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class | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c334cd6809fae5b8cf2760630ff5474a4bc0f6b | 7,348 | py | Python | prepare.py | obitto/relation-network | 2cbea587c9d43d6e02dba8ddd79e9ae18eca5356 | [
"MIT"
] | null | null | null | prepare.py | obitto/relation-network | 2cbea587c9d43d6e02dba8ddd79e9ae18eca5356 | [
"MIT"
] | null | null | null | prepare.py | obitto/relation-network | 2cbea587c9d43d6e02dba8ddd79e9ae18eca5356 | [
"MIT"
] | null | null | null | import numpy as np
import json
from nltk.tokenize import word_tokenize
from PIL import Image
import os
import h5py
from random import shuffle
class ClevrDataset(object):
"""
This is the dataset for clevr task.
"""
def __init__(self, config, dataset_name = 'train' , shuffle = False, load_vocab = False):
if data... | 30.87395 | 174 | 0.664807 | import numpy as np
import json
from nltk.tokenize import word_tokenize
from PIL import Image
import os
import h5py
from random import shuffle
class ClevrDataset(object):
def __init__(self, config, dataset_name = 'train' , shuffle = False, load_vocab = False):
if dataset_name == 'train':
self.question_path = 'd... | true | true |
1c334ddc98738db0e05cabf20e610f1a0a62f889 | 21,417 | py | Python | train.py | kyuhyoung/yolact | 98fc78e963264d2ec18cf1b85de7a328abcd6e96 | [
"MIT"
] | 3 | 2020-09-29T00:04:00.000Z | 2021-06-23T07:54:57.000Z | train.py | kyuhyoung/yolact | 98fc78e963264d2ec18cf1b85de7a328abcd6e96 | [
"MIT"
] | 1 | 2020-08-19T16:35:26.000Z | 2020-08-19T17:22:07.000Z | train.py | kyuhyoung/yolact | 98fc78e963264d2ec18cf1b85de7a328abcd6e96 | [
"MIT"
] | 3 | 2020-03-11T17:03:03.000Z | 2021-07-11T02:56:19.000Z | from data import *
from utils.augmentations import SSDAugmentation, BaseTransform
from utils.functions import MovingAverage, SavePath
from utils.logger import Log
from utils import timer
from layers.modules import MultiBoxLoss
from yolact import Yolact
import os
import sys
import time
import math, random
from pathlib i... | 42.578529 | 196 | 0.608068 | from data import *
from utils.augmentations import SSDAugmentation, BaseTransform
from utils.functions import MovingAverage, SavePath
from utils.logger import Log
from utils import timer
from layers.modules import MultiBoxLoss
from yolact import Yolact
import os
import sys
import time
import math, random
from pathlib i... | true | true |
1c334e49a1724d0025acbd6ef5ed3baac910efb5 | 3,269 | py | Python | xfeltor/load.py | HenrikJantti/xFELTOR | 321fe73ce28fa590baedabc0aa13c5ba50a32dff | [
"MIT"
] | null | null | null | xfeltor/load.py | HenrikJantti/xFELTOR | 321fe73ce28fa590baedabc0aa13c5ba50a32dff | [
"MIT"
] | 1 | 2022-01-26T11:53:42.000Z | 2022-01-26T11:53:42.000Z | xfeltor/load.py | HenrikJantti/xFELTOR | 321fe73ce28fa590baedabc0aa13c5ba50a32dff | [
"MIT"
] | null | null | null | import xarray as xr
import numpy as np
from typing import Union
import json
def open_feltordataset(
datapath: str = "./*.nc",
chunks: Union[int, dict] = None,
restart_indices: bool = False,
probes: bool = False,
**kwargs: dict,
) -> xr.Dataset:
"""Loads FELTOR output into one xarray Dataset. C... | 33.701031 | 99 | 0.61762 | import xarray as xr
import numpy as np
from typing import Union
import json
def open_feltordataset(
datapath: str = "./*.nc",
chunks: Union[int, dict] = None,
restart_indices: bool = False,
probes: bool = False,
**kwargs: dict,
) -> xr.Dataset:
if chunks is None:
chunks = {}
combi... | true | true |
1c334fb05c5a8d5c3556b5f5c031aaf7ad9fdb70 | 14,472 | py | Python | flax/linen/normalization.py | AI-App/FLAX | 25dd368d9f35d276fe0999f9468c71a284eb3d96 | [
"Apache-2.0"
] | null | null | null | flax/linen/normalization.py | AI-App/FLAX | 25dd368d9f35d276fe0999f9468c71a284eb3d96 | [
"Apache-2.0"
] | 10 | 2022-01-19T11:32:54.000Z | 2022-02-09T23:47:20.000Z | flax/linen/normalization.py | slowy07/flax | fb4f2a455d4cae383f11d77707bf0d0f18a45e70 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Flax Authors.
#
# 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 wri... | 39.867769 | 100 | 0.6894 |
from typing import (Any, Callable, Optional, Tuple, Iterable, Union)
from jax import lax
from jax.nn import initializers
import jax.numpy as jnp
from flax.linen.module import Module, compact, merge_param
PRNGKey = Any
Array = Any
Shape = Tuple[int]
Dtype = Any
Axes = Union[int, Iterable[int]]
def _canonicaliz... | true | true |
1c33502e4d76d3079ade89c8c30b3af81f805584 | 268 | py | Python | tests/artificial/transf_Difference/trend_ConstantTrend/cycle_5/ar_/test_artificial_32_Difference_ConstantTrend_5__20.py | shaido987/pyaf | b9afd089557bed6b90b246d3712c481ae26a1957 | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/artificial/transf_Difference/trend_ConstantTrend/cycle_5/ar_/test_artificial_32_Difference_ConstantTrend_5__20.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/artificial/transf_Difference/trend_ConstantTrend/cycle_5/ar_/test_artificial_32_Difference_ConstantTrend_5__20.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 5, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 0); | 38.285714 | 168 | 0.735075 | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 5, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 0); | true | true |
1c3350aaa6a4bb05a67615451625477c84bb2507 | 3,667 | py | Python | repoman/depot_operations.py | jsoriano/python-repoman | 308c141ce7177238c70f78facf1fc2642cf485aa | [
"Apache-2.0"
] | 6 | 2015-08-10T09:42:55.000Z | 2021-11-08T10:26:02.000Z | repoman/depot_operations.py | jsoriano/python-repoman | 308c141ce7177238c70f78facf1fc2642cf485aa | [
"Apache-2.0"
] | 11 | 2017-08-28T17:38:24.000Z | 2019-05-31T12:49:31.000Z | repoman/depot_operations.py | jsoriano/python-repoman | 308c141ce7177238c70f78facf1fc2642cf485aa | [
"Apache-2.0"
] | 7 | 2015-02-14T16:15:41.000Z | 2021-09-29T09:53:26.000Z | #!/usr/bin/env python
#
# Copyright 2014 Tuenti Technologies S.L.
#
# 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... | 30.815126 | 77 | 0.641942 |
from repoman.depot import Depot
class DepotOperations(object):
KIND = None
@classmethod
def get_depot_operations(cls, repo_kind):
try:
mod = __import__("repoman.%s.depot_operations" % (repo_kind),
fromlist=['DepotOperations'])
... | true | true |
1c3350fd75ff2f1bea44df5b72d7e2556a0ee1e7 | 441 | py | Python | rest/recording/list-get-example-2/list-get-example-2.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | 2 | 2017-11-23T11:31:20.000Z | 2018-01-22T04:14:02.000Z | rest/recording/list-get-example-2/list-get-example-2.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | null | null | null | rest/recording/list-get-example-2/list-get-example-2.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | 2 | 2020-05-22T23:31:21.000Z | 2021-06-10T18:33:45.000Z | # Download the Python helper library from twilio.com/docs/python/install
from twilio.rest import TwilioRestClient
# Your Account Sid and Auth Token from twilio.com/user/account
account_sid = "ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
auth_token = "your_auth_token"
client = TwilioRestClient(account_sid, auth_token)
# A list... | 40.090909 | 72 | 0.823129 | from twilio.rest import TwilioRestClient
account_sid = "ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
auth_token = "your_auth_token"
client = TwilioRestClient(account_sid, auth_token)
recordings = client.recordings.list(date_created="2016-10-18")
| true | true |
1c3351362491dc874ae6c3ccf9a6c1876506b1e8 | 4,730 | py | Python | docs/check_and_draw_box.py | alexchungio/under-water-detect | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | 1 | 2022-02-17T12:14:59.000Z | 2022-02-17T12:14:59.000Z | docs/check_and_draw_box.py | alexchungio/under-water-object-detect-2020 | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | null | null | null | docs/check_and_draw_box.py | alexchungio/under-water-object-detect-2020 | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#------------------------------------------------------
# @ File : check_and_draw_box.py
# @ Description:
# @ Author : Alex Chung
# @ Contact : yonganzhong@outlook.com
# @ License : Copyright (c) 2017-2018
# @ Time : 2021/1/26 下午2:43
# @ Software :... | 35.56391 | 117 | 0.571247 | import os
import json
import os.path as osp
import numpy as np
from PIL import Image, ImageFont, ImageDraw
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
from tqdm import tqdm
def draw_box_with_pil(image, bbox, label, color_dict):
img_w = image.size[0]
img_h = image.size[1]
bbox =... | true | true |
1c33516987ce24441f9b98964ec2c2675d908382 | 9,566 | py | Python | sunshine_conversations_client/model/message_webhook.py | Dima2022/sunshine-conversations-python | 8085a82dc320d97f09bb0174d11dd1865a65404a | [
"Apache-2.0"
] | 4 | 2020-09-27T14:28:25.000Z | 2022-02-02T13:51:29.000Z | sunshine_conversations_client/model/message_webhook.py | Dima2022/sunshine-conversations-python | 8085a82dc320d97f09bb0174d11dd1865a65404a | [
"Apache-2.0"
] | 3 | 2021-09-30T18:18:58.000Z | 2021-12-04T07:55:23.000Z | sunshine_conversations_client/model/message_webhook.py | Dima2022/sunshine-conversations-python | 8085a82dc320d97f09bb0174d11dd1865a65404a | [
"Apache-2.0"
] | 5 | 2020-11-07T02:08:18.000Z | 2021-12-07T17:10:23.000Z | # coding: utf-8
"""
Sunshine Conversations API
The version of the OpenAPI document: 9.4.5
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from sunshine_conversations_client.configuration import Configuration
from sunshine_conversations_client.undefine... | 28.640719 | 203 | 0.589275 |
import pprint
import re
import six
from sunshine_conversations_client.configuration import Configuration
from sunshine_conversations_client.undefined import Undefined
class MessageWebhook(object):
openapi_types = {
'id': 'str',
'received': 'str',
'author': 'AuthorWebhook',
... | true | true |
1c33525922cd3446f90a3cac5e50b77916646871 | 497 | py | Python | app.py | KeisukeShima/streamlit-proj | a50c57a8f0effd484b4015fd1e027746c3b35647 | [
"MIT"
] | null | null | null | app.py | KeisukeShima/streamlit-proj | a50c57a8f0effd484b4015fd1e027746c3b35647 | [
"MIT"
] | null | null | null | app.py | KeisukeShima/streamlit-proj | a50c57a8f0effd484b4015fd1e027746c3b35647 | [
"MIT"
] | null | null | null | import streamlit as st
import plotly.graph_objs as go
animals = ['giraffes', 'orangutans', 'monkeys']
populations = [20, 14, 23]
fig = go.Figure(data=[go.Bar(x=animals, y=populations)])
fig.update_layout(
xaxis = dict(
tickangle = 0,
title_text = "Animal",
title_font = {"size": 20},
... | 23.666667 | 56 | 0.629779 | import streamlit as st
import plotly.graph_objs as go
animals = ['giraffes', 'orangutans', 'monkeys']
populations = [20, 14, 23]
fig = go.Figure(data=[go.Bar(x=animals, y=populations)])
fig.update_layout(
xaxis = dict(
tickangle = 0,
title_text = "Animal",
title_font = {"size": 20},
... | true | true |
1c3352f770946400356a22ead7df951cd76e504c | 7,267 | py | Python | stream_module.py | antofuller/configaformers | 293253cd35d96c8a24c4004ba3d24fc6dc85a260 | [
"Apache-2.0"
] | 51 | 2021-11-03T19:52:07.000Z | 2021-12-14T16:56:30.000Z | stream_module.py | muddyrains/muddy-nets | 293253cd35d96c8a24c4004ba3d24fc6dc85a260 | [
"Apache-2.0"
] | null | null | null | stream_module.py | muddyrains/muddy-nets | 293253cd35d96c8a24c4004ba3d24fc6dc85a260 | [
"Apache-2.0"
] | 2 | 2021-11-04T01:46:26.000Z | 2021-11-06T08:39:35.000Z | import torch
from torch import nn
from utils import set_default
class MakeStream(nn.Module):
def __init__(self,
config,
_streams,
):
super().__init__()
"""
Make data stream
"""
# Configure input(s) and output(s)
sel... | 36.70202 | 114 | 0.553874 | import torch
from torch import nn
from utils import set_default
class MakeStream(nn.Module):
def __init__(self,
config,
_streams,
):
super().__init__()
self.input_name = set_default(_look='input_name', _dict=config, _default='x')
s... | true | true |
1c3353193d455c706d4e720bf2bc76ea6e47d636 | 10,765 | py | Python | 86833/tanks_test1.py | PlatovDmitriy/Tanks | 62e16e5da8325a1ca22f21a474f97afc682f546e | [
"CC0-1.0"
] | null | null | null | 86833/tanks_test1.py | PlatovDmitriy/Tanks | 62e16e5da8325a1ca22f21a474f97afc682f546e | [
"CC0-1.0"
] | null | null | null | 86833/tanks_test1.py | PlatovDmitriy/Tanks | 62e16e5da8325a1ca22f21a474f97afc682f546e | [
"CC0-1.0"
] | null | null | null | from pygame import *
from time import time as timer
x = 10
y = 10
x1 = 500
y1 = 500
font.init()
font1 = font.SysFont('Arial',36)
BLACK = (0,0,0)
class GameSprite(sprite.Sprite):
def __init__(self, player_image, player_x, player_y, x_speed, y_speed):
super().__init__()
self.image = transf... | 32.621212 | 76 | 0.51203 | from pygame import *
from time import time as timer
x = 10
y = 10
x1 = 500
y1 = 500
font.init()
font1 = font.SysFont('Arial',36)
BLACK = (0,0,0)
class GameSprite(sprite.Sprite):
def __init__(self, player_image, player_x, player_y, x_speed, y_speed):
super().__init__()
self.image = transf... | true | true |
1c33540ebf27a45236b9d7996d28384d42f3ce87 | 350 | py | Python | examples/cli_examples/set_sort_groups_by_shank.py | LorenFrankLab/SpyGlass | 5c2764b6ba5f7e9e47ddad5d2b9ce5039a0d3f41 | [
"MIT"
] | 1 | 2022-03-22T12:13:18.000Z | 2022-03-22T12:13:18.000Z | examples/cli_examples/set_sort_groups_by_shank.py | LorenFrankLab/SpyGlass | 5c2764b6ba5f7e9e47ddad5d2b9ce5039a0d3f41 | [
"MIT"
] | 17 | 2022-03-22T14:42:04.000Z | 2022-03-31T23:58:39.000Z | examples/cli_examples/set_sort_groups_by_shank.py | LorenFrankLab/SpyGlass | 5c2764b6ba5f7e9e47ddad5d2b9ce5039a0d3f41 | [
"MIT"
] | 1 | 2022-03-23T20:04:25.000Z | 2022-03-23T20:04:25.000Z | #!/usr/bin/env python3
import spyglass.common as sgc
nwb_file_name = 'RN2_20191110_.nwb'
sgc.SortGroup().set_group_by_shank(
nwb_file_name=nwb_file_name,
references=None,
omit_ref_electrode_group=False
)
print(sgc.SortGroup & {'nwb_file_name': nwb_file_name})
print(sgc.SortGroup.SortGroupElectrode & {'n... | 25 | 74 | 0.78 |
import spyglass.common as sgc
nwb_file_name = 'RN2_20191110_.nwb'
sgc.SortGroup().set_group_by_shank(
nwb_file_name=nwb_file_name,
references=None,
omit_ref_electrode_group=False
)
print(sgc.SortGroup & {'nwb_file_name': nwb_file_name})
print(sgc.SortGroup.SortGroupElectrode & {'nwb_file_name': nwb_file... | true | true |
1c3354f45e59b7e88ce6f4d0e8f69626393a1065 | 1,888 | py | Python | mmdet/datasets/pipelines/__init__.py | HT-hlf/mmdetection_miner-2.22.0 | 76eb94d6547f9f95cd58f41bb5c91941e82322b9 | [
"Apache-2.0"
] | null | null | null | mmdet/datasets/pipelines/__init__.py | HT-hlf/mmdetection_miner-2.22.0 | 76eb94d6547f9f95cd58f41bb5c91941e82322b9 | [
"Apache-2.0"
] | null | null | null | mmdet/datasets/pipelines/__init__.py | HT-hlf/mmdetection_miner-2.22.0 | 76eb94d6547f9f95cd58f41bb5c91941e82322b9 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
from .auto_augment import (AutoAugment, BrightnessTransform, ColorTransform,
ContrastTransform, EqualizeTransform, Rotate, Shear,
Translate)
from .compose import Compose
from .formatting import (Collect, DefaultFormatB... | 62.933333 | 130 | 0.711864 | from .auto_augment import (AutoAugment, BrightnessTransform, ColorTransform,
ContrastTransform, EqualizeTransform, Rotate, Shear,
Translate)
from .compose import Compose
from .formatting import (Collect, DefaultFormatBundle, ImageToTensor,
T... | true | true |
1c33550df5289d9baea0397f15634c63d4cc3235 | 22,474 | py | Python | sympy/functions/elementary/tests/test_complexes.py | pbrady/sympy | 7163137e22fbefbb645147a15147b26dad220d49 | [
"BSD-3-Clause"
] | 1 | 2019-06-27T13:40:28.000Z | 2019-06-27T13:40:28.000Z | sympy/functions/elementary/tests/test_complexes.py | amitsaha/sympy | 43ddfc644fd604a3dc0d4cac0aebfecd051917c1 | [
"BSD-3-Clause"
] | null | null | null | sympy/functions/elementary/tests/test_complexes.py | amitsaha/sympy | 43ddfc644fd604a3dc0d4cac0aebfecd051917c1 | [
"BSD-3-Clause"
] | null | null | null | from sympy import (
Abs, adjoint, arg, atan2, conjugate, cos, DiracDelta, E, exp, expand,
Expr, Function, Heaviside, I, im, log, nan, oo, pi, Rational, re, S,
sign, sin, sqrt, Symbol, symbols, transpose, zoo, exp_polar, Piecewise,
Interval, comp
)
from sympy.utilities.pytest import XFAIL, raises
def N... | 31.300836 | 79 | 0.581249 | from sympy import (
Abs, adjoint, arg, atan2, conjugate, cos, DiracDelta, E, exp, expand,
Expr, Function, Heaviside, I, im, log, nan, oo, pi, Rational, re, S,
sign, sin, sqrt, Symbol, symbols, transpose, zoo, exp_polar, Piecewise,
Interval, comp
)
from sympy.utilities.pytest import XFAIL, raises
def N... | true | true |
1c33561b46f8ec90a73d5b7fa4f7967740fc7fcc | 1,509 | py | Python | autorest/python/emsapi/models/adi_ems_web_api_v2_dto_parameter_set_parameter_set_group.py | ge-flight-analytics/ems-api-wrappers | 5e787e0cbc72e7a3b06fa83ff6ba07968231f89c | [
"MIT"
] | 2 | 2017-02-20T18:32:02.000Z | 2018-08-01T11:45:29.000Z | autorest/python/emsapi/models/adi_ems_web_api_v2_dto_parameter_set_parameter_set_group.py | ge-flight-analytics/ems-api-wrappers | 5e787e0cbc72e7a3b06fa83ff6ba07968231f89c | [
"MIT"
] | 10 | 2017-02-20T16:17:04.000Z | 2019-04-02T16:52:49.000Z | autorest/python/emsapi/models/adi_ems_web_api_v2_dto_parameter_set_parameter_set_group.py | ge-flight-analytics/ems-api-wrappers | 5e787e0cbc72e7a3b06fa83ff6ba07968231f89c | [
"MIT"
] | 2 | 2017-02-18T23:22:20.000Z | 2017-02-20T19:35:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from ... | 39.710526 | 96 | 0.617628 |
from msrest.serialization import Model
class AdiEmsWebApiV2DtoParameterSetParameterSetGroup(Model):
_attribute_map = {
'name': {'key': 'name', 'type': 'str'},
'group_id': {'key': 'groupId', 'type': 'str'},
'groups': {'key': 'groups', 'type': '[AdiEmsWebApiV2DtoParameterSetParameterSetGro... | true | true |
1c3356481cbd526a3b1e27b3157fe0a9488be0bf | 7,356 | py | Python | lib/streamlit/elements/multiselect.py | AnOctopus/streamlit | 6c5384f62c1415538347fa751185e5c487673f82 | [
"Apache-2.0"
] | 19,099 | 2019-08-25T14:00:15.000Z | 2022-03-31T21:00:28.000Z | lib/streamlit/elements/multiselect.py | AnOctopus/streamlit | 6c5384f62c1415538347fa751185e5c487673f82 | [
"Apache-2.0"
] | 3,078 | 2019-08-25T19:50:14.000Z | 2022-03-31T23:26:14.000Z | lib/streamlit/elements/multiselect.py | AnOctopus/streamlit | 6c5384f62c1415538347fa751185e5c487673f82 | [
"Apache-2.0"
] | 1,892 | 2019-08-26T04:44:24.000Z | 2022-03-30T16:11:51.000Z | # Copyright 2018-2021 Streamlit 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 or agreed to in wr... | 40.640884 | 111 | 0.635943 |
from textwrap import dedent
from typing import Any, Callable, Optional, cast, List
import streamlit
from streamlit.errors import StreamlitAPIException
from streamlit.proto.MultiSelect_pb2 import MultiSelect as MultiSelectProto
from streamlit.state.widgets import register_widget
from streamlit.type_util import Key, Op... | true | true |
1c33566bd3a34dff0c3f58954874dafac386d95b | 9,622 | py | Python | dask_ml/linear_model/glm.py | laprej/dask-ml | 78b1d942eae14db442a744f8812c3e94a8f31272 | [
"BSD-3-Clause"
] | 3 | 2017-06-13T22:36:45.000Z | 2017-09-20T16:08:47.000Z | dask_ml/linear_model/glm.py | laprej/dask-ml | 78b1d942eae14db442a744f8812c3e94a8f31272 | [
"BSD-3-Clause"
] | null | null | null | dask_ml/linear_model/glm.py | laprej/dask-ml | 78b1d942eae14db442a744f8812c3e94a8f31272 | [
"BSD-3-Clause"
] | 1 | 2019-12-03T13:23:52.000Z | 2019-12-03T13:23:52.000Z | # -*- coding: utf-8 -*-
"""Generalized Linear Models for large datasets."""
import textwrap
from dask_glm import algorithms, families
from dask_glm.utils import (accuracy_score, add_intercept, dot, exp,
mean_squared_error, poisson_deviance, sigmoid)
from sklearn.base import BaseEstimator
#... | 29.515337 | 79 | 0.568177 | import textwrap
from dask_glm import algorithms, families
from dask_glm.utils import (accuracy_score, add_intercept, dot, exp,
mean_squared_error, poisson_deviance, sigmoid)
from sklearn.base import BaseEstimator
from . import utils from ..utils import check_array
_base_doc = textwrap.d... | true | true |
1c3357a25cce6c5948007ae0ef84e1c93beb4b30 | 697 | py | Python | fixture/application.py | VictorKazankov/Python_training_mantis | 02b85302079388e626a78e8289bfb979af3e7ed4 | [
"Apache-2.0"
] | null | null | null | fixture/application.py | VictorKazankov/Python_training_mantis | 02b85302079388e626a78e8289bfb979af3e7ed4 | [
"Apache-2.0"
] | null | null | null | fixture/application.py | VictorKazankov/Python_training_mantis | 02b85302079388e626a78e8289bfb979af3e7ed4 | [
"Apache-2.0"
] | null | null | null | from selenium.webdriver.firefox.webdriver import WebDriver
from fixture.session import SessionHelper
from fixture.project import ProjectHelper
from fixture.soap import SoapHelper
class Application:
def __init__(self):
self.wd = WebDriver()
self.wd.implicitly_wait(5)
self.session = SessionH... | 25.814815 | 58 | 0.642755 | from selenium.webdriver.firefox.webdriver import WebDriver
from fixture.session import SessionHelper
from fixture.project import ProjectHelper
from fixture.soap import SoapHelper
class Application:
def __init__(self):
self.wd = WebDriver()
self.wd.implicitly_wait(5)
self.session = SessionH... | true | true |
1c33584b6448febf032bed615847b0e83b564b17 | 6,610 | py | Python | mobula/build.py | mgno32/MobulaOP | a58c06216ee6768cf4c46610b802c8b96bf3240d | [
"MIT"
] | null | null | null | mobula/build.py | mgno32/MobulaOP | a58c06216ee6768cf4c46610b802c8b96bf3240d | [
"MIT"
] | null | null | null | mobula/build.py | mgno32/MobulaOP | a58c06216ee6768cf4c46610b802c8b96bf3240d | [
"MIT"
] | null | null | null | """Building Implementation"""
import sys
import multiprocessing
try:
from .build_utils import *
except Exception:
from build_utils import *
NUM_CPU_CORE = multiprocessing.cpu_count()
HOST_NUM_THREADS = config.HOST_NUM_THREADS if config.HOST_NUM_THREADS > 0 else NUM_CPU_CORE
COMMON_FLAGS = Flags().add_definitio... | 33.72449 | 117 | 0.663843 | import sys
import multiprocessing
try:
from .build_utils import *
except Exception:
from build_utils import *
NUM_CPU_CORE = multiprocessing.cpu_count()
HOST_NUM_THREADS = config.HOST_NUM_THREADS if config.HOST_NUM_THREADS > 0 else NUM_CPU_CORE
COMMON_FLAGS = Flags().add_definition('HOST_NUM_THREADS', HOST_NUM... | true | true |
1c33588cd2cfd239421257da498b156f986374d1 | 3,629 | py | Python | DeepLearningExamples/TensorFlow/Segmentation/UNet_Industrial/model/layers/array_ops.py | puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | [
"BSD-3-Clause"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | DeepLearningExamples/TensorFlow/Segmentation/UNet_Industrial/model/layers/array_ops.py | puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | [
"BSD-3-Clause"
] | 3 | 2021-03-31T20:15:40.000Z | 2022-02-09T23:50:46.000Z | built-in/TensorFlow/Official/cv/image_segmentation/UNet_Industrial_for_TensorFlow/model/layers/array_ops.py | Huawei-Ascend/modelzoo | df51ed9c1d6dbde1deef63f2a037a369f8554406 | [
"Apache-2.0"
] | 2 | 2021-07-10T12:40:46.000Z | 2021-12-17T07:55:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
#
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | 29.991736 | 120 | 0.618903 |
import tensorflow as tf
from model.layers.utils import _log_hparams
__all__ = ['concat', 'flatten', 'reshape', 'squeeze', 'upscale_2d']
def concat(values, axis, name='concat'):
net = tf.concat(values=values, axis=axis, name=name)
_log_hparams(classname='Concat', layername=net.name, axis=axis, out_shape=... | true | true |
1c3359893ff7287a55b182731ef1b9f1b460a2db | 3,104 | py | Python | python/examples/scan_external_sources_custom_path_data_rules.py | fvaleye/metadata-guardian | ab5d6cada67785c3cfd98112f68e8fdb193d1617 | [
"Apache-2.0"
] | 9 | 2021-12-31T20:32:35.000Z | 2022-02-18T17:51:49.000Z | python/examples/scan_external_sources_custom_path_data_rules.py | fvaleye/metadata-guardian | ab5d6cada67785c3cfd98112f68e8fdb193d1617 | [
"Apache-2.0"
] | 1 | 2022-02-25T16:35:04.000Z | 2022-02-28T21:08:53.000Z | python/examples/scan_external_sources_custom_path_data_rules.py | fvaleye/metadata-guardian | ab5d6cada67785c3cfd98112f68e8fdb193d1617 | [
"Apache-2.0"
] | null | null | null | import argparse
import os
from metadata_guardian import (
AvailableCategory,
ColumnScanner,
DataRules,
ExternalMetadataSource,
)
from metadata_guardian.source import (
AthenaSource,
BigQuerySource,
DeltaTableSource,
GlueSource,
KafkaSchemaRegistrySource,
MySQLSource,
Snowfla... | 29.009346 | 94 | 0.664948 | import argparse
import os
from metadata_guardian import (
AvailableCategory,
ColumnScanner,
DataRules,
ExternalMetadataSource,
)
from metadata_guardian.source import (
AthenaSource,
BigQuerySource,
DeltaTableSource,
GlueSource,
KafkaSchemaRegistrySource,
MySQLSource,
Snowfla... | true | true |
1c335a4a3f949a93d650c47d0aff470cf8e0234b | 5,901 | py | Python | app/galleries.py | atm08e/amiller.im-py3 | ddbc80d233d9bd2c645eb7cb2af73e951515fca4 | [
"MIT"
] | null | null | null | app/galleries.py | atm08e/amiller.im-py3 | ddbc80d233d9bd2c645eb7cb2af73e951515fca4 | [
"MIT"
] | null | null | null | app/galleries.py | atm08e/amiller.im-py3 | ddbc80d233d9bd2c645eb7cb2af73e951515fca4 | [
"MIT"
] | null | null | null | import json
# TODO async json
import logging
import os
import sys
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
logger = logging.getLogger(__name__)
def gallery_json_loader(path):
logger.debug('Trying to open file: {}'.format(path))
with open(path, 'r+', encoding='utf-8') as f:
# TODO a... | 50.435897 | 120 | 0.401457 | import json
import logging
import os
import sys
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
logger = logging.getLogger(__name__)
def gallery_json_loader(path):
logger.debug('Trying to open file: {}'.format(path))
with open(path, 'r+', encoding='utf-8') as f:
loaded_json = json... | true | true |
1c335a5cb2b2657745ae992aecdd688526eb9297 | 2,611 | py | Python | planning/domains/hiking/Generatorhikingproblem.py | xlbandy/fape | 8a00f9d4c20f722930c11d88b60e0e82f523a439 | [
"BSD-2-Clause"
] | 14 | 2017-01-09T23:25:12.000Z | 2022-02-16T12:08:48.000Z | planning/domains/hiking/Generatorhikingproblem.py | xlbandy/fape | 8a00f9d4c20f722930c11d88b60e0e82f523a439 | [
"BSD-2-Clause"
] | 7 | 2018-05-18T08:27:03.000Z | 2022-03-23T06:39:42.000Z | planning/domains/hiking/Generatorhikingproblem.py | xlbandy/fape | 8a00f9d4c20f722930c11d88b60e0e82f523a439 | [
"BSD-2-Clause"
] | 8 | 2016-12-09T13:31:43.000Z | 2022-02-16T12:08:50.000Z | from __future__ import division
import itertools
import json
import math
import os
import random
import shutil
import subprocess
import sys
loc = 3
hiker =2
car = 2
def main():
global loc
global hiker
global car
if len(sys.argv) > 1:
loc = int(sys.argv[1])
if len(sys.argv) > 2:
hiker = int(sys.argv[2])
if ... | 25.105769 | 121 | 0.516277 | from __future__ import division
import itertools
import json
import math
import os
import random
import shutil
import subprocess
import sys
loc = 3
hiker =2
car = 2
def main():
global loc
global hiker
global car
if len(sys.argv) > 1:
loc = int(sys.argv[1])
if len(sys.argv) > 2:
hiker = int(sys.argv[2])
if ... | true | true |
1c335b506bbcd73c2a19432394cb2b936afb8669 | 17,202 | py | Python | python/analysis/habernal_comparison/analyse_features.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 13 | 2019-03-01T19:40:23.000Z | 2022-01-10T05:53:47.000Z | python/analysis/habernal_comparison/analyse_features.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 12 | 2020-11-13T17:54:01.000Z | 2022-02-09T23:39:11.000Z | python/analysis/habernal_comparison/analyse_features.py | UKPLab/tacl2018-preference-convincing | 65eb1cd3bf76f8068889880e0f80178e790350ce | [
"Apache-2.0"
] | 5 | 2019-02-06T12:08:20.000Z | 2022-01-10T20:40:22.000Z | '''
Created on 1 Jun 2017
Load a set of feature lengthscales from a good run with 'both' types of features.
Sort them by lengthscale.
Plot the distribution.
Identify which type of feature they are: add colours or markers to the plot.
Provide a zoomed-in variant for the best 25 features.
@author: simpson
'''
impor... | 41.651332 | 154 | 0.578421 |
import os, pickle
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from tests import load_embeddings, get_fold_data, TestRunner
from data_loader import load_train_test_data, load_ling_features
from matplotlib.ticker import MaxNLocator
if __name__ == '__main__':
expt_folder_name = 'crowdso... | true | true |
1c335c7a96e78dad784537a49f59c108c83557f7 | 1,642 | py | Python | placethings/ilp/method.py | kumokay/placethings | c1fa9aace89be5766e7aa24e4df8bc5d5ca8fa66 | [
"Apache-2.0"
] | 2 | 2019-09-28T09:36:29.000Z | 2019-11-14T20:48:24.000Z | placethings/ilp/method.py | kumokay/placethings | c1fa9aace89be5766e7aa24e4df8bc5d5ca8fa66 | [
"Apache-2.0"
] | 1 | 2019-07-24T20:54:46.000Z | 2019-08-09T20:07:43.000Z | placethings/ilp/method.py | kumokay/placethings | c1fa9aace89be5766e7aa24e4df8bc5d5ca8fa66 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from copy import deepcopy
import logging
import pulp
# NOTE: to use glpk solver, sudo apt-get install glpk-utils
from placethings.graph_gen import task_graph
from place... | 34.93617 | 79 | 0.744823 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from copy import deepcopy
import logging
import pulp
from placethings.graph_gen import task_graph
from placethings.ilp import utils, solver
log = logging.getLogger()
... | true | true |
1c335e4f3a102a7a5ae4cc8c6bb0efa75cb6e72d | 2,468 | py | Python | 5. Probability and Statistics/statistics-intermediate/The Mode-307.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | 5. Probability and Statistics/statistics-intermediate/The Mode-307.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | 5. Probability and Statistics/statistics-intermediate/The Mode-307.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | ## 1. Introduction ##
import pandas as pd
houses = pd.read_table('AmesHousing_1.txt')
print(houses[['Land Slope','Roof Style','Kitchen AbvGr']])
scale_land = 'ordinal'
scale_roof = 'nominal'
kitchen_variable = 'discrete'
## 2. The Mode for Ordinal Variables ##
def mode(array):
counts = {}
for valu... | 23.961165 | 75 | 0.623987 |
import pandas as pd
houses = pd.read_table('AmesHousing_1.txt')
print(houses[['Land Slope','Roof Style','Kitchen AbvGr']])
scale_land = 'ordinal'
scale_roof = 'nominal'
kitchen_variable = 'discrete'
def mode(array):
counts = {}
for value in array:
if value in counts:
counts[val... | true | true |
1c33613869982dc2d894924cc6286d86815c454a | 1,417 | py | Python | tests/lit/lit/formats/alivetest.py | rutgers-apl/alive-loops | 2ce0d2f02f4c1554451f9741520ffe7e92b4b50e | [
"Apache-2.0"
] | 4 | 2016-04-07T17:30:00.000Z | 2018-12-02T00:06:28.000Z | tests/lit/lit/formats/alivetest.py | rutgers-apl/alive-loops | 2ce0d2f02f4c1554451f9741520ffe7e92b4b50e | [
"Apache-2.0"
] | null | null | null | tests/lit/lit/formats/alivetest.py | rutgers-apl/alive-loops | 2ce0d2f02f4c1554451f9741520ffe7e92b4b50e | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
import re, string, subprocess, signal
import lit.Test
from .base import FileBasedTest
def executeCommand(command, input):
p = subprocess.Popen(command,
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=s... | 24.431034 | 78 | 0.625265 | from __future__ import absolute_import
import re, string, subprocess, signal
import lit.Test
from .base import FileBasedTest
def executeCommand(command, input):
p = subprocess.Popen(command,
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=s... | true | true |
1c33622dace13df17153cec3a22ea9743fed0d6e | 1,447 | py | Python | tests/test_fast/test_deadlock.py | ponty/EasyProcess | 4b3f5ab487ec46133e361958d6061262bfad91c3 | [
"BSD-2-Clause"
] | 86 | 2015-02-17T11:41:18.000Z | 2022-03-05T08:05:29.000Z | tests/test_fast/test_deadlock.py | ponty/EasyProcess | 4b3f5ab487ec46133e361958d6061262bfad91c3 | [
"BSD-2-Clause"
] | 18 | 2015-02-11T21:03:13.000Z | 2022-03-20T14:32:51.000Z | tests/test_fast/test_deadlock.py | ponty/EasyProcess | 4b3f5ab487ec46133e361958d6061262bfad91c3 | [
"BSD-2-Clause"
] | 22 | 2015-02-11T20:47:00.000Z | 2021-11-01T15:26:23.000Z | import os
import sys
import threading
from time import sleep
import pytest
from pyvirtualdisplay.display import Display
from easyprocess import EasyProcess
python = sys.executable
# requirement: apt install imagemagick
# deadlock
# popen.communicate() hangs
# no deadlock with temp_files
PROG = """
from PIL import... | 22.609375 | 75 | 0.621977 | import os
import sys
import threading
from time import sleep
import pytest
from pyvirtualdisplay.display import Display
from easyprocess import EasyProcess
python = sys.executable
PROG = """
from PIL import Image
Image.new("RGB",(99, 99)).show()
"""
EASYPROCESS_USE_TEMP_FILES = os.environ.get("EASYPROCESS_USE_TEM... | true | true |
1c3363e3946059d0e9af3446782a8ac9ca9eb2ca | 1,105 | py | Python | Ar_Script/past/密码安全等级检查.py | archerckk/PyTest | 610dd89df8d70c096f4670ca11ed2f0ca3196ca5 | [
"MIT"
] | null | null | null | Ar_Script/past/密码安全等级检查.py | archerckk/PyTest | 610dd89df8d70c096f4670ca11ed2f0ca3196ca5 | [
"MIT"
] | 1 | 2020-01-19T01:19:57.000Z | 2020-01-19T01:19:57.000Z | Ar_Script/past/密码安全等级检查.py | archerckk/PyTest | 610dd89df8d70c096f4670ca11ed2f0ca3196ca5 | [
"MIT"
] | null | null | null |
psw=input('请输入需要检查的密码组合：')
zimu=('a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','A','B','C'
, 'D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z')
shuzi='1234567890'
fuhao='~!@#$%^&*()_+[]{}:;"|\<,>.?//*-+.'
length=len(p... | 22.55102 | 117 | 0.506787 |
psw=input('请输入需要检查的密码组合：')
zimu=('a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','A','B','C'
, 'D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z')
shuzi='1234567890'
fuhao='~!@#$%^&*()_+[]{}:;"|\<,>.?//*-+.'
length=len(p... | true | true |
1c3364a3c9abb5f56a012e9bb0585f043b4e08cc | 8,171 | py | Python | orc8r/gateway/python/magma/magmad/proxy_client.py | remo5000/magma | 1d1dd9a23800a8e07b1ce016776d93e12430ec15 | [
"BSD-3-Clause"
] | 3 | 2019-08-16T17:03:09.000Z | 2019-08-23T21:57:48.000Z | orc8r/gateway/python/magma/magmad/proxy_client.py | remo5000/magma | 1d1dd9a23800a8e07b1ce016776d93e12430ec15 | [
"BSD-3-Clause"
] | 14 | 2019-11-15T12:01:18.000Z | 2019-12-12T14:37:42.000Z | orc8r/gateway/python/magma/magmad/proxy_client.py | 119Vik/magma-1 | 107a7b374466a837fc0a49b283ba9d6ff1d702e3 | [
"BSD-3-Clause"
] | 3 | 2019-11-15T15:56:25.000Z | 2019-11-21T10:34:59.000Z | """
Copyright (c) 2016-present, Facebook, Inc.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree. An additional grant
of patent rights can be found in the PATENTS file in the same directory.
"""
import asyncio
import loggin... | 41.267677 | 79 | 0.582793 | import asyncio
import logging
import aioh2
import h2.events
from orc8r.protos.sync_rpc_service_pb2 import GatewayResponse, SyncRPCResponse
from magma.common.service_registry import ServiceRegistry
class ControlProxyHttpClient(object):
def __init__(self):
self._connection_table = {}
async def sen... | true | true |
1c3365e3b522bc4f34c72ef66f784cc0cc49dbf1 | 10,574 | py | Python | tools/harness-automation/autothreadharness/open_thread_controller.py | ctan-g/openthread | 376f35a49e5c0a5b8170c117d7a930e3a8b3b210 | [
"BSD-3-Clause"
] | 1 | 2020-08-12T06:15:53.000Z | 2020-08-12T06:15:53.000Z | tools/harness-automation/autothreadharness/open_thread_controller.py | ctan-g/openthread | 376f35a49e5c0a5b8170c117d7a930e3a8b3b210 | [
"BSD-3-Clause"
] | null | null | null | tools/harness-automation/autothreadharness/open_thread_controller.py | ctan-g/openthread | 376f35a49e5c0a5b8170c117d7a930e3a8b3b210 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2016, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# notic... | 27.322997 | 92 | 0.56847 |
import logging
import re
import socket
import threading
import time
import serial
from . import settings
__all__ = ['OpenThreadController']
logger = logging.getLogger(__name__)
linesepx = re.compile(r'\r\n|\n')
class OpenThreadController(threading.Thread):
_lock = threading.Lock()
viewing = False
d... | true | true |
1c336671addc0cbf4baad8279578295bfaff1469 | 396 | py | Python | examples/16_helix_origami_rectangle_no_seq_no_twist.py | scadnano-test-user/scadnano-python-package-1 | 9becb5a076579f6cbac1ebfeda514540bb84ab87 | [
"MIT"
] | null | null | null | examples/16_helix_origami_rectangle_no_seq_no_twist.py | scadnano-test-user/scadnano-python-package-1 | 9becb5a076579f6cbac1ebfeda514540bb84ab87 | [
"MIT"
] | null | null | null | examples/16_helix_origami_rectangle_no_seq_no_twist.py | scadnano-test-user/scadnano-python-package-1 | 9becb5a076579f6cbac1ebfeda514540bb84ab87 | [
"MIT"
] | null | null | null | import origami_rectangle as rect
import scadnano as sc
def main():
design = rect.create(num_helices=16, num_cols=26, assign_seq=False, twist_correction_deletion_spacing=3,
twist_correction_start_col=2)
return design
if not sc.in_browser() and __name__ == '__main__':
d... | 28.285714 | 109 | 0.694444 | import origami_rectangle as rect
import scadnano as sc
def main():
design = rect.create(num_helices=16, num_cols=26, assign_seq=False, twist_correction_deletion_spacing=3,
twist_correction_start_col=2)
return design
if not sc.in_browser() and __name__ == '__main__':
d... | true | true |
1c33698445117e404bad1744f55343c669082b4b | 5,825 | py | Python | solid_i18n/middleware.py | affan2/django-solid-i18n-urls | 3b858a84499261a3f86253e472f83cd79e90bab6 | [
"BSD-3-Clause"
] | null | null | null | solid_i18n/middleware.py | affan2/django-solid-i18n-urls | 3b858a84499261a3f86253e472f83cd79e90bab6 | [
"BSD-3-Clause"
] | null | null | null | solid_i18n/middleware.py | affan2/django-solid-i18n-urls | 3b858a84499261a3f86253e472f83cd79e90bab6 | [
"BSD-3-Clause"
] | 1 | 2020-01-09T10:22:39.000Z | 2020-01-09T10:22:39.000Z | from django import VERSION as DJANGO_VERSION
from django.conf import settings
from django.core.urlresolvers import (is_valid_path, get_resolver,
get_script_prefix)
from django.http import HttpResponseRedirect, HttpResponsePermanentRedirect
from django.utils.cache import patch_vary_headers
from django.utils import t... | 43.796992 | 135 | 0.664721 | from django import VERSION as DJANGO_VERSION
from django.conf import settings
from django.core.urlresolvers import (is_valid_path, get_resolver,
get_script_prefix)
from django.http import HttpResponseRedirect, HttpResponsePermanentRedirect
from django.utils.cache import patch_vary_headers
from django.utils import t... | true | true |
1c3369cc581ad8d634b869346c35da6cd76f897b | 2,850 | py | Python | process.py | anirudhbelwadi/music-application-using-machine-learning | ef3514a59dd5d903bbd62ee0664d458098099d08 | [
"MIT"
] | 4 | 2021-07-01T12:38:53.000Z | 2021-11-13T09:21:14.000Z | process.py | anirudhbelwadi/music-application-using-machine-learning | ef3514a59dd5d903bbd62ee0664d458098099d08 | [
"MIT"
] | null | null | null | process.py | anirudhbelwadi/music-application-using-machine-learning | ef3514a59dd5d903bbd62ee0664d458098099d08 | [
"MIT"
] | null | null | null | import json
import os
import math
import librosa
DATASET_PATH = "./test"
JSON_PATH = "top.json"
SAMPLE_RATE = 22050
TRACK_DURATION = 30 # measured in seconds
SAMPLES_PER_TRACK = SAMPLE_RATE * TRACK_DURATION
def save_mfcc(dataset_path, json_path, num_mfcc=13, n_fft=2048, hop_length=512, num_segments=5):
"""Extra... | 38.513514 | 112 | 0.600702 | import json
import os
import math
import librosa
DATASET_PATH = "./test"
JSON_PATH = "top.json"
SAMPLE_RATE = 22050
TRACK_DURATION = 30 SAMPLES_PER_TRACK = SAMPLE_RATE * TRACK_DURATION
def save_mfcc(dataset_path, json_path, num_mfcc=13, n_fft=2048, hop_length=512, num_segments=5):
data = {
"mapping... | true | true |
1c336b9139628ad9f04b4d05454eb9f431d71374 | 2,735 | py | Python | mfdnres/descriptor_formats/mfdn_format_8.py | nd-nuclear-theory/slurp | 6b6c8faeda829b2e9b9751ae48ff7dbf69f2a7c6 | [
"MIT"
] | 1 | 2020-12-10T02:29:06.000Z | 2020-12-10T02:29:06.000Z | mfdnres/descriptor_formats/mfdn_format_8.py | nd-nuclear-theory/slurp | 6b6c8faeda829b2e9b9751ae48ff7dbf69f2a7c6 | [
"MIT"
] | null | null | null | mfdnres/descriptor_formats/mfdn_format_8.py | nd-nuclear-theory/slurp | 6b6c8faeda829b2e9b9751ae48ff7dbf69f2a7c6 | [
"MIT"
] | 1 | 2021-06-23T14:51:29.000Z | 2021-06-23T14:51:29.000Z | """ mfdn_format_8.py -- declares descriptor parser
Language: Python 3
Patrick J. Fasano
University of Notre Dame
03/18/18 (pjf): Initiated (based on mfdn_format_7_ho.py).
09/06/18 (pjf): Allow hyphens in interaction name.
"""
import re
# intra-package references
from .. import descriptor
_pari... | 27.35 | 144 | 0.558318 |
import re
from .. import descriptor
_parity_map = {"g0": +1, "g1": -1, "gx": 0}
def _truncation_parser(substr):
regex = re.compile(
r""
)
def parser(filename):
regex = re.compile(
r"run(?P<run>\w+)"
r"\-(?P<code_name>[^\-]+)"
r"\-(?P<descriptor>"
... | true | true |
1c336c1207f698399536830e67b1a84561fc0177 | 10,452 | py | Python | scripts/OQMD2PyChemia.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 67 | 2015-01-31T07:44:55.000Z | 2022-03-21T21:43:34.000Z | scripts/OQMD2PyChemia.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 13 | 2016-06-03T19:07:51.000Z | 2022-03-31T04:20:40.000Z | scripts/OQMD2PyChemia.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 37 | 2015-01-22T15:37:23.000Z | 2022-03-21T15:38:10.000Z | #!/usr/bin/env python
import os
import sys
import time
import logging
import itertools
import argparse
from multiprocessing import Pool, cpu_count, Process
import pychemia
from pychemia.utils.periodic import atomic_symbol
try:
from qmpy import Entry
except ImportError:
Entry = None
print("Could not import... | 35.55102 | 120 | 0.598833 |
import os
import sys
import time
import logging
import itertools
import argparse
from multiprocessing import Pool, cpu_count, Process
import pychemia
from pychemia.utils.periodic import atomic_symbol
try:
from qmpy import Entry
except ImportError:
Entry = None
print("Could not import 'qmpy' as needed to i... | true | true |
1c336c1dabe0cc6cdb07b243776fe77d86a4311f | 874 | py | Python | lib/cocoapi_windows/PythonAPI/setup.py | Shank2358/NPMMR-Det | 414d148ff2ba5edbe870a8dafb6336845fb9ffbb | [
"Apache-2.0"
] | 27 | 2021-01-09T07:35:45.000Z | 2022-02-06T03:18:54.000Z | lib/cocoapi_windows/PythonAPI/setup.py | Shank2358/NPMMR-Det | 414d148ff2ba5edbe870a8dafb6336845fb9ffbb | [
"Apache-2.0"
] | 4 | 2021-07-20T07:16:03.000Z | 2022-03-29T14:22:59.000Z | lib/cocoapi_windows/PythonAPI/setup.py | Shank2358/NPMMR-Det | 414d148ff2ba5edbe870a8dafb6336845fb9ffbb | [
"Apache-2.0"
] | 1 | 2021-12-26T09:12:08.000Z | 2021-12-26T09:12:08.000Z | from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np
# To install and compile to your anaconda/python site-packages, simply run:
# $ pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
# Note that the original co... | 32.37037 | 106 | 0.688787 | from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np
ext_modules = [
Extension(
'pycocotools._mask',
sources=['../common/maskApi.c', 'pycocotools/_mask.pyx'],
include_dirs = [np.get_include(), '../common'],
... | true | true |
1c336dd763456ee791f4e197b59b28af345ec219 | 4,052 | py | Python | alipay/aop/api/request/AlipayMarketingCampaignDiscountBudgetQueryRequest.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/request/AlipayMarketingCampaignDiscountBudgetQueryRequest.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/request/AlipayMarketingCampaignDiscountBudgetQueryRequest.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayMarketingCampaignDiscountBudgetQueryModel import AlipayMarketingCampaignDiscountBudgetQueryModel
class AlipayMarketingCampaign... | 27.944828 | 148 | 0.65153 | import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayMarketingCampaignDiscountBudgetQueryModel import AlipayMarketingCampaignDiscountBudgetQueryModel
class AlipayMarketingCampaignDiscountBudgetQueryRequest(object):
def _... | true | true |
1c336e553ba984f8fa1f69078ffb7e7486ff9172 | 9,600 | py | Python | python/codegen/generate_vhdl.py | MaartenBaert/xormix | 2b649bd9c2defd00dbffefb59db4de0b40785714 | [
"BSL-1.0",
"Apache-2.0",
"MIT"
] | 17 | 2022-02-21T02:23:30.000Z | 2022-03-03T03:38:54.000Z | python/codegen/generate_vhdl.py | MaartenBaert/xormix | 2b649bd9c2defd00dbffefb59db4de0b40785714 | [
"BSL-1.0",
"Apache-2.0",
"MIT"
] | null | null | null | python/codegen/generate_vhdl.py | MaartenBaert/xormix | 2b649bd9c2defd00dbffefb59db4de0b40785714 | [
"BSL-1.0",
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright (c) 2020-2021 Maarten Baert <info@maartenbaert.be>
# Available under the MIT License - see LICENSE.txt for details.
import math
import random
import xormix16
import xormix24
import xormix32
import xormix48
import xormix64
import xormix96
import xormix128
random.seed(0x75cf32031077f039)
modules = {
16: ... | 41.921397 | 263 | 0.53125 |
import math
import random
import xormix16
import xormix24
import xormix32
import xormix48
import xormix64
import xormix96
import xormix128
random.seed(0x75cf32031077f039)
modules = {
16: xormix16,
24: xormix24,
32: xormix32,
48: xormix48,
64: xormix64,
96: xormix96,
128: xormix128,
}
def generate_rtl(n, fil... | true | true |
1c337243f51bf5c05b4d429314fb8f3d6588f946 | 3,421 | py | Python | django/djangoproject/settings.py | RajapandiR/django-reactjs | 15371ee816ef4dfecd4cc0f4243fc358796c375b | [
"MIT"
] | null | null | null | django/djangoproject/settings.py | RajapandiR/django-reactjs | 15371ee816ef4dfecd4cc0f4243fc358796c375b | [
"MIT"
] | null | null | null | django/djangoproject/settings.py | RajapandiR/django-reactjs | 15371ee816ef4dfecd4cc0f4243fc358796c375b | [
"MIT"
] | null | null | null | """
Django settings for djangoproject project.
Generated by 'django-admin startproject' using Django 3.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from p... | 25.154412 | 91 | 0.688103 |
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = 'yjb#&^z%!1rvv57rgz!gmrrf!#vsc_9068t5k_*yosh^r!ij6^'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
... | true | true |
1c3372470083842622d5ff11c75962a863ecf220 | 650 | py | Python | msgboard/migrations/0001_initial.py | Yoavsc129/beyond-tutorial | 733d2d26df980f2ccb3fa7d1595112bee089d8be | [
"MIT"
] | null | null | null | msgboard/migrations/0001_initial.py | Yoavsc129/beyond-tutorial | 733d2d26df980f2ccb3fa7d1595112bee089d8be | [
"MIT"
] | null | null | null | msgboard/migrations/0001_initial.py | Yoavsc129/beyond-tutorial | 733d2d26df980f2ccb3fa7d1595112bee089d8be | [
"MIT"
] | null | null | null | # Generated by Django 4.0.2 on 2022-02-08 09:07
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Message',
fields=[
... | 26 | 117 | 0.586154 |
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Message',
fields=[
('id', models.BigAutoField(auto_created=Tru... | true | true |
1c33726a2db273b76310d3a6da8874396a32f59d | 4,270 | py | Python | alipay/aop/api/domain/DishonestyDetailInfo.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/DishonestyDetailInfo.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/DishonestyDetailInfo.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class DishonestyDetailInfo(object):
def __init__(self):
self._behavior = None
self._case_code = None
self._enforce_court = None
self._id_number = None
self._name... | 29.246575 | 77 | 0.574239 | import json
from alipay.aop.api.constant.ParamConstants import *
class DishonestyDetailInfo(object):
def __init__(self):
self._behavior = None
self._case_code = None
self._enforce_court = None
self._id_number = None
self._name = None
self._performance = None
... | true | true |
1c337336b004d37a33e535c259ebd287915bae27 | 4,939 | py | Python | Kaggle/Playgroud/RiskPrediction/Home-Credit-Default-Risk-master/py/trash/_402_cre_decimal.py | hehuanlin123/DeepLearning | 6b7feabbbde9ac9489f76da4c06eeb6703fb165a | [
"MIT"
] | 1 | 2020-02-28T12:03:39.000Z | 2020-02-28T12:03:39.000Z | Kaggle/Playgroud/RiskPrediction/Home-Credit-Default-Risk-master/py/trash/_402_cre_decimal.py | hehuanlin123/DeepLearning | 6b7feabbbde9ac9489f76da4c06eeb6703fb165a | [
"MIT"
] | null | null | null | Kaggle/Playgroud/RiskPrediction/Home-Credit-Default-Risk-master/py/trash/_402_cre_decimal.py | hehuanlin123/DeepLearning | 6b7feabbbde9ac9489f76da4c06eeb6703fb165a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 3 14:35:15 2018
@author: Kazuki
"""
import os
import pandas as pd
import gc
from multiprocessing import Pool
import multiprocessing
from glob import glob
import utils
utils.start(__file__)
#========================================================... | 36.858209 | 134 | 0.554161 |
import os
import pandas as pd
import gc
from multiprocessing import Pool
import multiprocessing
from glob import glob
import utils
utils.start(__file__)
KEY = 'SK_ID_CURR'
PREF = 'cre'
NTHREAD = multiprocessing.cpu_count()
cre = utils.read_pickles('../data/credit_card_balance')
cre.sort_values(['SK_ID_CURR', 'MONT... | true | true |
1c3373c42e34c54544e374c1eb57af33cec00da7 | 2,569 | py | Python | python/word-count/word_count_test.py | stevenandrewcarter/exercism | db02c2f16d9cff878120208beccb3d09305a9df0 | [
"MIT"
] | 1 | 2021-02-12T18:54:17.000Z | 2021-02-12T18:54:17.000Z | python/word-count/word_count_test.py | stevenandrewcarter/exercism | db02c2f16d9cff878120208beccb3d09305a9df0 | [
"MIT"
] | null | null | null | python/word-count/word_count_test.py | stevenandrewcarter/exercism | db02c2f16d9cff878120208beccb3d09305a9df0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from wordcount import word_count
# to be backwards compatible with the old Python 2.X
def decode_if_needed(string):
try:
return string.decode('utf-8')
except AttributeError:
return string
class WordCountTests(unittest.TestCase):
def test_count_on... | 28.865169 | 78 | 0.513429 | import unittest
from wordcount import word_count
def decode_if_needed(string):
try:
return string.decode('utf-8')
except AttributeError:
return string
class WordCountTests(unittest.TestCase):
def test_count_one_word(self):
self.assertEqual(
{'word': 1},
... | true | true |
1c3375a1a8258dedbd7bb99777fb79d19fde143e | 672 | py | Python | testing_individual_section.py | OpenHRS/openhrs-scraper-app | be8b2dcf6b4612642700314fd7259cd0f5613742 | [
"MIT"
] | 3 | 2017-11-13T10:35:12.000Z | 2017-11-19T09:29:02.000Z | testing_individual_section.py | OpenHRS/openhrs-scraper-app | be8b2dcf6b4612642700314fd7259cd0f5613742 | [
"MIT"
] | 12 | 2017-10-01T12:35:58.000Z | 2018-08-19T07:47:00.000Z | testing_individual_section.py | OpenHRS/openhrs-scraper-app | be8b2dcf6b4612642700314fd7259cd0f5613742 | [
"MIT"
] | 1 | 2020-01-09T04:27:46.000Z | 2020-01-09T04:27:46.000Z | import json
import requests
import re
from bs4 import BeautifulSoup as bs
from create_hrs_tree import get_section_text_data
def main():
Section = {"name": 'Risk of loss',
"number": '2A-219'}
baseURL = 'http://www.capitol.hawaii.gov/hrscurrent/Vol11_Ch0476-0490/HRS0490/HRS_0490-.htm'
sectio... | 26.88 | 96 | 0.686012 | import json
import requests
import re
from bs4 import BeautifulSoup as bs
from create_hrs_tree import get_section_text_data
def main():
Section = {"name": 'Risk of loss',
"number": '2A-219'}
baseURL = 'http://www.capitol.hawaii.gov/hrscurrent/Vol11_Ch0476-0490/HRS0490/HRS_0490-.htm'
sectio... | true | true |
1c3375b4eab451b16c40c709077979721739d1e9 | 2,994 | py | Python | experiments/murtaza/ros/sawyer_sim/sawyer_pos_sac.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/murtaza/ros/sawyer_sim/sawyer_pos_sac.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/murtaza/ros/sawyer_sim/sawyer_pos_sac.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | from rlkit.launchers.launcher_util import run_experiment
from rlkit.torch.networks import ConcatMlp
import rlkit.torch.pytorch_util as ptu
from rlkit.torch.sac.policies import TanhGaussianPolicy
from rlkit.torch.sac.sac import SoftActorCritic
from sawyer_control.sawyer_reaching import SawyerXYZReachingEnv
import numpy ... | 26.732143 | 63 | 0.573146 | from rlkit.launchers.launcher_util import run_experiment
from rlkit.torch.networks import ConcatMlp
import rlkit.torch.pytorch_util as ptu
from rlkit.torch.sac.policies import TanhGaussianPolicy
from rlkit.torch.sac.sac import SoftActorCritic
from sawyer_control.sawyer_reaching import SawyerXYZReachingEnv
import numpy ... | true | true |
1c337605d45899ca95adf8c7fcedb4e9ce240822 | 4,528 | py | Python | api/src/opentrons/hardware_control/emulation/thermocycler.py | mrakitin/opentrons | d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9 | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/hardware_control/emulation/thermocycler.py | mrakitin/opentrons | d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9 | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/hardware_control/emulation/thermocycler.py | mrakitin/opentrons | d9c7ed23d13cdb62bd1bc397dc2871d4bd5b77e9 | [
"Apache-2.0"
] | null | null | null | """An emulation of the opentrons thermocycler module.
The purpose is to provide a fake backend that responds to GCODE commands.
"""
import logging
from typing import Optional
from opentrons.drivers.thermocycler.driver import GCODE
from opentrons.drivers.types import ThermocyclerLidStatus
from opentrons.hardware_contr... | 39.373913 | 79 | 0.634496 |
import logging
from typing import Optional
from opentrons.drivers.thermocycler.driver import GCODE
from opentrons.drivers.types import ThermocyclerLidStatus
from opentrons.hardware_control.emulation.parser import Parser, Command
from .abstract_emulator import AbstractEmulator
from .simulations import Temperature, Tem... | true | true |
1c33763f08e3455be5c1b27f67dfa283532c92fc | 81 | py | Python | app-engine-by-example/local_constants.py | draescherl/griffith-cloud-plaforms-applications | 97f86f0a6cb40e3c66572023d7d7de7b49497b49 | [
"MIT"
] | null | null | null | app-engine-by-example/local_constants.py | draescherl/griffith-cloud-plaforms-applications | 97f86f0a6cb40e3c66572023d7d7de7b49497b49 | [
"MIT"
] | null | null | null | app-engine-by-example/local_constants.py | draescherl/griffith-cloud-plaforms-applications | 97f86f0a6cb40e3c66572023d7d7de7b49497b49 | [
"MIT"
] | null | null | null | PROJECT_NAME='gae-by-example'
PROJECT_STORAGE_BUCKET='gae-by-example.appspot.com' | 40.5 | 51 | 0.839506 | PROJECT_NAME='gae-by-example'
PROJECT_STORAGE_BUCKET='gae-by-example.appspot.com' | true | true |
1c33772aba5b57d2f7e626c7d7dec345fd5596bd | 156 | py | Python | configs/prod.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | configs/prod.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | configs/prod.py | Stupnitskiy/BinaryAPI | e448936ceed96da72e2aa65847030ea56edb224f | [
"MIT"
] | null | null | null | DEBUG = False
TESTING = False
DROPBOX_ACCESS_TOKEN = 'mTUuFHFyeNAAAAAAAAAAISJUHjSYan7RFlrRfJEdnzT1aUSKv59aLJFJMnzbS0uT'
DROPBO_PROJECT_PATH = '/binaryAPI'
| 26 | 89 | 0.858974 | DEBUG = False
TESTING = False
DROPBOX_ACCESS_TOKEN = 'mTUuFHFyeNAAAAAAAAAAISJUHjSYan7RFlrRfJEdnzT1aUSKv59aLJFJMnzbS0uT'
DROPBO_PROJECT_PATH = '/binaryAPI'
| true | true |
1c33775ff90dde5df7953bff084cd11b14119b45 | 8,034 | py | Python | python/kfserving/kfserving/models/v1alpha2_inference_service.py | titoeb/kfserving | b072a76842b57e904dbdf46a136474a22051500d | [
"Apache-2.0"
] | 6 | 2022-02-15T21:54:19.000Z | 2022-02-16T21:18:54.000Z | python/kfserving/kfserving/models/v1alpha2_inference_service.py | titoeb/kfserving | b072a76842b57e904dbdf46a136474a22051500d | [
"Apache-2.0"
] | 635 | 2021-01-29T07:06:06.000Z | 2022-03-31T09:09:20.000Z | python/kfserving/kfserving/models/v1alpha2_inference_service.py | titoeb/kfserving | b072a76842b57e904dbdf46a136474a22051500d | [
"Apache-2.0"
] | 4 | 2021-02-15T23:02:53.000Z | 2022-01-27T22:54:16.000Z | # Copyright 2020 kubeflow.org.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 33.061728 | 312 | 0.638163 |
import pprint
import re
import six
from kfserving.configuration import Configuration
class V1alpha2InferenceService(object):
openapi_types = {
'api_version': 'str',
'kind': 'str',
'metadata': 'V1ObjectMeta',
'spec': 'V1alpha2InferenceServiceSpec',
'status': 'V1alpha... | true | true |
1c337772a3c0152c7169b07e964047635ab78aae | 3,444 | py | Python | Intro_to_Recommendation_Systems/DeepRecommender/data_utils/movielens_data_convert.py | NunoEdgarGFlowHub/sciblog_support | 5ef38b935ad45edd1cf01b92b5184282b4ee25fa | [
"BSD-3-Clause"
] | 668 | 2016-11-27T13:12:40.000Z | 2022-02-18T09:12:19.000Z | Intro_to_Recommendation_Systems/DeepRecommender/data_utils/movielens_data_convert.py | mohamedndiaye/sciblog_support | 0d5b956bacbd40d1a1fc07582aba728abfb59f54 | [
"BSD-3-Clause"
] | 99 | 2016-11-01T08:18:44.000Z | 2021-02-25T06:16:39.000Z | Intro_to_Recommendation_Systems/DeepRecommender/data_utils/movielens_data_convert.py | mohamedndiaye/sciblog_support | 0d5b956bacbd40d1a1fc07582aba728abfb59f54 | [
"BSD-3-Clause"
] | 185 | 2016-11-29T11:11:33.000Z | 2022-03-31T09:14:41.000Z | # Copyright (c) 2017 NVIDIA Corporation
import sys
import datetime
import random
from math import floor
def print_stats(data):
total_ratings = 0
print("STATS")
for user in data:
total_ratings += len(data[user])
print("Total Ratings: {}".format(total_ratings))
print("Total User count: {}".format(len(data.... | 33.115385 | 115 | 0.671312 | import sys
import datetime
import random
from math import floor
def print_stats(data):
total_ratings = 0
print("STATS")
for user in data:
total_ratings += len(data[user])
print("Total Ratings: {}".format(total_ratings))
print("Total User count: {}".format(len(data.keys())))
def save_data_to_file(data, f... | true | true |
1c33778216c6074870c586d573ca2ba9195b1476 | 1,047 | py | Python | editor/attributes/player/player_attribute_fk_style.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | 1 | 2022-03-11T12:25:57.000Z | 2022-03-11T12:25:57.000Z | editor/attributes/player/player_attribute_fk_style.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | null | null | null | editor/attributes/player/player_attribute_fk_style.py | PeterC10/COFPES-OF-Editor-6 | 0a9c9b75fada8264634bdc968c9da209c44b29e2 | [
"MIT"
] | null | null | null | from editor.attributes.player.player_attribute import (
PlayerAttribute,
PlayerAttributeTypes,
)
class PlayerAttributeFkStyle(PlayerAttribute):
@classmethod
def att_class_name(cls):
return "FK Style"
@classmethod
def att_class_type(cls):
return PlayerAttributeTypes.BasicSettin... | 26.846154 | 67 | 0.683859 | from editor.attributes.player.player_attribute import (
PlayerAttribute,
PlayerAttributeTypes,
)
class PlayerAttributeFkStyle(PlayerAttribute):
@classmethod
def att_class_name(cls):
return "FK Style"
@classmethod
def att_class_type(cls):
return PlayerAttributeTypes.BasicSettin... | true | true |
1c33781d337fcd41bdfddab8f6383b37366a2364 | 346 | py | Python | users/models.py | artkapl/django-blog-project | 16494465042dd6846f3a2cd560c0cfe7737cc8e0 | [
"MIT"
] | null | null | null | users/models.py | artkapl/django-blog-project | 16494465042dd6846f3a2cd560c0cfe7737cc8e0 | [
"MIT"
] | null | null | null | users/models.py | artkapl/django-blog-project | 16494465042dd6846f3a2cd560c0cfe7737cc8e0 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
from django.contrib.auth.models import User
class Profile(models.Model):
user = models.OneToOneField(to=User, on_delete=models.CASCADE)
image = models.ImageField(default='default.jpg', upload_to='profile')
def __str__(self):
return f"{self.... | 26.615385 | 73 | 0.734104 | from django.db import models
from django.contrib.auth.models import User
class Profile(models.Model):
user = models.OneToOneField(to=User, on_delete=models.CASCADE)
image = models.ImageField(default='default.jpg', upload_to='profile')
def __str__(self):
return f"{self.user.username}'s Profile"
| true | true |
1c3378e86defbbc7f3668544036cb7b6f2d8b7c3 | 100 | py | Python | keras_textclassification/data/model/__init__.py | luoyudong593/Keras-TextClassification | b3e6966b5dbc7f425522074e2043fbff0614de84 | [
"MIT"
] | 1,339 | 2019-06-13T15:34:46.000Z | 2022-03-31T11:24:09.000Z | keras_textclassification/data/model/__init__.py | zhangshixing-chn/Keras-TextClassification | 640e3f44f90d9d8046546f7e1a93a29ebe5c8d30 | [
"MIT"
] | 75 | 2019-06-25T06:38:27.000Z | 2022-03-25T06:48:19.000Z | keras_textclassification/data/model/__init__.py | zhangshixing-chn/Keras-TextClassification | 640e3f44f90d9d8046546f7e1a93a29ebe5c8d30 | [
"MIT"
] | 400 | 2019-06-17T03:00:48.000Z | 2022-03-23T07:00:53.000Z | # -*- coding: UTF-8 -*-
# !/usr/bin/python
# @time :2019/8/28 2:35
# @author :Mo
# @function : | 20 | 27 | 0.52 | true | true | |
1c33797ae21b5684e8af23125a3d72721bee019a | 1,554 | py | Python | examples/hello_world.py | keredson/tinyweb | 9b4619cef1bf3c1c25c3ec970c13a117e4b49346 | [
"MIT"
] | 138 | 2018-01-22T20:57:38.000Z | 2022-03-20T20:25:57.000Z | examples/hello_world.py | davidmoshal/tinyweb | 33d73c90f005cfd3423affe358cad0f13c37728f | [
"MIT"
] | 43 | 2018-01-04T19:40:50.000Z | 2022-03-11T04:13:56.000Z | examples/hello_world.py | davidmoshal/tinyweb | 33d73c90f005cfd3423affe358cad0f13c37728f | [
"MIT"
] | 31 | 2018-01-04T19:44:43.000Z | 2022-02-25T18:22:59.000Z | #!/usr/bin/env micropython
"""
MIT license
(C) Konstantin Belyalov 2017-2018
"""
import tinyweb
# Create web server application
app = tinyweb.webserver()
# Index page
@app.route('/')
async def index(request, response):
# Start HTTP response with content-type text/html
await response.start_html()
# Send ... | 25.47541 | 99 | 0.608752 | import tinyweb
app = tinyweb.webserver()
@app.route('/')
async def index(request, response):
await response.start_html()
await response.send('<html><body><h1>Hello, world! (<a href="/table">table</a>)</h1></html>\n')
@app.route('/redirect')
async def redirect(request, response):
await resp... | true | true |
1c337acc17a2be10f8496a8319d99b7d4033b230 | 1,148 | py | Python | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | 1 | 2021-06-07T07:55:28.000Z | 2021-06-07T07:55:28.000Z | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | '''
Description : Creating Filter, Map, Reduce Using Lambda In CheckEven & Increment Function
Function Date : 21 Feb 2021
Function Author : Prasad Dangare
Input : Int
Output : Int
'''
from functools import reduce
CheckEven = lambda no : (no % 2 == 0) # (no % 2) it disp... | 25.511111 | 96 | 0.591463 |
from functools import reduce
CheckEven = lambda no : (no % 2 == 0)
Increment = lambda no : no + 2
Add = lambda no1,no2: no1 + no2
def Add(no1, no2):
return no1 + no2
def main():
arr = []
print("Enter Number Of Elements : ")
size = int(input())
for i in range(size):
... | true | true |
1c337ba90e3206e8f089b8a4898c1d48a9a249cf | 695 | py | Python | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'cockroach_example.settings')
try:
from django.core.management import execute_from_command_... | 30.217391 | 82 | 0.661871 | import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'cockroach_example.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's in... | true | true |
1c337bee7cd0693eab260160e467f2c2904382dd | 1,547 | py | Python | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 56 | 2016-08-19T10:47:24.000Z | 2022-01-04T16:19:40.000Z | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 8 | 2016-11-18T17:02:55.000Z | 2020-02-05T02:45:05.000Z | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 30 | 2017-07-17T19:06:15.000Z | 2022-03-26T12:03:01.000Z | from django.db.models.sql.subqueries import UpdateQuery as BaseUpdateQuery
from django.utils import six
from django.core.exceptions import FieldError
class UpdateQuery(BaseUpdateQuery):
def add_update_values(self, values):
"""
Convert a dictionary of field name to value mappings into an update
... | 45.5 | 94 | 0.570136 | from django.db.models.sql.subqueries import UpdateQuery as BaseUpdateQuery
from django.utils import six
from django.core.exceptions import FieldError
class UpdateQuery(BaseUpdateQuery):
def add_update_values(self, values):
values_seq = []
for name, val in six.iteritems(values):
if '__' ... | true | true |
1c337d56b55c427783a9423271a2671bd9e50c9a | 21,999 | py | Python | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | from collections import OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.contrib.staging import StagingArea
from baselines import logger
from baselines.her.util import (
import_function, store_args, flatten_grads, transitions_in_episode_batch, convert_episode_to_batch_major)
from baselines.h... | 48.995546 | 212 | 0.630347 | from collections import OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.contrib.staging import StagingArea
from baselines import logger
from baselines.her.util import (
import_function, store_args, flatten_grads, transitions_in_episode_batch, convert_episode_to_batch_major)
from baselines.h... | true | true |
1c337e6758b16a9bafaa9f9554d376509b23dd65 | 49 | py | Python | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | import helper
helper.print_message("Good day!")
| 12.25 | 33 | 0.77551 | import helper
helper.print_message("Good day!")
| true | true |
1c337e7eeef15dde12d44510cd913c3e9a628fd0 | 7,825 | py | Python | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 21 | 2018-03-29T14:20:35.000Z | 2021-10-13T05:11:41.000Z | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 14 | 2018-01-30T15:45:46.000Z | 2022-02-23T14:23:21.000Z | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 18 | 2018-01-03T15:09:56.000Z | 2021-07-16T02:21:54.000Z | # coding: utf-8
"""
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environmen... | 32.334711 | 1,052 | 0.689968 |
from __future__ import absolute_import
import unittest
import intersight
from intersight.api.niaapi_api import NiaapiApi from intersight.rest import ApiException
class TestNiaapiApi(unittest.TestCase):
def setUp(self):
self.api = intersight.api.niaapi_api.NiaapiApi()
def tearDown(self):
... | true | true |
1c338012d5f71015b69976f28bb231597f53471c | 4,188 | py | Python | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | jie311/FGD | 031ef509f2f19c281132447d82a1c077943eb64e | [
"Apache-2.0"
] | 103 | 2021-11-23T07:12:41.000Z | 2022-03-31T13:28:10.000Z | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | jie311/FGD | 031ef509f2f19c281132447d82a1c077943eb64e | [
"Apache-2.0"
] | 18 | 2021-11-29T14:59:21.000Z | 2022-03-31T09:43:39.000Z | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | Senwang98/Lightweight-Detection-and-KD | 7d6a4c02d922d4ed0920c9108f1f06dd63c5e90b | [
"Apache-2.0"
] | 12 | 2021-11-28T10:26:38.000Z | 2022-03-28T06:10:44.000Z | _base_ = [
'../../_base_/datasets/coco_detection.py',
'../../_base_/schedules/schedule_2x.py', '../../_base_/default_runtime.py'
]
# model settings
find_unused_parameters=True
temp=0.5
alpha_fgd=0.00005
beta_fgd=0.000025
gamma_fgd=0.00005
lambda_fgd=0.0000005
distiller = dict(
type='DetectionDistiller',
... | 49.857143 | 198 | 0.401862 | _base_ = [
'../../_base_/datasets/coco_detection.py',
'../../_base_/schedules/schedule_2x.py', '../../_base_/default_runtime.py'
]
find_unused_parameters=True
temp=0.5
alpha_fgd=0.00005
beta_fgd=0.000025
gamma_fgd=0.00005
lambda_fgd=0.0000005
distiller = dict(
type='DetectionDistiller',
teacher_pretrain... | true | true |
1c3380428247352863fee058af182659e36101fa | 10,798 | py | Python | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | 3 | 2018-12-28T14:12:53.000Z | 2019-06-08T16:30:25.000Z | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | null | null | null | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | null | null | null | from __future__ import division, print_function
import numpy as np
import cupy
from graduateutil import divide_on_feature, train_test_split, standardize, mean_squared_error
from graduateutil import calculate_entropy, accuracy_score, calculate_variance
class DecisionNode():
"""Class that represents a decision nod... | 39.265455 | 104 | 0.602889 | from __future__ import division, print_function
import numpy as np
import cupy
from graduateutil import divide_on_feature, train_test_split, standardize, mean_squared_error
from graduateutil import calculate_entropy, accuracy_score, calculate_variance
class DecisionNode():
def __init__(self, feature_i=None, thre... | true | true |
1c338084d15ebb05209be561572bd9f31821a301 | 289 | py | Python | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | 1 | 2019-01-16T05:00:29.000Z | 2019-01-16T05:00:29.000Z | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | null | null | null | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | null | null | null | '''This file has all the definitions'''
weekends = ["Sunday", "Saturday"]
weekdays = ["Monday","Tuesday","Wednesday","Thursday","Friday"]
days = ["Sunday", "Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
unusable_words = ["Name", "Off", "Days", "========================"]
| 41.285714 | 80 | 0.598616 |
weekends = ["Sunday", "Saturday"]
weekdays = ["Monday","Tuesday","Wednesday","Thursday","Friday"]
days = ["Sunday", "Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
unusable_words = ["Name", "Off", "Days", "========================"]
| true | true |
1c3380ecd30ca56195bc242c33cef8c3f44c596d | 4,329 | py | Python | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | null | null | null | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | 3 | 2019-11-16T08:10:48.000Z | 2020-03-14T23:14:41.000Z | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import uuid
from django.db import models
from django.db.models.signals import post_delete
from django.dispatch import receiver
from django.urls import reverse
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFit
from datetime import datet... | 37.973684 | 146 | 0.635482 | import uuid
from django.db import models
from django.db.models.signals import post_delete
from django.dispatch import receiver
from django.urls import reverse
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFit
from datetime import datetime
def event_date(start, end):
if end is ... | true | true |
1c33815f990bfe1e8339c56f82402e636f730e30 | 938 | py | Python | clients/client/python/test/test_identity_schema_location.py | ory/sdk | 9849c6115f44f4b7612ad246124d80b4401fd730 | [
"Apache-2.0"
] | 77 | 2020-02-14T17:27:36.000Z | 2022-03-25T08:44:52.000Z | clients/client/python/test/test_identity_schema_location.py | vinckr/sdk | 5b93557835af7ad3662ef620b3ef10729149d484 | [
"Apache-2.0"
] | 125 | 2020-02-07T21:45:52.000Z | 2022-03-31T12:54:24.000Z | clients/client/python/test/test_identity_schema_location.py | vinckr/sdk | 5b93557835af7ad3662ef620b3ef10729149d484 | [
"Apache-2.0"
] | 44 | 2020-01-31T22:05:47.000Z | 2022-03-09T14:41:22.000Z | """
Ory APIs
Documentation for all public and administrative Ory APIs. Administrative APIs can only be accessed with a valid Personal Access Token. Public APIs are mostly used in browsers. # noqa: E501
The version of the OpenAPI document: v0.0.1-alpha.30
Contact: support@ory.sh
Generated by: htt... | 25.351351 | 194 | 0.716418 |
import sys
import unittest
import ory_client
from ory_client.model.identity_schema_location import IdentitySchemaLocation
class TestIdentitySchemaLocation(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def testIdentitySchemaLocation(self):
... | true | true |
1c33821447ee3a2205f9ad20463239156a6209b2 | 1,375 | py | Python | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | import math, string, itertools, fractions, heapq, collections, re, array, bisect, sys, copy, functools, random
from collections import deque, defaultdict, Counter; from heapq import heappush, heappop
from itertools import permutations, combinations, product, accumulate, groupby
from bisect import bisect_left, bisect_ri... | 50.925926 | 111 | 0.593455 | import math, string, itertools, fractions, heapq, collections, re, array, bisect, sys, copy, functools, random
from collections import deque, defaultdict, Counter; from heapq import heappush, heappop
from itertools import permutations, combinations, product, accumulate, groupby
from bisect import bisect_left, bisect_ri... | true | true |
1c33828faa0aa4daff20627b4fe5cc532a8ee1a8 | 321 | py | Python | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | 1 | 2021-05-11T14:15:11.000Z | 2021-05-11T14:15:11.000Z | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | 14 | 2021-02-23T11:53:08.000Z | 2021-11-16T10:45:31.000Z | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | null | null | null | #!/usr/bin/python3.7
########################################################################################
# __init__.py - The init module for the PVT model component.
#
# Author: Ben Winchester
# Copyright: Ben Winchester, 2020
########################################################################################... | 40.125 | 88 | 0.327103 | true | true | |
1c3382fc20e6b4435b9f77ff3cc16a4a96a24d0b | 34,879 | py | Python | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | import unittest
from src.builder_factory import LogicType
from src.Parser.PropParser import PropParser
from src.TableauxBuilder.BaseManualTableau import BaseManualTableau, BaseTableauxBuilder
from src.TableauxBuilder.IpcTableauxBuilder import IpcTableauxBuilder
def parse(expr: str):
return PropParser.parse(expr)... | 33.764763 | 99 | 0.577998 | import unittest
from src.builder_factory import LogicType
from src.Parser.PropParser import PropParser
from src.TableauxBuilder.BaseManualTableau import BaseManualTableau, BaseTableauxBuilder
from src.TableauxBuilder.IpcTableauxBuilder import IpcTableauxBuilder
def parse(expr: str):
return PropParser.parse(expr)... | true | true |
1c3384e6fe16456cdbde54061a311b075d5a9da1 | 29 | py | Python | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 1 | 2021-01-07T02:45:38.000Z | 2021-01-07T02:45:38.000Z | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 21 | 2020-05-18T16:38:22.000Z | 2021-08-24T16:46:24.000Z | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 1 | 2020-05-18T16:36:35.000Z | 2020-05-18T16:36:35.000Z | """tests for the CLI tool"""
| 14.5 | 28 | 0.62069 | true | true | |
1c33851d2b3f96989d1efe22871a59d33273da9d | 141 | py | Python | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | from django.urls import path, include
from . import views
app_name = 'example'
urlpatterns = [
path('', views.index, name='index'),
]
| 14.1 | 40 | 0.673759 | from django.urls import path, include
from . import views
app_name = 'example'
urlpatterns = [
path('', views.index, name='index'),
]
| true | true |
1c3385c27648c79188c5318fa397b3bfcb64799f | 1,397 | py | Python | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | 1 | 2022-02-10T15:29:33.000Z | 2022-02-10T15:29:33.000Z | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | null | null | null | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | null | null | null | print("Type 'help' for show command")
import os
from colorama import init
from colorama import Fore
init()
c=1
while True :
pw=input(Fore.RED + 'G-BOT>')
print()
if pw == 'help':
print("----------COMMAND----------\n\n 1.hey g-bot\n 2.i am fine and you\n 3.who is your boss\n 4.who gave you this name\n... | 43.65625 | 189 | 0.569077 | print("Type 'help' for show command")
import os
from colorama import init
from colorama import Fore
init()
c=1
while True :
pw=input(Fore.RED + 'G-BOT>')
print()
if pw == 'help':
print("----------COMMAND----------\n\n 1.hey g-bot\n 2.i am fine and you\n 3.who is your boss\n 4.who gave you this name\n... | true | true |
1c338654e5da1e13145829ea4df34006bc84f57f | 3,698 | py | Python | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | from datetime import (
datetime,
timedelta
)
from unittest import TestCase
from mock import patch
try: # celery 3.x
from celery.utils.timeutils import timezone
except ImportError: # celery 4.x
from celery.utils.time import timezone
from redbeat.schedules import rrule
@patch.object(rrule, 'now', dat... | 42.022727 | 94 | 0.685506 | from datetime import (
datetime,
timedelta
)
from unittest import TestCase
from mock import patch
try: from celery.utils.timeutils import timezone
except ImportError: from celery.utils.time import timezone
from redbeat.schedules import rrule
@patch.object(rrule, 'now', datetime.utcnow)
@patch.objec... | true | true |
1c3386f366875ac76dffe8e01e1ffd6fa00ba05d | 6,725 | py | Python | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | import collections
import dataclasses
import json
import logging
from datetime import datetime, timezone
from typing import Dict, Iterable, List, Optional
import pydantic
import pydantic.dataclasses
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
import datahub.emitter.mce_builder as builder... | 33.625 | 173 | 0.684164 | import collections
import dataclasses
import json
import logging
from datetime import datetime, timezone
from typing import Dict, Iterable, List, Optional
import pydantic
import pydantic.dataclasses
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
import datahub.emitter.mce_builder as builder... | true | true |
1c338708ba9ffe0bff745b5465014d4deb775853 | 5,676 | py | Python | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | 1 | 2016-03-16T02:34:08.000Z | 2016-04-20T19:31:30.000Z | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Functions to read shapefiles and create a NetworkModelGrid.
"""
import shapefile as ps
from shapefile import ShapefileException
from landlab.grid.network import NetworkModelGrid
def read_shapefile(file, dbf=None, store_polyline_vertices=True):
"""Read shapefile ... | 32.067797 | 83 | 0.59408 | import shapefile as ps
from shapefile import ShapefileException
from landlab.grid.network import NetworkModelGrid
def read_shapefile(file, dbf=None, store_polyline_vertices=True):
try:
sf = ps.Reader(file)
except ShapefileException:
try:
sf = ps.Reader(shp=file, dbf=dbf)
e... | true | true |
1c33885ab73973c5c33df2e9e517ec6a25907d24 | 1,031 | py | Python | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from delivery_proj.users.api.views import (
UserViewSet,
RestaurantViewSet,
CreateRestaurantViewSet,
CourierViewSet,
BuyerViewSet,
)
from delivery_proj.dishes.views import DishesListViewSet, DishesCreate... | 32.21875 | 77 | 0.794374 | from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from delivery_proj.users.api.views import (
UserViewSet,
RestaurantViewSet,
CreateRestaurantViewSet,
CourierViewSet,
BuyerViewSet,
)
from delivery_proj.dishes.views import DishesListViewSet, DishesCreate... | true | true |
1c3389847f06331c2903a02107214390a38adbea | 5,083 | py | Python | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 2 | 2021-09-25T12:48:31.000Z | 2021-10-01T16:59:43.000Z | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 2 | 2022-02-14T03:20:12.000Z | 2022-03-02T10:44:31.000Z | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 1 | 2021-06-06T04:30:02.000Z | 2021-06-06T04:30:02.000Z | from collections import defaultdict
from docutils.parsers.rst import directives
from sphinx import addnodes
from sphinx.directives import ObjectDescription
from sphinx.domains import Domain, Index
from sphinx.roles import XRefRole
from sphinx.util.nodes import make_refnode
class RecipeDirective(ObjectDescription):
... | 31.571429 | 78 | 0.613024 | from collections import defaultdict
from docutils.parsers.rst import directives
from sphinx import addnodes
from sphinx.directives import ObjectDescription
from sphinx.domains import Domain, Index
from sphinx.roles import XRefRole
from sphinx.util.nodes import make_refnode
class RecipeDirective(ObjectDescription):
... | true | true |
1c3389a940ec699819dd5b5b565bb6d39d01e0f5 | 5,286 | py | Python | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null |
import unittest
from cpuinfo import *
import helpers
class MockDataSource(object):
bits = '64bit'
cpu_count = 6
is_windows = False
arch_string_raw = 'aarch64'
uname_string_raw = ''
can_cpuid = False
@staticmethod
def has_proc_cpuinfo():
return True
@staticmethod
def has_lscpu():
return True
@stati... | 27.821053 | 99 | 0.694098 |
import unittest
from cpuinfo import *
import helpers
class MockDataSource(object):
bits = '64bit'
cpu_count = 6
is_windows = False
arch_string_raw = 'aarch64'
uname_string_raw = ''
can_cpuid = False
@staticmethod
def has_proc_cpuinfo():
return True
@staticmethod
def has_lscpu():
return True
@stati... | true | true |
1c338a3c880b366bde0f0b55bed72fa47ca41f96 | 3,267 | py | Python | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 2 | 2018-03-06T21:26:34.000Z | 2021-12-22T12:31:47.000Z | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 4 | 2019-12-16T20:37:48.000Z | 2020-03-30T20:08:36.000Z | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 2 | 2018-03-06T21:45:19.000Z | 2018-04-06T20:53:15.000Z | import numpy
import tensorflow
from collections import deque
class Preprocessor:
def __init__(self):
self.img = tensorflow.placeholder(
tensorflow.uint8,
shape=[210, 160, 3]
)
gray_img = tensorflow.image.rgb_to_grayscale(self.img)
resize_img ... | 33 | 76 | 0.584328 | import numpy
import tensorflow
from collections import deque
class Preprocessor:
def __init__(self):
self.img = tensorflow.placeholder(
tensorflow.uint8,
shape=[210, 160, 3]
)
gray_img = tensorflow.image.rgb_to_grayscale(self.img)
resize_img ... | true | true |
1c338b26f0776a4698a5f37082f87bdc9110edbf | 33,115 | py | Python | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 78 | 2018-02-20T00:38:43.000Z | 2022-03-11T04:11:04.000Z | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 39 | 2018-02-20T13:36:27.000Z | 2021-11-30T23:38:34.000Z | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 77 | 2018-02-20T00:45:12.000Z | 2022-02-14T21:21:15.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the fundrawtransaction RPC."""
from test_framework.test_framework import BitcoinTestFramework
fro... | 45.177353 | 223 | 0.569651 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
def get_unspent(listunspent, amount):
for utx in listunspent:
if utx['amount'] == amount:
return utx
raise AssertionError('Could not find unspent with amount={}'.format(amount))
class RawTran... | true | true |
1c338ee827f3d72ea745ec0b86a9646c7ce8fc3e | 219 | py | Python | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | bindings = {
"$col": None,
"$row": None,
"$left": None,
"$right": None,
"$top": None,
"$bottom": None,
"excel_sheet": None,
"item_table": None,
"created_by": None,
"code": None
}
| 16.846154 | 24 | 0.488584 | bindings = {
"$col": None,
"$row": None,
"$left": None,
"$right": None,
"$top": None,
"$bottom": None,
"excel_sheet": None,
"item_table": None,
"created_by": None,
"code": None
}
| true | true |
1c3391056e78312935375ca84db34f34357fc24e | 3,314 | py | Python | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
import torch
from torch.nn import UpsamplingNearest2d, UpsamplingBilinear2d
from rectpack import newPacker
def get_mnist_canvas(images, labels, nb_classes=10, dim=128):
canvas = -torch.ones((dim, dim))
noise_canvas = torch.zeros((nb_classes, dim, dim))
condition_canvas = torch.zeros((... | 31.561905 | 85 | 0.610441 | import numpy as np
import torch
from torch.nn import UpsamplingNearest2d, UpsamplingBilinear2d
from rectpack import newPacker
def get_mnist_canvas(images, labels, nb_classes=10, dim=128):
canvas = -torch.ones((dim, dim))
noise_canvas = torch.zeros((nb_classes, dim, dim))
condition_canvas = torch.zeros((... | true | true |
1c33916ee264c79fbaa5784392a842d3ae69941f | 1,791 | py | Python | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | '''
A empresa ABC resolveu conceder um aumento de salários a seus funcionários de acordo com a tabela abaixo:
| Salário | Percentual de reajuste |
| ----------------- | ---------------------- |
| 0 - 400.00 | 15% |
| 400.01 - 800.00 | 12% |
| 800.01 - 1200.00 ... | 33.792453 | 137 | 0.487437 |
salario = float(input())
if salario > 0 and salario <= 400.00:
reaj = salario * 0.15
perc = 15
elif salario >= 400.01 and salario <= 800.00:
reaj = salario * 0.12
perc = 12
elif salario >= 800.01 and salario <= 1200.00:
reaj = salario * 0.1
perc = 10
elif salario >= 1200.01 and salario <= 2000... | true | true |
1c3391bb5056d6b61b8866c71a4dff48e53c8011 | 14,150 | py | Python | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | null | null | null | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | 36 | 2020-06-12T07:36:49.000Z | 2022-03-29T14:06:48.000Z | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import os
import jinja2
from pathlib import Path # python3 only
from dotenv import dotenv_values
import sys
import gitlab
from itertools import product
tpl = r'''# THIS FILE IS AUTOGENERATED -- DO NOT EDIT #
# Edit and Re-run .ci/gitlab/template.ci.py instead #
stages:
- sanity
- ... | 29.852321 | 120 | 0.60735 |
import os
import jinja2
from pathlib import Path from dotenv import dotenv_values
import sys
import gitlab
from itertools import product
tpl = r'''# THIS FILE IS AUTOGENERATED -- DO NOT EDIT #
# Edit and Re-run .ci/gitlab/template.ci.py instead #
stages:
- sanity
- test
- build
- install_checks
- ... | true | true |
1c3392e6c9028b64b4c55b56789f2ea41763f5d4 | 690 | py | Python | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 33 | 2018-01-16T02:04:51.000Z | 2022-03-22T22:57:29.000Z | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 7 | 2019-06-16T22:02:03.000Z | 2021-10-02T13:45:31.000Z | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 14 | 2019-06-01T21:39:24.000Z | 2022-03-14T17:56:43.000Z | """
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from contextlib import contextmanager
from datetime import datetime
from http import HTTPStatus
from requests_mock import Mocker
def now() -> datetime:
return datetime.utcnow()
@contextmanager
def mocked_... | 20.909091 | 57 | 0.726087 |
from contextlib import contextmanager
from datetime import datetime
from http import HTTPStatus
from requests_mock import Mocker
def now() -> datetime:
return datetime.utcnow()
@contextmanager
def mocked_webhook_receiver(url: str):
with Mocker() as mock:
mock.post(url, status_code=HTTPStatus.NO_CO... | true | true |
1c3393cf1f4fce02e2eec81b119a7656e4dd6b91 | 6,401 | py | Python | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | 1 | 2019-08-19T19:30:06.000Z | 2019-08-19T19:30:06.000Z | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | null | null | null | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | null | null | null | """ RabbitMQ API
"""
import httplib
import base64
import os
import json
import collections
import datetime
import logging
_log = logging.getLogger()
# Use urllib.extra_quote to deal with weird names
def overview(host, user, password, port):
return dict(_create_http_client(host, user, password, port, 'overview'... | 35.759777 | 111 | 0.612248 |
import httplib
import base64
import os
import json
import collections
import datetime
import logging
_log = logging.getLogger()
def overview(host, user, password, port):
return dict(_create_http_client(host, user, password, port, 'overview'))
def status(host, user, password, port, node_name=None):
if node... | true | true |
1c3394928c52fedcbcc3da1f0b982b0115c87fd9 | 3,783 | py | Python | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
from db_schema import Link
from lxml import html
from io import StringIO
from urllib.parse import urljoin, urlparse
import logging
def parse_articles_url(website):
url_fragment = website.article_page
urls = list()
urls.append(url_fragment)
if "$c$" in url_... | 34.081081 | 102 | 0.564896 | from datetime import date, datetime, timedelta
from db_schema import Link
from lxml import html
from io import StringIO
from urllib.parse import urljoin, urlparse
import logging
def parse_articles_url(website):
url_fragment = website.article_page
urls = list()
urls.append(url_fragment)
if "$c$" in url_... | true | true |
1c3394d89f14bc25458db3b830953f77ae6fec43 | 6,005 | py | Python | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | import typing as tp
import jax.numpy as jnp
from treex import types, utils
from treex.losses.loss import Loss, Reduction
def mean_absolute_percentage_error(
target: jnp.ndarray, preds: jnp.ndarray
) -> jnp.ndarray:
"""
Computes the mean absolute percentage error (MAPE) between target and pre... | 39.506579 | 134 | 0.603664 | import typing as tp
import jax.numpy as jnp
from treex import types, utils
from treex.losses.loss import Loss, Reduction
def mean_absolute_percentage_error(
target: jnp.ndarray, preds: jnp.ndarray
) -> jnp.ndarray:
target = target.astype(preds.dtype)
diff = jnp.abs((preds - target) / jnp.max... | true | true |
1c339520bc67e47717c062f56f9d48e1307b4a84 | 5,979 | py | Python | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | borisdayma/NeMo | 88f6c5b93574adb219185d5ded14b6393c485ea0 | [
"Apache-2.0"
] | 10 | 2020-03-17T08:32:06.000Z | 2021-04-19T19:03:50.000Z | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | dcmartin/NeMo | d2120a40bf23d3e38ff5677c2685c712f297e6b1 | [
"Apache-2.0"
] | null | null | null | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | dcmartin/NeMo | d2120a40bf23d3e38ff5677c2685c712f297e6b1 | [
"Apache-2.0"
] | 1 | 2020-10-21T18:09:46.000Z | 2020-10-21T18:09:46.000Z | # =============================================================================
# Copyright 2020 NVIDIA. All Rights Reserved.
# Copyright 2018 The Google AI Language Team Authors and
# The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | 36.457317 | 109 | 0.629369 |
from typing import List, Optional
from transformers import (
ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP,
ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP,
RobertaConfig,
RobertaModel,
)
from nemo.backends.pytorch.nm import TrainableNM
from nemo.core.neural_modules import PretrainedModelInfo
from nemo.core.neural_type... | true | true |
1c33959f6b47a21892dd478875a12725a9158efb | 3,090 | py | Python | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | 1 | 2022-01-01T22:10:04.000Z | 2022-01-01T22:10:04.000Z | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | null | null | null | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | null | null | null | # normal libraries
import warnings
import numpy as np
from scipy.optimize import bisect
from scipy.stats import norm
# priv_libraries
from corai_util.finance.src.bs_model import BlackScholes, BlackScholesVegaCore
from corai_util.calculus.src.optimization import newtons_method_vectorised
# section #################... | 31.530612 | 111 | 0.568608 | import warnings
import numpy as np
from scipy.optimize import bisect
from scipy.stats import norm
from corai_util.finance.src.bs_model import BlackScholes, BlackScholesVegaCore
from corai_util.calculus.src.optimization import newtons_method_vectorised
def implied_vol_bisect(CallPutFlag, s0, K, T, R, d, experime... | true | true |
1c33963ddc2208d0f62dde80080df6d235a6776b | 3,576 | py | Python | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | 1 | 2022-03-15T04:46:00.000Z | 2022-03-15T04:46:00.000Z | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | null | null | null | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | null | null | null | import sys
import matplotlib.pyplot as plt
from util.typing.basic import *
from src.config import *
def show_figure_nonblocking() -> None:
plt.show(block = False)
plt.pause(0.001)
#end show_figure_nonblocking
def show_figure_blocking() -> None:
plt.show()
#end show_figure_blocking
def show_if(EPOCH: int,... | 21.672727 | 74 | 0.626957 | import sys
import matplotlib.pyplot as plt
from util.typing.basic import *
from src.config import *
def show_figure_nonblocking() -> None:
plt.show(block = False)
plt.pause(0.001)
def show_figure_blocking() -> None:
plt.show()
def show_if(EPOCH: int, LOOP: int):
def f(epoch: int, loop: int, call_back) ... | true | true |
1c3396417062d3ec1b72e781ca37319cb0613da5 | 290 | py | Python | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-04-29T04:47:02.000Z | 2022-03-11T12:43:01.000Z | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-02-27T14:30:47.000Z | 2021-12-02T14:18:34.000Z | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 1 | 2015-08-18T12:27:08.000Z | 2015-08-18T12:27:08.000Z | from typing import TypeVar, Callable, Iterable, NamedTuple
T = TypeVar('T')
ProgressLogger = NamedTuple('ProgressLogger', [
('info', Callable[[str], None]),
('progress', Callable[[Iterable[T]], Iterable[T]]),
])
NULL_PROGRESS_LOGGER = ProgressLogger(lambda x: None, lambda x: x)
| 26.363636 | 66 | 0.696552 | from typing import TypeVar, Callable, Iterable, NamedTuple
T = TypeVar('T')
ProgressLogger = NamedTuple('ProgressLogger', [
('info', Callable[[str], None]),
('progress', Callable[[Iterable[T]], Iterable[T]]),
])
NULL_PROGRESS_LOGGER = ProgressLogger(lambda x: None, lambda x: x)
| true | true |
1c3397c90b18c260506989d6c1cb6c79112d4026 | 82,161 | py | Python | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | """A Python module for interacting with Slack's Web API."""
import os
from asyncio import Future
from io import IOBase
from typing import Union, List, Optional, Dict
import slack.errors as e
from slack.web.base_client import BaseClient, SlackResponse
from slack.web.classes.views import View
class WebClient(BaseClien... | 39.768151 | 120 | 0.60082 | import os
from asyncio import Future
from io import IOBase
from typing import Union, List, Optional, Dict
import slack.errors as e
from slack.web.base_client import BaseClient, SlackResponse
from slack.web.classes.views import View
class WebClient(BaseClient):
def admin_apps_approve(
self, *, app_id: st... | true | true |
1c3397cdc024cd5f0e653607da67ecfb3686301f | 916 | py | Python | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | from openpyxl import load_workbook
filename = 'aalh_iit_churches_002.xlsx'
wb = load_workbook(filename)
ws = wb['Metadata Template']
minimumcol = 8
maximumcol = 8
minimumrow = 7
maximumrow = 43
iterationrow = 7
descol = 8
subcol = 9
for row in ws.iter_rows(min_row=minimumrow, min_col=minimumcol, max_... | 33.925926 | 105 | 0.673581 | from openpyxl import load_workbook
filename = 'aalh_iit_churches_002.xlsx'
wb = load_workbook(filename)
ws = wb['Metadata Template']
minimumcol = 8
maximumcol = 8
minimumrow = 7
maximumrow = 43
iterationrow = 7
descol = 8
subcol = 9
for row in ws.iter_rows(min_row=minimumrow, min_col=minimumcol, max_... | true | true |
1c3397e48e30fc936f6d18f9d7a3a6b56c6b794d | 2,551 | py | Python | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | 3 | 2021-02-11T15:26:02.000Z | 2021-07-24T22:03:39.000Z | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | null | null | null | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | null | null | null | import board as FTDI
import busio as Serial
import digitalio as GPIO
#import time
# Variables
block_start = 0
numblocks = 256
sector_start = 0
#numsectors = 16
# Configuration
CS_pin = FTDI.D7
baudrate = 40000000
# Constants
read = 0x03
sector_length = 0x1000
block_sectors = 0x10
sector_pages = 0x10
... | 17.472603 | 107 | 0.653469 | import board as FTDI
import busio as Serial
import digitalio as GPIO
block_start = 0
numblocks = 256
sector_start = 0
CS_pin = FTDI.D7
baudrate = 40000000
read = 0x03
sector_length = 0x1000
block_sectors = 0x10
sector_pages = 0x10
page_start = 0x00
cell = 0x00
FT232H = Serial.SPI(FTDI.SCLK, FTD... | true | true |
1c3398935e4f1c08d4d352959efa3e27f3ac89e5 | 1,080 | py | Python | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | # File: filereader.py
import configparser
import os
file_name = os.path.dirname(os.path.abspath(__file__)) + "/config.txt"
print(file_name)
class FileReader:
def read_config(self):
try :
self.config = configparser.ConfigParser()
self.config.readfp(open(file_name))
except IOError:
print("Config... | 20.769231 | 70 | 0.67963 |
import configparser
import os
file_name = os.path.dirname(os.path.abspath(__file__)) + "/config.txt"
print(file_name)
class FileReader:
def read_config(self):
try :
self.config = configparser.ConfigParser()
self.config.readfp(open(file_name))
except IOError:
print("Config file not found.\nMaki... | true | true |
1c33991366428f5d52c673c2fea88cb836034b3a | 21,097 | py | Python | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 2 | 2019-06-12T16:15:39.000Z | 2019-10-06T10:40:59.000Z | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 2 | 2017-06-29T14:11:05.000Z | 2022-01-24T09:28:04.000Z | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 1 | 2015-09-18T17:27:16.000Z | 2015-09-18T17:27:16.000Z | from sympy import Rational, S, Symbol, symbols, pi, sqrt, oo, Point2D, Segment2D, I
from sympy.core.compatibility import range
from sympy.geometry import (Circle, Ellipse, GeometryError, Line, Point, Polygon, Ray, RegularPolygon, Segment,
Triangle, intersection)
from sympy.utilities.pytest i... | 41.693676 | 111 | 0.582026 | from sympy import Rational, S, Symbol, symbols, pi, sqrt, oo, Point2D, Segment2D, I
from sympy.core.compatibility import range
from sympy.geometry import (Circle, Ellipse, GeometryError, Line, Point, Polygon, Ray, RegularPolygon, Segment,
Triangle, intersection)
from sympy.utilities.pytest i... | true | true |
1c33996306856d8ab8db44dd118d4cfa6add1638 | 8,846 | py | Python | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | glaudsonml/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | 35 | 2017-05-22T14:42:01.000Z | 2020-09-07T21:24:41.000Z | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | tmaxter/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | null | null | null | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | tmaxter/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | 5 | 2017-12-19T03:36:54.000Z | 2021-04-14T18:05:08.000Z | #!/usr/bin/env python
"""
Copyright (c) 2006-2016 sqlmap developers (http://sqlmap.org/)
See the file 'doc/COPYING' for copying permission
"""
from lib.core.common import Backend
from lib.core.common import randomStr
from lib.core.common import readInput
from lib.core.common import safeSQLIdentificatorNaming
from lib... | 37.168067 | 193 | 0.587723 |
from lib.core.common import Backend
from lib.core.common import randomStr
from lib.core.common import readInput
from lib.core.common import safeSQLIdentificatorNaming
from lib.core.common import unsafeSQLIdentificatorNaming
from lib.core.data import conf
from lib.core.data import kb
from lib.core.data import logger
f... | true | true |
1c339b096f870231440fe4df89c70a59a71d8ee8 | 2,741 | py | Python | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun May 15 22:37:00 2016
@author: Hossam Faris
"""
import random
import numpy
from colorama import Fore, Back, Style
from solution import solution
import time
def PSO(objf,lb,ub,dim,PopSize,iters):
# PSO parameters
# dim=30
# iters=200
Vmax=6
# PopSi... | 24.256637 | 92 | 0.484495 |
import random
import numpy
from colorama import Fore, Back, Style
from solution import solution
import time
def PSO(objf,lb,ub,dim,PopSize,iters):
Vmax=6
wMax=0.9
wMin=0.2
c1=2
c2=2
s=solution()
if not isinstance(lb, list):
lb = [lb] * dim
if not isinstance(ub, l... | true | true |
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