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f72b0ab4b78ec9b7eb7deec2b8193a86ca41b48e | 938 | py | Python | year_2020/day13/test_day13.py | mjalkio/advent-of-code | 54dbfcba3850e72d7b736ef1e7d2a3cb91e65d42 | [
"MIT"
] | null | null | null | year_2020/day13/test_day13.py | mjalkio/advent-of-code | 54dbfcba3850e72d7b736ef1e7d2a3cb91e65d42 | [
"MIT"
] | null | null | null | year_2020/day13/test_day13.py | mjalkio/advent-of-code | 54dbfcba3850e72d7b736ef1e7d2a3cb91e65d42 | [
"MIT"
] | null | null | null | import pytest
from year_2020.day13.shuttle_search import (
get_bus_id_times_wait_time,
get_earliest_bus_and_wait_time_for_airport,
get_shuttle_company_solution,
)
TEST_INPUT = """
939
7,13,x,x,59,x,31,19
"""
TEST_INPUT_2 = """
0
17,x,13,19
"""
TEST_INPUT_3 = """
0
67,7,59,61
"""
TEST_INPUT_4 = """
0
67... | 16.172414 | 76 | 0.672708 | import pytest
from year_2020.day13.shuttle_search import (
get_bus_id_times_wait_time,
get_earliest_bus_and_wait_time_for_airport,
get_shuttle_company_solution,
)
TEST_INPUT = """
939
7,13,x,x,59,x,31,19
"""
TEST_INPUT_2 = """
0
17,x,13,19
"""
TEST_INPUT_3 = """
0
67,7,59,61
"""
TEST_INPUT_4 = """
0
67... | true | true |
f72b0ad54d6dd35fc8e313c9014957d5d7c84c64 | 2,327 | py | Python | TheoryValidation/CirculantGraphs.py | ctralie/GeometricBeatTracking | 2c35183f638c4afb51808c09e46da0f74384cba6 | [
"Apache-2.0"
] | 2 | 2019-11-03T16:59:34.000Z | 2021-04-17T05:41:01.000Z | TheoryValidation/CirculantGraphs.py | ctralie/GeometricBeatTracking | 2c35183f638c4afb51808c09e46da0f74384cba6 | [
"Apache-2.0"
] | null | null | null | TheoryValidation/CirculantGraphs.py | ctralie/GeometricBeatTracking | 2c35183f638c4afb51808c09e46da0f74384cba6 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import scipy.sparse as sparse
import sys
sys.path.append("..")
from Laplacian import *
def getCirculantAdj(N, lags):
#Setup circular parts
I = range(N)*(len(lags)+2)
J = range(1, N+1) + range(-1, N-1)
J[N-1] = 0
J[N] = N-1
for lag in lags:
... | 26.146067 | 78 | 0.5578 | import numpy as np
import matplotlib.pyplot as plt
import scipy.sparse as sparse
import sys
sys.path.append("..")
from Laplacian import *
def getCirculantAdj(N, lags):
I = range(N)*(len(lags)+2)
J = range(1, N+1) + range(-1, N-1)
J[N-1] = 0
J[N] = N-1
for lag in lags:
J = J + (np.mod(np... | true | true |
f72b0b19c49d94d5feee3fd0a9c9902892c5cb86 | 28,656 | py | Python | Lib/test/test_tempfile.py | deadsnakes/python3.1 | 88d77610a7873c5161bfc15cd69557fc7697b1a3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_tempfile.py | deadsnakes/python3.1 | 88d77610a7873c5161bfc15cd69557fc7697b1a3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_tempfile.py | deadsnakes/python3.1 | 88d77610a7873c5161bfc15cd69557fc7697b1a3 | [
"PSF-2.0"
] | null | null | null | # tempfile.py unit tests.
import tempfile
import os
import sys
import re
import errno
import warnings
import unittest
from test import support
warnings.filterwarnings("ignore",
category=RuntimeWarning,
message="mktemp", module=__name__)
if hasattr(os, 'stat'):
impo... | 31.559471 | 100 | 0.576947 | import tempfile
import os
import sys
import re
import errno
import warnings
import unittest
from test import support
warnings.filterwarnings("ignore",
category=RuntimeWarning,
message="mktemp", module=__name__)
if hasattr(os, 'stat'):
import stat
has_stat = 1
e... | true | true |
f72b0b29ec60b1e3fa0dcfba14c0246d70315797 | 1,173 | py | Python | peamt/features/polyphony.py | adrienycart/PEAMT | d3ae41e86dedeb64fcf54e2454c9feee993574f9 | [
"MIT"
] | 5 | 2020-05-28T18:03:58.000Z | 2021-11-01T13:14:26.000Z | peamt/features/polyphony.py | adrienycart/PEAMT | d3ae41e86dedeb64fcf54e2454c9feee993574f9 | [
"MIT"
] | 5 | 2020-09-26T01:12:41.000Z | 2022-02-10T02:01:25.000Z | peamt/features/polyphony.py | adrienycart/PEAMT | d3ae41e86dedeb64fcf54e2454c9feee993574f9 | [
"MIT"
] | null | null | null | import numpy as np
########################################
### Polyphony --- discarded
########################################
def polyphony_level_diff(roll_output,roll_target):
poly_output = np.sum(roll_output,axis=0)
poly_target = np.sum(roll_target,axis=0)
poly_diff = np.abs(poly_output-poly_target... | 30.076923 | 87 | 0.656436 | import numpy as np
def polyphony_level_diff(roll_output,roll_target):
poly_output = np.sum(roll_output,axis=0)
poly_target = np.sum(roll_target,axis=0)
poly_diff = np.abs(poly_output-poly_target)
return np.mean(poly_diff),np.std(poly_diff),np.min(poly_diff),np.max(poly_diff)
def false_negative_po... | true | true |
f72b0bcdbe61d8b42e2ce9462ada3ba434fd8b03 | 2,078 | py | Python | tests/common/test_run/round_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/common/test_run/round_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/common/test_run/round_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 39.961538 | 120 | 0.702117 |
import numpy as np
import secrets
from tests.common.tensorio import compare_tensor
from akg.utils import kernel_exec as utils
from tests.common.test_op import round
from tests.common.gen_random import random_gaussian
secretsGenerator = secrets.SystemRandom()
def round_run(shape, dtype, attrs):
in_shape = [shape]
... | true | true |
f72b0bdf689c564a67a58c7ea477390e6e8c6c23 | 24,215 | py | Python | homeassistant/components/mqtt/fan.py | wlcrs/core | cf27b82d2fdce406fda3b1b9cd52d42d7f7d00d6 | [
"Apache-2.0"
] | null | null | null | homeassistant/components/mqtt/fan.py | wlcrs/core | cf27b82d2fdce406fda3b1b9cd52d42d7f7d00d6 | [
"Apache-2.0"
] | 7 | 2022-03-01T06:32:08.000Z | 2022-03-31T07:20:49.000Z | homeassistant/components/mqtt/fan.py | fblondeau/home-assistant | a8da0eedd32ac8198f06d4e32622d0f8b40b4a41 | [
"Apache-2.0"
] | null | null | null | """Support for MQTT fans."""
from __future__ import annotations
import asyncio
import functools
import logging
import math
import voluptuous as vol
from homeassistant.components import fan
from homeassistant.components.fan import (
ATTR_OSCILLATING,
ATTR_PERCENTAGE,
ATTR_PRESET_MODE,
FanEntity,
F... | 36.800912 | 102 | 0.663556 | from __future__ import annotations
import asyncio
import functools
import logging
import math
import voluptuous as vol
from homeassistant.components import fan
from homeassistant.components.fan import (
ATTR_OSCILLATING,
ATTR_PERCENTAGE,
ATTR_PRESET_MODE,
FanEntity,
FanEntityFeature,
)
from homea... | true | true |
f72b0d77ba36f92d632793f510174fe192e614ec | 390 | py | Python | src/utils.py | CarlSchader/poker-api | 446c036367fdb75f5b0fd7f93f347d839bbf71b6 | [
"MIT"
] | null | null | null | src/utils.py | CarlSchader/poker-api | 446c036367fdb75f5b0fd7f93f347d839bbf71b6 | [
"MIT"
] | null | null | null | src/utils.py | CarlSchader/poker-api | 446c036367fdb75f5b0fd7f93f347d839bbf71b6 | [
"MIT"
] | null | null | null | import functools
def dict_cmp(x, y, key):
if str(x[key]) > str(y[key]):
return 1
elif str(x[key]) < str(y[key]):
return -1
else:
return 0
def sort_dict(dictionary, cmp_func):
arr = []
for key in dictionary:
arr.append((key, dictionary[key]))
arr.sort(key=fu... | 22.941176 | 74 | 0.574359 | import functools
def dict_cmp(x, y, key):
if str(x[key]) > str(y[key]):
return 1
elif str(x[key]) < str(y[key]):
return -1
else:
return 0
def sort_dict(dictionary, cmp_func):
arr = []
for key in dictionary:
arr.append((key, dictionary[key]))
arr.sort(key=fu... | true | true |
f72b0e39b7ac8a2190ca5bc480dd257ebdc5b8a6 | 290 | py | Python | generate/partial-header/dataclass/annotation.py | kurusugawa-computer/annofab-api-python-client | 9920e0745f1ee8ea79c26e26a61013b415351982 | [
"MIT"
] | 17 | 2019-05-04T04:24:28.000Z | 2021-12-14T02:43:24.000Z | generate/partial-header/dataclass/annotation.py | kurusugawa-computer/annofab-api-python-client | 9920e0745f1ee8ea79c26e26a61013b415351982 | [
"MIT"
] | 214 | 2019-05-13T01:07:28.000Z | 2022-03-28T20:02:34.000Z | generate/partial-header/dataclass/annotation.py | kurusugawa-computer/annofab-api-python-client | 9920e0745f1ee8ea79c26e26a61013b415351982 | [
"MIT"
] | 2 | 2019-06-15T05:01:50.000Z | 2019-07-04T02:29:55.000Z | from annofabapi.models import (
AdditionalDataDefinitionType,
AnnotationDataHoldingType,
AnnotationType,
InternationalizationMessage,
TaskPhase,
TaskStatus,
)
AnnotationData = Union[str, Dict[str, Any]]
FullAnnotationData = Any
AdditionalDataValue = Dict[str, Any]
| 22.307692 | 43 | 0.762069 | from annofabapi.models import (
AdditionalDataDefinitionType,
AnnotationDataHoldingType,
AnnotationType,
InternationalizationMessage,
TaskPhase,
TaskStatus,
)
AnnotationData = Union[str, Dict[str, Any]]
FullAnnotationData = Any
AdditionalDataValue = Dict[str, Any]
| true | true |
f72b0f69d6927ac9a2071aaa3c495a33948a8289 | 7,677 | py | Python | homeassistant/components/epson/media_player.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/epson/media_player.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | homeassistant/components/epson/media_player.py | mtarjoianu/core | 44e9146463ac505eb3d1c0651ad126cb25c28a54 | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Support for Epson projector."""
from __future__ import annotations
import logging
from epson_projector.const import (
BACK,
BUSY,
CMODE,
CMODE_LIST,
CMODE_LIST_SET,
DEFAULT_SOURCES,
EPSON_CODES,
FAST,
INV_SOURCES,
MUTE,
PAUSE,
PLAY,
POWER,
SOURCE,
SOURCE_... | 31.592593 | 88 | 0.655464 | from __future__ import annotations
import logging
from epson_projector.const import (
BACK,
BUSY,
CMODE,
CMODE_LIST,
CMODE_LIST_SET,
DEFAULT_SOURCES,
EPSON_CODES,
FAST,
INV_SOURCES,
MUTE,
PAUSE,
PLAY,
POWER,
SOURCE,
SOURCE_LIST,
STATE_UNAVAILABLE as EPSO... | true | true |
f72b112a2a1fc41633e4d17514fd8efbba957fc5 | 299 | py | Python | World 02/Class 13/ex050.py | DanielRios549/PythonExcercises | acb44a7cc383e8534f47bc59235d9cc04fd83880 | [
"MIT"
] | 6 | 2021-05-04T22:09:16.000Z | 2022-01-08T20:27:39.000Z | World 02/Class 13/ex050.py | DanielRios549/PythonExercises | acb44a7cc383e8534f47bc59235d9cc04fd83880 | [
"MIT"
] | null | null | null | World 02/Class 13/ex050.py | DanielRios549/PythonExercises | acb44a7cc383e8534f47bc59235d9cc04fd83880 | [
"MIT"
] | null | null | null | '''
Get 6 integer numbers and show the sum of the even ones. Do not consider the odd ones.
'''
sum_number = 0
for count in range(0, 6):
number = int(input('Choose a number: '))
if number % 2 == 0:
sum_number += number
print(f'The sum of all even numbers equals {sum_number}')
| 23 | 90 | 0.64214 | sum_number = 0
for count in range(0, 6):
number = int(input('Choose a number: '))
if number % 2 == 0:
sum_number += number
print(f'The sum of all even numbers equals {sum_number}')
| true | true |
f72b11dd0aed4940421d5a68bccc46f47f43bad2 | 6,464 | py | Python | integrations/tensorflow/e2e/conv_test.py | rise-lang/iree | 46ad3fe392d38ce3df6eff7826cc1ab331a40b72 | [
"Apache-2.0"
] | null | null | null | integrations/tensorflow/e2e/conv_test.py | rise-lang/iree | 46ad3fe392d38ce3df6eff7826cc1ab331a40b72 | [
"Apache-2.0"
] | null | null | null | integrations/tensorflow/e2e/conv_test.py | rise-lang/iree | 46ad3fe392d38ce3df6eff7826cc1ab331a40b72 | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2019 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 36.937143 | 79 | 0.642481 |
import numpy as np
from pyiree.tf.support import tf_test_utils
import tensorflow.compat.v2 as tf
class Conv2dModule(tf.Module):
@tf.function(input_signature=[
tf.TensorSpec([1, 4, 5, 1], tf.float32),
tf.TensorSpec([1, 1, 1, 1], tf.float32),
])
def conv2d_1451x1111_valid(self, img, kernel):
ret... | true | true |
f72b11f17c30ee2bf5b08acdb6fe426742382acd | 26,208 | py | Python | lib/ansiblelint/utils.py | gdoucet/ansible-lint | 07b5194b44f6979480f57b96ea3d196fb59c0e7c | [
"MIT"
] | 1 | 2020-01-21T04:30:10.000Z | 2020-01-21T04:30:10.000Z | lib/ansiblelint/utils.py | gdoucet/ansible-lint | 07b5194b44f6979480f57b96ea3d196fb59c0e7c | [
"MIT"
] | null | null | null | lib/ansiblelint/utils.py | gdoucet/ansible-lint | 07b5194b44f6979480f57b96ea3d196fb59c0e7c | [
"MIT"
] | null | null | null | # Copyright (c) 2013-2014 Will Thames <will@thames.id.au>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify... | 35.657143 | 100 | 0.618781 |
import glob
import imp
import os
from itertools import product
import six
from ansible import constants
from ansible.errors import AnsibleError
try:
from ansible.parsing.splitter import split_args
except ImportError:
# Fallback on the Ansible 1.9 module
from ansible.module_utils.splitter import spli... | true | true |
f72b120e0e4865b2e5c26ca09713f83332de05bd | 43,459 | py | Python | kubernetes_state/datadog_checks/kubernetes_state/kubernetes_state.py | tanner-bruce/integrations-core | 36337b84fefb73e94d4f1ee28aaeb669dc12fb59 | [
"BSD-3-Clause"
] | null | null | null | kubernetes_state/datadog_checks/kubernetes_state/kubernetes_state.py | tanner-bruce/integrations-core | 36337b84fefb73e94d4f1ee28aaeb669dc12fb59 | [
"BSD-3-Clause"
] | null | null | null | kubernetes_state/datadog_checks/kubernetes_state/kubernetes_state.py | tanner-bruce/integrations-core | 36337b84fefb73e94d4f1ee28aaeb669dc12fb59 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2016-present
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import re
import time
from collections import Counter, defaultdict
from copy import deepcopy
from six import iteritems
from datadog_checks.checks.openmetrics import OpenMetricsBaseCheck
from datadog_checks.co... | 52.046707 | 145 | 0.625463 |
import re
import time
from collections import Counter, defaultdict
from copy import deepcopy
from six import iteritems
from datadog_checks.checks.openmetrics import OpenMetricsBaseCheck
from datadog_checks.config import is_affirmative
from datadog_checks.errors import CheckException
from datadog_checks.utils.common ... | true | true |
f72b12c2828be5260fdd70ad443c19b16f2923f0 | 3,003 | py | Python | bin/stock_price_scraper.py | Samanvay96/asx_scraper | 4b80ff97bc3d1005aef005c82bd0a6c20d8733dc | [
"MIT"
] | null | null | null | bin/stock_price_scraper.py | Samanvay96/asx_scraper | 4b80ff97bc3d1005aef005c82bd0a6c20d8733dc | [
"MIT"
] | null | null | null | bin/stock_price_scraper.py | Samanvay96/asx_scraper | 4b80ff97bc3d1005aef005c82bd0a6c20d8733dc | [
"MIT"
] | null | null | null | import urllib.request
from datetime import datetime
import string
from argparse import ArgumentParser
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from bs4 import BeautifulSoup
from sortedcontainers import SortedDict
class StockPriceScraper:
def __init__(self, base_url, stoc... | 48.435484 | 183 | 0.652681 | import urllib.request
from datetime import datetime
import string
from argparse import ArgumentParser
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from bs4 import BeautifulSoup
from sortedcontainers import SortedDict
class StockPriceScraper:
def __init__(self, base_url, stoc... | true | true |
f72b1364a37162fb740d304ac9506ad71a4279ec | 17,209 | py | Python | bitshares/asset.py | ianco/python-bitshares | f9fb23bc32f7bf6ebabb295df8f4056d84f0e859 | [
"MIT"
] | null | null | null | bitshares/asset.py | ianco/python-bitshares | f9fb23bc32f7bf6ebabb295df8f4056d84f0e859 | [
"MIT"
] | null | null | null | bitshares/asset.py | ianco/python-bitshares | f9fb23bc32f7bf6ebabb295df8f4056d84f0e859 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from bitsharesbase import operations
from bitsharesbase.asset_permissions import (
asset_permissions,
force_flag,
test_permissions,
todict,
)
from .blockchainobject import BlockchainObject
from .exceptions import AssetDoesNotExistsException
from .instance import Bloc... | 35.192229 | 88 | 0.534895 | import json
from bitsharesbase import operations
from bitsharesbase.asset_permissions import (
asset_permissions,
force_flag,
test_permissions,
todict,
)
from .blockchainobject import BlockchainObject
from .exceptions import AssetDoesNotExistsException
from .instance import BlockchainInstance
from gra... | true | true |
f72b17196b95f01f3e9c02c59d337099f3b510e2 | 18,401 | py | Python | fedlearner/trainer/estimator.py | bruinxiong/fedlearner | 9cdeaf44b279acedd5bc88bbffd4a390697b06aa | [
"Apache-2.0"
] | 1 | 2020-12-02T09:51:29.000Z | 2020-12-02T09:51:29.000Z | fedlearner/trainer/estimator.py | bruinxiong/fedlearner | 9cdeaf44b279acedd5bc88bbffd4a390697b06aa | [
"Apache-2.0"
] | null | null | null | fedlearner/trainer/estimator.py | bruinxiong/fedlearner | 9cdeaf44b279acedd5bc88bbffd4a390697b06aa | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The FedLearner Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.915401 | 80 | 0.577469 |
import os
import logging
import time
import tensorflow.compat.v1 as tf
from tensorflow.compat import as_str_any
from tensorflow.compat.v1.train import Optimizer
from tensorflow.compat.v1.estimator import ModeKeys
from tensorflow_estimator.python.estimator import model_fn as model_fn_lib
from fedlearner.common.mysql... | true | true |
f72b173c37bf64ae1456501212bb02ffe852962a | 2,398 | py | Python | sdk/python/pulumi_azure_native/azurestack/v20200601preview/get_registration_activation_key.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/azurestack/v20200601preview/get_registration_activation_key.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/azurestack/v20200601preview/get_registration_activation_key.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
__... | 36.333333 | 175 | 0.710592 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
__all__ = [
'GetRegistrationActivationKeyResult',
'AwaitableGetRegistrationActivationKeyResult',
'get_registration_activation_key',
]
@pulumi.output_type
cla... | true | true |
f72b176a16e94f285b596a275b3c38e265d42aba | 11,711 | py | Python | onmt/model_builder.py | Nazukixv/OpenNMT-py | 6265ddbbe9053b018714ac1fb4be9ec8adbaa128 | [
"MIT"
] | 11 | 2019-11-22T16:46:36.000Z | 2021-07-17T04:06:14.000Z | onmt/model_builder.py | Nazukixv/OpenNMT-py | 6265ddbbe9053b018714ac1fb4be9ec8adbaa128 | [
"MIT"
] | 3 | 2019-11-11T05:40:10.000Z | 2020-03-05T14:04:38.000Z | onmt/model_builder.py | Nazukixv/OpenNMT-py | 6265ddbbe9053b018714ac1fb4be9ec8adbaa128 | [
"MIT"
] | 3 | 2020-04-04T12:21:52.000Z | 2022-02-27T13:29:45.000Z | """
This file is for models creation, which consults options
and creates each encoder and decoder accordingly.
"""
import re
import torch
import torch.nn as nn
from torch.nn.init import xavier_uniform_
import onmt.inputters as inputters
import onmt.modules
from onmt.encoders.rnn_encoder import RNNEncoder
from onmt.enc... | 40.663194 | 79 | 0.59252 | import re
import torch
import torch.nn as nn
from torch.nn.init import xavier_uniform_
import onmt.inputters as inputters
import onmt.modules
from onmt.encoders.rnn_encoder import RNNEncoder
from onmt.encoders.transformer import TransformerEncoder
from onmt.encoders.cnn_encoder import CNNEncoder
from onmt.encoders.mea... | true | true |
f72b18ac7bf95dbe78dbadf8c1485e348aca0705 | 870 | py | Python | code/extractWAVdata.py | eepsmedia/ping-pong-bounce | 8e06363032da88976f14146704af26d9312d195a | [
"MIT"
] | null | null | null | code/extractWAVdata.py | eepsmedia/ping-pong-bounce | 8e06363032da88976f14146704af26d9312d195a | [
"MIT"
] | null | null | null | code/extractWAVdata.py | eepsmedia/ping-pong-bounce | 8e06363032da88976f14146704af26d9312d195a | [
"MIT"
] | null | null | null | """Convert a .wav file to .csv
Uses the `wave` package to convert a .wav file to a .csv.
Assumes that the file is monoaural (one channel).
Be sure to edit the code to point to correct values of `inFileName` and `outFileName`
"""
import wave
import numpy
inFileName = "../data/pingpong.wav"
outFileName = '../data/pi... | 22.894737 | 85 | 0.658621 |
import wave
import numpy
inFileName = "../data/pingpong.wav"
outFileName = '../data/pingpong raw redux.csv'
f = wave.open(inFileName, 'rb')
params = f.getparams()
print("There are {} frames.".format(params.nframes))
bytesData = f.readframes(params.nframes)
f.close()
a = numpy.frombuffer(bytesData, dtype=numpy.dty... | true | true |
f72b18b4de5b0fdf2cba2aac9ddd50531ba9f7c0 | 2,145 | py | Python | setup.py | hindman/short-con | 45242757ab50a3b8b8b9826704a58006f918955d | [
"MIT"
] | null | null | null | setup.py | hindman/short-con | 45242757ab50a3b8b8b9826704a58006f918955d | [
"MIT"
] | null | null | null | setup.py | hindman/short-con | 45242757ab50a3b8b8b9826704a58006f918955d | [
"MIT"
] | null | null | null | #! /usr/bin/env python
from os.path import dirname, realpath, join
from setuptools import setup, find_packages
import sys
####
# Basic project info.
####
project_name = 'short-con'
package_name = project_name.replace('-', '_')
repo_name = project_name
description = 'Constants collections without boilerplate'
url... | 21.029412 | 72 | 0.635897 |
from os.path import dirname, realpath, join
from setuptools import setup, find_packages
import sys
project_name = 'short-con'
package_name = project_name.replace('-', '_')
repo_name = project_name
description = 'Constants collections without boilerplate'
url = 'https://github.com/hindman/' + repo_name
a... | true | true |
f72b19bcddea7c052af0ab512ac1b3f2f93a86bf | 112,844 | py | Python | tensorflow/python/ops/variables.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | 1 | 2019-01-14T07:11:06.000Z | 2019-01-14T07:11:06.000Z | tensorflow/python/ops/variables.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/ops/variables.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | 2 | 2019-02-26T16:21:15.000Z | 2020-12-04T17:48:17.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.135857 | 134 | 0.682659 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import enum import functools
import os
import six
from tensorflow.core.framework import attr_value_pb2
from tensorflow.core.framework import variable_pb2
from tensorflow.python.eager import context
from tenso... | true | true |
f72b1a1f689e870dc85c7c284ed9fdf8f206b085 | 4,540 | py | Python | python/tests/serialization/test_deserializers.py | aji-geo/incubator-sedona | ed7a1badf58f0c7efedf79a0a21a9ef6ebd1d6b1 | [
"Apache-2.0"
] | 1 | 2021-10-19T07:57:29.000Z | 2021-10-19T07:57:29.000Z | python/tests/serialization/test_deserializers.py | aji-geo/incubator-sedona | ed7a1badf58f0c7efedf79a0a21a9ef6ebd1d6b1 | [
"Apache-2.0"
] | null | null | null | python/tests/serialization/test_deserializers.py | aji-geo/incubator-sedona | ed7a1badf58f0c7efedf79a0a21a9ef6ebd1d6b1 | [
"Apache-2.0"
] | null | null | null | # 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... | 36.32 | 112 | 0.624009 |
import os
from shapely.geometry import MultiPoint, Point, MultiLineString, LineString, Polygon, MultiPolygon
import geopandas as gpd
from tests.data import data_path
from tests.test_base import TestBase
class TestGeometryConvert(TestBase):
def test_register_functions(self):
df = self.spark.sql("""SELE... | true | true |
f72b1cc1e0211ba34f94051f87bc32ad2cbf8b6f | 60 | py | Python | src/FLABasicTools/__main__.py | Fair-Lines-America/FLA_basic_tools | 9aedc23ef4b9df2bd530c96fedd94e046eb545c8 | [
"MIT"
] | 17 | 2020-05-07T20:02:30.000Z | 2022-03-02T10:59:28.000Z | src/FLABasicTools/__main__.py | Fair-Lines-America/FLA_basic_tools | 9aedc23ef4b9df2bd530c96fedd94e046eb545c8 | [
"MIT"
] | 3 | 2021-05-06T17:44:23.000Z | 2022-01-27T15:14:44.000Z | src/FLABasicTools/__main__.py | Fair-Lines-America/FLA_basic_tools | 9aedc23ef4b9df2bd530c96fedd94e046eb545c8 | [
"MIT"
] | null | null | null | from .cli import main
if __name__ == '__main__':
main() | 15 | 26 | 0.65 | from .cli import main
if __name__ == '__main__':
main() | true | true |
f72b1d438ff6542f0231c5e19b54a4ca0fdfaef9 | 7,860 | py | Python | agent/segmentation.py | johnnylord/trytry-segmentation | a88d75571ddba92bd10ac2d7303bee9426188b62 | [
"MIT"
] | null | null | null | agent/segmentation.py | johnnylord/trytry-segmentation | a88d75571ddba92bd10ac2d7303bee9426188b62 | [
"MIT"
] | null | null | null | agent/segmentation.py | johnnylord/trytry-segmentation | a88d75571ddba92bd10ac2d7303bee9426188b62 | [
"MIT"
] | null | null | null | import os
import os.path as osp
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as T
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
from data.segmentation import SegmentDataset
from model.segmentation.fcn import FCN32
from... | 38.341463 | 91 | 0.549237 | import os
import os.path as osp
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as T
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
from data.segmentation import SegmentDataset
from model.segmentation.fcn import FCN32
from... | true | true |
f72b1e7549524106a9f828129970b89627719521 | 51,593 | py | Python | temporal/core.py | karttur/geoimagine02-grass | 09c207707ddd0dae04a871e006e184409aa87d99 | [
"BSD-3-Clause"
] | null | null | null | temporal/core.py | karttur/geoimagine02-grass | 09c207707ddd0dae04a871e006e184409aa87d99 | [
"BSD-3-Clause"
] | null | null | null | temporal/core.py | karttur/geoimagine02-grass | 09c207707ddd0dae04a871e006e184409aa87d99 | [
"BSD-3-Clause"
] | null | null | null | """
This module provides the functionality to create the temporal
SQL database and to establish a connection to the database.
Usage:
.. code-block:: python
>>> import grass.temporal as tgis
>>> # Create the temporal database
>>> tgis.init()
>>> # Establish a database connection
>>> dbif, connecte... | 37.170749 | 100 | 0.589111 | import os
import sys
import grass.script as gscript
if sys.version_info.major == 3:
long = int
from .c_libraries_interface import *
from grass.pygrass import messages
from grass.script.utils import decode, encode
try:
import sqlite3
except ImportError:
pass
try:
import psycopg2
import psycopg2.ext... | true | true |
f72b21cb7cd90c4cedf514ee804f2b47f748ee67 | 4,395 | py | Python | runner.py | Robinson04/mdscript | 7a89a4453f0266a5ed318eceebc12b401e419ff4 | [
"MIT"
] | null | null | null | runner.py | Robinson04/mdscript | 7a89a4453f0266a5ed318eceebc12b401e419ff4 | [
"MIT"
] | 1 | 2021-07-27T21:03:40.000Z | 2021-07-27T21:03:40.000Z | runner.py | Robinson04/mdscript | 7a89a4453f0266a5ed318eceebc12b401e419ff4 | [
"MIT"
] | null | null | null | import logging
import os
import re
from pathlib import Path
from typing import Any
from mdscript.files_dependencies_manager import FilesDependenciesManager
from mdscript.watcher import Watcher
class Runner:
def __init__(self, config: Any, base_dirpath: str):
self.config = config
self.base_dirpath... | 49.943182 | 145 | 0.669852 | import logging
import os
import re
from pathlib import Path
from typing import Any
from mdscript.files_dependencies_manager import FilesDependenciesManager
from mdscript.watcher import Watcher
class Runner:
def __init__(self, config: Any, base_dirpath: str):
self.config = config
self.base_dirpath... | true | true |
f72b239857d42e26a3ecdb3d5902e5cf5b358e32 | 2,569 | py | Python | verilator/dut_gen.py | mlulaj/fuzzing | 81e17a3363490361475bfd9ae28a5ae495be27b8 | [
"BSD-3-Clause"
] | 48 | 2018-09-26T03:35:37.000Z | 2022-03-20T05:05:56.000Z | verilator/dut_gen.py | mlulaj/fuzzing | 81e17a3363490361475bfd9ae28a5ae495be27b8 | [
"BSD-3-Clause"
] | 10 | 2018-07-19T21:16:22.000Z | 2021-09-06T22:21:01.000Z | verilator/dut_gen.py | mlulaj/fuzzing | 81e17a3363490361475bfd9ae28a5ae495be27b8 | [
"BSD-3-Clause"
] | 6 | 2020-02-06T01:33:54.000Z | 2021-08-29T21:20:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2018, Kevin Laeufer <ekiwi@berkeley.edu>
# Generates the `dut.hpp` file which contains dut specific interface code
# from the TOML dut description file.
import os, sys, argparse
import toml
template = """
// This file was generated from {conf_toml} using th... | 30.583333 | 82 | 0.708836 |
import os, sys, argparse
import toml
template = """
// This file was generated from {conf_toml} using the dut_gen.py script.
// It contains DUt specific interface code for the verilator C++ test harness.
#ifndef DUT_CONF_HPP
#define DUT_CONF_HPP
#if defined(E2E)
#include <V{toplevel}_E2EHarness.h>
#define TOP_TYP... | true | true |
f72b24aadd868431479c08d35f7980c4d40e563c | 5,289 | py | Python | deepctr/models/din.py | BradyBromley/DeepCTR | 3d12ffc0e0a5e893dce8bd315824c180445b772e | [
"Apache-2.0"
] | 2 | 2019-11-07T10:17:40.000Z | 2020-04-13T14:25:14.000Z | deepctr/models/din.py | BradyBromley/DeepCTR | 3d12ffc0e0a5e893dce8bd315824c180445b772e | [
"Apache-2.0"
] | 7 | 2019-12-16T22:22:25.000Z | 2022-02-10T00:37:34.000Z | deepctr/models/din.py | BradyBromley/DeepCTR | 3d12ffc0e0a5e893dce8bd315824c180445b772e | [
"Apache-2.0"
] | 1 | 2020-01-07T09:12:21.000Z | 2020-01-07T09:12:21.000Z | # -*- coding:utf-8 -*-
"""
Author:
Weichen Shen,wcshen1994@163.com
Reference:
[1] Zhou G, Zhu X, Song C, et al. Deep interest network for click-through rate prediction[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018: 1059-1068. (https://arxiv.org/... | 52.366337 | 256 | 0.772169 |
from tensorflow.python.keras.layers import Dense,Concatenate, Flatten
from tensorflow.python.keras.models import Model
from ..inputs import build_input_features,create_embedding_matrix,SparseFeat,VarLenSparseFeat,DenseFeat,embedding_lookup,get_dense_input,varlen_embedding_lookup,get_varlen_pooling_list,combined_dnn... | true | true |
f72b252e105b7da5db34c619077f0de2012fa5c7 | 301 | py | Python | deeplab3/evaluators/__init__.py | crmauceri/pytorch-deeplab-xception | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | 1 | 2021-12-11T08:21:19.000Z | 2021-12-11T08:21:19.000Z | deeplab3/evaluators/__init__.py | crmauceri/rgbd_deeplab | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | null | null | null | deeplab3/evaluators/__init__.py | crmauceri/rgbd_deeplab | aec2cb7b0c09c346519c6bf22c2cbf419021fdc7 | [
"MIT"
] | null | null | null | from deeplab3.evaluators.segmentation_evaluator import SegmentationEvaluator
def make_evaluator(cfg, num_classes):
if cfg.EVALUATOR.NAME == "segmentation":
return SegmentationEvaluator(num_classes)
else:
raise ValueError("Model not implemented: {}".format(cfg.EVALUATOR.NAME)) | 43 | 80 | 0.76412 | from deeplab3.evaluators.segmentation_evaluator import SegmentationEvaluator
def make_evaluator(cfg, num_classes):
if cfg.EVALUATOR.NAME == "segmentation":
return SegmentationEvaluator(num_classes)
else:
raise ValueError("Model not implemented: {}".format(cfg.EVALUATOR.NAME)) | true | true |
f72b25859b28cd579a78605dc1ed921ca8af258c | 3,159 | py | Python | analytics/models.py | SmithJesko/volny-films | 7c50713eb1d2c2d5984700a5de20a12e4045e1b9 | [
"MIT"
] | 1 | 2021-02-23T00:12:43.000Z | 2021-02-23T00:12:43.000Z | analytics/models.py | SmithJesko/volny-films | 7c50713eb1d2c2d5984700a5de20a12e4045e1b9 | [
"MIT"
] | null | null | null | analytics/models.py | SmithJesko/volny-films | 7c50713eb1d2c2d5984700a5de20a12e4045e1b9 | [
"MIT"
] | 1 | 2021-02-23T06:04:13.000Z | 2021-02-23T06:04:13.000Z | from django.contrib.auth import get_user_model
from django.db import models
User = get_user_model()
class ClientConnection(models.Model):
ip = models.CharField(max_length=50, default="xxx", blank=True, null=True)
url = models.CharField(max_length=512, default="xxx", blank=True, null=True)
timestamp = mod... | 41.565789 | 83 | 0.719848 | from django.contrib.auth import get_user_model
from django.db import models
User = get_user_model()
class ClientConnection(models.Model):
ip = models.CharField(max_length=50, default="xxx", blank=True, null=True)
url = models.CharField(max_length=512, default="xxx", blank=True, null=True)
timestamp = mod... | true | true |
f72b2611795c1b7d27319858d6c69d00eadf80ef | 32,514 | py | Python | old_projects/eola/chapter8p2.py | thevivekpandey/manim | 483dbfc232fa684e7722969221bd416fde8bd55a | [
"MIT"
] | 9 | 2019-12-17T04:59:53.000Z | 2020-11-10T21:02:41.000Z | old_projects/eola/chapter8p2.py | Hammer7/manim | a19a6317ec187f65efb0c8f46bc613b4a978d22a | [
"MIT"
] | 5 | 2021-03-19T03:01:04.000Z | 2022-03-11T23:57:24.000Z | old_projects/eola/chapter8p2.py | Hammer7/manim | a19a6317ec187f65efb0c8f46bc613b4a978d22a | [
"MIT"
] | 3 | 2020-04-12T16:50:57.000Z | 2020-07-19T17:53:53.000Z | from manimlib.imports import *
from old_projects.eola.chapter5 import get_det_text
from old_projects.eola.chapter8 import *
class OpeningQuote(Scene):
def construct(self):
words = TextMobject(
"From [Grothendieck], I have also learned not",
"to take glory in the ",
"di... | 32.975659 | 82 | 0.557637 | from manimlib.imports import *
from old_projects.eola.chapter5 import get_det_text
from old_projects.eola.chapter8 import *
class OpeningQuote(Scene):
def construct(self):
words = TextMobject(
"From [Grothendieck], I have also learned not",
"to take glory in the ",
"di... | true | true |
f72b264401ddefa4e28e25f16a1019753ba3292c | 1,370 | py | Python | python/coffer/coins/btc.py | Steve132/wallet_standard | 09c909b24dc17cf6a0a433644d8f1912e886ab1c | [
"MIT"
] | null | null | null | python/coffer/coins/btc.py | Steve132/wallet_standard | 09c909b24dc17cf6a0a433644d8f1912e886ab1c | [
"MIT"
] | null | null | null | python/coffer/coins/btc.py | Steve132/wallet_standard | 09c909b24dc17cf6a0a433644d8f1912e886ab1c | [
"MIT"
] | null | null | null | from ..wallet import *
from _coin import *
from ..bip32 import Bip32
from blockchain._insight import InsightBlockchainInterface
from blockchain._interface import MultiBlockchainInterface
from impl._segwitcoin import *
class BTC(SegwitCoin):
def __init__(self,is_testnet=False):
#self.supported=True
if(not is_test... | 26.346154 | 75 | 0.734307 | from ..wallet import *
from _coin import *
from ..bip32 import Bip32
from blockchain._insight import InsightBlockchainInterface
from blockchain._interface import MultiBlockchainInterface
from impl._segwitcoin import *
class BTC(SegwitCoin):
def __init__(self,is_testnet=False):
if(not is_testnet):
pkh_prefix=0... | true | true |
f72b27956bef78d99560b5b1289b72d9c87c03d4 | 1,672 | py | Python | adminmgr/media/code/A3/task2/BD_151_987_1496_1503_KYP9LpV.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 9 | 2019-11-08T02:05:27.000Z | 2021-12-13T12:06:35.000Z | adminmgr/media/code/A3/task2/BD_151_987_1496_1503_KYP9LpV.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 6 | 2019-11-27T03:23:16.000Z | 2021-06-10T19:15:13.000Z | adminmgr/media/code/A3/task2/BD_151_987_1496_1503_KYP9LpV.py | IamMayankThakur/test-bigdata | cef633eb394419b955bdce479699d0115d8f99c3 | [
"Apache-2.0"
] | 4 | 2019-11-26T17:04:27.000Z | 2021-12-13T11:57:03.000Z | from pyspark.sql import SparkSession
from pyspark.sql.functions import explode,split,desc,max
from pyspark.sql.types import *
from pyspark.sql.types import StringType, StructType, StructField
spark = SparkSession \
.builder \
.appName("StructuredStreaming") \
.getOrCreate()
inputpath="hdfs://localhost:9000... | 44 | 117 | 0.600478 | from pyspark.sql import SparkSession
from pyspark.sql.functions import explode,split,desc,max
from pyspark.sql.types import *
from pyspark.sql.types import StringType, StructType, StructField
spark = SparkSession \
.builder \
.appName("StructuredStreaming") \
.getOrCreate()
inputpath="hdfs://localhost:9000... | true | true |
f72b2840162bfc1b4ca923abd4640365761a2d0e | 19,645 | py | Python | wagtail_wordpress_import/test/tests/test_wordpress_item.py | fabienheureux/wagtail-wordpress-import | 3c27330258e24a6b52f3d580060f607706bbc9d0 | [
"MIT"
] | null | null | null | wagtail_wordpress_import/test/tests/test_wordpress_item.py | fabienheureux/wagtail-wordpress-import | 3c27330258e24a6b52f3d580060f607706bbc9d0 | [
"MIT"
] | null | null | null | wagtail_wordpress_import/test/tests/test_wordpress_item.py | fabienheureux/wagtail-wordpress-import | 3c27330258e24a6b52f3d580060f607706bbc9d0 | [
"MIT"
] | null | null | null | import json
import os
import re
import unittest
from collections import Counter
from datetime import datetime
from unittest import mock
from xml.dom import pulldom
from django.test import TestCase, override_settings
from wagtail.core.models import Page
from example.models import Category
from wagtail_wordpress_import... | 40.256148 | 114 | 0.67269 | import json
import os
import re
import unittest
from collections import Counter
from datetime import datetime
from unittest import mock
from xml.dom import pulldom
from django.test import TestCase, override_settings
from wagtail.core.models import Page
from example.models import Category
from wagtail_wordpress_import... | true | true |
f72b287c0755998110f1fa14c9a7bd080f42dee2 | 1,251 | py | Python | azure/mgmt/network/v2016_09_01/models/express_route_circuits_routes_table_summary_list_result.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | 2 | 2020-07-29T14:22:17.000Z | 2020-11-06T18:47:40.000Z | azure/mgmt/network/v2016_09_01/models/express_route_circuits_routes_table_summary_list_result.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2016-08-01T07:37:04.000Z | 2016-08-01T07:37:04.000Z | azure/mgmt/network/v2016_09_01/models/express_route_circuits_routes_table_summary_list_result.py | EnjoyLifeFund/py36pkgs | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | [
"MIT",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2020-12-12T21:04:41.000Z | 2020-12-12T21:04:41.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 36.794118 | 85 | 0.631495 |
from msrest.serialization import Model
class ExpressRouteCircuitsRoutesTableSummaryListResult(Model):
_attribute_map = {
'value': {'key': 'value', 'type': '[ExpressRouteCircuitRoutesTableSummary]'},
'next_link': {'key': 'nextLink', 'type': 'str'},
}
def __init__(self, value=None, next_l... | true | true |
f72b28a897f88f7a2835dba9ffb1efe2af6ae2d4 | 4,626 | py | Python | purity_fb/purity_fb_1dot8dot1/models/alert_watcher_test_response.py | tlewis-ps/purity_fb_python_client | 652835cbd485c95a86da27f8b661679727ec6ea0 | [
"Apache-2.0"
] | 5 | 2017-09-08T20:47:22.000Z | 2021-06-29T02:11:05.000Z | purity_fb/purity_fb_1dot8dot1/models/alert_watcher_test_response.py | tlewis-ps/purity_fb_python_client | 652835cbd485c95a86da27f8b661679727ec6ea0 | [
"Apache-2.0"
] | 16 | 2017-11-27T20:57:48.000Z | 2021-11-23T18:46:43.000Z | purity_fb/purity_fb_1dot8dot1/models/alert_watcher_test_response.py | tlewis-ps/purity_fb_python_client | 652835cbd485c95a86da27f8b661679727ec6ea0 | [
"Apache-2.0"
] | 22 | 2017-10-13T15:33:05.000Z | 2021-11-08T19:56:21.000Z | # coding: utf-8
"""
Pure Storage FlashBlade REST 1.8.1 Python SDK
Pure Storage FlashBlade REST 1.8.1 Python SDK, developed by [Pure Storage, Inc](http://www.purestorage.com/). Documentations can be found at [purity-fb.readthedocs.io](http://purity-fb.readthedocs.io/).
OpenAPI spec version: 1.8.1
Cont... | 30.635762 | 206 | 0.607436 |
import pprint
import re
import six
class AlertWatcherTestResponse(object):
__test__ = False
swagger_types = {
'pagination_info': 'PaginationInfo',
'items': 'list[AlertWatcherTest]'
}
attribute_map = {
'pagination_info': 'pagination_info',
'items': 'items'
... | true | true |
f72b28d1d6a43d1771d51b5748f4617a33315439 | 7,739 | py | Python | code/searchJeuxDeMots.py | AnthonySigogne/HackatonIWCS2017 | d0683a1c8246b75d110984207ec1f1cee67accef | [
"MIT"
] | 1 | 2017-11-20T17:30:31.000Z | 2017-11-20T17:30:31.000Z | code/searchJeuxDeMots.py | AnthonySigogne/HackatonIWCS2017 | d0683a1c8246b75d110984207ec1f1cee67accef | [
"MIT"
] | null | null | null | code/searchJeuxDeMots.py | AnthonySigogne/HackatonIWCS2017 | d0683a1c8246b75d110984207ec1f1cee67accef | [
"MIT"
] | null | null | null | #!/usr/sfw/bin/python
# -*- coding: utf-8 -*-
#C:\python27\python.exe C:\Dropbox\Work\2012ExpressionsComposees\CreateGraph.py
import sys, os, re, string, time
from math import *
#------------------------------
# Chargement des paramètres
#------------------------------
args={}
i=1;
selectedRelations = {}
selectedRel... | 35.663594 | 124 | 0.505492 |
import sys, os, re, string, time
from math import *
args={}
i=1;
selectedRelations = {}
selectedRelations[6] = "r_isa"
selectedRelations[9] = "r_has_part"
selectedRelations[16] = "r_instr"
selectedRelations[17] = "r_carac"
selectedRelations[23] = "r_carac-1"
selectedRelations[15] = "r_lieu"
selectedRelations[24] = "... | true | true |
f72b28ec393014292fff2aac3ffa0f3a488e9bda | 170 | py | Python | handlers/sr.py | flaviopicci/xen-backup | 306667f6ce3fd81d98b7a73312e37ad01f91c287 | [
"Apache-2.0"
] | null | null | null | handlers/sr.py | flaviopicci/xen-backup | 306667f6ce3fd81d98b7a73312e37ad01f91c287 | [
"Apache-2.0"
] | null | null | null | handlers/sr.py | flaviopicci/xen-backup | 306667f6ce3fd81d98b7a73312e37ad01f91c287 | [
"Apache-2.0"
] | null | null | null | from handlers.common import Common
class SR(Common):
_type = "SR"
def __init__(self, xapi, ref=None, params=None):
super().__init__(xapi, ref, params)
| 18.888889 | 52 | 0.658824 | from handlers.common import Common
class SR(Common):
_type = "SR"
def __init__(self, xapi, ref=None, params=None):
super().__init__(xapi, ref, params)
| true | true |
f72b296dc9ecbc509d9451f3cf12c463f5785fef | 790 | py | Python | junk/pull_photos.py | simplegeo/betashapes | 25d964c6dc20281b8f4c0b9049cd417af3e21e35 | [
"PostgreSQL",
"Unlicense"
] | 14 | 2015-02-13T16:35:28.000Z | 2021-01-18T04:20:50.000Z | junk/pull_photos.py | simplegeo/betashapes | 25d964c6dc20281b8f4c0b9049cd417af3e21e35 | [
"PostgreSQL",
"Unlicense"
] | null | null | null | junk/pull_photos.py | simplegeo/betashapes | 25d964c6dc20281b8f4c0b9049cd417af3e21e35 | [
"PostgreSQL",
"Unlicense"
] | 1 | 2017-03-23T22:09:36.000Z | 2017-03-23T22:09:36.000Z | #!/usr/bin/python
import sys
import csv
#first arg: input file, csv. column woe_id should be the list of woe_ids we want to pull out of photos.txt
#second arg: output file, txt subset of photos.txt (also remove photoid. samplr not expecting it)
def main():
infile = sys.argv[1]
outfile = sys.argv[2]
phot... | 22.571429 | 106 | 0.605063 | import sys
import csv
def main():
infile = sys.argv[1]
outfile = sys.argv[2]
photofile = "photos.txt"
woes = []
ireader = csv.DictReader(open(infile, 'r'))
for line in ireader:
woes.append(line['woe_id'])
pfh = open(photofile, 'r')
ofh = open(outfile, 'w')
outstr = "%... | true | true |
f72b29d93a56efc5fafb086551352e0cba9256da | 7,352 | py | Python | electrum/plugins/labels/labels.py | hodlwave/electrum | 52f8aafb604d05487a0612f65bacb966c0d0f569 | [
"MIT"
] | 4 | 2020-06-27T22:43:34.000Z | 2021-04-12T02:29:30.000Z | electrum/plugins/labels/labels.py | hodlwave/electrum | 52f8aafb604d05487a0612f65bacb966c0d0f569 | [
"MIT"
] | 21 | 2020-06-20T15:02:50.000Z | 2021-04-07T10:14:59.000Z | electrum/plugins/labels/labels.py | hodlwave/electrum | 52f8aafb604d05487a0612f65bacb966c0d0f569 | [
"MIT"
] | 13 | 2020-06-28T08:13:28.000Z | 2021-12-28T00:11:56.000Z | import asyncio
import hashlib
import json
import sys
import traceback
from typing import Union, TYPE_CHECKING
import base64
from electrum.plugin import BasePlugin, hook
from electrum.crypto import aes_encrypt_with_iv, aes_decrypt_with_iv
from electrum.i18n import _
from electrum.util import log_exceptions, ignore_exc... | 37.896907 | 118 | 0.616159 | import asyncio
import hashlib
import json
import sys
import traceback
from typing import Union, TYPE_CHECKING
import base64
from electrum.plugin import BasePlugin, hook
from electrum.crypto import aes_encrypt_with_iv, aes_decrypt_with_iv
from electrum.i18n import _
from electrum.util import log_exceptions, ignore_exc... | true | true |
f72b2ad2a58898693037001dda7e833ae44efbc4 | 682 | py | Python | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/structures/kdtree.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | from scipy.spatial import cKDTree
from .base import Structure
class KDTree(cKDTree, Structure):
def __init__(self, *, points, leafsize=16, compact_nodes=False, balanced_tree=False):
Structure.__init__(self, points=points)
self._leafsize = leafsize
self._compact_nodes = compact_nodes
... | 31 | 96 | 0.66129 | from scipy.spatial import cKDTree
from .base import Structure
class KDTree(cKDTree, Structure):
def __init__(self, *, points, leafsize=16, compact_nodes=False, balanced_tree=False):
Structure.__init__(self, points=points)
self._leafsize = leafsize
self._compact_nodes = compact_nodes
... | true | true |
f72b2b40cbc83a0f7d47d5e52998f5659b19648e | 1,216 | py | Python | facemask.py | bhargavyagnik/FaceMaskDetection | 990c41a921a2a8a7760492a8dd21e4ab51391e51 | [
"MIT"
] | null | null | null | facemask.py | bhargavyagnik/FaceMaskDetection | 990c41a921a2a8a7760492a8dd21e4ab51391e51 | [
"MIT"
] | null | null | null | facemask.py | bhargavyagnik/FaceMaskDetection | 990c41a921a2a8a7760492a8dd21e4ab51391e51 | [
"MIT"
] | null | null | null | import tensorflow as tf
import cv2
import numpy as np
model = tf.keras.models.load_model('saved_model/model_3.h5')
face_clsfr = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
source = cv2.VideoCapture(1)
labels_dict = {0: 'with_mask', 1: 'without_mask'}
color_dict = {0: (0, 255, 0), 1: (0, 0,... | 30.4 | 75 | 0.578947 | import tensorflow as tf
import cv2
import numpy as np
model = tf.keras.models.load_model('saved_model/model_3.h5')
face_clsfr = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
source = cv2.VideoCapture(1)
labels_dict = {0: 'with_mask', 1: 'without_mask'}
color_dict = {0: (0, 255, 0), 1: (0, 0,... | true | true |
f72b2cd039ad9416819b474d149c3f6fbea635ff | 20,451 | py | Python | archive/canvas_test_6.py | bperez7/moments_models | d83e67b5d85f611ebf8dc10bc0d7569c962a37c2 | [
"BSD-2-Clause"
] | null | null | null | archive/canvas_test_6.py | bperez7/moments_models | d83e67b5d85f611ebf8dc10bc0d7569c962a37c2 | [
"BSD-2-Clause"
] | null | null | null | archive/canvas_test_6.py | bperez7/moments_models | d83e67b5d85f611ebf8dc10bc0d7569c962a37c2 | [
"BSD-2-Clause"
] | null | null | null | import cv2
import os
import time
import subprocess
#from matplotlib import pyplot as plt
import numpy as np
#from test_video import get_predictions_results
#cam_capture = cv2.VideoCapture(0)
#cv2.destroyAllWindows()
""" TODO:
1. Start video at specified time
2. Right click to indicate trimming points
3. Output file n... | 33.691928 | 156 | 0.509413 | import cv2
import os
import time
import subprocess
import numpy as np
frame_time = 10
frame_count = 0
global_trim_time = None
crop_started = False
class VideoCropTool:
def __init__(self, video_path, output_file, output_folder, video_start_time,
capture, output_label, time_window_on = F... | true | true |
f72b2cffb7796783443939305fa1035e7ad944b2 | 13,043 | py | Python | cltk/tests/test_nlp/test_tag.py | mcnorton05/cltk | 80dbbd6ee378ed4a6dd1723e4405e314b25f1638 | [
"MIT"
] | 1 | 2020-05-01T08:21:22.000Z | 2020-05-01T08:21:22.000Z | cltk/tests/test_nlp/test_tag.py | ecomp-shONgit/cltk | 7bc3ffd1bbbfa5d036297395d7e51b99b25b81ea | [
"MIT"
] | null | null | null | cltk/tests/test_nlp/test_tag.py | ecomp-shONgit/cltk | 7bc3ffd1bbbfa5d036297395d7e51b99b25b81ea | [
"MIT"
] | null | null | null | """Test cltk.tag."""
import os
import shutil
import unittest
from cltk.corpus.utils.importer import CorpusImporter
from cltk.stem.latin.j_v import JVReplacer
from cltk.tag import ner
from cltk.tag.ner import NamedEntityReplacer
from cltk.tag.pos import POSTag
__license__ = 'MIT License. See LICENSE.'
class TestSeq... | 47.952206 | 230 | 0.662501 |
import os
import shutil
import unittest
from cltk.corpus.utils.importer import CorpusImporter
from cltk.stem.latin.j_v import JVReplacer
from cltk.tag import ner
from cltk.tag.ner import NamedEntityReplacer
from cltk.tag.pos import POSTag
__license__ = 'MIT License. See LICENSE.'
class TestSequenceFunctions(unitte... | true | true |
f72b2f24626e265d01ae282b3f14a253aa950b3b | 307 | py | Python | src/dataleach/__init__.py | janies/dataleach | cf8c8784f3fe44cf8f89b7174ba36cb6c56d49d7 | [
"BSD-3-Clause"
] | 1 | 2021-11-08T13:57:52.000Z | 2021-11-08T13:57:52.000Z | src/dataleach/tests/dataleach/sources/__init__.py | janies/dataleach | cf8c8784f3fe44cf8f89b7174ba36cb6c56d49d7 | [
"BSD-3-Clause"
] | null | null | null | src/dataleach/tests/dataleach/sources/__init__.py | janies/dataleach | cf8c8784f3fe44cf8f89b7174ba36cb6c56d49d7 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# Copyright © 2010, RedJack, LLC.
# All rights reserved.
#
# Please see the LICENSE.txt file in this distribution for license
# details.
# ----------------------------------------------------------------------
| 34.111111 | 72 | 0.361564 | true | true | |
f72b2fafee0e530b65dccaf38409dffa74760181 | 3,545 | py | Python | hddcoin/timelord/timelord_launcher.py | JakubSido/hddcoin-blockchain | 7b9da03edee3512295c0f142c07c4759512ccbca | [
"Apache-2.0"
] | null | null | null | hddcoin/timelord/timelord_launcher.py | JakubSido/hddcoin-blockchain | 7b9da03edee3512295c0f142c07c4759512ccbca | [
"Apache-2.0"
] | null | null | null | hddcoin/timelord/timelord_launcher.py | JakubSido/hddcoin-blockchain | 7b9da03edee3512295c0f142c07c4759512ccbca | [
"Apache-2.0"
] | null | null | null | import asyncio
import logging
import pathlib
import signal
import socket
import time
from typing import Dict, List
import pkg_resources
from hddcoin.util.hddcoin_logging import initialize_logging
from hddcoin.util.config import load_config
from hddcoin.util.default_root import DEFAULT_ROOT_PATH
from hddcoin.util.setp... | 30.560345 | 87 | 0.655289 | import asyncio
import logging
import pathlib
import signal
import socket
import time
from typing import Dict, List
import pkg_resources
from hddcoin.util.hddcoin_logging import initialize_logging
from hddcoin.util.config import load_config
from hddcoin.util.default_root import DEFAULT_ROOT_PATH
from hddcoin.util.setp... | true | true |
f72b3050bfccbe4c42d8488a0a707b9ddf77dbd2 | 485 | py | Python | scripts/venv/Scripts/easy_install-3.7-script.py | michaelfaerber/Agnos | b4b6ff9cdca9090fb426f1fc2cead8e5ef4ad9bf | [
"MIT"
] | null | null | null | scripts/venv/Scripts/easy_install-3.7-script.py | michaelfaerber/Agnos | b4b6ff9cdca9090fb426f1fc2cead8e5ef4ad9bf | [
"MIT"
] | 3 | 2021-12-10T01:22:05.000Z | 2021-12-14T21:33:16.000Z | scripts/venv/Scripts/easy_install-3.7-script.py | michaelfaerber/Agnos | b4b6ff9cdca9090fb426f1fc2cead8e5ef4ad9bf | [
"MIT"
] | null | null | null | #!K:\2018_SS\BMW_Thesis\workspace_bmw\Thesis_KG_Agnostic_EL\scripts\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install-3.7'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[... | 37.307692 | 91 | 0.709278 | __requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
load_entry_point('setuptools==39.1.0', 'console_scripts', 'easy_install-3.7')()
)
| true | true |
f72b30581d8ef30df8d3b88fde755c65a6390087 | 15,737 | py | Python | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | dssm/data_input.py | nlpming/tensorflow-DSMM | dc982cc49bf03f474da2895e4dd4fb37061c0271 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding=utf-8
from inspect import getblock
import json
import os
from os import read
from numpy.core.fromnumeric import mean
import numpy as np
import paddlehub as hub
import six
import math
import random
import sys
from util import read_file
from config import Config
# 配置文件
conf = Config()
c... | 37.20331 | 129 | 0.599797 | from inspect import getblock
import json
import os
from os import read
from numpy.core.fromnumeric import mean
import numpy as np
import paddlehub as hub
import six
import math
import random
import sys
from util import read_file
from config import Config
conf = Config()
class Vocabulary(object):
def __init__(self... | true | true |
f72b319c6f56785827dd2160e2b9d041dde23ada | 5,281 | py | Python | experiments/ashvin/icml2020/hand/brac/test_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/brac/test_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/brac/test_video1.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment, process_args
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
from rlkit.torch.sac.policies im... | 30.883041 | 80 | 0.566938 |
from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from rlkit.launchers.experiments.awac.awac_rl import experiment, process_args
import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.arglauncher import run_variants
from rlkit.torch.sac.policies import GaussianPolicy
from rlkit.torch.ne... | true | true |
f72b32a4095f35d7bed6ab5e19378d3c4f4d06be | 1,876 | py | Python | tests/test_airconditioning.py | izumi-system-arai/builelib | ae7c36df1ef7477e9a0356559b2694aabff11bb3 | [
"MIT"
] | 5 | 2020-09-04T13:56:45.000Z | 2022-03-06T05:46:55.000Z | tests/test_airconditioning.py | izumi-system-arai/builelib | ae7c36df1ef7477e9a0356559b2694aabff11bb3 | [
"MIT"
] | 1 | 2021-08-17T07:11:42.000Z | 2021-08-17T07:11:42.000Z | tests/test_airconditioning.py | izumi-system-arai/builelib | ae7c36df1ef7477e9a0356559b2694aabff11bb3 | [
"MIT"
] | 2 | 2021-07-06T09:41:20.000Z | 2021-08-02T08:47:13.000Z | import pandas as pd
import csv
from builelib import airconditioning
import pytest
import json
import xlrd
### テストファイル名 ###
# 辞書型 テスト名とファイル名
testcase_dict = {
"AHU_basic": "./tests/airconditioning/★空調設備テストケース一覧.xlsx",
}
def convert2number(x, default):
'''
空欄にデフォルト値を代入する
'''
if x == "":
x ... | 21.563218 | 92 | 0.647122 | import pandas as pd
import csv
from builelib import airconditioning
import pytest
import json
import xlrd
testcase_dict = {
"AHU_basic": "./tests/airconditioning/★空調設備テストケース一覧.xlsx",
}
def convert2number(x, default):
if x == "":
x = default
else:
x = float(x)
return x
def read_test... | true | true |
f72b338ae3488cd29a445fe80006558b89a53eb0 | 3,209 | py | Python | API/moviepiapi/utils.py | theoarmengou/MoviePi | b889ed1609e3db096b86452e3ca608822edcdb1a | [
"MIT"
] | 1 | 2020-01-08T12:09:14.000Z | 2020-01-08T12:09:14.000Z | API/moviepiapi/utils.py | theoarmengou/MoviePi | b889ed1609e3db096b86452e3ca608822edcdb1a | [
"MIT"
] | null | null | null | API/moviepiapi/utils.py | theoarmengou/MoviePi | b889ed1609e3db096b86452e3ca608822edcdb1a | [
"MIT"
] | 1 | 2020-10-30T10:33:19.000Z | 2020-10-30T10:33:19.000Z | ##
# EPITECH PROJECT, 2019
# MoviePi
# File description:
# utils.py
##
import datetime
import jwt
from moviepiapi.dbHelper import dbHelper
from moviepiapi.userHelper import userHelper
ret_packet = {'responseStatus': 0, 'message': "", 'data': any}
Key = 'MoviePiTheoAudreyHicham'
LEN_MAX_USER = 255
db = dbHelper('movi... | 30.561905 | 100 | 0.621377 |
import datetime
import jwt
from moviepiapi.dbHelper import dbHelper
from moviepiapi.userHelper import userHelper
ret_packet = {'responseStatus': 0, 'message': "", 'data': any}
Key = 'MoviePiTheoAudreyHicham'
LEN_MAX_USER = 255
db = dbHelper('moviepi_api', 'moviepi_api', 'moviepi', '51.75.141.254')
userH = userHelper... | true | true |
f72b33a87fd87b89f914f36a973b364e5a397d6d | 471 | py | Python | basics/src/simple_action_client.py | jescasany/rosbook | a79258e7fa80eb4f8745850125d6b2e462a62dee | [
"Apache-2.0"
] | null | null | null | basics/src/simple_action_client.py | jescasany/rosbook | a79258e7fa80eb4f8745850125d6b2e462a62dee | [
"Apache-2.0"
] | null | null | null | basics/src/simple_action_client.py | jescasany/rosbook | a79258e7fa80eb4f8745850125d6b2e462a62dee | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
import roslib; roslib.load_manifest('basics')
import rospy
import actionlib
from basics.msg import TimerAction, TimerGoal, TimerResult
rospy.init_node('timer_action_client')
client = actionlib.SimpleActionClient('timer', TimerAction)
client.wait_for_server()
goal = TimerGoal()
goal.time_to_wait... | 27.705882 | 69 | 0.794055 | import roslib; roslib.load_manifest('basics')
import rospy
import actionlib
from basics.msg import TimerAction, TimerGoal, TimerResult
rospy.init_node('timer_action_client')
client = actionlib.SimpleActionClient('timer', TimerAction)
client.wait_for_server()
goal = TimerGoal()
goal.time_to_wait = rospy.Duration.from_... | true | true |
f72b34ac6ea7004cf31e6dccd1805b12ef0d95bf | 2,106 | py | Python | gmprocess/waveform_processing/clipping/clipping_check.py | baagaard-usgs/groundmotion-processing | 6be2b4460d598bba0935135efa85af2655578565 | [
"Unlicense"
] | null | null | null | gmprocess/waveform_processing/clipping/clipping_check.py | baagaard-usgs/groundmotion-processing | 6be2b4460d598bba0935135efa85af2655578565 | [
"Unlicense"
] | null | null | null | gmprocess/waveform_processing/clipping/clipping_check.py | baagaard-usgs/groundmotion-processing | 6be2b4460d598bba0935135efa85af2655578565 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from obspy.geodetics.base import gps2dist_azimuth
from gmprocess.waveform_processing.clipping.clipping_ann import clipNet
from gmprocess.waveform_processing.clipping.max_amp import Max_Amp
from gmprocess.waveform_processing.clipping.histogram import Hi... | 26.658228 | 79 | 0.646724 |
import numpy as np
from obspy.geodetics.base import gps2dist_azimuth
from gmprocess.waveform_processing.clipping.clipping_ann import clipNet
from gmprocess.waveform_processing.clipping.max_amp import Max_Amp
from gmprocess.waveform_processing.clipping.histogram import Histogram
from gmprocess.waveform_processing.cli... | true | true |
f72b36d5fb0cf98eeb2d459b179cfde55b038f13 | 2,311 | py | Python | model.py | bhardwajRahul/RestaurantAPI | 28d7fcd3fbe0524750321102625d8475515f54ed | [
"MIT"
] | 15 | 2018-06-03T16:35:16.000Z | 2022-02-13T16:36:37.000Z | model.py | bhardwajRahul/RestaurantAPI | 28d7fcd3fbe0524750321102625d8475515f54ed | [
"MIT"
] | 2 | 2019-02-11T07:03:09.000Z | 2021-02-25T09:16:15.000Z | model.py | navi25/RestaurantAPI | 28d7fcd3fbe0524750321102625d8475515f54ed | [
"MIT"
] | 9 | 2019-02-08T11:17:34.000Z | 2022-01-29T00:27:14.000Z | from flask import Flask
from marshmallow import Schema, fields, pre_load, validate
from flask_marshmallow import Marshmallow
from flask_sqlalchemy import SQLAlchemy
from flask_redis import FlaskRedis
ma = Marshmallow()
db = SQLAlchemy()
redis_cache = FlaskRedis()
class FoodModel(db.Model):
__tablename__ = 'foods'... | 35.553846 | 110 | 0.719169 | from flask import Flask
from marshmallow import Schema, fields, pre_load, validate
from flask_marshmallow import Marshmallow
from flask_sqlalchemy import SQLAlchemy
from flask_redis import FlaskRedis
ma = Marshmallow()
db = SQLAlchemy()
redis_cache = FlaskRedis()
class FoodModel(db.Model):
__tablename__ = 'foods'... | true | true |
f72b36f1c01c85d1f6f16819bc764c32780c7fb6 | 22,006 | py | Python | sdk/python/pulumi_azure_native/databoxedge/v20200501preview/share.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/databoxedge/v20200501preview/share.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/databoxedge/v20200501preview/share.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 48.578366 | 1,294 | 0.668045 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
from ._inputs import *
__all__ = ['ShareArgs', 'Share']
@pulumi.input_type
class ShareArgs:
def __init__(__self__, *,
... | true | true |
f72b36f52912edb8de8bb2207281239f45df89b6 | 2,134 | py | Python | demo/orm.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | demo/orm.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | demo/orm.py | 1987539447/start-python | 06ee5eb30e7395cd8432e8e33d7209fa855f4ad9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# FileName:orm.py
# -*- coding: utf-8 -*-
""" 通过元类实现简单的ORM框剪 """
class Field(object):
def __init__(self, name, column_type):
self.name = name
self.column_type = column_type
def __str__(self):
return '<%s:%s>' % (self.__class__.__name__, self.name)
class Intege... | 27.012658 | 101 | 0.56701 |
class Field(object):
def __init__(self, name, column_type):
self.name = name
self.column_type = column_type
def __str__(self):
return '<%s:%s>' % (self.__class__.__name__, self.name)
class IntegerField(Field):
def __init__(self, name):
super(IntegerField, self).__init__(... | true | true |
f72b389f11090c3291e690acc9bf38811dce7cae | 1,162 | py | Python | src/tests/ftest/util/oclass_utils.py | cibervicho/daos | 3868c758c696d0a7973ac2b93b56d986fabfc6e0 | [
"BSD-2-Clause-Patent"
] | null | null | null | src/tests/ftest/util/oclass_utils.py | cibervicho/daos | 3868c758c696d0a7973ac2b93b56d986fabfc6e0 | [
"BSD-2-Clause-Patent"
] | null | null | null | src/tests/ftest/util/oclass_utils.py | cibervicho/daos | 3868c758c696d0a7973ac2b93b56d986fabfc6e0 | [
"BSD-2-Clause-Patent"
] | null | null | null | #!/usr/bin/env python3
"""
(C) Copyright 2018-2022 Intel Corporation.
SPDX-License-Identifier: BSD-2-Clause-Patent
"""
import re
def extract_redundancy_factor(oclass):
"""Extract the redundancy factor from an object class.
Args:
oclass (str): the object class.
Returns:
int: the redu... | 23.714286 | 76 | 0.593804 |
import re
def extract_redundancy_factor(oclass):
match = re.search("EC_[0-9]+P([0-9])+", oclass)
if match:
return int(match.group(1))
match = re.search("RP_([0-9]+)", oclass)
if match:
return int(match.group(1)) - 1
return 0
def calculate_min_servers(oclass):
patterns = [
... | true | true |
f72b3967e92f28affb77f904b54628581c7af2bf | 7,799 | py | Python | galaxy/api/v2/tests/test_collection_views.py | bmclaughlin/galaxy | 3f57e3684c27cb88d45881eaec16dc3095ac4e6d | [
"Apache-2.0"
] | 904 | 2016-10-11T13:35:19.000Z | 2022-03-25T09:29:09.000Z | galaxy/api/v2/tests/test_collection_views.py | bmclaughlin/galaxy | 3f57e3684c27cb88d45881eaec16dc3095ac4e6d | [
"Apache-2.0"
] | 1,866 | 2016-10-15T21:28:09.000Z | 2022-03-29T18:09:20.000Z | galaxy/api/v2/tests/test_collection_views.py | bmclaughlin/galaxy | 3f57e3684c27cb88d45881eaec16dc3095ac4e6d | [
"Apache-2.0"
] | 368 | 2016-10-11T13:44:08.000Z | 2022-03-30T02:23:12.000Z | # (c) 2012-2019, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
... | 36.443925 | 79 | 0.62149 | import hashlib
from unittest import mock
import os
import tempfile
import shutil
import tarfile
from contextlib import contextmanager
from django.contrib.auth import get_user_model
from rest_framework.test import APITestCase
from rest_framework import status as http_codes
from galaxy.main import models
UserModel = g... | true | true |
f72b39da0ed6829e91b76ba1b8864ebef44e2299 | 1,043 | py | Python | cortex/options.py | lembert1990/pycortex | f1cd6abb5e193d0b7ec120107268dbbbf3a002fc | [
"BSD-2-Clause"
] | null | null | null | cortex/options.py | lembert1990/pycortex | f1cd6abb5e193d0b7ec120107268dbbbf3a002fc | [
"BSD-2-Clause"
] | null | null | null | cortex/options.py | lembert1990/pycortex | f1cd6abb5e193d0b7ec120107268dbbbf3a002fc | [
"BSD-2-Clause"
] | 1 | 2019-03-04T02:45:59.000Z | 2019-03-04T02:45:59.000Z | import os
try:
import configparser
except ImportError:
import ConfigParser as configparser
from . import appdirs
cwd = os.path.split(os.path.abspath(__file__))[0]
userdir = appdirs.user_data_dir("pycortex", "JamesGao")
usercfg = os.path.join(userdir, "options.cfg")
# Read defaults from pycortex repo
config = ... | 33.645161 | 89 | 0.731544 | import os
try:
import configparser
except ImportError:
import ConfigParser as configparser
from . import appdirs
cwd = os.path.split(os.path.abspath(__file__))[0]
userdir = appdirs.user_data_dir("pycortex", "JamesGao")
usercfg = os.path.join(userdir, "options.cfg")
config = configparser.ConfigParser()
config.... | true | true |
f72b39f30657384a75e0bf6bea346fedfc2a5b53 | 784 | py | Python | users/migrations/0002_auto_20200807_1424.py | Hogwarts250/lesson-discussion | 42aa0d5d4e4a8cb10c99ff7558e9d7a5f2f3e470 | [
"Apache-2.0"
] | null | null | null | users/migrations/0002_auto_20200807_1424.py | Hogwarts250/lesson-discussion | 42aa0d5d4e4a8cb10c99ff7558e9d7a5f2f3e470 | [
"Apache-2.0"
] | 4 | 2021-04-08T19:49:25.000Z | 2021-06-10T20:08:37.000Z | users/migrations/0002_auto_20200807_1424.py | Hogwarts250/lesson-discussion | 42aa0d5d4e4a8cb10c99ff7558e9d7a5f2f3e470 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.9 on 2020-08-07 21:24
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AddField(
... | 30.153846 | 144 | 0.653061 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='transaction',
name='buy... | true | true |
f72b3a24ac71bb8d2a6c614a0679f5609ec4ff65 | 1,051 | py | Python | fedex/services/tracking.py | jzempel/fedex | 9c617767799217a80669c1ecca0c3a7667f82d71 | [
"BSD-3-Clause"
] | 19 | 2015-02-02T03:00:54.000Z | 2021-09-06T02:22:22.000Z | fedex/services/tracking.py | hongzhou-liu/fedex | 9c617767799217a80669c1ecca0c3a7667f82d71 | [
"BSD-3-Clause"
] | 2 | 2015-08-14T22:05:17.000Z | 2017-03-01T18:54:40.000Z | fedex/services/tracking.py | hongzhou-liu/fedex | 9c617767799217a80669c1ecca0c3a7667f82d71 | [
"BSD-3-Clause"
] | 53 | 2015-03-31T14:46:30.000Z | 2022-01-02T15:06:38.000Z | # -*- coding: utf-8 -*-
"""
fedex.services.tracking
~~~~~~~~~~~~~~~~~~~~~~~
FedEx tracking web services.
:copyright: 2014 by Jonathan Zempel.
:license: BSD, see LICENSE for more details.
"""
from .commons import BaseService
class TrackingService(BaseService):
"""Tracking service.
:para... | 26.275 | 73 | 0.636537 |
from .commons import BaseService
class TrackingService(BaseService):
def __init__(self, configuration, wsdl_version=10):
super(TrackingService, self).__init__(configuration, "Track",
wsdl_version, "trck")
def create_selection_details(self):
return self.create("TrackSelection... | true | true |
f72b3aaaffce70e47700f8e60f660a0f8a235566 | 810 | py | Python | utils/logger.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 2 | 2021-09-26T07:03:54.000Z | 2022-02-21T15:46:30.000Z | utils/logger.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | null | null | null | utils/logger.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 1 | 2021-04-16T06:11:41.000Z | 2021-04-16T06:11:41.000Z | import logging
import time
import os
import sys
def create_logger(final_output_path, description=None):
if description is None:
log_file = '{}.log'.format(time.strftime('%Y-%m-%d-%H-%M'))
else:
log_file = '{}_{}.log'.format(time.strftime('%Y-%m-%d-%H-%M'), description)
head = '%(asctime)-1... | 33.75 | 89 | 0.653086 | import logging
import time
import os
import sys
def create_logger(final_output_path, description=None):
if description is None:
log_file = '{}.log'.format(time.strftime('%Y-%m-%d-%H-%M'))
else:
log_file = '{}_{}.log'.format(time.strftime('%Y-%m-%d-%H-%M'), description)
head = '%(asctime)-1... | true | true |
f72b3aca2cee2eefced9efcef5337ee9bdadcbda | 719 | py | Python | arrays/height_checker.py | ChristianChiarulli/leetcode | 6920cea51b61feae9038b185c0b1172a93f6316a | [
"MIT"
] | 4 | 2020-12-09T03:53:21.000Z | 2021-03-30T12:28:21.000Z | .old/arrays/height_checker.py | ChristianChiarulli/data_structures_and_algorithms | 05c5c7c9db0cc0a15e83ba20d5bf4f6534b08fc1 | [
"MIT"
] | null | null | null | .old/arrays/height_checker.py | ChristianChiarulli/data_structures_and_algorithms | 05c5c7c9db0cc0a15e83ba20d5bf4f6534b08fc1 | [
"MIT"
] | 2 | 2020-06-12T17:00:07.000Z | 2020-07-13T20:13:56.000Z | # Students are asked to stand in non-decreasing
# order of heights for an annual photo.
# Return the minimum number of students that must
# move in order for all students to be standing in
# non-decreasing order of height.
# Notice that when a group of students is selected
# they can reorder in any possible way betwe... | 25.678571 | 57 | 0.707928 |
def heightchecker(heights):
swap_count = 0
sorted_heights = sorted(heights)
if heights == sorted_heights:
return swap_count
for i in range(len(heights)):
if heights[i] != sorted_heights[i]:
swap_count += 1
return swap_count
heights = [1, 1, 4, 2, 1, 3]
heightcheck... | true | true |
f72b3ae733f2a861d7932c76a99b7695e4c0bcce | 842 | py | Python | lstmcpipe/scripts/script_merge_utils_move_dir.py | cta-observatory/lst-i-rf | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 2 | 2021-02-01T17:30:46.000Z | 2021-02-22T13:59:49.000Z | lstmcpipe/scripts/script_merge_utils_move_dir.py | cta-observatory/lst-i-rf | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 106 | 2021-04-16T21:15:20.000Z | 2022-03-31T23:02:50.000Z | lstmcpipe/scripts/script_merge_utils_move_dir.py | cta-observatory/lstmcpipe | 7a634e0b3b07dda2b20df47875d97616eab65821 | [
"MIT"
] | 3 | 2022-03-02T09:23:09.000Z | 2022-03-03T16:00:25.000Z | #!/usr/bin/env python
import argparse
from lstmcpipe.io.data_management import (
move_dir_content,
check_and_make_dir_without_verification,
)
parser = argparse.ArgumentParser(
description="Script to move a directory and its content after creating the destination"
" directory."
)
parser.add_argument(
... | 20.536585 | 91 | 0.704276 |
import argparse
from lstmcpipe.io.data_management import (
move_dir_content,
check_and_make_dir_without_verification,
)
parser = argparse.ArgumentParser(
description="Script to move a directory and its content after creating the destination"
" directory."
)
parser.add_argument(
"--source",
"-... | true | true |
f72b3cc7e9db8fe13e7966a92394dc17106664c7 | 82,459 | py | Python | fpn/symbols/resnet_v1_101_fpn_rcnn.py | YAMLONG/Deformable-ConvNets | ea937451e103ba1fbf4fdcbd08ef3ca1ca832ef4 | [
"Apache-2.0"
] | 2 | 2018-10-24T01:47:49.000Z | 2020-05-30T15:23:02.000Z | fpn/symbols/resnet_v1_101_fpn_rcnn.py | YAMLONG/Deformable-ConvNets | ea937451e103ba1fbf4fdcbd08ef3ca1ca832ef4 | [
"Apache-2.0"
] | null | null | null | fpn/symbols/resnet_v1_101_fpn_rcnn.py | YAMLONG/Deformable-ConvNets | ea937451e103ba1fbf4fdcbd08ef3ca1ca832ef4 | [
"Apache-2.0"
] | 1 | 2018-03-29T11:47:01.000Z | 2018-03-29T11:47:01.000Z | # --------------------------------------------------------
# Deformable Convolutional Networks
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Written by Haozhi Qi
# --------------------------------------------------------
import cPickle
import mxnet as mx
from utils.... | 85.009278 | 180 | 0.613323 |
import cPickle
import mxnet as mx
from utils.symbol import Symbol
from operator_py.pyramid_proposal import *
from operator_py.proposal_target import *
from operator_py.fpn_roi_pooling import *
from operator_py.box_annotator_ohem import *
class resnet_v1_101_fpn_rcnn(Symbol):
def __init__(self):
self.shar... | true | true |
f72b3fd1a230b5adaf1f4d92129a73ad00db5a0e | 618 | py | Python | spider/main.py | ly-520/cbec-toolbox | e60dac81bec0403cf2e7cfd3ae216a8fc9cad343 | [
"Apache-2.0"
] | null | null | null | spider/main.py | ly-520/cbec-toolbox | e60dac81bec0403cf2e7cfd3ae216a8fc9cad343 | [
"Apache-2.0"
] | null | null | null | spider/main.py | ly-520/cbec-toolbox | e60dac81bec0403cf2e7cfd3ae216a8fc9cad343 | [
"Apache-2.0"
] | 1 | 2021-04-26T08:20:43.000Z | 2021-04-26T08:20:43.000Z | import logging
import flask
from controller.goods_controller import *
from controller.order_controller import *
from common.exception_advice import *
app = flask.Flask(__name__)
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message... | 25.75 | 102 | 0.708738 | import logging
import flask
from controller.goods_controller import *
from controller.order_controller import *
from common.exception_advice import *
app = flask.Flask(__name__)
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message... | true | true |
f72b4000190522de1de32f143323c9268b7fabb6 | 658 | py | Python | test/test_add_contact.py | olesya-sharafislamova/python_training | 10369f4988261005451f47d5f4242521a0de6b69 | [
"Apache-2.0"
] | 1 | 2019-06-03T15:24:53.000Z | 2019-06-03T15:24:53.000Z | test/test_add_contact.py | olesya-sharafislamova/python_training | 10369f4988261005451f47d5f4242521a0de6b69 | [
"Apache-2.0"
] | null | null | null | test/test_add_contact.py | olesya-sharafislamova/python_training | 10369f4988261005451f47d5f4242521a0de6b69 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.contact import Contact
import pytest
def test_add_contact(app, db, json_contacts):
contact = json_contacts
with pytest.allure.step('Given a Contact list'):
old_contacts = db.get_contact_list()
with pytest.allure.step('When I add a contact %s to the list' % conta... | 27.416667 | 105 | 0.702128 |
from model.contact import Contact
import pytest
def test_add_contact(app, db, json_contacts):
contact = json_contacts
with pytest.allure.step('Given a Contact list'):
old_contacts = db.get_contact_list()
with pytest.allure.step('When I add a contact %s to the list' % contact):
app.contact... | true | true |
f72b41cfb72a15d0999c4d3c54c0b25cae7907ac | 1,379 | py | Python | cnf/tests/conftest.py | nyck33/my_cnf | 9ca2b169efec4e84fa63c3b8d68a78e4c3a27ea7 | [
"Apache-2.0"
] | null | null | null | cnf/tests/conftest.py | nyck33/my_cnf | 9ca2b169efec4e84fa63c3b8d68a78e4c3a27ea7 | [
"Apache-2.0"
] | null | null | null | cnf/tests/conftest.py | nyck33/my_cnf | 9ca2b169efec4e84fa63c3b8d68a78e4c3a27ea7 | [
"Apache-2.0"
] | null | null | null | """
conftest.py pytest_fixtures can be accessed by multiple test files
test function has fixture func name as param, then fixture func called and result
passed to test func
added localhost.localdomain to /etc/hosts
"""
import pytest
from cnf.main import setup_app
import pymongo
config_name = 'testing'
the_app = setup... | 24.192982 | 81 | 0.648296 | import pytest
from cnf.main import setup_app
import pymongo
config_name = 'testing'
the_app = setup_app(config_name, dict(
TESTING=True,
LOGIN_DISABLED=False,
MAIL_SUPPRESS_SEND=True,
SERVER_NAME='localhost.localdomain',
... | true | true |
f72b41deca8203786bd3da834a3d9db8b40ffee7 | 14,866 | py | Python | tensorflow_data_validation/statistics/stats_options.py | Mikehem/tfx | e803ea6778d8550ec77dcc92bc8172f1a3a90f38 | [
"Apache-2.0"
] | null | null | null | tensorflow_data_validation/statistics/stats_options.py | Mikehem/tfx | e803ea6778d8550ec77dcc92bc8172f1a3a90f38 | [
"Apache-2.0"
] | null | null | null | tensorflow_data_validation/statistics/stats_options.py | Mikehem/tfx | e803ea6778d8550ec77dcc92bc8172f1a3a90f38 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 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 agreed to in writing, ... | 43.852507 | 80 | 0.735907 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import json
import types as python_types
from typing import Dict, List, Optional, Text
from tensorflow_data_validation import types
from tensorflow_data_validation.statistics.generators import st... | true | true |
f72b42d5c27b87418372e74671846c4f0f9ab98a | 3,825 | py | Python | tests/extension/thread_/stream_reduce_arg_max/thread_stream_reduce_arg_max.py | jesseclin/veriloggen | a645f2c53f04e5b88213eef17779d212192ea2b5 | [
"Apache-2.0"
] | null | null | null | tests/extension/thread_/stream_reduce_arg_max/thread_stream_reduce_arg_max.py | jesseclin/veriloggen | a645f2c53f04e5b88213eef17779d212192ea2b5 | [
"Apache-2.0"
] | null | null | null | tests/extension/thread_/stream_reduce_arg_max/thread_stream_reduce_arg_max.py | jesseclin/veriloggen | a645f2c53f04e5b88213eef17779d212192ea2b5 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
import sys
import os
# the next line can be removed after installation
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))))
from veriloggen import *
import ve... | 27.12766 | 87 | 0.602092 | from __future__ import absolute_import
from __future__ import print_function
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))))
from veriloggen import *
import veriloggen.thread as vthread
import veriloggen.types... | true | true |
f72b4311c1c935e36ff12b3275ecdd0411d9a83c | 2,457 | py | Python | solfasol/shop/migrations/0004_auto_20201004_2111.py | rekognize/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | null | null | null | solfasol/shop/migrations/0004_auto_20201004_2111.py | rekognize/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | 1 | 2020-06-18T13:08:47.000Z | 2020-06-18T13:08:47.000Z | solfasol/shop/migrations/0004_auto_20201004_2111.py | Solfasol/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-10-04 18:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('issues', '0009_auto_20200918_0020'),
('shop', '0003_auto_20201004_2109'),
]
operations = [
migratio... | 40.95 | 142 | 0.580383 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('issues', '0009_auto_20200918_0020'),
('shop', '0003_auto_20201004_2109'),
]
operations = [
migrations.CreateModel(
name='Cart',
... | true | true |
f72b433198e89063d5e6f1584dc14c04ef6a68fb | 2,261 | py | Python | tests/test_mixture_transitions.py | probcomp/cgpm2 | 280ab5bf3dd0d7c61196deaff7cb590692fc412a | [
"Apache-2.0"
] | 3 | 2019-01-20T08:55:06.000Z | 2019-12-02T05:59:26.000Z | tests/test_mixture_transitions.py | probcomp/cgpm2 | 280ab5bf3dd0d7c61196deaff7cb590692fc412a | [
"Apache-2.0"
] | null | null | null | tests/test_mixture_transitions.py | probcomp/cgpm2 | 280ab5bf3dd0d7c61196deaff7cb590692fc412a | [
"Apache-2.0"
] | 3 | 2019-08-06T07:27:34.000Z | 2019-09-28T23:26:57.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2018 MIT Probabilistic Computing Project.
# Released under Apache 2.0; refer to LICENSE.txt.
from collections import Counter
import numpy as np
from cgpm.utils.general import get_prng
from cgpm2.crp import CRP
from cgpm2.normal import Normal
from cgpm2.flexible_rowmix impor... | 37.065574 | 80 | 0.689518 |
from collections import Counter
import numpy as np
from cgpm.utils.general import get_prng
from cgpm2.crp import CRP
from cgpm2.normal import Normal
from cgpm2.flexible_rowmix import FlexibleRowMixture
from cgpm2.transition_hypers import transition_hyper_grids
from cgpm2.transition_hypers import transition_hyper... | true | true |
f72b440bbd74e2d435413383ae7761a669cd513a | 68,958 | py | Python | arelle/plugin/xbrlDB/XbrlSemanticSqlDB.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 1 | 2021-07-01T17:52:12.000Z | 2021-07-01T17:52:12.000Z | arelle/plugin/xbrlDB/XbrlSemanticSqlDB.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 3 | 2021-01-07T23:36:40.000Z | 2021-12-13T20:43:27.000Z | arelle/plugin/xbrlDB/XbrlSemanticSqlDB.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 2 | 2020-02-24T16:06:12.000Z | 2021-02-24T00:21:32.000Z | '''
XbrlSemanticSqlDB.py implements an SQL database interface for Arelle, based
on a concrete realization of the Abstract Model PWD 2.0 layer. This is a semantic
representation of XBRL information.
This module may save directly to a Postgres, MySQL, SQLite, MSSQL, or Oracle server.
This module provides the executi... | 58.5382 | 144 | 0.517068 |
import os, time, datetime, logging
from arelle.ModelDocument import Type
from arelle.ModelDtsObject import ModelConcept, ModelType, ModelResource, ModelRelationship
from arelle.ModelInstanceObject import ModelFact
from arelle.ModelXbrl import ModelXbrl
from arelle.ModelDocument import ModelDocument
from arelle.ModelOb... | true | true |
f72b45704b6b738dc155c0160abe96949099d9a7 | 13,758 | py | Python | spacegraphcats/catlas/catlas.py | mogproject/spacegraphcats | e21015daa8e2968c3076bd250c553aa20e6d912b | [
"BSD-3-Clause"
] | null | null | null | spacegraphcats/catlas/catlas.py | mogproject/spacegraphcats | e21015daa8e2968c3076bd250c553aa20e6d912b | [
"BSD-3-Clause"
] | null | null | null | spacegraphcats/catlas/catlas.py | mogproject/spacegraphcats | e21015daa8e2968c3076bd250c553aa20e6d912b | [
"BSD-3-Clause"
] | null | null | null | """Data structure for CAtlas."""
import argparse
import cProfile
import os
import sys
import tempfile
import gzip
import copy
from .rdomset import rdomset, domination_graph
from .graph_io import read_from_gxt, write_to_gxt
from .graph import Graph
from spacegraphcats.utils.logging import log_command
from io import Tex... | 36.590426 | 79 | 0.559674 |
import argparse
import cProfile
import os
import sys
import tempfile
import gzip
import copy
from .rdomset import rdomset, domination_graph
from .graph_io import read_from_gxt, write_to_gxt
from .graph import Graph
from spacegraphcats.utils.logging import log_command
from io import TextIOWrapper
from collections impor... | true | true |
f72b457385a4ebe5715f4121fb45c8d4b9cc7073 | 4,175 | py | Python | frontera/core/components.py | vy-labs/frontera | ba2c07470111270de090215dc4ebc051bbd8b7e0 | [
"BSD-3-Clause"
] | 1 | 2018-01-17T02:17:55.000Z | 2018-01-17T02:17:55.000Z | frontera/core/components.py | vy-labs/frontera | ba2c07470111270de090215dc4ebc051bbd8b7e0 | [
"BSD-3-Clause"
] | 16 | 2017-02-03T06:31:39.000Z | 2020-03-03T15:15:09.000Z | frontera/core/components.py | vy-labs/frontera | ba2c07470111270de090215dc4ebc051bbd8b7e0 | [
"BSD-3-Clause"
] | null | null | null | from abc import ABCMeta, abstractmethod
class Component(object):
"""
Interface definition for a frontier component
The :class:`Component <frontera.core.components.Component>` object is the base class for frontier
:class:`Middleware <frontera.core.components.Middleware>` and
:class:`Backend <fronte... | 31.390977 | 114 | 0.662275 | from abc import ABCMeta, abstractmethod
class Component(object):
__metaclass__ = ABCMeta
component_name = 'Base Component'
@abstractmethod
def frontier_start(self):
pass
@abstractmethod
def frontier_stop(self):
pass
@abstractmethod
def add_seeds(self, seeds):
... | true | true |
f72b4575023d53c977d16e195686c5c67ffc5f9f | 3,076 | py | Python | src/hypergraph.py | HKUST-KnowComp/HPHG | 48b704b28c217e4590edf4dd3c7825495dffb76e | [
"MIT"
] | 5 | 2019-08-31T11:00:40.000Z | 2021-04-15T10:05:35.000Z | src/hypergraph.py | HKUST-KnowComp/HPHG | 48b704b28c217e4590edf4dd3c7825495dffb76e | [
"MIT"
] | null | null | null | src/hypergraph.py | HKUST-KnowComp/HPHG | 48b704b28c217e4590edf4dd3c7825495dffb76e | [
"MIT"
] | 1 | 2020-05-27T08:00:53.000Z | 2020-05-27T08:00:53.000Z | import numpy as np
from tqdm import tqdm
class Hypergraph(object):
def __init__(self,graph_type='0',nums_type=None):
self._nodes = {} # node set
self._edges = {} # edge set (hash index)
self.graph_type = graph_type # graph type, homogeneous:0, heterogeneous:1
self.nums_type = nu... | 28.747664 | 106 | 0.545189 | import numpy as np
from tqdm import tqdm
class Hypergraph(object):
def __init__(self,graph_type='0',nums_type=None):
self._nodes = {} self._edges = {} self.graph_type = graph_type self.nums_type = nums_type self.cumsum = np.cumsum(self.nums_type) if self.graph_type=='1'... | true | true |
f72b45b62702b41808f02cf163bf8b5b63de5b30 | 5,644 | py | Python | Tests/Cube.py | joel-intito/tm1py | 42e59dcdeb70357577c19e974995936b5dbb1131 | [
"MIT"
] | null | null | null | Tests/Cube.py | joel-intito/tm1py | 42e59dcdeb70357577c19e974995936b5dbb1131 | [
"MIT"
] | null | null | null | Tests/Cube.py | joel-intito/tm1py | 42e59dcdeb70357577c19e974995936b5dbb1131 | [
"MIT"
] | null | null | null | import configparser
from pathlib import Path
import unittest
import uuid
from TM1py import Element, Hierarchy, Dimension
from TM1py.Objects import Cube
from TM1py.Objects import Rules
from TM1py.Services import TM1Service
config = configparser.ConfigParser()
config.read(Path(__file__).parent.joinpath('config.ini'))
... | 38.394558 | 108 | 0.677711 | import configparser
from pathlib import Path
import unittest
import uuid
from TM1py import Element, Hierarchy, Dimension
from TM1py.Objects import Cube
from TM1py.Objects import Rules
from TM1py.Services import TM1Service
config = configparser.ConfigParser()
config.read(Path(__file__).parent.joinpath('config.ini'))
... | true | true |
f72b4610811bde97505c92b313e84557e3fe0425 | 809 | py | Python | time_this_using_with.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | time_this_using_with.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | time_this_using_with.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
from timeit import default_timer
class TimeThis:
def __init__(self, title="TimeThis"):
self.title = title
self.start_time = None
def __enter__(self):
self.start_time = default_timer()
return self
de... | 19.731707 | 94 | 0.566131 |
__author__ = 'ipetrash'
from timeit import default_timer
class TimeThis:
def __init__(self, title="TimeThis"):
self.title = title
self.start_time = None
def __enter__(self):
self.start_time = default_timer()
return self
def __exit__(self, exc_type, exc_value, exc_trace... | true | true |
f72b46c25c47804afbeb964bc15146379d6938f8 | 49,448 | py | Python | lib/sqlalchemy/ext/associationproxy.py | mattkohl/sqlalchemy | edf8e782cf5011cd43a0ee281b9e0b1d1becef1f | [
"MIT"
] | 2 | 2020-02-19T17:50:50.000Z | 2021-02-10T02:52:41.000Z | lib/sqlalchemy/ext/associationproxy.py | KonstantinKlepikov/sqlalchemy-1 | 2c34d2503a17316cae3282192405b9b9d60df6fe | [
"MIT"
] | null | null | null | lib/sqlalchemy/ext/associationproxy.py | KonstantinKlepikov/sqlalchemy-1 | 2c34d2503a17316cae3282192405b9b9d60df6fe | [
"MIT"
] | 1 | 2019-08-27T06:57:57.000Z | 2019-08-27T06:57:57.000Z | # ext/associationproxy.py
# Copyright (C) 2005-2019 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Contain the ``AssociationProxy`` class.
The ``AssociationProxy`` is a Py... | 31.217172 | 86 | 0.596809 |
import operator
from .. import exc
from .. import inspect
from .. import orm
from .. import util
from ..orm import collections
from ..orm import interfaces
from ..sql import or_
from ..sql.operators import ColumnOperators
def association_proxy(target_collection, attr, **kw):
return AssociationProxy(target_colle... | true | true |
f72b47b083e75e7fc1652ef55122a7c099974a7c | 2,333 | py | Python | integreat_cms/cms/views/settings/mfa/authenticate_modify_mfa_view.py | Carlosbogo/integreat-cms | 066f188b138e105e72f5420bc36d25709f25402d | [
"Apache-2.0"
] | 1 | 2022-01-16T01:15:21.000Z | 2022-01-16T01:15:21.000Z | integreat_cms/cms/views/settings/mfa/authenticate_modify_mfa_view.py | Carlosbogo/integreat-cms | 066f188b138e105e72f5420bc36d25709f25402d | [
"Apache-2.0"
] | null | null | null | integreat_cms/cms/views/settings/mfa/authenticate_modify_mfa_view.py | Carlosbogo/integreat-cms | 066f188b138e105e72f5420bc36d25709f25402d | [
"Apache-2.0"
] | null | null | null | """
This module contains all views related to multi-factor authentication
"""
import logging
import time
from django.contrib.auth.decorators import login_required
from django.contrib.auth.hashers import check_password
from django.shortcuts import redirect
from django.urls import reverse_lazy
from django.utils.decorato... | 44.865385 | 143 | 0.743678 | import logging
import time
from django.contrib.auth.decorators import login_required
from django.contrib.auth.hashers import check_password
from django.shortcuts import redirect
from django.urls import reverse_lazy
from django.utils.decorators import method_decorator
from django.utils.translation import ugettext as _
... | true | true |
f72b482966239f05aa2cebf8fa85221da508dbeb | 44 | py | Python | CodeUp/6030.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | CodeUp/6030.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | CodeUp/6030.py | chae-heechan/Algorithm_Study | 183a77e2cfe352cd82fb5e988b493082529a73dd | [
"MIT"
] | null | null | null | # 영문자 1개 입력받아 10진수로 변환하기
print(ord(input())) | 22 | 24 | 0.704545 | print(ord(input())) | true | true |
f72b491d57302f379d5a1bd917da7dd51854de51 | 11,032 | py | Python | allennlp/tests/common/params_test.py | craigbig/allennlp | 3f15a8bdcae366f3ef732eec1e9df26d91521582 | [
"Apache-2.0"
] | 1 | 2020-02-24T10:21:37.000Z | 2020-02-24T10:21:37.000Z | allennlp/tests/common/params_test.py | craigbig/allennlp | 3f15a8bdcae366f3ef732eec1e9df26d91521582 | [
"Apache-2.0"
] | null | null | null | allennlp/tests/common/params_test.py | craigbig/allennlp | 3f15a8bdcae366f3ef732eec1e9df26d91521582 | [
"Apache-2.0"
] | null | null | null | import json
import os
import re
from collections import OrderedDict
import pytest
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import infer_and_cast, Params, parse_overrides, unflatten, with_fallback
from allennlp.common.testing import AllenNlpTestCase
class TestParams(AllenNlpT... | 35.818182 | 100 | 0.562817 | import json
import os
import re
from collections import OrderedDict
import pytest
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import infer_and_cast, Params, parse_overrides, unflatten, with_fallback
from allennlp.common.testing import AllenNlpTestCase
class TestParams(AllenNlpT... | true | true |
f72b4933b2a73e756ab6c71f5af4eb81142adabf | 978 | py | Python | ecl/tests/functional/baremetal/test_stock.py | nttcom/eclsdk | 866bea3290806332f677344982f39cb8e5155480 | [
"Apache-2.0"
] | 5 | 2017-04-07T06:23:04.000Z | 2019-11-19T00:52:34.000Z | ecl/tests/functional/baremetal/test_stock.py | nttcom/eclsdk | 866bea3290806332f677344982f39cb8e5155480 | [
"Apache-2.0"
] | 16 | 2018-09-12T11:14:40.000Z | 2021-04-19T09:02:44.000Z | ecl/tests/functional/baremetal/test_stock.py | nttcom/eclsdk | 866bea3290806332f677344982f39cb8e5155480 | [
"Apache-2.0"
] | 14 | 2017-05-11T14:26:26.000Z | 2021-07-14T14:00:06.000Z | # 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
# distributed under t... | 37.615385 | 75 | 0.742331 |
import six
from ecl.tests.functional import base
class TestStock(base.BaseFunctionalTest):
def test_01_get_stock(self):
stock = self.conn.baremetal.get_stock(
"44d4ce9e-cf3d-4853-bdc9-95680bf95668", "groupa"
)
self.assertIsInstance(stock.flavor_id, six.string_types)
s... | true | true |
f72b4949f2249b81afca92d0ad7c2bcf75710a96 | 9,579 | py | Python | fudge/productData/distributions/distribution.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 14 | 2019-08-29T23:46:24.000Z | 2022-03-21T10:16:25.000Z | fudge/productData/distributions/distribution.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 1 | 2020-08-04T16:14:45.000Z | 2021-12-01T01:54:34.000Z | fudge/productData/distributions/distribution.py | brown170/fudge | 4f818b0e0b0de52bc127dd77285b20ce3568c97a | [
"BSD-3-Clause"
] | 2 | 2022-03-03T22:41:41.000Z | 2022-03-03T22:54:43.000Z | # <<BEGIN-copyright>>
# Copyright 2021, Lawrence Livermore National Security, LLC.
# See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: BSD-3-Clause
# <<END-copyright>>
"""Distribution class."""
from PoPs import IDs as IDsPoPsModule
from fudge import abstractClasses as abstractClassesModule
... | 48.135678 | 169 | 0.614156 |
from PoPs import IDs as IDsPoPsModule
from fudge import abstractClasses as abstractClassesModule
from xData import standards as standardsModule
from . import angular as angularModule
from . import energy as energyModule
from . import energyAngular as energyAngularModule
from . import energyAngularMC as energyAngula... | true | true |
f72b4999422344e122188abc17640c29c420b644 | 5,593 | py | Python | tfx/components/example_gen/base_example_gen_executor_test.py | pingsutw/tfx | bf0d1d74e3f6ea429989fc7b80b82bea08077857 | [
"Apache-2.0"
] | 1 | 2020-11-24T16:59:37.000Z | 2020-11-24T16:59:37.000Z | tfx/components/example_gen/base_example_gen_executor_test.py | pingsutw/tfx | bf0d1d74e3f6ea429989fc7b80b82bea08077857 | [
"Apache-2.0"
] | null | null | null | tfx/components/example_gen/base_example_gen_executor_test.py | pingsutw/tfx | bf0d1d74e3f6ea429989fc7b80b82bea08077857 | [
"Apache-2.0"
] | null | null | null | # Lint as: python2, python3
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... | 36.555556 | 79 | 0.66619 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import random
import apache_beam as beam
import tensorflow as tf
from google.protobuf import json_format
from tfx.components.example_gen import base_example_gen_executor
from tfx.proto import example... | true | true |
f72b4a5949a2383abf083c3da9e19c3770c8c953 | 6,683 | py | Python | service/moleprop.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 3 | 2022-02-06T09:13:51.000Z | 2022-02-19T15:03:35.000Z | service/moleprop.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 1 | 2022-02-14T23:16:27.000Z | 2022-02-14T23:16:27.000Z | service/moleprop.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | null | null | null | import os
import time
import math
import numpy as np
import torch
# torch.multiprocessing.set_start_method('spawn')
torch.multiprocessing.set_start_method('forkserver', force=True)
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from argparse import Namespace
from typing import List... | 38.854651 | 115 | 0.60422 | import os
import time
import math
import numpy as np
import torch
torch.multiprocessing.set_start_method('forkserver', force=True)
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from argparse import Namespace
from typing import List
from dglt.data.dataset.molecular import MoleculeD... | true | true |
f72b4b922b786b9836eb43cd19f849b1ef9f3014 | 2,011 | py | Python | cv-competition-1/pytorch_baseline/compute_overlaps_np.py | ipovalyaev/events | 64ec6324368dd21f9cedd464304eed01e1737024 | [
"MIT"
] | 5 | 2021-06-15T05:34:01.000Z | 2021-08-17T12:12:34.000Z | cv-competition-1/pytorch_baseline/compute_overlaps_np.py | ipovalyaev/events | 64ec6324368dd21f9cedd464304eed01e1737024 | [
"MIT"
] | 1 | 2021-06-15T13:24:48.000Z | 2021-06-15T13:24:48.000Z | cv-competition-1/pytorch_baseline/compute_overlaps_np.py | ipovalyaev/events | 64ec6324368dd21f9cedd464304eed01e1737024 | [
"MIT"
] | 7 | 2021-06-15T05:36:47.000Z | 2021-09-30T08:00:08.000Z | import time
import numpy as np
from compute_overlap import compute_overlap
def compute_overlap_np(a: np.array, b: np.array) -> np.array:
"""
Args
a: (N, 4) ndarray of float [xmin, ymin, xmax, ymax]
b: (K, 4) ndarray of float [xmin, ymin, xmax, ymax]
Returns
overlaps: (N, K) ndarra... | 29.144928 | 71 | 0.513178 | import time
import numpy as np
from compute_overlap import compute_overlap
def compute_overlap_np(a: np.array, b: np.array) -> np.array:
N, K = len(a), len(b)
overlaps = np.zeros(shape=(N, K))
for n in range(N):
a_area = (a[n, 2] - a[n, 0]) * (a[n, 3] - a[n, 1])
for k in range(K):
... | true | true |
f72b4bbd4fb629bc220cd90dcdf55c738b02e203 | 4,032 | py | Python | policy_value_net_numpy.py | wesleytao/Checkers-Reinforcement-Learning | 80d45f1c29fb7cd4503cdadedf344267553cad31 | [
"MIT"
] | 2 | 2019-01-21T02:54:19.000Z | 2019-01-21T02:54:58.000Z | policy_value_net_numpy.py | wesleytao/Checkers-Reinforcement-Learning | 80d45f1c29fb7cd4503cdadedf344267553cad31 | [
"MIT"
] | null | null | null | policy_value_net_numpy.py | wesleytao/Checkers-Reinforcement-Learning | 80d45f1c29fb7cd4503cdadedf344267553cad31 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Implement the policy value network using numpy, so that we can play with the
trained AI model without installing any DL framwork
@author: Junxiao Song
"""
from __future__ import print_function
import numpy as np
# some utility functions
def softmax(x):
probs = np.exp(x - np.max(x))
... | 34.758621 | 79 | 0.615575 |
from __future__ import print_function
import numpy as np
def softmax(x):
probs = np.exp(x - np.max(x))
probs /= np.sum(probs)
return probs
def relu(X):
out = np.maximum(X, 0)
return out
def conv_forward(X, W, b, stride=1, padding=1):
n_filters, d_filter, h_filter, w_filter = W.shape
... | true | true |
f72b4d5a2a367abecd980532b8d4750d10b4ca89 | 1,961 | py | Python | sdk/python/tests/utils/online_store_utils.py | ibnummuhammad/feast | 1fd9c2def1fbaca68e865a7c67336793ddb25582 | [
"Apache-2.0"
] | 810 | 2018-12-25T15:16:11.000Z | 2020-05-14T09:49:40.000Z | sdk/python/tests/utils/online_store_utils.py | ibnummuhammad/feast | 1fd9c2def1fbaca68e865a7c67336793ddb25582 | [
"Apache-2.0"
] | 701 | 2018-12-21T05:18:43.000Z | 2020-05-16T01:30:21.000Z | sdk/python/tests/utils/online_store_utils.py | ibnummuhammad/feast | 1fd9c2def1fbaca68e865a7c67336793ddb25582 | [
"Apache-2.0"
] | 155 | 2018-12-22T11:05:04.000Z | 2020-05-14T07:33:41.000Z | from datetime import datetime
import boto3
from feast import utils
from feast.infra.online_stores.helpers import compute_entity_id
from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto
from feast.protos.feast.types.Value_pb2 import Value as ValueProto
def _create_n_customer_test_samples(n=1... | 34.403509 | 86 | 0.63182 | from datetime import datetime
import boto3
from feast import utils
from feast.infra.online_stores.helpers import compute_entity_id
from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto
from feast.protos.feast.types.Value_pb2 import Value as ValueProto
def _create_n_customer_test_samples(n=1... | true | true |
f72b4fcb126c9560cd993ddf3c97358bf4458c21 | 2,011 | py | Python | internal/notes/builtin-SAVE/packages/bbcp/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | 1 | 2019-01-17T20:07:19.000Z | 2019-01-17T20:07:19.000Z | internal/notes/builtin-SAVE/packages/bbcp/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | null | null | null | internal/notes/builtin-SAVE/packages/bbcp/package.py | HPCToolkit/hpctest | 5ff4455582bf39e75530a31badcf6142081b386b | [
"BSD-3-Clause"
] | 2 | 2019-08-06T18:13:57.000Z | 2021-11-05T18:19:49.000Z | ##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-64... | 41.040816 | 78 | 0.651914 | from spack import *
class Bbcp(Package):
homepage = "http://www.slac.stanford.edu/~abh/bbcp/"
version('git', git='http://www.slac.stanford.edu/~abh/bbcp/bbcp.git',
branch="master")
depends_on('zlib')
depends_on('openssl')
def install(self, spec, prefix):
cd("src")
ma... | true | true |
f72b4ff25106f6a06c072e4b810373c1bc5e5e95 | 1,964 | py | Python | sdap/studies/admin.py | umr1085-irset/reproGenomicsViewer | 187ea320668e567d01572bfbf9497bebd691569a | [
"MIT"
] | null | null | null | sdap/studies/admin.py | umr1085-irset/reproGenomicsViewer | 187ea320668e567d01572bfbf9497bebd691569a | [
"MIT"
] | 1 | 2020-02-16T10:48:55.000Z | 2020-02-16T11:06:36.000Z | sdap/studies/admin.py | umr1085-irset/reproGenomicsViewer | 187ea320668e567d01572bfbf9497bebd691569a | [
"MIT"
] | 4 | 2019-11-04T15:00:55.000Z | 2020-03-02T13:36:17.000Z | from django.contrib import admin
from django import forms
from .models import *
from django_better_admin_arrayfield.admin.mixins import DynamicArrayMixin
import sdap.tools.forms as tool_forms
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from django.apps impor... | 32.733333 | 155 | 0.556517 | from django.contrib import admin
from django import forms
from .models import *
from django_better_admin_arrayfield.admin.mixins import DynamicArrayMixin
import sdap.tools.forms as tool_forms
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from django.apps impor... | true | true |
f72b50a50d6a2732a98caa1aae33253e14cfd9d0 | 1,772 | py | Python | examples/simple/fe.py | HQSquantumsimulations/ActiveSpaceFinder | 2471dd1cb764169a1be51937addea04813cf42d1 | [
"Apache-2.0"
] | 10 | 2020-11-09T18:12:43.000Z | 2021-12-17T16:48:54.000Z | examples/simple/fe.py | HQSquantumsimulations/ActiveSpaceFinder | 2471dd1cb764169a1be51937addea04813cf42d1 | [
"Apache-2.0"
] | null | null | null | examples/simple/fe.py | HQSquantumsimulations/ActiveSpaceFinder | 2471dd1cb764169a1be51937addea04813cf42d1 | [
"Apache-2.0"
] | 3 | 2021-01-26T12:41:08.000Z | 2021-12-16T04:33:11.000Z | # Copyright 2020 HQS Quantum Simulations GmbH
# Reza Ghafarian Shirazi, Thilo Mast.
# reza.shirazi@quantumsimulations.de
#
# 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.apa... | 30.551724 | 74 | 0.738149 |
from pyscf import gto, scf
import asf
mol = gto.Mole()
mol.atom = """
Fe -0.0000000 0.0000000 0.0000000
O 0.0000000 2.0622910 0.0000000
H 0.7919274 2.6471973 0.0000000
H -0.7919274 2.6471973 0.0000000
O -0.0000000 0.0000000 2.0622910
H -0.0000000 0.7919274 2.6471973
H 0.0000000 -0.7919274 2.6471973
O 2.0622910 -0.000... | true | true |
f72b50aeba2955ce6ef70f323284adca857cfc4f | 3,088 | py | Python | yolo_app/etc/commons/opencv_helpers.py | arvincsh/multiobjectdetection | 26b4d43ce981a7a4cd031611df70b8f7c08757df | [
"MIT"
] | null | null | null | yolo_app/etc/commons/opencv_helpers.py | arvincsh/multiobjectdetection | 26b4d43ce981a7a4cd031611df70b8f7c08757df | [
"MIT"
] | 3 | 2021-06-08T22:25:30.000Z | 2022-01-13T03:18:29.000Z | yolo_app/etc/commons/opencv_helpers.py | arvincsh/multiobjectdetection | 26b4d43ce981a7a4cd031611df70b8f7c08757df | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from math import sqrt
from scipy.spatial import distance
from yolo_app.etc.config import config
def crop_image(save_path, img, xywh):
x = xywh[0]
y = xywh[1]
w = xywh[2]
h = xywh[3]
crop_img = img[y:y + h, x:x + w]
cv2.imwrite(save_path, crop_img)
def np_xyxy2xy... | 26.393162 | 100 | 0.562176 | import cv2
import numpy as np
from math import sqrt
from scipy.spatial import distance
from yolo_app.etc.config import config
def crop_image(save_path, img, xywh):
x = xywh[0]
y = xywh[1]
w = xywh[2]
h = xywh[3]
crop_img = img[y:y + h, x:x + w]
cv2.imwrite(save_path, crop_img)
def np_xyxy2xy... | true | true |
f72b5313853fd9dfc01ec04630bfc7a8a3c1dfba | 2,762 | py | Python | simple_generate.py | yuning1990/GPT2-Chinese | 299855ad9a84ad81b2da6e2c583af124f6ed6ff9 | [
"MIT"
] | null | null | null | simple_generate.py | yuning1990/GPT2-Chinese | 299855ad9a84ad81b2da6e2c583af124f6ed6ff9 | [
"MIT"
] | null | null | null | simple_generate.py | yuning1990/GPT2-Chinese | 299855ad9a84ad81b2da6e2c583af124f6ed6ff9 | [
"MIT"
] | null | null | null | from generate import *
from datetime import datetime
def main():
''' e.g.
python ./generate.py --length=512
--nsamples=1
--prefix=[MASK]哈利站在窗边
--tokenizer_path cache/vocab_small.txt
--topk 40 --model_path model/model_epoch29
--save_samples --save_samples_path result/20210915_29_1135
... | 54.156863 | 115 | 0.68139 | from generate import *
from datetime import datetime
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--key', default='intro', type=str, required=False, help='哪个模型')
parser.add_argument('--model_v', default='-1', type=str, required=False, help='第几个模型')
parser.add_argument('--device',... | true | true |
f72b5336226a539fe7cd56683840a850c1179b1c | 8,536 | py | Python | awareutils/vision/col.py | anna-aware/awareutils | 5571de71ad6f0adad6361e39f82073ba4dd402c5 | [
"MIT"
] | null | null | null | awareutils/vision/col.py | anna-aware/awareutils | 5571de71ad6f0adad6361e39f82073ba4dd402c5 | [
"MIT"
] | null | null | null | awareutils/vision/col.py | anna-aware/awareutils | 5571de71ad6f0adad6361e39f82073ba4dd402c5 | [
"MIT"
] | null | null | null | import hashlib
from typing import Iterable, Tuple
from loguru import logger
class Col:
named: "NamedCols"
def __init__(self, r: int, g: int, b: int, clip: bool = False, fix_numeric_type: bool = True):
self._clip = clip
self._fix_numeric_type = fix_numeric_type
self.r = r # Note this... | 31.732342 | 115 | 0.573336 | import hashlib
from typing import Iterable, Tuple
from loguru import logger
class Col:
named: "NamedCols"
def __init__(self, r: int, g: int, b: int, clip: bool = False, fix_numeric_type: bool = True):
self._clip = clip
self._fix_numeric_type = fix_numeric_type
self.r = r sel... | true | true |
f72b548ac9a0d323d3b91f562646813415979b88 | 8,590 | py | Python | python/caffe/detector.py | MilesQLi/highway-networks | 87d1c8d091ed698b7959c6dbcbbe2ac2e8bf5e3e | [
"BSD-2-Clause"
] | 106 | 2015-08-11T05:45:50.000Z | 2021-04-08T02:29:07.000Z | python/caffe/detector.py | scott89/caffe-crowd | de1875c33e311c12df7dc33decda67706dbf250a | [
"BSD-2-Clause"
] | 2 | 2016-07-07T15:04:10.000Z | 2016-09-12T14:00:13.000Z | python/caffe/detector.py | scott89/caffe-crowd | de1875c33e311c12df7dc33decda67706dbf250a | [
"BSD-2-Clause"
] | 36 | 2015-08-14T07:33:42.000Z | 2021-03-11T09:48:40.000Z | #!/usr/bin/env python
"""
Do windowed detection by classifying a number of images/crops at once,
optionally using the selective search window proposal method.
This implementation follows ideas in
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik.
Rich feature hierarchies for accurate object detection... | 39.585253 | 80 | 0.590803 | import numpy as np
import os
import caffe
class Detector(caffe.Net):
def __init__(self, model_file, pretrained_file, mean=None,
input_scale=None, raw_scale=None, channel_swap=None,
context_pad=None):
caffe.Net.__init__(self, model_file, pretrained_file, caffe.TEST)
... | true | true |
f72b56c1b85626f170db0a70640a8d036cae722e | 858 | py | Python | pcaspy/tools.py | dchabot/python-pcaspy | 42c32e90b854414d0f929a1ecef32b7438344d42 | [
"BSD-3-Clause"
] | null | null | null | pcaspy/tools.py | dchabot/python-pcaspy | 42c32e90b854414d0f929a1ecef32b7438344d42 | [
"BSD-3-Clause"
] | null | null | null | pcaspy/tools.py | dchabot/python-pcaspy | 42c32e90b854414d0f929a1ecef32b7438344d42 | [
"BSD-3-Clause"
] | null | null | null | import threading
# Thread running server processing loop
class ServerThread(threading.Thread):
"""
A helper class to run server in a thread.
The following snippet runs the server for 4 seconds and quit::
server = SimpleServer()
server_thread = ServerThread(server)
server_thread.st... | 22.578947 | 66 | 0.578089 | import threading
class ServerThread(threading.Thread):
def __init__(self, server):
super(ServerThread, self).__init__()
self.server = server
self.running = True
def run(self):
while self.running:
self.server.process(0.1)
def stop(self):
self.running = F... | true | true |
f72b56de21ac740c008099e3f07466941329206c | 6,793 | py | Python | bindings/python/ensmallen_graph/datasets/string/lachnobacteriumbovis.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/lachnobacteriumbovis.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | bindings/python/ensmallen_graph/datasets/string/lachnobacteriumbovis.py | caufieldjh/ensmallen_graph | 14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a | [
"MIT"
] | null | null | null | """
This file offers the methods to automatically retrieve the graph Lachnobacterium bovis.
The graph is automatically retrieved from the STRING repository.
Report
---------------------
At the time of rendering these methods (please see datetime below), the graph
had the following characteristics:
Datetime: 2021-... | 35.565445 | 223 | 0.708229 | from typing import Dict
from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph
from ...ensmallen_graph import EnsmallenGraph
def LachnobacteriumBovis(
directed: bool = False,
verbose: int = 2,
cache_path: str = "graphs/string",
**additional_graph_kwargs: Dict
) -> EnsmallenGraph:
re... | true | true |
f72b570f213204c468b4f1b373c9ca56f111cbd6 | 1,128 | py | Python | windyquery/validator/field.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 51 | 2019-05-13T10:51:23.000Z | 2021-09-12T08:11:56.000Z | windyquery/validator/field.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 2 | 2020-10-08T16:28:45.000Z | 2021-06-23T03:27:42.000Z | windyquery/validator/field.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 3 | 2021-05-10T13:08:21.000Z | 2021-06-20T19:58:30.000Z | from ._base import Base, _rule
from .fullname_json import FullnameJson
from .values.text_val import TextVal
from .values.null import NULL
from .values.holder import Holder
from .values.true import TRUE
from .values.false import FALSE
class Field(FullnameJson, TextVal, NULL, Holder, TRUE, FALSE):
reserved = {**Bas... | 29.684211 | 111 | 0.606383 | from ._base import Base, _rule
from .fullname_json import FullnameJson
from .values.text_val import TextVal
from .values.null import NULL
from .values.holder import Holder
from .values.true import TRUE
from .values.false import FALSE
class Field(FullnameJson, TextVal, NULL, Holder, TRUE, FALSE):
reserved = {**Bas... | true | true |
f72b575498b298ee6a17f438e78286df5deb72f6 | 4,471 | py | Python | distributex/service.py | calston/distributex | 06ef0f948f7587ccf2a45305e8de45e9922990cc | [
"MIT"
] | 2 | 2018-06-07T12:46:22.000Z | 2020-11-21T18:10:44.000Z | distributex/service.py | calston/distributex | 06ef0f948f7587ccf2a45305e8de45e9922990cc | [
"MIT"
] | null | null | null | distributex/service.py | calston/distributex | 06ef0f948f7587ccf2a45305e8de45e9922990cc | [
"MIT"
] | null | null | null | from twisted.application import internet, service
from twisted.web import server, resource, client
from twisted.internet import defer, reactor, threads, utils, task
from zope import interface
import yaml
import time
import cgi
import random
from distributex.backends import in_memory_backend, memcached_backend
class ... | 29.609272 | 78 | 0.569895 | from twisted.application import internet, service
from twisted.web import server, resource, client
from twisted.internet import defer, reactor, threads, utils, task
from zope import interface
import yaml
import time
import cgi
import random
from distributex.backends import in_memory_backend, memcached_backend
class ... | true | true |
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