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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1d65e18706f1c8de8606f5b1c87e5a658cb46b71 | 872 | py | Python | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | # 0480-matrix-no-numpy-mul2.py
# Multiply a matrix with a matrix
# 20220216 Create this example.
import matrix as mat
# multiply a matrix with a matrix
# define a list as two-dimension matrix
m1 = [
[1, 1, 1],
[1, 2, 1],
]
m2 = [
[1, 1],
[1, 2],
[1, 1],
]
m3 = mulmat2(m1, m2)
# display ... | 18.956522 | 53 | 0.540138 | # 0480-matrix-no-numpy-mul2.py
# Multiply a matrix with a matrix
# 20220216 Create this example.
import matrix as mat
# multiply a matrix with a matrix
def mulmat2(m1, m2):
# assume column of 1st and row of 2nd are matched
row = len(m1) # m1 (row x mid)
mid = len(m1[0]) # m2 (mid x col)
col =... | 0 | 0 | 0 | 0 | 0 | 432 | 0 | 0 | 22 |
c32bc0aa73f4cc496b7277089923a9e0bfb3eaaf | 3,122 | py | Python | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
MIT License
Copyright (c) 2020 Futurewei Cloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, cop... | 44.6 | 119 | 0.71909 | #!/usr/bin/env python3
'''
MIT License
Copyright (c) 2020 Futurewei Cloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, cop... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cd988cca68d439b9a17f793b879fa7a77f20d02a | 544 | py | Python | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | # Advection test evolution
from models import advection
from bcs import periodic
from simulation import simulation
from methods import minmod_lf
from rk import rk2
from grid import grid
Npoints = 20
Ngz = 2
interval = grid([-0.5, 0.5], Npoints, Ngz)
model = advection.advection(v=1,
initia... | 28.631579 | 76 | 0.694853 | # Advection test evolution
from models import advection
from bcs import periodic
from simulation import simulation
from methods import minmod_lf
from rk import rk2
from grid import grid
Npoints = 20
Ngz = 2
interval = grid([-0.5, 0.5], Npoints, Ngz)
model = advection.advection(v=1,
initia... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebf355dc451b7f254a5306471df7eb03b476bbc6 | 651 | py | Python | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | 7 | 2017-10-19T13:59:24.000Z | 2019-11-26T03:40:08.000Z | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | null | null | null | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | 5 | 2018-08-22T02:57:03.000Z | 2020-03-05T07:14:21.000Z | import tensorflow as tf
"""tf.tensordot(a, b, axes, name=None)
numpy.tensordotaxis
axes=1axes=[[1],[0]]"""
a = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
b = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
z = tf.tensordot(a, b, axes=[[1], [1]]) #
z1 = tf.tensordot(a, b, axes=[[1], [0]]) ... | 28.304348 | 62 | 0.55914 | import tensorflow as tf
"""tf.tensordot(a, b, axes, name=None)
功能：同numpy.tensordot，根据axis计算点乘。
输入：axes=1或axes=[[1],[0]]，即为矩阵乘。"""
a = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
b = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
z = tf.tensordot(a, b, axes=[[1], [1]]) # 第一个矩阵的行乘上第二个矩阵的行
z1 ... | 219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
af04ccd5613fc991ffd9f0612b1286cb60a1fb67 | 4,853 | py | Python | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | import tensorflow as tf
import sys
import numpy as np
import json
import torch
import pandas as pd
from tensorflow.saved_model import tag_constants
from os.path import dirname, realpath
# Add root directory to path
file_path = realpath(__file__)
file_dir = dirname(file_path)
parent_dir = dirname(file_dir)
sys.path.app... | 42.570175 | 114 | 0.59489 | import tensorflow as tf
import sys
import numpy as np
import json
import torch
import pandas as pd
from tensorflow.saved_model import tag_constants
from os.path import dirname, realpath
# Add root directory to path
file_path = realpath(__file__)
file_dir = dirname(file_path)
parent_dir = dirname(file_dir)
sys.path.app... | 0 | 0 | 0 | 325 | 0 | 0 | 0 | 0 | 23 |
e300fd872179c96d2e6a5a81b24d1e6c14c183a9 | 2,227 | py | Python | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 175 | 2015-01-19T10:09:57.000Z | 2022-03-31T18:23:03.000Z | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 31 | 2015-01-19T10:40:20.000Z | 2017-11-02T17:40:45.000Z | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 49 | 2015-01-06T05:46:51.000Z | 2021-05-13T03:12:06.000Z |
try:
from carbon.storage import loadStorageSchemas, loadAggregationSchemas
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
except ImportError:
SCHEMAS = []
AGGREGATION_SCHEMAS = []
# Update metadata to match carbon schemas.
| 28.551282 | 92 | 0.709026 | from itertools import izip
try:
from carbon.storage import loadStorageSchemas, loadAggregationSchemas
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
except ImportError:
SCHEMAS = []
AGGREGATION_SCHEMAS = []
def determine_metadata(metric):
metadata = dict(timeStep=None, rete... | 0 | 0 | 0 | 0 | 0 | 1,887 | 0 | 5 | 67 |
f07666f43ab5eca82f395e078a80a4df700d2441 | 1,101 | py | Python | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null |
# Create your models here.
#class Al_batch_output(models.Models):
#class Coverage_by_base(models.Model):
# patient = models.ForeignKey(Patient, on_delete=models.CASCADE)
# chromosome = models.CharField(max_length=2)
# genomic_coordinate = models.CharField(max_length=30)
# depth_of_coverage = models.CharF... | 39.321429 | 93 | 0.739328 | from django.db import models
# Create your models here.
class Sample_list(models.Model):
sequencing_panel_version = models.CharField(max_length=100, blank=True)
capture_number = models.CharField(max_length=100, blank=True)
mody_number = models.CharField(max_length=100, blank=True)
ex_number = models.Ch... | 0 | 0 | 0 | 571 | 0 | 0 | 0 | 7 | 44 |
ba228815b4ba54f8ab37ab6654102f19eb9da246 | 293 | py | Python | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.views.generic import TemplateView
from .api import ListApi, CardApi
urlpatterns = [
url(r'^lists$', ListApi.as_view()),
url(r'^cards$', CardApi.as_view()),
url(r'^home', TemplateView.as_view(template_name="scrumboard/home.html")),
]
| 24.416667 | 78 | 0.713311 | from django.conf.urls import url
from django.views.generic import TemplateView
from .api import ListApi, CardApi
urlpatterns = [
url(r'^lists$', ListApi.as_view()),
url(r'^cards$', CardApi.as_view()),
url(r'^home', TemplateView.as_view(template_name="scrumboard/home.html")),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b1712b7058692c9686ce8295db8b259edd19095 | 142 | py | Python | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 10 | 2021-07-04T15:14:12.000Z | 2021-10-17T14:52:56.000Z | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 11 | 2021-07-04T19:31:36.000Z | 2022-01-11T02:46:23.000Z | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 11 | 2021-07-04T21:49:17.000Z | 2021-10-04T17:45:38.000Z | import os
from pathlib import Path
DEFAULT_ROOT_PATH = Path(os.path.expanduser(os.getenv("EQUALITY_ROOT", "~/.equality/mainnet"))).resolve()
| 28.4 | 105 | 0.767606 | import os
from pathlib import Path
DEFAULT_ROOT_PATH = Path(os.path.expanduser(os.getenv("EQUALITY_ROOT", "~/.equality/mainnet"))).resolve()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f895f7e7d7b781823aafb786f119240b7436565 | 3,116 | py | Python | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | import datetime
def days_in_month(year, month):
"""
Inputs:
year - an integer between datetime.MINYEAR and datetime.MAXYEAR
representing the year
month - an integer between 1 and 12 representing the month
Returns:
The number of days in the input month.
"""
if month... | 29.121495 | 74 | 0.630937 | import datetime
def days_in_month(year, month):
"""
Inputs:
year - an integer between datetime.MINYEAR and datetime.MAXYEAR
representing the year
month - an integer between 1 and 12 representing the month
Returns:
The number of days in the input month.
"""
if month... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4b1c1c2bd38dd57c68ccab633122f46bc2570918 | 11,854 | py | Python | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | 1 | 2022-03-26T22:30:30.000Z | 2022-03-26T22:30:30.000Z | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | 1 | 2021-09-08T08:26:38.000Z | 2021-09-08T08:26:38.000Z | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | null | null | null | import argparse
import logging
import numpy as np
from webias.constants import BIAS_METRIC_LIMITS, BIAS_METRIC_ZERO, LOGGING_CONFIG
def calculate_mean_values(results_per_run: list) -> float:
"""Calculate the mean values of each dimension for the given lists of runs.
Return a list of means.
Arguments:
... | 38.487013 | 100 | 0.667117 | import argparse
import json
import logging
import numpy as np
from datetime import datetime
from os import path
from webias.constants import BIAS_METRIC_LIMITS, BIAS_METRIC_ZERO, LOGGING_CONFIG
def calculate_mean_values(results_per_run: list) -> float:
"""Calculate the mean values of each dimension for the give... | 0 | 0 | 0 | 0 | 0 | 1,442 | 0 | -4 | 90 |
260e08f52c4a559ef75f86a101130dc3363e4001 | 465 | py | Python | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | null | null | null | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | 1 | 2021-06-12T04:26:46.000Z | 2021-06-18T09:28:57.000Z | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | null | null | null | from searcher import NCBI_searcher
# this api_key is only for testing. So pls use your api_key from ur NCBI accounts, otherwise it will effect your speed
api_key = '1cb4976dd163905feedacce5da0f10552309'
keywords = "metabolomics"
keywords_file = "propanoyl-CoA"
searcher = NCBI_searcher(api_key=api_key, len_limit=0)
... | 29.0625 | 118 | 0.806452 | from searcher import NCBI_searcher
# this api_key is only for testing. So pls use your api_key from ur NCBI accounts, otherwise it will effect your speed
api_key = '1cb4976dd163905feedacce5da0f10552309'
keywords = "metabolomics"
keywords_file = "propanoyl-CoA"
searcher = NCBI_searcher(api_key=api_key, len_limit=0)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5d9e84e34faf87ac083193ffe9a009e679d66385 | 40,212 | py | Python | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | null | null | null | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | 1 | 2022-03-22T22:11:21.000Z | 2022-03-22T22:11:21.000Z | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
CCCS
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# python 2 and pyt... | 36.556364 | 154 | 0.582985 | # coding: utf-8
"""
CCCS
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa:... | 0 | 0 | 0 | 39,755 | 0 | 0 | 0 | 3 | 105 |
996bffea97a333db29faf95a43c538be6ca01063 | 1,167 | py | Python | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-03-14T06:26:16.000Z | 2022-03-14T06:26:16.000Z | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2016-09-24T16:47:43.000Z | 2016-09-24T16:47:43.000Z | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | from ij import IJ
from ij.gui import ShapeRoi
from java.awt import Color, Polygon
from java.awt.geom import PathIterator
w = int(36)
h = int(42)
lineWidth = 2
arrowWidth = 16
image = IJ.createImage('Download arrow', 'rgb', w, h, 1)
ip = image.getProcessor()
ip.setLineWidth(lineWidth)
ip.setColor(Color(0x65a4e3))
roi ... | 29.175 | 56 | 0.723222 | from ij import IJ
from ij.gui import ShapeRoi
from java.awt import Color, Polygon
from java.awt.geom import PathIterator
w = int(36)
h = int(42)
lineWidth = 2
arrowWidth = 16
image = IJ.createImage('Download arrow', 'rgb', w, h, 1)
ip = image.getProcessor()
ip.setLineWidth(lineWidth)
ip.setColor(Color(0x65a4e3))
roi ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12d2de0f1f8174b334d048e70abd7141b3e876ad | 10,289 | py | Python | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 6 | 2019-03-18T16:55:13.000Z | 2021-07-14T23:49:15.000Z | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 75 | 2019-03-19T02:45:30.000Z | 2019-12-28T04:11:33.000Z | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 2 | 2019-03-28T08:44:02.000Z | 2019-07-17T20:26:47.000Z | """Test LND functions"""
import unittest
if __name__ == "__main__":
unittest.main()
| 37.010791 | 83 | 0.59549 | """Test LND functions"""
import logging
import random
import json
import unittest
from unittest import mock
from noma import lnd
import noma.config as cfg
class TestComplete(Exception):
"""Raise me to stop the test, we're done"""
class Unhappy(Exception):
"""Something has gone wrong"""
class LndCreateWall... | 0 | 9,559 | 0 | 454 | 0 | 0 | 0 | -18 | 201 |
4736efc5a7f23956e05fb23e36e0c4950f3c51db | 815 | py | Python | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 11 | 2018-12-21T11:45:45.000Z | 2021-05-26T08:13:32.000Z | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 2 | 2019-10-11T07:50:33.000Z | 2021-05-29T22:50:07.000Z | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 7 | 2019-04-12T06:45:31.000Z | 2021-05-26T08:13:55.000Z | #!/usr/bin/python3
if __name__ == '__main__':
main()
| 24.69697 | 66 | 0.733742 | #!/usr/bin/python3
from jmespath import search as queryJson
import boto3
import json
def parseJson(query, jsonObj):
return(queryJson(query, jsonObj))
def topicsList(clientApiCall):
topics = clientApiCall.list_topics()
topicsList = parseJson('Topics[*].TopicArn', topics)
return(topicsList)
def getTopicsAttrs(... | 0 | 0 | 0 | 0 | 0 | 601 | 0 | 0 | 159 |
347bed225edd8991964acd25c8ce13fed93d87e7 | 4,475 | py | Python | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Rackspace
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 35.23622 | 78 | 0.599777 | # Copyright 2014 Rackspace
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 0 | 0 | 0 | 3,646 | 0 | 0 | 0 | 66 | 135 |
81c7f112eb4726b9839c0de9698433750367c98d | 4,710 | py | Python | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | '''
read_vcf
Read a vcf file into pandas data frame
'''
import pandas as pd
from typing import TextIO, List
import numpy as np
def import_vcf(vcf_reader: TextIO,
dataframe: pd.DataFrame = None,
check_phasing: bool = False,
individuals: List[str] = None) -> pd.DataFrame:... | 33.169014 | 79 | 0.552866 | '''
read_vcf
Read a vcf file into pandas data frame
'''
import pandas as pd
from typing import TextIO, List
import numpy as np
def import_vcf(vcf_reader: TextIO,
dataframe: pd.DataFrame = None,
check_phasing: bool = False,
individuals: List[str] = None) -> pd.DataFrame:... | 0 | 0 | 0 | 0 | 0 | 199 | 0 | 0 | 57 |
8ef1a24988dd589571d3796d3f6dd516e65ebe82 | 3,152 | py | Python | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | null | null | null | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | 2 | 2021-07-02T10:00:32.000Z | 2022-02-06T17:47:56.000Z | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | null | null | null |
# TODO: Delete duplicate code
| 23.522388 | 108 | 0.580584 | import binascii
import functools
import json
import os
from rest_framework import permissions
from rest_framework import exceptions
from api.exceptions import *
from api.cryptor import ApiCrypto
class ApiHelpers:
@staticmethod
def rgetattr(obj, attr, *args):
def _getattr(obj, attr):
ret... | 0 | 2,658 | 0 | -4 | 0 | 0 | 0 | 19 | 443 |
a4cdd1af856d3df5d9e3908e411c9966e40a2a98 | 1,563 | py | Python | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 11 | 2020-09-29T13:59:02.000Z | 2022-03-23T04:57:52.000Z | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 95 | 2019-11-18T20:10:49.000Z | 2022-03-31T17:09:49.000Z | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 2 | 2021-11-26T18:22:08.000Z | 2022-03-31T11:57:10.000Z |
#
| 50.419355 | 92 | 0.677543 | from core.models.view_tables import Edocument
from core.models.core_tables import TypeDef
from core.utilities.wf1_utils import generate_robot_file, generate_robot_file_wf1
#
def perovskite_demo(data, q1, experiment_copy_uuid, exp_name, exp_template):
robotfile_blob = generate_robot_file(q1,data,'Symyx_96_well_0003... | 0 | 0 | 0 | 0 | 0 | 1,343 | 0 | 106 | 111 |
a2400a9a19b6520a2473a735fb5534581c2c1f3d | 8,106 | py | Python | atomsci/ddm/utils/pubchem_utils.py | truatpasteurdotfr/AMPL | 0295d56166632647b194e7221eab315bac74dfe0 | [
"MIT"
] | 1 | 2019-12-18T20:02:58.000Z | 2019-12-18T20:02:58.000Z | atomsci/ddm/utils/pubchem_utils.py | kim79sookyung/AMPL | 68dd7a8004272d22ef5d975c57e1e9149c820f8b | [
"MIT"
] | 3 | 2022-01-13T03:51:49.000Z | 2022-03-12T00:59:39.000Z | atomsci/ddm/utils/pubchem_utils.py | kim79sookyung/AMPL | 68dd7a8004272d22ef5d975c57e1e9149c820f8b | [
"MIT"
] | null | null | null | import urllib.request as urlreq
import io, json
import pandas as pd
# ******************************************************************************************************************************************
def download_smiles(myList,intv=1) :
"""Retrieve canonical SMILES strings for a list of input INCHIKEYS.
... | 34.939655 | 235 | 0.535283 | import urllib.request as urlreq
import io,json
import pandas as pd
# ******************************************************************************************************************************************
def download_smiles(myList,intv=1) :
"""Retrieve canonical SMILES strings for a list of input INCHIKEYS.
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
637349731dc5abe031e309e3d3391e433f291f81 | 7,785 | py | Python | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | # main imports
import sys, os
# models imports
# image processing imports
# modules imports
sys.path.insert(0, '') # trick to enable import of main folder module
import custom_config as cfg
# variables and parameters
threshold_map_folder = cfg.threshold_map_folder
threshold_map_file_prefix = cfg.threshol... | 35.711009 | 131 | 0.721901 | # main imports
import numpy as np
import pandas as pd
import sys, os, argparse
import subprocess
import time
import json
# models imports
from sklearn.utils import shuffle
from sklearn.externals import joblib
from sklearn.metrics import accuracy_score, f1_score, recall_score, roc_auc_score
from sklearn.model_selectio... | 0 | 0 | 0 | 0 | 0 | 6,673 | 0 | 166 | 309 |
f70e8a5e36b7b6fa9004e87414745e7ec78d75f6 | 96 | py | Python | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/b7/df/1e/7980259571f5a43b5ac0c36215dfc4b1485986d14af13b40a821ae930f | 96 | 96 | 0.895833 | /home/runner/.cache/pip/pool/b7/df/1e/7980259571f5a43b5ac0c36215dfc4b1485986d14af13b40a821ae930f | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e08073175d03b4f48203fa10fa8dd47aa503d0ff | 1,201 | py | Python | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | # Ashwin Chidambaram ##
# Task: Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum ##
##########################################################... | 28.595238 | 130 | 0.502914 | # Ashwin Chidambaram ##
# Task: Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum ##
##########################################################... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ecbef9a6ed4d21337a001701bed1db3e21bb31d4 | 2,978 | py | Python | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | # These need to be at the top to allow for running on cluster
import os
import sys
cwd = os.getcwd()
sys.path.append(cwd)
# Other imports
import json
import getopt
from h_captionmodel import CaptionModel
import time
import tensorflow.keras.backend as K
arguments = getopt.getopt(sys.argv[1:], shortopts=... | 38.179487 | 121 | 0.658496 | # These need to be at the top to allow for running on cluster
import os
import random
import sys
cwd = os.getcwd()
sys.path.append(cwd)
# Other imports
import json
import getopt
from h_captionmodel import CaptionModel
import pickle
import time
import tensorflow.keras.backend as K
arguments = getopt.g... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -16 | 46 |
004f63b232f6de82e719f0bb174dfade3dd58281 | 2,613 | py | Python | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | #! /usr/bin/python3
from datetime import date, datetime
#Refresh Interval in seconds
ref_interval = 5
d_today = date.today()
age_limit = 18
__district_code = "363"
dt = d_today.strftime("%d/%m/%Y")
__date_today = str(dt).replace("/","-")
time_now = datetime.now()
if __name__ == '__main__':
check_slot()
wh... | 35.310811 | 218 | 0.66437 | #! /usr/bin/python3
import os
import telegram_send
import requests
from datetime import date,datetime
from time import time,ctime,sleep
#Refresh Interval in seconds
ref_interval = 5
d_today = date.today()
age_limit = 18
__district_code = "363"
dt = d_today.strftime("%d/%m/%Y")
__date_today = str(dt).replace("/","... | 0 | 0 | 0 | 0 | 0 | 2,043 | 0 | -8 | 135 |
7d809051c608d71775c172088fd72765826b9a34 | 819 | py | Python | more_autograding_examples/python_random_input_output/submissions/solution.py | elihschiff/Submitty | 8b980997b6f1dfcd73eb4cf4cca43398e67f96dc | [
"BSD-3-Clause"
] | 411 | 2016-06-14T20:52:25.000Z | 2022-03-31T21:20:25.000Z | more_autograding_examples/python_random_input_output/submissions/solution.py | KaelanWillauer/Submitty | cf9b6ceda15ec0a661e2ca81ea7864790094c64a | [
"BSD-3-Clause"
] | 5,730 | 2016-05-23T21:04:32.000Z | 2022-03-31T10:08:06.000Z | more_autograding_examples/python_random_input_output/submissions/solution.py | KaelanWillauer/Submitty | cf9b6ceda15ec0a661e2ca81ea7864790094c64a | [
"BSD-3-Clause"
] | 423 | 2016-09-22T21:11:30.000Z | 2022-03-29T18:55:28.000Z | import sys
print ("#icebucketchallenge vs #alsicebucketchallenge, percentage change")
print_change(200,500,100,300)
print_change(500,2000,300,1500)
print_change(2000,12000,1500,13000)
print_change(12000,24000,13000,25000)
print_change(24000,65000,25000,105000)
print_change(65000,70000,105000,85000)
# read the last te... | 26.419355 | 74 | 0.70696 | import sys
def percent_change(old,new):
return int(100*(float(new)-old)/old)
def print_change(old1, new1, old2, new2):
p1 = percent_change(old1,new1)
p2 = percent_change(old2,new2)
print (p1, "vs", p2)
print ("#icebucketchallenge vs #alsicebucketchallenge, percentage change")
print_change(200,500,100... | 0 | 0 | 0 | 0 | 0 | 163 | 0 | 0 | 46 |
c5a2237689eaa1a6a7770832e2664d34b8c27402 | 930 | py | Python | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | 1 | 2019-06-25T16:55:33.000Z | 2019-06-25T16:55:33.000Z | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | null | null | null | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
import gscholar
setup(name='gscholar',
version=gscholar.__VERSION__,
description='Python library to query Google Scholar.',
long_description='This package provides a python package and CLI to query google scholar and get references in various form... | 31 | 163 | 0.61828 | #!/usr/bin/env python
from setuptools import setup
import gscholar
setup(name='gscholar',
version=gscholar.__VERSION__,
description='Python library to query Google Scholar.',
long_description='This package provides a python package and CLI to query google scholar and get references in various form... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
79065e5eadad7bc0e642e51294c0672d7f8e4553 | 13,148 | py | Python | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012 Homer Strong, Radim Rehurek
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""This module implements the "hashing trick" [1]_ -- a mapping between words and their integer ids
using a fixed and static mapping.
Notes
-----... | 37.673352 | 120 | 0.604198 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012 Homer Strong, Radim Rehurek
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""This module implements the "hashing trick" [1]_ -- a mapping between words and their integer ids
using a fixed and static mapping.
Notes
-----... | 28 | 80 | 0 | 11,689 | 0 | 0 | 0 | 2 | 112 |
0928532889196818149862e59a74c27dd46f1441 | 8,365 | py | Python | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | #!/usr/bin/python
#'''''''10''''''''20''''''''30''''''''40''''''''50''''''''60''''''''70''''''''80
'''_____________________________________________________________________________
'
' Created By: Kevin M. Albright
' Creation Date: 03.24.2014
'
' Modified By: Kevin M. Albright
' Last Modified: 03.30.2014
'
... | 32.049808 | 80 | 0.613628 | #!/usr/bin/python
#'''''''10''''''''20''''''''30''''''''40''''''''50''''''''60''''''''70''''''''80
'''_____________________________________________________________________________
'
' Created By: Kevin M. Albright
' Creation Date: 03.24.2014
'
' Modified By: Kevin M. Albright
' Last Modified: 03.30.2014
'
... | 0 | 0 | 0 | 0 | 0 | 3,097 | 0 | 0 | 220 |
468c0c8c4c5d08e8bce7f0e65e1ea5486f733075 | 4,720 | py | Python | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from sklearn.metrics.pairwise import cosine_similarity
import en_coref_lg
import networkx as nx
import pandas as pd
import numpy as np
nlp = en_coref_lg.load()
# paths #
embedding_path = "../../data/embeddings/"
# article summarizer #
def g... | 27.764706 | 86 | 0.587076 | from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from sklearn.metrics.pairwise import cosine_similarity
import en_coref_lg
import networkx as nx
import pandas as pd
import numpy as np
nlp = en_coref_lg.load()
# paths #
embedding_path = "../../data/embeddings/"
# article summarizer #
def g... | 0 | 0 | 0 | 0 | 0 | 96 | 0 | 0 | 26 |
1bcf57c3832199ff88668abc4e195417ac28330b | 5,270 | py | Python | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | 8 | 2020-01-16T11:16:20.000Z | 2020-07-15T12:45:51.000Z | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | null | null | null | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | 1 | 2020-02-18T07:30:46.000Z | 2020-02-18T07:30:46.000Z |
# Size of the edge mask matrix
TARGET_IMAGE_SIZE = 256
| 51.666667 | 136 | 0.650285 | import cv2
import keras
import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from .base import EdgeDetector
# Size of the edge mask matrix
TARGET_IMAGE_SIZE = 256
class UNetEdgeDetector(EdgeDetector):
"""
EdgeDetector implementation which uses the UNet deep ... | 0 | 0 | 0 | 5,021 | 0 | 0 | 0 | 5 | 178 |
f4a63b1bed458fdc17c2176e8f50420f8e9e7bac | 528 | py | Python | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 6 | 2020-09-18T00:13:38.000Z | 2021-11-14T17:12:19.000Z | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 321 | 2020-08-28T15:42:25.000Z | 2022-03-14T15:11:50.000Z | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 8 | 2019-07-10T07:02:08.000Z | 2020-08-10T14:07:25.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# CDS-ILS is free software; you can redistribute it and/or modify it under
# the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS migrator module."""
from cds_dojson.overdo import OverdoBase
serial_marc21 = OverdoBase(entry_point_models="cd... | 29.333333 | 78 | 0.767045 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# CDS-ILS is free software; you can redistribute it and/or modify it under
# the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS migrator module."""
from cds_dojson.overdo import OverdoBase
serial_marc21 = OverdoBase(entry_point_models="cd... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
47840db448f0bdb400c56476b1de52d29ca4ebfe | 2,710 | py | Python | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | import connexion
from papahana.models.instrument_enum import InstrumentEnum
from papahana.controllers import controller_helper as utils
def instrument_packages(instrument):
"""instrument_packages
Retrieves the the available instrument packages for an instrument.
:param instrument: instrument used to m... | 31.882353 | 82 | 0.734317 | import connexion
import six
from papahana.models.instrument_enum import InstrumentEnum
from papahana.models.instrument_package import InstrumentPackage
from papahana import util
from papahana.controllers import controller_helper as utils
def instrument_packages(instrument):
"""instrument_packages
Retrieves... | 0 | 0 | 0 | 0 | 0 | 211 | 0 | 36 | 89 |
42e4b898e84c33fec197ea5476852ef49b6329d4 | 15,992 | py | Python | dvmvs/fusionnet/model.py | hashi0203/deep-video-mvs | b3943a9249d522dca3e6cd603e427f611cc7bad5 | [
"MIT"
] | 1 | 2022-01-10T07:51:41.000Z | 2022-01-10T07:51:41.000Z | dvmvs/fusionnet/model.py | MorchelPeng/deep-video-mvs | fa14288f149c5af7b2a49092f729f5c4f44517ba | [
"MIT"
] | null | null | null | dvmvs/fusionnet/model.py | MorchelPeng/deep-video-mvs | fa14288f149c5af7b2a49092f729f5c4f44517ba | [
"MIT"
] | null | null | null |
fpn_output_channels = 32
hyper_channels = 32
| 47.313609 | 127 | 0.55978 | from collections import OrderedDict
import torch
from torchvision import models
from torchvision.ops import FeaturePyramidNetwork
from dvmvs.config import Config
from dvmvs.convlstm import MVSLayernormConvLSTMCell
from dvmvs.layers import conv_layer, depth_layer_3x3
fpn_output_channels = 32
hyper_channels = 32
cla... | 0 | 0 | 0 | 15,437 | 0 | 0 | 0 | 113 | 386 |
71b3e231730fc9bb2e954c9f746b2fd3d339d508 | 8,650 | py | Python | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | #!/usr/bin/python
from fabric.operations import run
from fabric.api import env
import sys
# Usage for VXML -> fab domain_vxml -H <hostname>
# Usage for VCS -> fab domain_vcs -H <hostname>
env.user = 'root'
# Take the host name argument and split it to get the data center.
host=sys.argv[3]
dc=host.split('.')
# VXML use ... | 42.401961 | 119 | 0.656532 | #!/usr/bin/python
from fabric.operations import local as lrun, run
from fabric.api import env,cd,run,settings,task
from fabric.colors import cyan,red
import sys
# Usage for VXML -> fab domain_vxml -H <hostname>
# Usage for VCS -> fab domain_vcs -H <hostname>
env.user = 'root'
# Take the host name argument and split it ... | 0 | 0 | 0 | 0 | 0 | 7,448 | 0 | 49 | 296 |
f6da5428789043e08eb9f1ce35cedf0b3fe38998 | 362 | py | Python | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null |
see_that = Condition
| 24.133333 | 98 | 0.729282 | from .question import Question
from .matcher import Matcher
class Condition:
def __init__(self, question: Question, expected: Matcher):
self.question = question
self.expected = expected
def check_as(self, actor):
assert self.expected.matches(self.question.answered_by(actor)), self.exp... | 0 | 0 | 0 | 255 | 0 | 0 | 0 | 16 | 67 |
2ff2609b5b28fb9e8b8e1b895ad7a240ffa90447 | 53 | py | Python | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 5 | 2017-07-23T15:04:01.000Z | 2018-08-10T01:27:08.000Z | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 72 | 2015-09-14T07:54:54.000Z | 2021-03-15T10:29:26.000Z | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 4 | 2015-12-06T22:00:35.000Z | 2018-05-04T12:16:53.000Z | # | 26.5 | 51 | 0.849057 | #
from clld.web.util.helpers import rendered_sentence | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 22 |
f45fc4dc6db53b674b8272a626b89695026d1c52 | 954 | py | Python | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | null | null | null | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | null | null | null | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | 1 | 2022-01-13T17:03:29.000Z | 2022-01-13T17:03:29.000Z | from __future__ import absolute_import
from django import template
register = template.Library()
| 23.85 | 62 | 0.6174 | from __future__ import absolute_import
from django import template
from django.template.loader import render_to_string
from alacarte import get_menus
register = template.Library()
class AlacarteNode(template.Node):
def __init__(self, menus):
self.menus = menus
def render(self, context):
# ... | 0 | 343 | 0 | 380 | 0 | 0 | 0 | 39 | 91 |
76e6d8f7eb0b6e46f9d198f1329e17add45745a3 | 1,917 | py | Python | pytorch_lightning/callbacks/__init__.py | KyleGoyette/pytorch-lightning | d6470bf1937e51e037a7f94a55ad76898e5ae103 | [
"Apache-2.0"
] | 1 | 2021-12-30T11:23:50.000Z | 2021-12-30T11:23:50.000Z | pytorch_lightning/callbacks/__init__.py | KyleGoyette/pytorch-lightning | d6470bf1937e51e037a7f94a55ad76898e5ae103 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/callbacks/__init__.py | KyleGoyette/pytorch-lightning | d6470bf1937e51e037a7f94a55ad76898e5ae103 | [
"Apache-2.0"
] | 1 | 2021-09-16T15:14:11.000Z | 2021-09-16T15:14:11.000Z | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 42.6 | 101 | 0.818466 | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2db7bfbb9ca5b86636cef28f2ea8f7cd57984a9 | 1,106 | py | Python | tests/test_delete.py | niallmcc/treehaus | 069a8f478856e5d55b22b96d83be8f13e0853cd7 | [
"Apache-2.0"
] | null | null | null | tests/test_delete.py | niallmcc/treehaus | 069a8f478856e5d55b22b96d83be8f13e0853cd7 | [
"Apache-2.0"
] | null | null | null | tests/test_delete.py | niallmcc/treehaus | 069a8f478856e5d55b22b96d83be8f13e0853cd7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017,2021 Niall McCarroll
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 28.358974 | 74 | 0.661844 | # Copyright 2017,2021 Niall McCarroll
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 0 | 0 | 378 | 0 | 0 | 0 | 17 | 47 |
7a4d2cd6c0b3ae103067e0b40bf96c705c45d0b2 | 3,388 | py | Python | cloudreg/scripts/download_data.py | neurodata/ndmc | 52f057c50d517862bd8b51ebfcc3aac887067df9 | [
"Apache-2.0"
] | 5 | 2020-10-31T13:00:05.000Z | 2021-09-21T14:01:53.000Z | cloudreg/scripts/download_data.py | neurodata/ndmc | 52f057c50d517862bd8b51ebfcc3aac887067df9 | [
"Apache-2.0"
] | 4 | 2020-07-25T01:44:31.000Z | 2022-02-15T20:26:42.000Z | cloudreg/scripts/download_data.py | neurodata/ndmc | 52f057c50d517862bd8b51ebfcc3aac887067df9 | [
"Apache-2.0"
] | 5 | 2020-07-10T19:11:25.000Z | 2022-02-25T17:36:58.000Z | from .util import imgResample
from cloudvolume import CloudVolume
from argparse import ArgumentParser
import numpy as np
import SimpleITK as sitk
import tifffile as tf
def get_mip_at_res(vol, resolution):
"""Find the mip that is at least a given resolution
Args:
vol (cloudvolume.CloudVoluem): CloudVo... | 35.663158 | 131 | 0.682999 | from .util import imgResample
from cloudvolume import CloudVolume
from argparse import ArgumentParser
import numpy as np
import SimpleITK as sitk
import tifffile as tf
def get_mip_at_res(vol, resolution):
"""Find the mip that is at least a given resolution
Args:
vol (cloudvolume.CloudVoluem): CloudVo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1d192e6e82a63df4d24d3a3f075a9322969a6755 | 12,156 | py | Python | custom_components/powerpetdoor/switch.py | corporategoth/ha-powepetdoor | ac75964e94496eb8ef9fcd4f73e06bf33307c46a | [
"MIT"
] | 2 | 2022-02-28T23:00:06.000Z | 2022-03-04T04:35:25.000Z | custom_components/powerpetdoor/switch.py | corporategoth/ha-powepetdoor | ac75964e94496eb8ef9fcd4f73e06bf33307c46a | [
"MIT"
] | 2 | 2022-03-01T04:40:29.000Z | 2022-03-03T00:47:20.000Z | custom_components/powerpetdoor/switch.py | corporategoth/ha-powepetdoor | ac75964e94496eb8ef9fcd4f73e06bf33307c46a | [
"MIT"
] | 1 | 2022-03-01T04:38:02.000Z | 2022-03-01T04:38:02.000Z | from __future__ import annotations
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from .const import (CONF_HOLD, CMD_GET_SENSORS, CMD_GET_POWER, CMD_GET_AUTO, CMD_ENABLE_INSIDE, CMD_DISABLE_INSIDE, CMD_ENABLE_OUTSIDE, CMD_DISABLE_OUTSIDE, CMD_POWER_ON, CMD_POWER_OFF, CMD_ENABLE_AUTO, CM... | 33.766667 | 216 | 0.637463 | from __future__ import annotations
import voluptuous as vol
from datetime import datetime, timezone, timedelta
from homeassistant.core import HomeAssistant, callback
from homeassistant.helpers.entity import Entity, ToggleEntity
from homeassistant.helpers.entity_platform import AddEntitiesCallback
from homeassistant.h... | 0 | 2,200 | 4,136 | 2,663 | 0 | 0 | 0 | 975 | 335 |
28f339c687b5b781f8f63a347bbc17154837a033 | 35,720 | py | Python | Scripts/simulation/interactions/base/basic.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/interactions/base/basic.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/interactions/base/basic.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\interactions\base\basic.py
# Compiled at: 2020-10-17 21:48:10
# Size of source mod 2**32: 42277 byte... | 79.732143 | 1,955 | 0.725056 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\interactions\base\basic.py
# Compiled at: 2020-10-17 21:48:10
# Size of source mod 2**32: 42277 byte... | 0 | 2,560 | 0 | 23,788 | 0 | 0 | 0 | 4,811 | 2,153 |
9f4c94237701a9eb5d1fbcf5affa2c58ebc18f2d | 23,112 | py | Python | geopandas_view/test_view.py | martinfleis/geopandas-view | 5c516f81f570740f4d39e0df371e3327eb5bbd38 | [
"BSD-3-Clause"
] | 26 | 2021-02-05T23:35:17.000Z | 2021-12-16T15:45:20.000Z | geopandas_view/test_view.py | martinfleis/geopandas-view | 5c516f81f570740f4d39e0df371e3327eb5bbd38 | [
"BSD-3-Clause"
] | 45 | 2021-02-05T21:45:30.000Z | 2021-09-23T20:22:25.000Z | geopandas_view/test_view.py | martinfleis/geopandas-view | 5c516f81f570740f4d39e0df371e3327eb5bbd38 | [
"BSD-3-Clause"
] | 4 | 2021-02-07T05:31:51.000Z | 2021-12-31T11:53:25.000Z | import folium
import geopandas as gpd
import matplotlib.cm as cm
import matplotlib.colors as colors
import numpy as np
import pandas as pd
import pytest
from geopandas_view import view
nybb = gpd.read_file(gpd.datasets.get_path("nybb"))
world = gpd.read_file(gpd.datasets.get_path("naturalearth_lowres"))
cities = gpd.... | 31.232432 | 114 | 0.624308 | import folium
import geopandas as gpd
import matplotlib.cm as cm
import matplotlib.colors as colors
from branca.colormap import StepColormap
import contextily
import numpy as np
import pandas as pd
import pytest
from geopandas_view import view
nybb = gpd.read_file(gpd.datasets.get_path("nybb"))
world = gpd.read_file(... | 0 | 0 | 0 | 0 | 0 | 10,128 | 0 | 15 | 343 |
d78cadee72dd8f376e35077358eabe5b33cd5e80 | 7,307 | py | Python | plugins/theme/__init__.py | labscript-suite-temp-archive/blacs-fork--rbchip-blacs--forked-from--labscript_suite-blacs | 2f023c6564dee46b555922e949d4bee81de8ca58 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | plugins/theme/__init__.py | labscript-suite-temp-archive/blacs-fork--rbchip-blacs--forked-from--labscript_suite-blacs | 2f023c6564dee46b555922e949d4bee81de8ca58 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | plugins/theme/__init__.py | labscript-suite-temp-archive/blacs-fork--rbchip-blacs--forked-from--labscript_suite-blacs | 2f023c6564dee46b555922e949d4bee81de8ca58 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | #####################################################################
# #
# /plugins/theme/__init__.py #
# #
# Copyright 2013, Monash University ... | 33.828704 | 133 | 0.562748 | #####################################################################
# #
# /plugins/theme/__init__.py #
# #
# Copyright 2013, Monash University ... | 0 | 0 | 0 | 3,520 | 0 | 35 | 0 | 4 | 156 |
dd5c1094c4eb664e3b19d4cf12493ffb79b7cb63 | 153 | py | Python | L2J_DataPack/data/scripts/cron/example.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | L2J_DataPack/data/scripts/cron/example.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | 38 | 2018-02-06T17:11:29.000Z | 2018-06-05T20:47:59.000Z | L2J_DataPack/data/scripts/cron/example.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | ##############################################
### Author: Layane (andrashe@gmail.com)
##############################################
print "Hi world!"
| 25.5 | 46 | 0.261438 | ##############################################
### Author: Layane (andrashe@gmail.com)
##############################################
print "Hi world!"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a46051c737e3d90fb1f15fd58c2913ac7baf8b9 | 5,854 | py | Python | Machine-Learning-in-Production/Reference/04-Pipeline-Example/06-Monitor.py | databricks-academy/ml-in-production | 1fd6713e18cfc36357f3a98d75fedc8ffbf9eedc | [
"CC0-1.0"
] | 14 | 2021-09-21T19:48:02.000Z | 2022-03-09T19:22:39.000Z | Machine-Learning-in-Production/Solutions/Reference/04-Pipeline-Example/06-Monitor.py | databricks-academy/ml-in-production | 1fd6713e18cfc36357f3a98d75fedc8ffbf9eedc | [
"CC0-1.0"
] | null | null | null | Machine-Learning-in-Production/Solutions/Reference/04-Pipeline-Example/06-Monitor.py | databricks-academy/ml-in-production | 1fd6713e18cfc36357f3a98d75fedc8ffbf9eedc | [
"CC0-1.0"
] | 5 | 2021-08-22T12:12:49.000Z | 2022-02-28T15:47:43.000Z | # Databricks notebook source
# MAGIC %md ### Drift Monitor
# MAGIC
# MAGIC This notebook is called by Orchestrate to determine if drift has occured over time.
# MAGIC
# MAGIC It takes in two time periods of data and determines if significant change has occurred in addition to a target directory to write the drift.
#... | 34.435294 | 148 | 0.659891 | # Databricks notebook source
# MAGIC %md ### Drift Monitor
# MAGIC
# MAGIC This notebook is called by Orchestrate to determine if drift has occured over time.
# MAGIC
# MAGIC It takes in two time periods of data and determines if significant change has occurred in addition to a target directory to write the drift.
#... | 0 | 0 | 0 | 3,288 | 0 | 0 | 0 | -3 | 112 |
c1048d3ad16471ad70fdb1594424304b1bbb73bd | 4,707 | py | Python | yolov3_deepsort_eval.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | 1 | 2021-02-28T15:22:43.000Z | 2021-02-28T15:22:43.000Z | yolov3_deepsort_eval.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | null | null | null | yolov3_deepsort_eval.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | null | null | null |
import motmetrics as mm
mm.lap.default_solver = 'lap'
if __name__ == '__main__':
#INFO:
#Bu .py dosyas videolar MOT16 kriterlerine gre deerlendiriyor.
#nce yolov3_deepsort.py arlp ilgili video iin outputlar retiliyor. (results.avi ve results.txt)
#daha sonra results.txt ve gt.txt kyaslanarak... | 38.900826 | 237 | 0.645634 | import os
import os.path as osp
import logging
import argparse
from pathlib import Path
from utils.log import get_logger
from yolov3_deepsort import VideoTracker
from utils.parser import get_config
import motmetrics as mm
mm.lap.default_solver = 'lap'
from utils.evaluation import Evaluator
def mkdir_if... | 122 | 0 | 0 | 0 | 0 | 2,976 | 0 | 39 | 284 |
f0062d1d878a0456f0b09fbf0b61001987923901 | 2,717 | py | Python | demo/DeepLog_demo_without_sequence.py | ZouJinying/XAI_loglizer | df3e9d91502c10b8c8d8871617b405cc0671308b | [
"MIT"
] | 1 | 2021-03-02T13:22:21.000Z | 2021-03-02T13:22:21.000Z | demo/DeepLog_demo_without_sequence.py | ZouJinying/XAI_loglizer | df3e9d91502c10b8c8d8871617b405cc0671308b | [
"MIT"
] | null | null | null | demo/DeepLog_demo_without_sequence.py | ZouJinying/XAI_loglizer | df3e9d91502c10b8c8d8871617b405cc0671308b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import matplotlib as plt
sys.path.append('../')
from loglizer import dataloader
from loglizer.models import DeepLog
from loglizer.preprocessing import Vectorizer, Iterator
from loglizer import x_ai
batch_size = 32
hidden_size = 32
num_directions = 2
topk = 5
... | 35.285714 | 219 | 0.715863 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import matplotlib as plt
import numpy as np
sys.path.append('../')
from loglizer import dataloader
from loglizer.models import DeepLog
from loglizer.preprocessing import Vectorizer, Iterator
from loglizer import x_ai
batch_size = 32
hidden_size = 32
num_dire... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
ae026536079a1af23bcb2ed7eb926e67dd7b310d | 6,664 | py | Python | python-package/test/geo_data/request_assertion.py | IKrukov-HORIS/lets-plot | b772e4abcc4c715ef3c3a2e3db55abd4044f863f | [
"MIT"
] | 768 | 2019-11-28T14:09:46.000Z | 2022-03-30T18:19:28.000Z | python-package/test/geo_data/request_assertion.py | IKrukov-HORIS/lets-plot | b772e4abcc4c715ef3c3a2e3db55abd4044f863f | [
"MIT"
] | 240 | 2019-12-04T20:15:03.000Z | 2022-03-30T17:12:23.000Z | python-package/test/geo_data/request_assertion.py | IKrukov-HORIS/lets-plot | b772e4abcc4c715ef3c3a2e3db55abd4044f863f | [
"MIT"
] | 43 | 2019-12-05T13:45:32.000Z | 2022-03-31T21:27:00.000Z | # Copyright (c) 2020. JetBrains s.r.o.
# Use of this source code is governed by the MIT license that can be found in the LICENSE file.
from typing import TypeVar
T = TypeVar('T')
| 33.32 | 114 | 0.651861 | # Copyright (c) 2020. JetBrains s.r.o.
# Use of this source code is governed by the MIT license that can be found in the LICENSE file.
from typing import TypeVar, Generic, Optional, List, Union
from lets_plot.geo_data.gis.geometry import GeoRect, GeoPoint
from lets_plot.geo_data.geocodes import _ensure_is_list
from... | 0 | 0 | 0 | 5,887 | 0 | 0 | 0 | 263 | 321 |
4d9998af6792157108804c5a24cc052ed3bda6aa | 5,591 | py | Python | tests/pheweb/load/field_formatter_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | null | null | null | tests/pheweb/load/field_formatter_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | null | null | null | tests/pheweb/load/field_formatter_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Test formatters.
Unit tests for column formatters.
"""
import uuid
import pytest
from pheweb.load.field_formatter import (str_formatter, chromosome_formatter, position_formatter, parameterized_sequence_formatter, p_value_formatter, m_log_from_p_value_formatter, se_beta_formatter, m_log_f... | 26.49763 | 78 | 0.654802 | # -*- coding: utf-8 -*-
"""
Test formatters.
Unit tests for column formatters.
"""
import uuid
from unittest.mock import patch
import pytest
from pheweb.load.field_formatter import (
str_formatter,
chromosome_formatter,
position_formatter,
parameterized_sequence_formatter,
p_value_formatter,
... | 0 | 554 | 0 | 0 | 0 | 0 | 0 | 49 | 45 |
08148b61d13428ed094312f5c601345ddf268700 | 462,798 | py | Python | src/mip_functions.py | arisp99/MIPTools | 072e5e4312e8f44294abc1a1fcc2b347e0b09567 | [
"MIT"
] | 3 | 2019-10-16T01:13:26.000Z | 2021-04-26T13:47:12.000Z | src/mip_functions.py | arisp99/MIPTools | 072e5e4312e8f44294abc1a1fcc2b347e0b09567 | [
"MIT"
] | 24 | 2021-09-30T19:11:29.000Z | 2022-03-23T21:22:11.000Z | src/mip_functions.py | arisp99/MIPTools | 072e5e4312e8f44294abc1a1fcc2b347e0b09567 | [
"MIT"
] | 4 | 2021-09-30T16:12:28.000Z | 2022-02-21T15:27:28.000Z | # -*- coding: utf-8 -*-
import subprocess
import json
import os
import io
from multiprocessing import Pool
import multiprocessing
from operator import itemgetter
import random
import string
import pickle
import copy
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors
import pysam
import pan... | 45.690394 | 121 | 0.546048 | # -*- coding: utf-8 -*-
import subprocess
import json
import os
import io
from multiprocessing import Pool
import multiprocessing
import multiprocessing.pool
from operator import itemgetter
import random
import string
import pickle
import copy
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import co... | 0 | 66 | 0 | 505 | 0 | 90,054 | 0 | 4 | 1,479 |
dbf2d2f45452381528bab4caca8f1f35c2e55cf4 | 13,733 | py | Python | config/custom_components/hacs/ws_api_handlers.py | aureliosaraiva/Home-AssistantConfig | 14b278c9d306fead2eb8eeae5008d6b69bad97a2 | [
"MIT"
] | 1 | 2020-01-28T00:25:15.000Z | 2020-01-28T00:25:15.000Z | config/custom_components/hacs/ws_api_handlers.py | aureliosaraiva/Home-AssistantConfig | 14b278c9d306fead2eb8eeae5008d6b69bad97a2 | [
"MIT"
] | null | null | null | config/custom_components/hacs/ws_api_handlers.py | aureliosaraiva/Home-AssistantConfig | 14b278c9d306fead2eb8eeae5008d6b69bad97a2 | [
"MIT"
] | null | null | null | """WebSocket API for HACS."""
# pylint: disable=unused-argument
| 36.139474 | 84 | 0.634384 | """WebSocket API for HACS."""
# pylint: disable=unused-argument
import sys
import os
import voluptuous as vol
from aiogithubapi import AIOGitHubException
from homeassistant.components import websocket_api
import homeassistant.helpers.config_validation as cv
from .hacsbase.exceptions import HacsException
from .store imp... | 0 | 12,348 | 642 | 0 | 0 | 0 | 0 | 218 | 451 |
c1c606b270a8b5313eedbebba29e9748c268f6b0 | 503 | py | Python | mlfinlab/portfolio_optimization/__init__.py | jihobak/mlfinlab | c504532729b44f6623255b2fcf105c2627cedec8 | [
"BSD-3-Clause"
] | 8 | 2020-04-19T08:09:34.000Z | 2022-03-30T20:49:40.000Z | mlfinlab/portfolio_optimization/__init__.py | jihobak/mlfinlab | c504532729b44f6623255b2fcf105c2627cedec8 | [
"BSD-3-Clause"
] | 1 | 2019-07-24T17:52:30.000Z | 2019-07-24T17:52:30.000Z | mlfinlab/portfolio_optimization/__init__.py | nisarahamedk/mlfinlab | c504532729b44f6623255b2fcf105c2627cedec8 | [
"BSD-3-Clause"
] | 8 | 2020-08-09T02:25:04.000Z | 2022-03-20T15:08:11.000Z | """
Classes derived from Portfolio Optimisation module
"""
| 45.727273 | 86 | 0.898608 | """
Classes derived from Portfolio Optimisation module
"""
from mlfinlab.portfolio_optimization.cla import CLA
from mlfinlab.portfolio_optimization.hrp import HierarchicalRiskParity
from mlfinlab.portfolio_optimization.mean_variance import MeanVarianceOptimisation
from mlfinlab.portfolio_optimization.hcaa import Hiera... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 311 | 133 |
b79fd0ab4740928394e4deca7b8f6a3cdc483886 | 6,672 | py | Python | simsi_transfer/transfer.py | kusterlab/SIMSI-Transfer | 2973895a222cbb30c0be88f2ee2ba0d1bf3ee8e5 | [
"Apache-2.0"
] | null | null | null | simsi_transfer/transfer.py | kusterlab/SIMSI-Transfer | 2973895a222cbb30c0be88f2ee2ba0d1bf3ee8e5 | [
"Apache-2.0"
] | null | null | null | simsi_transfer/transfer.py | kusterlab/SIMSI-Transfer | 2973895a222cbb30c0be88f2ee2ba0d1bf3ee8e5 | [
"Apache-2.0"
] | 1 | 2022-03-23T11:06:40.000Z | 2022-03-23T11:06:40.000Z | import re
import logging
import pandas as pd
import numpy as np
logger = logging.getLogger(__name__)
PHOSPHO_REGEX = re.compile(r'([STY])\(Phospho \(STY\)\)')
def transfer(summary_df, mask=False):
"""
Main function for transfers by clustering. Transfers identifications for merged dataframe and adds a colu... | 43.324675 | 115 | 0.715677 | import re
import logging
import pandas as pd
import numpy as np
from .merging_functions import merge_with_msmsscanstxt, merge_with_msmstxt, merge_with_summarytxt
logger = logging.getLogger(__name__)
PHOSPHO_REGEX = re.compile(r'([STY])\(Phospho \(STY\)\)')
def transfer(summary_df, mask=False):
"""
Main f... | 0 | 0 | 0 | 0 | 0 | 1,427 | 0 | 76 | 92 |
ad9a8181cc4c30e2dd92208d6a6466d7ae6d20cf | 3,073 | py | Python | mapie/aggregation_functions.py | RudrakshTuwani/MAPIE | 11940aed9c8eb85943513b26677d684cafda363c | [
"BSD-3-Clause"
] | null | null | null | mapie/aggregation_functions.py | RudrakshTuwani/MAPIE | 11940aed9c8eb85943513b26677d684cafda363c | [
"BSD-3-Clause"
] | null | null | null | mapie/aggregation_functions.py | RudrakshTuwani/MAPIE | 11940aed9c8eb85943513b26677d684cafda363c | [
"BSD-3-Clause"
] | null | null | null | from typing import Callable, Optional
import numpy as np
from ._typing import NDArray
def phi1D(
x: NDArray,
B: NDArray,
fun: Callable[[NDArray], NDArray],
) -> NDArray:
"""
The function phi1D is called by phi2D.
It aims at applying a function ``fun`` after multiplying each row
of B by x... | 25.608333 | 77 | 0.550927 | from typing import Callable, Optional
import numpy as np
from ._typing import NDArray
def phi1D(
x: NDArray,
B: NDArray,
fun: Callable[[NDArray], NDArray],
) -> NDArray:
"""
The function phi1D is called by phi2D.
It aims at applying a function ``fun`` after multiplying each row
of B by x... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b0eb3d0e55f26131aadaca08815c70eab932bc17 | 626 | py | Python | model/contactdetail.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | model/contactdetail.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | model/contactdetail.py | beda-software/fhir-py-experements | 363cfb894fa6f971b9be19340cae1b0a3a4377d8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.1-9346c8cc45 (http://hl7.org/fhir/StructureDefinition/ContactDetail) on 2020-02-03.
# 2020, SMART Health IT.
| 27.217391 | 110 | 0.734824 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.1-9346c8cc45 (http://hl7.org/fhir/StructureDefinition/ContactDetail) on 2020-02-03.
# 2020, SMART Health IT.
import sys
from dataclasses import dataclass, field
from typing import ClassVar, Optional, List
from .contactpoint import ContactPoint... | 0 | 253 | 0 | 0 | 0 | 0 | 0 | 54 | 134 |
e058d953531963092cfa3826cc6c3e620e4fd0b8 | 3,177 | py | Python | mars/tensor/random/random_sample.py | tomzhang/mars-1 | 6f1d85e37eb1b383251314cb0ba13e06288af03d | [
"Apache-2.0"
] | 2 | 2019-03-29T04:11:10.000Z | 2020-07-08T10:19:54.000Z | mars/tensor/random/random_sample.py | tomzhang/mars-1 | 6f1d85e37eb1b383251314cb0ba13e06288af03d | [
"Apache-2.0"
] | null | null | null | mars/tensor/random/random_sample.py | tomzhang/mars-1 | 6f1d85e37eb1b383251314cb0ba13e06288af03d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# 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-... | 35.696629 | 91 | 0.663834 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2020 Alibaba Group Holding Ltd.
#
# 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-... | 0 | 0 | 0 | 503 | 0 | 0 | 0 | 45 | 45 |
2e3046976626823b98618dfbcee4dfcfe90e65b7 | 326 | py | Python | iniciante/python/1009-salario-com-bonus.py | tfn10/beecrowd | 1ebf19ca9a253eb326160f03145d20be33064969 | [
"MIT"
] | null | null | null | iniciante/python/1009-salario-com-bonus.py | tfn10/beecrowd | 1ebf19ca9a253eb326160f03145d20be33064969 | [
"MIT"
] | null | null | null | iniciante/python/1009-salario-com-bonus.py | tfn10/beecrowd | 1ebf19ca9a253eb326160f03145d20be33064969 | [
"MIT"
] | null | null | null |
nome_vendendor = input()
sal_fixo = float(input())
vendas_total = float(input())
salario(nome_vendendor, sal_fixo, vendas_total)
| 27.166667 | 51 | 0.745399 | def salario(vendedor, salario_fixo, total_vendas):
comissao_ganha = total_vendas * 0.15
salario_total = comissao_ganha + salario_fixo
return print(f'TOTAL = R$ {salario_total:.2f}')
nome_vendendor = input()
sal_fixo = float(input())
vendas_total = float(input())
salario(nome_vendendor, sal_fixo, vendas_t... | 0 | 0 | 0 | 0 | 0 | 172 | 0 | 0 | 22 |
a53630b55627d96a385997c6637803404f341ca1 | 218 | py | Python | examples/fresh_desktop_folder.py | EGAdams/wexpect | 788a32689c632c71435c84e12f1c2de0c3b11f2c | [
"MIT"
] | null | null | null | examples/fresh_desktop_folder.py | EGAdams/wexpect | 788a32689c632c71435c84e12f1c2de0c3b11f2c | [
"MIT"
] | null | null | null | examples/fresh_desktop_folder.py | EGAdams/wexpect | 788a32689c632c71435c84e12f1c2de0c3b11f2c | [
"MIT"
] | null | null | null | '''
'''
from ProjectFactory import ProjectFactory
import wexpect
wexpect.TIMEOUT
# Start cmd as child process
child = wexpect.spawn('cmd.exe')
project_factory = ProjectFactory( child )
project_factory.build_project()
| 19.818182 | 41 | 0.788991 | '''
'''
from ProjectFactory import ProjectFactory
import wexpect
wexpect.TIMEOUT
# Start cmd as child process
child = wexpect.spawn('cmd.exe')
project_factory = ProjectFactory( child )
project_factory.build_project()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9800f9f7b553fafeecd154df416931cc5e1810cf | 1,417 | py | Python | rupo/files/test_reader.py | dagrigorev/rupo | 3b1bb5873f3d0f8ef4fe662221d5f7a3573909cc | [
"Apache-2.0"
] | 171 | 2017-06-06T17:01:32.000Z | 2022-02-03T10:32:54.000Z | rupo/files/test_reader.py | GraphGrailAi/rupo | 8e2fbcdb3e948dd5e8f007d471171c730be3ad3d | [
"Apache-2.0"
] | 12 | 2017-03-20T18:09:54.000Z | 2021-07-28T17:39:38.000Z | rupo/files/test_reader.py | GraphGrailAi/rupo | 8e2fbcdb3e948dd5e8f007d471171c730be3ad3d | [
"Apache-2.0"
] | 33 | 2017-03-29T13:27:56.000Z | 2022-02-21T18:36:38.000Z | # -*- coding: utf-8 -*-
# :
# : .
| 39.361111 | 99 | 0.731828 | # -*- coding: utf-8 -*-
# Автор: Гусев Илья
# Описание: Тесты считывателя разметок.
import unittest
from rupo.files.reader import Reader, FileType
from rupo.stress.predictor import CombinedStressPredictor
from rupo.main.markup import Markup, Line, Word
from rupo.settings import MARKUP_XML_EXAMPLE, TEXT_XML_EXAMPLE, M... | 92 | 73 | 0 | 981 | 0 | 0 | 0 | 143 | 135 |
6b67346426a648b1e1e354f5be90817e4a9b671d | 3,476 | py | Python | quietnet.py | hellcoderz/quietnet | 6a8e4e0c55cb21f83dddcabda4939852edef7ce9 | [
"MIT"
] | 1 | 2016-08-16T16:25:10.000Z | 2016-08-16T16:25:10.000Z | quietnet.py | hellcoderz/quietnet | 6a8e4e0c55cb21f83dddcabda4939852edef7ce9 | [
"MIT"
] | null | null | null | quietnet.py | hellcoderz/quietnet | 6a8e4e0c55cb21f83dddcabda4939852edef7ce9 | [
"MIT"
] | null | null | null |
# split something into chunks
| 30.491228 | 123 | 0.640967 | import numpy as np
import struct
import math
# split something into chunks
def chunks(l, n):
for i in xrange(0, len(l), n):
yield l[i:i+n]
def unpack(buffer):
return unpack_buffer(list(chunks(buffer, 2)))
def unpack_buffer(buffer):
return [struct.unpack('h', frame)[0] for frame in buffer]
def pa... | 0 | 0 | 0 | 0 | 54 | 2,887 | 0 | -21 | 525 |
026e22c3b3045fe1dd293068fb8607ccb8dc9017 | 2,126 | py | Python | utilization/directory_utils.py | omidmirzajani/CodART | eb56455ad81d7c6afc07fc35fae867ae49c035e0 | [
"MIT"
] | null | null | null | utilization/directory_utils.py | omidmirzajani/CodART | eb56455ad81d7c6afc07fc35fae867ae49c035e0 | [
"MIT"
] | null | null | null | utilization/directory_utils.py | omidmirzajani/CodART | eb56455ad81d7c6afc07fc35fae867ae49c035e0 | [
"MIT"
] | null | null | null | """
Utilities related to project directory.
"""
import os
import subprocess
def git_restore(project_dir):
"""
This function executes "git restore ." on the given project directory.
:param project_dir: A string and Absolute path of the project's directory.
:return: None
"""
assert os.path.isdi... | 35.433333 | 118 | 0.695202 | """
Utilities related to project directory.
"""
import os
import subprocess
def git_restore(project_dir):
"""
This function executes "git restore ." on the given project directory.
:param project_dir: A string and Absolute path of the project's directory.
:return: None
"""
assert os.path.isdi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e833a17f2245ace79cc20f1ceac8118c4d9b72bf | 616 | py | Python | tests/more-tests/version/test_old_version.py | vishalbelsare/pysd | 54fa0f137a882c2b0967ee0afb0e9080e3c12d48 | [
"MIT"
] | null | null | null | tests/more-tests/version/test_old_version.py | vishalbelsare/pysd | 54fa0f137a882c2b0967ee0afb0e9080e3c12d48 | [
"MIT"
] | null | null | null | tests/more-tests/version/test_old_version.py | vishalbelsare/pysd | 54fa0f137a882c2b0967ee0afb0e9080e3c12d48 | [
"MIT"
] | null | null | null | __pysd_version__ = "1.5.0"
_namespace = {}
_dependencies = {}
__data = {'scope': None, 'time': lambda: 0}
_control_vars = {
"initial_time": lambda: 0,
"final_time": lambda: 20,
"time_step": lambda: 1,
"saveper": lambda: time_step()
}
| 15.794872 | 43 | 0.62987 | __pysd_version__ = "1.5.0"
_namespace = {}
_dependencies = {}
__data = {'scope': None, 'time': lambda: 0}
_control_vars = {
"initial_time": lambda: 0,
"final_time": lambda: 20,
"time_step": lambda: 1,
"saveper": lambda: time_step()
}
def _init_outer_references(data):
for key in data:
__... | 0 | 0 | 0 | 0 | 0 | 219 | 0 | 0 | 138 |
55f65d8efe3919c68a7f6904d76785a75c3c0075 | 2,290 | py | Python | rioxarray/_options.py | raybellwaves/rioxarray | c5203665aa1a7e76e4729df9a80568f999db01dc | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-02-16T10:54:09.000Z | 2022-02-16T10:54:09.000Z | rioxarray/_options.py | raybellwaves/rioxarray | c5203665aa1a7e76e4729df9a80568f999db01dc | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | rioxarray/_options.py | raybellwaves/rioxarray | c5203665aa1a7e76e4729df9a80568f999db01dc | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | """
This file contains global options for rioxarray
Credits:
This file was adopted from: https://github.com/pydata/xarray # noqa
Source file: https://github.com/pydata/xarray/blob/2ab0666c1fcc493b1e0ebc7db14500c427f8804e/xarray/core/options.py # noqa
"""
from typing import Any
EXPORT_GRID_MAPPING = "export_grid_map... | 27.590361 | 122 | 0.637991 | """
This file contains global options for rioxarray
Credits:
This file was adopted from: https://github.com/pydata/xarray # noqa
Source file: https://github.com/pydata/xarray/blob/2ab0666c1fcc493b1e0ebc7db14500c427f8804e/xarray/core/options.py # noqa
"""
from typing import Any
EXPORT_GRID_MAPPING = "export_grid_map... | 0 | 0 | 0 | 1,535 | 0 | 0 | 0 | 0 | 23 |
be15dd1a24e9856864f2f4d0cbea298be145f61e | 2,234 | py | Python | gen_set_cover.py | RaulMurillo/OPT_UCM | 08817e00c1f56b73f5cfa639f1710e368bc0e427 | [
"MIT"
] | null | null | null | gen_set_cover.py | RaulMurillo/OPT_UCM | 08817e00c1f56b73f5cfa639f1710e368bc0e427 | [
"MIT"
] | null | null | null | gen_set_cover.py | RaulMurillo/OPT_UCM | 08817e00c1f56b73f5cfa639f1710e368bc0e427 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import csv
import random
from pathlib import Path
Path("data").mkdir(parents=True, exist_ok=True)
def gen_sets(N_sets, N_elems, max_cost=10, sep=' ', filename='set_cover'):
"""Function that generates a file of integer tuples for using as input for
set cover problems.
... | 31.914286 | 108 | 0.634736 | #!/usr/bin/env python
# coding: utf-8
import csv
import random
from pathlib import Path
Path("data").mkdir(parents=True, exist_ok=True)
def gen_elems(N_elems):
# There is no posibility any set contains all elements
n = random.randint(1, (N_elems-1)//10) # 1 <= n <= (N_elems-1)/10 # uniform distribution
ra... | 0 | 0 | 0 | 0 | 0 | 308 | 0 | 0 | 23 |
e7510a92572bee86efd5085b398abce67512570b | 1,043 | py | Python | get_wayback_machine/get.py | patjenk/get-wayback-machine | 1bc9cf2eb2d8d8fea9c6e032a268d8f55816c114 | [
"MIT"
] | null | null | null | get_wayback_machine/get.py | patjenk/get-wayback-machine | 1bc9cf2eb2d8d8fea9c6e032a268d8f55816c114 | [
"MIT"
] | null | null | null | get_wayback_machine/get.py | patjenk/get-wayback-machine | 1bc9cf2eb2d8d8fea9c6e032a268d8f55816c114 | [
"MIT"
] | null | null | null | from datetime import datetime
import requests
def check_availability(url_str, datetime_fetched=None):
"""
Use the web api to see if a page is available.
https://archive.org/help/wayback_api.php
"""
wayback_url = "http://archive.org/wayback/available"
params = {
'url': url_str.split('?... | 34.766667 | 112 | 0.674017 | from datetime import datetime
import requests
def check_availability(url_str, datetime_fetched=None):
"""
Use the web api to see if a page is available.
https://archive.org/help/wayback_api.php
"""
wayback_url = "http://archive.org/wayback/available"
params = {
'url': url_str.split('?... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9350ee2def40d0e7fc2a051814b966e05eb93f62 | 2,975 | py | Python | minlp-tokenizer/minlptokenizer/lexicon.py | aseaday/MiNLP | 7d0c578bbe6c8af5c1c3ca14b59df49e88c239b4 | [
"Apache-2.0"
] | 1 | 2020-11-18T01:54:21.000Z | 2020-11-18T01:54:21.000Z | minlp-tokenizer/minlptokenizer/lexicon.py | 210000ling/MiNLP | cc9e668a40f8804262d3733e4365608c2e79df3d | [
"Apache-2.0"
] | null | null | null | minlp-tokenizer/minlptokenizer/lexicon.py | 210000ling/MiNLP | cc9e668a40f8804262d3733e4365608c2e79df3d | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The MiNLP Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 33.055556 | 87 | 0.619832 | # Copyright 2020 The MiNLP Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 204 | 0 | 0 | 2,197 | 0 | 0 | 0 | 8 | 68 |
52232e037219d76a9b436254eb7e8b9015168c35 | 1,004 | py | Python | leetcode/Bit Manipulation/338. Counting Bits.py | yanshengjia/algorithm | 0608d286be9c93d51768d47f21e569c6b0be9cda | [
"MIT"
] | 23 | 2019-08-02T12:02:47.000Z | 2022-03-09T15:24:16.000Z | leetcode/Bit Manipulation/338. Counting Bits.py | yanshengjia/algorithm | 0608d286be9c93d51768d47f21e569c6b0be9cda | [
"MIT"
] | null | null | null | leetcode/Bit Manipulation/338. Counting Bits.py | yanshengjia/algorithm | 0608d286be9c93d51768d47f21e569c6b0be9cda | [
"MIT"
] | 21 | 2019-12-22T04:47:32.000Z | 2021-09-12T14:29:35.000Z | """
Given a non negative integer number num. For every numbers i in the range 0 i num calculate the number of 1's in their binary representation and return them as an array.
Example 1:
Input: 2
Output: [0,1,1]
Example 2:
Input: 5
Output: [0,1,1,2,1,2]
Follow up:
It is very easy to come up with a solution with run... | 26.421053 | 173 | 0.634462 | """
Given a non negative integer number num. For every numbers i in the range 0 ≤ i ≤ num calculate the number of 1's in their binary representation and return them as an array.
Example 1:
Input: 2
Output: [0,1,1]
Example 2:
Input: 5
Output: [0,1,1,2,1,2]
Follow up:
It is very easy to come up with a solution with r... | 12 | 0 | 0 | 291 | 0 | 0 | 0 | 0 | 22 |
62b5885175ed39f170b97178fa537d53c162a926 | 1,126 | py | Python | 00_Original/33_Datenspeicherung/Datenbanken/sqlite_adapter_und_konverter.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | 00_Original/33_Datenspeicherung/Datenbanken/sqlite_adapter_und_konverter.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | 00_Original/33_Datenspeicherung/Datenbanken/sqlite_adapter_und_konverter.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sqlite3
# Adapter und Konverter registrieren
sqlite3.register_adapter(Kreis, kreisadapter)
sqlite3.register_converter("KREIS", kreiskonverter)
# Hier wird eine Beispieldatenbank im Arbeitsspeicher mit
# einer einspaltigen Tabelle fr Kreise definiert
connection = s... | 28.15 | 64 | 0.705151 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sqlite3
class Kreis:
def __init__(self, mx, my, r):
self.Mx = mx
self.My = my
self.R = r
def kreisadapter(k):
return "{};{};{}".format(k.Mx, k.My, k.R)
def kreiskonverter(bytestring):
mx, my, r = bytestring.split(b";")
retu... | 2 | 0 | 0 | 87 | 0 | 143 | 0 | 0 | 69 |
b2352a092fa15e959a77ca2b3d1668d80811f28c | 3,616 | py | Python | tmac/preprocessing.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | tmac/preprocessing.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | tmac/preprocessing.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | import numpy as np
from scipy import interpolate, optimize
import torch
def interpolate_over_nans(input_mat, t=None):
""" Function to interpolate over NaN values along the first dimension of a matrix
Args:
input_mat: numpy array, [time, neurons]
t: optional time vector, only useful if input_m... | 36.897959 | 119 | 0.675055 | import numpy as np
from scipy import interpolate, optimize
import torch
def interpolate_over_nans(input_mat, t=None):
""" Function to interpolate over NaN values along the first dimension of a matrix
Args:
input_mat: numpy array, [time, neurons]
t: optional time vector, only useful if input_m... | 0 | 0 | 0 | 0 | 0 | 412 | 0 | 0 | 81 |
cbb3595ad2824d65a823fa3b8d905af52ff8c5c5 | 22,401 | py | Python | src/condor_tests/ornithology/handles.py | tpdownes/htcondor | 5fe77864d03fb2ea087c656f77fd533c568860e9 | [
"Apache-2.0"
] | 1 | 2021-11-23T04:17:11.000Z | 2021-11-23T04:17:11.000Z | src/condor_tests/ornithology/handles.py | tpdownes/htcondor | 5fe77864d03fb2ea087c656f77fd533c568860e9 | [
"Apache-2.0"
] | null | null | null | src/condor_tests/ornithology/handles.py | tpdownes/htcondor | 5fe77864d03fb2ea087c656f77fd533c568860e9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 HTCondor Team, Computer Sciences Department,
# University of Wisconsin-Madison, WI.
#
# 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/LICE... | 33.889561 | 107 | 0.61774 | # Copyright 2019 HTCondor Team, Computer Sciences Department,
# University of Wisconsin-Madison, WI.
#
# 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/LICE... | 0 | 1,857 | 0 | 18,711 | 0 | 0 | 0 | 16 | 293 |
cb95272044605c9f125f6f5b1545505429b13459 | 3,841 | py | Python | pyorient/constants.py | brucetony/pyorient | d106350dc49b17605beb33e2f29f3ad11c637b88 | [
"Apache-2.0"
] | 142 | 2015-01-12T06:34:59.000Z | 2022-01-19T10:34:30.000Z | pyorient/constants.py | wangjingzhou10/pyorient | d106350dc49b17605beb33e2f29f3ad11c637b88 | [
"Apache-2.0"
] | 40 | 2015-05-01T07:24:07.000Z | 2021-08-30T10:08:37.000Z | pyorient/constants.py | wangjingzhou10/pyorient | d106350dc49b17605beb33e2f29f3ad11c637b88 | [
"Apache-2.0"
] | 53 | 2015-02-02T18:50:30.000Z | 2021-09-18T12:52:31.000Z | __author__ = 'mogui <mogui83@gmail.com>'
#
# Driver Constants
#
NAME = "OrientDB Python binary client (pyorient)"
VERSION = "1.5.6"
SUPPORTED_PROTOCOL = 36
#
# Binary Types
#
# Types Constants
BOOLEAN = 1 # Single byte: 1 = true, 0 = false
BYTE = 2
SHORT = 3
INT = 4
LONG = 5
BYTES = 6 # Used for binary data.
STRING... | 25.104575 | 80 | 0.736267 | __author__ = 'mogui <mogui83@gmail.com>'
#
# Driver Constants
#
NAME = "OrientDB Python binary client (pyorient)"
VERSION = "1.5.6"
SUPPORTED_PROTOCOL = 36
#
# Binary Types
#
# Types Constants
BOOLEAN = 1 # Single byte: 1 = true, 0 = false
BYTE = 2
SHORT = 3
INT = 4
LONG = 5
BYTES = 6 # Used for binary data.
STRING... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8b55a668303fafac7b42ab383bf5b377d5dcf77a | 281 | py | Python | oosy.py | rockerBOO/oosy | 699413b847b456bf306ff67b700ed4ee356b2606 | [
"MIT"
] | null | null | null | oosy.py | rockerBOO/oosy | 699413b847b456bf306ff67b700ed4ee356b2606 | [
"MIT"
] | null | null | null | oosy.py | rockerBOO/oosy | 699413b847b456bf306ff67b700ed4ee356b2606 | [
"MIT"
] | null | null | null | import tornado.ioloop
import tornado.web
import modules.Index
application = tornado.web.Application([
(r"/", modules.Index.Index),
(r"/hotdogs", modules.Index.Index),
])
if __name__ == "__main__":
application.listen(8888)
tornado.ioloop.IOLoop.instance().start() | 21.615385 | 44 | 0.708185 | import tornado.ioloop
import tornado.web
import modules.Index
application = tornado.web.Application([
(r"/", modules.Index.Index),
(r"/hotdogs", modules.Index.Index),
])
if __name__ == "__main__":
application.listen(8888)
tornado.ioloop.IOLoop.instance().start() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cfa15e5491c2b3569e9381d51a8719bce5e60c22 | 2,793 | py | Python | src/build_csv.py | jakebobu/world-bank | 625ce08cff7f406de3a9c91c64ca7793ca78e351 | [
"MIT"
] | null | null | null | src/build_csv.py | jakebobu/world-bank | 625ce08cff7f406de3a9c91c64ca7793ca78e351 | [
"MIT"
] | null | null | null | src/build_csv.py | jakebobu/world-bank | 625ce08cff7f406de3a9c91c64ca7793ca78e351 | [
"MIT"
] | null | null | null | import pandas as pd
def select_restack(name, save=False):
'''
This functon retrieves the data sheets, then it reorients them such that the
features are the columns and the data frame is doube indexed by country_name
and year ('level_1')
Parameters
----------
name: string, name of csv in da... | 33.650602 | 90 | 0.600072 | import pandas as pd
import numpy as np
def select_restack(name, save=False):
'''
This functon retrieves the data sheets, then it reorients them such that the
features are the columns and the data frame is doube indexed by country_name
and year ('level_1')
Parameters
----------
name: string... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
cfd0f8a1ec679bee3187481f158966acff1a18a4 | 599 | py | Python | src/data/1006.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/1006.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/1006.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | from collections import deque
n, Q = map(int, input().split())
graph = [[] for i in range(n)]
for i in range(n - 1):
a, b = map(int, input().split())
graph[a - 1].append(b - 1)
graph[b - 1].append(a - 1)
dist = [-1] * n
dist[0] = 0
q = deque()
q.append(0)
while q:
v = q.popleft()
for i in set(gr... | 18.71875 | 39 | 0.477462 | from collections import deque
n, Q = map(int, input().split())
graph = [[] for i in range(n)]
for i in range(n - 1):
a, b = map(int, input().split())
graph[a - 1].append(b - 1)
graph[b - 1].append(a - 1)
dist = [-1] * n
dist[0] = 0
q = deque()
q.append(0)
while q:
v = q.popleft()
for i in set(gr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e6423ca129b5d4c27ea8f7aa25668e9975f7476f | 4,150 | py | Python | nafc/api/print_table_result.py | kimdoanh89/fastcli | d63ebeb6290a83f42dc424b56c0db5841361b6e2 | [
"MIT"
] | 33 | 2020-10-02T07:11:00.000Z | 2022-01-17T16:58:41.000Z | nafc/api/print_table_result.py | kimdoanh89/fastcli | d63ebeb6290a83f42dc424b56c0db5841361b6e2 | [
"MIT"
] | null | null | null | nafc/api/print_table_result.py | kimdoanh89/fastcli | d63ebeb6290a83f42dc424b56c0db5841361b6e2 | [
"MIT"
] | 10 | 2020-10-02T07:11:03.000Z | 2021-12-21T08:58:02.000Z | """nornir_scrapli.functions.print_structured_result"""
import logging
import threading
from scrapli.response import Response
from nornir.core.task import AggregatedResult, MultiResult, Result
from nornir_scrapli.result import ScrapliResult
from rich.console import Console
from rich.table import Table
LOCK = threadin... | 38.073394 | 84 | 0.595181 | """nornir_scrapli.functions.print_structured_result"""
import logging
import threading
from scrapli.response import Response
from nornir.core.task import AggregatedResult, MultiResult, Result
from nornir_scrapli.result import ScrapliResult
from rich.console import Console
from rich.table import Table
LOCK = threadin... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b02f75224b5ffa8883b359c2301600b050fd483c | 1,234 | py | Python | src/cms_extensions/middleware.py | quiquegarcia/2020-website | 02dd1e42ddaab5712e4faa7bcc2c5f80c68d0e8d | [
"MIT"
] | null | null | null | src/cms_extensions/middleware.py | quiquegarcia/2020-website | 02dd1e42ddaab5712e4faa7bcc2c5f80c68d0e8d | [
"MIT"
] | null | null | null | src/cms_extensions/middleware.py | quiquegarcia/2020-website | 02dd1e42ddaab5712e4faa7bcc2c5f80c68d0e8d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 36.294118 | 90 | 0.703404 | # -*- coding: utf-8 -*-
import datetime
from django.utils import translation
from django.conf import settings
from cms.utils.compat.dj import MiddlewareMixin
class LanguageCookieMiddleware(MiddlewareMixin):
def process_request(self, request):
language = translation.get_language()
request_langua... | 0 | 0 | 0 | 1,050 | 0 | 0 | 0 | 46 | 113 |
8ef246ed6e0e662e5f01e1569b0adfa9a9c13e7c | 1,336 | py | Python | sandbox/test_motor.py | pravinas/et-maslab-2016 | d666e126881130658130df5ba97831d9a1869b9e | [
"MIT"
] | null | null | null | sandbox/test_motor.py | pravinas/et-maslab-2016 | d666e126881130658130df5ba97831d9a1869b9e | [
"MIT"
] | null | null | null | sandbox/test_motor.py | pravinas/et-maslab-2016 | d666e126881130658130df5ba97831d9a1869b9e | [
"MIT"
] | null | null | null |
# Cycles a motor back and forth between -255 and 255 PWM every ~5 seconds
if __name__ == "__main__":
sketch = MotorWrite(1, -0.00001, 100)
sketch.run() | 32.585366 | 73 | 0.552395 | from tamproxy import SyncedSketch, Timer
from tamproxy.devices import Motor
# Cycles a motor back and forth between -255 and 255 PWM every ~5 seconds
class MotorWrite(SyncedSketch):
def setup(self):
self.motor1 = Motor(self.tamp, 2, 3)
self.motor1.write(1,0)
self.motor2 = Motor(self.tamp,... | 0 | 0 | 0 | 1,075 | 0 | 0 | 0 | 32 | 67 |
07591906f56e3f99881109abea3cae023b6b95b2 | 5,293 | py | Python | pred_model/sourceCode/collect_data.py | 1ofsomepeople/flask-learn | 80a0fe8b8d191972e418664c46533bd6f535d8b0 | [
"MIT"
] | null | null | null | pred_model/sourceCode/collect_data.py | 1ofsomepeople/flask-learn | 80a0fe8b8d191972e418664c46533bd6f535d8b0 | [
"MIT"
] | null | null | null | pred_model/sourceCode/collect_data.py | 1ofsomepeople/flask-learn | 80a0fe8b8d191972e418664c46533bd6f535d8b0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Time : 2020/9/13
@Author : Shen Fang
"""
import os
import argparse
if __name__ == '__main__':
# map_image = read_image("level_14.png")
# patch = map_image[900:2000, 900:]
# plt.imshow(patch)
# plt.show()
parser = argparse.ArgumentParser(description="Process ... | 28.154255 | 106 | 0.567731 | # -*- coding: utf-8 -*-
"""
@Time : 2020/9/13
@Author : Shen Fang
"""
import os
import datetime
import os.path as osp
import numpy as np
import matplotlib.pyplot as plt
import argparse
def color2value(rgb):
def rgb2hsv(rgb):
r, g, b = rgb[0], rgb[1], rgb[2]
m_x = max(r, g, b)
m_n = min(... | 12 | 0 | 0 | 1,846 | 0 | 1,974 | 0 | 1 | 249 |
145150c5d625747eb960aea0c09f96409f71a83f | 93 | py | Python | app/user/__init__.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | 6 | 2019-11-07T09:32:43.000Z | 2021-09-02T22:37:14.000Z | app/user/__init__.py | pnsn/squacapi | e330a925aff38937656983841e495ba3824c11e1 | [
"MIT"
] | 196 | 2019-10-04T17:03:36.000Z | 2022-03-31T17:54:59.000Z | app/user/__init__.py | pnsn/squac_api | 7b1741cd32dbc32972f75ac53958468fdf7d04ee | [
"MIT"
] | null | null | null | # to load signals receiver called in App.ready()
default_app_config = 'user.apps.UserConfig'
| 31 | 48 | 0.784946 | # to load signals receiver called in App.ready()
default_app_config = 'user.apps.UserConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7fe2b99601e48255660da3c6ebc5581946dcaf68 | 489 | py | Python | staeon_node/wallet/urls.py | priestc/staeon-node | 8455e8caf30af2c27dd034b62191e13459255f92 | [
"MIT"
] | null | null | null | staeon_node/wallet/urls.py | priestc/staeon-node | 8455e8caf30af2c27dd034b62191e13459255f92 | [
"MIT"
] | null | null | null | staeon_node/wallet/urls.py | priestc/staeon-node | 8455e8caf30af2c27dd034b62191e13459255f92 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from .views import (serv_wallet, accept_remote_registration, register_new_wallet_user, login, update_settings)
urlpatterns = [
url(r'registration/remote', accept_remote_registration),
url(r'registration', register_new_wallet_user, name='register_new_wallet_user'),
url(r'^log... | 37.615385 | 84 | 0.746421 | from django.conf.urls import url, include
from .views import (
serv_wallet, accept_remote_registration, register_new_wallet_user, login,
update_settings
)
urlpatterns = [
url(r'registration/remote', accept_remote_registration),
url(r'registration', register_new_wallet_user, name='register_new_wallet_use... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 |
421b2eb82fe334d0e7ef9bf4321c1cb35308271a | 172 | py | Python | codecademy/io/write_number.py | haozai309/hello_python | deaa0621f549ff786bc36ccee48430d1d130690b | [
"Apache-2.0"
] | null | null | null | codecademy/io/write_number.py | haozai309/hello_python | deaa0621f549ff786bc36ccee48430d1d130690b | [
"Apache-2.0"
] | null | null | null | codecademy/io/write_number.py | haozai309/hello_python | deaa0621f549ff786bc36ccee48430d1d130690b | [
"Apache-2.0"
] | null | null | null |
my_list = [i**2 for i in range(1,11)]
my_file = open("output.txt", "r+")
# Add your code below!
for item in my_list:
my_file.write(str(item) + "\n")
my_file.close() | 17.2 | 37 | 0.627907 |
my_list = [i**2 for i in range(1,11)]
my_file = open("output.txt", "r+")
# Add your code below!
for item in my_list:
my_file.write(str(item) + "\n")
my_file.close() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7d50a83148362efcf1ac09a97b60d3c9bba40b9b | 4,068 | py | Python | src/config.py | owenwater/alfred-ime | b6a8f91718f777f98020e8f9c11f4a38f31cc4ae | [
"MIT"
] | 6 | 2017-02-07T14:47:03.000Z | 2022-03-03T14:54:09.000Z | src/config.py | owenwater/alfred-ime | b6a8f91718f777f98020e8f9c11f4a38f31cc4ae | [
"MIT"
] | 1 | 2020-08-20T14:38:16.000Z | 2020-08-20T14:38:16.000Z | src/config.py | owenwater/alfred-ime | b6a8f91718f777f98020e8f9c11f4a38f31cc4ae | [
"MIT"
] | 2 | 2015-02-13T14:33:31.000Z | 2019-05-03T10:11:11.000Z | #!/usr/bin/python
import sys
LOG = None
if __name__=="__main__":
config = Config(' '.join(sys.argv[1:]))
config.execute()
#setter = ConfigSetter(' '.join(sys.argv[1:]))
#setter.execute()
| 30.133333 | 88 | 0.559489 | #!/usr/bin/python
import sys
from workflow.workflow import Settings
from workflow import Workflow
from const import Const
LOG = None
class ITCConfig(object):
ITC_CONFIG_FILE_NAME = "config/itc.config"
def __init__(self):
self.langs = Settings(ITCConfig.ITC_CONFIG_FILE_NAME)
class ConfigSetter(objec... | 0 | 0 | 0 | 3,698 | 0 | 0 | 0 | 27 | 136 |
e5d661a1d881b217a3d3092788f4bc6474c314d7 | 1,003 | py | Python | moment/admin.py | PPER/Webgame | 7ee8e9b980b80bf107bf8549e62ff036f1e36822 | [
"MIT"
] | null | null | null | moment/admin.py | PPER/Webgame | 7ee8e9b980b80bf107bf8549e62ff036f1e36822 | [
"MIT"
] | null | null | null | moment/admin.py | PPER/Webgame | 7ee8e9b980b80bf107bf8549e62ff036f1e36822 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from django.contrib import admin
from .models import Story_File_Status, Wonder_Archive_People, Wonder_Archive_GT, Chat_Log, Store_Card, Shopping_Cart, Shopping_Product, Daily_Story_File_Status, Basic_Setting, Current_Archive, Store_Card_Own
""" class... | 40.12 | 198 | 0.820538 | from django.contrib import admin
# Register your models here.
from django.contrib import admin
from .models import Story_File_Status,Wonder_Archive_People,Wonder_Archive_GT,Chat_Log,Store_Card,Shopping_Cart,Shopping_Product,Daily_Story_File_Status,Basic_Setting,Current_Archive,Store_Card_Own
""" class Wonder_Ar... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 0 |
c216cd79233d2aca25f1d9377bba5f6c617b8d6e | 1,391 | py | Python | fairypptx/parts/_markdown/toml_config.py | Sillte/fairypptx | 926d277e7692bcf1dd0d365e9c0e26e8d495bafb | [
"MIT"
] | null | null | null | fairypptx/parts/_markdown/toml_config.py | Sillte/fairypptx | 926d277e7692bcf1dd0d365e9c0e26e8d495bafb | [
"MIT"
] | null | null | null | fairypptx/parts/_markdown/toml_config.py | Sillte/fairypptx | 926d277e7692bcf1dd0d365e9c0e26e8d495bafb | [
"MIT"
] | null | null | null | """Handles conversion of `markdown`
Here, `toml` is used to communicate `attributes` as for `markdown`.
Main purpose is to describe `style` of the documentation.
* `toml`'s data is returned as Python primitive types.
Speficiation
-------------
If the firstline of the document starts with ```,
and it is a v... | 17.833333 | 81 | 0.608914 | """Handles conversion of `markdown`
Here, `toml` is used to communicate `attributes` as for `markdown`.
Main purpose is to describe `style` of the documentation.
* `toml`'s data is returned as Python primitive types.
Speficiation
-------------
If the firstline of the document starts with ```,
and it is a v... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 22 |
96ad24d7c709d834a136681e62ae551149d71e6d | 705 | py | Python | download_cifar10.py | jbcdnr/deit-collaborative-attention | 07905829be28eac1277cbc0255796feeab589bfc | [
"Apache-2.0"
] | null | null | null | download_cifar10.py | jbcdnr/deit-collaborative-attention | 07905829be28eac1277cbc0255796feeab589bfc | [
"Apache-2.0"
] | null | null | null | download_cifar10.py | jbcdnr/deit-collaborative-attention | 07905829be28eac1277cbc0255796feeab589bfc | [
"Apache-2.0"
] | null | null | null |
if __name__ == "__main__":
main()
| 30.652174 | 82 | 0.642553 | import torchvision
from pathlib import Path
import tqdm
def main():
tmp = Path("tmp")
target_dir = Path("cifar10")
dataset_train = torchvision.datasets.CIFAR10("tmp", train=True, download=True)
dataset_test = torchvision.datasets.CIFAR10("tmp", train=True, download=True)
for split, dataset in [("... | 0 | 0 | 0 | 0 | 0 | 585 | 0 | -10 | 89 |
1897ef755d64dbd4e47a18963dc4a0e4be065a94 | 218 | py | Python | todo/todo_app/todo_list/models.py | code-with-kotaro/simple-todo-app | c6aecd53ec0f40bdf5290d526bf0f0d834035d3a | [
"bzip2-1.0.6"
] | null | null | null | todo/todo_app/todo_list/models.py | code-with-kotaro/simple-todo-app | c6aecd53ec0f40bdf5290d526bf0f0d834035d3a | [
"bzip2-1.0.6"
] | 11 | 2020-06-05T20:37:58.000Z | 2022-03-12T00:12:19.000Z | todo/todo_app/todo_list/models.py | code-with-kotaro/simple-todo-app | c6aecd53ec0f40bdf5290d526bf0f0d834035d3a | [
"bzip2-1.0.6"
] | null | null | null |
# Create your models here. | 21.8 | 43 | 0.711009 | from django.db import models
# Create your models here.
class Todo(models.Model):
current_date = models.DateTimeField()
text = models.CharField(max_length=200)
def __str__(self):
return self.text | 0 | 0 | 0 | 139 | 0 | 0 | 0 | 7 | 44 |
d712c6f63efe5a77144e4fae4adc0cd488c453a6 | 6,716 | py | Python | utils/variables_helper.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | 6 | 2019-08-05T08:54:46.000Z | 2021-06-29T08:36:58.000Z | utils/variables_helper.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | null | null | null | utils/variables_helper.py | ChenCongGit/Chinese-aster | 3e4ad7e1cc36ad071e4e5dd1017d7d415d686d8d | [
"MIT"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.162304 | 101 | 0.720518 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
64d6b1957907cdd59163cb86511344b4d245870b | 15,895 | py | Python | normalizing_flows_typed/flows.py | kiwi0fruit/jats-semi-supervised-pytorch | 67e9bb85f09f8ef02e17e495784d1d9a71c3adec | [
"MIT"
] | null | null | null | normalizing_flows_typed/flows.py | kiwi0fruit/jats-semi-supervised-pytorch | 67e9bb85f09f8ef02e17e495784d1d9a71c3adec | [
"MIT"
] | null | null | null | normalizing_flows_typed/flows.py | kiwi0fruit/jats-semi-supervised-pytorch | 67e9bb85f09f8ef02e17e495784d1d9a71c3adec | [
"MIT"
] | null | null | null | """
Code by Tony Duan was forked from https://github.com/tonyduan/normalizing-flows
MIT License
Copyright (c) 2019 Tony Duan, 2019 Peter Zagubisalo
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | 36.87935 | 113 | 0.574269 | """
Code by Tony Duan was forked from https://github.com/tonyduan/normalizing-flows
MIT License
Copyright (c) 2019 Tony Duan, 2019 Peter Zagubisalo
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Softwar... | 92 | 0 | 0 | 13,509 | 0 | 227 | 0 | 0 | 276 |
30bac15ded2a9c0549c4de1e45471f33bb64f382 | 646 | py | Python | FaceTrackingDrone/FaceTracking.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | 1 | 2022-03-12T00:47:24.000Z | 2022-03-12T00:47:24.000Z | FaceTrackingDrone/FaceTracking.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | null | null | null | FaceTrackingDrone/FaceTracking.py | udayagopi587/ArealRobotics_AutonomousDrone | 6bc10ee167076086abb3b2eef311ae43f457f21d | [
"MIT"
] | 1 | 2022-03-14T23:42:57.000Z | 2022-03-14T23:42:57.000Z | import cv2
w,h = 360,240
pid = [0.4,0.4,0]
pError = 0
startCounter = 0 # for no Flight 1 - for flight 0
myDrone = initializeTello()
while True:
## Flight
if startCounter == 0:
myDrone.takeoff()
startCounter = 1
## Step 1
img = telloGetFrame(myDrone,w,h)
... | 22.275862 | 83 | 0.552632 | from utlis import *
import cv2
w,h = 360,240
pid = [0.4,0.4,0]
pError = 0
startCounter = 0 # for no Flight 1 - for flight 0
myDrone = initializeTello()
while True:
## Flight
if startCounter == 0:
myDrone.takeoff()
startCounter = 1
## Step 1
img = telloGe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 23 |
0d07139dd67d3ad3edbe7e562d4a3ae793c8505f | 26 | py | Python | rasa_core/version.py | gkniesel/rasa_core | 00b2d1e05304d07945a3d973e4832f446ed2a921 | [
"Apache-2.0"
] | 1 | 2021-04-08T13:04:52.000Z | 2021-04-08T13:04:52.000Z | rasa_core/version.py | gkniesel/rasa_core | 00b2d1e05304d07945a3d973e4832f446ed2a921 | [
"Apache-2.0"
] | 1 | 2019-02-11T16:58:11.000Z | 2019-02-11T17:07:55.000Z | rasa_core/version.py | gkniesel/rasa_core | 00b2d1e05304d07945a3d973e4832f446ed2a921 | [
"Apache-2.0"
] | 6 | 2018-09-19T20:53:13.000Z | 2018-10-24T14:37:12.000Z |
__version__ = '0.14.0a1'
| 8.666667 | 24 | 0.653846 |
__version__ = '0.14.0a1'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b5ead709001eee90be095a5f7991799d205823d7 | 3,304 | py | Python | start-a-project/init_project.py | MacHu-GWU/elementary_math-project | 3a7512e3ca8283c64ec0e2bbe91de35be0fd064d | [
"MIT"
] | 27 | 2016-05-31T20:24:24.000Z | 2021-01-13T07:06:54.000Z | start-a-project/init_project.py | liushilive/elementary_math-project | 3a7512e3ca8283c64ec0e2bbe91de35be0fd064d | [
"MIT"
] | 1 | 2018-05-18T16:10:11.000Z | 2018-05-18T16:10:11.000Z | start-a-project/init_project.py | liushilive/elementary_math-project | 3a7512e3ca8283c64ec0e2bbe91de35be0fd064d | [
"MIT"
] | 18 | 2016-09-02T09:56:46.000Z | 2019-05-08T02:41:45.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This script can generate automate scripts for open source python project.
Scroll to ``if __name__ == "__main__":`` for more info.
"""
from __future__ import print_function
import sys
import datetime
from os import walk, mkdir
from os.path import join, abspath, dirnam... | 30.036364 | 78 | 0.588983 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This script can generate automate scripts for open source python project.
Scroll to ``if __name__ == "__main__":`` for more info.
"""
from __future__ import print_function
import sys
import datetime
from os import walk, mkdir
from os.path import join, abspath, dirnam... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d67da868abc3acbc317563d0ad5604d0e509242d | 16,252 | py | Python | AppServer/google/appengine/tools/endpointscfg.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | AppServer/google/appengine/tools/endpointscfg.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | AppServer/google/appengine/tools/endpointscfg.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 36.195991 | 80 | 0.707421 | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 0 | 0 | 0 | 1,121 | 0 | 248 | 0 | 0 | 46 |
d120a7d2e974648bc373d39aae3f0c7148d88918 | 2,419 | py | Python | sdks/bkpaas-auth/bkpaas_auth/core/user_info.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | 1 | 2022-03-03T02:23:00.000Z | 2022-03-03T02:23:00.000Z | sdks/bkpaas-auth/bkpaas_auth/core/user_info.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | null | null | null | sdks/bkpaas-auth/bkpaas_auth/core/user_info.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 28.458824 | 93 | 0.622571 | # -*- coding: utf-8 -*-
from typing import TYPE_CHECKING
from bkpaas_auth.core.constants import ProviderType
from bkpaas_auth.core.encoder import user_id_encoder
if TYPE_CHECKING:
from bkpaas_auth.models import User # noqa
class UserInfo:
"""Base class for Userinfo"""
provider_type: ProviderType
... | 111 | 0 | 0 | 2,080 | 0 | 0 | 0 | 75 | 148 |
2316407c1c0d30daad86d030951951936f69eb17 | 5,736 | py | Python | II rok/II semestr/SI/Pracownia 1/Zadanie 3/poker.py | antonitomaszewski/Studia | ff2fa59e25cf3f5c86b59de9994b80a502ec1e7b | [
"MIT"
] | null | null | null | II rok/II semestr/SI/Pracownia 1/Zadanie 3/poker.py | antonitomaszewski/Studia | ff2fa59e25cf3f5c86b59de9994b80a502ec1e7b | [
"MIT"
] | null | null | null | II rok/II semestr/SI/Pracownia 1/Zadanie 3/poker.py | antonitomaszewski/Studia | ff2fa59e25cf3f5c86b59de9994b80a502ec1e7b | [
"MIT"
] | null | null | null | from functools import reduce
flip = lambda f : lambda x, y : f(y, x)
foldr = lambda f, z, xs : reduce(flip(f), reversed(xs), z)
foldl = lambda f, z, xs : reduce(f, xs, z)
removeDuplicates = lambda xs : list(set([tuple(x) for x in xs]))
# kier - heart
# karo - diamond
# trefl - club
# pik - spade
# as = Ace
# krl - King... | 33.156069 | 139 | 0.572176 | from functools import reduce
import random
flip = lambda f : lambda x, y : f(y, x)
foldr = lambda f, z, xs : reduce(flip(f), reversed(xs), z)
foldl = lambda f, z, xs : reduce(f, xs, z)
removeDuplicates = lambda xs : list(set([tuple(x) for x in xs]))
# kier - heart
# karo - diamond
# trefl - club
# pik - spade
# as = Ac... | 14 | 0 | 0 | 0 | 0 | 4,526 | 0 | -8 | 181 |
b11151ccf386a13e5fcf36ff3ac652d4180ee326 | 1,843 | py | Python | scripts/server.py | locaweb/leela-docs | 6c810ff3fcb6e44e0971affdfdb2b4e0425be1ba | [
"Apache-2.0"
] | 2 | 2015-11-29T21:47:57.000Z | 2019-06-05T22:40:02.000Z | scripts/server.py | locaweb/leela-docs | 6c810ff3fcb6e44e0971affdfdb2b4e0425be1ba | [
"Apache-2.0"
] | null | null | null | scripts/server.py | locaweb/leela-docs | 6c810ff3fcb6e44e0971affdfdb2b4e0425be1ba | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import sys; _stdout = sys.stdout; _stderr = sys.stderr;
import bottle
import os.path
import threading
bottle.debug(True)
srcroot = os.path.join(os.path.dirname(__file__), "..")
sphinxbuild = os.environ.get("SPHINXBUILD", "sphinx-build")
devnull = open(os.devnull, "w")
t = threading.T... | 26.710145 | 126 | 0.632664 | # -*- coding: utf-8 -*-
import sys; _stdout = sys.stdout; _stderr = sys.stderr;
import re
import time
import bottle
import os.path
import hashlib
import threading
import subprocess
bottle.debug(True)
srcroot = os.path.join(os.path.dirname(__file__), "..")
sphinxbuild = os.environ.get("SPHINXBUILD", "sphinx-build... | 0 | 367 | 0 | 0 | 0 | 831 | 0 | -33 | 180 |
8e77d3a34983b66634cfa17bab18ac48a71aa529 | 2,659 | py | Python | scripts/field/direction_foxvillage.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/field/direction_foxvillage.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/field/direction_foxvillage.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | LUMPS = 3002001
SALLY = 3002002
SNIFFS = 3002003
TWITCH = 3002004
SILVER = 3002005
COMPASS = 3002006
TIMBER = 3002007
BROOK = 3002008
PATIENCE = 3002009
TUMBLEWEED = 3002105
sm.lockInGameUI(True)
sm.forcedInput(0)
sm.spawnNpc(LUMPS, 300, 89)
sm.showNpcSpecialActionByTemplateId(LUMPS, "summon")
sm.spawnNpc(SALLY, -17... | 31.654762 | 287 | 0.773975 | LUMPS = 3002001
SALLY = 3002002
SNIFFS = 3002003
TWITCH = 3002004
SILVER = 3002005
COMPASS = 3002006
TIMBER = 3002007
BROOK = 3002008
PATIENCE = 3002009
TUMBLEWEED = 3002105
sm.lockInGameUI(True)
sm.forcedInput(0)
sm.spawnNpc(LUMPS, 300, 89)
sm.showNpcSpecialActionByTemplateId(LUMPS, "summon")
sm.spawnNpc(SALLY, -17... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
317036df9ace965c05d8242958399dfea0845e67 | 19,447 | py | Python | torent/comunicator.py | JulianWww/torent | e07290ed398796c93b34d31ea62e4be6c2ddb5af | [
"MIT"
] | null | null | null | torent/comunicator.py | JulianWww/torent | e07290ed398796c93b34d31ea62e4be6c2ddb5af | [
"MIT"
] | null | null | null | torent/comunicator.py | JulianWww/torent | e07290ed398796c93b34d31ea62e4be6c2ddb5af | [
"MIT"
] | null | null | null | """python variable scharer
the class implementation of a variable scharer for python
"""
NoneType = type(None)
"the type of None"
def decriptUUIDname(uuid):
"""converts a uuid gerated by the system to
converts a uuid gerated by the system to ip and port
@param uuid: the uuid to decript
... | 43.79955 | 377 | 0.622718 | """python variable scharer
the class implementation of a variable scharer for python
"""
import socket, threading, time
from jpe_types.paralel import LockableThread, threadInharitanceFilter
from jpe_types.conversions.intager import baseN
from torent.client import client
import logging
NoneType = type(None... | 0 | 0 | 0 | 18,613 | 0 | 0 | 0 | 87 | 142 |