hexsha stringlengths 40 40 | size int64 2 1.02M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 245 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 245 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.02M | avg_line_length float64 1 417k | max_line_length int64 1 987k | alphanum_fraction float64 0 1 | content_no_comment stringlengths 0 1.01M | is_comment_constant_removed bool 1
class | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c28d61dbc05e81253d94819c75360a0851d7bec | 27 | py | Python | snippets/credit-reverse.py | timgates42/balanced-python | 1df86b45c36a97ec2e214480c6806c4df3c79860 | [
"MIT"
] | 12 | 2015-04-12T06:18:33.000Z | 2021-03-03T23:54:19.000Z | snippets/credit-reverse.py | takwas/balanced-python | 1df86b45c36a97ec2e214480c6806c4df3c79860 | [
"MIT"
] | 1 | 2021-11-24T20:10:19.000Z | 2021-11-24T20:10:19.000Z | snippets/credit-reverse.py | takwas/balanced-python | 1df86b45c36a97ec2e214480c6806c4df3c79860 | [
"MIT"
] | 14 | 2015-03-23T17:52:06.000Z | 2021-11-24T11:04:15.000Z | reversal = credit.reverse() | 27 | 27 | 0.777778 | reversal = credit.reverse() | true | true |
1c28d6c0c89123bbb2ea2e23f1b00871ecf364c5 | 7,992 | py | Python | batch/batch/cloud/gcp/resources.py | daniel-goldstein/hail | 88d7f312882eaf22d16c9d58c1223e5469c98cab | [
"MIT"
] | null | null | null | batch/batch/cloud/gcp/resources.py | daniel-goldstein/hail | 88d7f312882eaf22d16c9d58c1223e5469c98cab | [
"MIT"
] | 19 | 2022-03-03T20:11:41.000Z | 2022-03-30T20:31:57.000Z | batch/batch/cloud/gcp/resources.py | pwc2/hail | edeb70bc789c881dffa0724ddd11fcb25e689b67 | [
"MIT"
] | null | null | null | import abc
from typing import Dict, Any, Optional
from ...driver.billing_manager import ProductVersions
from ...resources import (Resource, StaticSizedDiskResourceMixin, ComputeResourceMixin, MemoryResourceMixin, IPFeeResourceMixin, ServiceFeeResourceMixin,
DynamicSizedDiskResourceMixin, Quan... | 33.3 | 153 | 0.659284 | import abc
from typing import Dict, Any, Optional
from ...driver.billing_manager import ProductVersions
from ...resources import (Resource, StaticSizedDiskResourceMixin, ComputeResourceMixin, MemoryResourceMixin, IPFeeResourceMixin, ServiceFeeResourceMixin,
DynamicSizedDiskResourceMixin, Quan... | true | true |
1c28d7e7735264731f56049937d3a80168662c6f | 346 | py | Python | cartography/intel/aws/ec2/__init__.py | ryohare/cartography | 3829a97289bc2b28d041e6d7860678e2375dcee1 | [
"Apache-2.0"
] | 2,322 | 2019-03-02T01:07:20.000Z | 2022-03-31T20:39:12.000Z | cartography/intel/aws/ec2/__init__.py | ryohare/cartography | 3829a97289bc2b28d041e6d7860678e2375dcee1 | [
"Apache-2.0"
] | 462 | 2019-03-07T18:38:11.000Z | 2022-03-31T14:55:20.000Z | cartography/intel/aws/ec2/__init__.py | ryohare/cartography | 3829a97289bc2b28d041e6d7860678e2375dcee1 | [
"Apache-2.0"
] | 246 | 2019-03-03T02:39:23.000Z | 2022-02-24T09:46:38.000Z | import logging
from typing import List
import boto3
from cartography.util import timeit
logger = logging.getLogger(__name__)
@timeit
def get_ec2_regions(boto3_session: boto3.session.Session) -> List[str]:
client = boto3_session.client('ec2')
result = client.describe_regions()
return [r['RegionName'] fo... | 21.625 | 71 | 0.751445 | import logging
from typing import List
import boto3
from cartography.util import timeit
logger = logging.getLogger(__name__)
@timeit
def get_ec2_regions(boto3_session: boto3.session.Session) -> List[str]:
client = boto3_session.client('ec2')
result = client.describe_regions()
return [r['RegionName'] fo... | true | true |
1c28d8e6f6653716430cf9eaa373461fe1df32a8 | 8,275 | py | Python | src/python/collision_approx_fourier.py | thibnoel/solo-collisions | 87bf492266578b7bfd04a6657675b1477d27b314 | [
"BSD-2-Clause"
] | null | null | null | src/python/collision_approx_fourier.py | thibnoel/solo-collisions | 87bf492266578b7bfd04a6657675b1477d27b314 | [
"BSD-2-Clause"
] | null | null | null | src/python/collision_approx_fourier.py | thibnoel/solo-collisions | 87bf492266578b7bfd04a6657675b1477d27b314 | [
"BSD-2-Clause"
] | 1 | 2022-03-04T07:49:28.000Z | 2022-03-04T07:49:28.000Z | import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
from solo12_shoulder_collision_utils import followBoundary, colMapToDistField
# Load the collision map from file
res = 200
col_map_file = './npy_data/collision_map_centered_res{}.npy'.format(res)
dist_field_file = './npy_data/updated_collisio... | 34.623431 | 158 | 0.670816 | import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
from solo12_shoulder_collision_utils import followBoundary, colMapToDistField
res = 200
col_map_file = './npy_data/collision_map_centered_res{}.npy'.format(res)
dist_field_file = './npy_data/updated_collision_map_distance_res{}.npy'.format(r... | true | true |
1c28d8f1dd9ab6fea20d27f3a869995936a21e65 | 23,857 | py | Python | granular_access/lambda_functions/granular_access_assets_govenance/granular_access_assets_govenance.py | DataChant/amazon-quicksight-sdk-proserve | 98c8ceb1b603f7c5dd88357c49e8f71372cd3a1a | [
"MIT-0"
] | null | null | null | granular_access/lambda_functions/granular_access_assets_govenance/granular_access_assets_govenance.py | DataChant/amazon-quicksight-sdk-proserve | 98c8ceb1b603f7c5dd88357c49e8f71372cd3a1a | [
"MIT-0"
] | null | null | null | granular_access/lambda_functions/granular_access_assets_govenance/granular_access_assets_govenance.py | DataChant/amazon-quicksight-sdk-proserve | 98c8ceb1b603f7c5dd88357c49e8f71372cd3a1a | [
"MIT-0"
] | null | null | null | import json
import boto3
import logging
import csv
import io
import os
import tempfile
# import awswrangler as wr
from typing import Any, Callable, Dict, List, Optional, Union
import botocore
def default_botocore_config() -> botocore.config.Config:
"""Botocore configuration."""
retries_config: Dict[str, Unio... | 39.828047 | 118 | 0.472482 | import json
import boto3
import logging
import csv
import io
import os
import tempfile
from typing import Any, Callable, Dict, List, Optional, Union
import botocore
def default_botocore_config() -> botocore.config.Config:
retries_config: Dict[str, Union[str, int]] = {
"max_attempts": int(os.getenv("AWS_... | true | true |
1c28da05f18750e69a4499fd9b9574f15d267cee | 1,726 | py | Python | src/primaires/objet/types/clef.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | src/primaires/objet/types/clef.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | src/primaires/objet/types/clef.py | stormi/tsunami | bdc853229834b52b2ee8ed54a3161a1a3133d926 | [
"BSD-3-Clause"
] | null | null | null | # -*-coding:Utf-8 -*
# Copyright (c) 2010 LE GOFF Vincent
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# l... | 41.095238 | 79 | 0.75956 |
from .base import BaseType
class Clef(BaseType):
nom_type = "clef"
| true | true |
1c28db9a9dfb3b11f3a3ad3cce50ebf20cfc11ad | 6,101 | py | Python | homeassistant/components/sensor/haveibeenpwned.py | EmitKiwi/home-assistant | 0999e2ddc476f4bddf710005168b082f03a7cdc0 | [
"Apache-2.0"
] | 4 | 2019-05-14T20:33:43.000Z | 2021-09-25T14:56:08.000Z | homeassistant/components/sensor/haveibeenpwned.py | EmitKiwi/home-assistant | 0999e2ddc476f4bddf710005168b082f03a7cdc0 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/sensor/haveibeenpwned.py | EmitKiwi/home-assistant | 0999e2ddc476f4bddf710005168b082f03a7cdc0 | [
"Apache-2.0"
] | 1 | 2020-08-26T20:54:14.000Z | 2020-08-26T20:54:14.000Z | """
Support for haveibeenpwned (email breaches) sensor.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.haveibeenpwned/
"""
from datetime import timedelta
import logging
import voluptuous as vol
import requests
from homeassistant.components.senso... | 34.083799 | 78 | 0.636945 | from datetime import timedelta
import logging
import voluptuous as vol
import requests
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (STATE_UNKNOWN, CONF_EMAIL)
from homeassistant.helpers.entity import Entity
import homeassistant.helpers.config_validation as cv
from homea... | true | true |
1c28dbe6c3bbd945ec608feb9baac9a60a0f82fc | 1,573 | py | Python | lib/spack/spack/util/string.py | whitfin/spack | aabd2be31a511d0e00c1017f7311a421659319d9 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 3 | 2019-06-27T13:26:50.000Z | 2019-07-01T16:24:54.000Z | lib/spack/spack/util/string.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 75 | 2016-07-27T11:43:00.000Z | 2020-12-08T15:56:53.000Z | lib/spack/spack/util/string.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 8 | 2015-10-16T13:51:49.000Z | 2021-10-18T13:58:03.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
def comma_list(sequence, article=''):
if type(sequence) != list:
sequence = list(sequence)
if not sequen... | 27.12069 | 79 | 0.577241 |
def comma_list(sequence, article=''):
if type(sequence) != list:
sequence = list(sequence)
if not sequence:
return
elif len(sequence) == 1:
return sequence[0]
else:
out = ', '.join(str(s) for s in sequence[:-1])
if len(sequence) != 2:
out += ','... | true | true |
1c28dc4368194dea8544f92bce5cbc97249cc52d | 25 | py | Python | nephelae_utils/__init__.py | pnarvor/nephelae_base | d5f1abeae0b0473b895b4735f182ddae0516a1bd | [
"BSD-3-Clause"
] | null | null | null | nephelae_utils/__init__.py | pnarvor/nephelae_base | d5f1abeae0b0473b895b4735f182ddae0516a1bd | [
"BSD-3-Clause"
] | null | null | null | nephelae_utils/__init__.py | pnarvor/nephelae_base | d5f1abeae0b0473b895b4735f182ddae0516a1bd | [
"BSD-3-Clause"
] | null | null | null | from . import analysis
| 6.25 | 22 | 0.72 | from . import analysis
| true | true |
1c28dc53c64a238cfb89fa0d26b51d014039b665 | 4,497 | py | Python | python/ray/util/client/__init__.py | ChaceAshcraft/ray | a72237f1712e2805f6799de3489e326e2965d624 | [
"Apache-2.0"
] | 1 | 2021-01-29T12:24:02.000Z | 2021-01-29T12:24:02.000Z | python/ray/util/client/__init__.py | ChaceAshcraft/ray | a72237f1712e2805f6799de3489e326e2965d624 | [
"Apache-2.0"
] | 8 | 2021-06-05T07:09:35.000Z | 2022-02-19T08:06:20.000Z | python/ray/util/client/__init__.py | ChaceAshcraft/ray | a72237f1712e2805f6799de3489e326e2965d624 | [
"Apache-2.0"
] | 1 | 2021-01-29T12:24:05.000Z | 2021-01-29T12:24:05.000Z | from typing import List, Tuple, Dict, Any
import logging
logger = logging.getLogger(__name__)
class RayAPIStub:
"""This class stands in as the replacement API for the `import ray` module.
Much like the ray module, this mostly delegates the work to the
_client_worker. As parts of the ray API are covered... | 35.690476 | 79 | 0.620414 | from typing import List, Tuple, Dict, Any
import logging
logger = logging.getLogger(__name__)
class RayAPIStub:
def __init__(self):
from ray.util.client.api import ClientAPI
self.api = ClientAPI()
self.client_worker = None
self._server = None
self._connected_with_init = ... | true | true |
1c28e0ef5e0178f2a6b29c2098b158a63af7e914 | 3,076 | py | Python | code/Attack/ParameterTypes/Port.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 33 | 2018-11-21T12:50:52.000Z | 2022-01-12T05:38:12.000Z | code/Attack/ParameterTypes/Port.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 108 | 2018-11-21T12:33:47.000Z | 2022-02-09T15:56:59.000Z | code/Attack/ParameterTypes/Port.py | TomasMadeja/ID2T | 77f51c074d1ff83c7d648ae62ecaed3e5cfde80c | [
"MIT"
] | 20 | 2018-11-22T13:03:20.000Z | 2022-01-12T00:19:28.000Z | import re
import typing as t
import Attack.ParameterTypes.BaseType as BaseType
class Port(BaseType.ParameterType):
def __init__(self):
super(Port, self).__init__()
self.name = "Port"
def validate(self, value: int) -> (bool, int):
return Port._is_port(value)
@staticmethod
de... | 38.936709 | 119 | 0.56827 | import re
import typing as t
import Attack.ParameterTypes.BaseType as BaseType
class Port(BaseType.ParameterType):
def __init__(self):
super(Port, self).__init__()
self.name = "Port"
def validate(self, value: int) -> (bool, int):
return Port._is_port(value)
@staticmethod
de... | true | true |
1c28e166f2238f1dbb0444bf95a576c4e46259a4 | 213 | py | Python | main/urls.py | gureuso/turnthepage | f86f4e6e80e4a817b06cc5c777d733cf8171310e | [
"Apache-2.0"
] | 1 | 2019-04-27T13:36:26.000Z | 2019-04-27T13:36:26.000Z | main/urls.py | gureuso/turnthepage | f86f4e6e80e4a817b06cc5c777d733cf8171310e | [
"Apache-2.0"
] | 7 | 2020-06-05T20:21:29.000Z | 2022-03-11T23:44:41.000Z | main/urls.py | gureuso/turnthepage | f86f4e6e80e4a817b06cc5c777d733cf8171310e | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
app_name = 'main'
urlpatterns = [
path('', views.IndexView.as_view(), name='index'),
path('favicon.ico', views.FaviconView.as_view(), name='favicon'),
]
| 19.363636 | 69 | 0.676056 | from django.urls import path
from . import views
app_name = 'main'
urlpatterns = [
path('', views.IndexView.as_view(), name='index'),
path('favicon.ico', views.FaviconView.as_view(), name='favicon'),
]
| true | true |
1c28e168ae825e8f1dd49be18f9f919a5a26e5c5 | 19,390 | py | Python | sympy/printing/codeprinter.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | 2 | 2018-12-05T02:30:43.000Z | 2020-11-14T01:43:15.000Z | sympy/printing/codeprinter.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | null | null | null | sympy/printing/codeprinter.py | STALKER2010/sympy-bleeding-edge | 81233029a9a30866747f6da2c0e9604d1681d474 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function, division
from functools import wraps
from sympy.core import Add, Mul, Pow, S, sympify, Float
from sympy.core.basic import Basic
from sympy.core.containers import Tuple
from sympy.core.compatibility import default_sort_key, string_types
from sympy.core.function import Lambda
from... | 39.171717 | 118 | 0.586127 | from __future__ import print_function, division
from functools import wraps
from sympy.core import Add, Mul, Pow, S, sympify, Float
from sympy.core.basic import Basic
from sympy.core.containers import Tuple
from sympy.core.compatibility import default_sort_key, string_types
from sympy.core.function import Lambda
from... | true | true |
1c28e18ad10c4c28a7dd07b3acfa7409e8c816b1 | 3,576 | py | Python | libs/fuel/fuel/converters/cifar100.py | dendisuhubdy/attention-lvcsr | 598d487c118e66875fdd625baa84ed29d283b800 | [
"MIT"
] | 767 | 2015-05-21T03:32:01.000Z | 2019-02-10T13:34:41.000Z | libs/fuel/fuel/converters/cifar100.py | shenshenzhanzhan/attention-lvcsr | 598d487c118e66875fdd625baa84ed29d283b800 | [
"MIT"
] | 274 | 2015-05-16T19:18:45.000Z | 2018-09-06T07:13:38.000Z | libs/fuel/fuel/converters/cifar100.py | shenshenzhanzhan/attention-lvcsr | 598d487c118e66875fdd625baa84ed29d283b800 | [
"MIT"
] | 258 | 2015-05-21T04:55:25.000Z | 2019-01-23T07:34:27.000Z | import os
import tarfile
import h5py
import numpy
import six
from six.moves import cPickle
from fuel.converters.base import fill_hdf5_file, check_exists
DISTRIBUTION_FILE = 'cifar-100-python.tar.gz'
@check_exists(required_files=[DISTRIBUTION_FILE])
def convert_cifar100(directory, output_directory,
... | 33.111111 | 78 | 0.626957 | import os
import tarfile
import h5py
import numpy
import six
from six.moves import cPickle
from fuel.converters.base import fill_hdf5_file, check_exists
DISTRIBUTION_FILE = 'cifar-100-python.tar.gz'
@check_exists(required_files=[DISTRIBUTION_FILE])
def convert_cifar100(directory, output_directory,
... | true | true |
1c28e1f1c448bb5be57c32450b02224e8768b5d2 | 25,334 | py | Python | pyscf/df/hessian/uhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 2 | 2021-09-17T06:10:17.000Z | 2022-01-22T23:37:22.000Z | pyscf/df/hessian/uhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | null | null | null | pyscf/df/hessian/uhf.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 2 | 2020-06-01T05:31:38.000Z | 2022-02-08T02:38:33.000Z | #!/usr/bin/env python
#
# This code was copied from the data generation program of Tencent Alchemy
# project (https://github.com/tencent-alchemy).
#
#
# #
# # Copyright 2019 Tencent America LLC. All Rights Reserved.
# #
# # Licensed under the Apache License, Version 2.0 (the "License");
# # you may not use this file e... | 44.367776 | 115 | 0.570656 |
ssobj, mo_energy=None, mo_coeff=None, mo_occ=None,
atmlst=None, max_memory=4000, verbose=None, with_k=True):
log = logger.new_logger(hessobj, verbose)
time0 = t1 = (time.clock(), time.time())
mol = hessobj.mol
mf = hessobj.base
if mo_energy is None: mo_energy = mf.mo_ene... | true | true |
1c28e22739393c68178febfae2562a0c2c9016c0 | 155 | py | Python | tests/conftest.py | zaibon/js-ng | 8b63c04757d1432ed4aa588500a113610701de14 | [
"Apache-2.0"
] | 2 | 2021-04-28T10:46:08.000Z | 2021-12-22T12:33:34.000Z | tests/conftest.py | zaibon/js-ng | 8b63c04757d1432ed4aa588500a113610701de14 | [
"Apache-2.0"
] | 321 | 2020-06-15T11:48:21.000Z | 2022-03-29T22:13:33.000Z | tests/conftest.py | zaibon/js-ng | 8b63c04757d1432ed4aa588500a113610701de14 | [
"Apache-2.0"
] | 4 | 2020-06-18T06:19:29.000Z | 2021-07-14T12:54:47.000Z | def pytest_collection_modifyitems(items, config):
for item in items:
if not any(item.iter_markers()):
item.add_marker("unittests")
| 31 | 49 | 0.670968 | def pytest_collection_modifyitems(items, config):
for item in items:
if not any(item.iter_markers()):
item.add_marker("unittests")
| true | true |
1c28e23e2f00d969b63b411d6ff7f2566e463277 | 4,234 | py | Python | securify/solidity/utils.py | AlexandreH/securify2 | 2d2ba0e1c20cdda550120ecdc1a7164db9b90e3c | [
"Apache-2.0"
] | 258 | 2020-01-23T16:58:38.000Z | 2022-03-31T17:29:25.000Z | securify/solidity/utils.py | sirhashalot/securify2 | 6852707449577add14bafce8e304946b3490a977 | [
"Apache-2.0"
] | 34 | 2020-01-30T06:11:58.000Z | 2022-02-27T07:53:17.000Z | securify/solidity/utils.py | sirhashalot/securify2 | 6852707449577add14bafce8e304946b3490a977 | [
"Apache-2.0"
] | 66 | 2020-01-28T09:23:05.000Z | 2022-03-22T09:01:43.000Z | import itertools
from dataclasses import dataclass
from functools import lru_cache
from io import StringIO
from tokenize import generate_tokens
from typing import List, Iterable, TypeVar, Callable, Type, Optional
from securify.grammar.attributes.annotations3 import synthesized
T = TypeVar("T")
@dataclass
class Unde... | 23.392265 | 104 | 0.599906 | import itertools
from dataclasses import dataclass
from functools import lru_cache
from io import StringIO
from tokenize import generate_tokens
from typing import List, Iterable, TypeVar, Callable, Type, Optional
from securify.grammar.attributes.annotations3 import synthesized
T = TypeVar("T")
@dataclass
class Unde... | true | true |
1c28e2753555bd55e815072b4f52e5ba9d63b78d | 1,077 | py | Python | gdc_fastq_splitter/__main__.py | kmhernan/gdc-fastq-splitter | cd1ad03e578638051b173b9ddf7e9861cb9c95ef | [
"Apache-2.0"
] | 2 | 2018-03-27T00:58:35.000Z | 2020-10-13T20:03:08.000Z | gdc_fastq_splitter/__main__.py | kmhernan/gdc-fastq-splitter | cd1ad03e578638051b173b9ddf7e9861cb9c95ef | [
"Apache-2.0"
] | 1 | 2020-07-01T17:32:49.000Z | 2020-07-02T18:38:39.000Z | gdc_fastq_splitter/__main__.py | kmhernan/gdc-fastq-splitter | cd1ad03e578638051b173b9ddf7e9861cb9c95ef | [
"Apache-2.0"
] | 3 | 2019-06-07T18:15:15.000Z | 2021-01-09T13:05:02.000Z | """Main entrypoint for gdc-fastq-splitter CLI"""
import argparse
import time
from signal import signal, SIGPIPE, SIG_DFL
from gdc_fastq_splitter import VERSION
from gdc_fastq_splitter.utils import get_logger
from gdc_fastq_splitter.handler import main_handler
signal(SIGPIPE, SIG_DFL)
def main(args=None):
"""The... | 26.925 | 78 | 0.685237 | import argparse
import time
from signal import signal, SIGPIPE, SIG_DFL
from gdc_fastq_splitter import VERSION
from gdc_fastq_splitter.utils import get_logger
from gdc_fastq_splitter.handler import main_handler
signal(SIGPIPE, SIG_DFL)
def main(args=None):
start = time.time()
logger = get_logger("gdc-fastq-... | true | true |
1c28e2878e99a8e86114f181ff3a99e94a42a261 | 13,115 | py | Python | homeassistant/helpers/event.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 1 | 2021-04-08T06:02:25.000Z | 2021-04-08T06:02:25.000Z | homeassistant/helpers/event.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 5 | 2021-02-08T20:32:11.000Z | 2022-01-13T01:19:23.000Z | homeassistant/helpers/event.py | dauden1184/home-assistant | f4c6d389b77d0efa86644e76604eaea5d21abdb5 | [
"Apache-2.0"
] | 1 | 2019-04-16T14:07:20.000Z | 2019-04-16T14:07:20.000Z | """Helpers for listening to events."""
from datetime import timedelta
import functools as ft
from homeassistant.loader import bind_hass
from homeassistant.helpers.sun import get_astral_event_next
from ..core import HomeAssistant, callback
from ..const import (
ATTR_NOW, EVENT_STATE_CHANGED, EVENT_TIME_CHANGED, MAT... | 32.302956 | 79 | 0.691041 | from datetime import timedelta
import functools as ft
from homeassistant.loader import bind_hass
from homeassistant.helpers.sun import get_astral_event_next
from ..core import HomeAssistant, callback
from ..const import (
ATTR_NOW, EVENT_STATE_CHANGED, EVENT_TIME_CHANGED, MATCH_ALL)
from ..util import dt as dt_uti... | true | true |
1c28e2a3e6e2ba27051a5531d417b9a6ee5aa25b | 1,983 | py | Python | tests/generation/modules/decoder_nets/stacked_self_attention_test.py | matt-peters/allennlp-models | cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e | [
"Apache-2.0"
] | 402 | 2020-03-11T22:58:35.000Z | 2022-03-29T09:05:27.000Z | tests/generation/modules/decoder_nets/stacked_self_attention_test.py | matt-peters/allennlp-models | cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e | [
"Apache-2.0"
] | 116 | 2020-03-11T01:26:57.000Z | 2022-03-25T13:03:56.000Z | tests/generation/modules/decoder_nets/stacked_self_attention_test.py | matt-peters/allennlp-models | cdd505ed539fdc2b82e4cc0a23eae4bfd3368e7e | [
"Apache-2.0"
] | 140 | 2020-03-11T00:51:35.000Z | 2022-03-29T09:05:36.000Z | import torch
from allennlp.common.testing import AllenNlpTestCase
from allennlp_models.generation import StackedSelfAttentionDecoderNet
class TestStackedSelfAttentionDecoderNet(AllenNlpTestCase):
def test_stacked_self_attention_decoder_net_init(self):
decoder_inout_dim = 10
decoder_net = Stacked... | 38.882353 | 96 | 0.683812 | import torch
from allennlp.common.testing import AllenNlpTestCase
from allennlp_models.generation import StackedSelfAttentionDecoderNet
class TestStackedSelfAttentionDecoderNet(AllenNlpTestCase):
def test_stacked_self_attention_decoder_net_init(self):
decoder_inout_dim = 10
decoder_net = Stacked... | true | true |
1c28e2acd60fcbdac94b1687c546f3d8d4b375b2 | 200 | py | Python | core/urls.py | PqES/forkuptool | ae7caf33642245618ff59cdc6ff7eb94ea125034 | [
"MIT"
] | null | null | null | core/urls.py | PqES/forkuptool | ae7caf33642245618ff59cdc6ff7eb94ea125034 | [
"MIT"
] | null | null | null | core/urls.py | PqES/forkuptool | ae7caf33642245618ff59cdc6ff7eb94ea125034 | [
"MIT"
] | 1 | 2021-03-17T17:25:37.000Z | 2021-03-17T17:25:37.000Z | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^index/', views.index, name='index'),
url(r'^index/', views.index, name='home'),
url(r'^$', views.index, name='index'),
] | 25 | 44 | 0.655 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^index/', views.index, name='index'),
url(r'^index/', views.index, name='home'),
url(r'^$', views.index, name='index'),
] | true | true |
1c28e5041ed5aa0c648caa11b1f30e5c3638ac9e | 5,665 | py | Python | assignments/assignment1/knn.py | GusevMihail/dlcourse_ai | 7f20c625e09f92f20f2da9304abb1a4edd4ae93c | [
"MIT"
] | null | null | null | assignments/assignment1/knn.py | GusevMihail/dlcourse_ai | 7f20c625e09f92f20f2da9304abb1a4edd4ae93c | [
"MIT"
] | null | null | null | assignments/assignment1/knn.py | GusevMihail/dlcourse_ai | 7f20c625e09f92f20f2da9304abb1a4edd4ae93c | [
"MIT"
] | null | null | null | import numpy as np
class KNN:
"""
K-neariest-neighbor classifier using L1 loss
"""
def __init__(self, k=1):
self.k = k
def fit(self, X, y):
self.train_X = X
self.train_y = y
def predict(self, X, num_loops=0):
'''
Uses the KNN model to predict clases f... | 35.186335 | 96 | 0.593469 | import numpy as np
class KNN:
def __init__(self, k=1):
self.k = k
def fit(self, X, y):
self.train_X = X
self.train_y = y
def predict(self, X, num_loops=0):
if num_loops == 0:
dists = self.compute_distances_no_loops(X)
elif num_loops == 1:
... | true | true |
1c28e555dbd199717795ab9432e956d14bd13e61 | 3,643 | py | Python | datasets/mnist.py | rohitgirdhar/ActionVLAD | 0d87b69d3069db3fe521923675e353f755c5d765 | [
"Apache-2.0"
] | 228 | 2017-05-08T04:50:49.000Z | 2021-12-23T10:57:52.000Z | datasets/mnist.py | icyzhang0923/ActionVLAD | 08d3d65301940991e0a0cdca2c0534edf6749f41 | [
"Apache-2.0"
] | 39 | 2017-05-12T05:23:46.000Z | 2021-03-21T03:40:02.000Z | datasets/mnist.py | icyzhang0923/ActionVLAD | 08d3d65301940991e0a0cdca2c0534edf6749f41 | [
"Apache-2.0"
] | 84 | 2017-05-08T01:11:25.000Z | 2021-06-03T09:37:36.000Z | # ------------------------------------------------------------------------------
# ActionVLAD: Learning spatio-temporal aggregation for action classification
# Copyright (c) 2017 Carnegie Mellon University and Adobe Systems Incorporated
# Please see LICENSE on https://github.com/rohitgirdhar/ActionVLAD/ for details
# -... | 35.028846 | 80 | 0.693385 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
from datasets import dataset_utils
slim = tf.contrib.slim
_FILE_PATTERN = 'mnist_%s.tfrecord'
_SPLITS_TO_SIZES = {'train': 60000, 'test': 10000}
_NUM_C... | true | true |
1c28e83259edda8b65fa317e5d0384c00899b62a | 3,933 | py | Python | test/MiscLib/tests/TestScanFiles.py | mkozuharov/DataStage | a61e67c901c2b43afa0fec6a99ef72152391a55f | [
"MIT"
] | 8 | 2015-02-25T10:58:52.000Z | 2020-04-17T03:11:48.000Z | test/MiscLib/tests/TestScanFiles.py | mkozuharov/DataStage | a61e67c901c2b43afa0fec6a99ef72152391a55f | [
"MIT"
] | null | null | null | test/MiscLib/tests/TestScanFiles.py | mkozuharov/DataStage | a61e67c901c2b43afa0fec6a99ef72152391a55f | [
"MIT"
] | 7 | 2015-02-25T10:58:54.000Z | 2019-11-04T16:19:22.000Z | # ---------------------------------------------------------------------
#
# Copyright (c) 2012 University of Oxford
#
# 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, incl... | 39.727273 | 111 | 0.668955 |
import sys
import unittest
import re
from os.path import normpath
sys.path.append("../..")
from MiscLib.ScanFiles import *
from MiscLib.Functions import compareLists
class TestScanFiles(unittest.TestCase):
def setUp(self):
self.testpath = "resources/"
self.testpatt =... | true | true |
1c28e8867cb298b05a45e4ad4e3868b665847d04 | 2,650 | py | Python | opendbc/can/tests/test_packer_parser.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 85 | 2019-06-14T17:51:31.000Z | 2022-02-09T22:18:20.000Z | opendbc/can/tests/test_packer_parser.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 4 | 2018-12-08T19:02:06.000Z | 2019-09-01T13:54:26.000Z | opendbc/can/tests/test_packer_parser.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 73 | 2018-12-03T19:34:42.000Z | 2020-07-27T05:10:23.000Z | #!/usr/bin/env python3
import unittest
from opendbc.can.parser import CANParser
from opendbc.can.packer import CANPacker
import cereal.messaging as messaging
# Python implementation so we don't have to depend on boardd
def can_list_to_can_capnp(can_msgs, msgtype='can'):
dat = messaging.new_message()
dat.init(ms... | 25 | 93 | 0.626038 |
import unittest
from opendbc.can.parser import CANParser
from opendbc.can.packer import CANPacker
import cereal.messaging as messaging
def can_list_to_can_capnp(can_msgs, msgtype='can'):
dat = messaging.new_message()
dat.init(msgtype, len(can_msgs))
for i, can_msg in enumerate(can_msgs):
if msgtype == ... | true | true |
1c28e88fd554392b7578028583827bb82f1fcb30 | 1,386 | py | Python | tests/providers/google/cloud/operators/test_workflows_system.py | ChaseKnowlden/airflow | 6b71eac1997a7c0db3b8e3aed6b4e65d01871440 | [
"Apache-2.0"
] | 15,947 | 2019-01-05T13:51:02.000Z | 2022-03-31T23:33:16.000Z | tests/providers/google/cloud/operators/test_workflows_system.py | ChaseKnowlden/airflow | 6b71eac1997a7c0db3b8e3aed6b4e65d01871440 | [
"Apache-2.0"
] | 14,603 | 2019-01-05T09:43:19.000Z | 2022-03-31T23:11:59.000Z | tests/providers/google/cloud/operators/test_workflows_system.py | ChaseKnowlden/airflow | 6b71eac1997a7c0db3b8e3aed6b4e65d01871440 | [
"Apache-2.0"
] | 8,429 | 2019-01-05T19:45:47.000Z | 2022-03-31T22:13:01.000Z | #
# 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... | 38.5 | 103 | 0.779942 |
import pytest
from tests.providers.google.cloud.utils.gcp_authenticator import GCP_WORKFLOWS_KEY
from tests.test_utils.gcp_system_helpers import CLOUD_DAG_FOLDER, GoogleSystemTest, provide_gcp_context
@pytest.mark.system("google.cloud")
@pytest.mark.credential_file(GCP_WORKFLOWS_KEY)
class CloudVisi... | true | true |
1c28e8bcb12175bf9c70588b23a2f0811f1f9a91 | 17,078 | py | Python | retopoflow/rftool_polystrips/polystrips_ops.py | Unnoen/retopoflow | 73c7cfc10a0b58937198d60e308ba5248b446490 | [
"OML"
] | 1 | 2022-01-10T23:40:21.000Z | 2022-01-10T23:40:21.000Z | retopoflow/rftool_polystrips/polystrips_ops.py | Unnoen/retopoflow | 73c7cfc10a0b58937198d60e308ba5248b446490 | [
"OML"
] | null | null | null | retopoflow/rftool_polystrips/polystrips_ops.py | Unnoen/retopoflow | 73c7cfc10a0b58937198d60e308ba5248b446490 | [
"OML"
] | null | null | null | '''
Copyright (C) 2021 CG Cookie
http://cgcookie.com
hello@cgcookie.com
Created by Jonathan Denning, Jonathan Williamson, and Patrick Moore
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation... | 41.755501 | 128 | 0.549479 |
import math
from mathutils import Vector
from mathutils.geometry import intersect_point_tri_2d, intersect_point_tri_2d
from ..rftool import RFTool
from ...addon_common.common.bezier import CubicBezierSpline, CubicBezier
from ...addon_common.common.debug import dprint
from ...addon_common.common.drawing import Drawin... | true | true |
1c28e920f88618a9674d2ff13cef322ba9f307f8 | 9,949 | py | Python | sdk/python/pulumi_azure_nextgen/network/v20190701/get_inbound_nat_rule.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/network/v20190701/get_inbound_nat_rule.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/network/v20190701/get_inbound_nat_rule.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # 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
from ... import _utilities, _tables
from... | 43.445415 | 289 | 0.682883 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'GetInboundNatRuleResult',
'AwaitableGetInboundNatRuleResult',
'get_inbound_nat_rule',
]
@pulumi.output_type
class GetInb... | true | true |
1c28eabf8a78b41e6a9d6a9092a0d6c638ec0182 | 8,684 | py | Python | tests/test_check_config.py | tousix/faucet | 63ec37f9007075afd154589464e99e463382f97b | [
"Apache-2.0"
] | null | null | null | tests/test_check_config.py | tousix/faucet | 63ec37f9007075afd154589464e99e463382f97b | [
"Apache-2.0"
] | null | null | null | tests/test_check_config.py | tousix/faucet | 63ec37f9007075afd154589464e99e463382f97b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (C) 2015 Brad Cowie, Christopher Lorier and Joe Stringer.
# Copyright (C) 2015 Research and Innovation Advanced Network New Zealand Ltd.
# Copyright (C) 2015--2017 The Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | 25.391813 | 97 | 0.583372 |
import logging
import os
import shutil
import tempfile
import unittest
import re
from faucet import check_faucet_config
class CheckConfigTestCase(unittest.TestCase):
def setUp(self):
self.tmpdir = tempfile.mkdtemp()
def tearDown(self):
shutil.rmtree(self.tmpdir)
def r... | true | true |
1c28ee2fc5f6f50b7369f2bf4b21b8351e37c5ee | 3,639 | py | Python | lib/geomet/util.py | davasqueza/eriskco_conector_CloudSQL | 99304b5eed06e9bba3646535a82d7fc98b0838b7 | [
"Apache-2.0"
] | null | null | null | lib/geomet/util.py | davasqueza/eriskco_conector_CloudSQL | 99304b5eed06e9bba3646535a82d7fc98b0838b7 | [
"Apache-2.0"
] | null | null | null | lib/geomet/util.py | davasqueza/eriskco_conector_CloudSQL | 99304b5eed06e9bba3646535a82d7fc98b0838b7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Lars Butler & individual contributors
#
# 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... | 32.491071 | 79 | 0.583402 |
import itertools
import six
def block_splitter(data, block_size):
buf = []
for i, datum in enumerate(data):
buf.append(datum)
if len(buf) == block_size:
yield buf
buf = []
# yield it as well.
if buf:
yield buf
def take(n, iterable):
... | true | true |
1c28ee8c02c4f1aa38ae9f9684b8589cc9e3b1c4 | 2,111 | py | Python | taggable/taggable_sequence.py | ville-k/taggable | d37ecdfba5bc09277f19ea51344ad2ea3ae100f2 | [
"MIT"
] | null | null | null | taggable/taggable_sequence.py | ville-k/taggable | d37ecdfba5bc09277f19ea51344ad2ea3ae100f2 | [
"MIT"
] | null | null | null | taggable/taggable_sequence.py | ville-k/taggable | d37ecdfba5bc09277f19ea51344ad2ea3ae100f2 | [
"MIT"
] | null | null | null | class TaggedSegment(object):
def __init__(self, start, end, name, tag):
self.start_ = start
self.end_ = end
self.name_ = name
self.tag_ = tag
@property
def start(self):
"""Starting offset of the segment"""
return self.start_
@property
def end(self):
... | 25.433735 | 81 | 0.57603 | class TaggedSegment(object):
def __init__(self, start, end, name, tag):
self.start_ = start
self.end_ = end
self.name_ = name
self.tag_ = tag
@property
def start(self):
return self.start_
@property
def end(self):
return self.end_
@property
d... | true | true |
1c28f1f90fb7d591507053a23011b216f8251c87 | 2,721 | py | Python | scripts/BRC_microarray/USA/rank_clusters_without_GCN_and_local_modules.py | omarmaddouri/GCNCC_cross_validated | 89576ad2c8459f065604656fd38a786d042f09e0 | [
"MIT"
] | 1 | 2022-03-12T13:34:34.000Z | 2022-03-12T13:34:34.000Z | scripts/BRC_microarray/USA/rank_clusters_without_GCN_and_local_modules.py | omarmaddouri/GCNCC_cross_validated | 89576ad2c8459f065604656fd38a786d042f09e0 | [
"MIT"
] | 3 | 2022-02-09T23:28:07.000Z | 2022-02-11T19:08:53.000Z | scripts/BRC_microarray/USA/rank_clusters_without_GCN_and_local_modules.py | omarmaddouri/GCNCC_cross_validated | 89576ad2c8459f065604656fd38a786d042f09e0 | [
"MIT"
] | null | null | null | import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
from BRC_microarray.USA.utils import *
path="../../data/BRC_microarray/output/USA/"
dataset="PPI"
features = np.genfromtxt("{}{}.GE_Features.txt".format(path, dataset), dtype=np.dtype(np.float32))
labels = get_clinica... | 42.515625 | 129 | 0.702683 | import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
from BRC_microarray.USA.utils import *
path="../../data/BRC_microarray/output/USA/"
dataset="PPI"
features = np.genfromtxt("{}{}.GE_Features.txt".format(path, dataset), dtype=np.dtype(np.float32))
labels = get_clinica... | true | true |
1c28f21017e2b15693be28d6fa6d86f690eacde0 | 9,107 | py | Python | modoboa/core/api/v2/serializers.py | suryatmodulus/modoboa | f8164a9bbe1e5bfa7f1a1f8813a3790ebf3397ee | [
"ISC"
] | null | null | null | modoboa/core/api/v2/serializers.py | suryatmodulus/modoboa | f8164a9bbe1e5bfa7f1a1f8813a3790ebf3397ee | [
"ISC"
] | 2 | 2022-03-02T10:35:51.000Z | 2022-03-07T10:32:48.000Z | modoboa/core/api/v2/serializers.py | jammo-nl/modoboa | ccf926c1c5e079420f4bd6fe037f83782f842af5 | [
"ISC"
] | null | null | null | """Core API v2 serializers."""
from django.utils import formats
from django.utils.translation import ugettext_lazy, ugettext as _
from django.contrib.auth import password_validation
import django_otp
from rest_framework import serializers
from modoboa.lib import fields as lib_fields
from ... import constants
from ... | 38.753191 | 80 | 0.681344 |
from django.utils import formats
from django.utils.translation import ugettext_lazy, ugettext as _
from django.contrib.auth import password_validation
import django_otp
from rest_framework import serializers
from modoboa.lib import fields as lib_fields
from ... import constants
from ... import models
from ... impo... | true | true |
1c28f23cd57f67e8bd5a73d261ce5f8aa234a8b4 | 7,891 | py | Python | napari_plot/_qt/layer_controls/qt_region_controls.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | 13 | 2021-08-27T23:01:09.000Z | 2022-03-22T13:51:35.000Z | napari_plot/_qt/layer_controls/qt_region_controls.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | 71 | 2021-08-28T13:29:17.000Z | 2022-03-28T21:22:12.000Z | napari_plot/_qt/layer_controls/qt_region_controls.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | null | null | null | """Scatter layer controls"""
import typing as ty
import numpy as np
from napari._qt.utils import disable_with_opacity, qt_signals_blocked
from napari._qt.widgets.qt_color_swatch import QColorSwatchEdit
from qtpy.QtCore import Slot
from qtpy.QtWidgets import QButtonGroup, QHBoxLayout
from ...layers.region._region_cons... | 38.871921 | 109 | 0.659105 | import typing as ty
import numpy as np
from napari._qt.utils import disable_with_opacity, qt_signals_blocked
from napari._qt.widgets.qt_color_swatch import QColorSwatchEdit
from qtpy.QtCore import Slot
from qtpy.QtWidgets import QButtonGroup, QHBoxLayout
from ...layers.region._region_constants import Mode
from .. imp... | true | true |
1c28f2b7a5432dbab583604b0585d43515564b43 | 5,726 | py | Python | selfdrive/controls/lib/longitudinal_planner.py | doudoune144/openpilot | 25fbad410d51e48d9189d5b3ef8a05a6e75f037c | [
"MIT"
] | null | null | null | selfdrive/controls/lib/longitudinal_planner.py | doudoune144/openpilot | 25fbad410d51e48d9189d5b3ef8a05a6e75f037c | [
"MIT"
] | null | null | null | selfdrive/controls/lib/longitudinal_planner.py | doudoune144/openpilot | 25fbad410d51e48d9189d5b3ef8a05a6e75f037c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import math
import numpy as np
from common.numpy_fast import interp
import cereal.messaging as messaging
from common.conversions import Conversions as CV
from common.filter_simple import FirstOrderFilter
from common.realtime import DT_MDL
from selfdrive.modeld.constants import T_IDXS
from selfdr... | 39.763889 | 108 | 0.748865 |
import math
import numpy as np
from common.numpy_fast import interp
import cereal.messaging as messaging
from common.conversions import Conversions as CV
from common.filter_simple import FirstOrderFilter
from common.realtime import DT_MDL
from selfdrive.modeld.constants import T_IDXS
from selfdrive.controls.lib.longc... | true | true |
1c28f2c1718bce4d19f1797cb71c8799354a58c9 | 984 | py | Python | aiotdlib/api/functions/get_chat_available_message_senders.py | mostafa-arshadi/aiotdlib | 59f430a65dfb424fc69d471a0d7bcd77ad7acf08 | [
"MIT"
] | 37 | 2021-05-04T10:41:41.000Z | 2022-03-30T13:48:05.000Z | aiotdlib/api/functions/get_chat_available_message_senders.py | mostafa-arshadi/aiotdlib | 59f430a65dfb424fc69d471a0d7bcd77ad7acf08 | [
"MIT"
] | 13 | 2021-07-17T19:54:51.000Z | 2022-02-26T06:50:00.000Z | aiotdlib/api/functions/get_chat_available_message_senders.py | mostafa-arshadi/aiotdlib | 59f430a65dfb424fc69d471a0d7bcd77ad7acf08 | [
"MIT"
] | 7 | 2021-09-22T21:27:11.000Z | 2022-02-20T02:33:19.000Z | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# ... | 35.142857 | 92 | 0.473577 | from __future__ import annotations
from pydantic import Field
from ..base_object import BaseObject
class GetChatAvailableMessageSenders(BaseObject):
ID: str = Field("getChatAvailableMessageSenders", alias="@type")
chat_id: int
@staticmethod
def read(q: dict) -> GetChatAvailableMessageSenders:
... | true | true |
1c28f3271abd22a7178ea74187915a2c5b4ee1d3 | 1,647 | py | Python | lib/plot.py | Hser2bio/ViLight | e8c4179d13178fe61796e8f9ae264e697d599664 | [
"MIT"
] | 1 | 2021-06-08T20:06:34.000Z | 2021-06-08T20:06:34.000Z | lib/plot.py | Hser2bio/ViLight | e8c4179d13178fe61796e8f9ae264e697d599664 | [
"MIT"
] | 6 | 2019-12-01T23:58:20.000Z | 2020-07-24T17:30:10.000Z | lib/plot.py | Hser2bio/ViLight | e8c4179d13178fe61796e8f9ae264e697d599664 | [
"MIT"
] | 3 | 2020-01-09T08:17:25.000Z | 2020-09-15T01:04:41.000Z | from PyQt5.QtGui import *
from .i18n import _
import datetime
from collections import defaultdict
from .bitcoin import COIN
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import matplotlib.dates as md
from matplotlib.patches import Ellipse
from matplotlib.offsetbox import AnchoredOffsetbo... | 31.075472 | 82 | 0.66606 | from PyQt5.QtGui import *
from .i18n import _
import datetime
from collections import defaultdict
from .bitcoin import COIN
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import matplotlib.dates as md
from matplotlib.patches import Ellipse
from matplotlib.offsetbox import AnchoredOffsetbo... | true | true |
1c28f38d3a34816eab8dfd50f1ea367d5494f2ae | 54 | py | Python | armory/baseline_models/__init__.py | KyleBittner/armory | 7e403d6aa9f8f60f34365de06cd990697a1c5b1c | [
"MIT"
] | 93 | 2020-02-11T23:10:15.000Z | 2022-03-29T23:28:24.000Z | armory/baseline_models/__init__.py | KyleBittner/armory | 7e403d6aa9f8f60f34365de06cd990697a1c5b1c | [
"MIT"
] | 834 | 2020-02-10T15:43:39.000Z | 2022-03-31T17:57:41.000Z | armory/baseline_models/__init__.py | KyleBittner/armory | 7e403d6aa9f8f60f34365de06cd990697a1c5b1c | [
"MIT"
] | 57 | 2020-02-10T15:20:15.000Z | 2022-03-18T04:32:21.000Z | """
Baseline models for use in the ARMORY system.
"""
| 13.5 | 45 | 0.685185 | true | true | |
1c28f579c8a79bff36a33c83259ab8c21f7a25d8 | 672 | py | Python | orm/__init__.py | theikkila/lopputili | 25842e54a272f12ae6bdafeb98c676da396cddf2 | [
"MIT"
] | null | null | null | orm/__init__.py | theikkila/lopputili | 25842e54a272f12ae6bdafeb98c676da396cddf2 | [
"MIT"
] | null | null | null | orm/__init__.py | theikkila/lopputili | 25842e54a272f12ae6bdafeb98c676da396cddf2 | [
"MIT"
] | null | null | null | import os
from . import query
from . import sql
from sqlite3 import OperationalError
from psycopg2 import ProgrammingError
Database = sql.Database
Query = query.Query
class ORM:
def __init__(self, dburi="sqlite://local.db"):
self.models = []
self.nmodels = {}
self.dburi = dburi
self.db = Database(self.dbu... | 19.764706 | 47 | 0.723214 | import os
from . import query
from . import sql
from sqlite3 import OperationalError
from psycopg2 import ProgrammingError
Database = sql.Database
Query = query.Query
class ORM:
def __init__(self, dburi="sqlite://local.db"):
self.models = []
self.nmodels = {}
self.dburi = dburi
self.db = Database(self.dbu... | true | true |
1c28f606b3b20c8e8e1e291414b44c3095855346 | 561 | py | Python | kwat/significance/get_p_value_and_q_value.py | KwatME/ccal | d96dfa811482eee067f346386a2181ec514625f4 | [
"MIT"
] | 5 | 2017-05-05T17:50:28.000Z | 2019-01-30T19:23:02.000Z | kwat/significance/get_p_value_and_q_value.py | KwatME/ccal | d96dfa811482eee067f346386a2181ec514625f4 | [
"MIT"
] | 5 | 2017-05-05T01:52:31.000Z | 2019-04-20T21:06:05.000Z | kwat/significance/get_p_value_and_q_value.py | KwatME/ccal | d96dfa811482eee067f346386a2181ec514625f4 | [
"MIT"
] | 5 | 2017-07-17T18:55:54.000Z | 2019-02-02T04:46:19.000Z | from numpy import array, where
from .get_p_value import get_p_value
from .get_q_value import get_q_value
def get_p_value_and_q_value(ve, ra_, di):
if "<" in di:
pl_ = array([get_p_value(nu, ra_, "<") for nu in ve])
ql_ = get_q_value(pl_)
if ">" in di:
pr_ = array([get_p_value(nu,... | 17.53125 | 69 | 0.559715 | from numpy import array, where
from .get_p_value import get_p_value
from .get_q_value import get_q_value
def get_p_value_and_q_value(ve, ra_, di):
if "<" in di:
pl_ = array([get_p_value(nu, ra_, "<") for nu in ve])
ql_ = get_q_value(pl_)
if ">" in di:
pr_ = array([get_p_value(nu,... | true | true |
1c28f6b12f7f6b5d94a6b3d3d64dd6f940a06ceb | 614 | py | Python | loesungen/chapter06/image_scaler.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | loesungen/chapter06/image_scaler.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | loesungen/chapter06/image_scaler.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
from skimage.io import imread, imshow
from skimage.transform import resize
from sys import argv, exit
if len(argv) < 3:
print(f"Verwendung: python3 {argv[0]} BILDDATEI PIXEL")
exit()
image = imread(argv[1], as_gray = True)
height, width = image.shape
if height > width:
star... | 27.909091 | 59 | 0.687296 | import matplotlib.pyplot as plt
from skimage.io import imread, imshow
from skimage.transform import resize
from sys import argv, exit
if len(argv) < 3:
print(f"Verwendung: python3 {argv[0]} BILDDATEI PIXEL")
exit()
image = imread(argv[1], as_gray = True)
height, width = image.shape
if height > width:
star... | true | true |
1c28f6b71ed7ee5ebae276d9dc9864a0698ab643 | 9,393 | py | Python | sdk/schemaregistry/azure-schemaregistry/azure/schemaregistry/_schema_registry_client.py | adriananeci/azure-sdk-for-python | b2bdfe659210998d6d479e73b133b6c51eb2c009 | [
"MIT"
] | 1 | 2021-09-16T02:33:52.000Z | 2021-09-16T02:33:52.000Z | sdk/schemaregistry/azure-schemaregistry/azure/schemaregistry/_schema_registry_client.py | adriananeci/azure-sdk-for-python | b2bdfe659210998d6d479e73b133b6c51eb2c009 | [
"MIT"
] | null | null | null | sdk/schemaregistry/azure-schemaregistry/azure/schemaregistry/_schema_registry_client.py | adriananeci/azure-sdk-for-python | b2bdfe659210998d6d479e73b133b6c51eb2c009 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), ... | 40.141026 | 111 | 0.650271 |
from typing import Any, TYPE_CHECKING, Union
from ._common._constants import SerializationType
from ._common._schema import Schema, SchemaProperties
from ._common._response_handlers import (
_parse_response_schema,
_parse_response_schema_properties,
)
from ._generated._azure_schema_reg... | true | true |
1c28f7120b6e6991f5d52c1a4d628b87c7601372 | 1,081 | py | Python | frontends/pytorch/test/ivalue_import/list.py | raikonenfnu/mlir-npcomp | 29e1b2fe89848d58c9bc07e7df7ce651850a5244 | [
"Apache-2.0"
] | null | null | null | frontends/pytorch/test/ivalue_import/list.py | raikonenfnu/mlir-npcomp | 29e1b2fe89848d58c9bc07e7df7ce651850a5244 | [
"Apache-2.0"
] | null | null | null | frontends/pytorch/test/ivalue_import/list.py | raikonenfnu/mlir-npcomp | 29e1b2fe89848d58c9bc07e7df7ce651850a5244 | [
"Apache-2.0"
] | null | null | null | # -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
class TestModule(torch.nn.Module):
def __init__(self):
... | 31.794118 | 119 | 0.680851 |
import typing
import torch
import torch_mlir
mb = torch_mlir.ModuleBuilder()
class TestModule(torch.nn.Module):
def __init__(self):
super().__init__()
self.l = [1, 2]
test_module = TestModule()
recursivescriptmodule = torch.jit.script(test_module)
mb.import_module(recursivescrip... | true | true |
1c28f72ac2d29f808b698a9ec04a65bc825beeb4 | 19,595 | py | Python | vm_manager/vm_manager.py | dupremathieu/vm_manager | 7301675e57e376617669d80e6994cf855e5054da | [
"Apache-2.0"
] | null | null | null | vm_manager/vm_manager.py | dupremathieu/vm_manager | 7301675e57e376617669d80e6994cf855e5054da | [
"Apache-2.0"
] | null | null | null | vm_manager/vm_manager.py | dupremathieu/vm_manager | 7301675e57e376617669d80e6994cf855e5054da | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2021, RTE (http://www.rte-france.com)
# SPDX-License-Identifier: Apache-2.0
import os
import logging
import uuid
import re
import datetime
from errno import ENOENT
import xml.etree.ElementTree as ET
from vm_manager.helpers.rbd_manager import RbdManager
from vm_manager.helpers.pacemaker import Pacemake... | 30.521807 | 78 | 0.604083 |
import os
import logging
import uuid
import re
import datetime
from errno import ENOENT
import xml.etree.ElementTree as ET
from vm_manager.helpers.rbd_manager import RbdManager
from vm_manager.helpers.pacemaker import Pacemaker
from vm_manager.helpers.libvirt import LibVirtManager
XML_PACEMAKER_PATH = "/etc/pacema... | true | true |
1c28f77129fd6a7fe81e559198a0b7b7b48720e7 | 11,092 | py | Python | tensorkit/distributions/categorical.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | null | null | null | tensorkit/distributions/categorical.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | null | null | null | tensorkit/distributions/categorical.py | lizeyan/tensorkit | 2997a5914ec3c3ec72f91eb5906b5ee878fdc020 | [
"MIT"
] | null | null | null | from typing import *
from .. import tensor as T
from ..stochastic import StochasticTensor
from ..typing_ import *
from .base import Distribution
from .utils import copy_distribution, check_tensor_arg_types
__all__ = ['BaseCategorical', 'Categorical', 'OneHotCategorical']
class BaseCategorical(Distribution):
co... | 37.6 | 84 | 0.577804 | from typing import *
from .. import tensor as T
from ..stochastic import StochasticTensor
from ..typing_ import *
from .base import Distribution
from .utils import copy_distribution, check_tensor_arg_types
__all__ = ['BaseCategorical', 'Categorical', 'OneHotCategorical']
class BaseCategorical(Distribution):
co... | true | true |
1c28f88e50934dd0d15e6e82a50230d807d87ab6 | 28 | py | Python | src/type_conflict.py | sverres/pana | ca78d319e6eef5aabd319bf5f7f6120d6e95ebe4 | [
"MIT"
] | null | null | null | src/type_conflict.py | sverres/pana | ca78d319e6eef5aabd319bf5f7f6120d6e95ebe4 | [
"MIT"
] | null | null | null | src/type_conflict.py | sverres/pana | ca78d319e6eef5aabd319bf5f7f6120d6e95ebe4 | [
"MIT"
] | null | null | null | a = 1
b = 'B'
print(a + b)
| 5.6 | 12 | 0.392857 | a = 1
b = 'B'
print(a + b)
| true | true |
1c28f8d8ab478d8a76cea7d142018e1718c54829 | 12,410 | py | Python | docs/conf.py | LaudateCorpus1/python-analytics-admin | 2ec0a0b648edcfb3b76bf847a4463cbb551e1997 | [
"Apache-2.0"
] | 10 | 2020-09-19T18:31:20.000Z | 2022-03-07T22:45:53.000Z | docs/conf.py | LaudateCorpus1/python-analytics-admin | 2ec0a0b648edcfb3b76bf847a4463cbb551e1997 | [
"Apache-2.0"
] | 63 | 2020-07-21T12:17:34.000Z | 2022-03-07T17:30:51.000Z | docs/conf.py | LaudateCorpus1/python-analytics-admin | 2ec0a0b648edcfb3b76bf847a4463cbb551e1997 | [
"Apache-2.0"
] | 6 | 2020-07-20T18:10:41.000Z | 2022-03-24T20:23:44.000Z | # -*- coding: utf-8 -*-
# Copyright 2021 Google LLC
#
# 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 agr... | 32.486911 | 88 | 0.705157 |
import sys
import os
import shlex
sys.path.insert(0, os.path.abspath(".."))
sys.path.insert(0, os.path.abspath("."))
__version__ = ""
needs_sphinx = "1.5.5"
extensions = [
"sphinx.ext.autodoc",
"sphinx.ext.autosummary",
"sphinx.ext.intersphinx",
"sphinx.ext.cove... | true | true |
1c28f910bcc8fda0dacc431ef45914f6b87443d5 | 8,501 | py | Python | heat/tests/test_dependencies.py | NeCTAR-RC/heat | b152817f192a7b46514793633ddc968c1fe1ebf8 | [
"Apache-2.0"
] | 1 | 2015-02-26T03:23:23.000Z | 2015-02-26T03:23:23.000Z | heat/tests/test_dependencies.py | NeCTAR-RC/heat | b152817f192a7b46514793633ddc968c1fe1ebf8 | [
"Apache-2.0"
] | null | null | null | heat/tests/test_dependencies.py | NeCTAR-RC/heat | b152817f192a7b46514793633ddc968c1fe1ebf8 | [
"Apache-2.0"
] | null | null | null |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... | 38.292793 | 79 | 0.493707 |
import testtools
from heat.engine.dependencies import CircularDependencyException
from heat.engine.dependencies import Dependencies
class dependenciesTest(testtools.TestCase):
def _dep_test(self, func, checkorder, deps):
nodes = set.union(*[set(e) for e in deps])
d = Dependencies(... | true | true |
1c28f9575d62cfd39da895618df13afe159a2850 | 1,973 | py | Python | appscale/cloud_storage/config.py | AppScale/appscale-cloud-storage | 2d19cf5555f8f38a66f8bb6b7ba2532a9f262ec4 | [
"Apache-2.0"
] | 6 | 2016-09-23T17:56:53.000Z | 2022-02-02T08:33:08.000Z | appscale/cloud_storage/config.py | AppScale/appscale-cloud-storage | 2d19cf5555f8f38a66f8bb6b7ba2532a9f262ec4 | [
"Apache-2.0"
] | 2 | 2019-08-16T15:43:38.000Z | 2019-09-23T16:38:25.000Z | appscale/cloud_storage/config.py | AppScale/appscale-cloud-storage | 2d19cf5555f8f38a66f8bb6b7ba2532a9f262ec4 | [
"Apache-2.0"
] | 6 | 2016-09-23T17:56:58.000Z | 2021-06-08T09:44:12.000Z | import string
# The number of characters in an access token.
ACCESS_TOKEN_LENGTH = 77
# A reserved Riak KV bucket used for storing bucket metadata.
METADATA_BUCKET = 'appscale-cloud-storage-bucket-metadata'
# A reserved Riak KV bucket used for storing authentication tokens.
TOKEN_BUCKET = 'appscale-cloud-storage-aut... | 34.017241 | 78 | 0.776989 | import string
ACCESS_TOKEN_LENGTH = 77
METADATA_BUCKET = 'appscale-cloud-storage-bucket-metadata'
TOKEN_BUCKET = 'appscale-cloud-storage-auth-tokens'
UPLOAD_SESSION_BUCKET = 'appscale-cloud-storage-upload-ids'
OBJECT_METADATA_BUCKET = 'appscale-cloud-storage-object-metadata'
RIAK_KV_HOST = 'localhost'
RIA... | true | true |
1c28f9d2b182e60b509032c0af4c9618f66d15c5 | 3,262 | py | Python | code/mean_var_bt.py | Rockysed/PSC_classification | 1815b673ac9374d9d2abd08ba0f1f43597316dee | [
"MIT"
] | null | null | null | code/mean_var_bt.py | Rockysed/PSC_classification | 1815b673ac9374d9d2abd08ba0f1f43597316dee | [
"MIT"
] | null | null | null | code/mean_var_bt.py | Rockysed/PSC_classification | 1815b673ac9374d9d2abd08ba0f1f43597316dee | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 25 14:52:43 2019
@author: rocco
"""
import pandas as pd
import h5py
import numpy as np
import os
import matplotlib.pyplot as plt
#load cdsdb
new_file = h5py.File("../data/csdb_bt/csdb_bt.h5", "r")
bt_csdb = new_file["bt"][:]
new_file.close()
#compute mean a... | 31.365385 | 71 | 0.69252 |
import pandas as pd
import h5py
import numpy as np
import os
import matplotlib.pyplot as plt
new_file = h5py.File("../data/csdb_bt/csdb_bt.h5", "r")
bt_csdb = new_file["bt"][:]
new_file.close()
df_bt_csdb = pd.DataFrame(bt_csdb)
mean_bt_csdb = df_bt_csdb.mean()
var_bt_csdb = df_bt_csdb.var()
directory =... | true | true |
1c28f9dd3e0b345ab6529d91432a9f227c3fdb58 | 182 | py | Python | sfswitch/__init__.py | dcs-dev/sfswitch | b45c6e34d23cb735327d591363e5f321e2f023da | [
"Unlicense"
] | null | null | null | sfswitch/__init__.py | dcs-dev/sfswitch | b45c6e34d23cb735327d591363e5f321e2f023da | [
"Unlicense"
] | null | null | null | sfswitch/__init__.py | dcs-dev/sfswitch | b45c6e34d23cb735327d591363e5f321e2f023da | [
"Unlicense"
] | null | null | null | # This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from celeryapp.celery import app as celery_app
__all__ = ('celery_app',) | 36.4 | 54 | 0.78022 |
from celeryapp.celery import app as celery_app
__all__ = ('celery_app',) | true | true |
1c28f9f41b08022e6fe5a03c3fc4cc7ffc287aac | 2,388 | py | Python | asyncspinner/__init__.py | Hegdahl/asyncspinner | d844494d6d38fdc8be5ed5da2bb007fdf47aa900 | [
"MIT"
] | null | null | null | asyncspinner/__init__.py | Hegdahl/asyncspinner | d844494d6d38fdc8be5ed5da2bb007fdf47aa900 | [
"MIT"
] | null | null | null | asyncspinner/__init__.py | Hegdahl/asyncspinner | d844494d6d38fdc8be5ed5da2bb007fdf47aa900 | [
"MIT"
] | null | null | null | '''
Little graphic to show user that something is waited for when
a progress bar is overkill, or the progress is unknown.
'''
import sys
import asyncio
import colorama
import cursor
colorama.init()
from . import styles
_DOTS = (' ', '. ', '.. ', '...')
def _on_line_below(s):
return f'\n{colorama.ansi.clear_li... | 29.85 | 101 | 0.587521 | import sys
import asyncio
import colorama
import cursor
colorama.init()
from . import styles
_DOTS = (' ', '. ', '.. ', '...')
def _on_line_below(s):
return f'\n{colorama.ansi.clear_line()}{s}{colorama.Cursor.UP(1)}\r\033[K'
class Spinner:
def __init__(self, message='', *,
style=styles.... | true | true |
1c28fa966a0112b973099a4ea56afde9dceedc96 | 734 | py | Python | teacher2.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | 1 | 2021-06-07T07:55:28.000Z | 2021-06-07T07:55:28.000Z | teacher2.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | teacher2.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | # Python Program To Use The Teacher Class
'''
Function Name : Using Teacher Class teacher.py In This Program teacher2.py
Function Date : 18 Sep 2020
Function Author : Prasad Dangare
Input : String
Output : String
'''
# Save This Code As teacher2.py
# Using Teacher Class
... | 21.588235 | 81 | 0.644414 |
from teacher import Teacher
t = Teacher()
t.setid(10)
t.setname('Prasad')
t.setaddress('Sanjuda Complex, 412308, Papadewasti, Pune ')
t.setsalary(25000.50)
print('\n Id = ', t.getid())
print('Name = ', t.getname())
print('Address = ', t.getaddress())
print('Salary = ', t.getsalary())
... | true | true |
1c28fb8376fed9b3f3efc0bf3824fa3864f6b27f | 9,748 | py | Python | listener.py | austinmroczek/pauser | 4e81808be98d3495ad93c3270a8a43584b62b8cd | [
"MIT"
] | 1 | 2019-06-30T08:33:34.000Z | 2019-06-30T08:33:34.000Z | listener.py | austinmroczek/pauser | 4e81808be98d3495ad93c3270a8a43584b62b8cd | [
"MIT"
] | null | null | null | listener.py | austinmroczek/pauser | 4e81808be98d3495ad93c3270a8a43584b62b8cd | [
"MIT"
] | null | null | null | #import unicodedata
class Listener:
def __init__(self):
import log
self.myLog = log.Log('listener.log')
# files and paths
self.fileName = 'rectest.wav' # default file name
import os
if not os.path.isfile(self.fileName):
file = open(self.fileName,'w')
... | 36.784906 | 181 | 0.580529 |
class Listener:
def __init__(self):
import log
self.myLog = log.Log('listener.log')
self.fileName = 'rectest.wav'
import os
if not os.path.isfile(self.fileName):
file = open(self.fileName,'w')
file.write("")
file.close() ... | true | true |
1c28fc5e414bdd051ab3641712066443f6c9001c | 518 | py | Python | woodstock/content/event/models.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | woodstock/content/event/models.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | woodstock/content/event/models.py | allink/woodstock | afafecb7c4454f96e51c051044ed8ed74853c048 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from django.template.loader import render_to_string
from woodstock.models import Event
class NextEventsContent(models.Model):
count = models.IntegerField(default=5)
class Meta:
abstract = True
verbose_name = 'Next Events Content'
verbose_name_plural = 'Ne... | 28.777778 | 89 | 0.714286 | from django.db import models
from django.template.loader import render_to_string
from woodstock.models import Event
class NextEventsContent(models.Model):
count = models.IntegerField(default=5)
class Meta:
abstract = True
verbose_name = 'Next Events Content'
verbose_name_plural = 'Ne... | true | true |
1c28fd93f5ad7ee5c0adc0decb7bd4d610de54d7 | 15,866 | py | Python | checker.py | jingliu9/uu-checker | 62ce0dc88b5e6ace72287ace3f64f80027f7fef1 | [
"MIT"
] | null | null | null | checker.py | jingliu9/uu-checker | 62ce0dc88b5e6ace72287ace3f64f80027f7fef1 | [
"MIT"
] | null | null | null | checker.py | jingliu9/uu-checker | 62ce0dc88b5e6ace72287ace3f64f80027f7fef1 | [
"MIT"
] | 1 | 2021-11-20T23:30:23.000Z | 2021-11-20T23:30:23.000Z | #! /usr/bin/env python3
import logging
import os
import argparse
import sys
import subprocess
import re
import random
import json
from pathlib import Path
import gscholar
import time
import bibtex_dblp.dblp_api as dblp_api
import colorama
colorama.init(autoreset=True)
YELLOW = "\x1b[1;33;40m"
class TexSourecFile(... | 39.078818 | 110 | 0.511975 |
import logging
import os
import argparse
import sys
import subprocess
import re
import random
import json
from pathlib import Path
import gscholar
import time
import bibtex_dblp.dblp_api as dblp_api
import colorama
colorama.init(autoreset=True)
YELLOW = "\x1b[1;33;40m"
class TexSourecFile(object):
def __ini... | true | true |
1c28fda9bf26d20d2dda4d5cbe9f293271e72b9d | 8,000 | py | Python | risk_managed/migrations/0001_initial.py | jteppinette/risk-managed | e559575e6104baade42b31cbbfcbe5d4ce64bceb | [
"BSD-2-Clause"
] | 2 | 2019-02-13T07:50:23.000Z | 2022-02-08T08:32:26.000Z | risk_managed/migrations/0001_initial.py | jteppinette/risk-managed | e559575e6104baade42b31cbbfcbe5d4ce64bceb | [
"BSD-2-Clause"
] | 9 | 2020-02-11T23:39:02.000Z | 2021-06-10T17:43:24.000Z | risk_managed/migrations/0001_initial.py | jteppinette/risk-managed | e559575e6104baade42b31cbbfcbe5d4ce64bceb | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 2.2.4 on 2019-08-15 00:27
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 64.516129 | 580 | 0.589875 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | true | true |
1c28fdaacd58f64d415f69df0dee93838147489f | 1,639 | py | Python | tests/experiments/test_targeted_perf.py | suifengzhuliu/impala | 611f4c6f3b18cfcddff3b2956cbb87c295a87655 | [
"Apache-2.0"
] | 1,523 | 2015-01-01T03:42:24.000Z | 2022-02-06T22:24:04.000Z | tests/experiments/test_targeted_perf.py | suifengzhuliu/impala | 611f4c6f3b18cfcddff3b2956cbb87c295a87655 | [
"Apache-2.0"
] | 10 | 2015-01-09T06:46:05.000Z | 2022-03-29T21:57:57.000Z | tests/experiments/test_targeted_perf.py | suifengzhuliu/impala | 611f4c6f3b18cfcddff3b2956cbb87c295a87655 | [
"Apache-2.0"
] | 647 | 2015-01-02T04:01:40.000Z | 2022-03-30T15:57:35.000Z | # 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 u... | 37.25 | 72 | 0.765101 |
from tests.common.impala_test_suite import ImpalaTestSuite
class TestTargetedPerf(ImpalaTestSuite):
@classmethod
def get_workload(cls):
return 'targeted-perf'
@classmethod
def add_test_dimensions(cls):
super(TestTargetedPerf, cls).add_test_dimensions()
cls.ImpalaTestMatrix.ad... | true | true |
1c28fdd360633b1e25956178a65d622003ee2382 | 2,166 | py | Python | calls/create_call_feedback_post_dial_delay.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | 1 | 2018-11-23T20:11:27.000Z | 2018-11-23T20:11:27.000Z | calls/create_call_feedback_post_dial_delay.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | calls/create_call_feedback_post_dial_delay.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | # *** Create Call Feedback for Post Dial Delay ***
# Code based on https://www.twilio.com/docs/voice/api/call-quality-feedback
# Download Python 3 from https://www.python.org/downloads/
# Download the Twilio helper library from https://www.twilio.com/docs/python/install
import os
from twilio.rest import Client
# from d... | 45.125 | 109 | 0.702216 |
import os
from twilio.rest import Client
import logging
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s %(levelname)s %(message)s',
filename='/usr/local/twilio/python3/sdkv6x/calls/logs/call_feedback.log',
filemode='a')
account_sid = os.en... | true | true |
1c28fdf66d484992013b24d958cd3a9a32e5086d | 10,276 | py | Python | code/examples/scripts/21_ML_glacier_wise_weekly_jjas.py | hydrogo/FIT_ML | 4c3f4abd707baf9eb83e061f84d183630264c96b | [
"MIT"
] | null | null | null | code/examples/scripts/21_ML_glacier_wise_weekly_jjas.py | hydrogo/FIT_ML | 4c3f4abd707baf9eb83e061f84d183630264c96b | [
"MIT"
] | null | null | null | code/examples/scripts/21_ML_glacier_wise_weekly_jjas.py | hydrogo/FIT_ML | 4c3f4abd707baf9eb83e061f84d183630264c96b | [
"MIT"
] | 1 | 2020-09-01T14:52:42.000Z | 2020-09-01T14:52:42.000Z | import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import LeaveOneOut
from sklearn.metrics import r2_score
import pickle
glacier_ids = np.load("../results/misc/glacier_ids_valid.npy")
tsl_path = "../results/tsl_csv/"
meteo_path = "../data/FIT_for... | 31.618462 | 126 | 0.595854 | import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import LeaveOneOut
from sklearn.metrics import r2_score
import pickle
glacier_ids = np.load("../results/misc/glacier_ids_valid.npy")
tsl_path = "../results/tsl_csv/"
meteo_path = "../data/FIT_for... | true | true |
1c28ff6a7eb1ffc8e336db7b17181bc68ca6378f | 742 | py | Python | python3/tests/test_valid_number.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | 4 | 2018-03-05T02:27:16.000Z | 2021-03-15T14:19:44.000Z | python3/tests/test_valid_number.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | null | null | null | python3/tests/test_valid_number.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | 2 | 2018-07-22T10:32:10.000Z | 2018-10-20T03:14:28.000Z | from unittest import TestCase
from leetcodepy.valid_number import *
solution1 = Solution1()
solution2 = Solution2()
s1 = "0"
s2 = " 0.1 "
s3 = "abc"
s4 = "1 a"
s5 = "2e10"
class TestValidNumber(TestCase):
def test1(self):
self.assertTrue(solution1.isNumber(s1))
self.assertTrue(solution1.is... | 21.823529 | 48 | 0.67655 | from unittest import TestCase
from leetcodepy.valid_number import *
solution1 = Solution1()
solution2 = Solution2()
s1 = "0"
s2 = " 0.1 "
s3 = "abc"
s4 = "1 a"
s5 = "2e10"
class TestValidNumber(TestCase):
def test1(self):
self.assertTrue(solution1.isNumber(s1))
self.assertTrue(solution1.is... | true | true |
1c28ff6f07fec8d29705c20fde8e9ec0f90428ac | 560 | py | Python | env/Lib/site-packages/plotly/validators/scattersmith/marker/colorbar/_showticksuffix.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 7 | 2022-01-16T12:28:16.000Z | 2022-03-04T15:31:45.000Z | packages/python/plotly/plotly/validators/scattersmith/marker/colorbar/_showticksuffix.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | 14 | 2021-10-20T23:33:47.000Z | 2021-12-21T04:50:37.000Z | packages/python/plotly/plotly/validators/scattersmith/marker/colorbar/_showticksuffix.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | 1 | 2021-11-29T22:55:05.000Z | 2021-11-29T22:55:05.000Z | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="scattersmith.marker.colorbar",
**kwargs
):
super(ShowticksuffixValidator, self).__init__(
... | 31.111111 | 80 | 0.630357 | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="scattersmith.marker.colorbar",
**kwargs
):
super(ShowticksuffixValidator, self).__init__(
... | true | true |
1c28ff824b16eb2c0e61e750c7d3c8e305b1d8a4 | 1,646 | py | Python | setup.py | Datsmir/eris-calibration | 3af4691b948fb076e2bb49bd1e367bd6315beae6 | [
"Apache-2.0"
] | 2 | 2020-09-22T16:41:42.000Z | 2020-09-23T03:40:31.000Z | setup.py | Datsmir/eris-calibration | 3af4691b948fb076e2bb49bd1e367bd6315beae6 | [
"Apache-2.0"
] | null | null | null | setup.py | Datsmir/eris-calibration | 3af4691b948fb076e2bb49bd1e367bd6315beae6 | [
"Apache-2.0"
] | 2 | 2021-02-04T11:38:18.000Z | 2022-01-26T01:50:40.000Z | # Copyright 2020 Norwegian University of Science and Technology.
#
# 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 appl... | 34.291667 | 81 | 0.6452 |
from skbuild import setup
def main():
setup(
name="eris",
version="0.0.0",
description="Hand-eye calibration",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="",
author="Lars Tingelstad",
a... | true | true |
1c28ff97ef23b70c936e39e11d13e5a91dac63c7 | 325 | py | Python | EDGAR/Exercicios_Python2/exer5.py | ygorferreira4g/AulasPython | e582caea4468bf2bc5cabbf8bc7e4b9894d10c81 | [
"MIT"
] | 1 | 2020-08-23T19:41:38.000Z | 2020-08-23T19:41:38.000Z | EDGAR/Exercicios_Python2/exer5.py | ygorferreira4g/AulasPython | e582caea4468bf2bc5cabbf8bc7e4b9894d10c81 | [
"MIT"
] | 2 | 2020-08-24T21:28:10.000Z | 2020-08-28T01:43:33.000Z | EDGAR/Exercicios_Python2/exer5.py | ygorferreira4g/AulasPython | e582caea4468bf2bc5cabbf8bc7e4b9894d10c81 | [
"MIT"
] | 2 | 2020-08-24T21:17:00.000Z | 2020-08-28T01:33:25.000Z | sl1 = float(250)
sl2 = float(130)
sl3 = float(540)
tsl = (sl1 + sl2 + sl3)
print ("total", tsl)
msl = round( tsl/3,2)
print("media", msl)
psl1 = sl1*100/tsl
print("Porcentagem 1: % {:.2f}".format(psl1))
psl2 = sl2*100/tsl
print("Porcentagem 2: %.2f" % (psl2))
psl3 = sl3*100/tsl
print("Porcentagem 3: %.2f" % (psl... | 16.25 | 45 | 0.609231 | sl1 = float(250)
sl2 = float(130)
sl3 = float(540)
tsl = (sl1 + sl2 + sl3)
print ("total", tsl)
msl = round( tsl/3,2)
print("media", msl)
psl1 = sl1*100/tsl
print("Porcentagem 1: % {:.2f}".format(psl1))
psl2 = sl2*100/tsl
print("Porcentagem 2: %.2f" % (psl2))
psl3 = sl3*100/tsl
print("Porcentagem 3: %.2f" % (psl... | true | true |
1c2900cd84bf7cc5b098603e45ab6c07f061369b | 159 | py | Python | SEPT_22_2020/lat3_program_angka_depan_kali_angka_tengah_tambah_belakang.py | refeed/PAlgoritmaTRPLA | e0c79c1d57bee0869e2344651718e8cf053c035f | [
"MIT"
] | null | null | null | SEPT_22_2020/lat3_program_angka_depan_kali_angka_tengah_tambah_belakang.py | refeed/PAlgoritmaTRPLA | e0c79c1d57bee0869e2344651718e8cf053c035f | [
"MIT"
] | null | null | null | SEPT_22_2020/lat3_program_angka_depan_kali_angka_tengah_tambah_belakang.py | refeed/PAlgoritmaTRPLA | e0c79c1d57bee0869e2344651718e8cf053c035f | [
"MIT"
] | null | null | null | nomor = int(input('Masukan angka: '))
ratusan = nomor // 100
puluhan = nomor // 10 % 10
satuan = nomor % 10
hasil = ratusan * puluhan + satuan
print(hasil)
| 15.9 | 37 | 0.654088 | nomor = int(input('Masukan angka: '))
ratusan = nomor // 100
puluhan = nomor // 10 % 10
satuan = nomor % 10
hasil = ratusan * puluhan + satuan
print(hasil)
| true | true |
1c290187ec258896df4b1e9729197603c3a9d6b8 | 17,923 | py | Python | src/pudl/output/eia860.py | rousik/pudl | 7dbaac8af6d3d760a7c918cd9a8488d076d2a150 | [
"MIT"
] | 3 | 2019-06-13T05:21:07.000Z | 2020-11-15T20:02:13.000Z | src/pudl/output/eia860.py | kyleries/pudl | 52db209ff83d1b2c8ef0f93d599a844f12a715ef | [
"MIT"
] | null | null | null | src/pudl/output/eia860.py | kyleries/pudl | 52db209ff83d1b2c8ef0f93d599a844f12a715ef | [
"MIT"
] | null | null | null | """Functions for pulling data primarily from the EIA's Form 860."""
# import datetime
import pandas as pd
import sqlalchemy as sa
import pudl
def utilities_eia860(pudl_engine, start_date=None, end_date=None):
"""Pull all fields from the EIA860 Utilities table.
Args:
pudl_engine (sqlalchemy.engine.... | 37.339583 | 79 | 0.648385 |
import pandas as pd
import sqlalchemy as sa
import pudl
def utilities_eia860(pudl_engine, start_date=None, end_date=None):
pt = pudl.output.pudltabl.get_table_meta(pudl_engine)
utils_eia_tbl = pt['utilities_entity_eia']
utils_eia_select = sa.sql.select([utils_eia_tbl])
utils_eia_df = pd.read_... | true | true |
1c29028cb4d3efb128efcf23acca7729705619b0 | 18,275 | py | Python | AppServer/google/appengine/api/logservice/logservice_stub.py | isabella232/scale-safe | 8b887726768106b6b67d7be6ea257bee5cd83f9a | [
"Apache-2.0"
] | null | null | null | AppServer/google/appengine/api/logservice/logservice_stub.py | isabella232/scale-safe | 8b887726768106b6b67d7be6ea257bee5cd83f9a | [
"Apache-2.0"
] | 1 | 2021-06-08T10:04:35.000Z | 2021-06-08T10:04:35.000Z | AppServer/google/appengine/api/logservice/logservice_stub.py | isabella232/scale-safe | 8b887726768106b6b67d7be6ea257bee5cd83f9a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 32.692308 | 80 | 0.699371 |
import os
import time
from google.appengine.api import apiproxy_stub
from google.appengine.api import datastore_errors
from google.appengine.api import logservice
from google.appengine.api import namespace_manager
from google.appengine.api.logservice import log_service_pb
from google.appengine.... | true | true |
1c29038ffba4ce826a2cfe31c6d1bf249f2e8222 | 524 | py | Python | paggcerto/utils/make_enum_json_serializable.py | tassio/paggcerto-python | 48c81d518a46bd06162c878179abcdfb6bdefc8b | [
"Apache-2.0"
] | null | null | null | paggcerto/utils/make_enum_json_serializable.py | tassio/paggcerto-python | 48c81d518a46bd06162c878179abcdfb6bdefc8b | [
"Apache-2.0"
] | null | null | null | paggcerto/utils/make_enum_json_serializable.py | tassio/paggcerto-python | 48c81d518a46bd06162c878179abcdfb6bdefc8b | [
"Apache-2.0"
] | null | null | null | """ Module that monkey-patches the json module when it's imported so
JSONEncoder.default() automatically checks to see if the object being encoded
is an Enum type and, if so, returns its name.
"""
from enum import Enum
from json import JSONEncoder
_saved_default = JSONEncoder().default # Save default method.
def _ne... | 32.75 | 77 | 0.742366 | from enum import Enum
from json import JSONEncoder
_saved_default = JSONEncoder().default
def _new_default(self, obj):
if isinstance(obj, Enum):
return obj.name
else:
return _saved_default
JSONEncoder.default = _new_default | true | true |
1c2903b866e8e6c406cb6bc06c8bd466f4b39373 | 2,534 | py | Python | tests-ext/test_mysql.py | cpflat/amulog | b7a8c7478d2e5253158f0bce3a7f7109d23e40cb | [
"BSD-3-Clause"
] | 5 | 2019-07-03T09:57:30.000Z | 2021-02-13T13:15:47.000Z | tests-ext/test_mysql.py | cpflat/amulog | b7a8c7478d2e5253158f0bce3a7f7109d23e40cb | [
"BSD-3-Clause"
] | null | null | null | tests-ext/test_mysql.py | cpflat/amulog | b7a8c7478d2e5253158f0bce3a7f7109d23e40cb | [
"BSD-3-Clause"
] | 1 | 2021-09-09T02:21:42.000Z | 2021-09-09T02:21:42.000Z | #!/usr/bin/env python
# coding: utf-8
import os
import unittest
import tempfile
from amulog import config
from amulog import log_db
from amulog import manager
from amulog import testutil
class TestMysql(unittest.TestCase):
_path_testlog = None
_path_testdb = None
_path_ltgendump = None
@classmeth... | 32.075949 | 72 | 0.619179 |
import os
import unittest
import tempfile
from amulog import config
from amulog import log_db
from amulog import manager
from amulog import testutil
class TestMysql(unittest.TestCase):
_path_testlog = None
_path_testdb = None
_path_ltgendump = None
@classmethod
def setUpClass(cls):
... | true | true |
1c2905974779e87d3055a734d22e8a0e09552e71 | 1,735 | py | Python | rrcforest/lagfeatures.py | josteinbf/rrcforest | 239eb99f938409a004967624d7253d78f239102e | [
"MIT"
] | null | null | null | rrcforest/lagfeatures.py | josteinbf/rrcforest | 239eb99f938409a004967624d7253d78f239102e | [
"MIT"
] | null | null | null | rrcforest/lagfeatures.py | josteinbf/rrcforest | 239eb99f938409a004967624d7253d78f239102e | [
"MIT"
] | null | null | null | from typing import (
Sequence, Mapping, Deque, Iterable, Generator, Optional, TypeVar, Generic)
import itertools
from collections import deque
T = TypeVar('T')
class LagFeatures(Generic[T]):
_buffer: Deque[Mapping[str, Optional[T]]]
_columns: Sequence[str]
def __init__(self, n_lags: int, columns: S... | 28.442623 | 79 | 0.604611 | from typing import (
Sequence, Mapping, Deque, Iterable, Generator, Optional, TypeVar, Generic)
import itertools
from collections import deque
T = TypeVar('T')
class LagFeatures(Generic[T]):
_buffer: Deque[Mapping[str, Optional[T]]]
_columns: Sequence[str]
def __init__(self, n_lags: int, columns: S... | true | true |
1c29063b790236837dee7c0be449084e1e19fcfd | 331 | py | Python | time.py | chirag043043/python-program | b5b568654632ab05596311af83a974add6a9d9a4 | [
"bzip2-1.0.6"
] | null | null | null | time.py | chirag043043/python-program | b5b568654632ab05596311af83a974add6a9d9a4 | [
"bzip2-1.0.6"
] | null | null | null | time.py | chirag043043/python-program | b5b568654632ab05596311af83a974add6a9d9a4 | [
"bzip2-1.0.6"
] | null | null | null | import time
import datetime
ticks=time.time()
print("no of ticks since 1 jan 1970",ticks)
print(time.localtime())
localtime = time.localtime(time.time())
print ("Local current time :", localtime)
localtime = time.asctime( time.localtime(time.time()) )
print ("Local current time :", localtime)
d=datetime.date(2019,8,20)... | 25.461538 | 55 | 0.73716 | import time
import datetime
ticks=time.time()
print("no of ticks since 1 jan 1970",ticks)
print(time.localtime())
localtime = time.localtime(time.time())
print ("Local current time :", localtime)
localtime = time.asctime( time.localtime(time.time()) )
print ("Local current time :", localtime)
d=datetime.date(2019,8,20)... | true | true |
1c2906e7a39f2dcd74ddea6230f2a05e1e2c9d81 | 153,147 | py | Python | tests/queries/tests.py | benjaoming/django | 6dbe979b4d9396e1b307c7d27388c97c13beb21c | [
"BSD-3-Clause"
] | 1 | 2016-07-30T11:06:37.000Z | 2016-07-30T11:06:37.000Z | tests/queries/tests.py | benjaoming/django | 6dbe979b4d9396e1b307c7d27388c97c13beb21c | [
"BSD-3-Clause"
] | null | null | null | tests/queries/tests.py | benjaoming/django | 6dbe979b4d9396e1b307c7d27388c97c13beb21c | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from collections import OrderedDict
import datetime
from operator import attrgetter
import pickle
import unittest
import warnings
from django.core.exceptions import FieldError
from django.db import connection, DEFAULT_DB_ALIAS
from django.db.models import Count, F, Q
from djang... | 41.889223 | 159 | 0.616695 | from __future__ import unicode_literals
from collections import OrderedDict
import datetime
from operator import attrgetter
import pickle
import unittest
import warnings
from django.core.exceptions import FieldError
from django.db import connection, DEFAULT_DB_ALIAS
from django.db.models import Count, F, Q
from djang... | true | true |
1c29078746a98d58cbdbc10dabc2e3518bddfb1b | 5,375 | py | Python | pages/models.py | andywar65/projetc_repo | a318b36d601a15a1d5e4a9bbc65d7bcbb5ac02ef | [
"BSD-2-Clause"
] | null | null | null | pages/models.py | andywar65/projetc_repo | a318b36d601a15a1d5e4a9bbc65d7bcbb5ac02ef | [
"BSD-2-Clause"
] | 2 | 2021-03-19T17:12:07.000Z | 2021-03-19T17:12:08.000Z | pages/models.py | andywar65/projetc_repo | a318b36d601a15a1d5e4a9bbc65d7bcbb5ac02ef | [
"BSD-2-Clause"
] | null | null | null | import uuid
import json
from django.utils.timezone import now
from django.utils.html import strip_tags
from django.db import models
from django.utils.translation import gettext as _
from django.urls import reverse
from filebrowser.fields import FileBrowseField
from treebeard.mp_tree import MP_Node
from project.utils... | 37.587413 | 81 | 0.628465 | import uuid
import json
from django.utils.timezone import now
from django.utils.html import strip_tags
from django.db import models
from django.utils.translation import gettext as _
from django.urls import reverse
from filebrowser.fields import FileBrowseField
from treebeard.mp_tree import MP_Node
from project.utils... | true | true |
1c29079a2d95418451c76718bdf0f2f8c5d5216f | 65,605 | py | Python | mne/minimum_norm/inverse.py | tangyisheng2/mne-python | 740fcb89b9910ef2fa84cffe402a06b4da643374 | [
"BSD-3-Clause"
] | 3 | 2021-01-04T08:45:56.000Z | 2021-05-19T12:25:59.000Z | mne/minimum_norm/inverse.py | tangyisheng2/mne-python | 740fcb89b9910ef2fa84cffe402a06b4da643374 | [
"BSD-3-Clause"
] | null | null | null | mne/minimum_norm/inverse.py | tangyisheng2/mne-python | 740fcb89b9910ef2fa84cffe402a06b4da643374 | [
"BSD-3-Clause"
] | 2 | 2021-04-28T11:52:52.000Z | 2021-05-05T02:36:32.000Z | # -*- coding: utf-8 -*-
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Matti Hämäläinen <msh@nmr.mgh.harvard.edu>
# Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD (3-clause)
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy import linalg
from ._eloret... | 37.639128 | 100 | 0.592546 |
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy import linalg
from ._eloreta import _compute_eloreta
from ..fixes import _safe_svd
from ..io.base import BaseRaw
from ..io.constants import FIFF
from ..io.open import fiff_open
from ..io.tag import find_tag
from ..io.matrix import (_r... | true | true |
1c290935ff2e8ea9401ec071e84684a33ae5355d | 20,185 | py | Python | tagging/models.py | gdub/django-tagging | aca1d92a5f5474a4b893ae7d200a20cef060fdc5 | [
"BSD-3-Clause"
] | null | null | null | tagging/models.py | gdub/django-tagging | aca1d92a5f5474a4b893ae7d200a20cef060fdc5 | [
"BSD-3-Clause"
] | null | null | null | tagging/models.py | gdub/django-tagging | aca1d92a5f5474a4b893ae7d200a20cef060fdc5 | [
"BSD-3-Clause"
] | 1 | 2015-07-28T09:28:58.000Z | 2015-07-28T09:28:58.000Z | """
Models and managers for generic tagging.
"""
from __future__ import unicode_literals
# Python 2.3 compatibility
try:
set
except NameError:
from sets import Set as set
from django.contrib.contenttypes import generic
from django.contrib.contenttypes.models import ContentType
from django.db import connection,... | 40.450902 | 119 | 0.601684 | from __future__ import unicode_literals
try:
set
except NameError:
from sets import Set as set
from django.contrib.contenttypes import generic
from django.contrib.contenttypes.models import ContentType
from django.db import connection, models
from django.db.models.query import QuerySet
from django.utils.encod... | true | true |
1c2909bdac0f4395bf335f1e4bbe0d962410a850 | 660 | py | Python | application/__init__.py | LandRegistry/register-meta-data | 941c9440ab948d038ab2d476d4f3d711a675f764 | [
"MIT"
] | null | null | null | application/__init__.py | LandRegistry/register-meta-data | 941c9440ab948d038ab2d476d4f3d711a675f764 | [
"MIT"
] | 1 | 2015-08-17T09:26:15.000Z | 2015-08-17T09:26:15.000Z | application/__init__.py | LandRegistry/register-metadata | 941c9440ab948d038ab2d476d4f3d711a675f764 | [
"MIT"
] | null | null | null | from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
import os
app = Flask(__name__)
db = SQLAlchemy(app)
app.config.from_object(os.environ.get('SETTINGS'))
from application import routes
# Set up logging if application has not been started in debug mode
if not app.debug:
import logging
impo... | 23.571429 | 96 | 0.722727 | from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
import os
app = Flask(__name__)
db = SQLAlchemy(app)
app.config.from_object(os.environ.get('SETTINGS'))
from application import routes
if not app.debug:
import logging
import sys
formatter = logging.Formatter('%(asctime)s [%(lev... | true | true |
1c290a6e5f70de245baae6f10d28d7f2c37af08a | 1,577 | py | Python | mmdet3d/ops/gather_points/gather_points.py | maskjp/mmdetection3d | 98f332372b1a4c82bc2d57588a5d764f4176c869 | [
"Apache-2.0"
] | 1 | 2022-03-04T19:29:42.000Z | 2022-03-04T19:29:42.000Z | mmdet3d/ops/gather_points/gather_points.py | maskjp/mmdetection3d | 98f332372b1a4c82bc2d57588a5d764f4176c869 | [
"Apache-2.0"
] | null | null | null | mmdet3d/ops/gather_points/gather_points.py | maskjp/mmdetection3d | 98f332372b1a4c82bc2d57588a5d764f4176c869 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch.autograd import Function
from . import gather_points_ext
class GatherPoints(Function):
"""Gather Points.
Gather points with given index.
"""
@staticmethod
def forward(ctx, features: torch.Tensor,
indices: to... | 29.203704 | 74 | 0.568167 |
import torch
from torch.autograd import Function
from . import gather_points_ext
class GatherPoints(Function):
@staticmethod
def forward(ctx, features: torch.Tensor,
indices: torch.Tensor) -> torch.Tensor:
assert features.is_contiguous()
assert indices.is_contiguous()
... | true | true |
1c290a754df8292c3d4ab1fa7db8426ca94fe1da | 1,347 | py | Python | tests/test_sync.py | nfitzen/python-anilist | 8685098c8d53c3c80d1ffd78a1546d2c8eeaa1e0 | [
"MIT"
] | 9 | 2021-03-08T21:10:15.000Z | 2022-03-28T03:24:46.000Z | tests/test_sync.py | nfitzen/python-anilist | 8685098c8d53c3c80d1ffd78a1546d2c8eeaa1e0 | [
"MIT"
] | 5 | 2021-08-28T08:29:53.000Z | 2022-01-18T19:18:37.000Z | tests/test_sync.py | nfitzen/python-anilist | 8685098c8d53c3c80d1ffd78a1546d2c8eeaa1e0 | [
"MIT"
] | 4 | 2021-07-07T22:59:53.000Z | 2022-01-05T17:41:47.000Z | # SPDX-License-Identifier: MIT
# Copyright (C) 2021 Amano Team <https://amanoteam.com/> and the python-anilist contributors
import pytest
import anilist
@pytest.mark.parametrize(
"query, content_type",
[
("Bakemonogatari", "anime"),
("Bakemonogatari", "manga"),
("Senjougahara", "chara... | 24.053571 | 92 | 0.604306 |
import pytest
import anilist
@pytest.mark.parametrize(
"query, content_type",
[
("Bakemonogatari", "anime"),
("Bakemonogatari", "manga"),
("Senjougahara", "character"),
("Chiwa Saitou", "staff"),
("travis", "user"),
],
)
def test_search(query, content_type):
... | true | true |
1c290a95300451fd48c12d2b0a0f3d680726a023 | 52,333 | py | Python | pylinac/field_analysis.py | alanphys/pylinac | 9b2dabe85d3038a9ec922c77bbb943b4e06dbdda | [
"MIT"
] | null | null | null | pylinac/field_analysis.py | alanphys/pylinac | 9b2dabe85d3038a9ec922c77bbb943b4e06dbdda | [
"MIT"
] | null | null | null | pylinac/field_analysis.py | alanphys/pylinac | 9b2dabe85d3038a9ec922c77bbb943b4e06dbdda | [
"MIT"
] | null | null | null | """Module for performing analysis of images or 2D arrays for parameters such as flatness and symmetry."""
import dataclasses
import io
import os.path as osp
import warnings
from dataclasses import dataclass
from enum import Enum
from math import floor, ceil
from typing import Union, Optional, Tuple, BinaryIO
import ma... | 51.508858 | 170 | 0.638698 | import dataclasses
import io
import os.path as osp
import warnings
from dataclasses import dataclass
from enum import Enum
from math import floor, ceil
from typing import Union, Optional, Tuple, BinaryIO
import matplotlib.pyplot as plt
import numpy as np
from pylinac.core.utilities import open_path, ResultBase
from .... | true | true |
1c290af739e624ed1c1bba05b486099b4b90e047 | 574 | py | Python | product_of_max3.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | product_of_max3.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | product_of_max3.py | erjan/coding_exercises | 53ba035be85f1e7a12b4d4dbf546863324740467 | [
"Apache-2.0"
] | null | null | null | #Given an integer array, find three numbers whose product is maximum and output the maximum product.
import math
import functools
class Solution:
def maximumProduct(self, nums: List[int]) -> int:
nums = sorted(nums)
f1 = nums[-1] * nums[-2] * nums[-3]
f2 = nums[-1] * nums[... | 30.210526 | 126 | 0.627178 |
import math
import functools
class Solution:
def maximumProduct(self, nums: List[int]) -> int:
nums = sorted(nums)
f1 = nums[-1] * nums[-2] * nums[-3]
f2 = nums[-1] * nums[0] * nums[1]
return max(f1,f2)
| true | true |
1c290b37854dae69ca504ef0d539e3feb65d1d2d | 7,388 | py | Python | utils.py | KoryakovDmitry/DewarpNet | 6b5c687548d9db3b5bcfd1503b7a8997c875ea1f | [
"MIT"
] | 307 | 2019-10-26T06:39:02.000Z | 2022-03-20T11:18:00.000Z | utils.py | KoryakovDmitry/DewarpNet | 6b5c687548d9db3b5bcfd1503b7a8997c875ea1f | [
"MIT"
] | 41 | 2019-10-29T14:48:38.000Z | 2022-03-23T15:05:19.000Z | utils.py | KoryakovDmitry/DewarpNet | 6b5c687548d9db3b5bcfd1503b7a8997c875ea1f | [
"MIT"
] | 85 | 2019-10-26T06:39:03.000Z | 2022-02-28T12:11:37.000Z | '''
Misc Utility functions
'''
from collections import OrderedDict
import os
import numpy as np
import torch
import random
import torchvision
def recursive_glob(rootdir='.', suffix=''):
"""Performs recursive glob with given suffix and rootdir
:param rootdir is the root directory
:param suffix is t... | 35.519231 | 130 | 0.652003 | from collections import OrderedDict
import os
import numpy as np
import torch
import random
import torchvision
def recursive_glob(rootdir='.', suffix=''):
return [os.path.join(looproot, filename)
for looproot, _, filenames in os.walk(rootdir)
for filename in filenames if filename.endswith(suffix)]
... | true | true |
1c290d6579ef3ba3ddc70b4fcc3b615427ee515e | 89 | py | Python | tests/download_test.py | FrancescoCaracciolo/SentenceVectorization | b4fdd70f61aee25f6bd2d4f3c4f157f9d799ff63 | [
"Apache-2.0"
] | 1 | 2021-12-20T11:37:50.000Z | 2021-12-20T11:37:50.000Z | tests/download_test.py | FrancescoCaracciolo/SentenceVectorization | b4fdd70f61aee25f6bd2d4f3c4f157f9d799ff63 | [
"Apache-2.0"
] | null | null | null | tests/download_test.py | FrancescoCaracciolo/SentenceVectorization | b4fdd70f61aee25f6bd2d4f3c4f157f9d799ff63 | [
"Apache-2.0"
] | null | null | null | import SentenceVectorization
SentenceVectorization.download_model("glove.6B", "models")
| 22.25 | 58 | 0.842697 | import SentenceVectorization
SentenceVectorization.download_model("glove.6B", "models")
| true | true |
1c290e9d6fbc317663834233c0f3557bc21fc041 | 3,778 | py | Python | tools/test_net.py | yuanxiangyuee/ins_seg_HRSIs | d716a5d7726bb016a4f6c1032ef3e3ad108d00bb | [
"MIT"
] | null | null | null | tools/test_net.py | yuanxiangyuee/ins_seg_HRSIs | d716a5d7726bb016a4f6c1032ef3e3ad108d00bb | [
"MIT"
] | null | null | null | tools/test_net.py | yuanxiangyuee/ins_seg_HRSIs | d716a5d7726bb016a4f6c1032ef3e3ad108d00bb | [
"MIT"
] | 1 | 2021-11-08T11:04:23.000Z | 2021-11-08T11:04:23.000Z | """Perform inference on one or more datasets."""
import argparse
import cv2
import os
import pprint
import sys
import time
import torch
import _init_paths # pylint: disable=unused-import
from core.config import cfg, merge_cfg_from_file, merge_cfg_from_list, assert_and_infer_cfg
from core.test_engine import run_infe... | 32.568966 | 91 | 0.671784 |
import argparse
import cv2
import os
import pprint
import sys
import time
import torch
import _init_paths
from core.config import cfg, merge_cfg_from_file, merge_cfg_from_list, assert_and_infer_cfg
from core.test_engine import run_inference
import utils.logging
# thread safe and causes unwanted GPU memory alloca... | true | true |
1c290f082046572d3a3de527fd30bd3dad29b3a4 | 3,015 | py | Python | src/clients/python/library/shm_utils_setup.py | kpedro88/triton-inference-server | 37b3441e59bd0da314f428e1dcddf0a2f67d52e1 | [
"BSD-3-Clause"
] | 1 | 2021-09-22T13:23:23.000Z | 2021-09-22T13:23:23.000Z | src/clients/python/library/shm_utils_setup.py | dhanainme/triton-inference-server | 880db08b8a3a54caa51ae76387cdcea303807faf | [
"BSD-3-Clause"
] | null | null | null | src/clients/python/library/shm_utils_setup.py | dhanainme/triton-inference-server | 880db08b8a3a54caa51ae76387cdcea303807faf | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | 38.653846 | 130 | 0.713101 |
import os
from setuptools import find_packages
from setuptools import setup
if 'VERSION' not in os.environ:
raise Exception('envvar VERSION must be specified')
VERSION = os.environ['VERSION']
REQUIRED = ['numpy']
try:
from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
c... | true | true |
1c290f960c59965d9045dbb08a07e8f43172f843 | 29,722 | py | Python | cogs/draw.py | WitherredAway/Yeet. | 669ef4a81eac1ced4e2361b1834b5ffa153208d3 | [
"MIT"
] | 4 | 2021-04-29T21:17:01.000Z | 2022-03-06T07:09:16.000Z | cogs/draw.py | WitherredAway/Yeet. | 669ef4a81eac1ced4e2361b1834b5ffa153208d3 | [
"MIT"
] | 2 | 2021-04-29T21:23:07.000Z | 2022-03-17T05:26:20.000Z | cogs/draw.py | WitherredAway/Yeet. | 669ef4a81eac1ced4e2361b1834b5ffa153208d3 | [
"MIT"
] | 1 | 2022-03-26T11:20:56.000Z | 2022-03-26T11:20:56.000Z | import discord
from discord.ext import commands, tasks
from main import *
import re
import itertools
import emojis
import asyncio
from typing import Optional, Union
import copy
row_alpha = [
"🇦",
"🇧",
"🇨",
"🇩",
"🇪",
"🇫",
"🇬",
"🇭",
"🇮",
"🇯",
"🇰",
"🇱",
"🇲"... | 41.744382 | 184 | 0.535395 | import discord
from discord.ext import commands, tasks
from main import *
import re
import itertools
import emojis
import asyncio
from typing import Optional, Union
import copy
row_alpha = [
"🇦",
"🇧",
"🇨",
"🇩",
"🇪",
"🇫",
"🇬",
"🇭",
"🇮",
"🇯",
"🇰",
"🇱",
"🇲"... | true | true |
1c290fdccd4a0608a0acbaa92d9f5897a339ab68 | 10,092 | py | Python | tutorial/stats_utils.py | LarryShamalama/scikit-mobility | d58324c20d8a1651c97feb988619ce4405e78278 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 3 | 2021-01-09T06:50:52.000Z | 2021-11-01T00:16:21.000Z | tutorial/stats_utils.py | LarryShamalama/scikit-mobility | d58324c20d8a1651c97feb988619ce4405e78278 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | tutorial/stats_utils.py | LarryShamalama/scikit-mobility | d58324c20d8a1651c97feb988619ce4405e78278 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 1 | 2021-03-16T13:45:12.000Z | 2021-03-16T13:45:12.000Z | #!/usr/bin/env python
# ciacia_stats.py
# Filippo Simini
# Created: 20131021
import sys,os
import math
import random
#import mpmath
import operator
import csv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pylab as pyl
import itertools
import scipy as sp
from scipy import stats
from scipy import... | 29.857988 | 128 | 0.505945 |
import sys,os
import math
import random
import operator
import csv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pylab as pyl
import itertools
import scipy as sp
from scipy import stats
from scipy import optimize
from scipy.integrate import quad
def segno(x):
if x > 0.0: return 1... | true | true |
1c2910b8301ca92a8e816eb180e4e0009b943982 | 25,270 | py | Python | manage_cat.py | coolerking/caterpillar | f8d02d48963759118b6acfcf9b5d73a9f061a24b | [
"MIT"
] | null | null | null | manage_cat.py | coolerking/caterpillar | f8d02d48963759118b6acfcf9b5d73a9f061a24b | [
"MIT"
] | null | null | null | manage_cat.py | coolerking/caterpillar | f8d02d48963759118b6acfcf9b5d73a9f061a24b | [
"MIT"
] | 1 | 2019-12-16T08:22:00.000Z | 2019-12-16T08:22:00.000Z | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
"""
Scripts to drive a donkey 2 car
Usage:
manage_cat.py (drive) [--model=<model>] [--js] [--type=(linear|categorical|rnn|imu|behavior|3d|localizer|latent)] [--camera=(single|stereo)] [--meta=<key:value> ...] [--debug]
manage_cat.py (train) [--tub=<tub1,tub2,..tub... | 38.876923 | 194 | 0.614563 |
import os
import time
from docopt import docopt
import numpy as np
import donkeycar as dk
from donkeycar.parts.transform import Lambda, TriggeredCallback, DelayedTrigger
from donkeycar.parts.datastore import TubHandler
from donkeycar.parts.controller import LocalWebController, JoystickController
from donkeycar.pa... | true | true |
1c29120a3bb651498fbec8f9197b371c68880bad | 181 | py | Python | src/apispec/__init__.py | sripathivenky/apispec | f4cbef36b65d13c3206f25b90734119876a45379 | [
"MIT"
] | null | null | null | src/apispec/__init__.py | sripathivenky/apispec | f4cbef36b65d13c3206f25b90734119876a45379 | [
"MIT"
] | 12 | 2021-10-12T10:21:26.000Z | 2022-03-28T10:26:04.000Z | src/apispec/__init__.py | sripathivenky/apispec | f4cbef36b65d13c3206f25b90734119876a45379 | [
"MIT"
] | null | null | null | """Contains main apispec classes: `APISpec` and `BasePlugin`"""
from .core import APISpec
from .plugin import BasePlugin
__version__ = "5.1.0"
__all__ = ["APISpec", "BasePlugin"]
| 22.625 | 63 | 0.723757 |
from .core import APISpec
from .plugin import BasePlugin
__version__ = "5.1.0"
__all__ = ["APISpec", "BasePlugin"]
| true | true |
1c2913342138167c017d4d18a66e026b0162aae1 | 7,772 | py | Python | core_tools/GUI/virt_gate_matrix_qml/gui_controller.py | opietx/core_tools | d5bd2d4beed74791b80ff5bdabd67774403763ef | [
"BSD-2-Clause"
] | null | null | null | core_tools/GUI/virt_gate_matrix_qml/gui_controller.py | opietx/core_tools | d5bd2d4beed74791b80ff5bdabd67774403763ef | [
"BSD-2-Clause"
] | null | null | null | core_tools/GUI/virt_gate_matrix_qml/gui_controller.py | opietx/core_tools | d5bd2d4beed74791b80ff5bdabd67774403763ef | [
"BSD-2-Clause"
] | null | null | null | from core_tools.GUI.virt_gate_matrix_qml.models import attenuation_model, table_header_model, vg_matrix_model
from core_tools.drivers.hardware.hardware import hardware
from PyQt5 import QtCore, QtQuick, QtGui, QtWidgets, QtQml
import core_tools.GUI.virt_gate_matrix_qml as qml_in
import os, sys
class virt_gate_matri... | 74.019048 | 285 | 0.659676 | from core_tools.GUI.virt_gate_matrix_qml.models import attenuation_model, table_header_model, vg_matrix_model
from core_tools.drivers.hardware.hardware import hardware
from PyQt5 import QtCore, QtQuick, QtGui, QtWidgets, QtQml
import core_tools.GUI.virt_gate_matrix_qml as qml_in
import os, sys
class virt_gate_matri... | true | true |
1c2913d42fe3bb6efd581f01b4fcc69c308fa15e | 10,342 | py | Python | userbot/plugins/upload.py | Aliensuniquebot/CatUserbot | 93561a620fc1198c6fe6c259412088f4bc81d97b | [
"MIT"
] | 1 | 2020-07-18T07:42:58.000Z | 2020-07-18T07:42:58.000Z | userbot/plugins/upload.py | praveen368/CatUserbot | 4b0cd970551ffaf86b9fdd5da584c1b3882821ff | [
"MIT"
] | null | null | null | userbot/plugins/upload.py | praveen368/CatUserbot | 4b0cd970551ffaf86b9fdd5da584c1b3882821ff | [
"MIT"
] | null | null | null | import aiohttp
import asyncio
import os
import time
from datetime import datetime
from telethon import events
from telethon.tl.types import DocumentAttributeVideo
import json
import subprocess
import math
from pySmartDL import SmartDL
from hachoir.metadata import extractMetadata
from hachoir.parser import createParser
... | 36.935714 | 83 | 0.512473 | import aiohttp
import asyncio
import os
import time
from datetime import datetime
from telethon import events
from telethon.tl.types import DocumentAttributeVideo
import json
import subprocess
import math
from pySmartDL import SmartDL
from hachoir.metadata import extractMetadata
from hachoir.parser import createParser
... | true | true |
1c291487f82ce378092da34e0978a4c13567b6ef | 27,581 | py | Python | record/3548/pre_main_short.py | xieyulai/MSP-STTN-BJ | d691a20e32963330a6024c77284fed6c00b68fed | [
"MIT"
] | null | null | null | record/3548/pre_main_short.py | xieyulai/MSP-STTN-BJ | d691a20e32963330a6024c77284fed6c00b68fed | [
"MIT"
] | null | null | null | record/3548/pre_main_short.py | xieyulai/MSP-STTN-BJ | d691a20e32963330a6024c77284fed6c00b68fed | [
"MIT"
] | null | null | null | import warnings
warnings.filterwarnings('ignore')
import pickle
import numpy as np
import time
import sys
import cv2
import random
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader, TensorDataset
import argparse
import os
impo... | 39.401429 | 207 | 0.533193 | import warnings
warnings.filterwarnings('ignore')
import pickle
import numpy as np
import time
import sys
import cv2
import random
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader, TensorDataset
import argparse
import os
impo... | true | true |
1c2914ea0ac53da03c71cb2a0defc291e6634469 | 24,745 | py | Python | contrib/libs/protobuf/python/google/protobuf/json_format.py | SitdikovRustam/CatBoost | 39fb9dfddb24e977ed87efc71063b03cd4bc8f16 | [
"Apache-2.0"
] | 1 | 2017-08-27T20:55:56.000Z | 2017-08-27T20:55:56.000Z | contrib/libs/protobuf/python/google/protobuf/json_format.py | dsferz/machinelearning_yandex | 8fde8314c5c70299ece8b8f00075ddfcd5e07ddf | [
"Apache-2.0"
] | null | null | null | contrib/libs/protobuf/python/google/protobuf/json_format.py | dsferz/machinelearning_yandex | 8fde8314c5c70299ece8b8f00075ddfcd5e07ddf | [
"Apache-2.0"
] | null | null | null | # Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redi... | 37.210526 | 79 | 0.679855 |
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copy... | true | true |
1c2914fb84a864947b7e53a8c4d7154344e8d5b4 | 6,304 | py | Python | docs/source/conf.py | awalter-bnl/suitcase | 26c665769dde4621ed20ce8306bdcba85ffe9853 | [
"BSD-3-Clause"
] | null | null | null | docs/source/conf.py | awalter-bnl/suitcase | 26c665769dde4621ed20ce8306bdcba85ffe9853 | [
"BSD-3-Clause"
] | null | null | null | docs/source/conf.py | awalter-bnl/suitcase | 26c665769dde4621ed20ce8306bdcba85ffe9853 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# suitcase documentation build configuration file, created by
# sphinx-quickstart on Thu Jun 28 12:35:56 2018.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# a... | 31.207921 | 135 | 0.69448 |
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.autosummary',
'sphinx.ext.githubpages',
'sphinx.ext.intersphinx',
'sphinx.ext.mathjax',
'sphinx.ext.viewcode',
'IPython.sphinxext.ipython_directive',
'IPython.sphinxext.ipython_console_highlighting',
'm... | true | true |
1c29157b6b0e74b8dfb711574b31c47c02f0964c | 1,611 | py | Python | var/spack/repos/builtin/packages/r-htmltable/package.py | kehw/spack | 4f49b1a9301447a8cf880c99820cad65e5c2d7e3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2020-09-10T22:50:08.000Z | 2021-01-12T22:18:54.000Z | var/spack/repos/builtin/packages/r-htmltable/package.py | kehw/spack | 4f49b1a9301447a8cf880c99820cad65e5c2d7e3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2021-01-08T22:23:53.000Z | 2022-03-30T11:08:17.000Z | var/spack/repos/builtin/packages/r-htmltable/package.py | kehw/spack | 4f49b1a9301447a8cf880c99820cad65e5c2d7e3 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RHtmltable(RPackage):
"""Tables with state-of-the-art layout elements such as row
span... | 48.818182 | 96 | 0.717567 |
from spack import *
class RHtmltable(RPackage):
homepage = "https://cloud.r-project.org/package=htmlTable"
url = "https://cloud.r-project.org/src/contrib/htmlTable_1.11.2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/htmlTable"
version('1.13.1', sha256='689f32b65da6a5... | true | true |
1c2915c7bf5d85d4edf79049b8ca7bce51d2b8ff | 1,987 | py | Python | huggingface/hybrid/models/hybrid/text_classification.py | yeahhhhhhhhhh/djl-demo | 261b30541a966561fba9a91a3c6f7d5dca1f5e69 | [
"Apache-2.0"
] | 138 | 2019-11-29T22:03:12.000Z | 2021-04-20T04:27:28.000Z | huggingface/hybrid/models/hybrid/text_classification.py | yeahhhhhhhhhh/djl-demo | 261b30541a966561fba9a91a3c6f7d5dca1f5e69 | [
"Apache-2.0"
] | 19 | 2019-11-30T05:15:34.000Z | 2021-04-11T01:59:26.000Z | huggingface/hybrid/models/hybrid/text_classification.py | AlexRogalskiy/djl-demo | 261b30541a966561fba9a91a3c6f7d5dca1f5e69 | [
"Apache-2.0"
] | 57 | 2019-11-29T22:27:57.000Z | 2021-04-18T16:57:43.000Z | #!/usr/bin/env python
#
# Copyright 2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the ... | 35.482143 | 94 | 0.621037 |
import torch
from djl_python import Input
from djl_python import Output
from transformers_model import BaseNLPModel
class TextClassification(BaseNLPModel):
def __init__(self):
super().__init__("text_classification")
def preprocess(self, data: Input):
input_text = data.get_as_st... | true | true |
1c2916846aa20b5c58015f3e80d0d0582271382c | 69 | py | Python | abc/abc174/abc174a.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | 1 | 2019-08-21T00:49:34.000Z | 2019-08-21T00:49:34.000Z | abc/abc174/abc174a.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | null | null | null | abc/abc174/abc174a.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | null | null | null | X = int(input())
if X >= 30:
print('Yes')
else:
print('No')
| 9.857143 | 16 | 0.478261 | X = int(input())
if X >= 30:
print('Yes')
else:
print('No')
| true | true |
1c29171ee9eadc9394ce3cdbb926bb792bad8a79 | 805 | py | Python | the_things_I_buy/core/verify_key_word_valid.py | ZYKoleva/MyGroceries | b7ee720c66aa88993519d90617ad0a0e58950fbf | [
"MIT"
] | null | null | null | the_things_I_buy/core/verify_key_word_valid.py | ZYKoleva/MyGroceries | b7ee720c66aa88993519d90617ad0a0e58950fbf | [
"MIT"
] | null | null | null | the_things_I_buy/core/verify_key_word_valid.py | ZYKoleva/MyGroceries | b7ee720c66aa88993519d90617ad0a0e58950fbf | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from the_things_I_buy_auth.models import UserKeyWord
def verify_key_word_valid(current_user, key_word):
if current_user:
user_key_word = UserKeyWord.objects.get(user=current_user)
if not user_key_word.k... | 35 | 80 | 0.719255 | from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from the_things_I_buy_auth.models import UserKeyWord
def verify_key_word_valid(current_user, key_word):
if current_user:
user_key_word = UserKeyWord.objects.get(user=current_user)
if not user_key_word.k... | true | true |
1c29184775ae5ab3b58a9eae3d55f69ecc97200b | 828 | py | Python | app/models.py | alexomaset/News-Highlights | 8f0349f0a455c28c0be863a39a4fa10ef54777e7 | [
"MIT"
] | null | null | null | app/models.py | alexomaset/News-Highlights | 8f0349f0a455c28c0be863a39a4fa10ef54777e7 | [
"MIT"
] | null | null | null | app/models.py | alexomaset/News-Highlights | 8f0349f0a455c28c0be863a39a4fa10ef54777e7 | [
"MIT"
] | null | null | null | class Sources:
'''
Sources class that defines source objects
'''
def __init__(self,id,name,author,description,url,category,urlToImage,title):
'''
Function that initiates the sources class
'''
self.id = id
self.name = name
self.author = author
self.... | 27.6 | 80 | 0.613527 | class Sources:
def __init__(self,id,name,author,description,url,category,urlToImage,title):
self.id = id
self.name = name
self.author = author
self.description = description
self.url = url
self.category = category
self.urlToImage = urlToImage
self.titl... | true | true |
1c2918edefb762270c0868976eff8fb29af82946 | 6,572 | py | Python | rasa/utils/common.py | dimthe/rasa | 90f37c70d982cac0bad38ecd8a082041f813cc25 | [
"Apache-2.0"
] | null | null | null | rasa/utils/common.py | dimthe/rasa | 90f37c70d982cac0bad38ecd8a082041f813cc25 | [
"Apache-2.0"
] | null | null | null | rasa/utils/common.py | dimthe/rasa | 90f37c70d982cac0bad38ecd8a082041f813cc25 | [
"Apache-2.0"
] | null | null | null | import logging
import os
from typing import Any, Callable, Dict, List, Text, Optional, Union
import rasa.core.utils
import rasa.utils.io
from rasa.constants import (
GLOBAL_USER_CONFIG_PATH,
DEFAULT_LOG_LEVEL,
ENV_LOG_LEVEL,
DEFAULT_LOG_LEVEL_LIBRARIES,
ENV_LOG_LEVEL_LIBRARIES,
)
logger = logging.... | 32.534653 | 88 | 0.701461 | import logging
import os
from typing import Any, Callable, Dict, List, Text, Optional, Union
import rasa.core.utils
import rasa.utils.io
from rasa.constants import (
GLOBAL_USER_CONFIG_PATH,
DEFAULT_LOG_LEVEL,
ENV_LOG_LEVEL,
DEFAULT_LOG_LEVEL_LIBRARIES,
ENV_LOG_LEVEL_LIBRARIES,
)
logger = logging.... | true | true |
1c29190914e929cd8d50f58b5af67436b3049257 | 4,578 | py | Python | cmsplugin_blog_language_publish/admin.py | bitmazk/cmsplugin-blog-language-publish | 7eed9ac606c3e2ef8459b737245ceb215bccbd91 | [
"MIT"
] | null | null | null | cmsplugin_blog_language_publish/admin.py | bitmazk/cmsplugin-blog-language-publish | 7eed9ac606c3e2ef8459b737245ceb215bccbd91 | [
"MIT"
] | 3 | 2020-02-11T23:22:31.000Z | 2021-06-10T18:45:51.000Z | cmsplugin_blog_language_publish/admin.py | bitmazk/cmsplugin-blog-language-publish | 7eed9ac606c3e2ef8459b737245ceb215bccbd91 | [
"MIT"
] | null | null | null | """Admin classes for the ``cmsplugin_blog_language_publish`` app."""
from django.contrib import admin
from django.core.exceptions import ObjectDoesNotExist
from django.utils.translation import get_language
from django.utils.translation import ugettext_lazy as _
from cmsplugin_blog.models import Entry
from cmsplugin_bl... | 33.911111 | 79 | 0.653997 | from django.contrib import admin
from django.core.exceptions import ObjectDoesNotExist
from django.utils.translation import get_language
from django.utils.translation import ugettext_lazy as _
from cmsplugin_blog.models import Entry
from cmsplugin_blog.admin import EntryAdmin, EntryForm
from simple_translation.transl... | true | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.