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f749deea6b841bbcb178c3ad4a786d763a403070 | 1,772 | py | Python | src/testers/unittests/test_immutable_registers.py | Ahmadmansoor/Triton | e1a8538ee1512999589f58c0272f0ee33f33c377 | [
"Apache-2.0"
] | 2 | 2019-08-01T06:58:30.000Z | 2020-03-28T04:38:12.000Z | src/testers/unittests/test_immutable_registers.py | Ahmadmansoor/Triton | e1a8538ee1512999589f58c0272f0ee33f33c377 | [
"Apache-2.0"
] | null | null | null | src/testers/unittests/test_immutable_registers.py | Ahmadmansoor/Triton | e1a8538ee1512999589f58c0272f0ee33f33c377 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# coding: utf-8
"""Test immutable registers."""
import unittest
import random
from triton import *
class TestImmutableAArch64Registers(unittest.TestCase):
def setUp(self):
"""Define the arch."""
self.ctx = TritonContext()
self.ctx.setArchitecture(ARCH.AARCH64)
... | 34.076923 | 83 | 0.68623 |
import unittest
import random
from triton import *
class TestImmutableAArch64Registers(unittest.TestCase):
def setUp(self):
self.ctx = TritonContext()
self.ctx.setArchitecture(ARCH.AARCH64)
def test_immutable(self):
x1 = self.ctx.registers.x1
x2 = self.ctx.registers.x2
... | true | true |
f749deebab268d5a59cd338fcf355998c2bfae83 | 336 | py | Python | design_patterns/prototype.py | CrazyMath/pywander | d9c8be27c562fe792c9f42f88d3b6a4aa63059e4 | [
"MIT"
] | null | null | null | design_patterns/prototype.py | CrazyMath/pywander | d9c8be27c562fe792c9f42f88d3b6a4aa63059e4 | [
"MIT"
] | null | null | null | design_patterns/prototype.py | CrazyMath/pywander | d9c8be27c562fe792c9f42f88d3b6a4aa63059e4 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
from copy import deepcopy
class Prototype(metaclass=ABCMeta):
@abstractmethod
def clone(self):
pass
class Concrete(Prototype):
def clone(self):
return deepcopy(self)
prototype = Concrete()
foo = prototype.clone()
bar = prototype.clone()
print(... | 14 | 39 | 0.699405 | from abc import ABCMeta, abstractmethod
from copy import deepcopy
class Prototype(metaclass=ABCMeta):
@abstractmethod
def clone(self):
pass
class Concrete(Prototype):
def clone(self):
return deepcopy(self)
prototype = Concrete()
foo = prototype.clone()
bar = prototype.clone()
print(... | true | true |
f749df81324f8bef6cf744a61e601dc20edd0726 | 5,312 | py | Python | protein_lm/embed_test.py | egonrian/google-research | 8177adbe9ca0d7e5a9463b54581fe6dd27be0974 | [
"Apache-2.0"
] | 3 | 2021-01-18T04:46:49.000Z | 2021-03-05T09:21:40.000Z | protein_lm/embed_test.py | Alfaxad/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | [
"Apache-2.0"
] | 7 | 2021-11-10T19:44:38.000Z | 2022-02-10T06:48:39.000Z | protein_lm/embed_test.py | Alfaxad/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | [
"Apache-2.0"
] | 4 | 2021-02-08T10:25:45.000Z | 2021-04-17T14:46:26.000Z | # coding=utf-8
# Copyright 2020 The Google Research 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 applicab... | 34.270968 | 80 | 0.661145 |
from absl.testing import absltest
from absl.testing import parameterized
import mock
import numpy as np
import tensorflow.compat.v1 as tf
from protein_lm import data
from protein_lm import embed
from protein_lm import models
class EncodingTest(parameterized.TestCase, tf.test.TestCase):
@parameter... | true | true |
f749df8dc570e3ba53eff9646d86aee3a4b99d50 | 32,715 | py | Python | dfvfs/vfs/tsk_file_entry.py | dfjxs/dfvfs | a4154b07bb08c3c86afa2847f3224189dd80c138 | [
"Apache-2.0"
] | 176 | 2015-01-02T13:55:39.000Z | 2022-03-12T11:44:37.000Z | dfvfs/vfs/tsk_file_entry.py | dfjxs/dfvfs | a4154b07bb08c3c86afa2847f3224189dd80c138 | [
"Apache-2.0"
] | 495 | 2015-01-13T06:47:06.000Z | 2022-03-12T11:07:03.000Z | dfvfs/vfs/tsk_file_entry.py | dfjxs/dfvfs | a4154b07bb08c3c86afa2847f3224189dd80c138 | [
"Apache-2.0"
] | 62 | 2015-02-23T08:19:38.000Z | 2022-03-18T06:01:22.000Z | # -*- coding: utf-8 -*-
"""The SleuthKit (TSK) file entry implementation."""
import copy
import decimal
from dfdatetime import definitions as dfdatetime_definitions
from dfdatetime import factory as dfdatetime_factory
from dfdatetime import interface as dfdatetime_interface
import pytsk3
from dfvfs.lib import defin... | 34.256545 | 80 | 0.695583 |
import copy
import decimal
from dfdatetime import definitions as dfdatetime_definitions
from dfdatetime import factory as dfdatetime_factory
from dfdatetime import interface as dfdatetime_interface
import pytsk3
from dfvfs.lib import definitions
from dfvfs.lib import errors
from dfvfs.path import tsk_path_spec
fro... | true | true |
f749e07587c2572daf64a5cf1d5c59c1cfbeed02 | 60,919 | py | Python | moto/events/models.py | acapagarcia/moto | 82f9917b7f38248ae1a008222ed2394fdbc4409b | [
"Apache-2.0"
] | null | null | null | moto/events/models.py | acapagarcia/moto | 82f9917b7f38248ae1a008222ed2394fdbc4409b | [
"Apache-2.0"
] | null | null | null | moto/events/models.py | acapagarcia/moto | 82f9917b7f38248ae1a008222ed2394fdbc4409b | [
"Apache-2.0"
] | null | null | null | import copy
import os
import re
import json
import sys
import warnings
from collections import namedtuple
from datetime import datetime
from enum import Enum, unique
from json import JSONDecodeError
from operator import lt, le, eq, ge, gt
from boto3 import Session
from collections import OrderedDict
from moto.core.ex... | 33.638321 | 122 | 0.594724 | import copy
import os
import re
import json
import sys
import warnings
from collections import namedtuple
from datetime import datetime
from enum import Enum, unique
from json import JSONDecodeError
from operator import lt, le, eq, ge, gt
from boto3 import Session
from collections import OrderedDict
from moto.core.ex... | true | true |
f749e08b67ff48f2c1e755fae480d51295255e5b | 4,498 | py | Python | ServerComponent/venv/Lib/site-packages/recordlinkage/standardise/cleaning.py | CDU55/FakeNews | 707bd48dd78851081d98ad21bbdadfc2720bd644 | [
"MIT"
] | null | null | null | ServerComponent/venv/Lib/site-packages/recordlinkage/standardise/cleaning.py | CDU55/FakeNews | 707bd48dd78851081d98ad21bbdadfc2720bd644 | [
"MIT"
] | 37 | 2020-10-20T08:30:53.000Z | 2020-12-22T13:15:45.000Z | ServerComponent/venv/Lib/site-packages/recordlinkage/standardise/cleaning.py | CDU55/FakeNews | 707bd48dd78851081d98ad21bbdadfc2720bd644 | [
"MIT"
] | 1 | 2020-10-19T14:55:23.000Z | 2020-10-19T14:55:23.000Z | from __future__ import division
from __future__ import absolute_import
# from __future__ import unicode_literals
from sklearn.feature_extraction.text import strip_accents_ascii, \
strip_accents_unicode
def clean(s, lowercase=True, replace_by_none=r'[^ \-\_A-Za-z0-9]+',
replace_by_whitespace=r'[\-\_]', ... | 28.833333 | 82 | 0.632503 | from __future__ import division
from __future__ import absolute_import
from sklearn.feature_extraction.text import strip_accents_ascii, \
strip_accents_unicode
def clean(s, lowercase=True, replace_by_none=r'[^ \-\_A-Za-z0-9]+',
replace_by_whitespace=r'[\-\_]', strip_accents=None,
remove_brac... | true | true |
f749e0b02a6ecbc11ba2eef58e6afab0e7e5ec03 | 1,985 | py | Python | justice/summarize.py | aimalz/justice | 2edcb471cd01d6659a498bcd0209cb5dae83375a | [
"MIT"
] | 1 | 2018-09-17T01:30:34.000Z | 2018-09-17T01:30:34.000Z | justice/summarize.py | aimalz/justice | 2edcb471cd01d6659a498bcd0209cb5dae83375a | [
"MIT"
] | 38 | 2018-06-12T18:55:25.000Z | 2019-01-13T21:13:09.000Z | justice/summarize.py | aimalz/justice | 2edcb471cd01d6659a498bcd0209cb5dae83375a | [
"MIT"
] | 2 | 2018-08-19T21:38:30.000Z | 2018-09-09T19:00:03.000Z | """Tools for summarizing lightcurve data into statistics"""
import numpy as np
import scipy.optimize as spo
from tensorflow.contrib.framework import nest
from justice import lightcurve
from justice import xform
def opt_alignment(
lca: lightcurve._LC,
lcb: lightcurve._LC,
ivals=None,
constraints=None... | 29.626866 | 83 | 0.665995 |
import numpy as np
import scipy.optimize as spo
from tensorflow.contrib.framework import nest
from justice import lightcurve
from justice import xform
def opt_alignment(
lca: lightcurve._LC,
lcb: lightcurve._LC,
ivals=None,
constraints=None,
method='Nelder-Mead',
options=None,
vb=True,
)... | true | true |
f749e18e92b0cbc11d8e878aae31bb649d12c212 | 1,632 | py | Python | pan_inventory_frontend/config.py | bradatkinson/pan_inventory | 4620fa8c3957ead218c18d1e2efdbd2310eaf9ee | [
"MIT"
] | 1 | 2019-03-07T16:41:03.000Z | 2019-03-07T16:41:03.000Z | pan_inventory_frontend/config.py | bradatkinson/pan_inventory | 4620fa8c3957ead218c18d1e2efdbd2310eaf9ee | [
"MIT"
] | null | null | null | pan_inventory_frontend/config.py | bradatkinson/pan_inventory | 4620fa8c3957ead218c18d1e2efdbd2310eaf9ee | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2019 Brad Atkinson <brad.scripting@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the ri... | 40.8 | 79 | 0.72549 |
paloalto = {
'username': '<USERNAME>',
'password': '<PASSWORD>',
'key': '<API_KEY>',
'panorama_ips': ['<PANO_MGMT_IP1>', '<PANO_MGMT_IP2>']
}
mongo = {
'write_username': '<WRITE_USERNAME>',
'write_password': '<WRITE_PASSWORD>',
'read_username': '<READ_USERNAME>',
... | true | true |
f749e24c596fa7f7b9205d2c32b1d294f7bf3f71 | 20,370 | py | Python | kmodes/kprototypes.py | nilkeshpatra/kmodes | f4b5582e7bb872b15ec4e2c135fd40bd42642e83 | [
"MIT"
] | null | null | null | kmodes/kprototypes.py | nilkeshpatra/kmodes | f4b5582e7bb872b15ec4e2c135fd40bd42642e83 | [
"MIT"
] | null | null | null | kmodes/kprototypes.py | nilkeshpatra/kmodes | f4b5582e7bb872b15ec4e2c135fd40bd42642e83 | [
"MIT"
] | null | null | null | """
K-prototypes clustering for mixed categorical and numerical data
"""
# pylint: disable=super-on-old-class,unused-argument,attribute-defined-outside-init
from collections import defaultdict
import numpy as np
from scipy import sparse
from sklearn.externals.joblib import Parallel, delayed
from sklearn.utils import... | 41.741803 | 92 | 0.604467 |
from collections import defaultdict
import numpy as np
from scipy import sparse
from sklearn.externals.joblib import Parallel, delayed
from sklearn.utils import check_random_state
from sklearn.utils.validation import check_array
from . import kmodes
from .util import get_max_value_key, encode_features, get_unique_... | true | true |
f749e419572be20d59b22710aaca3b9d9923778a | 4,122 | py | Python | model/utils/text.py | anuragphadnis/im2latex2 | 3e5bcb400d7bdff9cfd8ed03b821b3b6cb809b9b | [
"Apache-2.0"
] | 1 | 2021-05-09T14:15:09.000Z | 2021-05-09T14:15:09.000Z | model/utils/text.py | anuragphadnis/im2latex2 | 3e5bcb400d7bdff9cfd8ed03b821b3b6cb809b9b | [
"Apache-2.0"
] | null | null | null | model/utils/text.py | anuragphadnis/im2latex2 | 3e5bcb400d7bdff9cfd8ed03b821b3b6cb809b9b | [
"Apache-2.0"
] | null | null | null | import numpy as np
from collections import Counter
class Vocab(object):
def __init__(self, config):
self.config = config
self.load_vocab()
def load_vocab(self):
special_tokens = [self.config.unk, self.config.pad, self.config.end]
self.tok_to_id = load_tok_to_id(self.config.p... | 26.593548 | 79 | 0.609898 | import numpy as np
from collections import Counter
class Vocab(object):
def __init__(self, config):
self.config = config
self.load_vocab()
def load_vocab(self):
special_tokens = [self.config.unk, self.config.pad, self.config.end]
self.tok_to_id = load_tok_to_id(self.config.p... | true | true |
f749e4540ff86d3655d5771d0f8033c62422a3a1 | 1,079 | py | Python | clients/client/python/test/test_ui_node.py | simoneromano96/sdk | a6113d0daefbbb803790297e4b242d4c7cbbcb22 | [
"Apache-2.0"
] | null | null | null | clients/client/python/test/test_ui_node.py | simoneromano96/sdk | a6113d0daefbbb803790297e4b242d4c7cbbcb22 | [
"Apache-2.0"
] | null | null | null | clients/client/python/test/test_ui_node.py | simoneromano96/sdk | a6113d0daefbbb803790297e4b242d4c7cbbcb22 | [
"Apache-2.0"
] | null | null | null | """
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.3
Contact: support@ory.sh
Generated by: http... | 25.093023 | 194 | 0.70899 |
import sys
import unittest
import ory_client
from ory_client.model.meta import Meta
from ory_client.model.ui_node_attributes import UiNodeAttributes
from ory_client.model.ui_texts import UiTexts
globals()['Meta'] = Meta
globals()['UiNodeAttributes'] = UiNodeAttributes
globals()['UiTexts'] = UiTexts
from ory_client.m... | true | true |
f749e4aa19f875cf56f9f883600ab70096c9df9e | 4,283 | py | Python | python_old/magnetic_field_simulation.py | Devanthro/ball_in_socket_estimator | 5793db2dfd22b693c082694c2130a16c92164d70 | [
"BSD-3-Clause"
] | 3 | 2018-10-22T03:29:13.000Z | 2021-09-24T21:04:01.000Z | python_old/magnetic_field_simulation.py | Devanthro/ball_in_socket_estimator | 5793db2dfd22b693c082694c2130a16c92164d70 | [
"BSD-3-Clause"
] | null | null | null | python_old/magnetic_field_simulation.py | Devanthro/ball_in_socket_estimator | 5793db2dfd22b693c082694c2130a16c92164d70 | [
"BSD-3-Clause"
] | 1 | 2021-09-08T10:13:50.000Z | 2021-09-08T10:13:50.000Z | import numpy as np
import matplotlib.pyplot as plt
from magpylib.source.magnet import Box,Cylinder
from magpylib import Collection, displaySystem, Sensor
from scipy.optimize import fsolve, least_squares
import matplotlib.animation as manimation
import random
import MDAnalysis
import MDAnalysis.visualization.streamlines... | 40.40566 | 273 | 0.578099 | import numpy as np
import matplotlib.pyplot as plt
from magpylib.source.magnet import Box,Cylinder
from magpylib import Collection, displaySystem, Sensor
from scipy.optimize import fsolve, least_squares
import matplotlib.animation as manimation
import random
import MDAnalysis
import MDAnalysis.visualization.streamlines... | true | true |
f749e513acf2c204d20a41b2b9d90b606eb61152 | 21,509 | py | Python | test/dialect/oracle/test_reflection.py | gujun4990/sqlalchemy | 057bae2295feb86529a04f09cd2f3d4c2c6d88a8 | [
"MIT"
] | 1 | 2018-11-15T16:02:17.000Z | 2018-11-15T16:02:17.000Z | test/dialect/oracle/test_reflection.py | gujun4990/sqlalchemy | 057bae2295feb86529a04f09cd2f3d4c2c6d88a8 | [
"MIT"
] | null | null | null | test/dialect/oracle/test_reflection.py | gujun4990/sqlalchemy | 057bae2295feb86529a04f09cd2f3d4c2c6d88a8 | [
"MIT"
] | null | null | null | # coding: utf-8
from sqlalchemy.testing import eq_, is_
from sqlalchemy import exc
from sqlalchemy.sql import table
from sqlalchemy.testing import fixtures, AssertsCompiledSQL
from sqlalchemy import testing
from sqlalchemy import Integer, Text, LargeBinary, Unicode, UniqueConstraint,\
Index, MetaData, select, ins... | 35.968227 | 78 | 0.581849 |
from sqlalchemy.testing import eq_, is_
from sqlalchemy import exc
from sqlalchemy.sql import table
from sqlalchemy.testing import fixtures, AssertsCompiledSQL
from sqlalchemy import testing
from sqlalchemy import Integer, Text, LargeBinary, Unicode, UniqueConstraint,\
Index, MetaData, select, inspect, ForeignKe... | true | true |
f749e75558947d54bbbb264685613ae938abe891 | 557 | py | Python | examples/simple/app.py | gieseladev/konfi | f6130a77a53ae912614b1be1159118a359cceecf | [
"MIT"
] | 1 | 2019-06-29T18:25:58.000Z | 2019-06-29T18:25:58.000Z | examples/simple/app.py | gieseladev/konfi | f6130a77a53ae912614b1be1159118a359cceecf | [
"MIT"
] | 4 | 2020-03-24T17:16:00.000Z | 2021-06-01T23:59:16.000Z | examples/simple/app.py | gieseladev/konfi | f6130a77a53ae912614b1be1159118a359cceecf | [
"MIT"
] | null | null | null | import konfi
@konfi.template()
class UserInfo:
name: str
country: str
@konfi.template()
class AppConfig:
name: str = "konfi"
user: UserInfo
if __name__ == "__main__":
konfi.set_sources(
konfi.YAML("config.yml"),
konfi.Env(prefix="app_"),
)
# the return type is usually ... | 19.892857 | 75 | 0.651706 | import konfi
@konfi.template()
class UserInfo:
name: str
country: str
@konfi.template()
class AppConfig:
name: str = "konfi"
user: UserInfo
if __name__ == "__main__":
konfi.set_sources(
konfi.YAML("config.yml"),
konfi.Env(prefix="app_"),
)
config: AppConfig =... | true | true |
f749e76b24b495d66a42c6790db6aadcad34f22e | 653 | py | Python | word_similarity/Dataset.py | mengzhu0308/word2vec | 09f5bb913d1a1007d54bd88ad44ba8c53ecc71ea | [
"Apache-2.0"
] | 1 | 2021-07-24T23:54:37.000Z | 2021-07-24T23:54:37.000Z | word_similarity/Dataset.py | mengzhu0308/word2vec | 09f5bb913d1a1007d54bd88ad44ba8c53ecc71ea | [
"Apache-2.0"
] | null | null | null | word_similarity/Dataset.py | mengzhu0308/word2vec | 09f5bb913d1a1007d54bd88ad44ba8c53ecc71ea | [
"Apache-2.0"
] | null | null | null | '''
@Author: ZM
@Date and Time: 2019/10/8 6:28
@File: Dataset.py
'''
class Dataset:
def __init__(self, x, y=None, transform=None, y_transform=None):
self.x = x
self.y = y
self.transform = transform
self.y_transform = y_transform
def __len__(self):
return... | 22.517241 | 68 | 0.529862 |
class Dataset:
def __init__(self, x, y=None, transform=None, y_transform=None):
self.x = x
self.y = y
self.transform = transform
self.y_transform = y_transform
def __len__(self):
return len(self.x)
def __getitem__(self, item):
x = self.x[item]
if se... | true | true |
f749e7fe7c50db3a5b78681b18567d9736b23c8d | 6,734 | py | Python | code/IO/Output.py | niksell/phenotypes-prediction-using-genotypes-Master-Thesis | c20b6ef89d0979d15266ad572c5aed56e28c4229 | [
"MIT"
] | null | null | null | code/IO/Output.py | niksell/phenotypes-prediction-using-genotypes-Master-Thesis | c20b6ef89d0979d15266ad572c5aed56e28c4229 | [
"MIT"
] | null | null | null | code/IO/Output.py | niksell/phenotypes-prediction-using-genotypes-Master-Thesis | c20b6ef89d0979d15266ad572c5aed56e28c4229 | [
"MIT"
] | null | null | null | import os.path
import time
import numpy as np
from DataStructure.PatientPhenotype import PatientPhenotype
from DataStructure.Snp import Snp
class Output:
def __init__(self,path,numberOfChromosomes):
self.__path = path
self.__numberOfChromosomes = numberOfChromosomes
def w... | 33.009804 | 126 | 0.407336 | import os.path
import time
import numpy as np
from DataStructure.PatientPhenotype import PatientPhenotype
from DataStructure.Snp import Snp
class Output:
def __init__(self,path,numberOfChromosomes):
self.__path = path
self.__numberOfChromosomes = numberOfChromosomes
def w... | true | true |
f749e8a3cc5532f05d672b11c34b610b1b28eba9 | 4,262 | py | Python | fashion_mnist_dropout01/model.py | HugoSenetaire/vaeac | 451d34dd4986c52f2f37c508f03ee3db9e7408d3 | [
"MIT"
] | null | null | null | fashion_mnist_dropout01/model.py | HugoSenetaire/vaeac | 451d34dd4986c52f2f37c508f03ee3db9e7408d3 | [
"MIT"
] | null | null | null | fashion_mnist_dropout01/model.py | HugoSenetaire/vaeac | 451d34dd4986c52f2f37c508f03ee3db9e7408d3 | [
"MIT"
] | null | null | null | from torch import nn
from torch.optim import Adam
from mask_generators import ImageMaskGenerator, DropoutMaskGenerator
from nn_utils import ResBlock, MemoryLayer, SkipConnection
from prob_utils import normal_parse_params, GaussianLoss
# sampler from the model generative distribution
# here we return mean of the Gaus... | 37.06087 | 82 | 0.631394 | from torch import nn
from torch.optim import Adam
from mask_generators import ImageMaskGenerator, DropoutMaskGenerator
from nn_utils import ResBlock, MemoryLayer, SkipConnection
from prob_utils import normal_parse_params, GaussianLoss
def sampler(params):
return normal_parse_params(params).mean
def optimizer... | true | true |
f749eb4ff01b42da4ddb7686df3b71e8b121ec2c | 9,087 | py | Python | fairseq/modules/conformer_layer.py | ncduy0303/fairseq | a086afb15b7d1737cd98831e975fd21b14ef6b07 | [
"MIT"
] | 8 | 2022-03-19T15:20:10.000Z | 2022-03-30T20:29:25.000Z | fairseq/modules/conformer_layer.py | ncduy0303/fairseq | a086afb15b7d1737cd98831e975fd21b14ef6b07 | [
"MIT"
] | null | null | null | fairseq/modules/conformer_layer.py | ncduy0303/fairseq | a086afb15b7d1737cd98831e975fd21b14ef6b07 | [
"MIT"
] | 2 | 2022-03-18T14:42:41.000Z | 2022-03-19T15:23:20.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from typing import Optional
from fairseq.modules import (
LayerNorm,
MultiheadAttention,
ESPNETMultiHeadedAttention,... | 30.59596 | 131 | 0.562892 |
import torch
from typing import Optional
from fairseq.modules import (
LayerNorm,
MultiheadAttention,
ESPNETMultiHeadedAttention,
RelPositionMultiHeadedAttention,
RotaryPositionMultiHeadedAttention,
)
from fairseq.utils import get_activation_fn
class ConvolutionModule(torch.nn.Module):
... | true | true |
f749eb55979b9450b7317ffbcc30a347d6e0cf7f | 51,715 | gyp | Python | base/base.gyp | anirudhSK/chromium | a8f23c87e656ab9ba49de9ccccbc53f614cdcb41 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | base/base.gyp | anirudhSK/chromium | a8f23c87e656ab9ba49de9ccccbc53f614cdcb41 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | base/base.gyp | anirudhSK/chromium | a8f23c87e656ab9ba49de9ccccbc53f614cdcb41 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2015-04-17T13:19:09.000Z | 2021-10-21T12:55:15.000Z | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'variables': {
'chromium_code': 1,
},
'includes': [
'../build/win_precompile.gypi',
'base.gypi',
],
'targets': [
{
'tar... | 34.522697 | 160 | 0.538973 |
{
'variables': {
'chromium_code': 1,
},
'includes': [
'../build/win_precompile.gypi',
'base.gypi',
],
'targets': [
{
'target_name': 'base',
'type': '<(component)',
'toolsets': ['host', 'target'],
'variables': {
'base_target': 1,
'enable_wexit_time_de... | true | true |
f749eb7f645d9478b8aaeb0944b510998d7bc38e | 812 | py | Python | src/algorithm/graph/bfs.py | krjakbrjak/algo-pg | 1ad6cffea69c0a35139a6fc89e4766079f2a90cd | [
"MIT"
] | null | null | null | src/algorithm/graph/bfs.py | krjakbrjak/algo-pg | 1ad6cffea69c0a35139a6fc89e4766079f2a90cd | [
"MIT"
] | null | null | null | src/algorithm/graph/bfs.py | krjakbrjak/algo-pg | 1ad6cffea69c0a35139a6fc89e4766079f2a90cd | [
"MIT"
] | null | null | null | from collections import deque
from dataclasses import dataclass, field
from typing import Iterator, Tuple
from algorithm.graph.node import Graph, Node
@dataclass
class BFS:
graph: Graph = field(default_factory=Graph)
visited: Tuple[int, ...] = field(default_factory=tuple)
queue: deque = field(default_fac... | 30.074074 | 84 | 0.628079 | from collections import deque
from dataclasses import dataclass, field
from typing import Iterator, Tuple
from algorithm.graph.node import Graph, Node
@dataclass
class BFS:
graph: Graph = field(default_factory=Graph)
visited: Tuple[int, ...] = field(default_factory=tuple)
queue: deque = field(default_fac... | true | true |
f749ebb2e1acbb574f2ca574909aa17201334895 | 12,252 | py | Python | corehq/util/couch.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | corehq/util/couch.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | corehq/util/couch.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | import json
import traceback
from collections import defaultdict, namedtuple
from copy import deepcopy
from functools import partial
from time import sleep
from couchdbkit import ResourceNotFound, BulkSaveError, Document
from django.conf import settings
from django.http import Http404
from jsonobject.exceptions import... | 34.128134 | 100 | 0.622103 | import json
import traceback
from collections import defaultdict, namedtuple
from copy import deepcopy
from functools import partial
from time import sleep
from couchdbkit import ResourceNotFound, BulkSaveError, Document
from django.conf import settings
from django.http import Http404
from jsonobject.exceptions import... | true | true |
f749ebe971fabbff24ef208b7de71c6974532cf7 | 1,880 | py | Python | tests/test_models_cast.py | jdolter/django-tagulous | 90c6ee5ac54ef1127f2edcfac10c5ef3ab09e255 | [
"Apache-2.0"
] | null | null | null | tests/test_models_cast.py | jdolter/django-tagulous | 90c6ee5ac54ef1127f2edcfac10c5ef3ab09e255 | [
"Apache-2.0"
] | null | null | null | tests/test_models_cast.py | jdolter/django-tagulous | 90c6ee5ac54ef1127f2edcfac10c5ef3ab09e255 | [
"Apache-2.0"
] | null | null | null | """
Test cast_class in tagulous.models.tagged
"""
import inspect
import pickle
from pytest import fixture
from tagulous.models.cast import cast_instance, get_cast_class
from tests.tagulous_tests_app.cast import NewBase, OldBase, Target
EXPECTED_CAST_NAME = "TagulousCastTaggedTarget"
@fixture
def Cast():
# Cr... | 24.415584 | 82 | 0.743085 |
import inspect
import pickle
from pytest import fixture
from tagulous.models.cast import cast_instance, get_cast_class
from tests.tagulous_tests_app.cast import NewBase, OldBase, Target
EXPECTED_CAST_NAME = "TagulousCastTaggedTarget"
@fixture
def Cast():
cls = get_cast_class(Target, NewBase)
yield c... | true | true |
f749ed20f187461a2f5bd335783260c5605e13b8 | 478 | py | Python | student_form/urls.py | study-abacus/admin-site | 045168cae3edcc95a3bb068d7b1ba19a87bf3070 | [
"MIT"
] | 1 | 2020-10-19T09:26:38.000Z | 2020-10-19T09:26:38.000Z | student_form/urls.py | study-abacus/admin-site | 045168cae3edcc95a3bb068d7b1ba19a87bf3070 | [
"MIT"
] | 10 | 2018-10-25T21:06:12.000Z | 2021-06-10T20:57:46.000Z | student_form/urls.py | study-abacus/admin-site | 045168cae3edcc95a3bb068d7b1ba19a87bf3070 | [
"MIT"
] | 1 | 2020-10-19T08:55:16.000Z | 2020-10-19T08:55:16.000Z | from django.urls import include, path
from django.contrib import admin
from django.views.generic import RedirectView
from rest_framework_jwt.views import obtain_jwt_token, refresh_jwt_token
urlpatterns = [
path('admin/', admin.site.urls),
path('api/', include('api.urls')),
path('form/', include('form.urls... | 28.117647 | 72 | 0.723849 | from django.urls import include, path
from django.contrib import admin
from django.views.generic import RedirectView
from rest_framework_jwt.views import obtain_jwt_token, refresh_jwt_token
urlpatterns = [
path('admin/', admin.site.urls),
path('api/', include('api.urls')),
path('form/', include('form.urls... | true | true |
f749edbe7964f57022b5f851137918b5a43577b8 | 998 | py | Python | examples/Translation/ai/tests.py | hungpdn/h1st | 0b733c7b9b194098577920efd048494ed370b2e8 | [
"Apache-2.0"
] | 1 | 2021-12-31T08:51:11.000Z | 2021-12-31T08:51:11.000Z | examples/Translation/ai/tests.py | hungpdn/h1st | 0b733c7b9b194098577920efd048494ed370b2e8 | [
"Apache-2.0"
] | null | null | null | examples/Translation/ai/tests.py | hungpdn/h1st | 0b733c7b9b194098577920efd048494ed370b2e8 | [
"Apache-2.0"
] | null | null | null | from models.google_cloud import GoogleLanguageTranslationModel, HuggingFaceLanguageTranslationModel
from models.en2spa_transformer import En2SpaSeq2SeqTransformer
def test_google_translation():
model = GoogleLanguageTranslationModel()
assert model.predict(text='Hello', target='de') == 'Hallo'
def test_hugging... | 32.193548 | 99 | 0.758517 | from models.google_cloud import GoogleLanguageTranslationModel, HuggingFaceLanguageTranslationModel
from models.en2spa_transformer import En2SpaSeq2SeqTransformer
def test_google_translation():
model = GoogleLanguageTranslationModel()
assert model.predict(text='Hello', target='de') == 'Hallo'
def test_hugging... | true | true |
f749ef6a05c80c1668fbb61b84481f0307a53bd6 | 3,986 | py | Python | apps/sync.py | Ian-HR/smartwatch | ab0dc635a515632e7d932ff60dea5d0f0638f0c9 | [
"MIT"
] | null | null | null | apps/sync.py | Ian-HR/smartwatch | ab0dc635a515632e7d932ff60dea5d0f0638f0c9 | [
"MIT"
] | null | null | null | apps/sync.py | Ian-HR/smartwatch | ab0dc635a515632e7d932ff60dea5d0f0638f0c9 | [
"MIT"
] | null | null | null | def btSync(display, utime, ujson, bluetooth, startNewThread, playBuzzer, loadJSON, saveJSON, showControls, update, clear):
run = True
toDo = loadJSON("to-do.json")
toDoList = list(toDo.keys())
toDoDone = False
shoppingItems = loadJSON("boodschappen.json")
shoppingItemsList = list(shoppingItems.... | 35.589286 | 122 | 0.465881 | def btSync(display, utime, ujson, bluetooth, startNewThread, playBuzzer, loadJSON, saveJSON, showControls, update, clear):
run = True
toDo = loadJSON("to-do.json")
toDoList = list(toDo.keys())
toDoDone = False
shoppingItems = loadJSON("boodschappen.json")
shoppingItemsList = list(shoppingItems.... | true | true |
f749f1835e42d7601a93c572e57297d6999819c9 | 7,770 | py | Python | src/banderplug.py | jruzi24/BanderPlug | ab39ffff586187e4a6ed77b67e0342789e0e4a97 | [
"MIT"
] | null | null | null | src/banderplug.py | jruzi24/BanderPlug | ab39ffff586187e4a6ed77b67e0342789e0e4a97 | [
"MIT"
] | null | null | null | src/banderplug.py | jruzi24/BanderPlug | ab39ffff586187e4a6ed77b67e0342789e0e4a97 | [
"MIT"
] | null | null | null | """
banderplug.py
Author: Jacob Ruzi
This script is intended to be run with an ini formatted configuration file that defines a
'Choose Your Own Adventure' game. See example_game.ini and README.md for guidelines on how to format your
game. See BanderPlug.log in the current directory for error details.
"""
import config... | 39.441624 | 118 | 0.600901 |
import configparser
import logging.config
import re
import argparse
import os.path
logging.config.fileConfig(os.path.join('conf','logging.conf'))
logger = logging.getLogger('banderlog')
class BanderGame:
def __init__(self,gameFile):
self.stage = '0'
self.title = ''
self.__loadS... | true | true |
f749f2a9095679e72f8bdebc813b9f53d4a85fdf | 5,505 | py | Python | pyautomagic/src/rateQuality.py | NeuroDataDesign/pyautomagic | b33f69d99e4ea06e9368fb7a8b1a4e498028b18c | [
"MIT"
] | 6 | 2019-11-04T08:45:08.000Z | 2021-11-27T16:07:23.000Z | pyautomagic/src/rateQuality.py | ragatti/pyautomagic | f03af3f4f0cf859c11d03623d9d2b51f1546b6d7 | [
"MIT"
] | 23 | 2019-09-22T19:42:15.000Z | 2020-02-10T17:33:11.000Z | pyautomagic/src/rateQuality.py | ragatti/pyautomagic | f03af3f4f0cf859c11d03623d9d2b51f1546b6d7 | [
"MIT"
] | 5 | 2019-11-11T10:44:05.000Z | 2020-12-13T02:48:57.000Z | # Copyright 2019 NeuroData (http://neurodata.io)
#
# 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 ag... | 39.891304 | 108 | 0.626703 |
import logging
logging.basicConfig(
format="%(asctime)s : %(levelname)s: %(message)s", level=logging.DEBUG
)
def rateQuality(
quality_metrics: dict,
overall_Good_Cutoff: float = 0.1,
overall_Bad_Cutoff: float = 0.2,
time_Good_Cutoff: float = 0.1,
time_Bad_Cutoff: float = 0.2,... | true | true |
f749f330d39ab30b40cb1fa874fe91d14348e01f | 551 | py | Python | src/django_server/manage.py | guandjoy/redject | ebcf7f25c6ef05af229aebcee0e5ff0728e34c9e | [
"MIT"
] | 43 | 2019-07-14T14:27:49.000Z | 2022-02-03T18:20:14.000Z | src/django_server/manage.py | guandjoy/redject | ebcf7f25c6ef05af229aebcee0e5ff0728e34c9e | [
"MIT"
] | 11 | 2019-12-04T23:43:47.000Z | 2022-02-10T07:56:43.000Z | src/django_server/manage.py | guandjoy/redject | ebcf7f25c6ef05af229aebcee0e5ff0728e34c9e | [
"MIT"
] | 14 | 2019-12-20T13:51:05.000Z | 2022-02-04T17:14:11.000Z | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_server.settings.local')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import ... | 34.4375 | 83 | 0.69147 |
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'django_server.settings.local')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure ... | true | true |
f749f34cd2ac26f46e37fc5e75341047be7ea4f1 | 6,212 | py | Python | netcam_aioeos/topology/eos_check_mlags.py | jeremyschulman/netcam-aioeos | ae8b46bcef1bbd86441342a9a282e404d597d662 | [
"Apache-2.0"
] | null | null | null | netcam_aioeos/topology/eos_check_mlags.py | jeremyschulman/netcam-aioeos | ae8b46bcef1bbd86441342a9a282e404d597d662 | [
"Apache-2.0"
] | null | null | null | netcam_aioeos/topology/eos_check_mlags.py | jeremyschulman/netcam-aioeos | ae8b46bcef1bbd86441342a9a282e404d597d662 | [
"Apache-2.0"
] | 1 | 2022-01-04T19:55:12.000Z | 2022-01-04T19:55:12.000Z | # Copyright 2021 Jeremy Schulman
#
# 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 ... | 33.76087 | 88 | 0.565196 |
from typing import TYPE_CHECKING, AsyncGenerator, Generator
import re
from pydantic import BaseModel
from netcad.topology.checks.check_mlags import (
MLagCheckCollection,
MLagSystemCheckParams,
MLagSystemCheck,
)
from netcad.topology.checks.check_lags import LagCheck
from... | true | true |
f749f5666983a949bd61ead07e2f9aad07514426 | 5,286 | py | Python | python/lookup_tables.py | robertmacdavid/approx-upf | 3f6da80226f94b175afe0c9d463fa38abfd743b9 | [
"Apache-2.0"
] | null | null | null | python/lookup_tables.py | robertmacdavid/approx-upf | 3f6da80226f94b175afe0c9d463fa38abfd743b9 | [
"Apache-2.0"
] | 1 | 2022-03-24T23:47:04.000Z | 2022-03-24T23:47:04.000Z | python/lookup_tables.py | robertmacdavid/approx-upf | 3f6da80226f94b175afe0c9d463fa38abfd743b9 | [
"Apache-2.0"
] | null | null | null | from typing import List, Callable, Dict, Tuple, Union
import math
import matplotlib.pyplot as plt
class ApproxMultiplicationTable:
"""
Multiplication done using a lookup table instead of a math unit
"""
table_entries: Dict[Tuple[int, int], int]
num_significant_bits: int
def __init__(self, nu... | 40.661538 | 111 | 0.622777 | from typing import List, Callable, Dict, Tuple, Union
import math
import matplotlib.pyplot as plt
class ApproxMultiplicationTable:
table_entries: Dict[Tuple[int, int], int]
num_significant_bits: int
def __init__(self, num_significant_bits: int, unbiasing: float = 0.5):
self.num_significant_bits ... | true | true |
f749f6e00729c2cc65ae250e8a020020a8ed5757 | 920 | py | Python | rst2txt/__init__.py | hroncok/rst2txt | 9a497d7e277df9a84bc9a89f3a19a7736ab78ecb | [
"BSD-2-Clause"
] | 2 | 2019-05-15T12:31:37.000Z | 2020-09-09T08:10:17.000Z | rst2txt/__init__.py | hroncok/rst2txt | 9a497d7e277df9a84bc9a89f3a19a7736ab78ecb | [
"BSD-2-Clause"
] | null | null | null | rst2txt/__init__.py | hroncok/rst2txt | 9a497d7e277df9a84bc9a89f3a19a7736ab78ecb | [
"BSD-2-Clause"
] | 1 | 2021-03-31T09:46:33.000Z | 2021-03-31T09:46:33.000Z | # -*- coding: utf-8 -*-
"""
rst2txt.__main__
~~~~~~~~~~~~~~~~
A minimal front end to the Docutils Publisher, producing plain text.
:copyright: Copyright 2018, Stephen Finucane <stephen@that.guru>.
:license: BSD, see LICENSE for details.
"""
import locale
locale.setlocale(locale.LC_ALL, '') # noqa... | 27.058824 | 72 | 0.711957 |
import locale
locale.setlocale(locale.LC_ALL, '')
from docutils.core import default_description
from docutils.core import publish_cmdline
from pkg_resources import DistributionNotFound
from pkg_resources import get_distribution
from rst2txt.writer import Writer
try:
__version__ = get_distribution(__name__).ve... | true | true |
f749f7c83a8388660a3d8472126ca9d789524a23 | 267 | py | Python | tests/artificial/transf_Difference/trend_PolyTrend/cycle_12/ar_12/test_artificial_128_Difference_PolyTrend_12_12_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_PolyTrend/cycle_12/ar_12/test_artificial_128_Difference_PolyTrend_12_12_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_PolyTrend/cycle_12/ar_12/test_artificial_128_Difference_PolyTrend_12_12_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 = 128 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12); | 38.142857 | 167 | 0.734082 | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12); | true | true |
f749f7f15f12cec50986c89ae20a1ca1fd7c2e80 | 2,188 | py | Python | muskit/layers/conformer/convolution.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 74 | 2021-04-15T15:39:32.000Z | 2022-03-23T03:34:25.000Z | muskit/layers/conformer/convolution.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 33 | 2021-04-30T18:24:47.000Z | 2022-03-29T13:27:40.000Z | muskit/layers/conformer/convolution.py | A-Quarter-Mile/Muskits | 60d80727d2ec6b8ec405502d67796e8df319ea82 | [
"Apache-2.0"
] | 24 | 2021-04-15T15:20:32.000Z | 2022-03-19T04:03:25.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Johns Hopkins University (Shinji Watanabe)
# Northwestern Polytechnical University (Pengcheng Guo)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""ConvolutionModule definition."""
from torch import nn
class ConvolutionMod... | 29.173333 | 79 | 0.562614 |
from torch import nn
class ConvolutionModule(nn.Module):
def __init__(self, channels, kernel_size, activation=nn.ReLU(), bias=True):
super(ConvolutionModule, self).__init__()
assert (kernel_size - 1) % 2 == 0
self.pointwise_conv1 = nn.Conv1d(
channels,
... | true | true |
f749f85fe5a0087efafef2dd98f596dc4ec57060 | 8,043 | py | Python | Code/Python/bootcamp_examples.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-12-07T17:38:41.000Z | 2021-06-28T06:19:49.000Z | Code/Python/bootcamp_examples.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-05-28T21:32:24.000Z | 2016-12-08T16:47:09.000Z | Code/Python/bootcamp_examples.py | NYUDataBootcamp/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 50 | 2016-10-12T11:04:50.000Z | 2021-06-01T23:24:45.000Z | """
Examples for Data Bootcamp course (data input and graphics)
**Warning**
Web data access will change in the near future, when Pandas spins
off the web access tools into a new package.
http://pandas.pydata.org/pandas-docs/stable/remote_data.html
Repository of materials (including this file):
* https://github.com/NY... | 29.141304 | 91 | 0.684695 | import pandas as pd
import sys
print('\nPython version:', sys.version)
print('Pandas version: ', pd.__version__)
import pandas as pd
from pandas.io import wb
import matplotlib.pyplot as plt
var = ['NY.GDP.PCAP.PP.KD', 'NY.GDP.MKTP.PP.KD', 'SP.DYN.LE00.IN']
iso = ['USA', 'FRA'... | true | true |
f749f8d00d09a07a09a951938788a41b144605cd | 3,195 | py | Python | tests/test_main.py | mvj3/prints_a_multiplication_table_of_primes_numbers | 571298802f889a1eb4c397ae9bfa4fea0a2a558c | [
"MIT"
] | 1 | 2018-07-11T08:10:45.000Z | 2018-07-11T08:10:45.000Z | tests/test_main.py | mvj3/prints_a_multiplication_table_of_primes_numbers | 571298802f889a1eb4c397ae9bfa4fea0a2a558c | [
"MIT"
] | null | null | null | tests/test_main.py | mvj3/prints_a_multiplication_table_of_primes_numbers | 571298802f889a1eb4c397ae9bfa4fea0a2a558c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, root_dir)
import unittest
class TestMain(unittest.TestCase):
def test_main(self):
# NOTE the blank index of result is a minor different to the requirement.
# If... | 37.151163 | 106 | 0.57277 |
import os
import sys
root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, root_dir)
import unittest
class TestMain(unittest.TestCase):
def test_main(self):
from prints_a_multiplication_table_of_primes_numbers import PrimeTable
co... | true | true |
f749f9585378f9f0aff3ca207b337636ab59ff67 | 1,271 | py | Python | test/test_reservation.py | waitlisted/waitlisted-python | 87c51fd793fe80b61464e4c5c49b81648cc50827 | [
"Apache-2.0"
] | 1 | 2017-03-01T01:31:21.000Z | 2017-03-01T01:31:21.000Z | test/test_reservation.py | waitlisted/waitlisted-python | 87c51fd793fe80b61464e4c5c49b81648cc50827 | [
"Apache-2.0"
] | null | null | null | test/test_reservation.py | waitlisted/waitlisted-python | 87c51fd793fe80b61464e4c5c49b81648cc50827 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Waitlisted API
Waitlisted API
OpenAPI spec version: 2.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obt... | 23.537037 | 76 | 0.704957 |
from __future__ import absolute_import
import os
import sys
import unittest
import waitlisted
from waitlisted.rest import ApiException
from waitlisted.models.reservation import Reservation
class TestReservation(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def ... | true | true |
f749f976bfa4b2085597175053cf8bfbed5d49e6 | 1,000 | py | Python | src/webgui.py | Yobmod/dmlsrim | a2972a5c2f5a7a76f8be31913e04d8a396b4cf02 | [
"MIT"
] | null | null | null | src/webgui.py | Yobmod/dmlsrim | a2972a5c2f5a7a76f8be31913e04d8a396b4cf02 | [
"MIT"
] | 1 | 2020-02-27T12:42:45.000Z | 2020-02-27T12:42:45.000Z | src/webgui.py | Yobmod/dmlsrim | a2972a5c2f5a7a76f8be31913e04d8a396b4cf02 | [
"MIT"
] | null | null | null | from fastapi import FastAPI
from starlette.responses import PlainTextResponse
from starlette.staticfiles import StaticFiles
from typing import Dict, Optional as Opt
from pydantic import BaseModel
from starlette.requests import Request
"""
* Have programme create the srimdata and pickle/sqlite it
* create api points wi... | 22.222222 | 68 | 0.721 | from fastapi import FastAPI
from starlette.responses import PlainTextResponse
from starlette.staticfiles import StaticFiles
from typing import Dict, Optional as Opt
from pydantic import BaseModel
from starlette.requests import Request
class Item(BaseModel):
name: str
description: Opt[str] = None
price: f... | true | true |
f749fa712afcdd310efacae9ae01a693cc8c5588 | 644 | py | Python | examples/Boards/ESP32/Storage/sdcard.py | myhumankit/ESP32_IDE_accessible | 5262a5dd106f3f52a374a6c1ef68ff53d8847001 | [
"MIT"
] | 1 | 2020-07-27T19:32:56.000Z | 2020-07-27T19:32:56.000Z | examples/Boards/ESP32/Storage/sdcard.py | myhumankit/Blind_IDE | 5262a5dd106f3f52a374a6c1ef68ff53d8847001 | [
"MIT"
] | null | null | null | examples/Boards/ESP32/Storage/sdcard.py | myhumankit/Blind_IDE | 5262a5dd106f3f52a374a6c1ef68ff53d8847001 | [
"MIT"
] | null | null | null | #hardware platform:FireBeetle-ESP32
import SD
import os
sd = SD.sdcard() #create sdcard object
os.mount(sd,"/sd") #mount sdcard with specified dir
print(os.listdir("/sd")) #print the filename in '/sd' dir
f=open("sd/HelloWord.txt","w") #open file 'HelloWord.txt' in ... | 107.333333 | 328 | 0.552795 | true | true | |
f749fa8c9748767a6181804edc3a6e6eeaa4cf3d | 745 | py | Python | src/psc_parse/psc_class.py | satamame/psc_parse | 397c54f6151dc8f37bbe0d9d1f9adbc2c5b6ff31 | [
"MIT"
] | null | null | null | src/psc_parse/psc_class.py | satamame/psc_parse | 397c54f6151dc8f37bbe0d9d1f9adbc2c5b6ff31 | [
"MIT"
] | null | null | null | src/psc_parse/psc_class.py | satamame/psc_parse | 397c54f6151dc8f37bbe0d9d1f9adbc2c5b6ff31 | [
"MIT"
] | null | null | null | '''台本の行の種類の定義
'''
from enum import Enum
class PscClass(Enum):
'''台本の行の種類
'''
TITLE = 0 # 題名
AUTHOR = 1 # 著者名
CHARSHEADLINE = 2 # 登場人物見出し
CHARACTER = 3 # 登場人物
H1 = 4 # 柱 (レベル1)
H2 = 5 ... | 27.592593 | 44 | 0.414765 |
from enum import Enum
class PscClass(Enum):
TITLE = 0
AUTHOR = 1
CHARSHEADLINE = 2
CHARACTER = 3
H1 = 4
H2 = 5
H3 = 6
DIRECTION = 7
DIAL... | true | true |
f749fbf254f2e3e2d42c56e525f5f6d542742705 | 2,743 | py | Python | integration-testing/test/cl_node/client_parser.py | srinivasreddy/CasperLabs | bb299b3257d8291ccf713e4a27d62d7d486582f5 | [
"Apache-2.0"
] | 1 | 2019-10-16T06:05:41.000Z | 2019-10-16T06:05:41.000Z | integration-testing/test/cl_node/client_parser.py | srinivasreddy/CasperLabs | bb299b3257d8291ccf713e4a27d62d7d486582f5 | [
"Apache-2.0"
] | null | null | null | integration-testing/test/cl_node/client_parser.py | srinivasreddy/CasperLabs | bb299b3257d8291ccf713e4a27d62d7d486582f5 | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
import re
"""
Parser of the gRPC message dump for human reading as produced by scalapb and printed by the Scala CasperLabs client.
"""
class MaybeList(list):
def __getattr__(self, name):
if len(self) != 1:
raise Exception(
f"Attempt to acces... | 25.398148 | 116 | 0.547211 | from collections import defaultdict
import re
class MaybeList(list):
def __getattr__(self, name):
if len(self) != 1:
raise Exception(
f"Attempt to access attribute '{name}' of a list of length {len(self)}"
)
return getattr(self[0], name)
class PropertyBag... | true | true |
f749fc718e8a9f3c7b9640366d7bd9405ff775a6 | 9,941 | py | Python | tests/ut/python/dataset/test_vocab.py | Vincent34/mindspore | a39a60878a46e7e9cb02db788c0bca478f2fa6e5 | [
"Apache-2.0"
] | 3,200 | 2020-02-17T12:45:41.000Z | 2022-03-31T20:21:16.000Z | tests/ut/python/dataset/test_vocab.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | 176 | 2020-02-12T02:52:11.000Z | 2022-03-28T22:15:55.000Z | tests/ut/python/dataset/test_vocab.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | 621 | 2020-03-09T01:31:41.000Z | 2022-03-30T03:43:19.000Z | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 45.600917 | 120 | 0.626396 |
import numpy as np
import mindspore.dataset as ds
import mindspore.dataset.text as text
import mindspore.common.dtype as mstype
from mindspore import log as logger
DATA_FILE = "../data/dataset/testVocab/words.txt"
VOCAB_FILE = "../data/dataset/testVocab/vocab_list.txt"
SIMPLE_VOCAB_FILE = "../data/dat... | true | true |
f749fcc4887450ff969c5a97e8745992301c6e5b | 4,667 | py | Python | migrations/versions/5181f24c23aa_integrate_accuracy_report_with_auto_annotation.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 23 | 2022-03-17T12:24:09.000Z | 2022-03-31T09:13:30.000Z | migrations/versions/5181f24c23aa_integrate_accuracy_report_with_auto_annotation.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 18 | 2022-03-21T08:17:44.000Z | 2022-03-30T12:42:30.000Z | migrations/versions/5181f24c23aa_integrate_accuracy_report_with_auto_annotation.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 16 | 2022-03-17T12:24:14.000Z | 2022-03-31T12:15:12.000Z | """Integrate accuracy report with auto annotation
Revision ID: 5181f24c23aa
Revises: 810f7e51911d
Create Date: 2021-07-22 19:38:41.741133
"""
"""
OpenVINO DL Workbench
Migration: Integrate accuracy report with auto annotation
Copyright (c) 2021 Intel Corporation
Licensed under the Apache License, Version 2.0 (... | 30.109677 | 117 | 0.723163 |
from contextlib import closing
from typing import List
import sqlalchemy as sa
from alembic import op
from sqlalchemy import orm
from sqlalchemy.ext.declarative import declarative_base
from migrations.utils import SQLEnumMigrator
revision = '5181f24c23aa'
down_revision = '810f7e51911d'
branch_labels = None
depend... | true | true |
f749fcd26fb15720f59ea32d2fdccb80ffdcfa8a | 479 | py | Python | bbpyp/ll_combinator/model/position.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | bbpyp/ll_combinator/model/position.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | bbpyp/ll_combinator/model/position.py | BloggerBust/bbpyp | 078f940dd38bc3ee7c5adcfb2555c2843a4ca57b | [
"Apache-2.0"
] | null | null | null | class Position:
def __init__(self, line, column):
self._line = line
self._column = column
@property
def line(self):
return self._line
@line.setter
def line(self, line):
self._line = line
@property
def column(self):
return self._column
@column.s... | 19.958333 | 67 | 0.588727 | class Position:
def __init__(self, line, column):
self._line = line
self._column = column
@property
def line(self):
return self._line
@line.setter
def line(self, line):
self._line = line
@property
def column(self):
return self._column
@column.s... | true | true |
f749fcdcbd6fc4fbc3232acd080b2b98aa1e6021 | 35 | py | Python | demo_zinnia_markitup/__init__.py | lud0/zinnia-wysiwyg-markitup | 89a208eb42894f1710333f44d720f858190d07d0 | [
"BSD-3-Clause"
] | 1 | 2020-08-06T19:24:34.000Z | 2020-08-06T19:24:34.000Z | demo_zinnia_markitup/__init__.py | lud0/zinnia-wysiwyg-markitup | 89a208eb42894f1710333f44d720f858190d07d0 | [
"BSD-3-Clause"
] | 3 | 2017-03-16T12:00:22.000Z | 2019-07-01T14:32:30.000Z | demo_zinnia_markitup/__init__.py | lud0/zinnia-wysiwyg-markitup | 89a208eb42894f1710333f44d720f858190d07d0 | [
"BSD-3-Clause"
] | 2 | 2018-08-20T06:16:09.000Z | 2018-11-11T09:34:57.000Z | """Demo of Zinnia with MarkItUp"""
| 17.5 | 34 | 0.685714 | true | true | |
f749fd8667a3739e344cd81c4d1c24c5e879c315 | 802 | py | Python | 210201/step_4.py | EvgenDEP1/python-adv | 892fbedbd17f547140c4ebd42527e6ee7bf1eeca | [
"Apache-2.0"
] | null | null | null | 210201/step_4.py | EvgenDEP1/python-adv | 892fbedbd17f547140c4ebd42527e6ee7bf1eeca | [
"Apache-2.0"
] | null | null | null | 210201/step_4.py | EvgenDEP1/python-adv | 892fbedbd17f547140c4ebd42527e6ee7bf1eeca | [
"Apache-2.0"
] | 1 | 2021-05-23T18:05:32.000Z | 2021-05-23T18:05:32.000Z | import re
from sys import getsizeof
import requests
# RE_XLS_FILE = re.compile(r'<a.+</a>')
# RE_XLS_FILE = re.compile(r'href=".+"')
# RE_XLS_FILE = re.compile(r'href="[^"]+\.xls"')
RE_XLS_FILE = re.compile(r'href="([^"]+\.xls)"')
request_url = 'https://kpk.kss45.ru/%D1%83%D1%87%D0%B5%D0%B1%D0%BD%D0%B0%D1%8F-%D1%80%... | 33.416667 | 201 | 0.683292 | import re
from sys import getsizeof
import requests
RE_XLS_FILE = re.compile(r'href="([^"]+\.xls)"')
request_url = 'https://kpk.kss45.ru/%D1%83%D1%87%D0%B5%D0%B1%D0%BD%D0%B0%D1%8F-%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%B0/%D1%80%D0%B0%D1%81%D0%BF%D0%B8%D1%81%D0%B0%D0%BD%D0%B8%D0%B5_%D0%BF%D0%B0%D1%80.html'
response =... | true | true |
f749fdd7f34f0acea1b5a7215ac0519c1b1152be | 1,074 | py | Python | ft/templatetags/ft_tags.py | xurble/FeedThing | 105ce667e7ab245998c030c5bcc7ea42aacce586 | [
"MIT"
] | 1 | 2020-04-26T01:18:38.000Z | 2020-04-26T01:18:38.000Z | ft/templatetags/ft_tags.py | xurble/FeedThing | 105ce667e7ab245998c030c5bcc7ea42aacce586 | [
"MIT"
] | 6 | 2019-05-15T14:48:29.000Z | 2021-05-15T09:31:57.000Z | ft/templatetags/ft_tags.py | xurble/FeedThing | 105ce667e7ab245998c030c5bcc7ea42aacce586 | [
"MIT"
] | 1 | 2020-04-29T07:04:41.000Z | 2020-04-29T07:04:41.000Z | from django import template
from django.utils.safestring import mark_safe
register = template.Library()
@register.filter(name='hoursmins')
def hoursmins(value):
if value == None or value == "":
return ""
s = int(value) * 60
hours, remainder = divmod(s, 3600)
minutes, seconds = di... | 20.653846 | 56 | 0.580074 | from django import template
from django.utils.safestring import mark_safe
register = template.Library()
@register.filter(name='hoursmins')
def hoursmins(value):
if value == None or value == "":
return ""
s = int(value) * 60
hours, remainder = divmod(s, 3600)
minutes, seconds = di... | true | true |
f74a012863462e185f965cafd746b6a0f3843653 | 2,692 | py | Python | portfolio/Python/scrapy/refitmyhome/refithome.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/refitmyhome/refithome.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/refitmyhome/refithome.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | 5 | 2016-03-22T07:40:46.000Z | 2021-05-30T16:12:21.000Z | from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from product_spiders.items import ProductLoader, Product
import re
class refithomeSpider(BaseSpider):
name = "refitmyhome.com"
allowed_domains = ["refitmyhome.com"]
start_urls = ['http://re... | 39.014493 | 132 | 0.539747 | from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
from product_spiders.items import ProductLoader, Product
import re
class refithomeSpider(BaseSpider):
name = "refitmyhome.com"
allowed_domains = ["refitmyhome.com"]
start_urls = ['http://re... | true | true |
f74a015f9ef940f771af11dead920ae503ca8246 | 785 | py | Python | tests/handwritten/h-ed/h-ed-input-tests.py | michaelackermannaiub/py-fortranformat | edc530d5edde41f41939c716da8e1ef01fa8a6fe | [
"MIT"
] | 3 | 2020-06-19T06:32:02.000Z | 2022-02-10T01:10:51.000Z | tests/handwritten/h-ed/h-ed-input-tests.py | michaelackermannaiub/py-fortranformat | edc530d5edde41f41939c716da8e1ef01fa8a6fe | [
"MIT"
] | 3 | 2019-09-16T11:07:34.000Z | 2021-07-11T10:59:44.000Z | tests/misc/h-ed-input-tests.py | simright/py-fortranformat-old | 8bdc8bbc9c78cbbe6ceb0ed7db211efb5d392177 | [
"MIT"
] | 3 | 2019-09-18T07:42:53.000Z | 2021-12-19T17:46:12.000Z | import unittest
import os
import sys
from fortranformat._input import input as _input
from fortranformat._lexer import lexer as _lexer
from fortranformat._parser import parser as _parser
from fortranformat._exceptions import InvalidFormat
import fortranformat.config as config
class HEditDescriptorTests(unit... | 27.068966 | 69 | 0.673885 | import unittest
import os
import sys
from fortranformat._input import input as _input
from fortranformat._lexer import lexer as _lexer
from fortranformat._parser import parser as _parser
from fortranformat._exceptions import InvalidFormat
import fortranformat.config as config
class HEditDescriptorTests(unit... | true | true |
f74a01729c7a3130b5907a14d64ca4f8ff1620ba | 7,066 | py | Python | airflow/utils/helpers.py | rliuamzn/airflow | 177dfbd12a42a5c229640c6c830f43f280ea5caa | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 2 | 2021-07-30T16:52:00.000Z | 2021-08-03T13:52:01.000Z | airflow/utils/helpers.py | rliuamzn/airflow | 177dfbd12a42a5c229640c6c830f43f280ea5caa | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 36 | 2021-11-26T00:08:49.000Z | 2021-11-26T00:09:33.000Z | airflow/utils/helpers.py | rliuamzn/airflow | 177dfbd12a42a5c229640c6c830f43f280ea5caa | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 3 | 2020-06-30T02:38:17.000Z | 2022-01-19T06:14:08.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 32.26484 | 108 | 0.675913 |
import re
import warnings
from datetime import datetime
from functools import reduce
from itertools import filterfalse, tee
from typing import Any, Callable, Dict, Generator, Iterable, List, Optional, TypeVar
from urllib import parse
from flask import url_for
from jinja2 import Template
from airflow... | true | true |
f74a018d8f275b4d2c29a556b8436ea23679ac7e | 4,868 | py | Python | python3-virtualenv/lib/python3.8/site-packages/setuptools/glob.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | python3-virtualenv/lib/python3.8/site-packages/setuptools/glob.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | python3-virtualenv/lib/python3.8/site-packages/setuptools/glob.py | bbalkaransingh23888/OrientationHack | 7eae6cce1226112c000ea8a175f6dc5a82ee0ac2 | [
"MIT"
] | null | null | null | """
Filename globbing utility. Mostly a copy of `glob` from Python 3.5.
Changes include:
* `yield from` and PEP3102 `*` removed.
* Hidden files are not ignored.
"""
import os
import re
import fnmatch
__all__ = ["glob", "iglob", "escape"]
def glob(pathname, recursive=False):
"""Return a list of paths matching... | 29.149701 | 78 | 0.648726 |
import os
import re
import fnmatch
__all__ = ["glob", "iglob", "escape"]
def glob(pathname, recursive=False):
return list(iglob(pathname, recursive=recursive))
def iglob(pathname, recursive=False):
it = _iglob(pathname, recursive)
if recursive and _isrecursive(pathname):
s = next(it)
... | true | true |
f74a02e3cafb36a65a38578239fdd869e936a956 | 2,868 | py | Python | src/option_select_impl.py | kngwyu/infomax-option-critic | 9d907c041c1d0280db9b23eb2fdf9e0033e33bf3 | [
"Apache-2.0"
] | 2 | 2021-01-24T05:29:18.000Z | 2021-09-19T09:27:49.000Z | src/option_select_impl.py | kngwyu/infomax-option-critic | 9d907c041c1d0280db9b23eb2fdf9e0033e33bf3 | [
"Apache-2.0"
] | null | null | null | src/option_select_impl.py | kngwyu/infomax-option-critic | 9d907c041c1d0280db9b23eb2fdf9e0033e33bf3 | [
"Apache-2.0"
] | null | null | null | """ Implemenation of uncertainty-aware option selection
"""
from abc import ABC, abstractmethod
from typing import Tuple
import torch
from torch import BoolTensor, LongTensor, Tensor
from torch.distributions import Categorical
from rainy.net.policy import BernoulliPolicy
def _debug_minmax(name: str, t: Tensor) -... | 36.769231 | 86 | 0.663529 |
from abc import ABC, abstractmethod
from typing import Tuple
import torch
from torch import BoolTensor, LongTensor, Tensor
from torch.distributions import Categorical
from rainy.net.policy import BernoulliPolicy
def _debug_minmax(name: str, t: Tensor) -> None:
print(f"{name}: {t.max().item()}, {t.min().item(... | true | true |
f74a0463456c097a39b520a2ecacfccc4d2e929e | 1,772 | py | Python | controllers/test/TestController.py | muhammetbolat/pythondataintegrator | 5b274db8d39ca1340d535a500f04f6e734f1d54d | [
"MIT"
] | null | null | null | controllers/test/TestController.py | muhammetbolat/pythondataintegrator | 5b274db8d39ca1340d535a500f04f6e734f1d54d | [
"MIT"
] | null | null | null | controllers/test/TestController.py | muhammetbolat/pythondataintegrator | 5b274db8d39ca1340d535a500f04f6e734f1d54d | [
"MIT"
] | null | null | null | from flask import request
from injector import inject
from controllers.common.models.CommonModels import CommonModels
from controllers.test.models.TestModels import TestModels
from infrastructor.IocManager import IocManager
from infrastructor.api.ResourceBase import ResourceBase
@TestModels.ns.route('/path/<int:value... | 38.521739 | 83 | 0.707675 | from flask import request
from injector import inject
from controllers.common.models.CommonModels import CommonModels
from controllers.test.models.TestModels import TestModels
from infrastructor.IocManager import IocManager
from infrastructor.api.ResourceBase import ResourceBase
@TestModels.ns.route('/path/<int:value... | true | true |
f74a047d44677e676e34b68720da44946d1a04bb | 5,560 | py | Python | spark3/main.py | tellery/blockchain-spark | f45962f6837c6c7736b881a65c1b7f2a4eee627a | [
"MIT"
] | 15 | 2022-03-11T02:54:22.000Z | 2022-03-21T20:28:16.000Z | spark3/main.py | datawaves-xyz/blockchain-spark | f45962f6837c6c7736b881a65c1b7f2a4eee627a | [
"MIT"
] | 3 | 2022-03-14T03:09:48.000Z | 2022-03-24T04:18:55.000Z | spark3/main.py | datawaves-xyz/blockchain-spark | f45962f6837c6c7736b881a65c1b7f2a4eee627a | [
"MIT"
] | null | null | null | from typing import Optional
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.functions import lit, col, expr, unhex
from pyspark.sql.types import StructType
from spark3.ethereum.condition import Conditions
from spark3.ethereum.contract import Contract
from spark3.providers import IContractABIProvider,... | 40.882353 | 125 | 0.642986 | from typing import Optional
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.functions import lit, col, expr, unhex
from pyspark.sql.types import StructType
from spark3.ethereum.condition import Conditions
from spark3.ethereum.contract import Contract
from spark3.providers import IContractABIProvider,... | true | true |
f74a04d2de41b48ca5d10b6c657d3704f13b150f | 4,870 | py | Python | kubernetes/client/models/v1beta1_token_review_status.py | craigtracey/python | 177564c655c0ea3f9cf38e61ca275ef6c6256aab | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1beta1_token_review_status.py | craigtracey/python | 177564c655c0ea3f9cf38e61ca275ef6c6256aab | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1beta1_token_review_status.py | craigtracey/python | 177564c655c0ea3f9cf38e61ca275ef6c6256aab | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.9.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
... | 26.612022 | 105 | 0.576386 |
from pprint import pformat
from six import iteritems
import re
class V1beta1TokenReviewStatus(object):
swagger_types = {
'authenticated': 'bool',
'error': 'str',
'user': 'V1beta1UserInfo'
}
attribute_map = {
'authenticated': 'authenticated',
'error': 'error',... | true | true |
f74a05c031a2244eba4525214335a1a700a1900b | 4,919 | py | Python | Classical/Bandit Problem/k-armed-bandit_non_stationary.py | nathanielbunch/Nonstationary-Bandit-Problem-on-a-Quantum-Computer | af9d4f508a42790249007d5237a2c0ee8b93e30a | [
"MIT"
] | null | null | null | Classical/Bandit Problem/k-armed-bandit_non_stationary.py | nathanielbunch/Nonstationary-Bandit-Problem-on-a-Quantum-Computer | af9d4f508a42790249007d5237a2c0ee8b93e30a | [
"MIT"
] | null | null | null | Classical/Bandit Problem/k-armed-bandit_non_stationary.py | nathanielbunch/Nonstationary-Bandit-Problem-on-a-Quantum-Computer | af9d4f508a42790249007d5237a2c0ee8b93e30a | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import random
import sys
class KBanditProblem:
def __init__(self, k, stationary=True):
self.k = k
self.stationary = stationary
self.values = np.random.normal(loc=0.0, scale=1, size=k)
self.optimal = self.values.argmax() # this ... | 43.530973 | 128 | 0.595243 | import numpy as np
import matplotlib.pyplot as plt
import random
import sys
class KBanditProblem:
def __init__(self, k, stationary=True):
self.k = k
self.stationary = stationary
self.values = np.random.normal(loc=0.0, scale=1, size=k)
self.optimal = self.values.argmax()
... | true | true |
f74a0669a8ae7cc02ebfb7934c9462b45a90aee8 | 3,999 | py | Python | applications/tensorflow/cnns/models/resnet.py | Alwaysproblem/examples-1 | 9754fa63ed1931489a21ac1f5b299f945e369a5c | [
"MIT"
] | null | null | null | applications/tensorflow/cnns/models/resnet.py | Alwaysproblem/examples-1 | 9754fa63ed1931489a21ac1f5b299f945e369a5c | [
"MIT"
] | null | null | null | applications/tensorflow/cnns/models/resnet.py | Alwaysproblem/examples-1 | 9754fa63ed1931489a21ac1f5b299f945e369a5c | [
"MIT"
] | null | null | null | # Copyright (c) 2019 Graphcore Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 39.205882 | 101 | 0.596649 |
from models.resnet_base import ResNet
import tensorflow.compat.v1 as tf
import tensorflow.contrib as contrib
from tensorflow.python.ipu import normalization_ops
class TensorflowResNet(ResNet):
def __init__(self, *args, **kwargs):
self.dtype = tf.float16
super(TensorflowResNet, sel... | true | true |
f74a06a8dd047f8bf4b5b065525b3ff4e303033e | 20,895 | py | Python | sdk/python/pulumi_google_native/cloudresourcemanager/v2/folder_iam_policy.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 44 | 2021-04-18T23:00:48.000Z | 2022-02-14T17:43:15.000Z | sdk/python/pulumi_google_native/cloudresourcemanager/v2/folder_iam_policy.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 354 | 2021-04-16T16:48:39.000Z | 2022-03-31T17:16:39.000Z | sdk/python/pulumi_google_native/cloudresourcemanager/v2/folder_iam_policy.py | AaronFriel/pulumi-google-native | 75d1cda425e33d4610348972cd70bddf35f1770d | [
"Apache-2.0"
] | 8 | 2021-04-24T17:46:51.000Z | 2022-01-05T10:40:21.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 82.916667 | 1,118 | 0.710983 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
from ._inputs import *
__all__ = ['FolderIamPolicyArgs', 'FolderIamPolicy']
@pulumi.input_type
class FolderIamPolicyArgs:
... | true | true |
f74a074bbe63ac9865e039f54cf1e8cab3493a78 | 2,245 | py | Python | tests/util/test_color.py | davidedmundson/home-assistant | cd02563552ffc28239fa17c79a5d9bc0013bd5ac | [
"MIT"
] | null | null | null | tests/util/test_color.py | davidedmundson/home-assistant | cd02563552ffc28239fa17c79a5d9bc0013bd5ac | [
"MIT"
] | null | null | null | tests/util/test_color.py | davidedmundson/home-assistant | cd02563552ffc28239fa17c79a5d9bc0013bd5ac | [
"MIT"
] | 1 | 2018-11-20T17:44:08.000Z | 2018-11-20T17:44:08.000Z | """Tests Home Assistant color util methods."""
import unittest
import homeassistant.util.color as color_util
class TestColorUtil(unittest.TestCase):
"""Test color util methods."""
# pylint: disable=invalid-name
def test_color_RGB_to_xy(self):
"""Test color_RGB_to_xy."""
self.assertEqual((... | 37.416667 | 78 | 0.588419 | import unittest
import homeassistant.util.color as color_util
class TestColorUtil(unittest.TestCase):
def test_color_RGB_to_xy(self):
self.assertEqual((0, 0), color_util.color_RGB_to_xy(0, 0, 0))
self.assertEqual((0.3127159072215825, 0.3290014805066623),
color_util.c... | true | true |
f74a077635c4c66e783d49ad840f77d4bc298dd3 | 1,327 | py | Python | utils/auth_timing.py | Emiliano978/twarc | 36c225228522e7c67de003638c74ecf4878f3a12 | [
"MIT"
] | 1,011 | 2016-10-30T00:04:17.000Z | 2022-03-31T20:55:03.000Z | utils/auth_timing.py | johnchristotle/twarc | eb0ced88ef33a48d2f2be0b3c7a015bb760b8f84 | [
"MIT"
] | 455 | 2016-11-10T16:33:13.000Z | 2022-03-30T18:35:30.000Z | utils/auth_timing.py | johnchristotle/twarc | eb0ced88ef33a48d2f2be0b3c7a015bb760b8f84 | [
"MIT"
] | 222 | 2016-10-28T12:55:29.000Z | 2022-03-28T06:13:29.000Z | #!/usr/bin/env python3
"""
Twitter's rate limits allow App Auth contexts to search at 450 requests
every 15 minutes, and User Auth contexts at 180 requests per 15 minutes.
This script exercises both contexts and counts how tweets it is able to
receive. We should see a significant number more tweets coming back for A... | 26.019608 | 79 | 0.691786 |
import logging
from twarc import Twarc
from datetime import datetime
from datetime import timedelta
logging.basicConfig(
filename="time_test.log",
level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s",
)
def count_tweets(app_auth):
count = 0
t = Twarc(app_auth=app_auth)
start ... | true | true |
f74a09d152ade455f126d6744e95433f7ca363c0 | 6,021 | py | Python | src/app_a.py | filangel/Eigenfaces | 55ddb705611ee351cc856d5a927a4dc82acaff03 | [
"MIT"
] | null | null | null | src/app_a.py | filangel/Eigenfaces | 55ddb705611ee351cc856d5a927a4dc82acaff03 | [
"MIT"
] | null | null | null | src/app_a.py | filangel/Eigenfaces | 55ddb705611ee351cc856d5a927a4dc82acaff03 | [
"MIT"
] | 2 | 2018-10-23T11:44:43.000Z | 2020-12-01T21:08:19.000Z | # matplotlib backtest for missing $DISPLAY
import matplotlib
matplotlib.use('Agg')
# scientific computing library
import numpy as np
# visualization tools
import matplotlib.pyplot as plt
import seaborn as sns
# prettify plots
plt.rcParams['figure.figsize'] = [8.0, 6.0]
sns.set_palette(sns.color_palette("muted"))
sns... | 30.876923 | 115 | 0.627304 |
import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
plt.rcParams['figure.figsize'] = [8.0, 6.0]
sns.set_palette(sns.color_palette("muted"))
sns.set_style("ticks")
sns_b, sns_g, sns_r, sns_v, sns_y, sns_l = sns.color_palette("muted")
from reader impo... | true | true |
f74a0a3849831139be52a661a1a480bad8edfa8b | 863 | py | Python | api/models/nutrition.py | syth0le/async_cookeat | 0cecdd44c064be6fe19c0d0ae8342d7baf5a9bb8 | [
"CC0-1.0"
] | null | null | null | api/models/nutrition.py | syth0le/async_cookeat | 0cecdd44c064be6fe19c0d0ae8342d7baf5a9bb8 | [
"CC0-1.0"
] | null | null | null | api/models/nutrition.py | syth0le/async_cookeat | 0cecdd44c064be6fe19c0d0ae8342d7baf5a9bb8 | [
"CC0-1.0"
] | null | null | null | from sqlalchemy import Column, Integer, String, Enum as PgEnum, Float
from enum import Enum
from sqlalchemy.orm import relationship
from api.utils.db_init import Base
class Influence(Enum):
bad = "bad"
neutral = "neutral"
good = "good"
class Nutrition(Base):
__tablename__ = 'nutrition'
id = Co... | 30.821429 | 102 | 0.7219 | from sqlalchemy import Column, Integer, String, Enum as PgEnum, Float
from enum import Enum
from sqlalchemy.orm import relationship
from api.utils.db_init import Base
class Influence(Enum):
bad = "bad"
neutral = "neutral"
good = "good"
class Nutrition(Base):
__tablename__ = 'nutrition'
id = Co... | true | true |
f74a0d6a0a907d2bf62d5a78c007ae3b4215c12c | 7,569 | py | Python | vk_bot_ver.2/vk_bot.py | ehremut/v_bot | d8767136bd44eda5844a47a4ce0e848e40f10f87 | [
"MIT"
] | 5 | 2020-04-19T20:12:49.000Z | 2022-02-10T18:39:29.000Z | vk_bot_ver.2/vk_bot.py | ehremut/v_bot | d8767136bd44eda5844a47a4ce0e848e40f10f87 | [
"MIT"
] | null | null | null | vk_bot_ver.2/vk_bot.py | ehremut/v_bot | d8767136bd44eda5844a47a4ce0e848e40f10f87 | [
"MIT"
] | null | null | null | from pymongo import MongoClient
import random
from datetime import datetime
random.seed(datetime.now())
class VkBot():
def __init__(self, user_id):
print("Создан объект бота!")
self.user_id = user_id
self.send = {'lang': '', 'level': '', 'format': '', 'discus': ''}
self.steps = {1... | 50.798658 | 116 | 0.493328 | from pymongo import MongoClient
import random
from datetime import datetime
random.seed(datetime.now())
class VkBot():
def __init__(self, user_id):
print("Создан объект бота!")
self.user_id = user_id
self.send = {'lang': '', 'level': '', 'format': '', 'discus': ''}
self.steps = {1... | true | true |
f74a0d882ba7ef9d6877e0270ea00e81a108dd44 | 2,665 | py | Python | maximum_gradient.py | kstepani/GEOG5990MAssessment2 | d584c2edfab63af9b2ae7644e046ee0611a405ff | [
"MIT"
] | null | null | null | maximum_gradient.py | kstepani/GEOG5990MAssessment2 | d584c2edfab63af9b2ae7644e046ee0611a405ff | [
"MIT"
] | null | null | null | maximum_gradient.py | kstepani/GEOG5990MAssessment2 | d584c2edfab63af9b2ae7644e046ee0611a405ff | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This is a program reading a raster dataset of the heights of a hilly area. It then calculates the maximum slope in all the
raster cells using the "D8" algorithm and displays the heights as well as the maximum gradients as images. It finally creates an
output txt file containing the calculat... | 29.611111 | 151 | 0.720826 |
import matplotlib.pyplot
import maxgradientframework
print("Step 1:Pull in the heights from a txt file")
with open("snow.slope.txt") as f:
heights = []
for line in f:
parsed_line = str.split(line," ")
heights_line = []
for word in parsed_line:
heights_line.append(int(wor... | true | true |
f74a0e68e1d1745031c3bd19a6a4b5b54365ce8a | 153 | py | Python | Sets/set.symmetric_difference()_operation.py | aydinsimsek/HackerRank-solutions-python | ef4169fb9d1e4f0bf5de46bd09418e6aedfa6134 | [
"MIT"
] | null | null | null | Sets/set.symmetric_difference()_operation.py | aydinsimsek/HackerRank-solutions-python | ef4169fb9d1e4f0bf5de46bd09418e6aedfa6134 | [
"MIT"
] | null | null | null | Sets/set.symmetric_difference()_operation.py | aydinsimsek/HackerRank-solutions-python | ef4169fb9d1e4f0bf5de46bd09418e6aedfa6134 | [
"MIT"
] | null | null | null | n = int(input())
en = set(map(int, input().split()))
b = int(input())
fr = set(map(int, input().split()))
print(len(en.symmetric_difference(fr)))
| 25.5 | 41 | 0.601307 | n = int(input())
en = set(map(int, input().split()))
b = int(input())
fr = set(map(int, input().split()))
print(len(en.symmetric_difference(fr)))
| true | true |
f74a0ec1f8257a2657020beaafd803597793b931 | 95 | py | Python | etl_day_ahead_forecasting/utils/__init__.py | KamilMaziarz/etl-day-ahead-forecasting | e709336c2bc381b9909076fcc9d4dd6e81a74b72 | [
"MIT"
] | null | null | null | etl_day_ahead_forecasting/utils/__init__.py | KamilMaziarz/etl-day-ahead-forecasting | e709336c2bc381b9909076fcc9d4dd6e81a74b72 | [
"MIT"
] | null | null | null | etl_day_ahead_forecasting/utils/__init__.py | KamilMaziarz/etl-day-ahead-forecasting | e709336c2bc381b9909076fcc9d4dd6e81a74b72 | [
"MIT"
] | null | null | null | from .paths import get_backup_path, get_resources_path
from .logging import initialize_logging
| 31.666667 | 54 | 0.873684 | from .paths import get_backup_path, get_resources_path
from .logging import initialize_logging
| true | true |
f74a0f2cb1ff03af612ec568ffe69a9ba706938c | 17,382 | py | Python | tfmiss/text/wordpiecelib.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 1 | 2019-06-25T15:58:20.000Z | 2019-06-25T15:58:20.000Z | tfmiss/text/wordpiecelib.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 1 | 2021-11-11T12:56:51.000Z | 2021-11-11T12:56:51.000Z | tfmiss/text/wordpiecelib.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 2 | 2020-02-11T15:46:58.000Z | 2021-11-21T02:47:36.000Z | # Taken from https://raw.githubusercontent.com/tensorflow/text/v2.5.0/tensorflow_text/tools/wordpiece_vocab/wordpiece_tokenizer_learner_lib.py
#
# coding=utf-8
# Copyright 2021 TF.Text Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the ... | 36.982979 | 142 | 0.649005 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import numpy as np
from typing import List, Optional
Params = collections.namedtuple('Params', [
'upper_thresh', 'lower_thresh', 'num_iterations', 'max_input_tokens',
... | true | true |
f74a101b85304fe79f2443aea2d4b253b2c3fa0f | 396 | py | Python | todoapp/venv/Scripts/pip-script.py | youngkhalid/todo-App | 5785145535ef1370ec43f67f63c50a00edb44897 | [
"MIT"
] | null | null | null | todoapp/venv/Scripts/pip-script.py | youngkhalid/todo-App | 5785145535ef1370ec43f67f63c50a00edb44897 | [
"MIT"
] | null | null | null | todoapp/venv/Scripts/pip-script.py | youngkhalid/todo-App | 5785145535ef1370ec43f67f63c50a00edb44897 | [
"MIT"
] | null | null | null | #!C:\Users\Public\todoapp\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit... | 30.461538 | 69 | 0.659091 |
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('pip==10.0.1', 'console_scripts', 'pip')()
)
| true | true |
f74a1196d8892e06f484fd3396b545e33f3cb845 | 10,719 | py | Python | src/test/balance/examples/pgu/gui/slider.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 8 | 2017-11-19T01:42:59.000Z | 2021-02-08T09:18:58.000Z | src/test/balance/examples/pgu/gui/slider.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 24 | 2017-02-14T16:50:02.000Z | 2017-06-07T18:38:20.000Z | src/test/balance/examples/pgu/gui/slider.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 6 | 2017-05-17T03:07:05.000Z | 2019-11-14T09:33:06.000Z | import pygame
from pygame.locals import *
from .const import *
from . import widget
from . import table
from . import basic
from . import pguglobals
_SLIDER_HORIZONTAL = 0
_SLIDER_VERTICAL = 1
class _slider(widget.Widget):
_value = None
def __init__(self,value,orient,min,max,size,step=1,**params):
p... | 32.383686 | 101 | 0.56759 | import pygame
from pygame.locals import *
from .const import *
from . import widget
from . import table
from . import basic
from . import pguglobals
_SLIDER_HORIZONTAL = 0
_SLIDER_VERTICAL = 1
class _slider(widget.Widget):
_value = None
def __init__(self,value,orient,min,max,size,step=1,**params):
p... | true | true |
f74a12282827d1a5716fa0134e987fab7c711448 | 1,279 | py | Python | nipype/interfaces/afni/tests/test_auto_TCat.py | mfalkiewicz/nipype | 775e21b78fb1ffa2ff9cb12e6f052868bd44d052 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/afni/tests/test_auto_TCat.py | mfalkiewicz/nipype | 775e21b78fb1ffa2ff9cb12e6f052868bd44d052 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/afni/tests/test_auto_TCat.py | mfalkiewicz/nipype | 775e21b78fb1ffa2ff9cb12e6f052868bd44d052 | [
"Apache-2.0"
] | null | null | null | # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..utils import TCat
def test_TCat_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(deprecated='1.0.0',
nohash=True,
... | 24.132075 | 67 | 0.625489 |
from __future__ import unicode_literals
from ..utils import TCat
def test_TCat_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(deprecated='1.0.0',
nohash=True,
usedefault=True,
),
in_files=dict(argstr=' %... | true | true |
f74a123e35581b97a2396e4b92e77585eeb2435f | 15,061 | py | Python | tests/ignitor/web/restapi_test.py | samuelbaizg/ssguan | 97def0609d61e40472554464470758b5fb9eca35 | [
"Apache-2.0"
] | 1 | 2015-07-14T14:24:05.000Z | 2015-07-14T14:24:05.000Z | tests/ignitor/web/restapi_test.py | samuelbaizg/ssguan | 97def0609d61e40472554464470758b5fb9eca35 | [
"Apache-2.0"
] | null | null | null | tests/ignitor/web/restapi_test.py | samuelbaizg/ssguan | 97def0609d61e40472554464470758b5fb9eca35 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2015 www.suishouguan.com
#
# Licensed under the Private License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://github.com/samuelbaizg/ssguan/blob/master/LICENSE
#
# Unless ... | 48.899351 | 169 | 0.600159 |
from ssguan.ignitor.auth import service as auth_service
from ssguan.ignitor.auth.model import Role
from ssguan.ignitor.orm import properti
from ssguan.ignitor.orm.model import Model
from ssguan.ignitor.utility import crypt, kind
from ssguan.ignitor.web import config as web_config
from ssguan.ig... | true | true |
f74a12cae48af49fe5240e959e3f01660e1a6f54 | 2,296 | py | Python | alphapose/utils/registry.py | ericwang0701/AlphaPose | 1f17dbf4b41ad7452430b69f72d58a0585ed09af | [
"Apache-2.0"
] | 287 | 2020-11-30T12:45:20.000Z | 2022-03-31T16:03:45.000Z | alphapose/utils/registry.py | ericwang0701/AlphaPose | 1f17dbf4b41ad7452430b69f72d58a0585ed09af | [
"Apache-2.0"
] | 62 | 2021-01-08T02:06:47.000Z | 2022-03-15T11:55:58.000Z | alphapose/utils/registry.py | ericwang0701/AlphaPose | 1f17dbf4b41ad7452430b69f72d58a0585ed09af | [
"Apache-2.0"
] | 30 | 2021-03-04T07:18:03.000Z | 2022-03-09T06:06:28.000Z | import inspect
class Registry(object):
def __init__(self, name):
self._name = name
self._module_dict = dict()
def __repr__(self):
format_str = self.__class__.__name__ + '(name={}, items={})'.format(
self._name, list(self._module_dict.keys()))
return format_str
... | 30.210526 | 78 | 0.616725 | import inspect
class Registry(object):
def __init__(self, name):
self._name = name
self._module_dict = dict()
def __repr__(self):
format_str = self.__class__.__name__ + '(name={}, items={})'.format(
self._name, list(self._module_dict.keys()))
return format_str
... | true | true |
f74a149298a245a15bae235ff4aa51a6415f7270 | 1,543 | py | Python | tools/jsrun.py | apportable/emscripten | 6960d2296299e96d43e694806f5d35799ef8d39c | [
"MIT"
] | 2 | 2015-06-26T22:32:16.000Z | 2020-01-14T13:30:18.000Z | tools/jsrun.py | sunfishcode/emscripten | 53af8ab2ebc91488d53e27dd69f7c8b8901cbda5 | [
"MIT"
] | null | null | null | tools/jsrun.py | sunfishcode/emscripten | 53af8ab2ebc91488d53e27dd69f7c8b8901cbda5 | [
"MIT"
] | 1 | 2018-11-17T14:39:42.000Z | 2018-11-17T14:39:42.000Z | import time, os, sys, logging
from subprocess import Popen, PIPE, STDOUT
TRACK_PROCESS_SPAWNS = True if (os.getenv('EM_BUILD_VERBOSE') and int(os.getenv('EM_BUILD_VERBOSE')) >= 3) else False
def timeout_run(proc, timeout=None, note='unnamed process', full_output=False):
start = time.time()
if timeout is not None:... | 40.605263 | 156 | 0.661698 | import time, os, sys, logging
from subprocess import Popen, PIPE, STDOUT
TRACK_PROCESS_SPAWNS = True if (os.getenv('EM_BUILD_VERBOSE') and int(os.getenv('EM_BUILD_VERBOSE')) >= 3) else False
def timeout_run(proc, timeout=None, note='unnamed process', full_output=False):
start = time.time()
if timeout is not None:... | true | true |
f74a1534fb3eab5465f95d8cc3598525f9f3fa0d | 1,333 | py | Python | configs/_base_/models/deeplabv3plus_r50-d8.py | sandylaker/mmsegmentation | 1c96a89472804a1e7d4c4cbe8cd980617345d6c9 | [
"Apache-2.0"
] | 789 | 2020-12-30T10:20:37.000Z | 2022-03-30T15:09:13.000Z | configs/_base_/models/deeplabv3plus_r50-d8.py | JPLAY0/mmsegmentation | b46bbfdeed127b1cab325f707c090014f9333c11 | [
"Apache-2.0"
] | 51 | 2021-01-01T11:21:13.000Z | 2022-03-31T01:16:26.000Z | configs/_base_/models/deeplabv3plus_r50-d8.py | JPLAY0/mmsegmentation | b46bbfdeed127b1cab325f707c090014f9333c11 | [
"Apache-2.0"
] | 119 | 2021-01-02T14:27:41.000Z | 2022-03-30T06:07:29.000Z | # model settings
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='EncoderDecoder',
pretrained='open-mmlab://resnet50_v1c',
backbone=dict(
type='ResNetV1c',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
dilations=(1, 1, 2, 4),
strides=... | 28.361702 | 74 | 0.591898 |
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='EncoderDecoder',
pretrained='open-mmlab://resnet50_v1c',
backbone=dict(
type='ResNetV1c',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
dilations=(1, 1, 2, 4),
strides=(1, 2, 1, 1),
... | true | true |
f74a16c910af94f26937f69a728a16e98e9bf5d1 | 2,826 | py | Python | pysb/export/pysb_flat.py | FFroehlich/pysb | 8595a4d878181b9bbf11124e008eab7cd78cf7ae | [
"BSD-2-Clause"
] | 1 | 2019-10-23T16:29:29.000Z | 2019-10-23T16:29:29.000Z | pysb/export/pysb_flat.py | zhwycsz/pysb | d1afd8bed83cc09476ea871ffcc106b18498dc7f | [
"BSD-2-Clause"
] | null | null | null | pysb/export/pysb_flat.py | zhwycsz/pysb | d1afd8bed83cc09476ea871ffcc106b18498dc7f | [
"BSD-2-Clause"
] | null | null | null | """
A module containing a class that exports a PySB model to a single Python source
file that, when imported, will recreate the same model. This is intended for
saving a dynamically generated model so that it can be reused without re-running
the dynamic generation process. Note that any macro calls and other program
st... | 33.642857 | 80 | 0.642604 |
import pysb
from pysb.export import Exporter
try:
from cStringIO import StringIO
except ImportError:
from io import StringIO
class PysbFlatExporter(Exporter):
def export(self):
output = StringIO()
def write_cset(cset):
for c in cset:
output.write(rep... | true | true |
f74a182c1a9fdce2a57fc5920f4802f00a4cb4b3 | 361 | py | Python | new 2.py | yadavaman377/psychic-train | cd1faff07db07cf2682dbbc8ca0b1135448c8ff4 | [
"Apache-2.0"
] | null | null | null | new 2.py | yadavaman377/psychic-train | cd1faff07db07cf2682dbbc8ca0b1135448c8ff4 | [
"Apache-2.0"
] | null | null | null | new 2.py | yadavaman377/psychic-train | cd1faff07db07cf2682dbbc8ca0b1135448c8ff4 | [
"Apache-2.0"
] | null | null | null | def maximum_consecutive(lst, n):
count = 0
result = 0
for i in range(0, n):
if (lst[i] == 0):
count = 0
else:
count+= 1
result = max(result, count)
return result
lst=[0,0,0,1,1,1,0,0,0,1,1,0,1,1,1,1,0,0,1,1]
n=len(lst... | 20.055556 | 48 | 0.457064 | def maximum_consecutive(lst, n):
count = 0
result = 0
for i in range(0, n):
if (lst[i] == 0):
count = 0
else:
count+= 1
result = max(result, count)
return result
lst=[0,0,0,1,1,1,0,0,0,1,1,0,1,1,1,1,0,0,1,1]
n=len(lst... | true | true |
f74a1971c7c1c841c0e5e093e9c0b62a0578e932 | 446 | py | Python | orders/admin.py | gabrieldatascience/DjangoEcomerce | e21668cb4a96613c218a854770cb61bf30390a0f | [
"Apache-2.0"
] | null | null | null | orders/admin.py | gabrieldatascience/DjangoEcomerce | e21668cb4a96613c218a854770cb61bf30390a0f | [
"Apache-2.0"
] | null | null | null | orders/admin.py | gabrieldatascience/DjangoEcomerce | e21668cb4a96613c218a854770cb61bf30390a0f | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import Order, OrderItem
class OrderItemInline(admin.TabularInline):
model = OrderItem
raw_id_fields = ['product']
class OrderAdmin(admin.ModelAdmin):
list_display = ['id', 'first_name', 'last_name', 'email', 'address', 'postal_code', 'city', 'paid', 'created',
'... | 24.777778 | 111 | 0.719731 | from django.contrib import admin
from .models import Order, OrderItem
class OrderItemInline(admin.TabularInline):
model = OrderItem
raw_id_fields = ['product']
class OrderAdmin(admin.ModelAdmin):
list_display = ['id', 'first_name', 'last_name', 'email', 'address', 'postal_code', 'city', 'paid', 'created',
'... | true | true |
f74a19d79b163eb52033a1b8e64d27f3ad642748 | 12,732 | py | Python | opensfm/config.py | m-abdulhak/OpenSfM | 7b29b9eecfd0919466dac88b7f34c4a635afbf22 | [
"BSD-2-Clause"
] | 1 | 2020-11-18T03:14:45.000Z | 2020-11-18T03:14:45.000Z | opensfm/config.py | popweize/OpenSfM | 767756c2c2f35a2d081a03dffdaa0ba21400a89e | [
"BSD-2-Clause"
] | null | null | null | opensfm/config.py | popweize/OpenSfM | 767756c2c2f35a2d081a03dffdaa0ba21400a89e | [
"BSD-2-Clause"
] | null | null | null | import os
import yaml
default_config_yaml = """
# Metadata
use_exif_size: yes
default_focal_prior: 0.85
# Params for features
feature_type: HAHOG # Feature type (AKAZE, SURF, SIFT, HAHOG, ORB)
feature_root: 1 # If 1, apply square root mapping to features
feature_min_frames... | 66.3125 | 213 | 0.745287 | import os
import yaml
default_config_yaml = """
# Metadata
use_exif_size: yes
default_focal_prior: 0.85
# Params for features
feature_type: HAHOG # Feature type (AKAZE, SURF, SIFT, HAHOG, ORB)
feature_root: 1 # If 1, apply square root mapping to features
feature_min_frames... | true | true |
f74a1a795ba2035cc35513d7143cafeb4fc39196 | 2,064 | py | Python | scripts/make_predictions.py | abhi12ravi/iwpa | 6d93012421c046a2a32fc5d78ea647977cfb355f | [
"MIT"
] | null | null | null | scripts/make_predictions.py | abhi12ravi/iwpa | 6d93012421c046a2a32fc5d78ea647977cfb355f | [
"MIT"
] | 2 | 2021-09-14T10:58:40.000Z | 2021-09-14T10:59:39.000Z | scripts/make_predictions.py | abhi12ravi/iwppa | ebe133412b7ef24453e090b6b44d8d78a540c384 | [
"MIT"
] | null | null | null | import lazypredict
import sys
import numpy as np
np.set_printoptions(threshold=sys.maxsize)
#Read data file
import pandas as pd
filepath = "dataset/trial_1200/balanced_dataset2.csv"
df = pd.read_csv(filepath)
features = df
# Labels are the values we want to predict
labels = np.array(df['protection_level'])
# Remov... | 30.80597 | 137 | 0.763081 | import lazypredict
import sys
import numpy as np
np.set_printoptions(threshold=sys.maxsize)
import pandas as pd
filepath = "dataset/trial_1200/balanced_dataset2.csv"
df = pd.read_csv(filepath)
features = df
labels = np.array(df['protection_level'])
features = features.drop('protection_level', axis = 1)
features... | true | true |
f74a1a7a08c225ce0a20fb04fc8b3952f784bcb9 | 2,391 | py | Python | Lib/test/test_macfs.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | Lib/test/test_macfs.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | Lib/test/test_macfs.py | raychorn/svn_Python-2.5.1 | 425005b1b489ba44ec0bb989e077297e8953d9be | [
"PSF-2.0"
] | null | null | null | # Copyright (C) 2003 Python Software Foundation
import unittest
import warnings
warnings.filterwarnings("ignore", "macfs.*", DeprecationWarning, __name__)
import macfs
import os
import sys
import tempfile
from test import test_support
class TestMacfs(unittest.TestCase):
def setUp(self):
fp ... | 30.265823 | 87 | 0.628607 |
import unittest
import warnings
warnings.filterwarnings("ignore", "macfs.*", DeprecationWarning, __name__)
import macfs
import os
import sys
import tempfile
from test import test_support
class TestMacfs(unittest.TestCase):
def setUp(self):
fp = open(test_support.TESTFN, 'w')
fp.wri... | true | true |
f74a1a9a3c72ab8cc547b13e5961a1c589cb46db | 974 | py | Python | examples/lineChartXY.py | oz123/python-nvd3 | fd4998549542343b74b82ca72cbcee97845b06ee | [
"MIT"
] | 442 | 2015-01-12T10:13:52.000Z | 2022-01-11T15:18:48.000Z | examples/lineChartXY.py | oz123/python-nvd3 | fd4998549542343b74b82ca72cbcee97845b06ee | [
"MIT"
] | 106 | 2015-01-11T20:27:50.000Z | 2021-11-05T17:18:15.000Z | examples/lineChartXY.py | oz123/python-nvd3 | fd4998549542343b74b82ca72cbcee97845b06ee | [
"MIT"
] | 161 | 2015-01-06T13:31:18.000Z | 2022-03-09T05:22:30.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Examples for Python-nvd3 is a Python wrapper for NVD3 graph library.
NVD3 is an attempt to build re-usable charts and chart components
for d3.js without taking away the power that d3.js gives you.
Project location : https://github.com/areski/python-nvd3
"""
from nvd3 imp... | 26.324324 | 91 | 0.646817 |
from nvd3 import lineChart
from numpy import sin, pi, linspace
output_file = open('test_lineChartXY.html', 'w')
type = "lineChart"
chart = lineChart(name=type, x_is_date=False,
x_axis_format=".1f", y_axis_format=".1f",
width=500, height=500,
show_legend=False)... | true | true |
f74a1acf8fd87b7d0428cfd522f234fac101f0d3 | 3,747 | py | Python | mqrepl/mqlogger.py | tve/mpy-mqtt | 98bcdd0c3bf3d301cdc039f88f5c4b851cf1bc66 | [
"MIT"
] | 80 | 2020-05-26T08:15:43.000Z | 2022-03-24T11:01:41.000Z | mqrepl/mqlogger.py | tve/mpy-mqtt | 98bcdd0c3bf3d301cdc039f88f5c4b851cf1bc66 | [
"MIT"
] | 19 | 2020-05-26T07:49:43.000Z | 2021-07-27T23:33:10.000Z | mqrepl/mqlogger.py | tve/mpy-mqtt | 98bcdd0c3bf3d301cdc039f88f5c4b851cf1bc66 | [
"MIT"
] | 13 | 2020-06-22T17:40:43.000Z | 2021-07-27T19:23:20.000Z | # MQTT Logger for MicroPython by Thorsten von Eicken (c) 2020
#
# Requires mqtt_async for asyncio-based MQTT.
#!!!!!!!!!! This code was pulled out of mqrepl and is not finished. It's probably better to
#!!!!!!!!!! hook Logging and make sure all errors and exceptions result in calls to Logging.
#!!!!!!!!!! This way ver... | 36.378641 | 98 | 0.60822 |
#!!!!!!!!!! hook Logging and make sure all errors and exceptions result in calls to Logging.
#!!!!!!!!!! This way verbosity can be controlled and the line oriented nature makes it easier
#!!!!!!!!!! to parse.
import io, os
import uasyncio as asyncio
from uasyncio import Loop
import logging
log = logging.getLogger... | true | true |
f74a1bf085046e18ee77598994dae58d97f73cd0 | 4,991 | py | Python | gpflow/_settings.py | marctom/GPflow | 649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f | [
"Apache-2.0"
] | 1 | 2020-01-27T19:05:28.000Z | 2020-01-27T19:05:28.000Z | gpflow/_settings.py | marctom/GPflow | 649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f | [
"Apache-2.0"
] | null | null | null | gpflow/_settings.py | marctom/GPflow | 649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f | [
"Apache-2.0"
] | null | null | null | import os
import copy
import collections
import warnings
import logging
import inspect
from collections import OrderedDict
import configparser
import numpy as np
import tensorflow as tf
class _SettingsContextManager(object):
def __init__(self, manager, tmp_settings):
self._manager = manager
sel... | 28.19774 | 80 | 0.635945 | import os
import copy
import collections
import warnings
import logging
import inspect
from collections import OrderedDict
import configparser
import numpy as np
import tensorflow as tf
class _SettingsContextManager(object):
def __init__(self, manager, tmp_settings):
self._manager = manager
sel... | true | true |
f74a1d08e0902583b5cd19cd039aea131ec0c4a4 | 5,506 | py | Python | jenkinsapi_utils/jenkins_launcher.py | ifwe/jenkinsapi | 31a7fbb07efcd48e226f7dcf643fd2a2625416c0 | [
"MIT"
] | 1 | 2015-01-12T14:15:59.000Z | 2015-01-12T14:15:59.000Z | jenkinsapi_utils/jenkins_launcher.py | moustuk/jenkinsapi-1 | d18c1e669965c209093763f3295f79c9d3ccdeea | [
"MIT"
] | null | null | null | jenkinsapi_utils/jenkins_launcher.py | moustuk/jenkinsapi-1 | d18c1e669965c209093763f3295f79c9d3ccdeea | [
"MIT"
] | null | null | null | import os
import time
import Queue
import random
import shutil
import logging
import datetime
import tempfile
import requests
import threading
import subprocess
import pkg_resources
from jenkinsapi.jenkins import Jenkins
from jenkinsapi.custom_exceptions import JenkinsAPIException
log = logging.getLogger(__name__)
... | 30.087432 | 96 | 0.599346 | import os
import time
import Queue
import random
import shutil
import logging
import datetime
import tempfile
import requests
import threading
import subprocess
import pkg_resources
from jenkinsapi.jenkins import Jenkins
from jenkinsapi.custom_exceptions import JenkinsAPIException
log = logging.getLogger(__name__)
... | true | true |
f74a1d93fc46848fcfb9d4be44187fb3a6570e1b | 662 | py | Python | tests/group/test_delete_group.py | alenickwork/python_training | 04300b1ff3b1a30f4f724411944ad2f67a3067f5 | [
"Apache-2.0"
] | null | null | null | tests/group/test_delete_group.py | alenickwork/python_training | 04300b1ff3b1a30f4f724411944ad2f67a3067f5 | [
"Apache-2.0"
] | null | null | null | tests/group/test_delete_group.py | alenickwork/python_training | 04300b1ff3b1a30f4f724411944ad2f67a3067f5 | [
"Apache-2.0"
] | null | null | null | from model.group import Group, clean
import random
def test_delete_some_group(app, db, check_ui):
if len(db.get_group_list()) == 0:
test_group = Group()
test_group.dummy()
app.group.create(test_group)
old_groups = db.get_group_list()
group = random.choice(old_groups)
app.group... | 25.461538 | 73 | 0.670695 | from model.group import Group, clean
import random
def test_delete_some_group(app, db, check_ui):
if len(db.get_group_list()) == 0:
test_group = Group()
test_group.dummy()
app.group.create(test_group)
old_groups = db.get_group_list()
group = random.choice(old_groups)
app.group... | true | true |
f74a1f06253c573af8f4b81d28f7a232ac6ab9ae | 8,429 | py | Python | src/perceptual_scores.py | furgerf/GAN-for-dermatologic-imaging | e90b06c46c7693e984a4c5b067e18460113cd23b | [
"Apache-2.0"
] | null | null | null | src/perceptual_scores.py | furgerf/GAN-for-dermatologic-imaging | e90b06c46c7693e984a4c5b067e18460113cd23b | [
"Apache-2.0"
] | 9 | 2020-09-26T01:22:00.000Z | 2022-01-22T18:00:52.000Z | src/perceptual_scores.py | furgerf/GAN-for-dermatologic-imaging | e90b06c46c7693e984a4c5b067e18460113cd23b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import os
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from scipy.misc import imread
from sklearn.cluster import KMeans
from sklearn.decomposition.pca import PCA
from tqdm import tqdm
from utils import (kernel_classifier_distance_and_std_from_activations,... | 56.952703 | 148 | 0.758216 |
import os
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from scipy.misc import imread
from sklearn.cluster import KMeans
from sklearn.decomposition.pca import PCA
from tqdm import tqdm
from utils import (kernel_classifier_distance_and_std_from_activations,
l... | true | true |
f74a1f0a1396127a8f8d77c9e8497c428d42886c | 2,766 | py | Python | kube_hunter/modules/discovery/kubelet.py | vipulgupta2048/kube-hunter | fe3dba90d8cc6f947846e6a099a2562e7c2f88b1 | [
"Apache-2.0"
] | 1 | 2021-09-13T21:52:52.000Z | 2021-09-13T21:52:52.000Z | kube_hunter/modules/discovery/kubelet.py | vipulgupta2048/kube-hunter | fe3dba90d8cc6f947846e6a099a2562e7c2f88b1 | [
"Apache-2.0"
] | 2 | 2021-05-20T20:17:17.000Z | 2022-02-26T09:20:16.000Z | kube_hunter/modules/discovery/kubelet.py | vipulgupta2048/kube-hunter | fe3dba90d8cc6f947846e6a099a2562e7c2f88b1 | [
"Apache-2.0"
] | 1 | 2020-07-29T07:50:10.000Z | 2020-07-29T07:50:10.000Z | import json
import logging
import requests
import urllib3
from enum import Enum
from kube_hunter.core.types import Discovery, Kubelet
from kube_hunter.core.events import handler
from kube_hunter.core.events.types import OpenPortEvent, Vulnerability, Event, Service
urllib3.disable_warnings(urllib3.exceptions.Insecure... | 39.514286 | 138 | 0.697397 | import json
import logging
import requests
import urllib3
from enum import Enum
from kube_hunter.core.types import Discovery, Kubelet
from kube_hunter.core.events import handler
from kube_hunter.core.events.types import OpenPortEvent, Vulnerability, Event, Service
urllib3.disable_warnings(urllib3.exceptions.Insecure... | true | true |
f74a1fac72e8db0db60a9d56a40580b5da56dfdc | 2,149 | py | Python | tools/python/descriptions/__main__.py | smartyw/organicmaps | 9b10eb9d3ed6833861cef294c2416cc98b15e10d | [
"Apache-2.0"
] | 4,879 | 2015-09-30T10:56:36.000Z | 2022-03-31T18:43:03.000Z | tools/python/descriptions/__main__.py | smartyw/organicmaps | 9b10eb9d3ed6833861cef294c2416cc98b15e10d | [
"Apache-2.0"
] | 7,549 | 2015-09-30T10:52:53.000Z | 2022-03-31T22:04:22.000Z | tools/python/descriptions/__main__.py | smartyw/organicmaps | 9b10eb9d3ed6833861cef294c2416cc98b15e10d | [
"Apache-2.0"
] | 1,493 | 2015-09-30T10:43:06.000Z | 2022-03-21T09:16:49.000Z | import argparse
import itertools
import logging
import os
import wikipediaapi
from descriptions.descriptions_downloader import check_and_get_checker
from descriptions.descriptions_downloader import download_from_wikidata_tags
from descriptions.descriptions_downloader import download_from_wikipedia_tags
from descripti... | 30.7 | 84 | 0.688227 | import argparse
import itertools
import logging
import os
import wikipediaapi
from descriptions.descriptions_downloader import check_and_get_checker
from descriptions.descriptions_downloader import download_from_wikidata_tags
from descriptions.descriptions_downloader import download_from_wikipedia_tags
from descripti... | true | true |
f74a207d8ad9dfa591242c7ec093206515629648 | 12,014 | py | Python | fiftyone/core/document.py | seantrue/fiftyone | 75c853714d2712b8da51a5c53ae68f6c47229b06 | [
"Apache-2.0"
] | null | null | null | fiftyone/core/document.py | seantrue/fiftyone | 75c853714d2712b8da51a5c53ae68f6c47229b06 | [
"Apache-2.0"
] | null | null | null | fiftyone/core/document.py | seantrue/fiftyone | 75c853714d2712b8da51a5c53ae68f6c47229b06 | [
"Apache-2.0"
] | null | null | null | """
Base class for objects that are backed by database documents.
| Copyright 2017-2020, Voxel51, Inc.
| `voxel51.com <https://voxel51.com/>`_
|
"""
from copy import deepcopy
import eta.core.serial as etas
class Document(object):
"""Base class for objects that are associated with
:class:`fiftyone.core.datas... | 30.035 | 79 | 0.598219 | from copy import deepcopy
import eta.core.serial as etas
class Document(object):
def __init__(self, dataset=None):
self._dataset = dataset
def __dir__(self):
return super().__dir__() + list(self.field_names)
def __getattr__(self, name):
try:
return super().__getattr... | true | true |
f74a21622409ae9fba21c08542aa3faea1cac0d7 | 21,667 | py | Python | train_pt.py | naviocean/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | [
"MIT"
] | 2,649 | 2018-08-03T14:18:00.000Z | 2022-03-31T08:08:17.000Z | train_pt.py | naviocean/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | [
"MIT"
] | 95 | 2018-08-13T01:46:03.000Z | 2022-03-13T08:38:14.000Z | train_pt.py | naviocean/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | [
"MIT"
] | 549 | 2018-08-06T08:09:22.000Z | 2022-03-31T08:08:21.000Z | """
Script for training model on PyTorch.
"""
import os
import time
import logging
import argparse
import random
import numpy as np
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.utils.data
from common.logger_utils import initialize_logging
from common.train_log_param_sav... | 30.516901 | 120 | 0.577145 |
import os
import time
import logging
import argparse
import random
import numpy as np
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.utils.data
from common.logger_utils import initialize_logging
from common.train_log_param_saver import TrainLogParamSaver
from pytorch.utils impo... | true | true |
f74a22c77623d99cdf6cf98d19aadd9576da3f1f | 1,743 | py | Python | python/qipkg/actions/ls_package.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | python/qipkg/actions/ls_package.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | python/qipkg/actions/ls_package.py | vbarbaresi/qibuild | eab6b815fe0af49ea5c41ccddcd0dff2363410e1 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
""" List the contents of a package """
import zipfile
import os
import tabulate
from qisys import ui
import qisys.parsers
def configure_parser(parse... | 30.578947 | 79 | 0.629948 |
import zipfile
import os
import tabulate
from qisys import ui
import qisys.parsers
def configure_parser(parser):
qisys.parsers.default_parser(parser)
parser.add_argument("pkg_path")
parser.add_argument("--sort", "-s", default="f", action="store")
parser.add_argument("--reverse", "-r", action="sto... | true | true |
f74a22cb82d37a2b25432d3513f01b3faa51decd | 777 | py | Python | scraper.py | shauryashahi/Indian-Schools-Database | 02be2e0229b819820a72642406be07b9aa77f7ea | [
"Apache-2.0"
] | null | null | null | scraper.py | shauryashahi/Indian-Schools-Database | 02be2e0229b819820a72642406be07b9aa77f7ea | [
"Apache-2.0"
] | null | null | null | scraper.py | shauryashahi/Indian-Schools-Database | 02be2e0229b819820a72642406be07b9aa77f7ea | [
"Apache-2.0"
] | null | null | null | from lxml.html import parse
def main():
baseurl = 'http://www.schoolcolleges.com/school.select.php?offset=%s&val=city=%270%27&select=%s'
states = [
'Andhra Pradesh',
'Arunachal Pradesh',
'Assam',
'BIHAR',
'Chhattisgarh',
'Goa',
'Gujarat',
'Haryana',
'Himachal Pradesh',
'Jammu & Kashmir',
'Jharkhand',
'Ka... | 18.069767 | 97 | 0.635779 | from lxml.html import parse
def main():
baseurl = 'http://www.schoolcolleges.com/school.select.php?offset=%s&val=city=%270%27&select=%s'
states = [
'Andhra Pradesh',
'Arunachal Pradesh',
'Assam',
'BIHAR',
'Chhattisgarh',
'Goa',
'Gujarat',
'Haryana',
'Himachal Pradesh',
'Jammu & Kashmir',
'Jharkhand',
'Ka... | true | true |
f74a22fe350f5da0824bed9b1a5ba19ba798a127 | 37,492 | py | Python | test/test_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 526 | 2015-01-05T14:33:10.000Z | 2022-03-09T12:41:37.000Z | test/test_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 71 | 2015-01-01T01:03:09.000Z | 2021-10-01T06:57:07.000Z | test/test_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 139 | 2015-01-13T21:23:38.000Z | 2022-02-24T03:26:34.000Z | import numpy as np
import nose
import cudamat as cm
def setup():
cm.cublas_init()
def teardown():
cm.cublas_shutdown()
def test_reshape():
m = 256
n = 1
cm1 = np.array(np.random.rand(n, m)*10, dtype=np.float32, order='F')
cm2 = np.array(np.random.rand(m, n)*10, dtype=np.float32, order='F')
... | 30.781609 | 143 | 0.614478 | import numpy as np
import nose
import cudamat as cm
def setup():
cm.cublas_init()
def teardown():
cm.cublas_shutdown()
def test_reshape():
m = 256
n = 1
cm1 = np.array(np.random.rand(n, m)*10, dtype=np.float32, order='F')
cm2 = np.array(np.random.rand(m, n)*10, dtype=np.float32, order='F')
... | true | true |
f74a23cb3368c5e3ccec08a100cc94c7ba57cd11 | 6,869 | py | Python | bert_pytorch/dataset/vocab.py | YongWookHa/BERT-pytorch | d593f66374985be378a0b6e8133ce1c8c6e28531 | [
"Apache-2.0"
] | null | null | null | bert_pytorch/dataset/vocab.py | YongWookHa/BERT-pytorch | d593f66374985be378a0b6e8133ce1c8c6e28531 | [
"Apache-2.0"
] | null | null | null | bert_pytorch/dataset/vocab.py | YongWookHa/BERT-pytorch | d593f66374985be378a0b6e8133ce1c8c6e28531 | [
"Apache-2.0"
] | null | null | null | import pickle
import tqdm
from collections import Counter
class TorchVocab(object):
"""Defines a vocabulary object that will be used to numericalize a field.
Attributes:
freqs: A collections.Counter object holding the frequencies of tokens
in the data used to build the Vocab.
stoi:... | 36.537234 | 93 | 0.60329 | import pickle
import tqdm
from collections import Counter
class TorchVocab(object):
def __init__(self, counter, max_size=None, min_freq=1, specials=['<pad>', '<oov>'],
vectors=None, unk_init=None, vectors_cache=None):
self.freqs = counter
counter = counter.copy()
min_freq... | true | true |
f74a24918eeb5217ecaa258080a7078fa2645839 | 99,629 | py | Python | mmtbx/regression/model/tst_model.py | Anthchirp/cctbx | b8064f755b1dbadf05b8fbf806b7d50d73ef69bf | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/regression/model/tst_model.py | Anthchirp/cctbx | b8064f755b1dbadf05b8fbf806b7d50d73ef69bf | [
"BSD-3-Clause-LBNL"
] | null | null | null | mmtbx/regression/model/tst_model.py | Anthchirp/cctbx | b8064f755b1dbadf05b8fbf806b7d50d73ef69bf | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import absolute_import, division, print_function
from cctbx.array_family import flex
import os
import mmtbx.model
import libtbx.load_env
from six.moves import cStringIO as StringIO
from libtbx.utils import format_cpu_times, null_out
from libtbx.test_utils import approx_equal, show_diff
import iotbx.pdb
... | 65.28768 | 111 | 0.497325 | from __future__ import absolute_import, division, print_function
from cctbx.array_family import flex
import os
import mmtbx.model
import libtbx.load_env
from six.moves import cStringIO as StringIO
from libtbx.utils import format_cpu_times, null_out
from libtbx.test_utils import approx_equal, show_diff
import iotbx.pdb
... | true | true |
f74a25276eabbc04aee30b11c2806c6d2b732149 | 63,456 | py | Python | tests/test_functional.py | alvistack/Pylons-waitress | c87c899dc6b9c56ff8f1fc6a674a25b1109bad85 | [
"ZPL-2.1"
] | null | null | null | tests/test_functional.py | alvistack/Pylons-waitress | c87c899dc6b9c56ff8f1fc6a674a25b1109bad85 | [
"ZPL-2.1"
] | null | null | null | tests/test_functional.py | alvistack/Pylons-waitress | c87c899dc6b9c56ff8f1fc6a674a25b1109bad85 | [
"ZPL-2.1"
] | null | null | null | import errno
from http import client as httplib
import logging
import multiprocessing
import os
import signal
import socket
import string
import subprocess
import sys
import time
import unittest
from waitress import server
from waitress.compat import WIN
from waitress.utilities import cleanup_unix_socket
dn = os.path... | 37.659347 | 88 | 0.58888 | import errno
from http import client as httplib
import logging
import multiprocessing
import os
import signal
import socket
import string
import subprocess
import sys
import time
import unittest
from waitress import server
from waitress.compat import WIN
from waitress.utilities import cleanup_unix_socket
dn = os.path... | true | true |
f74a257c63e093da6cea2f7307231a299eb3506a | 123 | py | Python | fuzza/transformer/__init__.py | raphlcx/fuzza | efec8e1d22093876baf1de6a03115979e44228d9 | [
"MIT"
] | 7 | 2018-10-19T03:44:08.000Z | 2021-06-13T23:23:56.000Z | fuzza/transformer/__init__.py | raphlcx/fuzza | efec8e1d22093876baf1de6a03115979e44228d9 | [
"MIT"
] | null | null | null | fuzza/transformer/__init__.py | raphlcx/fuzza | efec8e1d22093876baf1de6a03115979e44228d9 | [
"MIT"
] | null | null | null | """
fuzza.transformer
-----------------
The transformer module for data transformation.
"""
from .transformer import init
| 15.375 | 47 | 0.666667 | from .transformer import init
| true | true |
f74a26f86c5319aef74c8b7423476c23ae6f70d8 | 1,997 | py | Python | tests/test_monitor.py | autostack/pytest-sensor | 984bf1bae54521a30719d3b757bda6c910b9566b | [
"MIT"
] | 2 | 2015-09-27T19:46:42.000Z | 2015-09-30T05:55:21.000Z | tests/test_monitor.py | autostack/pytest-sensor | 984bf1bae54521a30719d3b757bda6c910b9566b | [
"MIT"
] | null | null | null | tests/test_monitor.py | autostack/pytest-sensor | 984bf1bae54521a30719d3b757bda6c910b9566b | [
"MIT"
] | null | null | null | #!/usr/bin/ctx python
# -*- coding: UTF-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import pytest
import time
import redis
from pprint import pprint as pp
from sensor.constants import (TEST_CAHNNEL_ID, CONFIG)
class PublishMock(object):
de... | 30.257576 | 84 | 0.546319 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import pytest
import time
import redis
from pprint import pprint as pp
from sensor.constants import (TEST_CAHNNEL_ID, CONFIG)
class PublishMock(object):
def __init__(self):
self.q = redis.Str... | true | true |
f74a285df7785990c054ccc604ba054ab849e608 | 4,032 | py | Python | DQM/Integration/scripts/XMLcfgfiles/getRunAppsInfo.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQM/Integration/scripts/XMLcfgfiles/getRunAppsInfo.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQM/Integration/scripts/XMLcfgfiles/getRunAppsInfo.py | Purva-Chaudhari/cmssw | 32e5cbfe54c4d809d60022586cf200b7c3020bcf | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | #!/usr/bin/env python3
"""This module provides the PID and the log file name of the running DQM
applications (consumers), thus completing the information generated by
ExtractAppInfoFromXML.
When used as a script the following options are accepted:
-f Show all columns
-h show headers
"""
from __future__ import prin... | 34.461538 | 105 | 0.509177 |
from __future__ import print_function
import sys
import os.path
import getopt as gop
import ExtractAppInfoFromXML as appinf
| true | true |
f74a2896a1d27cb39eb9be8b7f90b3a49f353807 | 38,296 | py | Python | dbio/dss/__init__.py | DataBiosphere/data-store-cli | d83776ac68d3c6c86de1714487803bbdf705fddf | [
"MIT"
] | null | null | null | dbio/dss/__init__.py | DataBiosphere/data-store-cli | d83776ac68d3c6c86de1714487803bbdf705fddf | [
"MIT"
] | 41 | 2020-01-13T22:19:19.000Z | 2020-03-16T23:11:37.000Z | dbio/dss/__init__.py | DataBiosphere/data-store-cli | d83776ac68d3c6c86de1714487803bbdf705fddf | [
"MIT"
] | null | null | null | """
Data Storage System
*******************
"""
import errno
import functools
import json
from collections import defaultdict, namedtuple
import concurrent.futures
from datetime import datetime
from fnmatch import fnmatchcase
import hashlib
import os
import re
import tempfile
import time
import uuid
from io import open... | 49.160462 | 120 | 0.59283 | import errno
import functools
import json
from collections import defaultdict, namedtuple
import concurrent.futures
from datetime import datetime
from fnmatch import fnmatchcase
import hashlib
import os
import re
import tempfile
import time
import uuid
from io import open
import requests
from atomicwrites import atomi... | true | true |
f74a289b7b4788b88050af5050044eda2804967f | 7,357 | py | Python | algotrade/broker/broker.py | ZhizhongPan/algo_trade | 5fffa50205c0fb0dd6866872798b3844404c94bb | [
"Apache-2.0"
] | null | null | null | algotrade/broker/broker.py | ZhizhongPan/algo_trade | 5fffa50205c0fb0dd6866872798b3844404c94bb | [
"Apache-2.0"
] | null | null | null | algotrade/broker/broker.py | ZhizhongPan/algo_trade | 5fffa50205c0fb0dd6866872798b3844404c94bb | [
"Apache-2.0"
] | 1 | 2020-06-19T12:10:56.000Z | 2020-06-19T12:10:56.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'phil.zhang'
from abc import ABCMeta, abstractmethod, abstractproperty
import six
from algotrade.event_engine import EventEngineMixin
# class BaseBroker(six.with_metaclass(ABCMeta), EventEngineMixin):
# def __init__(self):
# self.event_engine ... | 39.983696 | 146 | 0.672285 |
__author__ = 'phil.zhang'
from abc import ABCMeta, abstractmethod, abstractproperty
import six
from algotrade.event_engine import EventEngineMixin
| true | true |
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