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values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26c8199913901f96201fe9b8091ee36c1351a53e | 347 | py | Python | examples/prompt.py | nelice/bullet | aafec4d0ca8f628d2be9b0667c50477929c2cca7 | [
"MIT"
] | 1 | 2021-03-22T07:55:30.000Z | 2021-03-22T07:55:30.000Z | examples/prompt.py | nelice/bullet | aafec4d0ca8f628d2be9b0667c50477929c2cca7 | [
"MIT"
] | null | null | null | examples/prompt.py | nelice/bullet | aafec4d0ca8f628d2be9b0667c50477929c2cca7 | [
"MIT"
] | null | null | null | from bullet import Bullet, Prompt, Check, Input, YesNo
from bullet import styles
cli = Prompt(
[
Bullet("Choose from a list: ", **styles.Example),
Check("Choose from a list: ", **styles.Example),
Input("Who are you? "),
YesNo("Are you a student? ")
],
spacing = 2
)
result =... | 23.133333 | 57 | 0.599424 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.230548 |
26c8a00c561378714f8ad7990f244b2a1e695121 | 671 | py | Python | testsuite/tests/T618-047__Ada_2012/run_test.py | AdaCore/style_checker | 17108ebfc44375498063ecdad6c6e4430458e60a | [
"CNRI-Python"
] | 2 | 2017-10-22T18:04:26.000Z | 2020-03-06T11:07:41.000Z | testsuite/tests/T618-047__Ada_2012/run_test.py | AdaCore/style_checker | 17108ebfc44375498063ecdad6c6e4430458e60a | [
"CNRI-Python"
] | null | null | null | testsuite/tests/T618-047__Ada_2012/run_test.py | AdaCore/style_checker | 17108ebfc44375498063ecdad6c6e4430458e60a | [
"CNRI-Python"
] | 4 | 2018-05-22T12:08:54.000Z | 2020-12-14T15:25:27.000Z | def test_pck_2012_adb(style_checker):
"""Style check test against pck_2012.adb."""
style_checker.set_year(2006)
p = style_checker.run_style_checker('repo_name', 'pck_2012.ads')
style_checker.assertEqual(p.status, 0, p.image)
style_checker.assertRunOutputEmpty(p)
def test_pck_2012_adb_with_alt_conf... | 41.9375 | 74 | 0.754098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 196 | 0.292101 |
26cacd8b2394e2ededf66d1f7ced4b0560e95348 | 594 | py | Python | src/volume_0/0011_Drawing_Lots.py | DaikiShimada/aoj-exercise | dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803 | [
"MIT"
] | null | null | null | src/volume_0/0011_Drawing_Lots.py | DaikiShimada/aoj-exercise | dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803 | [
"MIT"
] | null | null | null | src/volume_0/0011_Drawing_Lots.py | DaikiShimada/aoj-exercise | dd4b70d4fd64aa28bc4cc75f5cdb8d02ea796803 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
def amida(w, side_bar):
result = []
side_bar.reverse()
for x in range(1, w+1):
status = x
for bar in side_bar:
if status == bar[0]:
status = bar[1]
elif status == bar[1]:
status = bar[0]
resu... | 21.214286 | 73 | 0.503367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.060606 |
26cbd6df4059d6dbdf0c29f052b92ccdc1a7a881 | 1,832 | py | Python | mglg/util/profiler.py | aforren1/mglg | a9b703e109a66377dd404929fc0b13ccc12b5214 | [
"MIT"
] | null | null | null | mglg/util/profiler.py | aforren1/mglg | a9b703e109a66377dd404929fc0b13ccc12b5214 | [
"MIT"
] | 9 | 2019-08-05T21:11:09.000Z | 2021-11-18T18:19:33.000Z | mglg/util/profiler.py | aforren1/mglg | a9b703e109a66377dd404929fc0b13ccc12b5214 | [
"MIT"
] | null | null | null | from timeit import default_timer
import numpy as np
class Profiler:
__slots__ = ('active', 'gpuquery', 't0',
'cpubuffer', 'gpubuffer', 'counter',
'_size', 'worst_cpu', 'worst_gpu')
def __init__(self, gpu=False, ctx=None, buffer_size=200):
self.active = False
... | 31.586207 | 90 | 0.555131 | 1,777 | 0.969978 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.053493 |
26ccd5bc1d5e387e612a0f077f3e861929e6b021 | 2,972 | py | Python | toolbox/exp/Experiment.py | LinXueyuanStdio/KGE-toolbox | 916842835e61ba99dde1409592977a2ec55f8aae | [
"Apache-2.0"
] | 2 | 2021-10-17T17:50:24.000Z | 2021-12-13T05:22:46.000Z | toolbox/exp/Experiment.py | LinXueyuanStdio/KGE-toolbox | 916842835e61ba99dde1409592977a2ec55f8aae | [
"Apache-2.0"
] | null | null | null | toolbox/exp/Experiment.py | LinXueyuanStdio/KGE-toolbox | 916842835e61ba99dde1409592977a2ec55f8aae | [
"Apache-2.0"
] | null | null | null | import numpy as np
from toolbox.exp.OutputSchema import OutputSchema
from toolbox.utils.LaTeXSotre import EvaluateLaTeXStoreSchema
from toolbox.utils.MetricLogStore import MetricLogStoreSchema
from toolbox.utils.ModelParamStore import ModelParamStoreSchema
from toolbox.utils.Visualize import VisualizeSchema
class Ex... | 44.358209 | 89 | 0.685397 | 2,411 | 0.811238 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.045087 |
26cdda5a2dd54f427c59a8a3d865986d8ec6b5ee | 893 | py | Python | src/dataloader/tests/runner.py | ODM2/ODM2DataSharingPortal | 4ea1d633fe8e1cc39916e83041f2dbc830339e55 | [
"BSD-3-Clause"
] | 18 | 2018-11-27T11:57:24.000Z | 2022-03-19T16:52:35.000Z | src/dataloader/tests/runner.py | ODM2/ODM2DataSharingPortal | 4ea1d633fe8e1cc39916e83041f2dbc830339e55 | [
"BSD-3-Clause"
] | 362 | 2018-02-21T16:27:00.000Z | 2022-03-31T18:48:48.000Z | src/dataloader/tests/runner.py | ODM2/ODM2DataSharingPortal | 4ea1d633fe8e1cc39916e83041f2dbc830339e55 | [
"BSD-3-Clause"
] | 5 | 2018-07-04T17:13:09.000Z | 2021-12-19T22:51:40.000Z | import json
import os
from django.core.management import call_command
from django.test.runner import DiscoverRunner
from django.db import connections
from dataloader.tests.data import data_manager
class ODM2TestRunner(DiscoverRunner):
test_connection = None
database_alias = u'odm2'
def setup_test_envir... | 29.766667 | 98 | 0.721165 | 691 | 0.773796 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.045913 |
26cf29a0e44e798901be0b42a84cea83caaf14fe | 364 | py | Python | plugins/rain.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | 2 | 2021-02-16T05:35:41.000Z | 2021-05-25T16:59:47.000Z | plugins/rain.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | null | null | null | plugins/rain.py | xditya/PikaBotPlugins | 2c5c52716158cd8964220bcc71fa383ccaf1210a | [
"Apache-2.0"
] | 2 | 2021-02-07T03:09:40.000Z | 2021-05-25T16:59:59.000Z | #Originally created By KingMars ✅ Rain Sequence 2 {Updated}
from telethon import events
import asyncio
from collections import deque
@ItzSjDude(outgoing=True, pattern=r"km_rain2")
async def _(event):
if event.fwd_from:
return
deq = deque(list("☁️⛈Ř/~\İŇ🌬⚡🌪"))
for _ in range(100):
await asyncio.sleep(0.1)
a... | 22.75 | 59 | 0.717033 | 0 | 0 | 0 | 0 | 245 | 0.639687 | 198 | 0.516971 | 105 | 0.274151 |
26cf746287a13ed33dacec35f0898c4fe183c37a | 73 | py | Python | preprocessing/__init__.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2022-03-09T20:13:57.000Z | 2022-03-09T20:13:57.000Z | preprocessing/__init__.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | 1 | 2021-10-01T16:20:06.000Z | 2021-10-01T17:25:30.000Z | preprocessing/__init__.py | WiktorSa/Music-Generation-with-LSTM-and-.wav-files | 37b713b5e6193788a7710cc0fac4134efb74fa62 | [
"MIT"
] | null | null | null | from preprocessing.generate_and_save_data import generate_and_save_data
| 36.5 | 72 | 0.917808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
26cfb507f5245413925f5d6ffbbfcea4aa484298 | 6,126 | py | Python | plot.py | lizzieayton/PrimordialOozebot | 1e330b1ac6f27bd167734ad6c6ecff70f816986a | [
"MIT"
] | null | null | null | plot.py | lizzieayton/PrimordialOozebot | 1e330b1ac6f27bd167734ad6c6ecff70f816986a | [
"MIT"
] | null | null | null | plot.py | lizzieayton/PrimordialOozebot | 1e330b1ac6f27bd167734ad6c6ecff70f816986a | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import csv
import statistics
import math
plt.title('Population Diversity')
plt.ylabel('Diversity Score')
plt.xlabel('Iteration Number')
random = []
randombars = []
rmin = []
rmax = []
hill = []
hillbars = []
hmin = []
hmax = []
evo = []
emin = []
emax = []
evobars = []
cross = []
cross... | 30.939394 | 90 | 0.623572 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 628 | 0.102514 |
26cfea22c43edc42786c9199d503d77927f66e4d | 1,918 | py | Python | python/obra_hacks/backend/commands.py | brandond/obra-hacks | df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3 | [
"Apache-2.0"
] | null | null | null | python/obra_hacks/backend/commands.py | brandond/obra-hacks | df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3 | [
"Apache-2.0"
] | null | null | null | python/obra_hacks/backend/commands.py | brandond/obra-hacks | df451c6c6cd78b48f6e32bbd102a8e8a6bd77cb3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
from datetime import date
import click
from .data import DISCIPLINE_MAP
from .outputs import OUTPUT_MAP
@click.command()
@click.option('--discipline', type=click.Choice(DISCIPLINE_MAP.keys()), required=True)
@click... | 34.25 | 100 | 0.684567 | 0 | 0 | 0 | 0 | 1,668 | 0.869656 | 0 | 0 | 438 | 0.228363 |
26d2a8925926b05405485ed3b4fa01550942c26f | 657 | py | Python | join_json.py | ryavorsky/med_robo | 56f8d2067921ef7208166380e50af0600c10032a | [
"CC0-1.0"
] | null | null | null | join_json.py | ryavorsky/med_robo | 56f8d2067921ef7208166380e50af0600c10032a | [
"CC0-1.0"
] | null | null | null | join_json.py | ryavorsky/med_robo | 56f8d2067921ef7208166380e50af0600c10032a | [
"CC0-1.0"
] | null | null | null | import json
with open('bibliography.json', 'r', encoding='utf-8') as bib_data:
bib = sorted(json.load(bib_data), key=lambda d: d['ID'])
with open('abstracts.json', 'r', encoding='utf-8') as tex_data:
tex = sorted(json.load(tex_data), key=lambda d: d['ID'])
ID1 = [b['ID'] for b in bib]
ID2 = [t['ID'... | 28.565217 | 82 | 0.614916 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.223744 |
26d58240f4233e1d13f48a78a83f734ca262cc13 | 147 | py | Python | Qcover/simulator/__init__.py | BAQIS-Quantum/Qcover | ca3776ed73fefa0cfef08042143a8cf842f8dad5 | [
"Apache-2.0"
] | 38 | 2021-12-22T03:12:01.000Z | 2022-03-17T06:57:10.000Z | Qcover/simulator/__init__.py | BAQIS-Quantum/Qcover | ca3776ed73fefa0cfef08042143a8cf842f8dad5 | [
"Apache-2.0"
] | null | null | null | Qcover/simulator/__init__.py | BAQIS-Quantum/Qcover | ca3776ed73fefa0cfef08042143a8cf842f8dad5 | [
"Apache-2.0"
] | 13 | 2021-12-22T07:32:44.000Z | 2022-02-28T06:47:41.000Z | from .qton import Qcircuit, Qcodes
import warnings
warnings.filterwarnings("ignore")
__all__ = [
# 'Simulator',
'Qcircuit',
'Qcodes'
] | 16.333333 | 34 | 0.680272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.272109 |
26d8d630adbf36e69e2b1f614c164c0bdbf94301 | 7,563 | py | Python | pizzerias/pizzerias_search.py | LiushaHe0317/pizzerias_block_search | 16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b | [
"MIT"
] | null | null | null | pizzerias/pizzerias_search.py | LiushaHe0317/pizzerias_block_search | 16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b | [
"MIT"
] | null | null | null | pizzerias/pizzerias_search.py | LiushaHe0317/pizzerias_block_search | 16dd7fb20b1a29a4f16b28ac7e5a84b30f7f9a7b | [
"MIT"
] | null | null | null | from typing import Sequence
import numpy
class PizzeriasSearcher:
"""
This object takes the size of the city and number of shops, and construct the matrices each shop delivery can cover
and number of delivery for each cell in the city. It can also computes number of delivery for a given cell,
... | 42.728814 | 123 | 0.627793 | 7,520 | 0.994314 | 0 | 0 | 521 | 0.068888 | 0 | 0 | 3,689 | 0.487769 |
26d8feef12cddd2dca60e0f08ac5f863599108a2 | 1,213 | py | Python | analysis/hist_javelin.py | LiyrAstroph/MICA | 2592b8ad3011880898f557a69b22cad63fcd47e0 | [
"MIT"
] | 1 | 2016-10-25T06:32:33.000Z | 2016-10-25T06:32:33.000Z | analysis/hist_javelin.py | LiyrAstroph/MICA | 2592b8ad3011880898f557a69b22cad63fcd47e0 | [
"MIT"
] | null | null | null | analysis/hist_javelin.py | LiyrAstroph/MICA | 2592b8ad3011880898f557a69b22cad63fcd47e0 | [
"MIT"
] | 3 | 2016-12-29T06:04:13.000Z | 2020-04-12T11:48:42.000Z | import numpy as np
import matplotlib.pyplot as plt
import corner
mcmc = np.loadtxt("mychain1.dat")
ntheta = mcmc.shape[1]
fig = plt.figure(1, figsize=(15, 6))
ax = fig.add_subplot(231)
ax.hist(mcmc[:, 0]/np.log(10.0), 100, normed=True, range=(-0.9, -0.1))
ax = fig.add_subplot(232)
ax.hist(mcmc[:, 1]/np.log(10.0)... | 24.26 | 108 | 0.635614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.026381 |
26da85c2640497939b911d5705595d7671906491 | 1,158 | py | Python | tests/test_stats.py | janjaappape/pastas | 521b27efd921e240df0717038f8389d62099b8ff | [
"MIT"
] | 252 | 2017-01-25T05:48:53.000Z | 2022-03-31T17:46:37.000Z | tests/test_stats.py | janjaappape/pastas | 521b27efd921e240df0717038f8389d62099b8ff | [
"MIT"
] | 279 | 2017-02-14T10:59:01.000Z | 2022-03-31T09:17:37.000Z | tests/test_stats.py | janjaappape/pastas | 521b27efd921e240df0717038f8389d62099b8ff | [
"MIT"
] | 57 | 2017-02-14T10:26:54.000Z | 2022-03-11T14:04:48.000Z | import numpy as np
import pandas as pd
import pastas as ps
def acf_func(**kwargs):
index = pd.to_datetime(np.arange(0, 100, 1), unit="D", origin="2000")
data = np.sin(np.linspace(0, 10 * np.pi, 100))
r = pd.Series(data=data, index=index)
acf_true = np.cos(np.linspace(0.0, np.pi, 11))[1:]
acf = ps... | 27.571429 | 79 | 0.638169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.159758 |
26db23f57ee2cf9c420d9e5404d2b60d7671991a | 320 | py | Python | venv/lib64/python3.8/site-packages/tld/registry.py | nrfkhira/dnx-engine | 99a326d83058bcfe54a0f455672d90637fe753c6 | [
"MIT"
] | null | null | null | venv/lib64/python3.8/site-packages/tld/registry.py | nrfkhira/dnx-engine | 99a326d83058bcfe54a0f455672d90637fe753c6 | [
"MIT"
] | null | null | null | venv/lib64/python3.8/site-packages/tld/registry.py | nrfkhira/dnx-engine | 99a326d83058bcfe54a0f455672d90637fe753c6 | [
"MIT"
] | null | null | null | import warnings
from .base import Registry
__author__ = "Artur Barseghyan"
__copyright__ = "2013-2021 Artur Barseghyan"
__license__ = "MPL-1.1 OR GPL-2.0-only OR LGPL-2.1-or-later"
__all__ = ("Registry",)
warnings.warn(
"The `Registry` class is moved from `tld.registry` to `tld.base`.",
DeprecationWarning,
)
| 24.615385 | 71 | 0.721875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 168 | 0.525 |
26dc6cf0e3afad0c2ebf41ec4b792f1e330897c5 | 2,963 | py | Python | hvo_api/model/gps.py | wtollett-usgs/hvo_api | cdd39cb74d28a931cac4b843a71c5d8435f4620c | [
"CC0-1.0"
] | null | null | null | hvo_api/model/gps.py | wtollett-usgs/hvo_api | cdd39cb74d28a931cac4b843a71c5d8435f4620c | [
"CC0-1.0"
] | null | null | null | hvo_api/model/gps.py | wtollett-usgs/hvo_api | cdd39cb74d28a931cac4b843a71c5d8435f4620c | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
from valverest.database import db7 as db
from sqlalchemy.ext.hybrid import hybrid_property
class Solution(db.Model):
__tablename__ = 'solutions'
__bind_key__ = 'gps'
sid = db.Column(db.Integer, primary_key=True)
cid = db.Column(db.Integer, primary_key=True)
x = db.Column(d... | 22.44697 | 79 | 0.59838 | 2,833 | 0.956126 | 0 | 0 | 702 | 0.236922 | 0 | 0 | 203 | 0.068512 |
26ddb52d2be72d7d4dbeca2609c7ac5ce525625e | 2,091 | py | Python | SingleIRdetection/get_data.py | biqute/QTLab2122 | 4d53d4c660bb5931615d8652e698f6d689a4dead | [
"MIT"
] | 3 | 2021-11-30T18:41:11.000Z | 2021-12-12T12:27:14.000Z | SingleIRdetection/get_data.py | biqute/QTLab2122 | 4d53d4c660bb5931615d8652e698f6d689a4dead | [
"MIT"
] | null | null | null | SingleIRdetection/get_data.py | biqute/QTLab2122 | 4d53d4c660bb5931615d8652e698f6d689a4dead | [
"MIT"
] | null | null | null | from instruments import VNA_handler, Fridge_handler
import os
import time
from datetime import date, datetime
today = date.today()
d1 = today.strftime("_%d_%m")
directory = "data"+d1
dir_path=os.path.join(os.path.dirname(os.path.abspath(__file__)),directory)
if not os.path.isdir(dir_path):
try:
os.mkdir(di... | 27.155844 | 169 | 0.595887 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 444 | 0.212339 |
26ddc48f78a12f6195556b4fffb431166aa3a248 | 1,356 | py | Python | repos.py | gigamonkey/git-utils | ac26ccab836b276fb7061167b4b2dc2a6bd87e66 | [
"BSD-3-Clause"
] | null | null | null | repos.py | gigamonkey/git-utils | ac26ccab836b276fb7061167b4b2dc2a6bd87e66 | [
"BSD-3-Clause"
] | 1 | 2021-05-04T19:45:16.000Z | 2021-05-04T19:45:16.000Z | repos.py | gigamonkey/git-utils | ac26ccab836b276fb7061167b4b2dc2a6bd87e66 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
Get a json dump of all the repos belonging to a GitHub org or user.
"""
import json
import os
import sys
from functools import reduce
import requests
url = "https://api.github.com/graphql"
token = os.environ["GITHUB_TOKEN"]
headers = {"Authorization": "bearer {}".format(token)}
FIELDS =... | 22.229508 | 153 | 0.597345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 533 | 0.393068 |
26de76c7a526dbcb257d0562f65b8f5f56302812 | 994 | py | Python | tfLego/logger/BasicLogger.py | FrancescoSaverioZuppichini/tfLego | 485653eff6d3b8c6677b600a4e0d3623c844749f | [
"MIT"
] | null | null | null | tfLego/logger/BasicLogger.py | FrancescoSaverioZuppichini/tfLego | 485653eff6d3b8c6677b600a4e0d3623c844749f | [
"MIT"
] | null | null | null | tfLego/logger/BasicLogger.py | FrancescoSaverioZuppichini/tfLego | 485653eff6d3b8c6677b600a4e0d3623c844749f | [
"MIT"
] | null | null | null | class BasicLogger:
def __init__(self):
self.loss_history = []
self.accuracy_history = []
self.val_loss_history = []
self.val_accuracy_history = []
self.initialise()
def initialise(self):
self.total_loss = 0
self.total_accuracy = 0
self.curren... | 23.116279 | 86 | 0.585513 | 991 | 0.996982 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.046278 |
26def15c65ab2e4480b9091dca33bf04179a4722 | 3,705 | py | Python | test_package/conanfile.py | sintef-ocean/conan-casadi | 70a14829ca3b3ec4cdff8b254e3c060b345c1e79 | [
"MIT"
] | null | null | null | test_package/conanfile.py | sintef-ocean/conan-casadi | 70a14829ca3b3ec4cdff8b254e3c060b345c1e79 | [
"MIT"
] | null | null | null | test_package/conanfile.py | sintef-ocean/conan-casadi | 70a14829ca3b3ec4cdff8b254e3c060b345c1e79 | [
"MIT"
] | null | null | null | from conans import ConanFile, CMake, tools, RunEnvironment
class CasadiTestConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
generators = ("cmake_paths", "cmake", "virtualrunenv", "virtualenv")
_cmake = None
def _configure_cmake(self):
if self._cmake is None:
se... | 42.102273 | 88 | 0.612146 | 3,643 | 0.983266 | 0 | 0 | 0 | 0 | 0 | 0 | 1,164 | 0.31417 |
26e0374db2378f11fc9bfc31927fa2a8ccdcf58c | 1,995 | py | Python | src/blog/templatetags/timediffer.py | codewithrakib/first-django-blog | 339f5833025b0758f391c7c8e0979ca2eefd1b52 | [
"MIT"
] | null | null | null | src/blog/templatetags/timediffer.py | codewithrakib/first-django-blog | 339f5833025b0758f391c7c8e0979ca2eefd1b52 | [
"MIT"
] | 7 | 2021-03-19T02:00:00.000Z | 2022-02-10T10:26:38.000Z | src/blog/templatetags/timediffer.py | codewithrakib/first-django-blog | 339f5833025b0758f391c7c8e0979ca2eefd1b52 | [
"MIT"
] | null | null | null | from django import template
from datetime import datetime
from datetime import date
from datetime import time
from datetime import timedelta
register = template.Library()
@register.filter
def timediffer(now, posttime):
posttime = posttime.replace(tzinfo=None)
timedif= now -posttime
timestr=""
if timed... | 30.227273 | 56 | 0.578947 | 0 | 0 | 0 | 0 | 1,822 | 0.913283 | 0 | 0 | 400 | 0.200501 |
26e08af32bb2b5d0bbed9fd354924f064bde0ecf | 254 | py | Python | ma.py | AmandaKhol/DLT-Blockchain | ee464b0d7b55bffe791eb0b814513620430bfa1c | [
"MIT"
] | 1 | 2021-04-05T18:59:04.000Z | 2021-04-05T18:59:04.000Z | ma.py | AmandaKhol/DLT-Blockchain | ee464b0d7b55bffe791eb0b814513620430bfa1c | [
"MIT"
] | null | null | null | ma.py | AmandaKhol/DLT-Blockchain | ee464b0d7b55bffe791eb0b814513620430bfa1c | [
"MIT"
] | null | null | null | """
title : ma.py
description : Marshmallow object
author : Amanda Garcia-Garcia
version : 0
usage : python server_api.py
python_version : 3.6.1
"""
from flask_marshmallow import Marshmallow
ma = Marshmallow() | 19.538462 | 41 | 0.629921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.751969 |
26e3cb56bf5c43ffe1ebc53ce33bf565445ae974 | 6,107 | py | Python | FGMabiotic.py | tjscott214/long-term-conflict-with-1nFGM | 1c701e83c71ebe21fbc1192ca3d523a000614819 | [
"MIT"
] | 2 | 2019-09-13T13:46:33.000Z | 2020-05-14T17:21:09.000Z | FGMabiotic.py | tjscott214/long-term-conflict-with-1nFGM | 1c701e83c71ebe21fbc1192ca3d523a000614819 | [
"MIT"
] | null | null | null | FGMabiotic.py | tjscott214/long-term-conflict-with-1nFGM | 1c701e83c71ebe21fbc1192ca3d523a000614819 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
### This program simulates Fisher's geometric model with abiotic change equal to fixations during conflict simulations (from FGMconflict.py) ###
### python3 FGMabiotic.py -help for input options ###
### Written by Trey J Scott 2018 ###
### python --version ###
### Python 3.5.2 :: Anaconda 4.2.0 (... | 34.117318 | 192 | 0.7159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,913 | 0.313247 |
26e5678c410804c82e1a66c1a1c30cc2e8b118d5 | 873 | py | Python | epdif.py | cvasqxz/rpi-epd | b7921190dd84b1187364902f0e3059cba5a1973f | [
"MIT"
] | null | null | null | epdif.py | cvasqxz/rpi-epd | b7921190dd84b1187364902f0e3059cba5a1973f | [
"MIT"
] | null | null | null | epdif.py | cvasqxz/rpi-epd | b7921190dd84b1187364902f0e3059cba5a1973f | [
"MIT"
] | null | null | null | import spidev
import RPi.GPIO as GPIO
import time
import yaml
with open("config.yml", 'r') as f:
cfg = yaml.load(f, Loader=yaml.FullLoader)
# Pin definition
RST_PIN = cfg['pinout']['RST_PIN']
DC_PIN = cfg['pinout']['DC_PIN']
CS_PIN = cfg['pinout']['CS_PIN']
BUSY_PIN = cfg['pinout']['BUSY_PIN']
# SPI device, bus... | 21.292683 | 46 | 0.683849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 131 | 0.150057 |
26e616bae86ed51b35013c799f67005f184552f2 | 2,469 | py | Python | main.py | amankumarjsr/BinanceDataScrapper | e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14 | [
"Apache-2.0"
] | null | null | null | main.py | amankumarjsr/BinanceDataScrapper | e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14 | [
"Apache-2.0"
] | null | null | null | main.py | amankumarjsr/BinanceDataScrapper | e3d56c4bd274a8e472de1fbe1c9603c9e94e1d14 | [
"Apache-2.0"
] | null | null | null | from datetime import date
from unicodedata import name
from urllib import request
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
import datetime
import os
import zipfile
import glob
CoinName= input('Enter the coin name: ').upper()
duration= input('Enter the duration of data you w... | 34.291667 | 177 | 0.681247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,011 | 0.409478 |
26e61f306df9220c42f34738c067514777287317 | 19,370 | py | Python | api/api.py | geoai-lab/GeoAnnotator | 6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3 | [
"MIT"
] | 1 | 2022-02-14T20:43:41.000Z | 2022-02-14T20:43:41.000Z | api/api.py | geoai-lab/GeoAnnotator | 6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3 | [
"MIT"
] | null | null | null | api/api.py | geoai-lab/GeoAnnotator | 6d5ee22888571f5ffefdb1d2f2455eaa9e5054f3 | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, request, session,redirect, url_for
import bcrypt
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql import func
from sqlalchemy.exc import IntegrityError
import os
from sqlalchemy.orm import load_only
from flask_bcrypt import Bcrypt
import urllib.parse
from itertools import g... | 40.10352 | 257 | 0.663087 | 0 | 0 | 0 | 0 | 17,008 | 0.878014 | 0 | 0 | 9,652 | 0.498271 |
26e97e5ea8220154eb41374939938275b9e537b0 | 741 | py | Python | AppPython/app/core/src/forms.py | denalme/AplicacionPython | eb99af3c21f003135192ad040a0a04a40b63ea70 | [
"MIT"
] | null | null | null | AppPython/app/core/src/forms.py | denalme/AplicacionPython | eb99af3c21f003135192ad040a0a04a40b63ea70 | [
"MIT"
] | null | null | null | AppPython/app/core/src/forms.py | denalme/AplicacionPython | eb99af3c21f003135192ad040a0a04a40b63ea70 | [
"MIT"
] | null | null | null | from django import forms
from .pqrsf import pqrsf
class ContactForm(forms.Form):
#Atributos del formulario de contacto
usuario = forms.CharField(label="Nombre", required=True, widget=forms.TextInput(attrs={'class':'formulario input', 'placeholder':'Nombre'}))
correo = forms.EmailField(label="Correo Electr... | 74.1 | 167 | 0.747638 | 691 | 0.930013 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.378197 |
26ec29318bc12813be99da269d94707649d0104c | 3,244 | py | Python | prisma/generated/models.py | mao-shonen/prisma-client-py-tortoise-orm | e26d8451ea0775bd7ddfec42f663510434537a77 | [
"MIT"
] | null | null | null | prisma/generated/models.py | mao-shonen/prisma-client-py-tortoise-orm | e26d8451ea0775bd7ddfec42f663510434537a77 | [
"MIT"
] | null | null | null | prisma/generated/models.py | mao-shonen/prisma-client-py-tortoise-orm | e26d8451ea0775bd7ddfec42f663510434537a77 | [
"MIT"
] | null | null | null | __doc__ = '''
This file is generated by the `prisma-client-py-tortoise-orm (0.2.2)`,
Please do not modify directly.
repository: https://github.com/mao-shonen/prisma-client-py-tortoise-orm
'''
import typing
from enum import Enum
from tortoise import fields
from tortoise.models import Model
from prisma import base as b... | 30.317757 | 203 | 0.633785 | 2,941 | 0.886645 | 0 | 0 | 0 | 0 | 0 | 0 | 1,379 | 0.415737 |
26ed69ff9590d721e4368e521015afe41d5f9df5 | 2,536 | py | Python | samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py | vgvoleg/gst-video-analytics | 7e4006551f38334bc59b2ef3d205273d07d40ce4 | [
"MIT"
] | null | null | null | samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py | vgvoleg/gst-video-analytics | 7e4006551f38334bc59b2ef3d205273d07d40ce4 | [
"MIT"
] | null | null | null | samples/people_on_stairs/classify_overspeeding/classify_overspeeding.py | vgvoleg/gst-video-analytics | 7e4006551f38334bc59b2ef3d205273d07d40ce4 | [
"MIT"
] | 1 | 2020-05-14T15:30:03.000Z | 2020-05-14T15:30:03.000Z | from os.path import join, realpath
from os import listdir, environ
import shlex
import subprocess
import pickle
import json
import pickle as pkl
import time
import numpy as np
from copy import copy
MODEL_PATH = ("/root/Projects/models/intel/person-detection-retail-0013/FP32"
"/person-detection-retail-0... | 32.101266 | 89 | 0.615536 | 801 | 0.315852 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.285883 |
26f0496f5cee5563d72ece3864af6c3cc42f430c | 2,883 | py | Python | indicators/migrations/0035_make_indicators_programs_foreignkey.py | mercycorps/TolaWorkflow | 59542132fafd611081adb0e8cfaa04abc5886d7a | [
"Apache-2.0"
] | null | null | null | indicators/migrations/0035_make_indicators_programs_foreignkey.py | mercycorps/TolaWorkflow | 59542132fafd611081adb0e8cfaa04abc5886d7a | [
"Apache-2.0"
] | 268 | 2020-03-31T15:46:59.000Z | 2022-03-31T18:01:08.000Z | indicators/migrations/0035_make_indicators_programs_foreignkey.py | Falliatcom-sa/falliatcom | 39fb926de072c296ed32d50cccfb8003ca870739 | [
"Apache-2.0"
] | 1 | 2021-01-05T01:58:24.000Z | 2021-01-05T01:58:24.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2018-11-06 08:34
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
def set_temp_program_id(apps, schema_editor):
Indicator = apps.get_model('indicators', 'Indicator')
for indicator in Indic... | 36.493671 | 105 | 0.622962 | 1,776 | 0.616025 | 0 | 0 | 0 | 0 | 0 | 0 | 651 | 0.225806 |
26f1b913f1ee12f1e92139c51f5d8c9e44276d06 | 4,335 | py | Python | pymockserver/client.py | MXWest/py-mockserver | cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc | [
"MIT"
] | 3 | 2018-06-14T19:44:05.000Z | 2020-12-14T04:33:21.000Z | pymockserver/client.py | MXWest/py-mockserver | cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc | [
"MIT"
] | 4 | 2020-02-01T16:20:18.000Z | 2021-03-23T14:43:54.000Z | pymockserver/client.py | MXWest/py-mockserver | cd0783aac2e5c1b8a021c29a4c70ef5414b7f7cc | [
"MIT"
] | 2 | 2020-02-01T16:25:50.000Z | 2021-03-23T13:06:25.000Z | import requests
import json
from urllib3.exceptions import HTTPError
class Client(object):
"""Client to connect to the mockserver"""
def __init__(self, host='localhost', port=1080):
"""
Class initialization
:param str host: host of the mockserver
:param int port: port of th... | 29.290541 | 90 | 0.514418 | 4,262 | 0.98316 | 0 | 0 | 0 | 0 | 0 | 0 | 1,624 | 0.374625 |
26f481dfc45ad24d352172f8f79006991163fc28 | 5,277 | py | Python | workflow/executors/validation_tasks.py | mettadatalabs1/oncoscape-datapipeline | 9c3209ba88831c3f1c598182c719ce45b4724fff | [
"Apache-2.0"
] | null | null | null | workflow/executors/validation_tasks.py | mettadatalabs1/oncoscape-datapipeline | 9c3209ba88831c3f1c598182c719ce45b4724fff | [
"Apache-2.0"
] | null | null | null | workflow/executors/validation_tasks.py | mettadatalabs1/oncoscape-datapipeline | 9c3209ba88831c3f1c598182c719ce45b4724fff | [
"Apache-2.0"
] | null | null | null | from validators.validation_configurator import ValidationConfigurator
from pipeline.models import InputFile
class HugoValidator(object):
# hugo_genes_map (Dictionary): a dictionary that has the hugo genes and
# respective aliases. Each entry is db:{gene: Set(aliases),}.
# This is created the first time th... | 49.783019 | 83 | 0.617965 | 2,438 | 0.462005 | 0 | 0 | 1,863 | 0.353042 | 0 | 0 | 2,287 | 0.43339 |
26f602e46a5eecf3c443505b6bc8ba0c321a760e | 1,290 | py | Python | pytglib/api/types/input_message_video_note.py | iTeam-co/pytglib | e5e75e0a85f89b77762209b32a61b0a883c0ae61 | [
"MIT"
] | 6 | 2019-10-30T08:57:27.000Z | 2021-02-08T14:17:43.000Z | pytglib/api/types/input_message_video_note.py | iTeam-co/python-telegram | e5e75e0a85f89b77762209b32a61b0a883c0ae61 | [
"MIT"
] | 1 | 2021-08-19T05:44:10.000Z | 2021-08-19T07:14:56.000Z | pytglib/api/types/input_message_video_note.py | iTeam-co/python-telegram | e5e75e0a85f89b77762209b32a61b0a883c0ae61 | [
"MIT"
] | 5 | 2019-12-04T05:30:39.000Z | 2021-05-21T18:23:32.000Z |
from ..utils import Object
class InputMessageVideoNote(Object):
"""
A video note message
Attributes:
ID (:obj:`str`): ``InputMessageVideoNote``
Args:
video_note (:class:`telegram.api.types.InputFile`):
Video note to be sent
thumbnail (:class:`telegram.api.type... | 28.666667 | 77 | 0.615504 | 1,258 | 0.975194 | 0 | 0 | 324 | 0.251163 | 0 | 0 | 714 | 0.553488 |
26f6c233aae91fb0635319c24ac7a5452088a65f | 520 | py | Python | gdc_readgroups/exceptions.py | NCI-GDC/gdc-readgroups | 874387bb3473b0a0680551339e50b072cc058eb6 | [
"Apache-2.0"
] | null | null | null | gdc_readgroups/exceptions.py | NCI-GDC/gdc-readgroups | 874387bb3473b0a0680551339e50b072cc058eb6 | [
"Apache-2.0"
] | null | null | null | gdc_readgroups/exceptions.py | NCI-GDC/gdc-readgroups | 874387bb3473b0a0680551339e50b072cc058eb6 | [
"Apache-2.0"
] | 1 | 2020-01-23T22:07:10.000Z | 2020-01-23T22:07:10.000Z | """
Exceptions for Read Group headers
"""
class NoReadGroupError(Exception):
"""NoReadGroupError"""
class SamtoolsViewError(Exception):
"""SamtoolsViewError"""
class InvalidPlatformError(Exception):
"""InvalidPlatformError"""
class InvalidPlatformModelError(Exception):
"""InvalidPlatformError"""
cl... | 20.8 | 43 | 0.746154 | 464 | 0.892308 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.405769 |
26f984eeef056e7ffe65f198d0e3689278e5fc57 | 2,098 | py | Python | aiida_logger/calculations/test_calculations.py | SINTEF/aiida-logger | d97aced2ec8967cb359f488d2218cc3b47c92f6b | [
"MIT"
] | null | null | null | aiida_logger/calculations/test_calculations.py | SINTEF/aiida-logger | d97aced2ec8967cb359f488d2218cc3b47c92f6b | [
"MIT"
] | null | null | null | aiida_logger/calculations/test_calculations.py | SINTEF/aiida-logger | d97aced2ec8967cb359f488d2218cc3b47c92f6b | [
"MIT"
] | null | null | null | """
Tests for calculations.
"""
from __future__ import print_function
from __future__ import absolute_import
import os
import numpy as np
def test_process(logger_code):
"""
Test running a calculation.
Also checks its outputs.
"""
from aiida.plugins import DataFactory, CalculationFactory
fr... | 29.138889 | 84 | 0.594376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 0.302669 |
26fb61ab1de0e800a79d50ca5f9597cf8788e433 | 2,155 | py | Python | db_sheet/sheet_table.py | chowmean/DBSheet | 3f1c521320cb3564c4ff55cd70c8a1978dd32a4c | [
"Apache-2.0"
] | 3 | 2017-08-18T20:04:12.000Z | 2021-01-08T12:23:43.000Z | db_sheet/sheet_table.py | chowmean/DBSheet | 3f1c521320cb3564c4ff55cd70c8a1978dd32a4c | [
"Apache-2.0"
] | 1 | 2021-06-01T23:13:57.000Z | 2021-06-01T23:13:57.000Z | db_sheet/sheet_table.py | chowmean/DBSheet | 3f1c521320cb3564c4ff55cd70c8a1978dd32a4c | [
"Apache-2.0"
] | null | null | null | class Table:
def __init__(self, columns, name):
self.columns = columns
self.name = name
class CreateTable:
def __init__(self, table_obj, sheet_obj):
self.table = table_obj
self.sheet = sheet_obj
def create_table(self):
cols = len(self.table.columns)
name = ... | 28.733333 | 61 | 0.570766 | 2,149 | 0.997216 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.027378 |
26fd4d122991c7a14eaad9bffe766e315791616a | 90 | py | Python | root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py | ChyiYaqing/chyidlTutorial | 77e7f6f84f21537a58a8a8a42e31cf2e3dd31996 | [
"MIT"
] | 5 | 2018-10-17T05:57:39.000Z | 2021-07-05T15:38:24.000Z | root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py | ChyiYaqing/chyidlTutorial | 77e7f6f84f21537a58a8a8a42e31cf2e3dd31996 | [
"MIT"
] | 2 | 2021-04-14T00:48:43.000Z | 2021-04-14T02:20:50.000Z | root/ilikeit/MySQLCrashCourse/dbcom/tests/__init__.py | ChyiYaqing/chyidlTutorial | 77e7f6f84f21537a58a8a8a42e31cf2e3dd31996 | [
"MIT"
] | 3 | 2019-03-02T14:36:19.000Z | 2022-03-18T10:12:09.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""Requests test package initialisation.""" | 22.5 | 43 | 0.655556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.966667 |
26fdabbca3431190e788d02f52c14a320298b8ac | 9,425 | py | Python | discopy/components/sense/explicit/bert_conn_sense.py | rknaebel/discopy | 5507d656987af2df9e595434a82c0a12bbc713e4 | [
"MIT"
] | 14 | 2019-04-14T16:10:23.000Z | 2022-03-09T14:56:10.000Z | discopy/components/sense/explicit/bert_conn_sense.py | rknaebel/discopy | 5507d656987af2df9e595434a82c0a12bbc713e4 | [
"MIT"
] | 15 | 2019-04-15T16:44:40.000Z | 2021-11-23T17:36:41.000Z | discopy/components/sense/explicit/bert_conn_sense.py | rknaebel/discopy | 5507d656987af2df9e595434a82c0a12bbc713e4 | [
"MIT"
] | 1 | 2020-02-28T23:36:35.000Z | 2020-02-28T23:36:35.000Z | import json
import logging
import os
from typing import List, Dict
import click
import numpy as np
import tensorflow as tf
from sklearn.metrics import cohen_kappa_score, precision_recall_fscore_support, accuracy_score
from tqdm import tqdm
from discopy.components.component import Component
from discopy.components.con... | 44.042056 | 119 | 0.634589 | 4,954 | 0.525623 | 0 | 0 | 1,240 | 0.131565 | 0 | 0 | 794 | 0.084244 |
f80409abd20022882a95d524c2584bb72123403a | 533 | py | Python | Perfect Squares.py | ngdeva99/Fulcrum | 3a5c69005bbaf2a5aebe13d1907f13790210fb32 | [
"MIT"
] | null | null | null | Perfect Squares.py | ngdeva99/Fulcrum | 3a5c69005bbaf2a5aebe13d1907f13790210fb32 | [
"MIT"
] | null | null | null | Perfect Squares.py | ngdeva99/Fulcrum | 3a5c69005bbaf2a5aebe13d1907f13790210fb32 | [
"MIT"
] | null | null | null | class Solution:
def numSquares(self, n: int) -> int:
if n==0:
return 0
dp = [float('inf')]*(n+1)
dp[0] = 0
c = n
n = int(sqrt(n))
a = [i**2 for i in range(1,n+1)]
for i in range(1,len(dp)):
for j in a:
... | 22.208333 | 48 | 0.320826 | 523 | 0.981238 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.018762 |
f8053be6ee69e87199ea558062ed1fe681dca092 | 361 | py | Python | busshaming/models/agency.py | katharosada/busshaming | c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9 | [
"MIT"
] | 42 | 2018-01-20T01:12:25.000Z | 2022-02-02T01:40:17.000Z | busshaming/models/agency.py | katharosada/busshaming | c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9 | [
"MIT"
] | 2 | 2018-01-24T03:58:17.000Z | 2018-06-10T01:05:57.000Z | busshaming/models/agency.py | katharosada/busshaming | c8d7cd4baf9ff049cda49c92da4d5ca10f68e6a9 | [
"MIT"
] | 7 | 2018-01-24T05:49:13.000Z | 2018-12-03T08:47:43.000Z | from django.db import models
class Agency(models.Model):
gtfs_agency_id = models.CharField(max_length=200)
feed = models.ForeignKey('Feed')
name = models.CharField(max_length=200)
class Meta:
unique_together = ('gtfs_agency_id', 'feed')
def __str__(self):
return f'{self.feed.slug... | 25.785714 | 72 | 0.67867 | 329 | 0.911357 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.235457 |
f805d1c83458a20d7c8be553923b41b8d8630a7f | 328 | py | Python | sqltask/base/dq.py | mjalo/sqltask | f6eefd624614a464ae5697ac61405416244518e2 | [
"MIT"
] | 10 | 2019-10-09T15:34:13.000Z | 2022-02-21T07:44:03.000Z | sqltask/base/dq.py | mjalo/sqltask | f6eefd624614a464ae5697ac61405416244518e2 | [
"MIT"
] | 23 | 2019-10-09T15:20:01.000Z | 2020-02-08T11:51:24.000Z | sqltask/base/dq.py | mjalo/sqltask | f6eefd624614a464ae5697ac61405416244518e2 | [
"MIT"
] | 4 | 2019-10-09T15:20:51.000Z | 2020-02-11T08:43:03.000Z | from enum import Enum
class Priority(Enum):
MANDATORY = "mandatory"
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
class Source(Enum):
SOURCE = "source"
TRANSFORM = "transform"
LOOKUP = "lookup"
class Category(Enum):
MISSING = "missing"
INCORRECT = "incorrect"
DUPLICATE = "dup... | 15.619048 | 27 | 0.618902 | 297 | 0.905488 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.268293 |
f80628afca18060801db523544822b454ace8ecb | 2,386 | py | Python | main.py | deadpoool69/MediCare | eb45149dd14dc3792ef3ea724c61d46a29718068 | [
"MIT"
] | null | null | null | main.py | deadpoool69/MediCare | eb45149dd14dc3792ef3ea724c61d46a29718068 | [
"MIT"
] | null | null | null | main.py | deadpoool69/MediCare | eb45149dd14dc3792ef3ea724c61d46a29718068 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, url_for, redirect
from forms import *
from model import generate_recommendations, get_desc
import os
app = Flask(__name__)
SECRET_KEY = os.urandom(32)
app.config['SECRET_KEY'] = SECRET_KEY
@app.route('/', methods=["GET", "POST"])
def landing():
title = 'Neurolens... | 38.483871 | 102 | 0.670159 | 0 | 0 | 0 | 0 | 2,069 | 0.867142 | 0 | 0 | 480 | 0.201174 |
f8065cbbdc71ae71f6d602d2671a71b28b0eea4a | 2,057 | py | Python | tools/draw_comparison_head_design_choices.py | twangnh/Calibration_mrcnn | e5f3076cefbe35297a403a753bb57e11503db818 | [
"Apache-2.0"
] | 87 | 2020-07-24T01:28:39.000Z | 2021-08-29T08:40:18.000Z | tools/draw_comparison_head_design_choices.py | twangnh/Calibration_mrcnn | e5f3076cefbe35297a403a753bb57e11503db818 | [
"Apache-2.0"
] | 3 | 2020-09-27T12:59:28.000Z | 2022-01-06T13:14:08.000Z | tools/draw_comparison_head_design_choices.py | twangnh/Calibration_mrcnn | e5f3076cefbe35297a403a753bb57e11503db818 | [
"Apache-2.0"
] | 20 | 2020-09-05T04:37:19.000Z | 2021-12-13T02:25:48.000Z | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
labels = ['AP on bin (0,10)', 'AP on bin (10,100)']
baseline = [0.0, 13.3]
fc2_ncm = [6.0, 18.9]
fc2 = [8.6, 22.0]
fc3_rand = [9.1, 18.8]
fc3_ft = [13.2, 23.1]
x = np.arange(len(labels)) # the label locations
width = 0.15 # the width of the bars
... | 31.166667 | 96 | 0.6456 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 741 | 0.360233 |
f807e6a714508c55a5204cce88f3927910a26a1e | 9,916 | py | Python | src/entry.py | akilmarshall/vash-2 | 5307bc414afba24b235ae0ae9b2583c33ea69b1f | [
"MIT"
] | null | null | null | src/entry.py | akilmarshall/vash-2 | 5307bc414afba24b235ae0ae9b2583c33ea69b1f | [
"MIT"
] | null | null | null | src/entry.py | akilmarshall/vash-2 | 5307bc414afba24b235ae0ae9b2583c33ea69b1f | [
"MIT"
] | null | null | null | from datetime import datetime
from itertools import count
from tkinter import *
import tkinter.ttk as ttk
from functools import partial
from tkcalendar import DateEntry
from case import COD, CONTRIES, Case, INCIDENT, ORGANIZATION, POLICESTATION, STATES
from db import referred_other_agency
from preview import CasePrev... | 38.583658 | 93 | 0.588846 | 9,479 | 0.95593 | 0 | 0 | 0 | 0 | 0 | 0 | 903 | 0.091065 |
f8082f1e3f5f385cac811686714cd680277f4584 | 7,406 | py | Python | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 8 | 2020-10-27T02:11:53.000Z | 2022-03-02T11:00:10.000Z | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 2 | 2021-01-25T19:59:39.000Z | 2021-12-07T09:29:01.000Z | repro_eval/__main__.py | irgroup/repro_eval | 35a4cf083dbb5f4b29d6ef602a604f0686a537c9 | [
"MIT"
] | 1 | 2021-04-16T16:21:16.000Z | 2021-04-16T16:21:16.000Z | """
Use repro_eval from the command line with e.g.
python -m repro_eval -t rpd -q qrel_orig -r orig_b rpd_b
python -m repro_eval -t rpd -q qrel_orig -r orig_b orig_a rpd_b rpd_a
python -m repro_eval -t rpd -m rmse -q qrel_orig -r orig_b rpd_b
python -m repro_eval -t rpl -q qrel_orig qrel_rpl -r orig_b rpl_b
python... | 43.309942 | 109 | 0.498785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,967 | 0.265595 |
f809139d6c632c257d27b2da4aee81ff3ca5dcc2 | 2,377 | py | Python | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | main.py | juligreen/towerdefense-prototype | 1cdac58acf697ca856a60dec6533caed17acf656 | [
"MIT"
] | null | null | null | import math
from game_objects import Turret, Troop
players = []
class Location:
def __init__(self, x: int, y: int):
self.x = x
self.y = y
class Lane:
# for this prototype we are going to imagine our lanes as straight lines
def __init__(self, left_start_location: Location, right_start_l... | 30.088608 | 94 | 0.636096 | 1,401 | 0.589398 | 0 | 0 | 0 | 0 | 0 | 0 | 316 | 0.132941 |
f8094b25e0893a5bce69fe2d108d090003595a0e | 7,110 | py | Python | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | null | null | null | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | null | null | null | bib_processing.py | GAIGResearch/GAIGResearch.github.io | 90d0555348ad8f3f500b6480168ad65fa0226dce | [
"MIT"
] | 2 | 2019-07-09T11:08:15.000Z | 2020-12-04T14:55:00.000Z | import os
from pathlib import Path
from difflib import SequenceMatcher
supported_bibtex_types = {"article", "book", "booklet", "inbook", "incollection", "inproceedings", "manual",
"mastersthesis", "misc", "phdthesis", "proceedings", "techreport", "unpublished"}
supported_fields = ["author",... | 33.696682 | 119 | 0.568636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,093 | 0.294374 |
f80a066211d5845a2d19529db9ed13271bcad6dc | 2,105 | py | Python | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | browser.py | 7Cortez7/instagram-giveaway-bot | 43246e3ded06ea3a6cbf2ef20164b229fe90ee0e | [
"MIT"
] | null | null | null | from selenium import webdriver
import time
import userdata as udata
import random
randomUsers = set()
class Browser:
def __init__(self, link):
self.link = link
self.browser = webdriver.Chrome()
Browser.Instagram(self)
Browser.Login(self)
Browser.goFollowers(s... | 31.893939 | 121 | 0.59715 | 1,979 | 0.937027 | 0 | 0 | 0 | 0 | 0 | 0 | 434 | 0.205492 |
f80b2ee49671a1d6b544de429dd777345fa6df27 | 246 | py | Python | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | 8 | 2020-08-03T01:53:13.000Z | 2022-01-09T14:47:58.000Z | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | null | null | null | HackerRank/PythonHackerRankSolutions/Numpy/LinearAlgebra.py | accidentalgenius09/competitive-programming-solution | 210746a7928dcd601ad9a735de52cf7135851070 | [
"MIT"
] | 4 | 2020-09-29T11:28:53.000Z | 2021-06-02T15:34:55.000Z | '''
Title : Linear Algebra
Subdomain : Numpy
Domain : Python
Author : codeperfectplus
Created : 10 May 2020
'''
import numpy
n=int(input())
a=numpy.array([input().split() for _ in range(n)],float)
print(round(numpy.linalg.det(a),2))
| 18.923077 | 56 | 0.670732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.5 |
f80c608952146d7fe3d7ed75d5f4bc0dc27ba8ce | 774 | py | Python | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 1,063 | 2020-04-21T12:42:05.000Z | 2022-03-31T06:32:50.000Z | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 39 | 2020-05-07T07:24:19.000Z | 2022-02-02T23:49:23.000Z | pyretri/index/dim_processor/dim_processors_impl/l2_normalize.py | dongan-beta/PyRetri | 8756d5d5813a5211b58855373b6c6cd33d7a11f6 | [
"Apache-2.0"
] | 174 | 2020-04-26T04:33:11.000Z | 2022-03-17T02:58:45.000Z | # -*- coding: utf-8 -*-
import numpy as np
from ..dim_processors_base import DimProcessorBase
from ...registry import DIMPROCESSORS
from sklearn.preprocessing import normalize
from typing import Dict, List
@DIMPROCESSORS.register
class L2Normalize(DimProcessorBase):
"""
L2 normalize the features.
"""
... | 27.642857 | 75 | 0.666667 | 539 | 0.696382 | 0 | 0 | 563 | 0.72739 | 0 | 0 | 246 | 0.317829 |
f80ccbd3e3b59f33892aafb3cc6b1f95f360dd40 | 1,631 | py | Python | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | 2 | 2019-08-13T21:50:32.000Z | 2019-08-14T00:49:29.000Z | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | null | null | null | test_csv_write.py | wandyrandy/Groupme-Group-Stats-Report | 25a59b715a7555540695639de81db390f09eb122 | [
"MIT"
] | null | null | null | import csv
import person
from random import randrange
headers = ['Name', 'Messages', 'Char Count', 'Likes Given', 'Likes Received', 'Image URL']
#tester code
people = ['bob', 'joe', 'gmo']
bob = person.Person(111, 'bob', 'www.bob.com', people)
joe = person.Person(222, 'joe', 'www.joe.com', people)
gmo = p... | 31.980392 | 91 | 0.676272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.177805 |
f80e19316ce840fcc2138b746a64f522d8f4566b | 866 | py | Python | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/wqFull/G200/testAll.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | 2 | 2021-04-04T02:45:59.000Z | 2022-03-19T09:41:39.000Z |
import pandas as pd
from hydroDL.data import usgs, gageII, gridMET, ntn, GLASS, transform, dbBasin
import numpy as np
import matplotlib.pyplot as plt
from hydroDL.post import axplot, figplot
from hydroDL import kPath, utils
import json
import os
import importlib
from hydroDL.master import basinFull
from hydroDL.app.wa... | 29.862069 | 78 | 0.706697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.205543 |
f80f8be872541cb1fed210e79dd3fff53a87f8a4 | 9,733 | py | Python | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | null | null | null | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | 2 | 2017-07-21T22:10:19.000Z | 2018-07-14T21:39:07.000Z | tests/test_Dirichlet_NL_Poisson.py | bond-anton/BDPoisson1D | 538cedc187ce83e90f340cc085738671d325d2e1 | [
"Apache-2.0"
] | null | null | null | import math as m
import numpy as np
from BDMesh import Mesh1DUniform
from BDFunction1D import Function
from BDFunction1D.Functional import Functional
from BDFunction1D.Interpolation import InterpolateFunction
from BDPoisson1D.DirichletNonLinear import dirichlet_non_linear_poisson_solver_arrays
from BDPoisson1D.Dirich... | 44.646789 | 111 | 0.552348 | 8,976 | 0.922223 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.001644 |
f810064772dd89a3265f0776de267483682a707d | 23,282 | py | Python | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 14 | 2020-04-20T15:38:52.000Z | 2022-02-07T11:45:23.000Z | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 74 | 2020-03-02T23:34:53.000Z | 2022-03-21T18:32:10.000Z | trtools/dumpSTR/tests/test_dumpSTR.py | Kulivox/TRTools | ea05f9126f5145405cced8fd85821ce929657b3a | [
"MIT"
] | 15 | 2018-10-29T19:41:33.000Z | 2020-02-21T18:41:51.000Z | import argparse
import gzip
import os
import pytest
from ..dumpSTR import *
from trtools.testsupport.utils import assert_same_vcf, assert_same_file
# Set up base argparser
@pytest.fixture
def args(tmpdir):
args = argparse.ArgumentParser()
args.vcf = None
args.vcftype = "auto"
args.out = str(tmpdir /... | 34.038012 | 129 | 0.683489 | 0 | 0 | 0 | 0 | 1,725 | 0.074092 | 0 | 0 | 5,921 | 0.254317 |
f81030a9747b6fbce3be0c3890586bc3da2d99c2 | 27,895 | py | Python | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/network/ldapdns.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2012 Andrew Bogott for the Wikimedia Foundation'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy ... | 12.044473 | 174 | 0.578276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14,016 | 0.502456 |
f81075d9a768c275f1cbe075abbbe7e3dce2e3c6 | 2,554 | py | Python | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | src/weekly_contest_251/1946_largest-number-after-mutating-substring.py | dongminlee94/leetcode-practice | 4d33816d66df8ab447087a04b76008f6bec51f23 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
1946. Largest Number After Mutating Substring
https://leetcode.com/problems/largest-number-after-mutating-substring/
Example 1:
Input: num = "132", change = [9,8,5,0,3,6,4,2,6,8]
Output: "832"
Explanation: Replace the substring "1":
- 1 maps to change[1] = 8.
Thus, "132" becomes "832".
"8... | 30.047059 | 98 | 0.523101 | 1,694 | 0.663273 | 0 | 0 | 0 | 0 | 0 | 0 | 1,002 | 0.392326 |
f810c90f204568fd67dca941d0e6266424f5517d | 261 | py | Python | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | null | null | null | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | 1 | 2020-03-04T04:39:20.000Z | 2020-03-04T04:39:20.000Z | test/unit/bot/test_bot.py | kubicki14/BurtTheCardKing | d0854ea08ffdffee687830097b0645069e263d9d | [
"MIT"
] | null | null | null | import pytest
from bot.bot import Bot
class TestBotClass:
# Can't instantiate abstract classes. skipping test for abstract class.
def setup(self):
self.bot = 1
def test_init(self):
test_bot = 1
assert test_bot == self.bot
| 20.076923 | 75 | 0.659004 | 220 | 0.842912 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.272031 |
f8125fde876b086f96371a2951d0cf190eba3f48 | 1,437 | py | Python | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Hackerrank/30DaysOfCode/Day9-Recursion3.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | """
Hackerrank
Day 9: Recursion 3
https://www.hackerrank.com/challenges/30-recursion/problem?h_r=email&unlock_token=bc6d5f3963afb26ed0b2f69c3f4f3ddb1826e1b2&utm_campaign=30_days_of_code_continuous&utm_medium=email&utm_source=daily_reminder
Objective
Today, we are learning about an algorithmic concept called recursion.... | 22.809524 | 205 | 0.76618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,148 | 0.798887 |
f8126dd049c2dae8dffb8bb81f37f683297e9ca7 | 408 | py | Python | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | 1 | 2019-12-19T19:04:02.000Z | 2019-12-19T19:04:02.000Z | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | 5 | 2020-02-12T02:57:13.000Z | 2021-12-13T20:02:16.000Z | todolist/main/models.py | gda2048/TODOlist | cc6c359ab0a8d2f43ed82b19dfc0eb5d640f8b9f | [
"MIT"
] | null | null | null | from django.db import models
class Card(models.Model):
"""
Stores all information about the TODOlist item
"""
id = models.AutoField(primary_key=True)
name = models.CharField('Название', max_length=50)
description = models.TextField('Описание', max_length=500)
is_archived = models.BooleanFi... | 29.142857 | 68 | 0.70098 | 405 | 0.928899 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.284404 |
f812c1ff23e3b82b8ed9c4bca10c6b857649c53a | 2,358 | py | Python | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | src/qbrobot/util/log.py | jucuguru/crypto-robot-basic | 3addaaff9fb2f41d8e9dcd66bae7ae7f75216704 | [
"BSD-2-Clause"
] | null | null | null | import logging
from qbrobot import qsettings
try :
from util import send_dingding
except ImportError:
DINGDING_CANUSE = False
else:
DINGDING_CANUSE = True
"""
class DingDingLogger
pass all args to logger.method, and call dingding.send_msg()
1. debug message don't send to dingding.
2.... | 25.912088 | 116 | 0.651399 | 909 | 0.385496 | 0 | 0 | 0 | 0 | 0 | 0 | 830 | 0.351993 |
f81309425c4d43dc4fcef12218a6de6d14c72768 | 722 | py | Python | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Country cleaning/Chile/PRT/OfflineRB.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | # %%
import os
import pandas as pd
import numpy as np
import datetime
# %% CARGA DE DATOS
path = r'F:\Trabajo\Promotive\Chile\PRT\7\CSV\3'
os.chdir(path)
files = os.listdir(path)
files
# %%
files_xls = [f for f in files if f[-3:] == 'csv']
files_xls
# %%
columnas = ['PPU', 'MARCA', 'MODELO', 'ANO_FABRICACION', 'NU... | 17.609756 | 90 | 0.65651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 0.339335 |
f815471c4b7feac192ccd8f44032afcd4c9605be | 3,850 | py | Python | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 13 | 2020-10-09T07:15:02.000Z | 2022-03-28T20:51:30.000Z | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 2 | 2021-03-03T15:04:51.000Z | 2021-06-02T03:42:03.000Z | datasets/lfw_crop.py | laoreja/face-identity-transformer | 5569d93017ad9371deae7e2b35564523c64b501e | [
"BSD-3-Clause"
] | 5 | 2021-03-02T11:44:19.000Z | 2021-07-09T16:42:02.000Z | import os.path as osp
import numpy as np
from PIL import Image
import torch.utils.data as data
import torch
__all__ = ['LFW_CROP']
EXTENSION_FACTOR = 2
class LFW_CROP(data.Dataset):
def __init__(self, train, transform, args):
self.root = osp.join(args.data_root, 'lfw')
self.transform = transfor... | 37.745098 | 114 | 0.540779 | 3,692 | 0.958961 | 0 | 0 | 0 | 0 | 0 | 0 | 222 | 0.057662 |
f816945723bd501f06ebbe8199fa11cd256a3a52 | 1,065 | py | Python | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | 1 | 2021-07-29T17:39:34.000Z | 2021-07-29T17:39:34.000Z | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | null | null | null | test.py | JFF-Bohdan/pyimei | d881f4a11374d29828867e2de397d1fcc8413d25 | [
"MIT"
] | 3 | 2018-08-07T08:01:01.000Z | 2020-03-24T17:14:31.000Z | from pyimei import ImeiSupport
def checkImeisArray(imeis):
for imei in imeis:
if ImeiSupport.isValid(imei):
print("IMEI: '{}' is valid".format(imei))
else:
print("IMEI '{}' is NOT valid".format(imei))
#testing classes
ImeiSupport.test()
valid_imeis = [
356... | 23.152174 | 73 | 0.66385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.219718 |
f816d939ecc6c4f196c356dcf81afa3b4caf0b94 | 2,175 | py | Python | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | aioauth/responses.py | grmnz/aioauth | e69c989bc81284d60798599816c39ff91074a24b | [
"MIT"
] | null | null | null | """
.. code-block:: python
from aioauth import responses
Response objects used throughout the project.
----
"""
from dataclasses import dataclass, field
from http import HTTPStatus
from typing import Dict
from .collections import HTTPHeaderDict
from .constances import default_headers
from .types import ErrorTyp... | 20.518868 | 111 | 0.722299 | 1,730 | 0.795402 | 0 | 0 | 1,818 | 0.835862 | 0 | 0 | 1,078 | 0.495632 |
f818d292ca6f1460d6aa1027f16f35e13ba6829c | 5,441 | py | Python | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | fipomdp/experiments/NYC_experiment.py | xbrlej/FiPOMDP | b7a97aaaf43a43e5ee9b8776c0e7f6d0bb09392f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import logging
import platform
import time
from functools import partial
from statistics import stdev
from typing import List, Tuple, Dict, Union, Any
import psutil
from joblib import Parallel, delayed
from fimdp.objectives import BUCHI
from fipomdp import ConsPOMDP
from fipomdp.energy_solvers ... | 33.58642 | 147 | 0.695093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,432 | 0.263187 |
f818e9acfc35ef6a4d51efdba0e1aa6dcf47703d | 399 | py | Python | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | 1 | 2018-01-19T12:05:32.000Z | 2018-01-19T12:05:32.000Z | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | null | null | null | examples/connect_to_wifi.py | flaiming/TechFurMeet-Micropython | 00ff427429dfc186e33aa5e77bafe39eb820b854 | [
"MIT"
] | null | null | null | import network
import time
# deactivate AP
ap = network.WLAN(network.AP_IF)
ap.active(False)
# activate static network
wlan = network.WLAN(network.STA_IF)
wlan.active(True)
# connect to local WIFI
wlan.connect('TFM-Attendees')
# wait until connected
while not wlan.isconnected():
print('connecting...')
time.... | 19 | 49 | 0.736842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.380952 |
f8197ad55d7f3b5e1e727b66b9aaef3047efa623 | 3,317 | py | Python | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 44 | 2019-03-07T00:25:44.000Z | 2022-02-20T15:57:11.000Z | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 25 | 2019-02-17T13:37:27.000Z | 2022-03-22T16:11:46.000Z | hikcamerabot/services/tasks/video.py | CamVipQ/hikvision-camera-bot | 84afa0a4dc2fc1ebda71b5020520dc1c300cf3b2 | [
"MIT"
] | 14 | 2019-06-28T05:40:10.000Z | 2022-03-24T08:05:01.000Z | import asyncio
import logging
import os
import time
from addict import Addict
from aiogram.types import Message
from hikcamerabot.config.config import get_result_queue
from hikcamerabot.constants import Event, VideoGifType
from hikcamerabot.utils.utils import format_ts, gen_random_str
class RecordVideoTask:
_vi... | 35.666667 | 88 | 0.621948 | 3,026 | 0.91227 | 0 | 0 | 0 | 0 | 1,857 | 0.559843 | 482 | 0.145312 |
f81adf96e79c10244b5314e809ea884419299412 | 71,349 | py | Python | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | HyperOXO/hypercube.py | drtjc/Hyper | 83579186d915de603d27b8757dfc5a0f82c6770e | [
"MIT"
] | null | null | null | """ Provides functionalilty for working with celled hypercubes.
Hypercubes are extensions of lines, squares and cubes into higher
dimensions. Celled hypercubes can be thought as a grid or lattice
structure. From this point, hypercubes is used to mean celled
hypercubes.
A hypercube can be described by its dimension a... | 30.374202 | 116 | 0.510575 | 0 | 0 | 17,170 | 0.240624 | 0 | 0 | 0 | 0 | 57,395 | 0.804347 |
f81ca2ce592e84428e81a66ce38e515a6ee5edcf | 42 | py | Python | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 20 | 2017-08-05T08:44:51.000Z | 2022-03-24T15:33:48.000Z | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 117 | 2016-10-26T15:31:48.000Z | 2022-02-16T23:06:33.000Z | firecloud/__about__.py | jnktsj/fiss | 2cfce1f6dc0c43f62c51e8a9296946b9990a76fa | [
"BSD-3-Clause"
] | 21 | 2017-03-13T15:16:03.000Z | 2022-02-25T19:14:36.000Z | # Package version
__version__ = "0.16.31"
| 14 | 23 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.619048 |
f81ce517b53ccd795c4a506f2213bfeafa42c8e0 | 255 | py | Python | django_selectel_storage/exceptions.py | Stuvros/django-selectel-storage | 076f7e3c58d9391e2e7e27feb0526736d101c2b5 | [
"MIT"
] | 27 | 2015-01-28T09:17:09.000Z | 2021-06-21T20:48:01.000Z | django_selectel_storage/exceptions.py | Stuvros/django-selectel-storage | 076f7e3c58d9391e2e7e27feb0526736d101c2b5 | [
"MIT"
] | 9 | 2015-08-07T15:03:00.000Z | 2020-05-01T04:54:02.000Z | django_selectel_storage/exceptions.py | Stuvros/django-selectel-storage | 076f7e3c58d9391e2e7e27feb0526736d101c2b5 | [
"MIT"
] | 19 | 2015-05-20T14:16:25.000Z | 2022-03-31T06:31:59.000Z | class SelectelException(ValueError):
pass
class InvalidSchema(SelectelException):
pass
class EmptyUsername(SelectelException):
pass
class EmptyPassword(SelectelException):
pass
class EmptyContainerName(SelectelException):
pass
| 13.421053 | 44 | 0.772549 | 242 | 0.94902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f81e6f765fb2c951a1b3a358bc3ab07fe69f4752 | 11,140 | py | Python | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | IMSY-DKFZ/simpa | b8bddcf43a4bff2564f0ec208dc511b82e49bfb4 | [
"MIT"
] | 3 | 2022-03-14T15:40:09.000Z | 2022-03-20T02:34:25.000Z | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | jgroehl/simpa | e56f0802e5a8555ee8bb139dd4f776025e7e9267 | [
"MIT"
] | 3 | 2022-03-18T07:19:12.000Z | 2022-03-30T12:15:19.000Z | simpa_tests/manual_tests/acoustic_forward_models/KWaveAcousticForwardConvenienceFunction.py | IMSY-DKFZ/simpa | b8bddcf43a4bff2564f0ec208dc511b82e49bfb4 | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Division of Intelligent Medical Systems, DKFZ
# SPDX-FileCopyrightText: 2021 Janek Groehl
# SPDX-License-Identifier: MIT
from simpa.core.device_digital_twins import SlitIlluminationGeometry, LinearArrayDetectionGeometry, PhotoacousticDevice
from simpa import perform_k_wave_acoustic_forw... | 48.859649 | 119 | 0.668223 | 10,019 | 0.899372 | 0 | 0 | 0 | 0 | 0 | 0 | 1,589 | 0.142639 |
f81ea939afded2dfd41116deec7708196341c5d1 | 10,881 | py | Python | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 1 | 2020-12-17T15:33:01.000Z | 2020-12-17T15:33:01.000Z | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 26 | 2021-01-08T08:32:23.000Z | 2022-03-29T10:01:40.000Z | oc_ocdm/counter_handler/filesystem_counter_handler.py | arcangelo7/oc_ocdm | 128d062ce9d858024aafd26d7d238c7a26cc8914 | [
"0BSD"
] | 3 | 2021-04-16T08:44:44.000Z | 2022-02-15T11:09:22.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (c) 2016, Silvio Peroni <essepuntato@gmail.com>
#
# Permission to use, copy, modify, and/or distribute this software for any purpose
# with or without fee is hereby granted, provided that the above copyright notice
# and this permission notice appear in all copies.
... | 42.503906 | 111 | 0.637074 | 9,776 | 0.898447 | 0 | 0 | 815 | 0.074901 | 0 | 0 | 2,015 | 0.185185 |
f81fb7d0b255f47fb45c7a694f335756c5c2bb24 | 3,823 | py | Python | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | backend_app/serializers.py | ilveroluca/backend | 91b80b154c4e1e45587797cc41bf2b2b75c23e68 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from backend_app import models
class AllowedPropertySerializer(serializers.ModelSerializer):
class Meta:
model = models.AllowedProperty
fields = '__all__'
# exclude = ['id']
class DatasetSerializer(serializers.ModelSerializer):
class Meta:
... | 27.905109 | 96 | 0.698666 | 3,667 | 0.959194 | 0 | 0 | 0 | 0 | 0 | 0 | 593 | 0.155114 |
f820475f96913877c23f5aa594fcc87cf676cc00 | 1,296 | py | Python | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | src/api_status_monitor/consumer/database_connection.py | jjaakola/bang-a-gong | d30f889c18eeaff3d62d47cd02e93516e4d24dd7 | [
"MIT"
] | null | null | null | """The database connection manager.
"""
import logging
import psycopg2
class DatabaseConnection():
"""Database connection manager.
"""
def __init__(self, host, port, user, dbname, password, sslmode):
self._conn = None
self._host = host
self._port = port
self._user = user
... | 31.609756 | 86 | 0.500772 | 1,221 | 0.94213 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.127315 |
f8207cbc88a40509eaabe2f12c2e9fb96d02736a | 1,154 | py | Python | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 73 | 2015-01-08T19:58:36.000Z | 2022-01-25T20:44:07.000Z | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 34 | 2015-01-08T19:52:34.000Z | 2022-03-15T08:36:30.000Z | app/cvp.py | ekiminatorn/murmur-rest | 594060264cd6ea594d5c07f40163782946f48eb2 | [
"Unlicense",
"MIT"
] | 33 | 2015-01-08T19:22:40.000Z | 2022-01-19T06:28:37.000Z | """
cvp.py
Functions for generating CVP feeds.
:copyright: (C) 2014 by github.com/alfg.
:license: MIT, see README for more details.
"""
def cvp_player_to_dict(player):
"""
Convert a player object from a Tree to a CVP-compliant dict.
"""
return {
"session": player.session,
"userid": ... | 26.837209 | 78 | 0.604853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 467 | 0.404679 |
f82135374f4390dc528fb4356d78faff21f4ca0a | 5,951 | py | Python | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | VincentWei/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | 6 | 2017-05-31T01:46:45.000Z | 2018-06-12T10:53:30.000Z | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | FMSoftCN/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | null | null | null | Tools/Tools/Scripts/webkitpy/layout_tests/port/base_unittest.py | FMSoftCN/mdolphin-core | 48ffdcf587a48a7bb4345ae469a45c5b64ffad0e | [
"Apache-2.0"
] | 2 | 2017-07-17T06:02:42.000Z | 2018-09-19T10:08:38.000Z | # Copyright (C) 2010 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... | 46.858268 | 175 | 0.682406 | 4,263 | 0.71635 | 0 | 0 | 0 | 0 | 0 | 0 | 3,075 | 0.51672 |
f8237a8940cd62de0269063bae0eb6296bc0aa2a | 2,796 | py | Python | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | data/classifier/general_test.py | alexv1/tensorflow_learn | ae936ffdc211a11403d6a06401a2115334b46402 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from skimage import transform
import tensorflow as tf
import numpy as np
import glob
import face_recognition as FR
import os
import shutil
def read_one_image(image_file, width, height):
# img = io.imread(image_file)
img = FR.load_image_file(image_file)
img = transform.resize(img,(wi... | 27.96 | 87 | 0.672031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 441 | 0.152174 |
f8238013e026edf0a1b82a52242ee8f202d32c83 | 693 | py | Python | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | null | null | null | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | null | null | null | func.py | CrownCrafter/School | 488810b223ad746d7d1b396e609ce8f90f25662c | [
"MIT"
] | 1 | 2021-02-06T04:28:17.000Z | 2021-02-06T04:28:17.000Z | def cyl(h, r):
area_cyl = 2 * 3.14 * r * h
return(area_cyl)
def con(r, l):
area_con = 3.14 * r * l
return(area_con)
def final_price(cost):
tax = 0.18 * cost
re_price = cost + tax
return(re_price)
print("Enter Values of cylindrical part of tent ")
h = float(input("Height : "))
r = float(inpu... | 28.875 | 53 | 0.658009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 181 | 0.261183 |
f823c6094a403ab6a62faccb2e76b2e2b2d997a0 | 1,282 | py | Python | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | pymoku/plotly_support.py | manekawije/Liquid | 284991ceca70ec3fcd0cca7e19f4100463600a6c | [
"MIT"
] | null | null | null | # Plotly integration for the Moku:Lab Datalogger
# Copyright 2016 Liquid Instruments Pty. Ltd.
from pymoku import InvalidOperationException
def stream_init(moku, uname, api_key, str_id1, str_id2, npoints=100, mode='lines', line={}):
line = ';'.join([ '='.join(i) for i in list(line.items())])
settings = [
('plo... | 26.163265 | 92 | 0.705148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.230109 |
f8277c470e26c658915e5f878e41e448502ec2a5 | 1,126 | py | Python | test_publisher.py | cpgillem/markdown_publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | null | null | null | test_publisher.py | cpgillem/markdown_publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | 3 | 2015-04-11T08:16:56.000Z | 2015-04-11T08:17:32.000Z | test_publisher.py | cpgillem/markdown-publisher | a8e6bacea95196b9a18ad8fa2f85822c5d9c4e74 | [
"MIT"
] | null | null | null | import publisher
test_pdf_filename = "test/test.pdf"
test_css_filename = "test/test.css"
test_md_filename = "test/test.md"
test_html_filename = "test/test.html"
test_sender = "cpg@yakko.cs.wmich.edu"
test_recipient = "cpgillem@gmail.com"
test_md = "# Test heading\n\n- test item 1\n- test item 2"
def from_html_file()... | 32.171429 | 87 | 0.781528 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.173179 |
f82900deb38425b32b0150ae828a4448ba15499c | 24 | py | Python | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | 2 | 2021-11-16T12:52:58.000Z | 2021-12-13T04:00:39.000Z | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | null | null | null | src/train/__init__.py | gracengu/multinomial_classification | 2346533415aff151d1774d36405360ca236cee3f | [
"MIT"
] | null | null | null | from .train import Train | 24 | 24 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f82c17e0d48a8946b94491663089d67afc63ece3 | 1,185 | py | Python | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 5 | 2015-07-21T15:58:31.000Z | 2019-09-14T22:34:00.000Z | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 197 | 2015-03-24T15:26:04.000Z | 2017-11-28T19:24:37.000Z | tracpro/msgs/migrations/0005_inboxmessage.py | rapidpro/tracpro | a68a782a7ff9bb0ccee85368132d8847c280fea3 | [
"BSD-3-Clause"
] | 10 | 2015-03-24T12:26:36.000Z | 2017-02-21T13:08:57.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('orgs', '0013_auto_20150715_1831'),
('contacts', '0004_auto_20150324_1024'),
('msgs', '0004_message_pollrun'),
]
oper... | 38.225806 | 118 | 0.599156 | 1,076 | 0.908017 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.25654 |
f82d5b036daead0dff75c2761e785f8a14568edb | 191 | py | Python | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | null | null | null | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | null | null | null | src/Models/__init__.py | shulip/ShoppingMallSystem | 01e5a04a8353ca319ed2dc002fc358f6e44c33dd | [
"MIT"
] | 1 | 2021-04-22T15:14:21.000Z | 2021-04-22T15:14:21.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from .Contract import *
from .Receivable import *
from .Receipt import *
from .Shop import *
from .Statement import *
from .Application import * | 21.222222 | 26 | 0.701571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.230366 |
f82d7cf376b5b98be3742039b95afbfff6e6b1f8 | 1,630 | py | Python | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | 2 | 2017-09-02T09:00:24.000Z | 2017-09-08T07:18:38.000Z | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | null | null | null | description tm.py | jfoerderer/lda-topic-modeling | 998701f87df3a3d034d9208ff60266dcd6dc2b59 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import csv
from stop_words import get_stop_words
from nltk.stem.porter import PorterStemmer
from gensim import corpora
import gensim
import os
import re
from nltk.tokenize import RegexpTokenizer
#SET PATH
path = r''
inputname=""
def remove_html_tags(text):
"""Remove html tags from a s... | 26.721311 | 99 | 0.628834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.072393 |
f82ef0c0ee2c3fc021e7566fc3d68636a538299f | 596 | py | Python | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | 7 | 2015-05-18T13:00:54.000Z | 2018-08-06T08:27:57.000Z | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | null | null | null | scripts/load_sample_data.py | thobbs/logsandra | a17abc995dcb0573f3db2f714c1b47d3aff8b20a | [
"MIT"
] | 4 | 2015-06-16T11:09:53.000Z | 2020-04-27T19:25:57.000Z | #!/usr/bin/env python
import sys
import os
sys.path.append(os.path.join(os.path.dirname('__file__'), '..', 'src'))
from random import randint
from datetime import datetime, timedelta
from logsandra.model.client import CassandraClient
client = CassandraClient('test', 'localhost', 9160, 3)
keywords = ['foo', 'bar', ... | 28.380952 | 76 | 0.697987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.239933 |
f830e618925548200af372e7691ce927a36784c1 | 867 | py | Python | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 1 | 2015-11-25T19:03:58.000Z | 2015-11-25T19:03:58.000Z | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 2 | 2015-11-24T14:45:44.000Z | 2015-11-26T15:28:30.000Z | registry/setup.py | fjrmoreews/bioshadock_client | 26a1de6e130689b6385144253525c861d2a2199d | [
"Apache-2.0"
] | 1 | 2015-11-27T10:57:15.000Z | 2015-11-27T10:57:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
# name of the lib
name='bioshadock_biotools',
# version
version='1.0.1',
packages=find_packages(),
author="Francois Moreews",
description="Import tool for biotools from Dockerfile",
i... | 18.847826 | 59 | 0.575548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 461 | 0.531719 |
f831926e75acbe42ce6d5e5261d3946d9b9dfea1 | 1,176 | py | Python | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | 3 | 2020-01-09T02:57:30.000Z | 2020-07-17T15:56:50.000Z | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | null | null | null | _example/xor_embedded/make.py | backwardn/go-tflite | 30f5e2a268d2eb053f758636609c5c379a3016b5 | [
"MIT"
] | null | null | null | import numpy as np
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import RMSprop
from tensorflow.lite.python import lite
X_train = np.array([[0.0, 0.0],
[1.0, 0.0],
[0.0, 1.0],
[1.0, ... | 30.947368 | 75 | 0.662415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.126701 |
f835c7244c8f288b00b860e6cef6f64c28c3ea69 | 473 | py | Python | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | app/sso/user/models.py | ChristianKreuzberger/django-oauth-sso | b019e2e8232ae141b50b8270e79e0617e24f54bb | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.translation import ugettext_lazy as _
class User(AbstractUser):
"""
Extends the basic django user model with a longer first and last name
"""
first_name = models.CharField(
_("first name"),
... | 21.5 | 73 | 0.649049 | 332 | 0.701903 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.22833 |
f837af8b513ac4ce60f3ce335c72f8849a0bd813 | 1,710 | py | Python | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | src/fusanet_utils/features/base.py | fusa-project/fusa-net-utils | b8740c67c0c789889b7abce477c894d77c70a20c | [
"MIT"
] | null | null | null | import logging
from abc import ABC, abstractmethod
from os.path import isfile, splitext
import pathlib
import torch
from .waveform import get_waveform
logger = logging.getLogger(__name__)
class Feature(ABC):
def __init__(self, params):
self.params = params
super().__init__()
@abstr... | 35.625 | 83 | 0.657895 | 1,516 | 0.88655 | 0 | 0 | 75 | 0.04386 | 0 | 0 | 112 | 0.065497 |
f837f76576c4f735618a20e51681085aeb556de5 | 251 | py | Python | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | 3 | 2020-02-21T01:16:26.000Z | 2020-07-12T08:06:11.000Z | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | 6 | 2020-02-11T23:27:43.000Z | 2022-03-11T23:34:39.000Z | led/hhh/rta2.py | tushar-tdm/osvi | 813499162b7f487ccafa8c08d3e5bf6d05b074de | [
"CC-BY-3.0"
] | null | null | null | import os
import sys
import serial
import time
import struct
ser = serial.Serial('/dev/ttyACM0',9600)
led = sys.argv[1]
act = sys.argv[2]
l = str(led)
"""a = str(act)"""
time.sleep(5)
ser.write(struct.pack(l.encode())
""" ser.write(l.encode()) """
| 14.764706 | 40 | 0.661355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.243028 |
f838fea76677e89d488005a23aab7f853eac184d | 11,397 | py | Python | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | app.py | KendraObika/Froggit | 3734d74de6b7febabb6c1645b61e42928203cf63 | [
"MIT"
] | null | null | null | """
Primary module for Froggit
This module contains the main controller class for the Froggit application. There
is no need for any additional classes in this module. If you need more classes, 99%
of the time they belong in either the lanes module or the models module. If you are
unsure about where a new class should... | 41.443636 | 87 | 0.668246 | 10,737 | 0.94209 | 0 | 0 | 0 | 0 | 0 | 0 | 7,690 | 0.674739 |
f83913edc4b000ba4986205d63145c52269b4655 | 1,252 | py | Python | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | 2 | 2017-10-08T19:02:01.000Z | 2020-05-16T21:55:18.000Z | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | null | null | null | utils.py | rsoorajs/deecubes-telegram-bot | 223710eb117c1333fefcff22bcf473e89e41c769 | [
"MIT"
] | 3 | 2018-08-05T18:36:58.000Z | 2020-05-16T21:55:19.000Z | import logging
from functools import wraps
from PIL import Image, ImageFont, ImageDraw
from config import LIST_ALLOWED_USERS
def restricted(func):
@wraps(func)
def wrapped(_, bot, update, *args, **kwargs):
user_id = update.effective_user.id
if LIST_ALLOWED_USERS:
if user_id not in LIST_ALLOWED_USER... | 25.04 | 90 | 0.683706 | 0 | 0 | 0 | 0 | 310 | 0.247604 | 0 | 0 | 146 | 0.116613 |
f83abdd41d8480514557524b539c95519e6c83ef | 152 | py | Python | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 6 | 2019-11-04T07:04:24.000Z | 2021-02-10T21:35:00.000Z | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | null | null | null | __init__.py | cmt-qo/cm-flakes | c11f37b50b088cf5c876ef8a6161b7d8d775e99b | [
"MIT"
] | 2 | 2020-08-07T09:29:41.000Z | 2021-02-10T21:35:05.000Z | from .Camera import *
from .GloveBox import *
from .Microscope import *
from .Stage import *
from .UserInterface import *
from .NeuralNetwork import * | 25.333333 | 28 | 0.756579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f83ba25f5a20e6c46fa842756d48009b7d4b11f6 | 4,444 | py | Python | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | 6 | 2020-04-05T23:24:54.000Z | 2021-11-15T11:17:09.000Z | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | 23 | 2020-03-15T09:09:54.000Z | 2022-03-29T22:32:23.000Z | neural_semigroups/mace4_semigroups_dataset.py | zarebulic/neural-semigroup-experiment | c554acb17d264ba810009f8b86c35ee9f8c4d1f4 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019-2021 Boris Shminke
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed t... | 34.71875 | 78 | 0.617912 | 3,627 | 0.816157 | 0 | 0 | 0 | 0 | 0 | 0 | 2,727 | 0.613636 |
f83bb94361c259b35e4ff208fa028f2496100f01 | 7,501 | py | Python | samples/data_inspect_utils.py | shachargluska/centerpose | 01c2c8bfa9d3ee91807f2ffdcc48728d104265bd | [
"MIT"
] | 245 | 2019-11-29T02:55:25.000Z | 2022-03-30T07:30:18.000Z | samples/data_inspect_utils.py | shachargluska/centerpose | 01c2c8bfa9d3ee91807f2ffdcc48728d104265bd | [
"MIT"
] | 24 | 2019-11-29T10:05:00.000Z | 2022-03-30T07:16:06.000Z | samples/data_inspect_utils.py | FishLiuabc/centerpose | 555d753cd82693476f91f78c53aa4147f5a83015 | [
"MIT"
] | 45 | 2019-11-29T05:12:02.000Z | 2022-03-21T02:20:36.000Z | from __future__ import absolute_import, division, print_function
import cv2
import random
import numpy as np
import colorsys
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.patches import Polygon
from skimage.measure import find_contours
def log(text, array=None):
"""Prints a... | 35.382075 | 94 | 0.55046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,108 | 0.281029 |
f83bc822a6f47feb415380dd8f541756419c1e6c | 265 | py | Python | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | tests/conftest.py | sparkythehuman/sms-service--send-message | 8f095ba181f1d42df3968fe34d5e20f30851e021 | [
"MIT"
] | null | null | null | import pytest
@pytest.fixture(autouse=True)
def set_up(monkeypatch):
monkeypatch.setenv('TABLE_NAME', 'test-table')
monkeypatch.setenv('TWILIO_ACCOUNT_SID', 'ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX')
monkeypatch.setenv('TWILIO_AUTH_TOKEN', 'my_auth_token') | 33.125 | 82 | 0.784906 | 0 | 0 | 0 | 0 | 249 | 0.939623 | 0 | 0 | 114 | 0.430189 |
f83c3a927ff9df79fe83f0ce7fdfd551b1c6f921 | 7,741 | py | Python | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 11 | 2020-07-29T07:46:39.000Z | 2022-03-17T01:28:07.000Z | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 1 | 2020-07-14T11:49:17.000Z | 2020-07-29T07:43:22.000Z | dapy/filters/particle.py | hassaniqbal209/data-assimilation | ec52d655395dbed547edf4b4f3df29f017633f1b | [
"MIT"
] | 10 | 2020-07-14T11:34:24.000Z | 2022-03-07T09:08:12.000Z | """Particle filters for inference in state space models."""
import abc
from typing import Tuple, Dict, Callable, Any, Optional
import numpy as np
from numpy.random import Generator
from scipy.special import logsumexp
from scipy.sparse import csr_matrix
from dapy.filters.base import AbstractEnsembleFilter
from dapy.mod... | 44.745665 | 88 | 0.689058 | 7,346 | 0.948973 | 0 | 0 | 165 | 0.021315 | 0 | 0 | 3,951 | 0.510399 |
f83d223baea30c7408f539bf887906161d4b99ea | 1,477 | py | Python | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | pokemon.py | bran-almeida/Pokemon_Game | 061c9e1b53d8cbaa7366634535288bb2868d6885 | [
"MIT"
] | null | null | null | import random
class Pokemon:
def __init__(self, especie, level=None, nome=None):
self.especie = especie
if nome:
self.nome = nome
else:
self.nome = especie
if level:
self.level = level
else:
self.level = ra... | 27.867925 | 83 | 0.564658 | 1,462 | 0.986505 | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 0.246289 |
f83da86dbe71993fb962e0b2187a7e3ca515bae8 | 2,254 | py | Python | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/577563_Vectorize_Operation/recipe-577563.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | """
Copyright 2011 Shao-Chuan Wang <shaochuan.wang AT gmail.com>
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
to ... | 40.25 | 81 | 0.732476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 0.521295 |