py | ic7y/PARL | e8797bd0d31d81bc81aae8b12792ff922bcb8ea9 | [
"Apache-2.0"
] | 794 | 2018-05-21T18:33:19.000Z | 2022-03-30T13:38:09.000Z | # Third party code
#
# The following code are copied or modified from:
# https://github.com/ray-project/ray/blob/master/python/ray/rllib/utils/filter.py
| 29.84375 | 81 | 0.677487 | # Third party code
#
# The following code are copied or modified from:
# https://github.com/ray-project/ray/blob/master/python/ray/rllib/utils/filter.py
import numpy as np
class SharedNoiseTable(object):
"""Shared noise table used by learner and actor.
Learner and actor will create a same noise table by pas... | 0 | 0 | 0 | 758 | 0 | 0 | 0 | -3 | 46 |
af19717c4c549fdc94dbb23204fa848d4a3b159c | 180 | py | Python | src/426B.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | 2 | 2016-08-19T09:47:03.000Z | 2016-10-01T10:15:03.000Z | src/426B.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | null | null | null | src/426B.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | 1 | 2015-07-01T23:57:32.000Z | 2015-07-01T23:57:32.000Z | n, m = [int(i) for i in input().split()]
a = [input().split() for i in range(n)]
while n%2==0:
if a[:n//2] == a[n//2:n][::-1]:
n //= 2
else:
break
print(n)
| 20 | 40 | 0.444444 | n, m = [int(i) for i in input().split()]
a = [input().split() for i in range(n)]
while n%2==0:
if a[:n//2] == a[n//2:n][::-1]:
n //= 2
else:
break
print(n)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9f77b9d4d2d8a8250f96b841020ec2bdad8ae9ab | 3,153 | py | Python | plugins/rules.py | gorpoorko/Bot-Tcxs-Heroku | b272b1c491ec2bea14e65f1d4e0c96c23bc2d815 | [
"FTL"
] | 1 | 2020-12-11T10:15:46.000Z | 2020-12-11T10:15:46.000Z | plugins/rules.py | gorpoorko/Bot-Tcxs-Heroku | b272b1c491ec2bea14e65f1d4e0c96c23bc2d815 | [
"FTL"
] | null | null | null | plugins/rules.py | gorpoorko/Bot-Tcxs-Heroku | b272b1c491ec2bea14e65f1d4e0c96c23bc2d815 | [
"FTL"
] | 1 | 2021-06-22T19:27:38.000Z | 2021-06-22T19:27:38.000Z | # -*- coding: utf-8 -*-
#
#
#
#
#
#
# [+] @GorpoOrko 2020 - Telegram Bot and Personal Assistant [+]
# | TCXS Project Hacker Team - https://tcxsproject.com.br |
# | Telegram: @GorpoOrko Mail:gorpoorko@protonmail.com |
# [... | 48.507692 | 292 | 0.46654 | # -*- coding: utf-8 -*-
# ███╗ ███╗ █████╗ ███╗ ██╗██╗ ██████╗ ██████╗ ███╗ ███╗██╗ ██████╗
# ████╗ ████║██╔══██╗████╗ ██║██║██╔════╝██╔═══██╗████╗ ████║██║██╔═══██╗
# ██╔████╔██║███████║██╔██╗ ██║██║██║ ██║ ██║██╔████╔██║██║██║ ██║
# ██║╚██╔╝██║██╔══██║██║╚██╗██║██║██║ ██║ ██║██║╚██╔╝██║██║██║ █... | 1,089 | 0 | 1,953 | 0 | 0 | 280 | 0 | 36 | 136 |
871b827e4d135a96b452c6f159dbe3cda9cd9258 | 2,269 | py | Python | s011-largest-product-in-grid.py | urtuba/project_euler_solutions | 7a4b20f2d70082ab62efb49231519fd9e4a5dc27 | [
"MIT"
] | 3 | 2021-07-13T00:00:56.000Z | 2021-07-21T16:53:04.000Z | s011-largest-product-in-grid.py | urtuba/project_euler_solutions | 7a4b20f2d70082ab62efb49231519fd9e4a5dc27 | [
"MIT"
] | null | null | null | s011-largest-product-in-grid.py | urtuba/project_euler_solutions | 7a4b20f2d70082ab62efb49231519fd9e4a5dc27 | [
"MIT"
] | null | null | null | # Project Euler 11 - Largest product in a grid
# GitHub: urtuba
import numpy as np
def load_2d_array(filename: str) -> np.ndarray:
'''
Reads a txt file into 2d numpy integer array.
:param filename: name of the txt file.
:return: 2d numpy array
'''
with open(filename, 'r') as file:
arr... | 33.367647 | 80 | 0.624063 | # Project Euler 11 - Largest product in a grid
# GitHub: urtuba
import numpy as np
def load_2d_array(filename: str) -> np.ndarray:
'''
Reads a txt file into 2d numpy integer array.
:param filename: name of the txt file.
:return: 2d numpy array
'''
with open(filename, 'r') as file:
arr... | 0 | 0 | 0 | 0 | 0 | 1,082 | 0 | 0 | 80 |
a226e79bfdf50d116f66a3442a68581d62bf1fe9 | 2,289 | py | Python | lean/constants.py | bmello4688/lean-cli | 20024db4d56ebb9ad8a149d1120baa94f96bfe0a | [
"Apache-2.0"
] | null | null | null | lean/constants.py | bmello4688/lean-cli | 20024db4d56ebb9ad8a149d1120baa94f96bfe0a | [
"Apache-2.0"
] | null | null | null | lean/constants.py | bmello4688/lean-cli | 20024db4d56ebb9ad8a149d1120baa94f96bfe0a | [
"Apache-2.0"
] | null | null | null | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean CLI v1.0. Copyright 2021 QuantConnect Corporation.
#
# 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... | 41.618182 | 95 | 0.786806 | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean CLI v1.0. Copyright 2021 QuantConnect Corporation.
#
# 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... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4440c9ced88b5c5ff544a81303350b9cd3742b7 | 532 | py | Python | 0001_sum_in_array/find_sum__in_array.py | browniebroke/dailycodingproblem | 9f4c0d50ad70333fe14ebe97ba01cb2551a8ba90 | [
"MIT"
] | null | null | null | 0001_sum_in_array/find_sum__in_array.py | browniebroke/dailycodingproblem | 9f4c0d50ad70333fe14ebe97ba01cb2551a8ba90 | [
"MIT"
] | null | null | null | 0001_sum_in_array/find_sum__in_array.py | browniebroke/dailycodingproblem | 9f4c0d50ad70333fe14ebe97ba01cb2551a8ba90 | [
"MIT"
] | null | null | null | import random
from timeit import timeit
if __name__ == '__main__':
# Correctness
print(main([10, 2, 3, 4, 5, 11, 6, 7, 8, 9], 19)) # True
print(main([10, 2, 3, 4, 5, 11, 6, 7, 8, 9], 40)) # False
items = [random.choice(range(10_000)) for _ in range(10_000)]
res1 = timeit("main(items, 17)", number... | 26.6 | 66 | 0.586466 | import random
from timeit import timeit
def main(array, sum_to_find):
for i, a in enumerate(array):
b = sum_to_find - a
if b in array[i:]:
return True
return False
if __name__ == '__main__':
# Correctness
print(main([10, 2, 3, 4, 5, 11, 6, 7, 8, 9], 19)) # True
print(... | 0 | 0 | 0 | 0 | 0 | 138 | 0 | 0 | 23 |
d2c903101c0ee1999875e54bf8037eb1efaded77 | 2,808 | py | Python | tests/destroyed_symlinks_test.py | christhekeele/pre-commit-hooks | 2f7e22dc211ddec22670778553b91850a4ba8c1f | [
"MIT"
] | 3 | 2021-08-23T04:25:59.000Z | 2022-01-24T08:37:46.000Z | tests/destroyed_symlinks_test.py | christhekeele/pre-commit-hooks | 2f7e22dc211ddec22670778553b91850a4ba8c1f | [
"MIT"
] | null | null | null | tests/destroyed_symlinks_test.py | christhekeele/pre-commit-hooks | 2f7e22dc211ddec22670778553b91850a4ba8c1f | [
"MIT"
] | 4 | 2021-06-03T09:56:50.000Z | 2022-03-17T09:48:29.000Z |
TEST_SYMLINK = 'test_symlink'
TEST_SYMLINK_TARGET = '/doesnt/really/matters'
TEST_FILE = 'test_file'
TEST_FILE_RENAMED = f'{TEST_FILE}_renamed'
| 37.44 | 78 | 0.644587 | import os
import subprocess
import pytest
from pre_commit_hooks.destroyed_symlinks import find_destroyed_symlinks
from pre_commit_hooks.destroyed_symlinks import main
TEST_SYMLINK = 'test_symlink'
TEST_SYMLINK_TARGET = '/doesnt/really/matters'
TEST_FILE = 'test_file'
TEST_FILE_RENAMED = f'{TEST_FILE}_renamed'
@pyt... | 0 | 1,052 | 0 | 0 | 0 | 1,394 | 0 | 57 | 158 |
afde40ddd9d46f292fbab526fe9f8a3c2e2ecec5 | 2,362 | py | Python | experimental_scripts/analyze2.py | w4k2/AWAE | fa5c5d8dca1a6bc46d9819a42fa92d1120639b58 | [
"MIT"
] | null | null | null | experimental_scripts/analyze2.py | w4k2/AWAE | fa5c5d8dca1a6bc46d9819a42fa92d1120639b58 | [
"MIT"
] | null | null | null | experimental_scripts/analyze2.py | w4k2/AWAE | fa5c5d8dca1a6bc46d9819a42fa92d1120639b58 | [
"MIT"
] | null | null | null | import numpy as np
from tabulate import tabulate
from scipy.stats import ttest_ind
from tabulate import tabulate
### E1 get end
np.set_printoptions(precision=3)
alpha = 0.05
results = np.load("results2.npy")
optimized = np.load("optimized.npy")
optimized = np.moveaxis(optimized, 0, 1)
"""
# Dimensions are
# 0 - re... | 24.604167 | 86 | 0.583827 | import numpy as np
from itertools import combinations
from tabulate import tabulate
from scipy.stats import wilcoxon, ttest_rel, ttest_ind
import matplotlib.pyplot as plt
from tabulate import tabulate
from matplotlib import rcParams
### E1 get end
np.set_printoptions(precision=3)
alpha = 0.05
results = np.load("re... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 67 |
4a05970ef5a40fd9d697ce0de9a42cdde1e268e5 | 568 | gyp | Python | binding.gyp | orta/apple-unified-logging-node | c9a590b5c96651390ff32434b7e5b25d1af33fb3 | [
"MIT"
] | 4 | 2020-04-16T12:57:47.000Z | 2020-04-18T09:12:26.000Z | binding.gyp | orta/apple-unified-logging-node | c9a590b5c96651390ff32434b7e5b25d1af33fb3 | [
"MIT"
] | null | null | null | binding.gyp | orta/apple-unified-logging-node | c9a590b5c96651390ff32434b7e5b25d1af33fb3 | [
"MIT"
] | null | null | null | {
"make_global_settings": [
["CC", "/usr/bin/clang"],
["CXX", "/usr/bin/clang++"]
],
"targets": [
{
"target_name": "OSLogger",
"sources": ["OSLogger.mm", "functions.cc"],
"include_dirs": ["<!(node -e \"require('nan')\")"],
"xcode_settings": {
"CC": "clang",
"MA... | 22.72 | 68 | 0.463028 | {
"make_global_settings": [
["CC", "/usr/bin/clang"],
["CXX", "/usr/bin/clang++"]
],
"targets": [
{
"target_name": "OSLogger",
"sources": ["OSLogger.mm", "functions.cc"],
"include_dirs": ["<!(node -e \"require('nan')\")"],
"xcode_settings": {
"CC": "clang",
"MA... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
838af24b410963732c2e020aee8110a561953473 | 28,355 | py | Python | zentral/contrib/inventory/views.py | WW-Digital/zentral | 5a0907545612228315f335924e2c21860782c7b8 | [
"Apache-2.0"
] | null | null | null | zentral/contrib/inventory/views.py | WW-Digital/zentral | 5a0907545612228315f335924e2c21860782c7b8 | [
"Apache-2.0"
] | null | null | null | zentral/contrib/inventory/views.py | WW-Digital/zentral | 5a0907545612228315f335924e2c21860782c7b8 | [
"Apache-2.0"
] | null | null | null | import logging
logger = logging.getLogger("zentral.contrib.inventory.views")
TAG_COLOR_PRESETS = {
"green": "61bd4f",
"yellow": "f2d600",
"orange": "ffab4a",
"red": "eb5a46",
"purple": "c377e0",
"blue": "0079bf",
"sky": "00c2e0",
"lime": "51e898",
"pink": ... | 38.578231 | 119 | 0.637101 | from datetime import datetime, timedelta
import logging
from math import ceil
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exceptions import ObjectDoesNotExist
from django.urls import reverse, reverse_lazy
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import g... | 0 | 0 | 0 | 25,794 | 0 | 0 | 0 | 1,063 | 1,112 |
9ff0e4ddc4d849ee487ec4a87d68254a3520bfea | 4,655 | py | Python | typeidea_MTV/typeidea/blog/views.py | zj-myidea/MYIDEA | 901389a779329603d141f0641c8d2bae423f1d6b | [
"BSD-2-Clause"
] | null | null | null | typeidea_MTV/typeidea/blog/views.py | zj-myidea/MYIDEA | 901389a779329603d141f0641c8d2bae423f1d6b | [
"BSD-2-Clause"
] | null | null | null | typeidea_MTV/typeidea/blog/views.py | zj-myidea/MYIDEA | 901389a779329603d141f0641c8d2bae423f1d6b | [
"BSD-2-Clause"
] | null | null | null |
# Create your views here.
# function view
# def post_list(requset:HttpRequest, category_id=None, tag_id=None):
#
# tag = None
# category = None
# if tag_id:
# tag, post_list = Post.get_by_tag(tag_id)
#
# elif category_id:
# category, post_list = Post.get_by_category(category_id)
# ... | 28.913043 | 121 | 0.630934 | from datetime import date
from django.core.cache import cache
from django.db.models import Q,F
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.http import HttpResponse,HttpRequest
from django.views.generic import ListView, DetailView
from blog.models import Post, Categ... | 6 | 0 | 0 | 2,930 | 0 | 0 | 0 | 162 | 361 |
c74528859b1f29fe55276b27417d11f096badcfa | 633 | py | Python | tests/test_zodb_read_list.py | liuyxpp/ngpy | 24f4c07e336d255302618ea113ba2e02f60e01b4 | [
"BSD-3-Clause"
] | 1 | 2021-09-06T10:19:55.000Z | 2021-09-06T10:19:55.000Z | tests/test_zodb_read_list.py | liuyxpp/ngpy | 24f4c07e336d255302618ea113ba2e02f60e01b4 | [
"BSD-3-Clause"
] | null | null | null | tests/test_zodb_read_list.py | liuyxpp/ngpy | 24f4c07e336d255302618ea113ba2e02f60e01b4 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from ZODB.FileStorage import FileStorage
from ZODB.DB import DB
storage = FileStorage('Data.fs')
db = DB(storage)
connection = db.open()
root = connection.root()
print root.keys()
print root.items()
print
print 'account-list-1:'
for aa in root['account-list-1']:
print aa.__dict__
print
p... | 17.583333 | 40 | 0.671406 | #!/usr/bin/env python
class Account(object):
def __init__(self):
self.balance = 0.0
def deposit(self,amount):
self.balance += amount
def cash(self,amount):
assert amount < self.balance
self.balance -= amount
from ZODB.FileStorage import FileStorage
from ZODB.DB import DB... | 0 | 0 | 0 | 210 | 0 | 0 | 0 | 0 | 23 |
e904338f5ed343053a24025b038c5f63577310df | 392 | py | Python | views/main.py | AbhishekPednekar84/personal-portfolio | b7aa797e52399bc002efee21e78195edc110a446 | [
"MIT"
] | 2 | 2020-01-15T07:18:11.000Z | 2020-01-29T16:36:20.000Z | views/main.py | AbhishekPednekar84/personal-portfolio | b7aa797e52399bc002efee21e78195edc110a446 | [
"MIT"
] | 2 | 2019-11-19T08:50:11.000Z | 2019-12-29T07:15:59.000Z | views/main.py | AbhishekPednekar84/personal-portfolio | b7aa797e52399bc002efee21e78195edc110a446 | [
"MIT"
] | null | null | null | from flask import Blueprint
main_blueprint = Blueprint("main", __name__, template_folder="templates")
| 23.058824 | 80 | 0.686224 | from flask import Blueprint, render_template
main_blueprint = Blueprint("main", __name__, template_folder="templates")
@main_blueprint.route("/")
@main_blueprint.route("/main")
def main():
"""
View method to render the home.html page - https://www.abhishekpednekar.com/
Returns
-------
home.html:... | 0 | 248 | 0 | 0 | 0 | 0 | 0 | 17 | 23 |
7ab8bdf020a72a38095bb0dd20d869ce2e1bd3df | 5,965 | py | Python | reviews/config/commands.py | thewchan/reviews | f381a590ccdb37b04c1844684d4246f7570f7d2a | [
"MIT"
] | 134 | 2021-05-01T22:33:57.000Z | 2022-03-31T14:40:10.000Z | reviews/config/commands.py | thewchan/reviews | f381a590ccdb37b04c1844684d4246f7570f7d2a | [
"MIT"
] | 233 | 2021-04-26T21:31:17.000Z | 2022-03-31T08:15:12.000Z | reviews/config/commands.py | thewchan/reviews | f381a590ccdb37b04c1844684d4246f7570f7d2a | [
"MIT"
] | 11 | 2021-04-27T15:36:34.000Z | 2022-01-15T16:40:44.000Z | from datetime import datetime
from time import sleep
from typing import List, Tuple
from rich.console import Group
from rich.live import Live
from rich.panel import Panel
from ..controller import GithubPullRequestController, GitlabPullRequestController, PullRequestController
from ..layout import (RenderLayoutManager,... | 33.324022 | 104 | 0.649958 | from datetime import datetime
from time import sleep
from typing import List, Tuple
from rich.console import Group
from rich.live import Live
from rich.panel import Panel
from ..controller import GithubPullRequestController, GitlabPullRequestController, PullRequestController
from ..layout import (
RenderLayoutMan... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0 |
da84d08aae15798b975ebd2c177317bbea236ef2 | 4,034 | py | Python | cava/nightwatch/generator/c/makefile.py | arthurp/lapis2 | 1c0644cf1eeb2ddc5a735ca002d561e308ed6014 | [
"BSD-2-Clause"
] | null | null | null | cava/nightwatch/generator/c/makefile.py | arthurp/lapis2 | 1c0644cf1eeb2ddc5a735ca002d561e308ed6014 | [
"BSD-2-Clause"
] | null | null | null | cava/nightwatch/generator/c/makefile.py | arthurp/lapis2 | 1c0644cf1eeb2ddc5a735ca002d561e308ed6014 | [
"BSD-2-Clause"
] | null | null | null |
# TODO: Add CMake support.
"""
cmake_minimum_required(VERSION 3.12)
find_package(PkgConfig REQUIRED)
pkg_check_modules(GLIB REQUIRED glib-2.0)
include_directories(${GLIB_INCLUDE_DIRS})
link_directories(${GLIB_LIBRARY_DIRS} ../../cmake-build-debug/guestlib ../../cmake-build-debug/worker ../../cmake-build-debug/commo... | 33.338843 | 133 | 0.740456 | from nightwatch.model import API
def source(api: API, errors):
makefile = f"""
ifdef RELEASE
AVA_RELEASE=yes
else ifdef R
AVA_RELEASE=yes
endif
ifdef AVA_RELEASE
AVA_RELEASE_FLAG=-DAVA_RELEASE -DNDEBUG -O2 -flto -ggdb -rdynamic
else
AVA_RELEASE_FLAG=-O0 -g -ggdb -rdynamic
endif
CC=gcc
CXX=g++
LINKER={"g++" if a... | 0 | 0 | 0 | 0 | 0 | 2,949 | 0 | 11 | 45 |
d1b28e19855950e08d6babef1c7d5225cdd1adcb | 206 | py | Python | listener.py | ASafarzadeh/AIFaceLock | 5a5bd1a9faf146b323be24723305742682f054d0 | [
"MIT"
] | null | null | null | listener.py | ASafarzadeh/AIFaceLock | 5a5bd1a9faf146b323be24723305742682f054d0 | [
"MIT"
] | null | null | null | listener.py | ASafarzadeh/AIFaceLock | 5a5bd1a9faf146b323be24723305742682f054d0 | [
"MIT"
] | null | null | null | import keyboard
import time
while True:
if keyboard.is_pressed('Windows')and keyboard.is_pressed('`'):
delay()
time.sleep(5)
| 20.6 | 67 | 0.631068 | import keyboard
import time
import os
def delay():
os.startfile("lock.pyw")
while True:
if keyboard.is_pressed('Windows')and keyboard.is_pressed('`'):
delay()
time.sleep(5)
| 0 | 0 | 0 | 0 | 0 | 21 | 0 | -12 | 46 |
cb3d6679d6986d591180aef56c98b9e155d3adb3 | 2,014 | py | Python | core/data/samplers.py | RuiBai1999/myrepo | 1cf51db063b922ef58ff11da998c3f12f643420d | [
"MIT"
] | 471 | 2021-09-13T11:28:34.000Z | 2022-03-30T07:26:54.000Z | core/data/samplers.py | liuwenqi528/LibFewShot | ea8d618995a51079c79a6291af2ca02b01b846ea | [
"MIT"
] | 24 | 2021-09-22T02:34:05.000Z | 2022-02-19T07:26:39.000Z | core/data/samplers.py | liuwenqi528/LibFewShot | ea8d618995a51079c79a6291af2ca02b01b846ea | [
"MIT"
] | 82 | 2021-09-16T12:48:01.000Z | 2022-03-28T06:57:47.000Z | # -*- coding: utf-8 -*-
| 30.059701 | 77 | 0.57001 | # -*- coding: utf-8 -*-
import numpy as np
import torch
from torch.utils.data import Sampler
class CategoriesSampler(Sampler):
"""A Sampler to sample a FSL task.
Args:
Sampler (torch.utils.data.Sampler): Base sampler from PyTorch.
"""
def __init__(
self,
label_list,
l... | 0 | 0 | 0 | 1,897 | 0 | 0 | 0 | 3 | 89 |
f4dfdda1fdb02e78c8bd30f11a83b3dbc225966a | 7,722 | py | Python | bicpl/obj.py | FNNDSC/pybicpl | c6211805953f2a57be6a3630cd852d3f87a662e0 | [
"MIT"
] | null | null | null | bicpl/obj.py | FNNDSC/pybicpl | c6211805953f2a57be6a3630cd852d3f87a662e0 | [
"MIT"
] | null | null | null | bicpl/obj.py | FNNDSC/pybicpl | c6211805953f2a57be6a3630cd852d3f87a662e0 | [
"MIT"
] | null | null | null |
def _list2str(array):
"""
Join a list with spaces between elements.
"""
return ' '.join(str(a) for a in array)
| 34.168142 | 118 | 0.578736 | import os
import numpy as np
import numpy.typing as npt
from dataclasses import dataclass
from bicpl.types import SurfProp, Colour
@dataclass(frozen=True)
class PolygonObj:
"""
Polygonal mesh in `.obj` file format.
http://www.bic.mni.mcgill.ca/users/mishkin/mni_obj_format.pdf
Note: the data represe... | 0 | 7,293 | 0 | 0 | 0 | 120 | 0 | 21 | 157 |
21c9da6c066c767ba6dbb1d507644c104ded5a81 | 4,058 | py | Python | migrations/versions/247c9e7de059_.py | hellwen/mytrade | fd2518ef043df1528d3d4fc9d1af74172f0d636a | [
"BSD-3-Clause"
] | null | null | null | migrations/versions/247c9e7de059_.py | hellwen/mytrade | fd2518ef043df1528d3d4fc9d1af74172f0d636a | [
"BSD-3-Clause"
] | null | null | null | migrations/versions/247c9e7de059_.py | hellwen/mytrade | fd2518ef043df1528d3d4fc9d1af74172f0d636a | [
"BSD-3-Clause"
] | null | null | null | """empty message
Revision ID: 247c9e7de059
Revises: None
Create Date: 2015-12-02 15:03:20.582541
"""
# revision identifiers, used by Alembic.
revision = '247c9e7de059'
down_revision = None
| 39.019231 | 75 | 0.676934 | """empty message
Revision ID: 247c9e7de059
Revises: None
Create Date: 2015-12-02 15:03:20.582541
"""
# revision identifiers, used by Alembic.
revision = '247c9e7de059'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###... | 0 | 0 | 0 | 0 | 0 | 3,770 | 0 | 3 | 91 |
6b130a327765a587bde17b4ef51ad6ce550cc0e4 | 16,412 | py | Python | src/sage/interfaces/latte.py | dimpase/sagetrac-mirror | 473cd41f19ec23df7e207391cfb0cf41c7c4ef46 | [
"BSL-1.0"
] | 1,742 | 2015-01-04T07:06:13.000Z | 2022-03-30T11:32:52.000Z | src/sage/interfaces/latte.py | dimpase/sagetrac-mirror | 473cd41f19ec23df7e207391cfb0cf41c7c4ef46 | [
"BSL-1.0"
] | 66 | 2015-03-19T19:17:24.000Z | 2022-03-16T11:59:30.000Z | src/sage/interfaces/latte.py | dimpase/sagetrac-mirror | 473cd41f19ec23df7e207391cfb0cf41c7c4ef46 | [
"BSL-1.0"
] | 495 | 2015-01-10T10:23:18.000Z | 2022-03-24T22:06:11.000Z | r"""
Interface to LattE integrale programs
"""
#*****************************************************************************
# Copyright (C) 2017 Vincent Delecroix <vincent.delecroix@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public... | 35.143469 | 126 | 0.602181 | r"""
Interface to LattE integrale programs
"""
#*****************************************************************************
# Copyright (C) 2017 Vincent Delecroix <vincent.delecroix@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
864fb7ebe95beb35893c514f912a85306dc62da8 | 3,629 | py | Python | vulnerabilities/tests/test_alpine.py | bhuvi11/vulnerablecode | 8044a9826568b24397d143e17624299f8008b0e0 | [
"Apache-2.0"
] | null | null | null | vulnerabilities/tests/test_alpine.py | bhuvi11/vulnerablecode | 8044a9826568b24397d143e17624299f8008b0e0 | [
"Apache-2.0"
] | null | null | null | vulnerabilities/tests/test_alpine.py | bhuvi11/vulnerablecode | 8044a9826568b24397d143e17624299f8008b0e0 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/vulnerablecode/
# The VulnerableCode software is licensed under the Apache License version 2.0.
# Data generated with VulnerableCode require an acknowledgment.
#
# You may not use this software except in complian... | 39.445652 | 99 | 0.63709 | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/vulnerablecode/
# The VulnerableCode software is licensed under the Apache License version 2.0.
# Data generated with VulnerableCode require an acknowledgment.
#
# You may not use this software except in complian... | 0 | 73 | 0 | 1,811 | 0 | 0 | 0 | 115 | 157 |
ff5a70baf4972d867ca8d968bf2847c28304808a | 348 | py | Python | baike_spider/html_downloader.py | iicoom/Python | 977e552f53c1919bebb11fc4a0eaf2fbbb35f71a | [
"MIT"
] | null | null | null | baike_spider/html_downloader.py | iicoom/Python | 977e552f53c1919bebb11fc4a0eaf2fbbb35f71a | [
"MIT"
] | null | null | null | baike_spider/html_downloader.py | iicoom/Python | 977e552f53c1919bebb11fc4a0eaf2fbbb35f71a | [
"MIT"
] | null | null | null |
#urllib2pythonpython2
#python3urlliburllib2urllib | 19.333333 | 44 | 0.655172 | import urllib
class HtmlDownloader(object):
def download(self, url):
if url is None:
return None
response = urllib.urlopen(url)
if response.getcode() != 200:
return None
return response.read()
#urllib2是一个标准库，安装python之后就自带了，并且只在于python2中
#在python3中，已经把ur... | 117 | 0 | 0 | 221 | 0 | 0 | 0 | -8 | 45 |
d2ef85c011c60c30665c3bb1c7daa00f27a9f583 | 394 | py | Python | scripts/clean_output.py | ivanna-ostrovets/compilation-theory | 766b827431c7b71720e6798350d363ee373a25f4 | [
"MIT"
] | null | null | null | scripts/clean_output.py | ivanna-ostrovets/compilation-theory | 766b827431c7b71720e6798350d363ee373a25f4 | [
"MIT"
] | null | null | null | scripts/clean_output.py | ivanna-ostrovets/compilation-theory | 766b827431c7b71720e6798350d363ee373a25f4 | [
"MIT"
] | null | null | null | import os
if __name__ == '__main__':
path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
dirs_to_remove = ['output']
clean_output(path, dirs_to_remove)
| 23.176471 | 71 | 0.642132 | import os
import shutil
def clean_output(path, dirs_to_remove):
for root, dirs, files in os.walk(path):
for dir in dirs:
if dir in dirs_to_remove:
shutil.rmtree(root + "/" + dir)
if __name__ == '__main__':
path = os.path.dirname(os.path.dirname(os.path.realpath(__file__))... | 0 | 0 | 0 | 0 | 0 | 173 | 0 | -8 | 45 |
520b6b58e129ff7fda3896c6ff71336d463f4c99 | 81,000 | py | Python | skidl/libs/dc-dc_sklib.py | arjenroodselaar/skidl | 0bf801bd3b74e6ef94bd9aa1b68eef756b568276 | [
"MIT"
] | 700 | 2016-08-16T21:12:50.000Z | 2021-10-10T02:15:18.000Z | skidl/libs/dc-dc_sklib.py | 0dvictor/skidl | 458709a10b28a864d25ae2c2b44c6103d4ddb291 | [
"MIT"
] | 118 | 2016-08-16T20:51:05.000Z | 2021-10-10T08:07:18.000Z | skidl/libs/dc-dc_sklib.py | 0dvictor/skidl | 458709a10b28a864d25ae2c2b44c6103d4ddb291 | [
"MIT"
] | 94 | 2016-08-25T14:02:28.000Z | 2021-09-12T05:17:08.000Z | from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib
SKIDL_lib_version = '0.0.1'
dc_dc = SchLib(tool=SKIDL).add_parts(*[
Part(name='ADP1108',dest=TEMPLATE,tool=SKIDL,keywords='switching buck boost converter step-down step-up',description='Micropower DC-DC conveter, step-up or step-down operation, 2V-30Vin, ad... | 80.039526 | 426 | 0.610741 | from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib
SKIDL_lib_version = '0.0.1'
dc_dc = SchLib(tool=SKIDL).add_parts(*[
Part(name='ADP1108',dest=TEMPLATE,tool=SKIDL,keywords='switching buck boost converter step-down step-up',description='Micropower DC-DC conveter, step-up or step-down operation, 2V-30Vin, ad... | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e758dd6d892125a54dd0a0809101ec74403d7e22 | 5,608 | py | Python | chat_state.py | ProgrammingIncluded/PyAN | b5628891c2f0f7b4deb97d92c7b6ab1163a13b54 | [
"MIT"
] | null | null | null | chat_state.py | ProgrammingIncluded/PyAN | b5628891c2f0f7b4deb97d92c7b6ab1163a13b54 | [
"MIT"
] | null | null | null | chat_state.py | ProgrammingIncluded/PyAN | b5628891c2f0f7b4deb97d92c7b6ab1163a13b54 | [
"MIT"
] | null | null | null | ############################################
# Project: PyAN
# File: chat_state.py
# By: ProgrammingIncluded
# Website: ProgrammingIncluded.com
# Desc: File to hold chat screen and logic.
############################################
from datetime import datetime
# File to handle chats.
# Keeps track of new chat data, ... | 28.180905 | 107 | 0.622147 | ############################################
# Project: PyAN
# File: chat_state.py
# By: ProgrammingIncluded
# Website: ProgrammingIncluded.com
# Desc: File to hold chat screen and logic.
############################################
import input_buffer as ib
import connect as cnt
from command import print_buf
import c... | 0 | 0 | 1,223 | 0 | 0 | 1,883 | 0 | 7 | 420 |
ab34fd8f2e7ea59b40d4c45ffef5279e314aabd8 | 10,280 | py | Python | get_angle_route.py | cfhaiteeh/FightRoute | 0055b13848d957d3876049ab8cba45d268fc34d6 | [
"MIT"
] | 13 | 2019-11-11T10:26:19.000Z | 2021-07-03T05:08:06.000Z | get_angle_route.py | cfhaiteeh/FightRoute | 0055b13848d957d3876049ab8cba45d268fc34d6 | [
"MIT"
] | null | null | null | get_angle_route.py | cfhaiteeh/FightRoute | 0055b13848d957d3876049ab8cba45d268fc34d6 | [
"MIT"
] | 3 | 2020-06-16T06:21:05.000Z | 2020-08-19T04:03:11.000Z | from data_processing import csv_processing
from sympy.abc import x, y, z
import math
csv_data = csv_processing.get_data('data/data2.csv')
# data1##############################################################
# ans_min= 103512, curve length = 103652
# [0, 503, 200, 80, 237, 170, 278, 369, 214, 397, 612]
# ans_min= ... | 37.381818 | 227 | 0.563716 | from math import sqrt, acos, pi
from model.model import Model
from data_processing import csv_processing
from sympy import *
from sympy.abc import x, y, z
from scipy.optimize import fsolve
import math
csv_data = csv_processing.get_data('data/data2.csv')
class Vector(object):
def __init__(self, coordinates):
... | 363 | 0 | 0 | 876 | 0 | 0 | 0 | 28 | 111 |
633b30c2d7f3dafe3015745b544ea24057f6af41 | 216 | py | Python | setup.py | OneStrangeAlgorithm/reddit-inbox-parser | 9d2ae76e4c8f9540d804d56fd3354081f5ba95da | [
"MIT"
] | null | null | null | setup.py | OneStrangeAlgorithm/reddit-inbox-parser | 9d2ae76e4c8f9540d804d56fd3354081f5ba95da | [
"MIT"
] | null | null | null | setup.py | OneStrangeAlgorithm/reddit-inbox-parser | 9d2ae76e4c8f9540d804d56fd3354081f5ba95da | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(name='inbox_personal_parser',
version='1.0',
install_requires=[
'matplotlib', 'numpy','pandas'
],
py_modules=['inbox_personal_parser']
)
| 24 | 42 | 0.625 | from distutils.core import setup
setup(name='inbox_personal_parser',
version='1.0',
install_requires=[
'matplotlib', 'numpy','pandas'
],
py_modules=['inbox_personal_parser']
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
564205bb675fa67eb13afacb4492b71d62426f73 | 7,864 | py | Python | pgoapi/utilities.py | z3cr3t/api | 960c0c10a76e1f46e99de7f8de8644b00cf95d0d | [
"MIT"
] | null | null | null | pgoapi/utilities.py | z3cr3t/api | 960c0c10a76e1f46e99de7f8de8644b00cf95d0d | [
"MIT"
] | null | null | null | pgoapi/utilities.py | z3cr3t/api | 960c0c10a76e1f46e99de7f8de8644b00cf95d0d | [
"MIT"
] | null | null | null | """
pgoapi - Pokemon Go API
Copyright (c) 2016 tjado <https://github.com/tejado>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
t... | 34.79646 | 133 | 0.63441 | """
pgoapi - Pokemon Go API
Copyright (c) 2016 tjado <https://github.com/tejado>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
t... | 0 | 0 | 0 | 589 | 0 | 4,259 | 0 | 37 | 534 |
c671544be4fba8f56a178de1bfca22ffa337c680 | 2,198 | py | Python | totalvoice/cliente/api/central/ura.py | kmee/totalvoice-python | 715daf50509acb4f05c38db49d88629f7d0a8e71 | [
"MIT"
] | 25 | 2017-11-03T00:15:26.000Z | 2021-01-22T01:30:08.000Z | totalvoice/cliente/api/central/ura.py | kmee/totalvoice-python | 715daf50509acb4f05c38db49d88629f7d0a8e71 | [
"MIT"
] | 1 | 2018-08-08T12:49:48.000Z | 2018-08-17T17:57:41.000Z | totalvoice/cliente/api/central/ura.py | kmee/totalvoice-python | 715daf50509acb4f05c38db49d88629f7d0a8e71 | [
"MIT"
] | 10 | 2017-10-20T23:22:17.000Z | 2022-03-08T20:40:19.000Z | # coding=utf-8
| 25.55814 | 148 | 0.601001 | # coding=utf-8
from totalvoice.cliente.api.helper import utils
from totalvoice.cliente.api.helper.routes import Routes
from totalvoice.cliente.api.totalvoice import Totalvoice
import json, requests
class Ura(Totalvoice):
def __init__(self, cliente):
super(Ura, self).__init__(cliente)
def criar(self... | 66 | 0 | 0 | 1,942 | 0 | 0 | 0 | 95 | 112 |
4f6b6b108f537af275b20de53fb34c8e874d43ed | 5,694 | py | Python | src/swordfish/monitor.py | LooseLab/swordfish | db1686cdc511aed9f4f19b499a9191b2aff81f3f | [
"MIT"
] | null | null | null | src/swordfish/monitor.py | LooseLab/swordfish | db1686cdc511aed9f4f19b499a9191b2aff81f3f | [
"MIT"
] | 1 | 2022-01-28T16:57:27.000Z | 2022-01-28T16:57:27.000Z | src/swordfish/monitor.py | LooseLab/swordfish | db1686cdc511aed9f4f19b499a9191b2aff81f3f | [
"MIT"
] | null | null | null | import logging
import sys
import time
from pprint import pformat
from rich.logging import RichHandler
from rich.console import Console
from swordfish.endpoints import EndPoint
from swordfish.minotour_api import MinotourAPI
from swordfish.utils import validate_mt_connection, write_toml_file, get_original_toml_settings... | 40.671429 | 188 | 0.684932 | import logging
import sys
import time
from pprint import pformat
from rich.logging import RichHandler
from rich.console import Console
from swordfish.endpoints import EndPoint
from swordfish.minotour_api import MinotourAPI
from swordfish.utils import validate_mt_connection, write_toml_file, get_original_toml_settings... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 23 |
f2144acceca67c3cd830ee591a18174ffec1f2af | 4,670 | py | Python | dashboard/dashboard/pinpoint/handlers/cas.py | BearerPipelineTest/catapult | 3800a67cd916200046a50748893bbd0dcf3d7f4a | [
"BSD-3-Clause"
] | null | null | null | dashboard/dashboard/pinpoint/handlers/cas.py | BearerPipelineTest/catapult | 3800a67cd916200046a50748893bbd0dcf3d7f4a | [
"BSD-3-Clause"
] | 1 | 2022-01-12T14:28:55.000Z | 2022-01-12T14:28:55.000Z | dashboard/dashboard/pinpoint/handlers/cas.py | atuchin-m/catapult | 108ea3e2ec108e68216b1250a3d79cc642600294 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2021 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.
"""Service for tracking CAS reference from RBE and looking them up by
builder and commit.
RBE is the Remote Build Execution used for building and storing the... | 32.887324 | 79 | 0.68758 | # Copyright 2021 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.
"""Service for tracking CAS reference from RBE and looking them up by
builder and commit.
RBE is the Remote Build Execution used for building and storing the... | 0 | 0 | 0 | 3,934 | 0 | 0 | 0 | 87 | 134 |
996c930d9d02aeb43c6461584b566692eacdf450 | 6,464 | py | Python | wordle.py | salil91/wordle_bot | bcf2e101dbba489f9c063586faabd5a548e40d0e | [
"MIT"
] | null | null | null | wordle.py | salil91/wordle_bot | bcf2e101dbba489f9c063586faabd5a548e40d0e | [
"MIT"
] | null | null | null | wordle.py | salil91/wordle_bot | bcf2e101dbba489f9c063586faabd5a548e40d0e | [
"MIT"
] | null | null | null | # wordle.py - Play Wordle in the command line
# Usage: wordle.py [-h] [--hard] [--answer ANSWER] [--show-answer]
#
# options:
# -h, --help show this help message and exit
# --hard Enable hard mode
# -a ANSWER, --answer ANSWER
# Provide the answer
# --show-answe... | 31.227053 | 98 | 0.575031 | # wordle.py - Play Wordle in the command line
# Usage: wordle.py [-h] [--hard] [--answer ANSWER] [--show-answer]
#
# options:
# -h, --help show this help message and exit
# --hard Enable hard mode
# -a ANSWER, --answer ANSWER
# Provide the answer
# --show-answe... | 0 | 0 | 0 | 0 | 0 | 5,490 | 0 | -26 | 182 |
035d6a6f8ab514691910e6331e9927a76dc1d2e1 | 5,796 | py | Python | faster-rcnn-tutorial/detection/transformations.py | ifding/self-driving-car | fc8bc808d5439686f0ee24a4f0f3b1f5354df6c0 | [
"MIT"
] | 13 | 2018-05-15T16:33:11.000Z | 2019-02-14T06:46:31.000Z | faster-rcnn-tutorial/detection/transformations.py | ifding/self-driving-car | fc8bc808d5439686f0ee24a4f0f3b1f5354df6c0 | [
"MIT"
] | null | null | null | faster-rcnn-tutorial/detection/transformations.py | ifding/self-driving-car | fc8bc808d5439686f0ee24a4f0f3b1f5354df6c0 | [
"MIT"
] | 15 | 2018-05-18T19:19:48.000Z | 2021-11-03T04:36:50.000Z | from typing import List
import numpy as np
import torch
from sklearn.externals._pilutil import bytescale
from torchvision.ops import nms
def normalize_01(inp: np.ndarray):
"""Squash image input to the value range [0, 1] (no clipping)"""
inp_out = (inp - np.min(inp)) / np.ptp(inp)
return inp_out
def norm... | 28.411765 | 102 | 0.634748 | from functools import partial
from typing import List, Callable
import albumentations as A
import numpy as np
import torch
from sklearn.externals._pilutil import bytescale
from torchvision.ops import nms
def normalize_01(inp: np.ndarray):
"""Squash image input to the value range [0, 1] (no clipping)"""
inp_o... | 0 | 0 | 0 | 2,879 | 0 | 137 | 0 | 23 | 256 |
25e0eda74a0a2d3acf19dbccee784b659b59d150 | 2,658 | py | Python | data/szse_cn/actutor.py | dingyuanhong/Collection | 43bfae16c93b643d1b09d84f27bfdbe5ef8ed497 | [
"MIT"
] | 1 | 2021-07-03T13:39:42.000Z | 2021-07-03T13:39:42.000Z | data/szse_cn/actutor.py | dingyuanhong/Collection | 43bfae16c93b643d1b09d84f27bfdbe5ef8ed497 | [
"MIT"
] | null | null | null | data/szse_cn/actutor.py | dingyuanhong/Collection | 43bfae16c93b643d1b09d84f27bfdbe5ef8ed497 | [
"MIT"
] | 1 | 2020-05-29T23:38:22.000Z | 2020-05-29T23:38:22.000Z |
this = self_handlers() | 27.978947 | 97 | 0.599699 | from actuator.register import fm;
from .task import *
import data.db as database
import copy
class self_handlers:
handlers = {};
def route(self,func):
def registe(cls):
self.handlers[func] = cls;
return cls;
return registe;
this = self_handlers()
@fm.route("szse.com",... | 33 | 2,212 | 0 | 157 | 0 | 0 | 0 | 4 | 251 |
0b0b5074c0c90335e14a248846319d17179513c1 | 11,247 | py | Python | 4_archmage/ann.py | leriomaggio/develer-data-science | 454e4d3b1aac5a167080d7c9abc58e7382105169 | [
"MIT"
] | 4 | 2018-10-18T07:44:19.000Z | 2020-07-25T03:48:42.000Z | 4_archmage/ann.py | leriomaggio/develer-data-science | 454e4d3b1aac5a167080d7c9abc58e7382105169 | [
"MIT"
] | 4 | 2021-06-08T19:22:45.000Z | 2022-03-11T23:32:44.000Z | 4_archmage/ann.py | leriomaggio/develer-data-science | 454e4d3b1aac5a167080d7c9abc58e7382105169 | [
"MIT"
] | 2 | 2019-07-30T02:33:29.000Z | 2020-09-03T11:27:27.000Z | """Python Implementation of Multi-Layer Perceptron"""
# =================
# Utility functions
# =================
import random
random.seed(123)
# calculate a random number where: a <= rand < b
# Make a matrix
# our sigmoid function
# derivative of our sigmoid function, in terms of the output (i.e. y)
# =======... | 27.70197 | 77 | 0.530897 | """Python Implementation of Multi-Layer Perceptron"""
import numpy as np
from numpy.random import seed
# =================
# Utility functions
# =================
import random
random.seed(123)
# calculate a random number where: a <= rand < b
def rand(a, b):
return (b-a)*random.random() + a
# Make a matrix
de... | 0 | 0 | 0 | 10,552 | 0 | 130 | 0 | 5 | 225 |
74c8f7159b191cad22f78f7bba1eb84335f560f9 | 70 | py | Python | api/src/utils/constants.py | ethanglaser/alt_api | 3be37efcfaea477d52e240a389d74bf0d0a1faf0 | [
"MIT"
] | null | null | null | api/src/utils/constants.py | ethanglaser/alt_api | 3be37efcfaea477d52e240a389d74bf0d0a1faf0 | [
"MIT"
] | null | null | null | api/src/utils/constants.py | ethanglaser/alt_api | 3be37efcfaea477d52e240a389d74bf0d0a1faf0 | [
"MIT"
] | 1 | 2022-02-28T22:05:06.000Z | 2022-02-28T22:05:06.000Z | #!/usr/bin/env python3
"""
Common constants
"""
# put constants here
| 10 | 22 | 0.671429 | #!/usr/bin/env python3
"""
Common constants
"""
# put constants here
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0dc7942fe2367dd38c0a75e4cf534ac6c6dba719 | 4,129 | py | Python | plugins/modules/openafs_store_facts.py | CheyenneWills/ansible-openafs | efd4000685da594881ba5566518020d033001ece | [
"BSD-2-Clause"
] | null | null | null | plugins/modules/openafs_store_facts.py | CheyenneWills/ansible-openafs | efd4000685da594881ba5566518020d033001ece | [
"BSD-2-Clause"
] | null | null | null | plugins/modules/openafs_store_facts.py | CheyenneWills/ansible-openafs | efd4000685da594881ba5566518020d033001ece | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2020, Sine Nomine Associates
# BSD 2-Clause License
ANSIBLE_METADATA = {
'metadata_version': '1.1.',
'status': ['preview'],
'supported_by': 'community',
}
DOCUMENTATION = r'''
---
module: openafs_store_facts
short_description: Store OpenAFS facts in a json file
descript... | 30.138686 | 78 | 0.618067 | #!/usr/bin/python
# Copyright (c) 2020, Sine Nomine Associates
# BSD 2-Clause License
ANSIBLE_METADATA = {
'metadata_version': '1.1.',
'status': ['preview'],
'supported_by': 'community',
}
DOCUMENTATION = r'''
---
module: openafs_store_facts
short_description: Store OpenAFS facts in a json file
descript... | 0 | 0 | 0 | 0 | 0 | 2,703 | 0 | 1 | 249 |
4b16c2cbf4f9436ef3ec03d61ee4684b4f9599e0 | 15,450 | py | Python | batchtools/check_status.py | pwighton/batchtools | 70706ca8b1a9e0886fffc74b50a458391cab52f1 | [
"BSD-3-Clause"
] | null | null | null | batchtools/check_status.py | pwighton/batchtools | 70706ca8b1a9e0886fffc74b50a458391cab52f1 | [
"BSD-3-Clause"
] | 1 | 2021-02-19T23:09:24.000Z | 2021-02-19T23:09:24.000Z | batchtools/check_status.py | pwighton/batchtools | 70706ca8b1a9e0886fffc74b50a458391cab52f1 | [
"BSD-3-Clause"
] | 1 | 2021-02-19T17:42:56.000Z | 2021-02-19T17:42:56.000Z | import json
import logging
logging.basicConfig(format="%(message)s", level=logging.INFO)
def read_json(json_file):
""" (file) -> dict
Read in json_file, which is in json format, and
output a dict with its contents
"""
with open(json_file) as f:
data = json.load(f)
return data
def ... | 31.921488 | 138 | 0.580129 | from collections import defaultdict
import datetime
import json
import logging
import os
import sys
import time
from urllib.parse import urlparse
import boto3
from botocore.exceptions import ClientError
import click
logging.basicConfig(format="%(message)s", level=logging.INFO)
def read_file(input_file):
file_co... | 0 | 11,340 | 0 | 0 | 0 | 3,137 | 0 | -9 | 429 |
5a3d8360392d0193c6e8dd7ba09c2d1c9c53052f | 36,176 | py | Python | sdk/python/pulumi_azure_nextgen/insights/v20180301/outputs.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/insights/v20180301/outputs.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/insights/v20180301/outputs.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from ... import _utilities, _tables
__all__ = [
'AutomationRunbookReceiverResponse',
'AzureAppPushReceiverResponse',
'AzureFu... | 35.466667 | 227 | 0.641613 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 0 | 34,768 | 0 | 0 | 0 | 0 | 0 | 31 | 480 |
48604f9016b7a0e02473b3c43505936005371dbd | 1,536 | py | Python | tests/Unit/Domain/Python/Test_ElementId.py | nilsvu/spectre | 1455b9a8d7e92db8ad600c66f54795c29c3052ee | [
"MIT"
] | 117 | 2017-04-08T22:52:48.000Z | 2022-03-25T07:23:36.000Z | tests/Unit/Domain/Python/Test_ElementId.py | GitHimanshuc/spectre | 4de4033ba36547113293fe4dbdd77591485a4aee | [
"MIT"
] | 3,177 | 2017-04-07T21:10:18.000Z | 2022-03-31T23:55:59.000Z | tests/Unit/Domain/Python/Test_ElementId.py | geoffrey4444/spectre | 9350d61830b360e2d5b273fdd176dcc841dbefb0 | [
"MIT"
] | 85 | 2017-04-07T19:36:13.000Z | 2022-03-01T10:21:00.000Z | # Distributed under the MIT License.
# See LICENSE.txt for details.
import unittest
if __name__ == '__main__':
unittest.main(verbosity=2)
| 36.571429 | 76 | 0.599609 | # Distributed under the MIT License.
# See LICENSE.txt for details.
from spectre.Domain import ElementId1D, ElementId2D, ElementId3D, SegmentId
import unittest
class TestElementId(unittest.TestCase):
def test_construction(self):
element_id = ElementId1D(block_id=1)
self.assertEqual(element_id.blo... | 0 | 0 | 0 | 1,291 | 0 | 0 | 0 | 54 | 46 |
be04224e66685cffdcbb2ea5d93e2e88ae71ac13 | 2,368 | py | Python | spira/yevon/process/layer_map.py | qedalab/spira | 32e4d2096e298b9fcc5952abd654312dc232a259 | [
"MIT"
] | 10 | 2018-07-13T09:46:21.000Z | 2021-06-22T13:34:50.000Z | spira/yevon/process/layer_map.py | qedalab/spira | 32e4d2096e298b9fcc5952abd654312dc232a259 | [
"MIT"
] | 8 | 2018-09-09T11:32:40.000Z | 2019-10-08T07:47:31.000Z | spira/yevon/process/layer_map.py | qedalab/spira | 32e4d2096e298b9fcc5952abd654312dc232a259 | [
"MIT"
] | 7 | 2019-01-17T18:50:17.000Z | 2022-01-13T20:27:52.000Z | from spira.yevon.process import get_rule_deck
RDD = get_rule_deck()
__all__ = ['MapGdsiiToPhysical', 'MapPhysicalToGdsii']
| 35.878788 | 97 | 0.670186 | from spira.core.parameters.variables import DictParameter
from spira.core.parameters.initializer import ParameterInitializer
from spira.core.parameters.descriptor import Parameter
from spira.yevon.process.all import *
from spira.yevon.process import get_rule_deck
RDD = get_rule_deck()
__all__ = ['MapGdsiiToPhysical... | 0 | 194 | 0 | 1,781 | 0 | 0 | 0 | 130 | 134 |
5be75af59e12d2c5a0e5929f16d7cf1f2b35602b | 537 | py | Python | scale/ingest/scan/configuration/exceptions.py | kaydoh/scale | 1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee | [
"Apache-2.0"
] | 121 | 2015-11-18T18:15:33.000Z | 2022-03-10T01:55:00.000Z | scale/ingest/scan/configuration/exceptions.py | kaydoh/scale | 1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee | [
"Apache-2.0"
] | 1,415 | 2015-12-23T23:36:04.000Z | 2022-01-07T14:10:09.000Z | scale/ingest/scan/configuration/exceptions.py | kaydoh/scale | 1b6a3b879ffe83e10d3b9d9074835a4c3bf476ee | [
"Apache-2.0"
] | 66 | 2015-12-03T20:38:56.000Z | 2020-07-27T15:28:11.000Z | """Defines exceptions that can occur when interacting with Scan configuration""" | 38.357143 | 97 | 0.750466 | """Defines exceptions that can occur when interacting with Scan configuration"""
from util.exceptions import ValidationException
class InvalidScanConfiguration(ValidationException):
"""Exception indicating that the provided Scan configuration was invalid"""
def __init__(self, description):
"""Construc... | 0 | 0 | 0 | 386 | 0 | 0 | 0 | 26 | 45 |
8e260b23a5b3a090c4476a794c44dbbc1cde1aa1 | 10,998 | py | Python | dlpy/model_conversion/onnx_transforms.py | arharvey918/python-dlpy | 423985ebe65acbcbe9a7996bb26aee5e66eddc49 | [
"Apache-2.0"
] | 1 | 2018-08-27T15:10:11.000Z | 2018-08-27T15:10:11.000Z | dlpy/model_conversion/onnx_transforms.py | arharvey918/python-dlpy | 423985ebe65acbcbe9a7996bb26aee5e66eddc49 | [
"Apache-2.0"
] | null | null | null | dlpy/model_conversion/onnx_transforms.py | arharvey918/python-dlpy | 423985ebe65acbcbe9a7996bb26aee5e66eddc49 | [
"Apache-2.0"
] | 1 | 2019-09-19T15:59:26.000Z | 2019-09-19T15:59:26.000Z | #!/usr/bin/env python
# encoding: utf-8
#
# Copyright SAS Institute
#
# 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... | 30.381215 | 77 | 0.59329 | #!/usr/bin/env python
# encoding: utf-8
#
# Copyright SAS Institute
#
# 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... | 0 | 114 | 0 | 9,867 | 0 | 0 | 0 | 96 | 254 |
503881dc00b3d350acf581bc073bb082a0eacc56 | 803 | py | Python | listremove.py | carltraveler/FormalVerfication | 52b7d15e066a477b732fb80cade4fbd64f60b879 | [
"MIT"
] | null | null | null | listremove.py | carltraveler/FormalVerfication | 52b7d15e066a477b732fb80cade4fbd64f60b879 | [
"MIT"
] | null | null | null | listremove.py | carltraveler/FormalVerfication | 52b7d15e066a477b732fb80cade4fbd64f60b879 | [
"MIT"
] | null | null | null | OntCversion = '2.0.0'
import ontology.builtins
| 18.674419 | 40 | 0.523039 | OntCversion = '2.0.0'
import ontology.builtins
import ontology.libont
def VaasAssert(expr):
if not expr:
raise Exception("AssertError")
def main():
equal = 9
l4 = l3 = l = [9, 8, "hello", 6]
l1 = [9, 8, "world" ,6]
l2 = [9, 8, "hello", 6]
if l is l2:
equal = 1
else:
... | 0 | 0 | 0 | 0 | 0 | 687 | 0 | 1 | 68 |
36b5baa6bcd6f0e6d530726507232ed96303b6b6 | 2,424 | py | Python | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | Examples/2017 code/GetDatasetfromFiles.py | VickyBize/predicting-depression-with-nn | 7261033e8e89944292082d7788b1b05929edfe28 | [
"MIT"
] | null | null | null | import os
import re
import sys
import numpy as np
from collections import Counter
import collections
import h5py
import pandas as pd
pathname = os.path.abspath('C:\\Users\\Vicky\\Desktop\\Courses\\Avi\\erisk collections_2017_2018\\erisk collections\\2017\\2test')
os.chdir(pathname)
#############Read Outpu... | 31.894737 | 131 | 0.492574 | import os
import re
import sys
import numpy as np
from collections import Counter
import collections
import h5py
import pandas as pd
pathname = os.path.abspath('C:\\Users\\Vicky\\Desktop\\Courses\\Avi\\erisk collections_2017_2018\\erisk collections\\2017\\2test')
os.chdir(pathname)
#############Read Outpu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e431ba97f53ff9a52b67b4a4e5466ab127b70b94 | 619 | py | Python | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | two_b.py | pkpatricia/python34 | 5ee4f864444b8835f8ee6cf416bc9fd1d969595b | [
"bzip2-1.0.6"
] | null | null | null | color =["red", "green", "purple", "orange", "blue", "yellow"]
pick = input("What is your favorite color ? ")
if pick in color:
# Storing the rank of the color picked
rank = color.index(pick) + 1
# Check if the color is in your list
if rank == 1:
print("That is my favorite color.")... | 22.107143 | 61 | 0.560582 | color =["red", "green", "purple", "orange", "blue", "yellow"]
pick = input("What is your favorite color ? ")
if pick in color:
# Storing the rank of the color picked
rank = color.index(pick) + 1
# Check if the color is in your list
if rank == 1:
print("That is my favorite color.")... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
138129d74b8b0f40430669bc72780639a642852c | 913 | py | Python | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | crds/tests/profile_pickling.py | nden/crds | b72f14cf07531ca70b61daa6b58e762e5899afa4 | [
"BSD-3-Clause"
] | null | null | null | """This module is used to profile getrecommendations() and bestreds.BestrefsScript()."""
from crds.tests.test_config import run_and_profile
if __name__ == "__main__":
run_and_profile("HST pickle/unpickle", "pickle_unpickle('hst.pmap', 'data/j8bt06o6q_raw.fits')", globals())
| 30.433333 | 112 | 0.674699 | """This module is used to profile getrecommendations() and bestreds.BestrefsScript()."""
from crds.python23 import pickle
import crds
from crds.tests.test_config import run_and_profile
from crds import data_file
def pickle_unpickle(context, data):
p = crds.get_cached_mapping(context)
p.get_required_parkeys(... | 0 | 0 | 0 | 0 | 0 | 534 | 0 | 6 | 91 |
3dc7b538e16ff53c625f59a59f95f1ba42f7458d | 8,507 | py | Python | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 2 | 2020-02-15T02:27:05.000Z | 2020-04-19T01:15:37.000Z | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 1 | 2020-02-15T04:43:05.000Z | 2020-02-15T05:16:03.000Z | main.py | cypri99/Off-White-AccGen | e9956265f71ed43b7d14799296143402afd97107 | [
"MIT"
] | 2 | 2020-02-15T03:50:37.000Z | 2020-05-17T22:00:54.000Z | from colorama import Fore, init
import random
from threading import Lock
s_print_lock = Lock()
def s_print(*a, **b):
"""Thread safe print function"""
with s_print_lock:
print(*a, **b)
def get_proxy(proxy_list):
'''
(list) -> dict
Given a proxy list <proxy_list>, a proxy is selected and... | 37.311404 | 255 | 0.543787 | import requests
from colorama import Fore, init
from threading import Thread
import random, time, names, string, json, os
from threading import Lock
from random import choice
s_print_lock = Lock()
def s_print(*a, **b):
"""Thread safe print function"""
with s_print_lock:
print(*a, **b)
def log(tag,... | 0 | 0 | 0 | 0 | 0 | 5,348 | 0 | 36 | 158 |
09c29307b8a660f980d0a78500b3685e3278ae6c | 1,333 | py | Python | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 205 | 2018-12-01T17:49:49.000Z | 2021-12-22T07:02:27.000Z | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 2 | 2020-01-01T16:34:29.000Z | 2020-04-26T19:11:13.000Z | coding_interviews/leetcode/easy/count_students/count_students.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 50 | 2018-11-28T20:51:36.000Z | 2021-11-29T04:08:25.000Z | # https://leetcode.com/problems/number-of-students-unable-to-eat-lunch
| 25.634615 | 132 | 0.548387 | # https://leetcode.com/problems/number-of-students-unable-to-eat-lunch
def is_empty(arr):
return len(arr) == 0
def count_students(students, sandwiches):
preferred_circles = 0
preferred_squares = 0
for student in students:
if student:
preferred_squares += 1
else:
... | 0 | 0 | 0 | 0 | 0 | 1,188 | 0 | 0 | 73 |
44c2bc408c2a5287fbf1d032d22a1fdf9c32764f | 3,477 | py | Python | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | 1 | 2022-02-26T17:33:44.000Z | 2022-02-26T17:33:44.000Z | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | 18 | 2022-01-21T08:42:58.000Z | 2022-03-28T13:21:31.000Z | tests/layer_tests/tensorflow_tests/test_tf_ScatterND.py | pfinashx/openvino | 1d417e888b508415510fb0a92e4a9264cf8bdef7 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
| 47.630137 | 113 | 0.572332 | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from openvino.tools.mo.front.common.partial_infer.utils import int64_array, float32_array
from unit_tests.utils.graph import build_graph, regular_op_with_shaped_data, connect, \
shaped_data, connect_f... | 0 | 503 | 0 | 2,459 | 0 | 0 | 0 | 253 | 179 |
91e21c4e14706dc08066abf07ddc50830bdd919e | 342 | py | Python | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | 3 | 2019-06-13T07:52:12.000Z | 2020-07-05T13:28:43.000Z | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | 23 | 2017-07-07T01:29:33.000Z | 2018-11-23T18:41:08.000Z | python/pygecko/fake/__init__.py | MomsFriendlyRobotCompany/gecko | f340381113bdb423a39d47aaee61e013bb9e002a | [
"MIT"
] | null | null | null | ##############################################
# The MIT License (MIT)
# Copyright (c) 2014 Kevin Walchko
# see LICENSE for full details
##############################################
# this directory contains things for testing and fake sources
# import pygecko.test.fake_camera as cv2
# from pygecko.test.process impo... | 34.2 | 61 | 0.573099 | ##############################################
# The MIT License (MIT)
# Copyright (c) 2014 Kevin Walchko
# see LICENSE for full details
##############################################
# this directory contains things for testing and fake sources
# import pygecko.test.fake_camera as cv2
# from pygecko.test.process impo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f49add4aa7228f69d7edee216cdb417c7cecb848 | 6,473 | py | Python | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | 2 | 2020-10-05T06:12:43.000Z | 2022-03-15T04:15:16.000Z | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | null | null | null | AtomPos/find_peaks.py | rhambach/TEMimage | 436c9d8912db481185d09d9d70c4827c87cbd8a5 | [
"BSD-3-Clause"
] | null | null | null | """
Interactive fitting of peaks in noisy 2D images.
Copyright (c) 2013, rhambach.
This file is part of the TEMimage package and released
under the MIT-Licence. See LICENCE file for details.
"""
import scipy.ndimage as ndimage
import scipy.ndimage.filters as filters
import matplotlib.pyplot as plt
# ---... | 36.570621 | 94 | 0.630002 | """
Interactive fitting of peaks in noisy 2D images.
Copyright (c) 2013, rhambach.
This file is part of the TEMimage package and released
under the MIT-Licence. See LICENCE file for details.
"""
import numpy as np
import scipy.ndimage as ndimage
import scipy.ndimage.filters as filters
import matplotlib.py... | 0 | 0 | 0 | 5,752 | 0 | 0 | 0 | 42 | 90 |
67db5d120956c48d3d49e18bebfa1d66093df016 | 2,802 | gyp | Python | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | 4 | 2016-09-29T00:04:31.000Z | 2021-12-02T08:39:51.000Z | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | null | null | null | CSipSimple/jni/webrtc/sources/common_video/common_video.gyp | dmfr/CSipSimple-mirror | f2f2b8efcb739090a45b205690a0fb5b74bce343 | [
"OpenSSL",
"Unlicense"
] | 1 | 2015-01-20T01:38:20.000Z | 2015-01-20T01:38:20.000Z | # Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 30.791209 | 89 | 0.546395 | # Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE file in the root of the source
# tree. An additional intellectual property rights grant can be found
# in the file PATENTS. All contributing project au... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32f476e0d42b0dd90a1a723fb29cc27b1262e1fb | 12,361 | py | Python | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 121 | 2016-05-31T22:15:02.000Z | 2022-03-30T09:20:51.000Z | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 172 | 2016-01-25T09:00:20.000Z | 2022-03-31T13:22:36.000Z | src/ontology/imports/langual_subsets/adjust_siren.py | OnToologyUser/foodon | 5213dd66c30b62c3bc3538bc3d21db5fba8998c7 | [
"CC-BY-4.0"
] | 31 | 2016-03-17T09:58:02.000Z | 2022-02-25T15:07:31.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import re
foodon_lookup = {}
siren_lookup = {}
nameless = '03301032 03301034 03301067 03301068 03301076 03301078 03301107 03301131 03301149 03301152 03301160 03301163 03301168 03301173 03301183 03301192 03301199 03301206 03301212 03301213 03301221 03301229 03301253 03301287 0... | 209.508475 | 10,445 | 0.845805 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import re
foodon_lookup = {}
siren_lookup = {}
nameless = '03301032 03301034 03301067 03301068 03301076 03301078 03301107 03301131 03301149 03301152 03301160 03301163 03301168 03301173 03301183 03301192 03301199 03301206 03301212 03301213 03301221 03301229 03301253 03301287 0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5676dd80957d6e933463fa91265afbf0f6f96e70 | 1,277 | py | Python | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | problems/047.py | 6112/project-euler | b7478d14aa6defe347ab12178c7ffe90efdcb867 | [
"MIT"
] | null | null | null | #encoding=utf-8
## SOLVED 2014/04/10
## 134043
# The first two consecutive numbers to have two distinct prime factors are:
# 14 = 2 7
# 15 = 3 5
# The first three consecutive numbers to have three distinct prime factors are:
# 644 = 2 7 23
# 645 = 3 5 43
# 646 = 2 17 19.
# Find the first four consecutive i... | 27.170213 | 79 | 0.622553 | #encoding=utf-8
## SOLVED 2014/04/10
## 134043
# The first two consecutive numbers to have two distinct prime factors are:
# 14 = 2 × 7
# 15 = 3 × 5
# The first three consecutive numbers to have three distinct prime factors are:
# 644 = 2² × 7 × 23
# 645 = 3 × 5 × 43
# 646 = 2 × 17 × 19.
# Find the first four cons... | 18 | 0 | 0 | 0 | 0 | 649 | 0 | 0 | 23 |
40e2e30c984b7232475acc2d1822a04974af9399 | 1,150 | py | Python | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | 1 | 2020-07-28T16:53:32.000Z | 2020-07-28T16:53:32.000Z | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | null | null | null | 010_cons.py | Ananyapam7/Rosalind | 3117a4a73989fd9c9faf011b345d5805c9dee0bf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Consensus and Profile
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
from numpy import zeros
from scripts import ReadFASTA
# Data is in FASTA form
dna_list = ReadFASTA('data/rosalind_cons.txt')
... | 26.136364 | 54 | 0.633043 | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Consensus and Profile
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
from numpy import zeros
from scripts import ReadFASTA
# Data is in FASTA form
dna_list = ReadFASTA('data/rosalind_cons.txt')
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
663701b8a32d5455ba2e307ffd2012741310465a | 18,886 | py | Python | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | 1 | 2015-09-06T01:58:45.000Z | 2015-09-06T01:58:45.000Z | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | null | null | null | make_CF_RAPID_output.py | CI-WATER/erfp_data_process_ubuntu_aws | 73ebef7d983900214890ba9f973f5e61cf386cf9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Copies data from RAPID netCDF output to a CF-compliant netCDF file.
Remarks:
A new netCDF file is created with data from RAPID [1] simulation model
output. The result follows CF conventions [2] with additional metadata
prescribed by the NODC timeSeries Orthogonal template [3]... | 38.860082 | 145 | 0.592873 | #!/usr/bin/env python
"""Copies data from RAPID netCDF output to a CF-compliant netCDF file.
Remarks:
A new netCDF file is created with data from RAPID [1] simulation model
output. The result follows CF conventions [2] with additional metadata
prescribed by the NODC timeSeries Orthogonal template [3]... | 0 | 0 | 0 | 0 | 0 | 138 | 0 | 0 | 25 |
bfbadd3fb009fb3bf924dadff61855cd24d40f97 | 2,330 | py | Python | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | null | null | null | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | 123 | 2021-03-22T07:31:09.000Z | 2022-03-28T23:06:32.000Z | beep/tests/test_splice.py | JosephMontoya-TRI/BEEP | a0b880997403c8ef528a4986654bab5f8197b842 | [
"Apache-2.0"
] | null | null | null | # Copyright [2020] [Toyota Research Institute]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 43.148148 | 87 | 0.722747 | # Copyright [2020] [Toyota Research Institute]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 | 0 | 0 | 1,497 | 0 | 0 | 0 | 5 | 89 |
f07d00c018134ce7b4554425cc07a4a6ea40c85c | 505 | py | Python | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null | oo/pessoa.py | valmeida90/pythonbirds | 305c1efbf3a9988c3ab552ad721923a48fc4944a | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
victor = Pessoa(nome='Victor')
vinicius = Pessoa(victor,nome='Vinicius')
print(Pessoa.cumprimentar(vinicius))
print(id(vinicius))
print(vinicius.nome)
print(vinicius.idade)
for filho in vinicius.filhos:
print(filho.nome)
| 22.954545 | 53 | 0.631683 | class Pessoa:
def __init__(self, *filhos, nome=None, idade=35):
self.idade = idade
self.nome = nome
self.filhos = list(filhos)
def cumprimentar(self):
return f'Olá {id(self)}'
if __name__ == '__main__':
victor = Pessoa(nome='Victor')
vinicius = Pessoa(victor,nome='Vin... | 2 | 0 | 0 | 195 | 0 | 0 | 0 | 0 | 22 |
ecf8a9906dc459b62251a9a6b8d74ada32bd7948 | 857 | py | Python | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | examples/panel.py | ronpandolfi/typhos | 2a92d895438d3b0fc41ad51dd5b7f783ca306cf1 | [
"BSD-3-Clause-LBNL"
] | null | null | null | """Example to create a Panel of Ophyd Signals from an object"""
import sys
from qtpy.QtWidgets import QApplication
import typhos
# Create my device without a prefix
sample = Sample('', name='sample')
if __name__ == '__main__':
# Create my application
app = QApplication(sys.argv)
typhos.use_stylesheet()... | 25.205882 | 72 | 0.704784 | """Example to create a Panel of Ophyd Signals from an object"""
import sys
import numpy as np
from qtpy.QtWidgets import QApplication
import typhos
from ophyd import Component as Cpt
from ophyd import Device, Signal
from typhos.utils import SignalRO
class Sample(Device):
"""Simulated Device"""
readback = Cp... | 0 | 0 | 0 | 233 | 0 | 0 | 0 | 33 | 112 |
092091befa54823369ea669470b3ce9ea5f67f85 | 6,009 | py | Python | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | null | null | null | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | null | null | null | src/decomposition.py | jjonhwa/Optuna_and_Knowledge-Distllation | 166641fcdffc5b1f6e017ef917a3b0ff5ff516d6 | [
"MIT"
] | 1 | 2021-12-22T06:38:34.000Z | 2021-12-22T06:38:34.000Z | from tensorly.decomposition import parafac, partial_tucker
import torch
import torch.nn as nn
def cp_decomposition_conv_layer(layer, rank):
# rank = max(layer.weight.data.numpy().shape) // 3
"""Gets a conv layer and a target rank,
returns a nn.Sequential object with the decomposition"""
# Perform CP d... | 31.793651 | 100 | 0.633217 | import tensorly as tl
from tensorly.decomposition import parafac, partial_tucker
import numpy as np
import torch
import torch.nn as nn
from typing import *
def cp_decomposition_conv_layer(layer, rank):
# rank = max(layer.weight.data.numpy().shape) // 3
"""Gets a conv layer and a target rank,
returns a nn.... | 0 | 0 | 0 | 0 | 0 | 1,552 | 0 | -4 | 112 |
81d193fa7ba1fae44c78fce0674e30d3a87651ff | 4,103 | py | Python | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | voice_rec/speech2text.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
import time
framerate = 16000 #
num_samples = 2000
channels = 1
sampwidth = 2 #
FILEPATH = 'speech.wav'
base_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"
APIKey = "xquGU6uUM5EUMmnjbWGkkGUG"
SecretKey = "nfhYce3srBPwc6VQGbYL6KhG... | 26.642857 | 114 | 0.558616 | # -*- coding:utf-8 -*-
import wave
import requests
import time
import base64
import numpy as np
from pyaudio import PyAudio, paInt16
import time
from playsound import playsound
import os
import sys
framerate = 16000 #
num_samples = 2000
channels = 1
sampwidth = 2 #
FILEPATH = 'speech.wav'
base_url = "https://opena... | 252 | 0 | 0 | 0 | 0 | 3,011 | 0 | -35 | 336 |
b7eda93534e3e34ab718a9b46fc7957b48d53805 | 1,613 | py | Python | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | 1 | 2021-11-28T02:44:55.000Z | 2021-11-28T02:44:55.000Z | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | null | null | null | setup.py | heitorbaldo/pypdc | 442fb5ddf7c4dde05413803233812dd54d8d5a11 | [
"MIT"
] | null | null | null | from setuptools import setup
name = "pypdc"
version="0.0.8"
description = "Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis."
authors = {
"Sameshima": ("Koichi Sameshima", "ksameshi@usp.br"),
"Brito": ("Carlos Stein Naves de Brito", "c.brit... | 28.298246 | 135 | 0.637322 | from glob import glob
import os
import sys
from setuptools import setup
name = "pypdc"
version="0.0.8"
description = "Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis."
authors = {
"Sameshima": ("Koichi Sameshima", "ksameshi@usp.br"),
"Brit... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -23 | 66 |
2a697c10547ee998915d7b5fd9f3cad563a31878 | 2,326 | py | Python | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | null | null | null | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | 1 | 2022-01-27T18:10:51.000Z | 2022-01-27T18:10:51.000Z | build_tools/benchmarks/common/android_device_utils.py | tjzhou23/iree | 63fd39fa023d0c1e5fb828a96ba927249252ec52 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2021 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
"""Utils for accessing Android devices."""
import json
import re
from typing i... | 34.716418 | 80 | 0.662941 | #!/usr/bin/env python3
# Copyright 2021 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
"""Utils for accessing Android devices."""
import json
import re
from typing i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 |
20086c74a46b05a7e048f8ea5df75ef9f99dc41f | 6,284 | py | Python | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 18 | 2016-02-24T01:48:41.000Z | 2021-11-05T03:18:24.000Z | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 16 | 2016-08-09T07:06:35.000Z | 2021-12-23T19:38:37.000Z | bin/ambient/profile_from_ctd.py | ChrisBarker-NOAA/tamoc | c797cbb6fee28d788b76d21cc5b0cc0df5444ba8 | [
"MIT"
] | 9 | 2017-03-01T01:22:27.000Z | 2021-09-17T12:13:40.000Z | """
Create a profile from an ASCII CTD datafile
===========================================
Use the TAMOC ambient module to create profiles in netCDF format for use by
TAMOC from data in text files downloaded from a CTD. This file demonstrates
working with the data from the R/V Brooks McCall at Station BM 54 on May ... | 34.152174 | 78 | 0.612826 | """
Create a profile from an ASCII CTD datafile
===========================================
Use the TAMOC ambient module to create profiles in netCDF format for use by
TAMOC from data in text files downloaded from a CTD. This file demonstrates
working with the data from the R/V Brooks McCall at Station BM 54 on May ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 |
6f588d8ab562cb24f33c4c2987df22264aede027 | 2,094 | py | Python | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 522 | 2016-06-08T02:15:50.000Z | 2022-03-02T05:30:36.000Z | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/compiler/tests/nullary_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 108 | 2016-06-16T15:34:05.000Z | 2022-03-12T13:23:11.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 33.774194 | 80 | 0.657116 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 0 | 0 | 939 | 0 | 0 | 0 | 93 | 113 |
812da7a9821d8cafd6fff8c1031df30589c192b0 | 272 | py | Python | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | 03 - Forms and User Input/blog/config.py | alok-sriv/Flask-Blog | 27ac2c63a289ef448ffa9a2321b3c51a3d8c7c64 | [
"MIT"
] | null | null | null | # FileName: Flask-Blog > blog > config.py
| 34 | 107 | 0.705882 | # FileName: Flask-Blog > blog > config.py
import os, secrets
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or secrets.token_urlsafe()
# I prefer the "or" method, as that also works if the environment variable is set to an empty string.
| 0 | 0 | 0 | 183 | 0 | 0 | 0 | -3 | 47 |
53a049eb1d8ddcb78573a7aaa15e0dc599c34ba0 | 1,912 | py | Python | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 193 | 2018-04-04T02:27:51.000Z | 2022-03-14T03:26:44.000Z | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 16 | 2018-04-04T05:58:15.000Z | 2021-01-08T02:56:57.000Z | jike/qr_code.py | waysup/Jike-Metro | b8ead80dddd5d695784c5587edfd8df87c55a4e6 | [
"MIT"
] | 24 | 2018-04-06T09:34:58.000Z | 2021-03-02T02:10:07.000Z | # -*- coding: utf-8 -*-
"""
QR code that be scanned to allow login
"""
| 26.555556 | 118 | 0.651674 | # -*- coding: utf-8 -*-
"""
QR code that be scanned to allow login
"""
import qrcode
import tempfile
import webbrowser
from decimal import Decimal
from qrcode.image.svg import SvgImage
from .constants import JIKE_URI_SCHEME_FMT, RENDER2BROWSER_HTML_TEMPLATE
def make_qrcode(uuid, render_choice='browser'):
qr = q... | 0 | 0 | 0 | 247 | 0 | 1,285 | 0 | 55 | 248 |
f9734951c87899d8c4336cf213bf5f3befa02662 | 142 | py | Python | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null | decorators_nesting/nesting.py | shaunryan/python-decorators | 04f36b25f6e616b01a566b3c4ff42a4b43650e97 | [
"MIT"
] | null | null | null |
# debug(do_twice(greet()))
greet("Eva") | 14.2 | 38 | 0.697183 | from decorators import debug, do_twice
# debug(do_twice(greet()))
@debug
@do_twice
def greet(name):
print(f"Hello {name}")
greet("Eva") | 0 | 39 | 0 | 0 | 0 | 0 | 0 | 17 | 44 |
7d38a049431e1714e2f405a24a19e3ada149bc62 | 14,810 | py | Python | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | 3 | 2020-07-01T08:34:57.000Z | 2021-12-04T04:22:13.000Z | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | 2 | 2019-11-23T20:56:00.000Z | 2020-05-03T23:13:41.000Z | dataset_dstc_clean_asr.py | kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS | 4b70d90683f5489f903e296c3be493294e446cf3 | [
"BSD-3-Clause"
] | null | null | null | import itertools
from functools import reduce
client = None
def cnet_best_n_paths(confusion_network,n,paths):
"""Prints n best paths in list format with each element as a pair of string and log probability.Takes actual probability as input"""
confusion_network=[list(sorted(i,key=lambda x:x[1],reverse=True)) fo... | 55.676692 | 2,270 | 0.605469 | import json
from collections import defaultdict
import numpy as np
from tqdm import tqdm
from stanza.nlp.corenlp import CoreNLPClient
import itertools
from jiwer import wer
from utils import get_cnet_best_pass
import csv
from math import exp
from functools import reduce
import time
client = None
def cnet_best_n_paths(... | 0 | 4,651 | 0 | 8,458 | 0 | 260 | 0 | 17 | 335 |
573d5849a3c8ba9bc16374ca194418c4c903bd84 | 19,822 | py | Python | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | null | null | null | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | 7 | 2020-02-14T18:14:10.000Z | 2020-03-09T23:39:10.000Z | Code/binarytree.py | HexSeal/CS-1.3-Core-Data-Structures | 1b6da3afe89cf68c1ad120617b8e1e80652694b9 | [
"MIT"
] | null | null | null | #!python
if __name__ == '__main__':
test_binary_search_tree()
| 44.245536 | 141 | 0.619463 | #!python
from queue import LinkedQueue
class BinaryTreeNode(object):
def __init__(self, data):
"""Initialize this binary tree node with the given data."""
self.data = data
self.left = None
self.right = None
def __repr__(self):
"""Return a string representation of this ... | 0 | 0 | 0 | 18,572 | 0 | 1,082 | 0 | 8 | 91 |
0aa3d50febd9aa8cd29d83f827149973ff83da6e | 349 | py | Python | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 8 | 2021-05-29T23:30:12.000Z | 2021-09-24T03:25:44.000Z | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | null | null | null | finished/python_principles/01_capital_indexes.py | UltiRequiem/daily-python-practice | 31f72c45378be90b8fcadd30d7042819ee551a17 | [
"MIT"
] | 6 | 2021-06-02T14:20:24.000Z | 2021-08-19T00:49:26.000Z |
if __name__ == "__main__":
tests()
| 26.846154 | 84 | 0.661891 | def capital_indexes(string: str) -> list:
return [index for index, char in enumerate(string) if char.isupper()]
# return [letter for letter in range(len(indexes)) if indexes[letter].isupper()]
def tests() -> None:
print(capital_indexes("mYtESt")) # [1, 3, 4]
print(capital_indexes("owO"))
if __name_... | 0 | 0 | 0 | 0 | 0 | 262 | 0 | 0 | 45 |
0f0307d4db988396f9cfea11798ce2ce8f64aeba | 2,813 | py | Python | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | neurokit2/signal/signal_period.py | vansjyo/NeuroKit | 238cd3d89467f7922c68a3a4c1f44806a8466922 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from .signal_interpolate import signal_interpolate
from .signal_formatpeaks import _signal_formatpeaks_sanitize
def signal_period(peaks, sampling_rate=1000, desired_length=None,
interpolation_order="cubic"):
"""Calculate signal period from a series of ... | 37.506667 | 79 | 0.651262 | # -*- coding: utf-8 -*-
import numpy as np
from .signal_interpolate import signal_interpolate
from .signal_formatpeaks import _signal_formatpeaks_sanitize
def signal_period(peaks, sampling_rate=1000, desired_length=None,
interpolation_order="cubic"):
"""Calculate signal period from a series of ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac01da5aed1a388f449625d499fb1102f61b10d4 | 6,431 | py | Python | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | morgan/settings/base.py | morgan-county/site | 86c0cc9d85fecd62e1d20bd3e841d19165ed3956 | [
"MIT"
] | null | null | null | # Import global settings to make it easier to extend settings.
#============================================================================
# Generic Django project settings
#============================================================================
DEBUG = True
TEMPLATE_DEBUG = DEBUG
SITE_ID = 1
# Local time zon... | 31.52451 | 78 | 0.573472 | # Import global settings to make it easier to extend settings.
from django.conf.global_settings import * # pylint: disable=W0614,W0401
#============================================================================
# Generic Django project settings
#=====================================================================... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 54 |
90be26666e54941741fa17431ea12c308a281654 | 176 | py | Python | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | students/K33401/Nikitin_Michail/lab2/django_project_nikitin/project_first_app/admin.py | mexannik1998/ITMO_ICT_WebDevelopment_2020-2021 | b35f80e8439784e1ab24fbe7db82f30864ba9b69 | [
"MIT"
] | null | null | null | from django.contrib import admin
admin.site.register(Car)
admin.site.register(DriverLicense)
admin.site.register(Driver)
admin.site.register(Ownership)
| 19.555556 | 34 | 0.8125 | from django.contrib import admin
from .models import *
admin.site.register(Car)
admin.site.register(DriverLicense)
admin.site.register(Driver)
admin.site.register(Ownership)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
4914b3ff58f712aa219e34237813c84706a51f0f | 324 | py | Python | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | _themes/conan/__init__.py | MarcoKoch/conan-docs | 72b1fcbee094a33299567b11c0424874e5905aea | [
"MIT"
] | null | null | null | """Sphinx ReadTheDocs theme.
From https://github.com/ryan-roemer/sphinx-bootstrap-theme.
"""
import os
__version__ = '0.2.0'
__version_full__ = __version__
def get_html_theme_path():
"""Return list of HTML theme paths."""
cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
return cur_... | 20.25 | 73 | 0.722222 | """Sphinx ReadTheDocs theme.
From https://github.com/ryan-roemer/sphinx-bootstrap-theme.
"""
import os
__version__ = '0.2.0'
__version_full__ = __version__
def get_html_theme_path():
"""Return list of HTML theme paths."""
cur_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
return cur_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
483523b71a14c73ab3b6ee24a729378037e02225 | 6,289 | py | Python | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 5,098 | 2018-02-09T16:56:49.000Z | 2022-03-31T13:50:40.000Z | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 550 | 2018-02-07T05:30:06.000Z | 2022-03-13T22:00:09.000Z | models/official/detection/modeling/segmentation_model.py | GerinTang/tpu | d6ca25c49b5f7e88fdf7d2623cf6fd8349ddfc3f | [
"Apache-2.0"
] | 1,920 | 2018-02-07T23:44:49.000Z | 2022-03-29T03:11:08.000Z | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 36.563953 | 80 | 0.705677 | # Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 0 | 0 | 0 | 2,672 | 0 | 0 | 0 | 66 | 134 |
3de6097ae14b4d5331accdf470c72be7e4577169 | 26,868 | py | Python | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 8 | 2019-10-24T22:27:10.000Z | 2021-10-07T00:19:52.000Z | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 1 | 2021-03-16T23:20:54.000Z | 2021-05-25T20:43:27.000Z | mf/mf_gp_bandit.py | rajatsen91/MFTreeSearchCV | cf5ef5f537267c1c2c34a4f40042a051aad434f9 | [
"MIT"
] | 1 | 2020-07-21T21:18:58.000Z | 2020-07-21T21:18:58.000Z | """
Implements Multi-fidelity GP Bandit Optimisaiton.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
# Local imports
from mf_func import MFOptFunction
from mf_gp import all_... | 47.893048 | 90 | 0.679582 | """
Implements Multi-fidelity GP Bandit Optimisaiton.
-- kandasamy@cs.cmu.edu
"""
# pylint: disable=import-error
# pylint: disable=no-member
# pylint: disable=invalid-name
# pylint: disable=relative-import
# pylint: disable=super-on-old-class
from argparse import Namespace
from copy import deepcopy
import time
imp... | 0 | 498 | 0 | 20,126 | 0 | 0 | 0 | 134 | 177 |
fa2d11736a48234a5b517a6bde2626fadc7b00b3 | 615 | py | Python | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | tests/db.py | ralphqq/testing-async-db | de02ed891a638f839f063e7401839ee551955d4c | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL
from sqlalchemy.orm import scoped_session, sessionmaker
from settings import DATABASE
TEST_DB = dict(DATABASE)
engine = create_engine(URL(**TEST_DB))
Session = scoped_session(sessionmaker(bind=engine))
def delete_rows(db_engine, base_obj):... | 27.954545 | 63 | 0.744715 | from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL
from sqlalchemy.orm import scoped_session, sessionmaker
from settings import DATABASE
TEST_DB = dict(DATABASE)
engine = create_engine(URL(**TEST_DB))
Session = scoped_session(sessionmaker(bind=engine))
def delete_rows(db_engine, base_obj):... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |