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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7ff7c5aa6f6f14131c4950482cfd7bb7a6bb5225 | 465 | py | Python | src/sima/simo/thrustcoefficientmodel.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/simo/thrustcoefficientmodel.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | src/sima/simo/thrustcoefficientmodel.py | SINTEF/simapy | 650b8c2f15503dad98e2bfc0d0788509593822c7 | [
"MIT"
] | null | null | null | # Generated with ThrustCoefficientModel
# | 25.833333 | 51 | 0.63871 | # Generated with ThrustCoefficientModel
#
from enum import Enum
from enum import auto
class ThrustCoefficientModel(Enum):
""""""
INTERNAL = auto()
FORWARD = auto()
SEPARATE = auto()
def label(self):
if self == ThrustCoefficientModel.INTERNAL:
return "Internal"
if self ... | 0 | 0 | 0 | 356 | 0 | 0 | 0 | 0 | 67 |
8377d92f2dad655376004eb338f17a383500ea46 | 1,973 | py | Python | app/rvp.py | LaxmanJonchhen12/CollegePredictor | cc9894932b5a2490be726231a25317abd91a4552 | [
"MIT"
] | null | null | null | app/rvp.py | LaxmanJonchhen12/CollegePredictor | cc9894932b5a2490be726231a25317abd91a4552 | [
"MIT"
] | null | null | null | app/rvp.py | LaxmanJonchhen12/CollegePredictor | cc9894932b5a2490be726231a25317abd91a4552 | [
"MIT"
] | null | null | null | # This function is used to predict the rank using Linear Regression
| 32.344262 | 92 | 0.546883 | # This function is used to predict the rank using Linear Regression
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
def pvr(perc,pwd,category):
rvp = pd.read_csv('rvp_cleaned.csv')
if(pwd == 'YES'):
if(categ... | 0 | 0 | 0 | 0 | 0 | 1,716 | 0 | 54 | 135 |
62caa386835ecba019407705b4c9672547a70553 | 1,524 | py | Python | ietf/person/migrations/0005_populate_person_name_from_draft.py | omunroe-com/ietfdb2 | aeaae292fbd55aca1b6043227ec105e67d73367f | [
"BSD-3-Clause"
] | 2 | 2021-11-20T03:40:56.000Z | 2021-11-20T03:40:59.000Z | ietf/person/migrations/0005_populate_person_name_from_draft.py | omunroe-com/ietfdb2 | aeaae292fbd55aca1b6043227ec105e67d73367f | [
"BSD-3-Clause"
] | null | null | null | ietf/person/migrations/0005_populate_person_name_from_draft.py | omunroe-com/ietfdb2 | aeaae292fbd55aca1b6043227ec105e67d73367f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-05-10 05:28
from __future__ import unicode_literals
| 31.75 | 106 | 0.597769 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-05-10 05:28
from __future__ import unicode_literals
import sys
from django.db import migrations
import debug # pyflakes:ignore
def populate_person_name_from_draft(apps, schema_editor):
Submission = apps.get_model('subm... | 0 | 0 | 0 | 192 | 0 | 1,044 | 0 | -9 | 183 |
64b86bc86487c6ebdc528defe1c83a9af4f88357 | 341 | py | Python | tests/test05.py | urain39/retry.py | eb94b2ed413acf8cc01dcabedae2c5bd26552bf0 | [
"Apache-2.0"
] | null | null | null | tests/test05.py | urain39/retry.py | eb94b2ed413acf8cc01dcabedae2c5bd26552bf0 | [
"Apache-2.0"
] | 2 | 2019-04-22T11:06:32.000Z | 2019-08-31T09:43:12.000Z | tests/test05.py | urain39/retry.py | eb94b2ed413acf8cc01dcabedae2c5bd26552bf0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
touch()
| 17.05 | 65 | 0.639296 | #!/usr/bin/env python3
from time import sleep
from random import random
from retry import retry
def retry_when(errors):
def handler(err, cnt):
print("Error: retry wait 3s..(cnt: {0} / 3)".format(cnt))
sleep(3 * random())
return retry(errors, 3, handler)
@retry_when((Exception,))
def touch():... | 0 | 27 | 0 | 0 | 0 | 161 | 0 | 7 | 112 |
33b418c90ca620217447920080642be24e6914b4 | 2,369 | py | Python | evil_mystery_word_tests.py | gcrowder/mystery_word | 4c137ee967b50cd73d3f4a0fc16fc020fb64a4bb | [
"MIT"
] | null | null | null | evil_mystery_word_tests.py | gcrowder/mystery_word | 4c137ee967b50cd73d3f4a0fc16fc020fb64a4bb | [
"MIT"
] | null | null | null | evil_mystery_word_tests.py | gcrowder/mystery_word | 4c137ee967b50cd73d3f4a0fc16fc020fb64a4bb | [
"MIT"
] | null | null | null | import unittest
test_words = ['i', 'spoke', 'to', 'several', 'people', 'with', 'delayed', 'sleep', 'phase', 'a', 'condition', 'that', 'congressional']
if __name__ == '__main__':
unittest.main()
| 50.404255 | 151 | 0.691431 | import unittest
import evil_mystery_word
test_words = ['i', 'spoke', 'to', 'several', 'people', 'with', 'delayed', 'sleep', 'phase', 'a', 'condition', 'that', 'congressional']
class TestMysteryWord(unittest.TestCase):
def test_assert_equal_get_words(self):
self.assertEqual(evil_mystery_word.get_words('te... | 0 | 0 | 0 | 2,120 | 0 | 0 | 0 | 3 | 45 |
9c02a0d2ded9b1473f1949fd209fb901dbcbd3f0 | 1,521 | py | Python | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/migrations/0005_auto_20200922_0641.py | kaka-lin/azure-intelligent-edge-patterns | 766833c7c25d2458cec697937be288202d1763bc | [
"MIT"
] | 176 | 2019-07-03T00:20:15.000Z | 2022-03-14T07:51:22.000Z | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/migrations/0005_auto_20200922_0641.py | kaka-lin/azure-intelligent-edge-patterns | 766833c7c25d2458cec697937be288202d1763bc | [
"MIT"
] | 121 | 2019-06-24T20:47:27.000Z | 2022-03-28T02:16:18.000Z | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/migrations/0005_auto_20200922_0641.py | kaka-lin/azure-intelligent-edge-patterns | 766833c7c25d2458cec697937be288202d1763bc | [
"MIT"
] | 144 | 2019-06-18T18:48:43.000Z | 2022-03-31T12:14:46.000Z | # Generated by Django 3.0.8 on 2020-09-22 06:41
import json
import uuid
def gen_default_lines():
"""gen_default_lines."""
template = {
"useCountingLine": True,
"countingLines": [
{
"id": "$UUID_PLACE_HOLDER",
"type": "Line",
"label":... | 24.934426 | 70 | 0.505588 | # Generated by Django 3.0.8 on 2020-09-22 06:41
import json
import uuid
from django.db import migrations, models
def gen_default_lines():
"""gen_default_lines."""
template = {
"useCountingLine": True,
"countingLines": [
{
"id": "$UUID_PLACE_HOLDER",
... | 0 | 0 | 0 | 558 | 0 | 0 | 0 | 19 | 46 |
55c861095f41496f18d15d8407e0534f63665b7f | 4,702 | py | Python | driver/driver.py | alexanderwasey/turtlebot_software | e82311b6aa79cda438b70767b8bcfd8867a12f5e | [
"Unlicense"
] | null | null | null | driver/driver.py | alexanderwasey/turtlebot_software | e82311b6aa79cda438b70767b8bcfd8867a12f5e | [
"Unlicense"
] | null | null | null | driver/driver.py | alexanderwasey/turtlebot_software | e82311b6aa79cda438b70767b8bcfd8867a12f5e | [
"Unlicense"
] | null | null | null | from __future__ import absolute_import
| 35.621212 | 143 | 0.59698 | from __future__ import absolute_import
import math
import threading
from time import sleep
import rospy
from geometry_msgs.msg import Twist
from nav_msgs.msg import Odometry
from tf.transformations import euler_from_quaternion
import collisions
from .exceptions import MovementObstructed
from .odometry import Odometer... | 0 | 0 | 0 | 4,335 | 0 | 0 | 0 | 60 | 268 |
ca4c4d9b56284401ce5b6bc065cbf3e68910ad02 | 282 | py | Python | examples/pup/hub_shared/imu_tilt.py | thesynman/pybricks-api | fbbb81caf0703d3d862d5417416adb9295754de0 | [
"MIT"
] | 51 | 2020-04-02T10:03:45.000Z | 2022-03-27T23:49:39.000Z | examples/pup/hub_shared/imu_tilt.py | thesynman/pybricks-api | fbbb81caf0703d3d862d5417416adb9295754de0 | [
"MIT"
] | 77 | 2020-03-22T17:32:14.000Z | 2022-03-28T18:02:43.000Z | examples/pup/hub_shared/imu_tilt.py | thesynman/pybricks-api | fbbb81caf0703d3d862d5417416adb9295754de0 | [
"MIT"
] | 25 | 2020-03-18T23:35:17.000Z | 2022-01-01T12:52:01.000Z | # ExampleHub = TechnicHub PrimeHub
from pybricks.hubs import ExampleHub
from pybricks.tools import wait
# Initialize the hub.
hub = ExampleHub()
while True:
# Read the tilt values.
pitch, roll = hub.imu.tilt()
# Print the result.
print(pitch, roll)
wait(200)
| 18.8 | 36 | 0.695035 | # ExampleHub = TechnicHub PrimeHub
from pybricks.hubs import ExampleHub
from pybricks.tools import wait
# Initialize the hub.
hub = ExampleHub()
while True:
# Read the tilt values.
pitch, roll = hub.imu.tilt()
# Print the result.
print(pitch, roll)
wait(200)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
05f94477fa2f36f4f2654bf1865c7c6ae2afcb4c | 20,771 | py | Python | lib/modeling/fast_rcnn_heads.py | szrlee/Detectron.pytorch | b64f94305a8df184c863100de3840cbb78c25008 | [
"MIT"
] | null | null | null | lib/modeling/fast_rcnn_heads.py | szrlee/Detectron.pytorch | b64f94305a8df184c863100de3840cbb78c25008 | [
"MIT"
] | null | null | null | lib/modeling/fast_rcnn_heads.py | szrlee/Detectron.pytorch | b64f94305a8df184c863100de3840cbb78c25008 | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.init as init
# ---------------------------------------------------------------------------- #
# Box heads
# ---------------------------------------------------------------------------- #
| 44.006356 | 117 | 0.625584 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
from torch.autograd import Variable
from core.config import cfg
import nn as mynn
import utils.net as net_utils
import utils.boxes as box_utils
import numpy as np
class fast_rcnn_outputs(nn.Module):
def __init__(self,... | 0 | 0 | 0 | 9,715 | 0 | 10,456 | 0 | 32 | 339 |
fbf27276f4103c076213cca870f14ffe216028dc | 2,181 | py | Python | swmm_baseline_model.py | UVAdMIST/smart_stormwater_rl | 0f0245e68a8ae15240df040bbda9ea5165f8f91f | [
"MIT"
] | null | null | null | swmm_baseline_model.py | UVAdMIST/smart_stormwater_rl | 0f0245e68a8ae15240df040bbda9ea5165f8f91f | [
"MIT"
] | null | null | null | swmm_baseline_model.py | UVAdMIST/smart_stormwater_rl | 0f0245e68a8ae15240df040bbda9ea5165f8f91f | [
"MIT"
] | 2 | 2020-12-05T20:40:45.000Z | 2021-04-15T13:41:18.000Z | """
Created by Benjamin Bowes, 4-19-19
This script records depth and flood values at each swmm model time step and plots them.
"""
from pyswmm import Simulation, Nodes, Links, Subcatchments
import matplotlib.pyplot as plt
from smart_stormwater_rl.pyswmm_utils import save_out
control_time_step = 900 # contro... | 27.607595 | 110 | 0.687758 | """
Created by Benjamin Bowes, 4-19-19
This script records depth and flood values at each swmm model time step and plots them.
"""
from pyswmm import Simulation, Nodes, Links, Subcatchments
import matplotlib.pyplot as plt
from smart_stormwater_rl.pyswmm_utils import save_out
control_time_step = 900 # contro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dad5bc5b9e7f8ed1a87ec3dc22a74bb63f3dfde1 | 839 | py | Python | p748_shortest_completing_word.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null | p748_shortest_completing_word.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null | p748_shortest_completing_word.py | feigaochn/leetcode | abf0877fae02aa9c2549051f0b68df0ace952512 | [
"MIT"
] | null | null | null |
fn = Solution().shortestCompletingWord
print(fn(licensePlate="1s3 PSt", words=["step", "steps", "stripe", "stepple"]))
print(fn(licensePlate="1s3 456", words=["looks", "pest", "stew", "show"]))
| 31.074074 | 79 | 0.52801 | class Solution:
def shortestCompletingWord(self, licensePlate, words):
"""
:type licensePlate: str
:type words: List[str]
:rtype: str
"""
from collections import Counter
import re
plate = Counter(re.findall(r'[a-z]', licensePlate.lower()))
best... | 0 | 0 | 0 | 620 | 0 | 0 | 0 | 0 | 22 |
b8d034f6b7d5c2af9e03f103b4f28ec9eb63efce | 2,187 | py | Python | ALPR/alvr.py | juanmapf97/license-plate-detection | ea26395312bc5c464b8843071ea1e2c11536aa7a | [
"Unlicense"
] | null | null | null | ALPR/alvr.py | juanmapf97/license-plate-detection | ea26395312bc5c464b8843071ea1e2c11536aa7a | [
"Unlicense"
] | 2 | 2021-03-09T21:59:08.000Z | 2021-12-09T01:15:39.000Z | ALPR/alvr.py | juanmapf97/license-plate-detection | ea26395312bc5c464b8843071ea1e2c11536aa7a | [
"Unlicense"
] | 1 | 2019-11-14T18:27:59.000Z | 2019-11-14T18:27:59.000Z | import pytesseract
pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'
# Get text from a cropped image of a license plate
# Detect a license plate in a picture
| 31.695652 | 103 | 0.644262 | import numpy as np
import cv2
import imutils
import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'
# Get text from a cropped image of a license plate
def getText(plate):
return pytesseract.image_to_string(plate, config='--psm 11')
#p... | 0 | 0 | 0 | 0 | 0 | 1,867 | 0 | -21 | 132 |
103fae9bb4a78dc0aaf46943b00526332eca3cc7 | 2,442 | py | Python | bin/CMakeModules.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 11 | 2020-07-05T02:39:32.000Z | 2022-03-20T18:52:44.000Z | bin/CMakeModules.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | null | null | null | bin/CMakeModules.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 4 | 2020-09-03T20:36:32.000Z | 2022-01-19T07:42:21.000Z | #!/usr/bin/env python
"""
CMakeModules.py
==================
This copies cmake/Modules into the installation directory
which is necessary to allow building against the release.
Usage Example
---------------
Note that the destination directory is deleted and populated on every run
::
[blyth@localhost ~]$ C... | 30.525 | 198 | 0.612613 | #!/usr/bin/env python
"""
CMakeModules.py
==================
This copies cmake/Modules into the installation directory
which is necessary to allow building against the release.
Usage Example
---------------
Note that the destination directory is deleted and populated on every run
::
[blyth@localhost ~]$ C... | 0 | 0 | 0 | 1,189 | 0 | 0 | 0 | 17 | 23 |
56c076b268f48c00c66e04609c9a6a07a074d74d | 821 | py | Python | web-app/__init__.py | mohshawky5193/otakumeter | a227699724300890c775e8076d99e2cd313ae7a7 | [
"Apache-2.0"
] | null | null | null | web-app/__init__.py | mohshawky5193/otakumeter | a227699724300890c775e8076d99e2cd313ae7a7 | [
"Apache-2.0"
] | null | null | null | web-app/__init__.py | mohshawky5193/otakumeter | a227699724300890c775e8076d99e2cd313ae7a7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 00:32:45 2020
@author: mam22
"""
from flask import Flask
app = Flask(__name__)
app.secret_key = b'_5#y2L"F4Q8z\n\xec]/'
if __name__ == "__main__":
app.run(debug=False) | 25.65625 | 76 | 0.732034 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 00:32:45 2020
@author: mam22
"""
from flask import Flask, render_template,request,jsonify,session
from get_anime_characters_from_database import get_anime_characters_for_quiz
import gc
app = Flask(__name__)
app.secret_key = b'_5#y2L"F4Q8z\n\xec]/'
@app.route('/')
de... | 0 | 358 | 0 | 0 | 0 | 0 | 0 | 84 | 155 |
c4fdf0c6cbd74c43432e5f0a564c6078532ba5d6 | 271 | py | Python | chexpert-model/train_set_create_script.py | stanfordmlgroup/CheXseg | ca345d7c4523816c174aafd2c40929345b38b2b2 | [
"MIT"
] | 7 | 2021-05-19T20:55:42.000Z | 2022-03-22T05:20:59.000Z | chexpert-model/train_set_create_script.py | subratac/CheXseg | fb5c411ce08e394cd4a2a87d963843942bdc2021 | [
"MIT"
] | null | null | null | chexpert-model/train_set_create_script.py | subratac/CheXseg | fb5c411ce08e394cd4a2a87d963843942bdc2021 | [
"MIT"
] | 3 | 2021-05-19T20:52:39.000Z | 2021-09-01T01:57:25.000Z | from create_semi_supervised_train_set import filter_train_set
if __name__ == "__main__":
for i in [10, 100, 500, 1000]:
for task in LOCALIZATION_TASKS:
print("FILTERING TASK: ", task)
filter_train_set(task, i)
| 30.111111 | 61 | 0.675277 | from create_semi_supervised_train_set import filter_train_set
from constants import *
if __name__ == "__main__":
for i in [10, 100, 500, 1000]:
for task in LOCALIZATION_TASKS:
print("FILTERING TASK: ", task)
filter_train_set(task, i)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
fb6bb8c209a40fe449dfa2e32402e823f9231e15 | 2,927 | py | Python | lib/couchBase.py | philipsales/airflow-couchbase-elasticsearch | f9bf06d88956d3e2322a7dfa6207becbdc1d1769 | [
"MIT"
] | null | null | null | lib/couchBase.py | philipsales/airflow-couchbase-elasticsearch | f9bf06d88956d3e2322a7dfa6207becbdc1d1769 | [
"MIT"
] | null | null | null | lib/couchBase.py | philipsales/airflow-couchbase-elasticsearch | f9bf06d88956d3e2322a7dfa6207becbdc1d1769 | [
"MIT"
] | null | null | null |
from log.config import logging
logger = logging.getLogger("couchbase.connection")
| 25.452174 | 95 | 0.565767 | import sys
import json
import time
import requests
from couchbase.bucket import Bucket
from couchbase.n1ql import N1QLQuery, N1QLError
from couchbase.exceptions import CouchbaseTransientError, CouchbaseNetworkError
from requests.exceptions import RequestException
from log.config import set_log_config, logging
logger... | 0 | 0 | 0 | 2,515 | 0 | 0 | 0 | 104 | 224 |
518e0b3db8f6a55f6f0898c3512d7a0b274ceb3d | 1,510 | py | Python | scripts/cluster_scores.py | MathiasMeuleman/measure-clustering | 3451ab50c9d77eb83f211ab6bf713bd3ac545926 | [
"MIT"
] | null | null | null | scripts/cluster_scores.py | MathiasMeuleman/measure-clustering | 3451ab50c9d77eb83f211ab6bf713bd3ac545926 | [
"MIT"
] | null | null | null | scripts/cluster_scores.py | MathiasMeuleman/measure-clustering | 3451ab50c9d77eb83f211ab6bf713bd3ac545926 | [
"MIT"
] | null | null | null | import numpy as np
from score_analysis.measure_clusterer import MeasureClusterer
from util.dirs import get_musicdata_scores, get_parts
if __name__ == '__main__':
for score in get_musicdata_scores(follow_parts=False):
print('Clustering {}...'.format(score.name))
dist_matrix_path = score / 'dist_mat... | 45.757576 | 82 | 0.650331 | import numpy as np
from score_analysis.measure_clusterer import MeasureClusterer
from util.dirs import get_musicdata_scores, get_parts
if __name__ == '__main__':
for score in get_musicdata_scores(follow_parts=False):
print('Clustering {}...'.format(score.name))
dist_matrix_path = score / 'dist_mat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0918eb9886d1a8986e1dd632ee80b02436a057fa | 898 | py | Python | corehq/form_processor/migrations/0031_add_details_field_to_case_transaction.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2020-05-05T13:10:01.000Z | 2020-05-05T13:10:01.000Z | corehq/form_processor/migrations/0031_add_details_field_to_case_transaction.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2019-12-09T14:00:14.000Z | 2019-12-09T14:00:14.000Z | corehq/form_processor/migrations/0031_add_details_field_to_case_transaction.py | MaciejChoromanski/commcare-hq | fd7f65362d56d73b75a2c20d2afeabbc70876867 | [
"BSD-3-Clause"
] | 5 | 2015-11-30T13:12:45.000Z | 2019-07-01T19:27:07.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
| 30.965517 | 224 | 0.643653 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
from django.db import models, migrations
import jsonfield.fields
class Migration(migrations.Migration):
dependencies = [
('form_processor', '0030_casetransaction_revoked'),
]
operations = [
... | 0 | 0 | 0 | 705 | 0 | 0 | 0 | 21 | 67 |
df0e4bc6c01a3fd360af919cd7a376f61a4072b9 | 521 | py | Python | spkcspider/apps/spider/migrations/0009_auto_20190929_2117.py | devkral/spkbspider | 97e448b4da412acebd66c4469c7fcdd07bf90ed2 | [
"MIT"
] | 5 | 2019-06-24T14:15:54.000Z | 2021-05-14T23:16:31.000Z | spkcspider/apps/spider/migrations/0009_auto_20190929_2117.py | devkral/spkbspider | 97e448b4da412acebd66c4469c7fcdd07bf90ed2 | [
"MIT"
] | 2 | 2018-06-19T09:56:18.000Z | 2018-11-20T12:02:44.000Z | spkcspider/apps/spider/migrations/0009_auto_20190929_2117.py | devkral/spkbspider | 97e448b4da412acebd66c4469c7fcdd07bf90ed2 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.5 on 2019-09-29 21:17
| 27.421053 | 170 | 0.612284 | # Generated by Django 2.2.5 on 2019-09-29 21:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('spider_base', '0008_auto_20190817_1815'),
]
operations = [
migrations.AlterField(
model_name='assignedprotection',
n... | 0 | 0 | 0 | 407 | 0 | 0 | 0 | 19 | 46 |
078602765783dfcc956246aa743f95305b6d12fc | 15,033 | py | Python | LoopStructural/interpolators/structured_grid.py | saward/LoopStructural | 541f0500a5387f2a337c5e715828d2c9e4cfe7b2 | [
"MIT"
] | null | null | null | LoopStructural/interpolators/structured_grid.py | saward/LoopStructural | 541f0500a5387f2a337c5e715828d2c9e4cfe7b2 | [
"MIT"
] | null | null | null | LoopStructural/interpolators/structured_grid.py | saward/LoopStructural | 541f0500a5387f2a337c5e715828d2c9e4cfe7b2 | [
"MIT"
] | null | null | null | """
Cartesian grid for fold interpolator
"""
import logging
logger = logging.getLogger(__name__)
| 31.985106 | 83 | 0.490321 | """
Cartesian grid for fold interpolator
"""
import logging
import numpy as np
logger = logging.getLogger(__name__)
class StructuredGrid:
"""
"""
def __init__(self,
origin=np.zeros(3),
nsteps=np.array([10, 10, 10]),
step_vector=np.ones(3),
... | 0 | 451 | 0 | 14,439 | 0 | 0 | 0 | -3 | 46 |
1b090d276d8aa2518c7d0b005d01bc2541f16d3d | 500 | py | Python | core/features/steps/access_system.py | rodrigoncalves/anato-hub | bb6c5a39bfbc247476a6ef4fe410c972b5e561c4 | [
"MIT"
] | null | null | null | core/features/steps/access_system.py | rodrigoncalves/anato-hub | bb6c5a39bfbc247476a6ef4fe410c972b5e561c4 | [
"MIT"
] | null | null | null | core/features/steps/access_system.py | rodrigoncalves/anato-hub | bb6c5a39bfbc247476a6ef4fe410c972b5e561c4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 23.809524 | 65 | 0.72 | # -*- coding: utf-8 -*-
from behave import given, when, then
from selenium import webdriver
from should_dsl import should
@given(u'que o usuário abre o navegador')
def open_browser(context):
context.driver = webdriver.Firefox()
@when(u'acessa a url "{url}"')
def access_localhost(context, url):
context.drive... | 2 | 305 | 0 | 0 | 0 | 0 | 0 | 32 | 135 |
37c9c251d957221d52ff1c6d37ee2af1d18657a1 | 3,387 | py | Python | projects/crontab/logic/stock_monitor.py | kingking888/crawler-pyspider | 29ba13905c73081097df9ef646a5c8194eb024be | [
"Apache-2.0"
] | 1 | 2021-12-07T15:48:51.000Z | 2021-12-07T15:48:51.000Z | projects/crontab/logic/stock_monitor.py | GongSong/crawler-pyspider | b6dcec4afa4e1cd393f94627290a21ed95238676 | [
"Apache-2.0"
] | null | null | null | projects/crontab/logic/stock_monitor.py | GongSong/crawler-pyspider | b6dcec4afa4e1cd393f94627290a21ed95238676 | [
"Apache-2.0"
] | 1 | 2021-11-10T07:12:02.000Z | 2021-11-10T07:12:02.000Z | """
"""
if __name__ == '__main__':
StockMonitor().run()
| 34.561224 | 112 | 0.574255 | """
仓库服务的库存监控
"""
from alarm.page.ding_talk import DingTalk
from crontab.config import prod_filter_warehouse_ids, ROBOT_TOKEN
from crontab.model.mysql.order_goods import OrderGoods
from crontab.model.mysql.order_info import OrderInfo
from crontab.model.mysql.product import Product
class StockMonitor:
def __init_... | 246 | 0 | 0 | 2,954 | 0 | 0 | 0 | 154 | 133 |
629a216e731ea8a603abf2d42e522179e0ccd8ae | 439 | py | Python | tfim/data/utils.py | c0de2eat/tf-img-models | c8e13cd11d2ad86acb42952751ace46419795555 | [
"MIT"
] | null | null | null | tfim/data/utils.py | c0de2eat/tf-img-models | c8e13cd11d2ad86acb42952751ace46419795555 | [
"MIT"
] | null | null | null | tfim/data/utils.py | c0de2eat/tf-img-models | c8e13cd11d2ad86acb42952751ace46419795555 | [
"MIT"
] | null | null | null |
__all__ = ["batchify"]
| 23.105263 | 77 | 0.694761 | import tensorflow as tf
__all__ = ["batchify"]
def batchify(
dataset: tf.data.Dataset,
batch_size: int,
*,
shuffle: bool = False,
buffer_size: int = None
) -> tf.data.Dataset:
if shuffle:
dataset = dataset.shuffle(buffer_size, reshuffle_each_iteration=True)
dataset = dataset.batc... | 0 | 0 | 0 | 0 | 0 | 366 | 0 | 2 | 45 |
0f682671465213324b8c7e9ef554ca565045e8a6 | 565 | py | Python | macstract.py | balthebladre/macstract | 5beb4c7a1435022825e9caf9f316aa6dd71e96ba | [
"MIT"
] | null | null | null | macstract.py | balthebladre/macstract | 5beb4c7a1435022825e9caf9f316aa6dd71e96ba | [
"MIT"
] | null | null | null | macstract.py | balthebladre/macstract | 5beb4c7a1435022825e9caf9f316aa6dd71e96ba | [
"MIT"
] | null | null | null | # shebang goes here
import argparse
parser = argparse.ArgumentParser(description='TODO')
parser.add_argument('destination', help='Destination to copy files')
parser.add_argument('-f',action='count',help='Force script to copy all files regardless of size')
args = parser.parse_args()
if __name__ == "__main__":
des... | 26.904762 | 97 | 0.704425 | # shebang goes here
import argparse, shutil
parser = argparse.ArgumentParser(description='TODO')
parser.add_argument('destination', help='Destination to copy files')
parser.add_argument('-f',action='count',help='Force script to copy all files regardless of size')
args = parser.parse_args()
def copy_verbose(source_pa... | 0 | 0 | 0 | 0 | 0 | 170 | 0 | 8 | 23 |
29a592057919ed377e4b419360a1a74f50986bc0 | 941 | py | Python | setup.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | null | null | null | setup.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | 1 | 2018-01-19T17:11:40.000Z | 2018-01-19T17:11:40.000Z | setup.py | deathbeds/ktop | b9ff55af75980526337ea1903bda83ccf1bf2f1e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from os.path import dirname, join
from setuptools import setup, find_packages
name = "ktop"
brand = "ripxl"
full_name = "Dead Pixel Collective"
with open(join(dirname(__file__), "src", name, "__init__.py")) as fp:
for i, line in enumerate(fp.readlines()):
if line.startswith("__versio... | 28.515152 | 73 | 0.650372 | #!/usr/bin/env python
from os.path import dirname, join
from setuptools import setup, find_packages
name = "ktop"
brand = "ripxl"
full_name = "Dead Pixel Collective"
with open(join(dirname(__file__), "src", name, "__init__.py")) as fp:
for i, line in enumerate(fp.readlines()):
if line.startswith("__versio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
437ab89d95677cae1c788b6a5c326d70ad6d4f3a | 4,313 | py | Python | gradient_and_color_libary.py | nkowdley/CarND-Advanced-Lane-Lines | 620f2e3dd2a5c7a4ee528018592fb0fb651d8cee | [
"MIT"
] | null | null | null | gradient_and_color_libary.py | nkowdley/CarND-Advanced-Lane-Lines | 620f2e3dd2a5c7a4ee528018592fb0fb651d8cee | [
"MIT"
] | null | null | null | gradient_and_color_libary.py | nkowdley/CarND-Advanced-Lane-Lines | 620f2e3dd2a5c7a4ee528018592fb0fb651d8cee | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
A python library for the Udacity Project Advanced Lane Lines
This library is designed to abstract away some useful functions, so that using this code
for images/video becomes almost like calling an API
"""
# The following globals are designed to make development/debug easier. In a more rea... | 44.927083 | 105 | 0.697426 | #!/usr/bin/env python
"""
A python library for the Udacity Project Advanced Lane Lines
This library is designed to abstract away some useful functions, so that using this code
for images/video becomes almost like calling an API
"""
import numpy as np
import cv2
import glob
import pickle
from pprint import pprint
# T... | 0 | 0 | 0 | 0 | 0 | 3,384 | 0 | -28 | 251 |
20417b9c67d97dbf17f6edb3acd987f7ead23169 | 1,016 | py | Python | sample-sentiment.py | EEICHS/Twotter2 | 964c312df6c00186031312924b5d8a8872a6753b | [
"MIT"
] | null | null | null | sample-sentiment.py | EEICHS/Twotter2 | 964c312df6c00186031312924b5d8a8872a6753b | [
"MIT"
] | null | null | null | sample-sentiment.py | EEICHS/Twotter2 | 964c312df6c00186031312924b5d8a8872a6753b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Natural Language Processing example performing
# sentiment analysis and setting a Belleds light to
# a color matching sentiment.
#
# Example usage:
# echo "I hate you and I'm having a terrible day" | ./sample-sentiment.py
# => user is angry, light turns red
# echo "I love chocolate. So awesome... | 28.222222 | 101 | 0.700787 | #!/usr/bin/env python3
# Natural Language Processing example performing
# sentiment analysis and setting a Belleds light to
# a color matching sentiment.
#
# Example usage:
# echo "I hate you and I'm having a terrible day" | ./sample-sentiment.py
# => user is angry, light turns red
# echo "I love chocolate. So awesome... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b62c597f195dcf743fb3a167a9eaed18cc862a19 | 158 | py | Python | Codeforces/B_Valerii_Against_Everyone.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | Codeforces/B_Valerii_Against_Everyone.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | Codeforces/B_Valerii_Against_Everyone.py | anubhab-code/Competitive-Programming | de28cb7d44044b9e7d8bdb475da61e37c018ac35 | [
"MIT"
] | null | null | null | for _ in range(int(input())):
n=int(input())
l=list(map(int,input().split()))
if len(set(l))<n:
print("YES")
else:
print("NO") | 22.571429 | 36 | 0.493671 | for _ in range(int(input())):
n=int(input())
l=list(map(int,input().split()))
if len(set(l))<n:
print("YES")
else:
print("NO") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
372cd338d7801eac151b4a42aaafdb47487007b8 | 3,692 | py | Python | auto_pose/test/aae_retina_webcam_pose.py | dfraska-ftl/AugmentedAutoencoder | ef000e82c1b64ab72bdb203ed1f4ce6fcd536829 | [
"MIT"
] | null | null | null | auto_pose/test/aae_retina_webcam_pose.py | dfraska-ftl/AugmentedAutoencoder | ef000e82c1b64ab72bdb203ed1f4ce6fcd536829 | [
"MIT"
] | null | null | null | auto_pose/test/aae_retina_webcam_pose.py | dfraska-ftl/AugmentedAutoencoder | ef000e82c1b64ab72bdb203ed1f4ce6fcd536829 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 41.022222 | 134 | 0.592362 | import cv2
import numpy as np
import os
import argparse
import configparser
from webcam_video_stream import WebcamVideoStream
from auto_pose.ae.utils import get_dataset_path
from aae_retina_pose_estimator import AePoseEstimator
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-test_config",... | 0 | 0 | 0 | 0 | 0 | 3,401 | 0 | 52 | 200 |
4c77f6d85b11a737eb2343a49ac72153de3cce51 | 1,656 | py | Python | gammapy/datasets/data/poisson_stats_image/fit_sherpa.py | joleroi/gammapy | c4e0c4bd74c79d30e0837559d18b7a1a269f70d9 | [
"BSD-3-Clause"
] | null | null | null | gammapy/datasets/data/poisson_stats_image/fit_sherpa.py | joleroi/gammapy | c4e0c4bd74c79d30e0837559d18b7a1a269f70d9 | [
"BSD-3-Clause"
] | null | null | null | gammapy/datasets/data/poisson_stats_image/fit_sherpa.py | joleroi/gammapy | c4e0c4bd74c79d30e0837559d18b7a1a269f70d9 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Compute results with Sherpa"""
from __future__ import print_function, division
# __doctest_skip__
__doctest_skip__ = ['*']
import numpy as np
import sherpa.astro.ui as sau
sau.load_data('counts.fits.gz')
sau.set_source('normgauss2d.source + const2d.bac... | 30.109091 | 78 | 0.737319 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Compute results with Sherpa"""
from __future__ import print_function, division
# __doctest_skip__
__doctest_skip__ = ['*']
import numpy as np
import sherpa.astro.ui as sau
sau.load_data('counts.fits.gz')
sau.set_source('normgauss2d.source + const2d.bac... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b19060aa18c8c5ed4dce0857e401f13ce6d76e4c | 8,765 | py | Python | abusehelper/tools/botnet/commands.py | AbuseSA/abusehelper | 3e953632d20317c6bfe7eeb987ea9104d8f2a957 | [
"MIT"
] | 117 | 2015-11-30T09:52:52.000Z | 2021-11-24T23:58:13.000Z | abusehelper/tools/botnet/commands.py | AbuseSA/abusehelper | 3e953632d20317c6bfe7eeb987ea9104d8f2a957 | [
"MIT"
] | 57 | 2015-12-08T10:06:57.000Z | 2018-03-28T11:13:11.000Z | abusehelper/tools/botnet/commands.py | AbuseSA/abusehelper | 3e953632d20317c6bfe7eeb987ea9104d8f2a957 | [
"MIT"
] | 29 | 2016-02-08T08:24:30.000Z | 2022-03-31T13:53:15.000Z |
# Helpers
# Instance
# Commands
| 26.560606 | 80 | 0.538049 | import os
import re
import sys
import time
import errno
import signal
import select
from botnet import Command
# Helpers
def popen(*args, **keys):
import subprocess
defaults = {
"stdout": subprocess.PIPE,
"stderr": subprocess.PIPE,
"stdin": subprocess.PIPE,
"close_fds": True... | 0 | 582 | 0 | 5,770 | 588 | 1,342 | 0 | -65 | 499 |
bc3a92e3a48e9127358372dd8af00e971b51c372 | 5,792 | py | Python | db_repository/versions/019_migration.py | calcutec/flask-burtonblog | 23b02f81f7772f2f50a382bb885b4fb008e4f815 | [
"BSD-3-Clause"
] | null | null | null | db_repository/versions/019_migration.py | calcutec/flask-burtonblog | 23b02f81f7772f2f50a382bb885b4fb008e4f815 | [
"BSD-3-Clause"
] | null | null | null | db_repository/versions/019_migration.py | calcutec/flask-burtonblog | 23b02f81f7772f2f50a382bb885b4fb008e4f815 | [
"BSD-3-Clause"
] | null | null | null |
pre_meta = MetaData()
post_meta = MetaData()
exifstats = Table('exifstats', pre_meta,
Column('id', INTEGER, primary_key=True, nullable=False),
Column('post_id', INTEGER),
Column('date_time', TIMESTAMP),
Column('exposure_program', VARCHAR(length=80)),
Column('fNumber', VARCHAR(length=16)),
Colum... | 50.807018 | 77 | 0.718577 | from sqlalchemy import *
from migrate import *
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
exifstats = Table('exifstats', pre_meta,
Column('id', INTEGER, primary_key=True, nullable=False),
Column('post_id', INTEGER),
Column('date_time', TIMESTAMP),
Column('exposur... | 0 | 0 | 0 | 0 | 0 | 4,014 | 0 | 18 | 113 |
0096c5c037b19dd74046c09319dfafc30e3bd9fe | 1,206 | py | Python | string-operations/A3_2.py | hscup/assignment | fab1c8589f45fba1fe0cbb14a138dc60bbcd942d | [
"MIT"
] | null | null | null | string-operations/A3_2.py | hscup/assignment | fab1c8589f45fba1fe0cbb14a138dc60bbcd942d | [
"MIT"
] | null | null | null | string-operations/A3_2.py | hscup/assignment | fab1c8589f45fba1fe0cbb14a138dc60bbcd942d | [
"MIT"
] | null | null | null | # this list will store the test scores we will read from the file
scores = []
# Ask the user for a file name
file_name = input('Please enter the file name: ')
# open the file for reading
with open(file_name, 'r') as score_file:
for line in score_file:
# Convert the test score in the current line to a num... | 32.594595 | 79 | 0.689884 | # this list will store the test scores we will read from the file
scores = []
# Ask the user for a file name
file_name = input('Please enter the file name: ')
# open the file for reading
with open(file_name, 'r') as score_file:
for line in score_file:
# Convert the test score in the current line to a num... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
579a5de7477fdf1cb772d87478442f27b0aefd8a | 1,040 | py | Python | #4_Task.O'zgaruvchilar.py | ShukurDev/Examples-in-Python | 94d9d977efeb7bb0a3a5cd258d58b74e1bd9a0f6 | [
"Unlicense"
] | 1 | 2021-10-09T17:12:07.000Z | 2021-10-09T17:12:07.000Z | #4_Task.O'zgaruvchilar.py | Shukurali777/Python_Tasks | 94d9d977efeb7bb0a3a5cd258d58b74e1bd9a0f6 | [
"Unlicense"
] | null | null | null | #4_Task.O'zgaruvchilar.py | Shukurali777/Python_Tasks | 94d9d977efeb7bb0a3a5cd258d58b74e1bd9a0f6 | [
"Unlicense"
] | null | null | null | # "Hello World!" matnini yangi o'zgaruvchiga yuklang va print() yordamida konsolga chiqaring
a = "Hello World!"
print(a)
# xabar deb nomlangan o'zgaruvchiga biror matn yuklang va konsolga chiqaring,
# keyin esa o'zgaruvchiga yangi qiymat berib uni ham konsolga chiqaring.
xabar = "Shuningdek o'zgaruvchilarga Pythonda ... | 54.736842 | 365 | 0.7875 | # "Hello World!" matnini yangi o'zgaruvchiga yuklang va print() yordamida konsolga chiqaring
a = "Hello World!"
print(a)
# xabar deb nomlangan o'zgaruvchiga biror matn yuklang va konsolga chiqaring,
# keyin esa o'zgaruvchiga yangi qiymat berib uni ham konsolga chiqaring.
xabar = "Shuningdek o'zgaruvchilarga Pythonda ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
50864039f63f91a92b3c4c41238a0131c77470e4 | 599 | py | Python | AGC/agc001-agc050/agc041/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 2 | 2020-06-12T09:54:23.000Z | 2021-05-04T01:34:07.000Z | AGC/agc001-agc050/agc041/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 961 | 2020-06-23T07:26:22.000Z | 2022-03-31T21:34:52.000Z | AGC/agc001-agc050/agc041/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
if __name__ == '__main__':
main()
| 23.038462 | 56 | 0.480801 | # -*- coding: utf-8 -*-
def main():
n, a, b = map(int, input().split())
diff = b - a
# See:
# https://img.atcoder.jp/agc041/editorial.pdf
# KeyInsight: 移動パターンを分解する
# ◯：A, Bの位置の偶奇が一致しているかどうかの場合分け
# ：A, Bの位置の偶奇が不一致のときに，片方が端部まで移動する
# ×：上記のcaseでの最短roundを計算する部分
if diff... | 341 | 0 | 0 | 0 | 0 | 389 | 0 | 0 | 25 |
fd87b3f2c7adc035b5a80f6f65ae2db670b41d19 | 213,697 | py | Python | mdfstudio/blocks/v4_blocks.py | hyundai-autoever-opensource/mdfstudio-hkmc | ac0e5ed657855c058116c69144fabac7b3601c41 | [
"OML"
] | null | null | null | mdfstudio/blocks/v4_blocks.py | hyundai-autoever-opensource/mdfstudio-hkmc | ac0e5ed657855c058116c69144fabac7b3601c41 | [
"OML"
] | null | null | null | mdfstudio/blocks/v4_blocks.py | hyundai-autoever-opensource/mdfstudio-hkmc | ac0e5ed657855c058116c69144fabac7b3601c41 | [
"OML"
] | null | null | null | # -*- coding: utf-8 -*-
"""
classes that implement the blocks for MDF version 4
Edit history
Author : yda
Date : 2020-11-12
Package name changed - asammdf to mdfstudio
Functions
---------
* Channel.metadata - Get rid of b" text when decoding byte type data
* Channel.__init__ - Set ... | 35.480159 | 139 | 0.483984 | # -*- coding: utf-8 -*-
"""
classes that implement the blocks for MDF version 4
Edit history
Author : yda
Date : 2020-11-12
Package name changed - asammdf to mdfstudio
Functions
---------
* Channel.metadata - Get rid of b" text when decoding byte type data
* Channel.__init__ - Set ... | 0 | 1,220 | 0 | 210,131 | 0 | 0 | 0 | 270 | 794 |
dea172b81061f1df2c8f672d6fa72284f9fe92cd | 2,791 | py | Python | lsp/server/daemon.py | paulovap/pinelang | bfe76be96423d2098275d6c7d1598b72cf9617be | [
"BSD-3-Clause"
] | 3 | 2020-08-19T10:04:01.000Z | 2021-12-23T11:09:48.000Z | lsp/server/daemon.py | paulovap/pinelang | bfe76be96423d2098275d6c7d1598b72cf9617be | [
"BSD-3-Clause"
] | null | null | null | lsp/server/daemon.py | paulovap/pinelang | bfe76be96423d2098275d6c7d1598b72cf9617be | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import sys
import logging
logger = logging.getLogger('lsp-daemon')
hdlr = logging.FileHandler('/Users/ppinheiro/git_tree/pinelang/lsp/server/lsp-daemon.log')
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
hdlr.setFormatter(formatter)
logger.addHandler(hdlr)
logger.setLev... | 30.67033 | 95 | 0.640631 | #!/usr/bin/env python3
import asyncore, socket
import sys
import threading
import logging
logger = logging.getLogger('lsp-daemon')
hdlr = logging.FileHandler('/Users/ppinheiro/git_tree/pinelang/lsp/server/lsp-daemon.log')
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
hdlr.setFormatter(formatte... | 0 | 0 | 0 | 1,654 | 0 | 0 | 0 | -3 | 67 |
758678212654c7b045c5fe936f5a93ec54475534 | 3,594 | py | Python | students/k3342/laboratory_works/Litvinova_Elizaveta/laboratory_work_2/django_hotel/hotel_app/migrations/0001_initial.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 10 | 2020-03-20T09:06:12.000Z | 2021-07-27T13:06:02.000Z | students/k3342/laboratory_works/Litvinova_Elizaveta/laboratory_work_2/django_hotel/hotel_app/migrations/0001_initial.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 134 | 2020-03-23T09:47:48.000Z | 2022-03-12T01:05:19.000Z | students/k3342/laboratory_works/Litvinova_Elizaveta/laboratory_work_2/django_hotel/hotel_app/migrations/0001_initial.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 71 | 2020-03-20T12:45:56.000Z | 2021-10-31T19:22:25.000Z | # Generated by Django 3.0.8 on 2020-07-02 10:30
| 46.675325 | 168 | 0.567334 | # Generated by Django 3.0.8 on 2020-07-02 10:30
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 154 | 0 | 0 | 3,337 | 0 | 0 | 0 | 41 | 90 |
ab94d8784cdf3b4540eb9295805739df84f1e91b | 469 | py | Python | library/lib_study/141_i18n_gettext.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | library/lib_study/141_i18n_gettext.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | library/lib_study/141_i18n_gettext.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | # internationalization (I18N) and localization (L10N)
# gettext GNU(i18n)
"""
gettext GNU
xgettext: po(portable object)
msgfmt: pomo(machine object)
gettext:
https://blog.csdn.net/handsomekang/article/details/78747504
"""
# https://www.gnu.org/software/gettext/
# windows http://gnuwin32.sourceforge.net/packages/... | 26.055556 | 74 | 0.780384 | # internationalization (I18N) 国际化 and localization (L10N) 本土化
# gettext 是GNU国际化与本地化(i18n)函数库
"""
gettext 是一套 GNU下的国际化工具。主要有工具：
xgettext: 从源码中抽取字符串，生成po文件(portable object)
msgfmt: 将po文件编译成mo文件(machine object)
gettext: 进行翻译
https://blog.csdn.net/handsomekang/article/details/78747504
"""
# https://www.gnu.org/software/g... | 201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0f39174d0598c3845e6a8b5a2c1545bbd65ccd7e | 7,484 | py | Python | Courses/Cryptography DIT250-TDA352/Assignment 4/Implementation/tb_block_cipher.py | itismesam/Courses-1 | 7669c4460be02b8bbaea2ae79182af2667e9e6b2 | [
"MIT"
] | 40 | 2020-09-30T13:45:50.000Z | 2022-03-10T10:22:19.000Z | Courses/Cryptography DIT250-TDA352/Assignment 4/Implementation/tb_block_cipher.py | itismesam/Courses-1 | 7669c4460be02b8bbaea2ae79182af2667e9e6b2 | [
"MIT"
] | null | null | null | Courses/Cryptography DIT250-TDA352/Assignment 4/Implementation/tb_block_cipher.py | itismesam/Courses-1 | 7669c4460be02b8bbaea2ae79182af2667e9e6b2 | [
"MIT"
] | 24 | 2020-10-06T07:05:38.000Z | 2022-03-10T10:23:29.000Z | import numpy as np
# Declare 'global' variables, matrices used for function P and also S_boxes
lambd = np.loadtxt(open("matrix.txt", "rb"), delimiter=" ", skiprows=0)
lambd_inv = np.loadtxt(open("matrix_inv.txt", "rb"), delimiter=" ", skiprows=0)
S_box = {'00':'67', '01':'64', '02':'14', '03':'35', '04':'60',... | 35.638095 | 120 | 0.561865 | import numpy as np
# Declare 'global' variables, matrices used for function P and also S_boxes
lambd = np.loadtxt(open("matrix.txt", "rb"), delimiter=" ", skiprows=0)
lambd_inv = np.loadtxt(open("matrix_inv.txt", "rb"), delimiter=" ", skiprows=0)
S_box = {'00':'67', '01':'64', '02':'14', '03':'35', '04':'60',... | 0 | 0 | 0 | 0 | 0 | 5,218 | 0 | 0 | 178 |
4755948769114a4ff01f3bed64d1d7df80cc03d0 | 1,441 | py | Python | api/src/opentrons/hardware_control/emulation/scripts/run_app.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | 2 | 2015-11-10T17:49:51.000Z | 2016-01-15T04:43:37.000Z | api/src/opentrons/hardware_control/emulation/scripts/run_app.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | 2 | 2022-02-15T03:28:35.000Z | 2022-02-28T01:34:18.000Z | api/src/opentrons/hardware_control/emulation/scripts/run_app.py | anuwrag/opentrons | 28c8d76a19e367c6bd38f5290faaa32abf378715 | [
"Apache-2.0"
] | null | null | null | """Script for starting up emulation up with module emulators."""
import logging
import asyncio
from argparse import ArgumentParser
from opentrons.hardware_control.emulation.scripts.run_module_emulator import (emulator_builder)
from opentrons.hardware_control.emulation.settings import Settings
def main() -> None:
... | 26.2 | 84 | 0.687023 | """Script for starting up emulation up with module emulators."""
import logging
import asyncio
from argparse import ArgumentParser
from typing import List
from opentrons.hardware_control.emulation.app import Application
from opentrons.hardware_control.emulation.scripts.run_module_emulator import (
emulator_builder... | 0 | 0 | 559 | 0 | 0 | 0 | 0 | 89 | 90 |
5499f0f0a20f64c154562ea3dead6cf06a9f5d87 | 12,839 | py | Python | mmseg/models/backbones/ddrnet.py | evgeniya-egupova/mmsegmentation | 3857f19321ad6af41c8a6af364898ee050225f4c | [
"Apache-2.0"
] | null | null | null | mmseg/models/backbones/ddrnet.py | evgeniya-egupova/mmsegmentation | 3857f19321ad6af41c8a6af364898ee050225f4c | [
"Apache-2.0"
] | null | null | null | mmseg/models/backbones/ddrnet.py | evgeniya-egupova/mmsegmentation | 3857f19321ad6af41c8a6af364898ee050225f4c | [
"Apache-2.0"
] | null | null | null | # The original repo: https://github.com/ydhongHIT/DDRNet
import torch.nn as nn
BatchNorm2d = nn.SyncBatchNorm
bn_mom = 0.1
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
pa... | 34.888587 | 103 | 0.569671 | # The original repo: https://github.com/ydhongHIT/DDRNet
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import load_checkpoint
from mmcv.utils.parrots_wrapper import _BatchNorm
from mmseg.utils import get_root_logger
from ..builder import BACKBONES
BatchNorm2d = nn.S... | 0 | 6,194 | 0 | 5,976 | 0 | 0 | 0 | 75 | 244 |
fc196d4a53af9df4c92f8c39711e2ba76da88a58 | 72 | py | Python | AtC_Beg_Con_061-070/ABC063/A.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_061-070/ABC063/A.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_061-070/ABC063/A.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | a, b = map(int, input().split())
print(a + b if a + b < 10 else "error") | 36 | 39 | 0.555556 | a, b = map(int, input().split())
print(a + b if a + b < 10 else "error") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86f9c59c82df8db520fe842e19c4ec432bfd83be | 6,609 | py | Python | tests/common/platform/transceiver_utils.py | arista-northwest/sonic-mgmt | ef83219cf68b03693aedf22c22a040000a491a64 | [
"Apache-2.0"
] | 132 | 2016-10-19T12:34:44.000Z | 2022-03-16T09:00:39.000Z | tests/common/platform/transceiver_utils.py | arista-northwest/sonic-mgmt | ef83219cf68b03693aedf22c22a040000a491a64 | [
"Apache-2.0"
] | 3,152 | 2016-09-21T23:05:58.000Z | 2022-03-31T23:29:08.000Z | tests/common/platform/transceiver_utils.py | arista-northwest/sonic-mgmt | ef83219cf68b03693aedf22c22a040000a491a64 | [
"Apache-2.0"
] | 563 | 2016-09-20T01:00:15.000Z | 2022-03-31T22:43:54.000Z | """
Helper script for checking status of transceivers
This script contains re-usable functions for checking status of transceivers.
"""
import logging
import re
def parse_transceiver_info(output_lines):
"""
@summary: Parse the list of transceiver from DB table TRANSCEIVER_INFO content
@param output_lines... | 47.207143 | 118 | 0.70752 | """
Helper script for checking status of transceivers
This script contains re-usable functions for checking status of transceivers.
"""
import logging
import re
def parse_transceiver_info(output_lines):
"""
@summary: Parse the list of transceiver from DB table TRANSCEIVER_INFO content
@param output_lines... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0f305a25e2af26b289000c2eb32a910738fd39a | 2,051 | py | Python | utils/load.py | Vlammar/SAM | 0627db502c541d7f1aa601d8b788ac4985610f58 | [
"MIT"
] | null | null | null | utils/load.py | Vlammar/SAM | 0627db502c541d7f1aa601d8b788ac4985610f58 | [
"MIT"
] | null | null | null | utils/load.py | Vlammar/SAM | 0627db502c541d7f1aa601d8b788ac4985610f58 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
print('Labels:', get_label_list())
bl = batchLoader(100,path_msdi=msdi_path)
for i in range(10):
X,y=bl.load(i)
print(X.shape,len(y))
#print(X[1])
""" print('Labels:', get_label_list())
bl = batchLoader(100,path_msdi=msdi_path)
for i in range(10):
for batch in bl.loadBatch... | 26.986842 | 81 | 0.678693 | from msdi_io import *
class batchLoader():
def __init__(self,batch_size,path_msdi,max_size=30712):
self.i = 0
self.batch_size= batch_size
self.path_msdi = path_msdi
self.max_size = max_size
self.msdi = get_msdi_dataframe(msdi_path)
def load(self,batch_nb,img_size):
batch_size = min(self.i+self.batch... | 0 | 0 | 0 | 1,623 | 0 | 0 | 0 | 0 | 45 |
12651f8b860f73c5c65274cede5661efe213867f | 364 | py | Python | habu/lib/arpoison.py | optimustoaster/habu | 9ab5e7b8dd3b81b25dc48d4afc9f731a1b7489f0 | [
"BSD-3-Clause"
] | 461 | 2017-05-27T15:35:13.000Z | 2019-11-30T23:13:15.000Z | habu/lib/arpoison.py | dolboBobo/habu | d9f2df6ac66b7527f7a731f943af07726ff7e2e2 | [
"BSD-3-Clause"
] | 10 | 2017-10-12T09:43:23.000Z | 2019-06-21T17:25:09.000Z | habu/lib/arpoison.py | dolboBobo/habu | d9f2df6ac66b7527f7a731f943af07726ff7e2e2 | [
"BSD-3-Clause"
] | 108 | 2017-09-23T19:55:23.000Z | 2019-11-30T19:08:32.000Z | from scapy.all import conf
conf.verb = 0
if __name__ == '__main__':
pass
| 18.2 | 46 | 0.678571 | from scapy.all import arpcachepoison, conf
import ipaddress
conf.verb = 0
def arpoison(target1, target2, interval=5):
try:
ipaddress.ip_address(target1)
ipaddress.ip_address(target2)
except ValueError:
print("Bad IP address")
return 1
arpcachepoison(target1, target2, inte... | 0 | 0 | 0 | 0 | 0 | 228 | 0 | 11 | 45 |
3465ddbd9219f8f87ae8022db65d60033f1cb870 | 1,472 | py | Python | api/app.py | RomanZorkin/contracts_accounting | 0b4d0427a2b5fffc3b8c012318a9e19f9f7c734f | [
"MIT"
] | null | null | null | api/app.py | RomanZorkin/contracts_accounting | 0b4d0427a2b5fffc3b8c012318a9e19f9f7c734f | [
"MIT"
] | null | null | null | api/app.py | RomanZorkin/contracts_accounting | 0b4d0427a2b5fffc3b8c012318a9e19f9f7c734f | [
"MIT"
] | null | null | null |
from fastapi import FastAPI
import api.sql_handler as sql_handler
app = FastAPI()
| 20.444444 | 46 | 0.66644 | from typing import Optional
from fastapi import FastAPI
import api.sql_handler as sql_handler
app = FastAPI()
@app.get("/items/")
def read_item(num: str):
#reg_num = f'{item_id}/{str(year)[2:4]}'
query_sd = sql_handler.filter_query(num)
#print('query', query_sd)
return query_sd
@app.get("/all"... | 0 | 1,037 | 0 | 0 | 0 | 0 | 0 | 6 | 344 |
4f30702fc2c746d02e7b4301d70f095f4cb60cab | 258 | py | Python | env/lib/python3.8/site-packages/munch/python3_compat.py | CristianCristanchoT/predyctiva | d745f9d687dc0de0a1615ee219b86a9d68571782 | [
"MIT"
] | 563 | 2015-02-27T02:02:06.000Z | 2022-03-25T04:40:33.000Z | env/lib/python3.8/site-packages/munch/python3_compat.py | CristianCristanchoT/predyctiva | d745f9d687dc0de0a1615ee219b86a9d68571782 | [
"MIT"
] | 64 | 2015-04-11T22:24:11.000Z | 2022-02-02T12:39:57.000Z | env/lib/python3.8/site-packages/munch/python3_compat.py | CristianCristanchoT/predyctiva | d745f9d687dc0de0a1615ee219b86a9d68571782 | [
"MIT"
] | 84 | 2015-01-05T22:50:13.000Z | 2022-03-30T15:25:06.000Z | try:
from collections.abc import Mapping # pylint: disable=unused-import
except ImportError:
# Legacy Python
| 36.857143 | 72 | 0.763566 | from six import u, iteritems, iterkeys # pylint: disable=unused-import
try:
from collections.abc import Mapping # pylint: disable=unused-import
except ImportError:
# Legacy Python
from collections import Mapping # pylint: disable=unused-import
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 113 |
aa7e0f5e47e2bde49afce7d49dcdd9eaf4af6e16 | 1,429 | py | Python | src/mergedictionaries/sources/hunspell.py | nasqueron/merge-dictionaries | 657fb61165e33ad7dbb6f9641c6cf10752acf9e6 | [
"BSD-2-Clause"
] | null | null | null | src/mergedictionaries/sources/hunspell.py | nasqueron/merge-dictionaries | 657fb61165e33ad7dbb6f9641c6cf10752acf9e6 | [
"BSD-2-Clause"
] | null | null | null | src/mergedictionaries/sources/hunspell.py | nasqueron/merge-dictionaries | 657fb61165e33ad7dbb6f9641c6cf10752acf9e6 | [
"BSD-2-Clause"
] | null | null | null | # -------------------------------------------------------------
# Merge dictionaries :: Sources :: Hunspell
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Project: Nasqueron
# Description: Find Hunspell personal dictionaries
# License: BSD-2-Clause
# -------------------... | 25.070175 | 79 | 0.572428 | # -------------------------------------------------------------
# Merge dictionaries :: Sources :: Hunspell
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Project: Nasqueron
# Description: Find Hunspell personal dictionaries
# License: BSD-2-Clause
# -------------------... | 0 | 0 | 0 | 0 | 0 | 934 | 0 | -12 | 138 |
40c308d59966bf697eb149c92d9e696ab0203863 | 4,056 | py | Python | neutron/tests/tools.py | NeCTAR-RC/neutron | acf78cc3c88aff638180819419a65145a9a79695 | [
"Apache-2.0"
] | null | null | null | neutron/tests/tools.py | NeCTAR-RC/neutron | acf78cc3c88aff638180819419a65145a9a79695 | [
"Apache-2.0"
] | null | null | null | neutron/tests/tools.py | NeCTAR-RC/neutron | acf78cc3c88aff638180819419a65145a9a79695 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 NEC Corporation
# 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 requi... | 33.245902 | 79 | 0.68072 | # Copyright (c) 2013 NEC Corporation
# 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 requi... | 0 | 0 | 0 | 1,891 | 0 | 371 | 0 | -7 | 206 |
fee871b0271a48d9b790a885e40bd17abcb886b4 | 13,024 | py | Python | nyc311calendar/__init__.py | elahd/nyc311calendar | d34c586d78b7c46bcb349a023a3441514872d4ed | [
"MIT"
] | null | null | null | nyc311calendar/__init__.py | elahd/nyc311calendar | d34c586d78b7c46bcb349a023a3441514872d4ed | [
"MIT"
] | null | null | null | nyc311calendar/__init__.py | elahd/nyc311calendar | d34c586d78b7c46bcb349a023a3441514872d4ed | [
"MIT"
] | null | null | null | """NYC 311 Calendar API."""
from __future__ import annotations
import logging
__version__ = "v0.4"
log = logging.getLogger(__name__)
| 35.487738 | 248 | 0.557125 | """NYC 311 Calendar API."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import date
from datetime import datetime
from datetime import timedelta
from enum import Enum
import logging
import aiohttp
from nyc311calendar.services import Parking
from nyc311calendar.services import Sa... | 0 | 3,205 | 7,854 | 1,152 | 0 | 0 | 0 | 226 | 447 |
152c41e86c139479e0885fc6932483535d7e9ae4 | 424 | py | Python | traffic_monitor/migrations/0010_auto_20200915_0115.py | mcdomx/monitor | 55082a3ea985224b819e4e2b7e13f44e70ac0b74 | [
"MIT"
] | 1 | 2020-09-23T14:36:30.000Z | 2020-09-23T14:36:30.000Z | traffic_monitor/migrations/0010_auto_20200915_0115.py | mcdomx/monitor | 55082a3ea985224b819e4e2b7e13f44e70ac0b74 | [
"MIT"
] | 3 | 2021-09-08T02:32:20.000Z | 2022-03-12T00:49:29.000Z | traffic_monitor/migrations/0010_auto_20200915_0115.py | mcdomx/monitor | 55082a3ea985224b819e4e2b7e13f44e70ac0b74 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-09-15 01:15
| 22.315789 | 68 | 0.634434 | # Generated by Django 3.1.1 on 2020-09-15 01:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('traffic_monitor', '0009_monitor_detector_sleep_throttle'),
]
operations = [
migrations.AlterField(
model_name='monitor',
... | 0 | 0 | 0 | 310 | 0 | 0 | 0 | 19 | 46 |
a7cd484b213c5d28189470f9ac0948f312244ea2 | 392 | py | Python | Problems/LeetCode/217-ContainsDuplicate.py | bvlqz/code | 2908aaf1b83391aaf9d8012888766151b7aa404b | [
"MIT"
] | null | null | null | Problems/LeetCode/217-ContainsDuplicate.py | bvlqz/code | 2908aaf1b83391aaf9d8012888766151b7aa404b | [
"MIT"
] | null | null | null | Problems/LeetCode/217-ContainsDuplicate.py | bvlqz/code | 2908aaf1b83391aaf9d8012888766151b7aa404b | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/contains-duplicate/
| 23.058824 | 51 | 0.469388 | # https://leetcode.com/problems/contains-duplicate/
class Solution(object):
def containsDuplicate(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
hashmap = {}
for num in nums:
if num in hashmap:
return True
else:
... | 0 | 0 | 0 | 305 | 0 | 0 | 0 | 0 | 23 |
93db3adffb4df3438a37f2afd5aab9a38af98dc5 | 419 | py | Python | PicImageSearch/__init__.py | Coder-Sakura/PicImageSearch | f947d0aa5648f39763f35295e7d67b9ec2eecca8 | [
"MIT"
] | null | null | null | PicImageSearch/__init__.py | Coder-Sakura/PicImageSearch | f947d0aa5648f39763f35295e7d67b9ec2eecca8 | [
"MIT"
] | null | null | null | PicImageSearch/__init__.py | Coder-Sakura/PicImageSearch | f947d0aa5648f39763f35295e7d67b9ec2eecca8 | [
"MIT"
] | null | null | null |
__author__ = "kitUIN"
__license__ = "MIT License"
__contributors__ = ["kitUIN", "lleans", "chinoll", "NekoAria"]
__email__ = "kulujun@gmail.com"
| 22.052632 | 62 | 0.735084 | from .ascii2d import Ascii2D
from .Async import *
from .baidu import BaiDu
from .google import Google
from .iqdb import Iqdb
from .saucenao import SauceNAO
from .tracemoe import (
TraceMoe,
TraceMoeAnilist,
TraceMoeMe,
TraceMoeNorm,
TraceMoeResponse,
)
__author__ = "kitUIN"
__license__ = "MIT Licen... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 154 |
28f789dd413a4c18c704650f20ff868e730364e3 | 372 | py | Python | AdventOfCode_14_1.py | Trapper007/A-beautiful-code-in-Python | 80c4209a7f74e5693b576fe636f667b7195e8b5f | [
"MIT"
] | 1 | 2019-03-02T19:57:25.000Z | 2019-03-02T19:57:25.000Z | AdventOfCode_14_1.py | Trapper007/A-beautiful-code-in-Python | 80c4209a7f74e5693b576fe636f667b7195e8b5f | [
"MIT"
] | null | null | null | AdventOfCode_14_1.py | Trapper007/A-beautiful-code-in-Python | 80c4209a7f74e5693b576fe636f667b7195e8b5f | [
"MIT"
] | null | null | null | import time
start = time.perf_counter()
receips = '37'
von = 509671
bis = von + 10
elf1, elf2 = 0,1
for i in range(bis):
score = int(receips[elf1]) + int(receips[elf2])
receips += str(score)
lr = len(receips)
elf1 = (elf1 + int(receips[elf1])+ 1) % lr
elf2 = (elf2 + int(receips[elf2])+ 1) % lr
print(r... | 19.578947 | 49 | 0.63172 | import time
start = time.perf_counter()
receips = '37'
von = 509671
bis = von + 10
elf1, elf2 = 0,1
for i in range(bis):
score = int(receips[elf1]) + int(receips[elf2])
receips += str(score)
lr = len(receips)
elf1 = (elf1 + int(receips[elf1])+ 1) % lr
elf2 = (elf2 + int(receips[elf2])+ 1) % lr
print(r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6295ec734f390a221241926822cf5e28aefa8cba | 739 | py | Python | src/atcoder/abc030/c/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 1 | 2021-07-11T03:20:10.000Z | 2021-07-11T03:20:10.000Z | src/atcoder/abc030/c/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 39 | 2021-07-10T05:21:09.000Z | 2021-12-15T06:10:12.000Z | src/atcoder/abc030/c/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | null | null | null |
main() | 17.186047 | 56 | 0.514208 | import typing
import sys
import numpy as np
import numba as nb
@nb.njit((nb.i8, nb.i8, nb.i8[:], nb.i8[:]), cache=True)
def solve(
x: int,
y: int,
a: np.ndarray,
b: np.ndarray,
) -> typing.NoReturn:
n, m = len(a), len(b)
t = 0
cnt = 0
i = j = 0
while True:
while i < n and a[i] < t: i += 1... | 0 | 370 | 0 | 0 | 0 | 247 | 0 | -25 | 137 |
00584a9365e7c5ed315adc5f133b60601b132525 | 1,124 | py | Python | imgur.py | chrispwns/CLimgur | 88067613a2402bd57a98dd850f9afcff9faa4d89 | [
"MIT"
] | null | null | null | imgur.py | chrispwns/CLimgur | 88067613a2402bd57a98dd850f9afcff9faa4d89 | [
"MIT"
] | null | null | null | imgur.py | chrispwns/CLimgur | 88067613a2402bd57a98dd850f9afcff9faa4d89 | [
"MIT"
] | null | null | null | import argparse
import os
from credentials import get, set
from upload import upload
def main():
"""
get command line options and upload the file(s) accordingly
:return: None
"""
parser = argparse.ArgumentParser()
options = parser.add_mutually_exclusive_group()
options.add_arg... | 31.222222 | 102 | 0.651246 | import argparse
import os
from credentials import get, set
from upload import upload
def main():
"""
get command line options and upload the file(s) accordingly
:return: None
"""
parser = argparse.ArgumentParser()
options = parser.add_mutually_exclusive_group()
options.add_arg... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fb599016f8722c293bf9ec3a554475aa2b959f18 | 174 | py | Python | run.py | lijingui2010/ProxyPool | 3d4f732c8305458fb26619b67c617313afbea605 | [
"Apache-2.0"
] | null | null | null | run.py | lijingui2010/ProxyPool | 3d4f732c8305458fb26619b67c617313afbea605 | [
"Apache-2.0"
] | null | null | null | run.py | lijingui2010/ProxyPool | 3d4f732c8305458fb26619b67c617313afbea605 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
if __name__ == '__main__':
main()
| 11.6 | 39 | 0.591954 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from proxypool.schedule import Schedule
def main():
s = Schedule()
s.run()
if __name__ == '__main__':
main()
| 0 | 0 | 0 | 0 | 0 | 21 | 0 | 18 | 46 |
e0edd158e303079b903487fb1bb3457afbac7308 | 3,670 | py | Python | Participants/triple-dungeon/tests.py | python-discord/game-jam-2020 | cdcb1c2c9246825518a29b05cc39a679b36d666e | [
"MIT"
] | 15 | 2020-04-17T12:02:14.000Z | 2022-03-16T03:01:34.000Z | triple-dungeon/tests.py | n0remac/game-jam-2020 | 1a80bd538cf3221a6f15cc9e56d17d17720e8d03 | [
"MIT"
] | 18 | 2020-04-18T07:01:02.000Z | 2020-10-31T12:13:48.000Z | triple-dungeon/tests.py | n0remac/game-jam-2020 | 1a80bd538cf3221a6f15cc9e56d17d17720e8d03 | [
"MIT"
] | 55 | 2020-04-17T12:01:11.000Z | 2021-12-28T10:14:02.000Z | """
tests.py
A file dedicated to testing our game and ensuring it can run.
Integrate this into your IDE's workflow to ensure the game runs from top to bottom.
The tests used here should test all of our game's features as best they can.
"""
| 27.185185 | 95 | 0.571662 | """
tests.py
A file dedicated to testing our game and ensuring it can run.
Integrate this into your IDE's workflow to ensure the game runs from top to bottom.
The tests used here should test all of our game's features as best they can.
"""
import pytest
from typing import Pattern, List
class TestGame:
"""
T... | 0 | 1,504 | 0 | 1,757 | 0 | 0 | 0 | 3 | 161 |
a2c9b8e0ec74db319bbcc2c4933fbffa9c1d9f46 | 5,676 | py | Python | fingerprint/server/server.py | ghoshishan/comp-sec | f1bec8fc68814bc421337069e58a67447baf2a89 | [
"MIT"
] | null | null | null | fingerprint/server/server.py | ghoshishan/comp-sec | f1bec8fc68814bc421337069e58a67447baf2a89 | [
"MIT"
] | null | null | null | fingerprint/server/server.py | ghoshishan/comp-sec | f1bec8fc68814bc421337069e58a67447baf2a89 | [
"MIT"
] | null | null | null |
import server.dbhandler as dbhandler
| 35.254658 | 96 | 0.633897 | import json
import logging
import pathlib
from phe import paillier, EncryptedNumber, PaillierPublicKey
import server.dbhandler as dbhandler
class Server():
"""
Implements functionality related to cloud biometric storage and processing.
Return values to the client:
store_template():
... | 0 | 0 | 0 | 5,510 | 0 | 0 | 0 | 15 | 112 |
9d0eabb05c63acbbe873538689cef1f4401e916d | 196 | py | Python | ex021.py | jefernathan/Python | 2f840a625e8d46d41ab36df07ef50ae15a03c5ab | [
"MIT"
] | null | null | null | ex021.py | jefernathan/Python | 2f840a625e8d46d41ab36df07ef50ae15a03c5ab | [
"MIT"
] | null | null | null | ex021.py | jefernathan/Python | 2f840a625e8d46d41ab36df07ef50ae15a03c5ab | [
"MIT"
] | null | null | null | # Faa um programa em Python que abra e reproduza o udio de um arquivo MP3.
from pygame import mixer # pip3 install pygame
mixer.init()
mixer.music.load('ex021.ogg')
mixer.music.play()
input()
| 21.777778 | 76 | 0.75 | # Faça um programa em Python que abra e reproduza o áudio de um arquivo MP3.
from pygame import mixer # pip3 install pygame
mixer.init()
mixer.music.load('ex021.ogg')
mixer.music.play()
input()
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4f02c85f8c577d5e5aacb66bd08e0065f5306739 | 2,884 | py | Python | reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py | rituraj17/amazon-sagemaker-examples | b435bb2efb9d94da0cca64d007b44e75dc1675e3 | [
"Apache-2.0"
] | 4 | 2018-12-03T08:14:15.000Z | 2019-01-25T04:06:20.000Z | reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py | ragavvenkatesan/amazon-sagemaker-examples | 555e84714d8004210bf8bbf254313a021bb2372e | [
"Apache-2.0"
] | null | null | null | reinforcement_learning/rl_traveling_salesman_vehicle_routing_coach/src/evaluate-coach.py | ragavvenkatesan/amazon-sagemaker-examples | 555e84714d8004210bf8bbf254313a021bb2372e | [
"Apache-2.0"
] | 2 | 2019-01-03T04:52:53.000Z | 2019-01-13T06:46:51.000Z | import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
# consumes the hyper-parameters
parser.add_argument('--bucket_name', type=str)
parser.add_argument('--input_data_dir', type=str, default='/opt/ml/input/data/')
parser.add_argument('--output_data_dir', type=str, defaul... | 41.797101 | 115 | 0.755895 | from rl_coach.agents.clipped_ppo_agent import ClippedPPOAgentParameters
from rl_coach.environments.gym_environment import GymVectorEnvironment
from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
from rl_coach.graph_managers.graph_manager import ScheduleParameters
from rl_coach.base_parameters... | 0 | 0 | 0 | 0 | 0 | 1,887 | 0 | 315 | 267 |
bb2c4d24e323fbe9a91177fedb196262bb2b4c3e | 2,070 | py | Python | models.py | byCM/Project-5 | f504687819ee8e3a041fad4c8978803e095a6844 | [
"BSD-3-Clause"
] | null | null | null | models.py | byCM/Project-5 | f504687819ee8e3a041fad4c8978803e095a6844 | [
"BSD-3-Clause"
] | null | null | null | models.py | byCM/Project-5 | f504687819ee8e3a041fad4c8978803e095a6844 | [
"BSD-3-Clause"
] | null | null | null |
DATABASE = SqliteDatabase('journal.db')
| 26.202532 | 65 | 0.579227 | import datetime
from flask.ext.bcrypt import generate_password_hash
from flask.ext.login import UserMixin
from peewee import *
DATABASE = SqliteDatabase('journal.db')
class User(UserMixin, Model):
username = CharField(unique=True)
email = CharField(unique=True)
password = CharField(max_length=100)
jo... | 0 | 757 | 0 | 966 | 0 | 92 | 0 | 39 | 169 |
b70c025efaaeacb71bccea9b6bad94e23f08c8b4 | 5,662 | py | Python | admin/tests/test_restriction_areas.py | vvmruder/c2cgeoportal | 2aa1cfbfa3872fb745db6dae1e0c4ae9a0692542 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | admin/tests/test_restriction_areas.py | vvmruder/c2cgeoportal | 2aa1cfbfa3872fb745db6dae1e0c4ae9a0692542 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | admin/tests/test_restriction_areas.py | vvmruder/c2cgeoportal | 2aa1cfbfa3872fb745db6dae1e0c4ae9a0692542 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # pylint: disable=no-self-use
| 39.873239 | 107 | 0.651713 | # pylint: disable=no-self-use
import json
import pytest
import re
from geoalchemy2.shape import from_shape
from shapely.geometry import box, Polygon, shape
from . import AbstractViewsTests
@pytest.fixture(scope='function')
@pytest.mark.usefixtures('dbsession', 'transact')
def restriction_area_test_data(dbsession, ... | 0 | 5,422 | 0 | 0 | 0 | 0 | 0 | 27 | 180 |
44ce39ef5ce4e2fb2f3af39ce433a9ebd41b5670 | 3,293 | py | Python | paper_updater/paper_updater.py | abnormalend/minecraft_aws_tools | 1db289d6d4d266798fda795487fc3725189f430b | [
"MIT"
] | null | null | null | paper_updater/paper_updater.py | abnormalend/minecraft_aws_tools | 1db289d6d4d266798fda795487fc3725189f430b | [
"MIT"
] | null | null | null | paper_updater/paper_updater.py | abnormalend/minecraft_aws_tools | 1db289d6d4d266798fda795487fc3725189f430b | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
import boto3
from os import listdir
from os.path import isfile, join
import re
def install_paper(mc_version, paper_build):
"""This will download the paper jar"""
url = "https://papermc.io/api/v2/projects/paper"
mc_version = requests.get(url).json()['versions'][-1] if mc_... | 43.906667 | 186 | 0.697844 | #!/usr/bin/python3
import requests
import boto3
from os import listdir
from os.path import isfile, join
import re
def install_paper(mc_version, paper_build):
"""This will download the paper jar"""
url = "https://papermc.io/api/v2/projects/paper"
mc_version = requests.get(url).json()['versions'][-1] if mc_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e07abf23c0b702a9441d51f706497dd10bcfb0b2 | 158 | py | Python | python/core/poccore/simple.py | xmnlab/poc-multi-api | 0b7814ed16c885aa63a8c63829e503879aab6837 | [
"MIT"
] | null | null | null | python/core/poccore/simple.py | xmnlab/poc-multi-api | 0b7814ed16c885aa63a8c63829e503879aab6837 | [
"MIT"
] | null | null | null | python/core/poccore/simple.py | xmnlab/poc-multi-api | 0b7814ed16c885aa63a8c63829e503879aab6837 | [
"MIT"
] | 1 | 2022-03-23T04:48:51.000Z | 2022-03-23T04:48:51.000Z | from __future__ import annotations
| 22.571429 | 49 | 0.696203 | from __future__ import annotations
def avg_list(values: list) -> float | int | None:
size = len(values)
return sum(values) / size if size else None
| 0 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 23 |
16d9c7495eec1e0c8a647e37e4e6440ea07a3d42 | 7,176 | py | Python | python/py_diff_pd/env/duck_env_3d.py | brokencuph/diff_pd | 2c30ecfa39762c5fc78dea9c7a226000e9fc5c15 | [
"MIT"
] | 4 | 2022-03-11T20:13:17.000Z | 2022-03-31T00:49:59.000Z | python/py_diff_pd/env/duck_env_3d.py | brokencuph/diff_pd | 2c30ecfa39762c5fc78dea9c7a226000e9fc5c15 | [
"MIT"
] | null | null | null | python/py_diff_pd/env/duck_env_3d.py | brokencuph/diff_pd | 2c30ecfa39762c5fc78dea9c7a226000e9fc5c15 | [
"MIT"
] | 2 | 2022-03-11T20:13:24.000Z | 2022-03-12T03:38:46.000Z | from py_diff_pd.common.project_path import root_path
| 39.866667 | 103 | 0.578038 | import time
from pathlib import Path
import numpy as np
import os
from py_diff_pd.env.env_base import EnvBase
from py_diff_pd.common.common import create_folder, ndarray, print_info
from py_diff_pd.common.tet_mesh import tetrahedralize, read_tetgen_file, generate_tet_mesh, tet2obj
from py_diff_pd.common.tri_mesh impo... | 0 | 0 | 0 | 6,452 | 0 | 0 | 0 | 360 | 311 |
965fae10a84a055b5ea1a275c65d5f8c61898dea | 5,483 | py | Python | core_functionality/tree_generation.py | yT0n1/D3MEAP-Projekt | 138a10da2eba7b57d79a7b051f687652c1e05f86 | [
"BSD-Source-Code"
] | null | null | null | core_functionality/tree_generation.py | yT0n1/D3MEAP-Projekt | 138a10da2eba7b57d79a7b051f687652c1e05f86 | [
"BSD-Source-Code"
] | null | null | null | core_functionality/tree_generation.py | yT0n1/D3MEAP-Projekt | 138a10da2eba7b57d79a7b051f687652c1e05f86 | [
"BSD-Source-Code"
] | null | null | null |
if __name__ == '__main__':
trees_8 = [approximate_tree(6,2),approximate_tree(6,3), approximate_tree(6,4),
approximate_tree(6,5),
prime_factor_tree(6,True), prime_factor_tree(6,False), one_vs_all_split(6),
one_split_tree(6)]
for tree in trees_8:
d... | 34.702532 | 100 | 0.638884 | import functools
import operator
from statistics import mean
import math
from anytree import LevelOrderIter, RenderTree, DoubleStyle
from anytree.exporter import DotExporter
from sympy.ntheory import factorint
from core_functionality.solver_node import SolverNode
def add_split_ratios(root: SolverNode):
[node.se... | 0 | 0 | 0 | 0 | 0 | 4,568 | 0 | 88 | 477 |
aace844a7e6eb350de4791c2e075aba9b776e445 | 1,312 | py | Python | workflow/migrations/0030_auto_20180907_0704.py | sannleen/TolaActivity | b47154339c3a45583063ecad43b0b16ae2f8f36e | [
"Apache-2.0"
] | null | null | null | workflow/migrations/0030_auto_20180907_0704.py | sannleen/TolaActivity | b47154339c3a45583063ecad43b0b16ae2f8f36e | [
"Apache-2.0"
] | null | null | null | workflow/migrations/0030_auto_20180907_0704.py | sannleen/TolaActivity | b47154339c3a45583063ecad43b0b16ae2f8f36e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2018-09-07 14:04
from __future__ import unicode_literals
| 35.459459 | 234 | 0.682927 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2018-09-07 14:04
from __future__ import unicode_literals
import django.contrib.postgres.fields.hstore
from django.db import migrations
from django.db.utils import ProgrammingError
def create_fields(apps, schema_editor):
# If fields are not there, add them. ... | 0 | 0 | 0 | 165 | 0 | 862 | 0 | 57 | 113 |
b38399eca97c3af45e2e3f94f974bfee6c0723a3 | 243 | py | Python | src/tf_components/visualization/clip_uint8.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 59 | 2020-10-28T03:09:05.000Z | 2022-01-29T22:10:04.000Z | src/tf_components/visualization/clip_uint8.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 4 | 2020-12-24T11:00:40.000Z | 2021-05-22T06:14:27.000Z | src/tf_components/visualization/clip_uint8.py | YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | [
"MIT"
] | 2 | 2020-10-29T01:15:03.000Z | 2021-04-20T11:55:51.000Z | import tensorflow as tf
def clip_uint8(im_in):
'''
clips a float value between 0 and 255 and casts to uint8
'''
with tf.variable_scope(None,default_name='clip_uint8'):
im = tf.clip_by_value(im_in, 0, 255)
return tf.cast(im, tf.uint8)
| 24.3 | 57 | 0.72428 | import tensorflow as tf
def clip_uint8(im_in):
'''
clips a float value between 0 and 255 and casts to uint8
'''
with tf.variable_scope(None,default_name='clip_uint8'):
im = tf.clip_by_value(im_in, 0, 255)
return tf.cast(im, tf.uint8)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
63002ce1ff3038ce8ac0dd5d1bea693d67e52bcf | 4,899 | py | Python | tests/python/xgboost/05_FraudDetection_GPU.py | cclauss/h2o4gpu | 1bb161694ce67500383b7b3a542b349aa13ed7fe | [
"Apache-2.0"
] | null | null | null | tests/python/xgboost/05_FraudDetection_GPU.py | cclauss/h2o4gpu | 1bb161694ce67500383b7b3a542b349aa13ed7fe | [
"Apache-2.0"
] | null | null | null | tests/python/xgboost/05_FraudDetection_GPU.py | cclauss/h2o4gpu | 1bb161694ce67500383b7b3a542b349aa13ed7fe | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
:copyright: 2017-2018 H2O.ai, Inc.
:license: Apache License Version 2.0 (see LICENSE for details)
"""
# # Experiment 05: Credit card Fraud (GPU version)
#
# This experiment uses the data from the Kaggle dataset [Credit Card Fraud Detection](https://www.kaggle.com/dalpozz/creditcardfraud). The dat... | 18.077491 | 224 | 0.684221 | # coding: utf-8
"""
:copyright: 2017-2018 H2O.ai, Inc.
:license: Apache License Version 2.0 (see LICENSE for details)
"""
# # Experiment 05: Credit card Fraud (GPU version)
#
# This experiment uses the data from the Kaggle dataset [Credit Card Fraud Detection](https://www.kaggle.com/dalpozz/creditcardfraud). The dat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 23 |
e11e8e6035a55dc0f762b22093fc412f27524ef8 | 1,002 | py | Python | setup.py | ronin-gw/cqstat | 44333c1904134358d1c54f03a68cd33b12f43b2a | [
"MIT"
] | 2 | 2018-04-14T09:09:53.000Z | 2020-03-16T09:41:00.000Z | setup.py | ronin-gw/cqstat | 44333c1904134358d1c54f03a68cd33b12f43b2a | [
"MIT"
] | null | null | null | setup.py | ronin-gw/cqstat | 44333c1904134358d1c54f03a68cd33b12f43b2a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from os import path
from setuptools import setup
with open(path.join(path.dirname(__file__), "README.rst")) as f:
readme = f.read()
setup(
name="cqstat",
version="1.0.0",
description="A colorful command line tool substitutes for Grid Engine qstat command",
long_description=r... | 28.628571 | 89 | 0.623752 | #!/usr/bin/env python
from os import path
from setuptools import setup
with open(path.join(path.dirname(__file__), "README.rst")) as f:
readme = f.read()
setup(
name="cqstat",
version="1.0.0",
description="A colorful command line tool substitutes for Grid Engine qstat command",
long_description=r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32dc22f4e3c16a0278bb7582299d84a2f85d06da | 2,555 | py | Python | _app/list_fields.py | Wilfongjt/lb-data | eca16bcec6cae5822146dfce8ea56e5f533c7f87 | [
"MIT"
] | null | null | null | _app/list_fields.py | Wilfongjt/lb-data | eca16bcec6cae5822146dfce8ea56e5f533c7f87 | [
"MIT"
] | 6 | 2020-04-15T10:15:30.000Z | 2020-07-10T16:12:42.000Z | _app/list_fields.py | Wilfongjt/lb-data | eca16bcec6cae5822146dfce8ea56e5f533c7f87 | [
"MIT"
] | null | null | null |
'''
common lists of fields
getFields is all fields in table
'''
if __name__ == "__main__":
main() | 42.583333 | 125 | 0.592172 | from pathlib import Path
from context_dict import ContextDict
from pprint import pprint
'''
common lists of fields
getFields is all fields in table
'''
class FieldList(list):
def __init__(self, tbl_dictionary, test_list=[]):
self.tbl_dictionary = tbl_dictionary
self.test_list = test_list
... | 0 | 0 | 0 | 868 | 0 | 1,448 | 0 | 22 | 112 |
97fcddf59fc7a873b57616f4f62ce172821bdab4 | 3,783 | py | Python | src/app.py | pralphv/hkportfolioanalysis-backend | 6dbf6f17e6ebd95e28ee042126b34408dde4f520 | [
"MIT"
] | null | null | null | src/app.py | pralphv/hkportfolioanalysis-backend | 6dbf6f17e6ebd95e28ee042126b34408dde4f520 | [
"MIT"
] | 1 | 2021-03-31T19:44:25.000Z | 2021-03-31T19:44:25.000Z | src/app.py | pralphv/hkportfolioanalysis-backend | 6dbf6f17e6ebd95e28ee042126b34408dde4f520 | [
"MIT"
] | 1 | 2020-11-27T17:56:38.000Z | 2020-11-27T17:56:38.000Z | import logging
import os
from dotenv import load_dotenv
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
load_dotenv()
send_slack_msg('HKPORTFOLIOANALYSIS BACKEND has been initiated')
logging.basicConfig(level=logging.INFO, format="%(asctime)s:%(levelname)s: %(message)s")
LAST_CACHE... | 28.877863 | 96 | 0.663759 | from datetime import datetime, time
import logging
import json
import os
import requests
import traceback
from dotenv import load_dotenv
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from src import models
from src import data
from src import finance_stats
load_dotenv()
def send_sla... | 0 | 1,977 | 0 | 0 | 0 | 590 | 0 | 1 | 247 |
0fc95fa6d9d133629c0cae5b197980cb3d74544d | 1,033 | py | Python | main.py | Nandan-18/Validator | 1c148428d7183ce5ff13a90b611d21ba280c2ba6 | [
"MIT"
] | null | null | null | main.py | Nandan-18/Validator | 1c148428d7183ce5ff13a90b611d21ba280c2ba6 | [
"MIT"
] | null | null | null | main.py | Nandan-18/Validator | 1c148428d7183ce5ff13a90b611d21ba280c2ba6 | [
"MIT"
] | null | null | null |
# Main Program
import validate
print("""
---------------------------------------------------
| MENU |
---------------------------------------------------
| 1. Generate a 4 digit OTP |
| 2. Generate a Captcha of... | 30.382353 | 80 | 0.332043 |
# Main Program
import validate
print("""
---------------------------------------------------
| MENU |
---------------------------------------------------
| 1. Generate a 4 digit OTP |
| 2. Generate a Captcha of... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06a2db0bc48e822702191bdf15744004cd1e9e57 | 7,428 | py | Python | tools/train_utils/kd_train_utilsv2.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null | tools/train_utils/kd_train_utilsv2.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null | tools/train_utils/kd_train_utilsv2.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null |
import torch
def compact_batch(tensor_list):
'''
Write some code to pad the teacher predicts....
'''
bs, ch, fix = tensor_list[0].shape
max_ch = ch
pad_tensor_list = []
for tensor in tensor_list:
if max_ch < tensor.shape[1]:
max_ch = tensor.shape[1]
for tensor ... | 38.092308 | 152 | 0.645396 | import glob
import os
import torch
import tqdm
import numpy as np
from torch.nn.utils import clip_grad_norm_
def compact_batch(tensor_list):
'''
Write some code to pad the teacher predicts....
'''
bs, ch, fix = tensor_list[0].shape
max_ch = ch
pad_tensor_list = []
for tensor in tensor_... | 0 | 0 | 0 | 0 | 0 | 6,595 | 0 | -14 | 248 |
80ee24721b08cf08f3111c7ddfe447b96cee264b | 5,199 | py | Python | src/datasets.py | mhilmiasyrofi/DeepConcolic | 87180ff4dafe5413f92cdd4839b087c5fb8a7f33 | [
"BSD-3-Clause"
] | null | null | null | src/datasets.py | mhilmiasyrofi/DeepConcolic | 87180ff4dafe5413f92cdd4839b087c5fb8a7f33 | [
"BSD-3-Clause"
] | null | null | null | src/datasets.py | mhilmiasyrofi/DeepConcolic | 87180ff4dafe5413f92cdd4839b087c5fb8a7f33 | [
"BSD-3-Clause"
] | null | null | null | # NB: do NOT import utils as this disables eager execution that seems
# to be required for proper operations of `tf.summary`.
import os
# ---
default_datadir = os.getenv ('DC_DATADIR') or \
os.getenv ('TMPDIR', default = '/tmp') + '/sklearn_data'
image_kinds = set (('image', 'greyscale_image',))
no... | 39.687023 | 111 | 0.612425 | # NB: do NOT import utils as this disables eager execution that seems
# to be required for proper operations of `tf.summary`.
import os
import tensorflow as tf
import numpy as np
from sklearn.model_selection import train_test_split
# ---
default_datadir = os.getenv ('DC_DATADIR') or \
os.getenv ('TM... | 0 | 0 | 0 | 0 | 0 | 4,076 | 0 | 62 | 246 |
36407867a0511a19c71db75ca6674120653ca797 | 549 | py | Python | recipes/Python/576823_Prints_full_name_all_occurrences_given_filename_/recipe-576823.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/576823_Prints_full_name_all_occurrences_given_filename_/recipe-576823.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/576823_Prints_full_name_all_occurrences_given_filename_/recipe-576823.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | """Prints full name of all occurrences of given filename in your PATH.
Usage: findinpath.py filename"""
import sys
if __name__ == '__main__':
sys.exit(main())
| 20.333333 | 70 | 0.595628 | """Prints full name of all occurrences of given filename in your PATH.
Usage: findinpath.py filename"""
import os
import sys
def main():
if len(sys.argv) < 2:
print __doc__
return 2
filename = sys.argv[1]
status = 1
sep = ';' if sys.platform == 'win32' else ':'
for path in os.en... | 0 | 0 | 0 | 0 | 0 | 350 | 0 | -12 | 46 |
8ac8892a88323ab858f7b429e11a4795b84f7c8a | 711 | py | Python | elevenclock/globals.py | kinr0k/ElevenClock | f52fdc024491e16c266af2710f9012a2dd6927a7 | [
"Apache-2.0"
] | null | null | null | elevenclock/globals.py | kinr0k/ElevenClock | f52fdc024491e16c266af2710f9012a2dd6927a7 | [
"Apache-2.0"
] | null | null | null | elevenclock/globals.py | kinr0k/ElevenClock | f52fdc024491e16c266af2710f9012a2dd6927a7 | [
"Apache-2.0"
] | null | null | null | import io
app: QApplication = None
buffer: io.StringIO = None
old_stdout: io.StringIO = None
trayIcon: QSystemTrayIcon = None
sw: QScrollArea = None
tempDir: str = None
| 23.7 | 80 | 0.763713 | import io
from types import FunctionType
from PySide2.QtGui import *
from PySide2.QtCore import *
from PySide2.QtWidgets import *
def loadTimeFormat():
raise NotImplementedError("loadTimeFormat function has not been defined!")
def updateIfPossible():
raise NotImplementedError("updateIfPossible function has... | 0 | 0 | 0 | 0 | 0 | 312 | 0 | 32 | 189 |
ec03486350601be93a93d2185352a42728bc4237 | 5,680 | py | Python | dev/google_communicator/worker.py | dapatil211/deep_architect | feadfb545d166216e27532ea47e8efa178e0d142 | [
"MIT"
] | 272 | 2017-05-01T08:14:15.000Z | 2022-02-02T15:21:24.000Z | dev/google_communicator/worker.py | dapatil211/deep_architect | feadfb545d166216e27532ea47e8efa178e0d142 | [
"MIT"
] | 16 | 2017-09-25T02:19:40.000Z | 2022-02-10T00:37:09.000Z | dev/google_communicator/worker.py | dapatil211/deep_architect | feadfb545d166216e27532ea47e8efa178e0d142 | [
"MIT"
] | 35 | 2017-05-10T14:39:40.000Z | 2021-01-17T10:09:34.000Z | import deep_architect.utils as ut
from google.cloud import pubsub_v1
import logging
logging.basicConfig()
publisher = pubsub_v1.PublisherClient()
subscriber = pubsub_v1.SubscriberClient()
results_topic = None
arch_subscription = None
specified = False
evaluated = False
arch_data = None
started = False
if __name... | 32.272727 | 112 | 0.602113 | import argparse
import pickle
import json
import time
import threading
import pprint
import deep_architect.utils as ut
from google.cloud import pubsub_v1
from deep_architect.contrib.misc.datasets.loaders import (load_cifar10,
load_mnist)
from deep_architect.con... | 0 | 0 | 0 | 0 | 0 | 4,489 | 0 | 438 | 404 |
6da44c69fddd3660960a30116a68e21ca2c73ed2 | 337 | py | Python | 2020/05-seccon4b/rev-mask/sol.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 25 | 2019-03-06T11:55:56.000Z | 2021-05-21T22:07:14.000Z | 2020/05-seccon4b/rev-mask/sol.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 1 | 2020-06-25T07:27:15.000Z | 2020-06-25T07:27:15.000Z | 2020/05-seccon4b/rev-mask/sol.py | wani-hackase/wani-writeup | dd4ad0607d2f2193ad94c1ce65359294aa591681 | [
"MIT"
] | 1 | 2019-02-14T00:42:28.000Z | 2019-02-14T00:42:28.000Z | import angr
import claripy
project = angr.Project("./mask")
argv1 = claripy.BVS("argv1",100*8)
initial_state = project.factory.entry_state(args=["./mask",argv1])
sm = project.factory.simulation_manager(initial_state)
sm.explore(find=0x4012d6)
found = sm.found[0]
solution = found.solver.eval(argv1, cast_to=bytes)
print... | 28.083333 | 66 | 0.765579 | import angr
import claripy
project = angr.Project("./mask")
argv1 = claripy.BVS("argv1",100*8)
initial_state = project.factory.entry_state(args=["./mask",argv1])
sm = project.factory.simulation_manager(initial_state)
sm.explore(find=0x4012d6)
found = sm.found[0]
solution = found.solver.eval(argv1, cast_to=bytes)
print... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e73584a958e92931104e842e71cf07417d8fe8d1 | 2,123 | py | Python | Plugins/Aspose.BarCode Java for Jython/asposebarcode/WorkingWithBarcode/UtilityFeatures/CodeText.py | aspose-barcode/Aspose.BarCode-for-Java | 00a0ef02cb58fda84b47939f7f8c0e2e5ca9fb65 | [
"MIT"
] | 10 | 2016-05-09T07:05:51.000Z | 2019-05-22T07:31:49.000Z | Plugins/Aspose.BarCode Java for Jython/asposebarcode/WorkingWithBarcode/UtilityFeatures/CodeText.py | aspose-barcode/Aspose.BarCode-for-Java | 00a0ef02cb58fda84b47939f7f8c0e2e5ca9fb65 | [
"MIT"
] | 3 | 2017-05-01T08:36:07.000Z | 2019-01-09T21:16:13.000Z | Plugins/Aspose.BarCode Java for Jython/asposebarcode/WorkingWithBarcode/UtilityFeatures/CodeText.py | aspose-barcode/Aspose.BarCode-for-Java | 00a0ef02cb58fda84b47939f7f8c0e2e5ca9fb65 | [
"MIT"
] | 14 | 2016-04-09T07:27:37.000Z | 2021-05-26T10:42:26.000Z |
if __name__ == '__main__':
CodeText() | 29.082192 | 83 | 0.66227 | from asposebarcode import Settings
from com.aspose.barcode import BarCodeBuilder
from com.aspose.barcode import Symbology
from com.aspose.barcode import CodeLocation
from com.aspose.barcode import BarCodeImageFormat
from java.awt import Color
class CodeText:
def __init__(self):
# Set appearance of... | 0 | 0 | 0 | 1,806 | 0 | 0 | 0 | 111 | 155 |
ddba732acdf4ef9caaeb7a5549b3b5239f2a356f | 919 | py | Python | thai2transformers/utils.py | modem888/thai2transformers | 04716ecb9a88c1b1ea08d63511265245d53b1eb9 | [
"Apache-2.0"
] | 64 | 2020-02-28T04:15:23.000Z | 2022-03-13T16:01:21.000Z | thai2transformers/utils.py | modem888/thai2transformers | 04716ecb9a88c1b1ea08d63511265245d53b1eb9 | [
"Apache-2.0"
] | 28 | 2021-01-27T04:43:30.000Z | 2022-01-26T10:27:47.000Z | thai2transformers/utils.py | modem888/thai2transformers | 04716ecb9a88c1b1ea08d63511265245d53b1eb9 | [
"Apache-2.0"
] | 17 | 2020-06-11T07:54:44.000Z | 2021-11-24T07:45:22.000Z | from typing import Dict, Union, List
def get_dict_val(root:Dict, keys:Union[str, List[str]]):
"""
Access a nested object in root by item sequence.
Args:
root: Dict
target object for accessing the value
keys: Union[str, Tuple[str, str]]
a key or a list of key (for n... | 24.837838 | 71 | 0.527748 | import operator
from functools import reduce
from typing import Tuple, Dict, Union, List
def get_dict_val(root:Dict, keys:Union[str, List[str]]):
"""
Access a nested object in root by item sequence.
Args:
root: Dict
target object for accessing the value
keys: Union[str, Tuple[... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 44 |
99125d4e0dedd2344f832eb145a95dc92be6d0fd | 432 | py | Python | gen_progs/are_anagram.py | kmad1729/python_notes | 8d94c504fcd9a1adf61788efc0fbe6e7513bbaf4 | [
"Unlicense"
] | null | null | null | gen_progs/are_anagram.py | kmad1729/python_notes | 8d94c504fcd9a1adf61788efc0fbe6e7513bbaf4 | [
"Unlicense"
] | null | null | null | gen_progs/are_anagram.py | kmad1729/python_notes | 8d94c504fcd9a1adf61788efc0fbe6e7513bbaf4 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
from collections import Counter
def are_anagrams(*args):
'return True if args are anagrams'
if len(args) < 2:
raise TypeError("expected 2 or more arguments")
c = Counter(args[0])
return all(c == Counter(a) for a in args[1:])
arg1 = "appel apple aplep leapp".split()
#pri... | 25.411765 | 65 | 0.659722 | #!/usr/bin/env python3
from collections import Counter
def are_anagrams(*args):
'return True if args are anagrams'
if len(args) < 2:
raise TypeError("expected 2 or more arguments")
c = Counter(args[0])
return all(c == Counter(a) for a in args[1:])
arg1 = "appel apple aplep leapp".split()
#pri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b8346220088348f5f4c59fadca6fb18df8090a6 | 2,475 | py | Python | src/menu/menu.py | KrbDevelopment/LCD-Matrix | f5064ace1bb42b7e8cacbf91434bf0064a6812a6 | [
"MIT"
] | null | null | null | src/menu/menu.py | KrbDevelopment/LCD-Matrix | f5064ace1bb42b7e8cacbf91434bf0064a6812a6 | [
"MIT"
] | null | null | null | src/menu/menu.py | KrbDevelopment/LCD-Matrix | f5064ace1bb42b7e8cacbf91434bf0064a6812a6 | [
"MIT"
] | null | null | null | import os
font_path = os.path.join('assets', 'Font.ttf') | 31.730769 | 126 | 0.64404 | from src.wrapper.sh1106 import Screen
from src.modules.clock_module import Module as ClockModule
from src.modules.temperature_module import Module as TemperatureModule
from PIL import Image, ImageDraw, ImageFont
import os
font_path = os.path.join('assets', 'Font.ttf')
class MenuItem:
def __init__(self, title, mod... | 0 | 0 | 0 | 2,137 | 0 | 0 | 0 | 124 | 157 |
195456e3400acb5aee9e58c89dd74b7d13410202 | 665 | py | Python | tasks/python3/util.py | greck2908/worldview | d17c463080218ce0a3d922be3dc8da5152860391 | [
"NASA-1.3"
] | 592 | 2015-01-19T15:32:19.000Z | 2022-03-22T02:33:23.000Z | tasks/python3/util.py | katarenamatos/worldview | d98949a772eb19d99c14c4dc8128241ec9f72798 | [
"NASA-1.3"
] | 2,515 | 2016-01-05T17:20:04.000Z | 2022-03-30T15:56:46.000Z | tasks/python3/util.py | katarenamatos/worldview | d98949a772eb19d99c14c4dc8128241ec9f72798 | [
"NASA-1.3"
] | 208 | 2015-03-07T23:40:06.000Z | 2022-03-29T16:59:42.000Z |
# dict_merge from
# http://blog.impressiver.com/post/31434674390/deep-merge-multiple-python-dicts | 26.6 | 79 | 0.645113 | from copy import deepcopy
# dict_merge from
# http://blog.impressiver.com/post/31434674390/deep-merge-multiple-python-dicts
def dict_merge(target, *args):
# Merge multiple dicts
if len(args) > 1:
for obj in args:
dict_merge(target, obj)
return target
# Recursively merge dicts and set non-dict valu... | 0 | 0 | 0 | 0 | 0 | 519 | 0 | 4 | 44 |
f8b6bfc8ac13bb89cab24d2120e69c1251599616 | 63 | py | Python | cursoPy/main.py | joninhasmcz/newProjects | 3d8d329f36a6cdfe544ea3c70d4daf6618510c7d | [
"MIT"
] | null | null | null | cursoPy/main.py | joninhasmcz/newProjects | 3d8d329f36a6cdfe544ea3c70d4daf6618510c7d | [
"MIT"
] | null | null | null | cursoPy/main.py | joninhasmcz/newProjects | 3d8d329f36a6cdfe544ea3c70d4daf6618510c7d | [
"MIT"
] | null | null | null | frase = 'curso em video python'
print('{}'.format(frase[9:21])) | 31.5 | 31 | 0.666667 | frase = 'curso em video python'
print('{}'.format(frase[9:21])) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ea98d4ceea31a24d64f90ec7870a09620e86a15e | 512 | py | Python | tools/port-finder.py | EijiEternal/ddos-toolkit-sakura | b71d1e5b3431c9f24312605b3f6ac7868bd960e9 | [
"MIT"
] | 2 | 2021-01-20T15:11:51.000Z | 2022-03-31T07:33:21.000Z | tools/port-finder.py | EijiEternal/ddos-toolkit-sakura | b71d1e5b3431c9f24312605b3f6ac7868bd960e9 | [
"MIT"
] | null | null | null | tools/port-finder.py | EijiEternal/ddos-toolkit-sakura | b71d1e5b3431c9f24312605b3f6ac7868bd960e9 | [
"MIT"
] | null | null | null | from pip._vendor.distlib.compat import raw_input
import subprocess
import pyfiglet
pf = pyfiglet.figlet_format("S-PF", font="5lineoblique")
print(pf)
print("ip example 192.168.1.1")
ipadd = raw_input("Ip-Address" r"""-------->>>> """)
print("Port range example 20-40")
pr = raw_input("Port-range" r"""-----... | 22.26087 | 57 | 0.585938 | from pip._vendor.distlib.compat import raw_input
import subprocess
import pyfiglet
pf = pyfiglet.figlet_format("S-PF", font="5lineoblique")
print(pf)
print("ip example 192.168.1.1")
ipadd = raw_input("Ip-Address" r"""-------->>>> """)
print("Port range example 20-40")
pr = raw_input("Port-range" r"""-----... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b301f2fef09a7157e294444991d6968096a53b68 | 1,764 | py | Python | vec2graph/usage_realtime.py | lizaku/vec2graph | 337c73d6ae0c19284710fccb9a1d1b139ef6cfbd | [
"MIT"
] | 23 | 2019-06-29T20:27:52.000Z | 2022-02-12T08:39:52.000Z | vec2graph/usage_realtime.py | lizaku/vec2graph | 337c73d6ae0c19284710fccb9a1d1b139ef6cfbd | [
"MIT"
] | 5 | 2019-07-09T14:26:41.000Z | 2021-12-20T19:27:26.000Z | vec2graph/usage_realtime.py | lizaku/vec2graph | 337c73d6ae0c19284710fccb9a1d1b139ef6cfbd | [
"MIT"
] | 4 | 2020-05-12T15:55:35.000Z | 2021-09-19T14:54:39.000Z | #!/usr/bin/env python
import argparse
import logging
import os
import webbrowser
from example_usage import load_embeddings
from vec2graph import visualize
logging.basicConfig(
format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO
)
parser = argparse.ArgumentParser()
parser.add_argument(
"-m... | 26.727273 | 86 | 0.628118 | #!/usr/bin/env python
import argparse
import logging
import os
import webbrowser
from example_usage import load_embeddings
from vec2graph import visualize
logging.basicConfig(
format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO
)
parser = argparse.ArgumentParser()
parser.add_argument(
"-m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0f5c4f724bc0a9e005f10e32d01ea5dad0a16231 | 973 | py | Python | colections/stratify_dataset.py | vanducng/learning-spark | b7e93361b1ae37fbcd718c4d7034b8355b65fd94 | [
"MIT"
] | null | null | null | colections/stratify_dataset.py | vanducng/learning-spark | b7e93361b1ae37fbcd718c4d7034b8355b65fd94 | [
"MIT"
] | null | null | null | colections/stratify_dataset.py | vanducng/learning-spark | b7e93361b1ae37fbcd718c4d7034b8355b65fd94 | [
"MIT"
] | null | null | null | # Way 1
from pyspark.sql import functions as F
def stratified_split_train_test(df, frac, label, join_on, seed=42):
""" stratfied split of a dataframe in train and test set.
inspiration gotten from:
https://stackoverflow.com/a/47672336/1771155
https://stackoverflow.com/a/39889263/1771155"""
fractio... | 33.551724 | 98 | 0.720452 | # Way 1
from pyspark.sql import functions as F
def stratified_split_train_test(df, frac, label, join_on, seed=42):
""" stratfied split of a dataframe in train and test set.
inspiration gotten from:
https://stackoverflow.com/a/47672336/1771155
https://stackoverflow.com/a/39889263/1771155"""
fractio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8a756757db5f5a2c1ab33799cedb5c92d5153f89 | 2,366 | py | Python | scripts/makeelectrodes.py | flyingfalling/nvisutils | b1a36f2968c9e2bee323ac9e64081860b35ccd2b | [
"MIT"
] | null | null | null | scripts/makeelectrodes.py | flyingfalling/nvisutils | b1a36f2968c9e2bee323ac9e64081860b35ccd2b | [
"MIT"
] | null | null | null | scripts/makeelectrodes.py | flyingfalling/nvisutils | b1a36f2968c9e2bee323ac9e64081860b35ccd2b | [
"MIT"
] | null | null | null | #REV: read it, separate it, use freq to make timings ;)
#REV: convert from old 7-el to 49-el, pain in the butt.
#REV: assume I have 0, 2, 4, 6, 8, 10, 12, makes 7 electrodes, at 150 spacing ugh.
#REV: I *think* 0 is x=50, 2 is x=200, 4 is x=350, 6 is x=500
#REV: Just do single correlations, if right now electrodes go... | 25.717391 | 204 | 0.532544 | #REV: read it, separate it, use freq to make timings ;)
#REV: convert from old 7-el to 49-el, pain in the butt.
#REV: assume I have 0, 2, 4, 6, 8, 10, 12, makes 7 electrodes, at 150 spacing ugh.
#REV: I *think* 0 is x=50, 2 is x=200, 4 is x=350, 6 is x=500
#REV: Just do single correlations, if right now electrodes go... | 0 | 0 | 0 | 0 | 0 | 757 | 0 | 0 | 22 |
4a533f28e1d77428d3cc7befc42ad01e05e6f27d | 2,912 | py | Python | files/app.py | pnoj/judge-executor | 3b90c3f9da7c9a912cd40ded4abf409ebae15297 | [
"MIT"
] | null | null | null | files/app.py | pnoj/judge-executor | 3b90c3f9da7c9a912cd40ded4abf409ebae15297 | [
"MIT"
] | null | null | null | files/app.py | pnoj/judge-executor | 3b90c3f9da7c9a912cd40ded4abf409ebae15297 | [
"MIT"
] | null | null | null | from flask import Flask
app = Flask(__name__)
| 34.258824 | 160 | 0.637706 | import requests
from flask import Flask, request
import os
import info
import isolate
app = Flask(__name__)
@app.route('/')
def status():
executor_status = {
"language": info.language,
"status": config['status'],
}
return executor_status
@app.route('/compile', methods=["POST"])
def compi... | 0 | 2,709 | 0 | 0 | 0 | 0 | 0 | -26 | 181 |
bfd6b1e2de49c5421669e4fb87b28ce26ecd3f61 | 5,397 | py | Python | cogs/hl.py | achueves/AceBot | 30cce6206df49ddb18dc4af03c146a564f3594ea | [
"MIT"
] | 1 | 2021-09-04T04:52:13.000Z | 2021-09-04T04:52:13.000Z | cogs/hl.py | achueves/AceBot | 30cce6206df49ddb18dc4af03c146a564f3594ea | [
"MIT"
] | null | null | null | cogs/hl.py | achueves/AceBot | 30cce6206df49ddb18dc4af03c146a564f3594ea | [
"MIT"
] | null | null | null |
DELETE_EMOJI = '\N{Put Litter in Its Place Symbol}'
DEFAULT_LANG = 'py'
lang_converter = LangConverter(1, 32)
| 29.653846 | 112 | 0.699092 | import re
import disnake
from disnake.ext import commands
from ids import AHK_GUILD_ID
from cogs.mixins import AceMixin
from utils.context import is_mod
from utils.converters import LengthConverter
DELETE_EMOJI = '\N{Put Litter in Its Place Symbol}'
DEFAULT_LANG = 'py'
class LangConverter(LengthConverter):
async ... | 0 | 4,528 | 224 | 212 | 0 | 25 | 0 | 44 | 248 |
ab1858651821aadefadd0d2abb750bbdf4eb9e94 | 1,304 | py | Python | inference.py | hukefei/SOLO-master | fcc034470ea7b4dee39d6071d179695df8a3a61b | [
"BSD-2-Clause"
] | 2 | 2020-11-11T12:39:31.000Z | 2020-12-25T01:44:15.000Z | inference.py | hukefei/SOLO-master | fcc034470ea7b4dee39d6071d179695df8a3a61b | [
"BSD-2-Clause"
] | null | null | null | inference.py | hukefei/SOLO-master | fcc034470ea7b4dee39d6071d179695df8a3a61b | [
"BSD-2-Clause"
] | null | null | null | from mmdet.apis import init_detector, inference_detector, show_result_ins
import os, glob
config_file = 'cfg/aug_solov2_tuned.py'
# download the checkpoint from model zoo and put it in `checkpoints/`
checkpoint_file = 'work_dirs/solov2_tianchi_tuned.pth'
# build the model from a config file and a checkpoint file
mode... | 36.222222 | 93 | 0.706288 | from mmdet.apis import init_detector, inference_detector, show_result_pyplot, show_result_ins
import mmcv
import os, glob, time
config_file = 'cfg/aug_solov2_tuned.py'
# download the checkpoint from model zoo and put it in `checkpoints/`
checkpoint_file = 'work_dirs/solov2_tianchi_tuned.pth'
# build the model from a ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 22 |
f36bff001773a91726a85ac58fcc47dc05c722f7 | 690 | py | Python | sara_flexbe_states/src/sara_flexbe_states/SetKey.py | WalkingMachine/sara_behaviors | fcb55d274331915cd39d7d444546f17a39f85a44 | [
"BSD-3-Clause"
] | 5 | 2018-05-07T19:58:08.000Z | 2021-04-21T10:49:05.000Z | sara_flexbe_states/src/sara_flexbe_states/SetKey.py | WalkingMachine/sara_behaviors | fcb55d274331915cd39d7d444546f17a39f85a44 | [
"BSD-3-Clause"
] | 21 | 2017-05-26T01:20:06.000Z | 2021-01-26T23:03:36.000Z | sara_flexbe_states/src/sara_flexbe_states/SetKey.py | WalkingMachine/sara_behaviors | fcb55d274331915cd39d7d444546f17a39f85a44 | [
"BSD-3-Clause"
] | 2 | 2019-07-22T07:21:20.000Z | 2019-11-11T20:49:22.000Z | # !/usr/bin/env python
'''
Created on 21.09.2017
@author: Philippe La Madeleine
'''
| 19.166667 | 77 | 0.542029 | # !/usr/bin/env python
import rospy
from flexbe_core import EventState, Logger
'''
Created on 21.09.2017
@author: Philippe La Madeleine
'''
class SetKey(EventState):
'''
Set a Key to a predefined Value
-- Value object The desired value.
<# Key object The key to set.
<... | 0 | 0 | 0 | 524 | 0 | 0 | 0 | 12 | 68 |
2a35b3d501774ece5d4197fc8383e2d539d999ae | 1,001 | py | Python | chapter4_特征提取/C4_1_y_2.py | busyyang/python_sound_open | 91bc284f0ed538c1e8756a1a1475956191b4ae86 | [
"Apache-2.0"
] | 165 | 2020-06-10T03:39:17.000Z | 2022-03-28T08:37:32.000Z | chapter4_特征提取/C4_1_y_2.py | shangminghao/python_sound_open | 91bc284f0ed538c1e8756a1a1475956191b4ae86 | [
"Apache-2.0"
] | 3 | 2020-11-20T03:00:56.000Z | 2021-08-05T01:30:32.000Z | chapter4_特征提取/C4_1_y_2.py | shangminghao/python_sound_open | 91bc284f0ed538c1e8756a1a1475956191b4ae86 | [
"Apache-2.0"
] | 66 | 2020-06-02T01:57:24.000Z | 2022-03-16T07:54:59.000Z |
data, fs = soundBase('C4_1_y.wav').audioread()
data -= np.mean(data)
data /= np.max(data)
IS = 0.25
wlen = 200
inc = 80
N = len(data)
time = [i / fs for i in range(N)]
wnd = np.hamming(wlen)
NIS = int((IS * fs - wlen) // inc + 1)
thr1 = 1.1
thr2 = 1.3
voiceseg, vsl, SF, NF, Rum = vad_corr(data, wnd, inc, ... | 26.342105 | 71 | 0.601399 | from chapter2_基础.soundBase import *
from chapter4_特征提取.end_detection import *
data, fs = soundBase('C4_1_y.wav').audioread()
data -= np.mean(data)
data /= np.max(data)
IS = 0.25
wlen = 200
inc = 80
N = len(data)
time = [i / fs for i in range(N)]
wnd = np.hamming(wlen)
NIS = int((IS * fs - wlen) // inc + 1)... | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 46 |
86e323cb7f7044782cf0f45004b7d35357193803 | 2,022 | py | Python | src/models/production_model_selection.py | mfalila/backorder_analytics_mlops | 48d11bb49d50b49432a706f425b6ff66fee282dc | [
"MIT"
] | 3 | 2022-01-16T13:03:29.000Z | 2022-02-20T04:07:56.000Z | src/models/production_model_selection.py | mfalila/backorder_analytics_mlops | 48d11bb49d50b49432a706f425b6ff66fee282dc | [
"MIT"
] | null | null | null | src/models/production_model_selection.py | mfalila/backorder_analytics_mlops | 48d11bb49d50b49432a706f425b6ff66fee282dc | [
"MIT"
] | null | null | null | import argparse
from tensorflow.python.saved_model import signature_constants
key = signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY
if __name__ == '__main__':
args = argparse.ArgumentParser()
args.add_argument("--config", default="params.yaml")
parsed_args = args.parse_args()
data... | 34.271186 | 90 | 0.641939 | import os
import mlflow
import argparse
from pprint import pprint
import src.data.load_data
from mlflow.tracking import MlflowClient
from tensorflow.python.saved_model import signature_constants
key = signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY
def log_production_model(config_path):
confi... | 0 | 0 | 0 | 0 | 0 | 1,496 | 0 | 7 | 140 |
5b6c64494de90271c124598c79749f9c3e927a18 | 370 | py | Python | chapter6/6.1/Personal.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | chapter6/6.1/Personal.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | chapter6/6.1/Personal.py | yifengyou/crazy-python | 28099bd5011de6981a7c5412783952cc7601ae0c | [
"Unlicense"
] | null | null | null | # coding:utf-8
# File Name Personal
# Author : yifengyou
# Date : 2021/07/18
p = Person()
print(p.name, p.age)
p.name = ''
p.say("python")
print(p.name,p.age) | 18.5 | 49 | 0.578378 | # coding:utf-8
# File Name： Personal
# Author : yifengyou
# Date : 2021/07/18
class Person:
hair = 'black'
def __init__(self, name='microease', age=24):
self.name = name
self.age = age
def say(self, content):
print(content)
p = Person()
print(p.name, p.age)
p.na... | 24 | 0 | 0 | 162 | 0 | 0 | 0 | 0 | 22 |
47e9ba085b3b42c97883bd839c3f0d513046826f | 511 | py | Python | profiles_api/urls.py | ravenours251/profiles-rest-api | 43e15414f9c18089f03f12311c6910a853981b97 | [
"MIT"
] | 1 | 2021-03-08T14:33:31.000Z | 2021-03-08T14:33:31.000Z | profiles_api/urls.py | ravenours251/profiles-rest-api | 43e15414f9c18089f03f12311c6910a853981b97 | [
"MIT"
] | null | null | null | profiles_api/urls.py | ravenours251/profiles-rest-api | 43e15414f9c18089f03f12311c6910a853981b97 | [
"MIT"
] | null | null | null | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register('hello-viewset',views.HelloViewSet, basename='hello_viewset')
router.register('profiles',views.ProfileViewSet,basename='Profiles')
router.register('feed',views.UserProfile... | 34.066667 | 77 | 0.772994 | from django.urls import path,include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register('hello-viewset',views.HelloViewSet, basename='hello_viewset')
router.register('profiles',views.ProfileViewSet,basename='Profiles')
router.register('feed',views.UserProfileF... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
19d6f4fa418e033137082f40a4f913e6f9d8b45c | 133 | py | Python | jarbas/dashboard/urls.py | vbarceloscs/serenata-de-amor | 87e6c8932469478d177372ed7b6311cd66a71efe | [
"MIT"
] | 3,001 | 2016-08-08T17:43:36.000Z | 2018-02-09T19:13:35.000Z | jarbas/dashboard/urls.py | vbarceloscs/serenata-de-amor | 87e6c8932469478d177372ed7b6311cd66a71efe | [
"MIT"
] | 259 | 2016-08-08T09:53:23.000Z | 2018-01-24T13:30:27.000Z | jarbas/dashboard/urls.py | vbarceloscs/serenata-de-amor | 87e6c8932469478d177372ed7b6311cd66a71efe | [
"MIT"
] | 674 | 2016-08-08T22:04:04.000Z | 2018-02-05T15:30:15.000Z | from django.urls import path
from jarbas.public_admin.sites import public_admin
urlpatterns = [
path('', public_admin.urls)
]
| 14.777778 | 50 | 0.75188 | from django.urls import path
from jarbas.public_admin.sites import public_admin
urlpatterns = [
path('', public_admin.urls)
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |