xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

d986817c204d16654396919da3ac83f7ae530d0c

215

py

Python

src/super_gradients/common/factories/losses_factory.py

Deci-AI/super-gradients

658f638389654668a085e23c3b19622241fd9267

[ "Apache-2.0" ]

308

2021-12-30T10:14:30.000Z

2022-03-30T19:05:31.000Z

src/super_gradients/common/factories/losses_factory.py

Deci-AI/super-gradients

658f638389654668a085e23c3b19622241fd9267

[ "Apache-2.0" ]

24

2022-01-10T08:05:37.000Z

2022-03-30T18:49:06.000Z

src/super_gradients/common/factories/losses_factory.py

Deci-AI/super-gradients

658f638389654668a085e23c3b19622241fd9267

[ "Apache-2.0" ]

26

2021-12-31T06:04:07.000Z

2022-03-21T09:51:44.000Z

from super_gradients.common.factories.base_factory import BaseFactory from super_gradients.training.losses import LOSSES class LossesFactory(BaseFactory): def __init__(self): super().__init__(LOSSES)

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py

Python

bin/twigs/one-sided-tetratwigs-triangle-3.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/twigs/one-sided-tetratwigs-triangle-3.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/twigs/one-sided-tetratwigs-triangle-3.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

1

2022-01-02T16:54:14.000Z

#!/usr/bin/env python # $Id$ """ 0 solutions. """ import puzzler from puzzler.puzzles.tetratwigs import OneSidedTetratwigsTriangle_3 puzzler.run(OneSidedTetratwigsTriangle_3)

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py

Python

ihashmap/__init__.py

C2Devel/ihashmap

d3b19357171ec7cfcd3f170de86c8e60d843f306

[ "MIT" ]

null

ihashmap/__init__.py

C2Devel/ihashmap

d3b19357171ec7cfcd3f170de86c8e60d843f306

[ "MIT" ]

1

2021-05-29T21:30:27.000Z

ihashmap/__init__.py

C2Devel/ihashmap

d3b19357171ec7cfcd3f170de86c8e60d843f306

[ "MIT" ]

1

2021-08-16T12:10:08.000Z

from . import cache, index # noqa: F401

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py

Python

tests/test_frame.py

st-walker/tfs

7a229f4fecbf04d544c5116d79a281e4365ccd1d

[ "MIT" ]

5

2019-02-18T14:38:59.000Z

2021-12-14T15:33:50.000Z

tests/test_frame.py

st-walker/tfs

7a229f4fecbf04d544c5116d79a281e4365ccd1d

[ "MIT" ]

54

2019-02-19T14:44:36.000Z

2022-02-16T15:07:53.000Z

tests/test_frame.py

st-walker/tfs

7a229f4fecbf04d544c5116d79a281e4365ccd1d

[ "MIT" ]

4

2019-10-17T08:58:57.000Z

2022-02-15T15:55:18.000Z

import pathlib from collections import OrderedDict from functools import partial, reduce import pandas as pd import pytest from pandas._testing import assert_dict_equal from pandas.testing import assert_frame_equal import tfs from tfs.frame import TfsDataFrame, concat, merge_headers, validate CURRENT_DIR = pathlib.Path(__file__).parent class TestFailures: def test_validate_raises_on_wrong_unique_behavior(self, caplog): df = TfsDataFrame(index=["A", "B", "A"], columns=["A", "B", "A"]) with pytest.raises(KeyError): validate(df, "", non_unique_behavior="invalid") @pytest.mark.parametrize("how", ["invalid", "not_left", "not_right"]) def test_merge_headers_raises_on_invalid_how_key(self, caplog, how): headers_left = OrderedDict() headers_right = OrderedDict() with pytest.raises(ValueError): merge_headers(headers_left, headers_right, how=how) class TestHeadersMerging: @pytest.mark.parametrize("how", ["left", "LEFT", "Left", "lEfT"]) # we're case-insensitive def test_headers_merging_left(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how): headers_left = tfs.read(_tfs_file_x_pathlib).headers headers_right = tfs.read(_tfs_file_y_pathlib).headers result = merge_headers(headers_left, headers_right, how=how) assert isinstance(result, OrderedDict) assert len(result) >= len(headers_left) and len(result) >= len(headers_right) # no key disappeared for key in result: # check that we prioritized headers_left's contents if key in headers_left and key in headers_right: assert result[key] == headers_left[key] @pytest.mark.parametrize("how", ["right", "RIGHT", "Right", "RigHt"]) # we're case-insensitive def test_headers_merging_right(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how): headers_left = tfs.read(_tfs_file_x_pathlib).headers headers_right = tfs.read(_tfs_file_y_pathlib).headers result = merge_headers(headers_left, headers_right, how=how) assert isinstance(result, OrderedDict) assert len(result) >= len(headers_left) and len(result) >= len(headers_right) # no key disappeared for key in result: # check that we prioritized headers_right's contents if key in headers_left and key in headers_right: assert result[key] == headers_right[key] @pytest.mark.parametrize("how", [None, "none", "None", "nOnE"]) # we're case-insensitive def test_headers_merging_none_returns_empty_dict(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how): headers_left = tfs.read(_tfs_file_x_pathlib).headers headers_right = tfs.read(_tfs_file_y_pathlib).headers result = merge_headers(headers_left, headers_right, how=how) assert result == OrderedDict() # giving None returns empty headers def test_providing_new_headers_overrides_merging(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = tfs.read(_tfs_file_y_pathlib) assert dframe_x.append(other=dframe_y, new_headers={}).headers == OrderedDict() assert dframe_y.append(other=dframe_x, new_headers={}).headers == OrderedDict() # we provide lsuffix (or rsuffix) since dframes have the same columns assert dframe_x.join(other=dframe_y, lsuffix="_l", new_headers={}).headers == OrderedDict() assert dframe_y.join(other=dframe_x, lsuffix="_l", new_headers={}).headers == OrderedDict() assert dframe_x.merge(right=dframe_y, new_headers={}).headers == OrderedDict() assert dframe_y.merge(right=dframe_x, new_headers={}).headers == OrderedDict() class TestPrinting: def test_header_print(self): headers = {"param": 3, "other": "hello"} df = TfsDataFrame(headers=headers) print_out = str(df) assert "Headers" in print_out for key, val in headers.items(): assert key in print_out assert str(val) in print_out def test_long_headers_print(self): headers = {"p1": 1, "p2": "hello", "p3": 3, "p4": 4, "p5": 5, "p6": 6, "p7": "string", "p8": "long"} df = TfsDataFrame(headers=headers) print_out = str(df) assert "Headers" in print_out # Check that the ellipsis worked assert not all(key in print_out for key in headers.keys()) assert not all(str(val) in print_out for val in headers.values()) assert "..." in print_out def test_empty_headers_print(self): print_tfs = str(TfsDataFrame()) print_df = str(pd.DataFrame()) assert print_tfs == print_df.replace(pd.DataFrame.__name__, TfsDataFrame.__name__) class TestTfsDataFrameAppending: @pytest.mark.parametrize("how_headers", [None, "left", "right"]) def test_correct_appending(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = tfs.read(_tfs_file_y_pathlib) result = dframe_x.append(dframe_y, how_headers=how_headers) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) assert_dict_equal(result.headers, merge_headers(dframe_x.headers, dframe_y.headers, how=how_headers)) assert_frame_equal(result, pd.DataFrame(dframe_x).append(pd.DataFrame(dframe_y))) @pytest.mark.parametrize("how_headers", [None, "left", "right"]) def test_appending_accepts_pandas_dataframe(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = pd.DataFrame(tfs.read(_tfs_file_y_pathlib)) # for test, loses headers here result = dframe_x.append(dframe_y, how_headers=how_headers) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) # using empty OrderedDict here as it's what dframe_y is getting when converted in the call assert_dict_equal(result.headers, merge_headers(dframe_x.headers, OrderedDict(), how=how_headers)) assert_frame_equal(result, pd.DataFrame(dframe_x).append(dframe_y)) # dframe_y already pandas class TestTfsDataFrameJoining: @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("lsuffix", ["left", "_x"]) @pytest.mark.parametrize("rsuffix", ["right", "_y"]) def test_correct_joining(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, lsuffix, rsuffix): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = tfs.read(_tfs_file_y_pathlib) result = dframe_x.join(dframe_y, how_headers=how_headers, lsuffix=lsuffix, rsuffix=rsuffix) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) assert_dict_equal(result.headers, merge_headers(dframe_x.headers, dframe_y.headers, how=how_headers)) assert_frame_equal( result, pd.DataFrame(dframe_x).join(pd.DataFrame(dframe_y), lsuffix=lsuffix, rsuffix=rsuffix) ) @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("lsuffix", ["left", "_x"]) @pytest.mark.parametrize("rsuffix", ["right", "_y"]) def test_joining_accepts_pandas_dataframe( self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, lsuffix, rsuffix ): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = pd.DataFrame(tfs.read(_tfs_file_y_pathlib)) # for test, loses headers here result = dframe_x.join(dframe_y, how_headers=how_headers, lsuffix=lsuffix, rsuffix=rsuffix) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) # using empty OrderedDict here as it's what dframe_y is getting when converted in the call assert_dict_equal(result.headers, merge_headers(dframe_x.headers, OrderedDict(), how=how_headers)) assert_frame_equal( result, pd.DataFrame(dframe_x).join(pd.DataFrame(dframe_y), lsuffix=lsuffix, rsuffix=rsuffix) ) class TestTfsDataFrameMerging: @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("how", ["left", "right", "outer", "inner"]) @pytest.mark.parametrize("on", ["NAME", "S", "NUMBER", "CO", "CORMS", "BPM_RES"]) def test_correct_merging(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, how, on): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = tfs.read(_tfs_file_y_pathlib) result = dframe_x.merge(dframe_y, how_headers=how_headers, how=how, on=on) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) assert_dict_equal(result.headers, merge_headers(dframe_x.headers, dframe_y.headers, how=how_headers)) assert_frame_equal(result, pd.DataFrame(dframe_x).merge(pd.DataFrame(dframe_y), how=how, on=on)) @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("how", ["left", "right", "outer", "inner"]) @pytest.mark.parametrize("on", ["NAME", "S", "NUMBER", "CO", "CORMS", "BPM_RES"]) def test_merging_accepts_pandas_dataframe( self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, how, on ): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = pd.DataFrame(tfs.read(_tfs_file_y_pathlib)) # for test, loses headers here result = dframe_x.merge(dframe_y, how_headers=how_headers, how=how, on=on) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) # using empty OrderedDict here as it's what dframe_y is getting when converted in the call assert_dict_equal(result.headers, merge_headers(dframe_x.headers, OrderedDict(), how=how_headers)) assert_frame_equal(result, pd.DataFrame(dframe_x).merge(pd.DataFrame(dframe_y), how=how, on=on)) class TestTfsDataFramesConcatenating: @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("axis", [0, 1]) @pytest.mark.parametrize("join", ["inner", "outer"]) def test_correct_concatenating(self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, axis, join): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = tfs.read(_tfs_file_y_pathlib) objs = [dframe_x] * 4 + [dframe_y] * 4 result = concat(objs, how_headers=how_headers, axis=axis, join=join) merger = partial(merge_headers, how=how_headers) all_headers = (tfsdframe.headers for tfsdframe in objs) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) assert_dict_equal(result.headers, reduce(merger, all_headers)) assert_frame_equal(result, pd.concat(objs, axis=axis, join=join)) @pytest.mark.parametrize("how_headers", [None, "left", "right"]) @pytest.mark.parametrize("axis", [0, 1]) @pytest.mark.parametrize("join", ["inner", "outer"]) def test_concatenating_accepts_pandas_dataframes( self, _tfs_file_x_pathlib, _tfs_file_y_pathlib, how_headers, axis, join ): dframe_x = tfs.read(_tfs_file_x_pathlib) dframe_y = pd.DataFrame(tfs.read(_tfs_file_y_pathlib)) # for test, loses headers here objs = [dframe_x] * 4 + [dframe_y] * 4 # now has a mix of TfsDataFrames and pandas.DataFrames result = concat(objs, how_headers=how_headers, axis=axis, join=join) merger = partial(merge_headers, how=how_headers) # all_headers = (tfsdframe.headers for tfsdframe in objs) assert isinstance(result, TfsDataFrame) assert isinstance(result.headers, OrderedDict) all_headers = [ # empty OrderedDicts here as it's what objects are getting when converted in the call dframe.headers if isinstance(dframe, TfsDataFrame) else OrderedDict() for dframe in objs ] assert_dict_equal(result.headers, reduce(merger, all_headers)) assert_frame_equal(result, pd.concat(objs, axis=axis, join=join)) # ------ Fixtures ------ # @pytest.fixture() def _tfs_file_x_pathlib() -> pathlib.Path: return CURRENT_DIR / "inputs" / "file_x.tfs" @pytest.fixture() def _tfs_file_y_pathlib() -> pathlib.Path: return CURRENT_DIR / "inputs" / "file_x.tfs"

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797e57d82ca20e5f0c8f30b95fa8f768c3645d67

69

py

Python

opencv/version.py

creativeprojects/speedcam

30fbb19f30c775e5b7e048784964332b253da2f1

[ "MIT" ]

1

2018-01-02T13:29:39.000Z

opencv/version.py

creativeprojects/speedcam

30fbb19f30c775e5b7e048784964332b253da2f1

[ "MIT" ]

null

opencv/version.py

creativeprojects/speedcam

30fbb19f30c775e5b7e048784964332b253da2f1

[ "MIT" ]

null

import cv2 print("Your OpenCV version: {}".format(cv2.__version__))

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798502c4305e9c38f023fb17b70056e391d5003e

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py

Python

bulq/plugins/bulq_input_file/__init__.py

koji-m/bulq

78f97d2e57d6bcb0ec3fa2b0c7539db3ebaa104a

[ "Apache-2.0" ]

null

bulq/plugins/bulq_input_file/__init__.py

koji-m/bulq

78f97d2e57d6bcb0ec3fa2b0c7539db3ebaa104a

[ "Apache-2.0" ]

null

bulq/plugins/bulq_input_file/__init__.py

koji-m/bulq

78f97d2e57d6bcb0ec3fa2b0c7539db3ebaa104a

[ "Apache-2.0" ]

null

from . import bulq_input_file plugin = bulq_input_file.BulqInputFile

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8db05c18cc1324cabbc70f6f48e6567d3d67ea30

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py

Python

cmd2_submenu/__init__.py

karuneshChhabra/cmd2-submenu

bbb500813fbcf1d65c9fd1283ceab36f41e5137e

[ "MIT" ]

1

2018-05-08T20:50:59.000Z

cmd2_submenu/__init__.py

karuneshChhabra/cmd2-submenu

bbb500813fbcf1d65c9fd1283ceab36f41e5137e

[ "MIT" ]

9

2018-10-14T19:00:52.000Z

2019-07-30T18:06:14.000Z

cmd2_submenu/__init__.py

karuneshChhabra/cmd2-submenu

bbb500813fbcf1d65c9fd1283ceab36f41e5137e

[ "MIT" ]

3

2018-11-18T01:24:16.000Z

2022-01-11T11:41:21.000Z

# # coding=utf-8 from .submenu import AddSubmenu

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8ddd7b13928b79c95420b092623ed9df04abb920

350

py

Python

routes/incidents.py

TubmanProject/police-data-trust

c5ef2a5806d7229f3a827feb30ccb44b685b27c4

[ "MIT" ]

null

routes/incidents.py

TubmanProject/police-data-trust

c5ef2a5806d7229f3a827feb30ccb44b685b27c4

[ "MIT" ]

null

routes/incidents.py

TubmanProject/police-data-trust

c5ef2a5806d7229f3a827feb30ccb44b685b27c4

[ "MIT" ]

3

2021-02-10T01:31:03.000Z

2021-03-28T15:38:38.000Z

from flask import Blueprint, request, jsonify from incidents import Incidents incident_routes = Blueprint("incident_routes", __name__, url_prefix="/incidents") @incident_routes.route("/", methods=["POST", "GET"]) @incident_routes.route("/<id>", methods=["PUT", "DELETE"]) def get_single_incident(id=None): return Incidents.get_delete_put_post(id)

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5c1319b11fd07d7011359d778bc7f6661c4cec9e

167

py

Python

my_app/templates/model.py

varshaholsambre/Whats-For-Dinner

18f5eb753a2cf1417deadfc6cdd023563e70e0e7

[ "Apache-2.0" ]

null

my_app/templates/model.py

varshaholsambre/Whats-For-Dinner

18f5eb753a2cf1417deadfc6cdd023563e70e0e7

[ "Apache-2.0" ]

null

my_app/templates/model.py

varshaholsambre/Whats-For-Dinner

18f5eb753a2cf1417deadfc6cdd023563e70e0e7

[ "Apache-2.0" ]

null

from my_app import db class Fact(db.Model): id = db.Column(db.Integer, primary_keys = True) name = db.Column(db.String(100)) value = db.Column(db.String(100))

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5

5c4b9cbab27904d956f8c5b50b76ac98e0b6ae3f

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py

Python

python/paddle/fluid/tests/unittests/test_cov.py

RangeKing/Paddle

2d87300809ae75d76f5b0b457d8112cb88dc3e27

[ "Apache-2.0" ]

8

2016-08-15T07:02:27.000Z

2016-08-24T09:34:00.000Z

python/paddle/fluid/tests/unittests/test_cov.py

RangeKing/Paddle

2d87300809ae75d76f5b0b457d8112cb88dc3e27

[ "Apache-2.0" ]

1

2022-01-28T07:23:22.000Z

python/paddle/fluid/tests/unittests/test_cov.py

RangeKing/Paddle

2d87300809ae75d76f5b0b457d8112cb88dc3e27

[ "Apache-2.0" ]

null

# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import paddle.fluid as fluid import unittest import numpy as np import six import paddle from paddle.fluid.framework import _test_eager_guard, in_dygraph_mode def numpy_cov(np_arr, rowvar=True, ddof=1, fweights=None, aweights=None): return np.cov(np_arr, rowvar=rowvar, ddof=int(ddof), fweights=fweights, aweights=aweights) class Cov_Test(unittest.TestCase): def setUp(self): self.shape = [20, 10] self.weightshape = [10] def func_test_tensor_cov_default(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) tensor = paddle.to_tensor(np_arr, place=p) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=True, fweights=None, aweights=None) np_cov = numpy_cov( np_arr, rowvar=True, ddof=1, fweights=None, aweights=None) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_default(self): with _test_eager_guard(): self.func_test_tensor_cov_default() self.func_test_tensor_cov_default() def func_test_tensor_cov_rowvar(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) tensor = paddle.to_tensor(np_arr, place=p) cov = paddle.linalg.cov(tensor, rowvar=False, ddof=True, fweights=None, aweights=None) np_cov = numpy_cov( np_arr, rowvar=False, ddof=1, fweights=None, aweights=None) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_rowvar(self): with _test_eager_guard(): self.func_test_tensor_cov_rowvar() self.func_test_tensor_cov_rowvar() def func_test_tensor_cov_ddof(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) tensor = paddle.to_tensor(np_arr, place=p) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=False, fweights=None, aweights=None) np_cov = numpy_cov( np_arr, rowvar=True, ddof=0, fweights=None, aweights=None) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_ddof(self): with _test_eager_guard(): self.func_test_tensor_cov_ddof() self.func_test_tensor_cov_ddof() def func_test_tensor_cov_fweights(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) np_fw = np.random.randint( 10, size=self.weightshape).astype('int32') tensor = paddle.to_tensor(np_arr, place=p) fweights = paddle.to_tensor(np_fw, place=p) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=True, fweights=fweights, aweights=None) np_cov = numpy_cov( np_arr, rowvar=True, ddof=1, fweights=np_fw, aweights=None) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_fweights(self): with _test_eager_guard(): self.func_test_tensor_cov_fweights() self.func_test_tensor_cov_fweights() def func_test_tensor_cov_aweights(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) np_aw = np.random.randint( 10, size=self.weightshape).astype('int32') tensor = paddle.to_tensor(np_arr, place=p) aweights = paddle.to_tensor(np_aw, place=p) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=True, fweights=None, aweights=aweights) np_cov = numpy_cov( np_arr, rowvar=True, ddof=1, fweights=None, aweights=np_aw) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_aweights(self): with _test_eager_guard(): self.func_test_tensor_cov_aweights() self.func_test_tensor_cov_aweights() def func_test_tensor_cov_weights(self): typelist = ['float64'] places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): places.append(fluid.CUDAPlace(0)) for idx, p in enumerate(places): if idx == 0: paddle.set_device('cpu') else: paddle.set_device('gpu') for dtype in typelist: np_arr = np.random.rand(*self.shape).astype(dtype) np_fw = np.random.randint( 10, size=self.weightshape).astype('int64') np_aw = np.random.rand(*self.weightshape).astype('float64') tensor = paddle.to_tensor(np_arr, place=p) fweights = paddle.to_tensor(np_fw, place=p) aweights = paddle.to_tensor(np_aw, place=p) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=True, fweights=fweights, aweights=aweights) np_cov = numpy_cov( np_arr, rowvar=True, ddof=1, fweights=np_fw, aweights=np_aw) self.assertTrue(np.allclose(np_cov, cov.numpy())) def test_tensor_cov_weights(self): with _test_eager_guard(): self.func_test_tensor_cov_weights() self.func_test_tensor_cov_weights() class Cov_Test2(Cov_Test): def setUp(self): self.shape = [10] self.weightshape = [10] # Input(x) only support N-D (1<=N<=2) tensor class Cov_Test3(unittest.TestCase): def setUp(self): self.shape = [2, 5, 10] self.fweightshape = [10] self.aweightshape = [10] self.fw_s = 1. self.aw_s = 1. def func_test_errors(self): def test_err(): np_arr = np.random.rand(*self.shape).astype('float64') np_fw = self.fw_s * np.random.rand( *self.fweightshape).astype('int32') np_aw = self.aw_s * np.random.rand( *self.aweightshape).astype('float64') tensor = paddle.to_tensor(np_arr) fweights = paddle.to_tensor(np_fw) aweights = paddle.to_tensor(np_aw) cov = paddle.linalg.cov(tensor, rowvar=True, ddof=True, fweights=fweights, aweights=aweights) self.assertRaises(ValueError, test_err) def test_errors(self): with _test_eager_guard(): self.func_test_errors() self.func_test_errors() #Input(fweights) only support N-D (N<=1) tensor class Cov_Test4(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [2, 10] self.aweightshape = [10] self.fw_s = 1. self.aw_s = 1. #The number of Input(fweights) should equal to x's dim[1] class Cov_Test5(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [5] self.aweightshape = [10] self.fw_s = 1. self.aw_s = 1. #The value of Input(fweights) cannot be negtive class Cov_Test6(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [10] self.aweightshape = [10] self.fw_s = -1. self.aw_s = 1. #Input(aweights) only support N-D (N<=1) tensor class Cov_Test7(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [10] self.aweightshape = [2, 10] self.fw_s = 1. self.aw_s = 1. #The number of Input(aweights) should equal to x's dim[1] class Cov_Test8(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [10] self.aweightshape = [5] self.fw_s = 1. self.aw_s = 1. #The value of Input(aweights) cannot be negtive class Cov_Test9(Cov_Test3): def setUp(self): self.shape = [5, 10] self.fweightshape = [10] self.aweightshape = [10] self.fw_s = 1. self.aw_s = -1. if __name__ == '__main__': unittest.main()

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5

309abbd4d5febdc32ec33eb32a5b645e1b316f9c

808

py

Python

cpc/abst/Location.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

1

2021-05-09T07:10:19.000Z

cpc/abst/Location.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

null

cpc/abst/Location.py

U-Ar/Cpresto

f723458fb237c9e3e8bc8a6afdf7c81858a65363

[ "BSD-3-Clause" ]

null

from .CprestoToken import CprestoToken class Location: def __init__(self,sourcename,token,kindname=""): self._source_name = sourcename if isinstance(token,CprestoToken): self._token = token else : self._token = CprestoToken(token,kindname) def source_name(self): return self._source_name def token(self): return self._token def lineno(self): return self._token.lineno() def column(self): return self._token.column() def line(self): return self._token.included_line() def numbered_line(self): return "line " + str(self._token.lineno()) + ": " + self.line() def to_string(self): return self._source_name + ":" + str(self._token.lineno())

26.064516

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808

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null

0

1

0

1

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5

30b34b0d803bd2e9500bda5d49c0d245448efe59

720

py

Python

tests/test_enum.py

ChomusukeBot/Tokki

0414ecce59c9fc321b2ccc7aab344a2f0dd54099

[ "MIT" ]

null

tests/test_enum.py

ChomusukeBot/Tokki

0414ecce59c9fc321b2ccc7aab344a2f0dd54099

[ "MIT" ]

11

2019-07-12T09:19:24.000Z

2020-03-13T06:00:09.000Z

tests/test_enum.py

ChomusukeBot/Tokki

0414ecce59c9fc321b2ccc7aab344a2f0dd54099

[ "MIT" ]

1

2019-10-01T21:05:00.000Z

import pytest from tokki.enums import Status @pytest.mark.asyncio async def test_all_values(): assert Status.from_name("created") == Status.InProgress assert Status.from_name("received") == Status.InProgress assert Status.from_name("started") == Status.InProgress assert Status.from_name("passed") == Status.Success assert Status.from_name("failed") == Status.Failed assert Status.from_name("errored") == Status.Failed assert Status.from_name("canceled") == Status.Canceled @pytest.mark.asyncio async def test_invalid_values(): with pytest.raises(ValueError): Status.from_name("invalid_value") with pytest.raises(ValueError): Status.from_name("not_a_real_status")

32.727273

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null

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0

1

0

5

30dbb031d2f99af7fac6464b8813d33dd2c65818

41

py

Python

src/clearskies/input_outputs/exceptions/cli_input_error.py

cmancone/clearskies

aaa33fef6d03205faf26f123183a46adc1dbef9c

[ "MIT" ]

4

2021-04-23T18:13:06.000Z

2022-03-26T01:51:01.000Z

src/clearskies/input_outputs/exceptions/cli_input_error.py

cmancone/clearskies

aaa33fef6d03205faf26f123183a46adc1dbef9c

[ "MIT" ]

null

src/clearskies/input_outputs/exceptions/cli_input_error.py

cmancone/clearskies

aaa33fef6d03205faf26f123183a46adc1dbef9c

[ "MIT" ]

null

class CLIInputError(Exception): pass

13.666667

31

0.756098

4

41

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1

0

0.170732

41

2

32

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true

0.5

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0.5

0

1

0

null

0

1

0

null

0

1

0

5

30fa45013647f6f603ed360be9996d60f942d045

40

py

Python

tests/util/test_pagination.py

Justasic/Privacy.py

471e6669a1e22e539459bbeb24de4efd3b7a11e0

[ "BSD-3-Clause" ]

3

2019-11-04T16:11:36.000Z

2021-05-24T18:56:40.000Z

tests/util/test_pagination.py

Justasic/Privacy.py

471e6669a1e22e539459bbeb24de4efd3b7a11e0

[ "BSD-3-Clause" ]

9

2019-11-09T01:47:58.000Z

2022-03-30T00:19:20.000Z

tests/util/test_pagination.py

Justasic/Privacy.py

471e6669a1e22e539459bbeb24de4efd3b7a11e0

[ "BSD-3-Clause" ]

2

2020-08-12T03:22:29.000Z

2020-12-10T00:08:46.000Z

"""Tests for privacy.util.pagination"""

20

39

0.725

5

40

5.8

1

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0.075

40

1

40

0.783784

0.825

0

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1

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1

0

null

0

1

0

5

a50344ba4b94b68fb3ddb1c02d59e6343e8d02ff

66

py

Python

social/backends/openstreetmap.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

1,987

2015-01-01T16:12:45.000Z

2022-03-29T14:24:25.000Z

social/backends/openstreetmap.py

raccoongang/python-social-auth

81c0a542d158772bd3486d31834c10af5d5f08b0

[ "BSD-3-Clause" ]

731

2015-01-01T22:55:25.000Z

2022-03-10T15:07:51.000Z

virtual/lib/python3.6/site-packages/social/backends/openstreetmap.py

dennismwaniki67/awards

80ed10541f5f751aee5f8285ab1ad54cfecba95f

[ "MIT" ]

1,082

2015-01-01T16:27:26.000Z

2022-03-22T21:18:33.000Z

from social_core.backends.openstreetmap import OpenStreetMapOAuth

33

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1

0

1

0

5

a5138f01b9e59569ba13da131df7a6c38791ee5f

170

py

Python

feline/jobposts/admin.py

Jeanluis019/feline

f802f7a57490b9425b32d88fa10d9cd7234e3a1f

[ "MIT" ]

6

2021-10-13T01:05:27.000Z

2021-11-10T03:15:15.000Z

feline/jobposts/admin.py

Jeanluis019/feline

f802f7a57490b9425b32d88fa10d9cd7234e3a1f

[ "MIT" ]

1

2022-03-30T21:26:16.000Z

feline/jobposts/admin.py

Jeanluis019/feline

f802f7a57490b9425b32d88fa10d9cd7234e3a1f

[ "MIT" ]

1

2021-11-10T13:32:21.000Z

from django.contrib import admin from .models import Category, Company, JobPost admin.site.register(Category) admin.site.register(Company) admin.site.register(JobPost)

21.25

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170

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1

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null

0

1

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1

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5

a517487de15df9acfa81439d249bdb940a34774d

106

py

Python

enthought/envisage/developer/code_browser/klass.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/envisage/developer/code_browser/klass.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/envisage/developer/code_browser/klass.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from envisage.developer.code_browser.klass import *

26.5

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1

0

1

0

1

0

5

eb55475cead7cacf316d09a339bcf548ed480d9e

13,670

py

Python

crawler/threads.py

wvvww/youtube-video-crawler

0a40aa3a3027db89335c9c5bc928c2fb0e7ed45a

[ "MIT" ]

null

crawler/threads.py

wvvww/youtube-video-crawler

0a40aa3a3027db89335c9c5bc928c2fb0e7ed45a

[ "MIT" ]

null

crawler/threads.py

wvvww/youtube-video-crawler

0a40aa3a3027db89335c9c5bc928c2fb0e7ed45a

[ "MIT" ]

null

from .constants import * from multiprocessing import Queue from typing import Iterator from redis import Redis from time import perf_counter import socket import ssl import brotli context = ssl.create_default_context() def parse_chunked_body(data): temp = b"" while True: size, data = data.split(b"\r\n", 1) size = int(size, 16) if not size: break temp += data[:size] data = data[size+2:] temp = brotli.decompress(temp) return temp def find_channel_ids(data: bytes): ids = set() index = 0 while True: offset = data.find(b'browseId": "', index) if offset == -1: return tuple(ids) ids.add(data[offset+12:offset+36].decode()) index = offset + 24 def find_video_ids(data: bytes): ids = set() index = 0 while True: offset = data.find(b"?v=", index) if offset == -1: return tuple(ids) ids.add(data[offset+3:offset+14].decode()) index = offset + 11 def find_playlist_ids(data: bytes): ids = set() index = 0 while True: offset = data.find(b"list=", index) if offset == -1: return tuple(ids) ids.add(data[offset+5:offset+39].split(b'"', 1)[0].decode()) index = offset + 34 def crawler( crawl_queue: Queue, crawl_cache: Redis, proxy_iter: Iterator ): sock = None while True: if sock: try: sock.shutdown(2) except OSError: pass sock.close() sock = None proxy = next(proxy_iter) try: sock = socket.socket() sock.settimeout(5) sock.connect(proxy[1]) sock.sendall(f"CONNECT www.youtube.com:443 HTTP/1.1\r\nProxy-Authorization: {proxy[0]}\r\n\r\n".encode()) resp = sock.recv(1024000) if not any(resp.startswith(f"HTTP/{v} 200".encode()) for v in ("1.0", "1.1")): continue sock = context.wrap_socket(sock, False, False, False, "www.youtube.com") sock.do_handshake() except: continue while True: try: target_type, target = crawl_queue.get(True) except: continue try: if crawl_cache.get(target): continue crawl_cache.set(target, 1) if target_type == CHANNEL: # Get channel's playlists sock.sendall(( f"GET /channel/{target}/playlists HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" ).encode()) resp = sock.recv(1024000) if resp.startswith(b"HTTP/1.0 404"): print(f"DROPPED: Channel {target} does not exist.") continue if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Channel {target} returned non-OK status: {resp[:50]}") crawl_cache.delete(target) crawl_queue.put((target_type, target)) break body = b"" while not body.endswith(b"0\r\n\r\n"): body += sock.recv(100000) body = parse_chunked_body(body) playlist_ids = find_playlist_ids(body) for index, cached in enumerate(crawl_cache.mget(playlist_ids)): playlist_id = playlist_ids[index] if not cached: crawl_queue.put((PLAYLIST, playlist_id)) # sock.sendall(( f"GET /channel/{target}/videos HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" ).encode()) resp = sock.recv(1024000) if resp.startswith(b"HTTP/1.0 404"): print(f"DROPPED: Channel {target} does not exist.") continue if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Channel {target} returned non-OK status: {resp[:50]}") crawl_cache.delete(target) crawl_queue.put((target_type, target)) break body = b"" while not body.endswith(b"0\r\n\r\n"): body += sock.recv(100000) body = parse_chunked_body(body) video_ids = find_video_ids(body) for index, cached in enumerate(crawl_cache.mget(video_ids)): video_id = video_ids[index] if not cached: print(f"https://www.youtube.com/watch?v={video_id}") crawl_queue.put((VIDEO, video_id)) try: continuation_key = body.split(b'"token":"', 1)[1].split(b'"', 1)[0].decode() except: continue for _ in range(5): payload = '{"context":{"client":{"clientName":"WEB","clientVersion":"2.20211025.01.00"},"user":{"lockedSafetyMode":false}},"continuation":"%s"}' % continuation_key sock.sendall(( "POST /youtubei/v1/browse?key=AIzaSyAO_FJ2SlqU8Q4STEHLGCilw_Y9_11qcW8 HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" f"Content-Length: {len(payload)}\r\n" "Content-Type: application/json\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" f"{payload}" ).encode()) resp = sock.recv(102400) if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Video list API for channel {target} returned non-OK status: {resp[:50]}") crawl_queue.put((target_type, target)) break resp, body = resp.split(b"\r\n\r\n", 1) length = int(resp.split(b"Content-Length: ", 1)[1].split(b"\r\n", 1)[0]) while length > len(body): body += sock.recv(100000) body = brotli.decompress(body) video_ids = find_video_ids(body) for index, cached in enumerate(crawl_cache.mget(video_ids)): video_id = video_ids[index] if not cached: print(f"https://www.youtube.com/watch?v={video_id}") crawl_queue.put((VIDEO, video_id)) try: continuation_key = body.split(b'":{"token": "', 1)[1].split(b'"', 1)[0].decode() except: break elif target_type == VIDEO: sock.sendall(( f"GET /watch?v={target} HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" ).encode()) resp = sock.recv(1024000) if resp.startswith(b"HTTP/1.0 404"): print(f"DROPPED: Video {target} does not exist.") continue if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Video {target} returned non-OK status: {resp[:50]}") crawl_cache.delete(target) crawl_queue.put((target_type, target)) break body = b"" while not body.endswith(b"0\r\n\r\n"): body += sock.recv(100000) body = parse_chunked_body(body) continuation_key = body.split(b'":{"token":"', 1)[1].split(b'"', 1)[0].decode() for page in range(5): payload = '{"context":{"client":{"clientName":"WEB","clientVersion":"2.20211025.01.00"},"user":{"lockedSafetyMode":false}},"continuation":"%s"}' % continuation_key sock.sendall(( "POST /youtubei/v1/next?key=AIzaSyAO_FJ2SlqU8Q4STEHLGCilw_Y9_11qcW8 HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" f"Content-Length: {len(payload)}\r\n" "Content-Type: application/json\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" f"{payload}" ).encode()) resp = sock.recv(102400) if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Comment API for video {target} returned non-OK status: {resp[:50]}") crawl_queue.put((target_type, target)) break resp, body = resp.split(b"\r\n\r\n", 1) length = int(resp.split(b"Content-Length: ", 1)[1].split(b"\r\n", 1)[0]) while length > len(body): body += sock.recv(100000) body = brotli.decompress(body) channel_ids = find_channel_ids(body) for index, cached in enumerate(crawl_cache.mget(channel_ids)): channel_id = channel_ids[index] if not cached: crawl_queue.put((CHANNEL, channel_id)) if not b"RELOAD_CONTINUATION_SLOT_BODY" in body: break continuation_key = body.rsplit(b'"token": "', 1)[1].split(b'"', 1)[0].decode() elif target_type == PLAYLIST: sock.sendall(( f"GET /playlist?list={target} HTTP/1.1\r\n" "Host: www.youtube.com\r\n" "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36\r\n" "Accept-Encoding: br\r\n" "Cookie: CONSENT=YES+cb.20211026-09-p1.en+FX+731\r\n" "\r\n" ).encode()) resp = sock.recv(1024000) if resp.startswith(b"HTTP/1.0 404"): print(f"DROPPED: Playlist {target} does not exist.") continue if not resp.startswith(b"HTTP/1.1 200"): print(f"RE-ADDED: Playlist {target} returned non-OK status: {resp[:50]}") crawl_cache.delete(target) crawl_queue.put((target_type, target)) break body = b"" while not body.endswith(b"0\r\n\r\n"): body += sock.recv(100000) body = parse_chunked_body(body) video_ids = find_video_ids(body) for index, cached in enumerate(crawl_cache.mget(video_ids)): video_id = video_ids[index] if not cached: print(f"https://www.youtube.com/watch?v={video_id}") crawl_queue.put((VIDEO, video_id)) except (socket.timeout, ssl.SSLError): try: crawl_cache.delete(target) except: pass break except Exception as err: print(f"{err!r}") try: crawl_cache.delete(target) except: pass break

44.819672

187

0.451939

1,509

13,670

4.018555

0.133863

0.018799

0.012863

0.008575

0.762368

0.75841

0.749175

0.725429

0.719822

0

0.067831

0.430578

13,670

304

188

44.967105

0.711202

0.001683

0

0.679688

0

0.066406

0.239006

0.057241

0

1

0.019531

false

0.011719

0.03125

0

0.054688

0

null

0

1

0

null

0

5

eb760b05f4c064d4785c72806a4cc77197786520

18

py

Python

main.py

alijangjoo/testRipo

442f9a2d58ce7827171256688b337408430090c7

[ "MIT" ]

null

main.py

alijangjoo/testRipo

442f9a2d58ce7827171256688b337408430090c7

[ "MIT" ]

null

main.py

alijangjoo/testRipo

442f9a2d58ce7827171256688b337408430090c7

[ "MIT" ]

null

print('hello ali')

18

0.722222

3

18

4.333333

1

0

0.055556

18

1

18

0.764706

0

0.473684

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

eb91bdc76596c1c320a981751408826b8d512986

83

py

Python

app/api/__init__.py

ntorr/calendar-web-app

9228ba39ef288f329cac0d9992328db22a9eecd0

[ "MIT" ]

null

app/api/__init__.py

ntorr/calendar-web-app

9228ba39ef288f329cac0d9992328db22a9eecd0

[ "MIT" ]

null

app/api/__init__.py

ntorr/calendar-web-app

9228ba39ef288f329cac0d9992328db22a9eecd0

[ "MIT" ]

null

from .helloworld import helloworld from .auth import auth from .event import event

20.75

34

0.819277

12

83

5.666667

0.416667

0

0.144578

83

3

35

27.666667

0.957746

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ebbb00a079152c2d447a7b71bb8ecacad5989b25

2,121

py

Python

src/matchers/structure/s_matcher_builder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

2

2021-01-05T02:55:57.000Z

2021-04-16T15:49:08.000Z

src/matchers/structure/s_matcher_builder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

null

src/matchers/structure/s_matcher_builder.py

MelvinYin/Defined_Proteins

75da20be82a47d85d27176db29580ab87d52b670

[ "BSD-3-Clause" ]

1

2021-01-05T08:12:38.000Z

import logging import numpy as np import os import pickle from config import paths from matchers.structure.s_matcher import Matcher def load_matchers(): input_df = os.path.join(paths.DESCRS, "mg_descr.pkl") output_matcher = os.path.join(paths.MATCHERS, "mg_matcher.pkl") with open(input_df, 'rb', -1) as file: df = pickle.load(file) matcher = Matcher(cropped=False) matcher.load(df) with open(output_matcher, 'wb') as file: pickle.dump(matcher, file, -1) print("mg_descr done") input_df = os.path.join(paths.DESCRS, "efhand_descr.pkl") output_matcher = os.path.join(paths.MATCHERS, "efhand_matcher.pkl") with open(input_df, 'rb', -1) as file: df = pickle.load(file) matcher = Matcher(cropped=False) matcher.load(df) with open(output_matcher, 'wb') as file: pickle.dump(matcher, file, -1) print("efhand_descr done") input_df = os.path.join(paths.DESCRS, "GxxGxG_descr.pkl") output_matcher = os.path.join(paths.MATCHERS, "GxxGxG_matcher.pkl") with open(input_df, 'rb', -1) as file: df = pickle.load(file) matcher = Matcher(cropped=False) matcher.load(df) with open(output_matcher, 'wb') as file: pickle.dump(matcher, file, -1) print("GxxGxG_matcher done") input_df = os.path.join(paths.DESCRS, "GxGGxG_descr.pkl") output_matcher = os.path.join(paths.MATCHERS, "GxGGxG_matcher.pkl") with open(input_df, 'rb', -1) as file: df = pickle.load(file) matcher = Matcher(cropped=False) matcher.load(df) with open(output_matcher, 'wb') as file: pickle.dump(matcher, file, -1) print("GxGGxG_matcher done") input_df = os.path.join(paths.DESCRS, "GxGxxG_descr.pkl") output_matcher = os.path.join(paths.MATCHERS, "GxGxxG_matcher.pkl") with open(input_df, 'rb', -1) as file: df = pickle.load(file) matcher = Matcher(cropped=False) matcher.load(df) with open(output_matcher, 'wb') as file: pickle.dump(matcher, file, -1) print("GxGxxG_matcher done") pass if __name__ == "__main__": load_matchers()

30.73913

71

0.665724

305

2,121

4.478689

0.144262

0.051245

0.073206

0.10981

0.823572

0.803075

0.530747

0

0.005886

0.198963

2,121

68

72

31.191176

0.798117

0

0.545455

0

0.130846

0

1

0.018182

false

0.018182

0.109091

0

0.127273

0.090909

0

null

0

1

0

null

0

5

ebcac291d2491ce387d6ec5ac7827b2da63cce37

510

py

Python

degmo/data/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

2

2019-11-21T15:50:59.000Z

2019-12-17T02:44:19.000Z

degmo/data/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

null

degmo/data/__init__.py

IcarusWizard/Deep-Generative-Models

4117c11ad944bdeff106a80adbb3642a076af64e

[ "MIT" ]

1

2021-07-02T05:49:29.000Z

from .registry import add_dataset, make_dataset add_dataset('bmnist', 'degmo.data.datasets:load_bmnist') add_dataset('mnist', 'degmo.data.datasets:load_mnist') add_dataset('cifar', 'degmo.data.datasets:load_cifar') add_dataset('svhn', 'degmo.data.datasets:load_svhn') add_dataset('celeba', 'degmo.data.datasets:load_celeba') add_dataset('celeba32', 'degmo.data.datasets:load_celeba32') add_dataset('celeba64', 'degmo.data.datasets:load_celeba64') add_dataset('celeba128', 'degmo.data.datasets:load_celeba128')

51

62

0.798039

71

510

5.478873

0.253521

0.231362

0.349614

0.431877

0

0.02863

0.041176

510

10

62

51

0.766871

0

0.590998

0.491194

0

1

0

true

0

0.111111

0

0.111111

0

null

1

0

1

null

0

1

0

5

ccda3534f1181565bc0ad301dc1b42e1005c475b

145

py

Python

test/heat/__init__.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

null

test/heat/__init__.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

1

2018-11-21T14:13:07.000Z

2018-11-21T14:13:12.000Z

test/heat/__init__.py

franklinzhanggis/model-interoperable-engine

40b724813bec9af16f4ca95e36f8ff16be787315

[ "MIT" ]

4

2018-11-07T15:09:01.000Z

2021-05-12T09:29:27.000Z

"""Model the diffusion of heat over a 2D plate.""" from .bmi_heat import BmiHeat from .heat import solve_2d __all__ = ['BmiHeat', 'solve_2d']

18.125

50

0.717241

23

145

4.217391

0.652174

0.206186

0

0.024793

0.165517

145

7

51

20.714286

0.77686

0.303448

0

0.157895

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ccee3785bb13efa5fb5b4d0918d34de21a891871

31

py

Python

TrainHelper/callbacks/__init__.py

MaLiN2223/TrainHelper

0119185c1f260d03c3c364dfeda6271a92e812ef

[ "MIT" ]

1

2018-04-01T21:47:36.000Z

TrainHelper/callbacks/__init__.py

MaLiN2223/TrainHelper

0119185c1f260d03c3c364dfeda6271a92e812ef

[ "MIT" ]

null

TrainHelper/callbacks/__init__.py

MaLiN2223/TrainHelper

0119185c1f260d03c3c364dfeda6271a92e812ef

[ "MIT" ]

null

from .repeater import Repeater

15.5

30

0.83871

4

31

6.5

0.75

0

0.129032

31

1

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

690d423df56b351f8d0c2fb564d3740a8e1acf78

3,178

py

Python

NLP/BERT/utils/optimizer.py

LiuHaolan/models

1639b3039237c3997c51ff87f0b6113bb2e8d236

[ "Apache-2.0" ]

43

2021-06-03T09:07:08.000Z

2022-03-31T15:21:48.000Z

NLP/BERT/utils/optimizer.py

LiuHaolan/models

1639b3039237c3997c51ff87f0b6113bb2e8d236

[ "Apache-2.0" ]

64

2021-05-31T10:34:06.000Z

2022-01-17T03:44:58.000Z

NLP/BERT/utils/optimizer.py

LiuHaolan/models

1639b3039237c3997c51ff87f0b6113bb2e8d236

[ "Apache-2.0" ]

37

2021-07-04T03:13:18.000Z

2022-03-25T07:30:47.000Z

import oneflow.nn as nn import copy import oneflow as flow from typing import List from .lamb_optimizer import LAMB def build_optimizer( optim_name: str, model: nn.Module, lr: float, weight_decay: float, weight_decay_excludes: List[str], clip_grad_max_norm: float = None, clip_grad_norm_type: float = None, ): assert optim_name in [ "adamw", "lamb", ], f"only support adamw and lamb now, but got {optim_name}" params = [] exclude_params = [] use_clip = clip_grad_max_norm is not None and clip_grad_norm_type is not None if use_clip: defaults = { "lr": lr, "clip_grad_max_norm": clip_grad_max_norm, "clip_grad_norm_type": clip_grad_norm_type, } else: defaults = {"lr": lr} hyperparameters = copy.copy(defaults) for module_name, param in model.named_parameters(): add_to_exclude = False for exclude_name in weight_decay_excludes: if module_name.find(exclude_name) != -1: exclude_params.append(param) add_to_exclude = True break if not add_to_exclude: params.append(param) all_params = [ {"params": params, "weight_decay": weight_decay, **hyperparameters,}, {"params": exclude_params, "weight_decay": 0.0, **hyperparameters,}, ] if optim_name == "adamw": return flow.optim.AdamW(all_params) elif optim_name == "lamb": return LAMB(all_params) def build_sgd_optimizer( model: nn.Module, lr: float, momentum: float, weight_decay: float, weight_decay_excludes: List[str] = [""], clip_grad_max_norm: float = None, clip_grad_norm_type: float = None, ) -> flow.optim.Optimizer: defaults = {"lr": lr, "momentum": momentum} params = [] exclude_params = [] use_clip = clip_grad_max_norm is not None and clip_grad_norm_type is not None hyperparameters = copy.copy(defaults) for module_name, param in model.named_parameters(): add_to_exclude = False for exclude_name in weight_decay_excludes: if module_name.find(exclude_name) != -1: exclude_params.append(param) add_to_exclude = True break if not add_to_exclude: params.append(param) if use_clip: all_params = [ { "params": params, "clip_grad_max_norm": clip_grad_max_norm, "clip_grad_norm_type": clip_grad_norm_type, "weight_decay": weight_decay, **hyperparameters, }, { "params": exclude_params, "clip_grad_max_norm": clip_grad_max_norm, "clip_grad_norm_type": clip_grad_norm_type, "weight_decay": 0.0, **hyperparameters, }, ] else: all_params = [ {"params": params, "weight_decay": weight_decay, **hyperparameters,}, {"params": exclude_params, "weight_decay": 0.0, **hyperparameters,}, ] return flow.optim.SGD(all_params)

30.854369

81

0.596287

378

3,178

4.677249

0.174603

0.090498

0.062217

0.084842

0.751697

0.722285

0.700226

0

0.003641

0.308685

3,178

102

82

31.156863

0.801092

0

0.591398

0

0.095658

0

0.010753

1

0.021505

false

0

0.053763

0

0.107527

0

null

0

1

0

null

0

5

691e85318ae2703476c6c8f7f6131a1dbde97875

116

py

Python

function/function_local.py

mrgiser/helloworld-python

7af347e125e7189f4ed26c24d25e4c7664072892

[ "Apache-2.0" ]

null

function/function_local.py

mrgiser/helloworld-python

7af347e125e7189f4ed26c24d25e4c7664072892

[ "Apache-2.0" ]

null

function/function_local.py

mrgiser/helloworld-python

7af347e125e7189f4ed26c24d25e4c7664072892

[ "Apache-2.0" ]

null

x = 50 def func(x): print('x is', x) x = 2 print('Changed local x to', x) func(x) print('x is still', x)

16.571429

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116

7

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16.571429

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null

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null

0

1

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5

695ae51d154d524aa62286f55a79b7fe82efa531

7,933

py

Python

projects/vdk-core/tests/functional/ingestion/test_ingest_chain.py

alod83/versatile-data-kit

9ca672d3929eb3dc6fe5c677e8c8a75e2a0d2be8

[ "Apache-2.0" ]

100

2021-10-04T09:32:04.000Z

2022-03-30T11:23:53.000Z

projects/vdk-core/tests/functional/ingestion/test_ingest_chain.py

alod83/versatile-data-kit

9ca672d3929eb3dc6fe5c677e8c8a75e2a0d2be8

[ "Apache-2.0" ]

208

2021-10-04T16:56:40.000Z

2022-03-31T10:41:44.000Z

projects/vdk-core/tests/functional/ingestion/test_ingest_chain.py

alod83/versatile-data-kit

9ca672d3929eb3dc6fe5c677e8c8a75e2a0d2be8

[ "Apache-2.0" ]

14

2021-10-11T14:15:13.000Z

2022-03-11T13:39:17.000Z

# Copyright 2021 VMware, Inc. # SPDX-License-Identifier: Apache-2.0 """ Functional test aiming at verifying the end-to-end operation of the ingestion plugins chaining functionality """ import logging import os from unittest import mock from click.testing import Result from vdk.plugin.test_utils.ingest_util_plugins import AddPayloadSizeAsColumn from vdk.plugin.test_utils.ingest_util_plugins import ConvertPayloadValuesToString from vdk.plugin.test_utils.ingest_util_plugins import DummyIngestionPlugin from vdk.plugin.test_utils.util_funcs import cli_assert_equal from vdk.plugin.test_utils.util_funcs import CliEntryBasedTestRunner from vdk.plugin.test_utils.util_funcs import jobs_path_from_caller_directory from vdk.plugin.test_utils.util_plugins import IngestIntoMemoryPlugin log = logging.getLogger(__name__) def get_shared_result_data(): expected_object = dict( int_key=str(42), str_key="example_str", bool_key=str(True), float_key=str(1.23), nested=str(dict(key="value")), payload_size=163, ) expected_rows_object = {"first": "two", "payload_size": 80, "second": "2"} return expected_object, expected_rows_object # INGEST_PAYLOAD_PREPROCESS_SEQUENCE="" @mock.patch.dict( os.environ, {"VDK_INGEST_METHOD_DEFAULT": "memory"}, ) def test_ingest_no_preprocessing(): ingest_plugin = IngestIntoMemoryPlugin() runner = CliEntryBasedTestRunner(ingest_plugin) result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("no-ingest-method-job")] ) cli_assert_equal(0, result) expected_object = dict( int_key=42, str_key="example_str", bool_key=True, float_key=1.23, nested=dict(key="value"), ) assert ingest_plugin.payloads[0].payload[0] == expected_object assert ingest_plugin.payloads[0].destination_table == "object_table" expected_rows_object = {"first": "two", "second": 2} assert ingest_plugin.payloads[1].payload[0] == expected_rows_object assert ingest_plugin.payloads[1].destination_table == "tabular_table" # INGEST_PAYLOAD_PREPROCESS_SEQUENCE=A,B in job code method = C @mock.patch.dict( os.environ, {"VDK_INGEST_PAYLOAD_PREPROCESS_SEQUENCE": "convert-to-string," "add-payload-size"}, ) def test_chained_ingest_direct_method_passed(): pre_ingest_plugin = ConvertPayloadValuesToString() payload_size_plugin = AddPayloadSizeAsColumn() ingest_plugin = IngestIntoMemoryPlugin() runner = CliEntryBasedTestRunner( pre_ingest_plugin, payload_size_plugin, ingest_plugin ) expected_object, expected_rows_object = get_shared_result_data() # Use a sample data job, in which `method` argument is passed to ingestion # method calls. result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("test-ingest-job")] ) cli_assert_equal(0, result) assert ingest_plugin.payloads[0].payload[0] == expected_object assert ingest_plugin.payloads[0].destination_table == "object_table" assert ingest_plugin.payloads[1].payload[0] == expected_rows_object assert ingest_plugin.payloads[1].destination_table == "tabular_table" # INGEST_PAYLOAD_PREPROCESS_SEQUENCE=A,B no ingest method specified @mock.patch.dict( os.environ, {"VDK_INGEST_PAYLOAD_PREPROCESS_SEQUENCE": "convert-to-string," "add-payload-size"}, ) def test_chained_ingest_no_method_passed(): pre_ingest_plugin = ConvertPayloadValuesToString() payload_size_plugin = AddPayloadSizeAsColumn() runner = CliEntryBasedTestRunner(pre_ingest_plugin, payload_size_plugin) # Use a sample data job, in which `method` argument is not passed to # ingestion method calls, thus causing an User Error to be raised. # NOTE: pre-process plugins will not be invoked. result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("no-ingest-method-job")] ) cli_assert_equal(1, result) assert "User Error" in result.stdout # INGEST_PAYLOAD_PREPROCESS_SEQUENCE=A,B and VDK_INGEST_METHOD_DEFAULT=C @mock.patch.dict( os.environ, { "VDK_INGEST_PAYLOAD_PREPROCESS_SEQUENCE": "convert-to-string," "add-payload-size", "VDK_INGEST_METHOD_DEFAULT": "memory", }, ) def test_chained_ingest_no_direct_method_passed(): payload_to_string_plugin = ConvertPayloadValuesToString() payload_size_plugin = AddPayloadSizeAsColumn() ingest_plugin = IngestIntoMemoryPlugin() runner = CliEntryBasedTestRunner( payload_to_string_plugin, payload_size_plugin, ingest_plugin ) expected_object, expected_rows_object = get_shared_result_data() # Use a sample data job, in which `method` argument is not passed to # ingestion method calls. result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("no-ingest-method-job")] ) cli_assert_equal(0, result) assert ingest_plugin.payloads[0].payload[0] == expected_object assert ingest_plugin.payloads[0].destination_table == "object_table" assert ingest_plugin.payloads[1].payload[0] == expected_rows_object assert ingest_plugin.payloads[1].destination_table == "tabular_table" # INGEST_PAYLOAD_PREPROCESS_SEQUENCE=A,B and VDK_INGEST_METHOD_DEFAULT=C and # job code is D @mock.patch.dict( os.environ, { "VDK_INGEST_PAYLOAD_PREPROCESS_SEQUENCE": "convert-to-string," "add-payload-size", "VDK_INGEST_METHOD_DEFAULT": "dummy-ingest", }, ) def test_chained_ingest_no_direct_method_passed(): payload_to_string_plugin = ConvertPayloadValuesToString() payload_size_plugin = AddPayloadSizeAsColumn() dummy_ingest_plugin = DummyIngestionPlugin() ingest_plugin = IngestIntoMemoryPlugin() runner = CliEntryBasedTestRunner( payload_to_string_plugin, payload_size_plugin, dummy_ingest_plugin, ingest_plugin, ) expected_object, expected_rows_object = get_shared_result_data() # Use a sample data job, in which `method` argument is not passed to # ingestion method calls. result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("test-ingest-job")] ) cli_assert_equal(0, result) assert ingest_plugin.payloads[0].payload[0] == expected_object assert ingest_plugin.payloads[0].destination_table == "object_table" assert ingest_plugin.payloads[1].payload[0] == expected_rows_object assert ingest_plugin.payloads[1].destination_table == "tabular_table" # INGEST_PAYLOAD_PREPROCESS_SEQUENCE=A,B - A,B are used for pre-processing, # B is used for ingesting and post-processing. # TODO: modify add-payload-size plugin to expose the result from post-ingestion # to verify post-processor operations @mock.patch.dict( os.environ, { "VDK_INGEST_PAYLOAD_PREPROCESS_SEQUENCE": "convert-to-string," "add-payload-size", "VDK_INGEST_METHOD_DEFAULT": "add-payload-size", "VDK_INGEST_PAYLOAD_POSTPROCESS_SEQUENCE": "add-payload-size", }, ) def test_end_to_end_ingestion_capabilities(): payload_to_string_plugin = ConvertPayloadValuesToString() payload_size_plugin = AddPayloadSizeAsColumn() runner = CliEntryBasedTestRunner(payload_to_string_plugin, payload_size_plugin) expected_object, expected_rows_object = get_shared_result_data() # Use a sample data job, in which `method` argument is not passed to # ingestion method calls. result: Result = runner.invoke( ["run", jobs_path_from_caller_directory("no-ingest-method-job")] ) cli_assert_equal(0, result) assert payload_size_plugin.payloads[0].payload[0] == expected_object assert payload_size_plugin.payloads[0].destination_table == "object_table" assert payload_size_plugin.payloads[1].payload[0] == expected_rows_object assert payload_size_plugin.payloads[1].destination_table == "tabular_table"

35.895928

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0.744989

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7,933

5.614458

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0.064378

0.051502

0.074392

0.81706

0.769134

0.756617

0.72872

0.680079

0.620887

0

0.008864

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7,933

220

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36.059091

0.83128

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0

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0

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0

0.004545

0.183007

1

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false

0.026144

0.071895

0

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0

null

0

1

0

1

0

null

0

5

695c8a0a4781bd01bf87b3f36897261c56feb21e

205

py

Python

manage.py

GnomGad/KworkBrowser

34c016dd5c6d1da0773c8ae10d6f03da8f993e20

[ "MIT" ]

null

manage.py

GnomGad/KworkBrowser

34c016dd5c6d1da0773c8ae10d6f03da8f993e20

[ "MIT" ]

2

2021-03-31T19:56:35.000Z

2021-12-13T20:45:55.000Z

manage.py

GnomGad/KworkBrowser

34c016dd5c6d1da0773c8ae10d6f03da8f993e20

[ "MIT" ]

1

2021-02-24T15:29:35.000Z

import sys from src.core import execute_from_command_line def main(): execute_from_command_line(sys.argv[1:]) #execute_from_command_line(["get","-p","0"]) if __name__ == "__main__": main()

17.083333

48

0.697561

30

205

4.2

0.566667

0.261905

0.428571

0.52381

0

0.011494

0.15122

205

12

49

17.083333

0.712644

0.209756

0

0.049383

0

1

0.166667

true

0

0.333333

0

0.5

0

null

1

0

null

0

1

0

1

0

5

15f4c628f237c49b29f3b51e444e62bb6383a0fc

215

py

Python

Week 1 In-out, int and bool/Task07.py

retverd/python_hse

cb9bfb092c1cf68ae0c53b9919ca24a71a8cbf88

[ "MIT" ]

null

Week 1 In-out, int and bool/Task07.py

retverd/python_hse

cb9bfb092c1cf68ae0c53b9919ca24a71a8cbf88

[ "MIT" ]

null

Week 1 In-out, int and bool/Task07.py

retverd/python_hse

cb9bfb092c1cf68ae0c53b9919ca24a71a8cbf88

[ "MIT" ]

null

# По закону Ома U = IR (напряжение равно произведению силы тока на сопротивление). Определите U (напряжение), если # I = 102341132412344234, R = 9876387639476324727. print(102341132412344234 * 9876387639476324727)

43

114

0.790698

23

215

7.391304

0.826087

0

0.397849

0.134884

215

4

115

53.75

0.516129

0.748837

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

15ff4bf701b509ea317a6c1c87735ea9acecf54c

10,311

py

Python

backend/tests/internal/data/conners3_self_scores.py

mkokotovich/cbcl_scoring

86d8f636a980bce45fcf5fc7eccac5dffddfd3b8

[ "MIT" ]

null

backend/tests/internal/data/conners3_self_scores.py

mkokotovich/cbcl_scoring

86d8f636a980bce45fcf5fc7eccac5dffddfd3b8

[ "MIT" ]

17

2019-12-26T16:45:10.000Z

2022-03-21T22:16:37.000Z

backend/tests/internal/data/conners3_self_scores.py

mkokotovich/testscoring

bc176caf37a2980d85a722efa919f416c9758a0e

[ "MIT" ]

null

scores = {"scores": [{"group": "IN", "score": 25.0}, {"group": "HY", "score": 13.0}, {"group": "LP", "score": 8.0}, {"group": "AG", "score": 5.0}, {"group": "FR", "score": 5.0}, {"group": "AN", "score": 26.0}, {"group": "AH", "score": 15.0}, {"group": "CD", "score": 2.0}, {"group": "OD", "score": 10.0}, {"group": "PI", "score": 0.0}, {"group": "NI", "score": 2.0}, {"group": "ADHD Inattentive Symptom Count", "score": "6 (A1a, A1b, A1c, A1g, A1h, A1i)"}, {"group": "ADHD Hyperactive Impulsive Symptom Count", "score": "3 (A2e, A2h, A2i)"}], "test": {"id": 38, "items": [{"id": 2713, "number": "1", "description": "", "score": "1", "group": "OD", "groups": ["OD"]}, {"id": 2714, "number": "2", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2715, "number": "3", "description": "", "score": "1", "group": "OD", "groups": ["OD"]}, {"id": 2716, "number": "4", "description": "", "score": "0", "group": "HY", "groups": ["HY"]}, {"id": 2717, "number": "5", "description": "", "score": "2", "group": "AN", "groups": ["AN"]}, {"id": 2718, "number": "6", "description": "", "score": "2", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2719, "number": "7", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2720, "number": "8", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2721, "number": "9", "description": "", "score": "0", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2722, "number": "10", "description": "", "score": "0", "group": "NI", "groups": ["NI"]}, {"id": 2723, "number": "11", "description": "", "score": "0", "group": "NI", "groups": ["NI"]}, {"id": 2724, "number": "12", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2725, "number": "13", "description": "", "score": "0", "group": "CD", "groups": ["CD"]}, {"id": 2726, "number": "14", "description": "", "score": "1", "group": "FR", "groups": ["FR"]}, {"id": 2727, "number": "15", "description": "", "score": "1", "group": "LP", "groups": ["LP"]}, {"id": 2728, "number": "16", "description": "", "score": "2", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2729, "number": "17", "description": "", "score": "2", "group": "IN|AN", "groups": ["IN", "AN"]}, {"id": 2730, "number": "18", "description": "", "score": "1", "group": "AG", "groups": ["AG"]}, {"id": 2731, "number": "19", "description": "", "score": "0", "group": "NI", "groups": ["NI"]}, {"id": 2732, "number": "20", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2733, "number": "21", "description": "", "score": "1", "group": "AN", "groups": ["AN"]}, {"id": 2734, "number": "22", "description": "", "score": "0", "group": "AG", "groups": ["AG"]}, {"id": 2735, "number": "23", "description": "", "score": "0", "group": "FR", "groups": ["FR"]}, {"id": 2736, "number": "24", "description": "", "score": "2", "group": "OD", "groups": ["OD"]}, {"id": 2737, "number": "25", "description": "", "score": "0", "group": "CD|AG", "groups": ["CD", "AG"]}, {"id": 2738, "number": "26", "description": "", "score": "1", "group": "FR", "groups": ["FR"]}, {"id": 2739, "number": "27", "description": "", "score": "2", "group": "AH", "groups": ["AH"]}, {"id": 2740, "number": "28", "description": "", "score": "1", "group": "NI", "groups": ["NI"]}, {"id": 2741, "number": "29", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2742, "number": "30", "description": "", "score": "1", "group": "IN", "groups": ["IN"]}, {"id": 2743, "number": "31", "description": "", "score": "3", "group": "IN|AN", "groups": ["IN", "AN"]}, {"id": 2744, "number": "32", "description": "", "score": "3", "group": "AN", "groups": ["AN"]}, {"id": 2745, "number": "33", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2746, "number": "34", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2747, "number": "35", "description": "", "score": "0", "group": "LP", "groups": ["LP"]}, {"id": 2748, "number": "36", "description": "", "score": "2", "group": "none", "groups": ["none"]}, {"id": 2749, "number": "37", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2750, "number": "38", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2751, "number": "39", "description": "", "score": "3", "group": "AN", "groups": ["AN"]}, {"id": 2752, "number": "40", "description": "", "score": "1", "group": "NI", "groups": ["NI"]}, {"id": 2753, "number": "41", "description": "", "score": "0", "group": "NI", "groups": ["NI"]}, {"id": 2754, "number": "42", "description": "", "score": "3", "group": "AN", "groups": ["AN"]}, {"id": 2755, "number": "43", "description": "", "score": "3", "group": "IN", "groups": ["IN"]}, {"id": 2756, "number": "44", "description": "", "score": "1", "group": "none", "groups": ["none"]}, {"id": 2757, "number": "45", "description": "", "score": "1", "group": "LP", "groups": ["LP"]}, {"id": 2758, "number": "46", "description": "", "score": "2", "group": "none", "groups": ["none"]}, {"id": 2759, "number": "47", "description": "", "score": "0", "group": "CD", "groups": ["CD"]}, {"id": 2760, "number": "48", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2761, "number": "49", "description": "", "score": "2", "group": "IN", "groups": ["IN"]}, {"id": 2762, "number": "50", "description": "", "score": "1", "group": "HY", "groups": ["HY"]}, {"id": 2763, "number": "51", "description": "", "score": "2", "group": "AN", "groups": ["AN"]}, {"id": 2764, "number": "52", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2765, "number": "53", "description": "", "score": "0", "group": "IN", "groups": ["IN"]}, {"id": 2766, "number": "54", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2767, "number": "55", "description": "", "score": "3", "group": "AH", "groups": ["AH"]}, {"id": 2768, "number": "56", "description": "", "score": "0", "group": "LP", "groups": ["LP"]}, {"id": 2769, "number": "57", "description": "", "score": "1", "group": "HY", "groups": ["HY"]}, {"id": 2770, "number": "58", "description": "", "score": "2", "group": "LP", "groups": ["LP"]}, {"id": 2771, "number": "59", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2772, "number": "60", "description": "", "score": "2", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2773, "number": "61", "description": "", "score": "1", "group": "AN", "groups": ["AN"]}, {"id": 2774, "number": "62", "description": "", "score": "1", "group": "AG|OD", "groups": ["AG", "OD"]}, {"id": 2775, "number": "63", "description": "", "score": "3", "group": "IN|AN", "groups": ["IN", "AN"]}, {"id": 2776, "number": "64", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2777, "number": "65", "description": "", "score": "2", "group": "LP", "groups": ["LP"]}, {"id": 2778, "number": "66", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2779, "number": "67", "description": "", "score": "2", "group": "OD", "groups": ["OD"]}, {"id": 2780, "number": "68", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2781, "number": "69", "description": "", "score": "1", "group": "FR", "groups": ["FR"]}, {"id": 2782, "number": "70", "description": "", "score": "0", "group": "LP", "groups": ["LP"]}, {"id": 2783, "number": "71", "description": "", "score": "2", "group": "IN", "groups": ["IN"]}, {"id": 2784, "number": "72", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2785, "number": "73", "description": "", "score": "0", "group": "FR", "groups": ["FR"]}, {"id": 2786, "number": "74", "description": "", "score": "1", "group": "OD", "groups": ["OD"]}, {"id": 2787, "number": "75", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2788, "number": "76", "description": "", "score": "2", "group": "LP", "groups": ["LP"]}, {"id": 2789, "number": "77", "description": "", "score": "3", "group": "IN|AN", "groups": ["IN", "AN"]}, {"id": 2790, "number": "78", "description": "", "score": "0", "group": "CD", "groups": ["CD"]}, {"id": 2791, "number": "79", "description": "", "score": "3", "group": "IN", "groups": ["IN"]}, {"id": 2792, "number": "80", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2793, "number": "81", "description": "", "score": "3", "group": "IN", "groups": ["IN"]}, {"id": 2794, "number": "82", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2795, "number": "83", "description": "", "score": "1", "group": "FR", "groups": ["FR"]}, {"id": 2796, "number": "84", "description": "", "score": "1", "group": "HY|AH", "groups": ["HY", "AH"]}, {"id": 2797, "number": "85", "description": "", "score": "1", "group": "FR", "groups": ["FR"]}, {"id": 2798, "number": "86", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2799, "number": "87", "description": "", "score": "1", "group": "OD", "groups": ["OD"]}, {"id": 2800, "number": "88", "description": "", "score": "1", "group": "HY", "groups": ["HY"]}, {"id": 2801, "number": "89", "description": "", "score": "0", "group": "FR", "groups": ["FR"]}, {"id": 2802, "number": "90", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2803, "number": "91", "description": "", "score": "0", "group": "AG|CD", "groups": ["AG", "CD"]}, {"id": 2804, "number": "92", "description": "", "score": "0", "group": "HY", "groups": ["HY"]}, {"id": 2805, "number": "93", "description": "", "score": "0", "group": "PI", "groups": ["PI"]}, {"id": 2806, "number": "94", "description": "", "score": "1", "group": "AG|OD", "groups": ["AG", "OD"]}, {"id": 2807, "number": "95", "description": "", "score": "2", "group": "none", "groups": ["none"]}, {"id": 2808, "number": "96", "description": "", "score": "3", "group": "none", "groups": ["none"]}, {"id": 2809, "number": "97", "description": "", "score": "2", "group": "none", "groups": ["none"]}], "created_at": "2018-10-03T03:46:56.800074Z", "updated_at": "2018-10-03T03:46:56.800125Z", "client_number": "1917", "test_type": "conners3_self", "owner": 3}}

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c60e595ab7176fb758fea0c1ce9333da5fd788f2

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py

Python

appengine-vmruntime/vmruntime/chainmap/__init__.py

speedplane/python-compat-runtime

743ade7e1350c790c4aaa48dd2c0893d06d80cee

[ "Apache-2.0" ]

16

2016-04-23T20:16:12.000Z

2021-10-09T16:58:25.000Z

appengine-vmruntime/vmruntime/chainmap/__init__.py

speedplane/python-compat-runtime

743ade7e1350c790c4aaa48dd2c0893d06d80cee

[ "Apache-2.0" ]

53

2016-04-06T21:10:43.000Z

2018-03-19T23:14:33.000Z

appengine-vmruntime/vmruntime/chainmap/__init__.py

speedplane/python-compat-runtime

743ade7e1350c790c4aaa48dd2c0893d06d80cee

[ "Apache-2.0" ]

23

2016-04-19T05:45:26.000Z

2021-12-31T23:22:36.000Z

from .chainmap import * from .version import __version__

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5

c63dbc2863237eaf1838015c774cffbd3d356780

61

py

Python

flai/utils/__init__.py

deepair-io/flai

edbf74285e24f8605a625edf3a1c73ebae79a6de

[ "Apache-2.0" ]

6

2021-09-20T14:41:31.000Z

2021-12-05T03:56:09.000Z

flai/utils/__init__.py

deepair-io/flai

edbf74285e24f8605a625edf3a1c73ebae79a6de

[ "Apache-2.0" ]

null

flai/utils/__init__.py

deepair-io/flai

edbf74285e24f8605a625edf3a1c73ebae79a6de

[ "Apache-2.0" ]

1

2022-02-15T13:27:31.000Z

from .colorize import colorize from .seeding import np_random

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c6418ff0932b01b0f7a715f25ef41a4bc3dab8f4

71

py

Python

languages/python/oso/polar/__main__.py

connec/oso

a12d94206807b69beb6fe7a9070b9afcacdfc845

[ "Apache-2.0" ]

2,167

2020-07-28T15:49:48.000Z

2022-03-31T06:11:28.000Z

languages/python/oso/polar/__main__.py

connec/oso

a12d94206807b69beb6fe7a9070b9afcacdfc845

[ "Apache-2.0" ]

1,060

2020-07-25T18:37:07.000Z

2022-03-30T05:49:44.000Z

languages/python/oso/polar/__main__.py

connec/oso

a12d94206807b69beb6fe7a9070b9afcacdfc845

[ "Apache-2.0" ]

118

2020-08-05T19:27:14.000Z

2022-03-31T16:37:39.000Z

import sys from .polar import Polar Polar().repl(files=sys.argv[1:])

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0.126761

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null

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0

1

0

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5

c649dd97f8ddcd91c5e233d4ab917c19e52ffdfa

730

py

Python

backend/api/permissions.py

internetfett/grocery-list

3a5cc97bba0d85469d7352447158d84748041015

[ "MIT" ]

null

backend/api/permissions.py

internetfett/grocery-list

3a5cc97bba0d85469d7352447158d84748041015

[ "MIT" ]

null

backend/api/permissions.py

internetfett/grocery-list

3a5cc97bba0d85469d7352447158d84748041015

[ "MIT" ]

null

from rest_framework import permissions class IsOwnerOrListing(permissions.BasePermission): """ Custom permission to only allow owners of an object to edit it. """ def has_permission(self, request, view): return True def has_object_permission(self, request, view, obj): return obj.user == request.user class IsRelatedOwnerOrListing(permissions.BasePermission): """ Custom permission to only allow owners of an object (via fkey) to edit it. """ def has_permission(self, request, view): return True def has_object_permission(self, request, view, obj): related_obj = getattr(obj, view.owner_related_field) return related_obj.user == request.user

27.037037

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c65151ed2dbb1de0daaa7cee08a6911d56bf0898

13,429

py

Python

server/src/dixit/game/test/round.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

75

2016-08-05T10:37:32.000Z

2022-01-27T17:05:50.000Z

server/src/dixit/game/test/round.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

15

2020-03-19T16:27:59.000Z

2022-02-13T08:41:54.000Z

server/src/dixit/game/test/round.py

rcjsuen/dixit-online

e7a1c9b5b1a2a92160c6d90397adaa81ddcae91a

[ "MIT" ]

27

2018-02-27T13:32:46.000Z

2021-12-26T06:42:08.000Z

from django.test import TestCase from django.contrib.auth.models import User from dixit import settings from dixit.game.models.game import Game from dixit.game.models.player import Player from dixit.game.models.round import Round, RoundStatus, Play from dixit.game.models.card import Card from dixit.game.exceptions import GameInvalidPlay, GameRoundIncomplete, GameDeckExhausted class PlayTest(TestCase): fixtures = ['game_testcards.json', ] def setUp(self): self.user = User.objects.create(username='test', email='test@localhost', password='test') self.user2 = User.objects.create(username='test2', email='test2@localhost', password='test') self.user3 = User.objects.create(username='test3', email='test3@localhost', password='test') self.game = Game.new_game(name='test', user=self.user, player_name='storyteller') self.current = self.game.current_round self.player2 = self.game.add_player(self.user2, 'player2') self.player3 = self.game.add_player(self.user3, 'player3') def test_play_can_be_performed_for_round(self): story_card = self.game.storyteller._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') self.assertEqual(self.current.plays.count(), 1) def test_storyteller_can_provide_card(self): story_play = Play(game_round=self.current, player=self.game.storyteller) story_play.provide_card(self.game.storyteller._pick_card(), 'story') self.assertEqual(self.current.plays.count(), 1) def test_players_cant_provide_card_before_storyteller(self): with self.assertRaises(GameInvalidPlay): Play.play_for_round(self.current, self.player2, self.player2._pick_card()) def test_players_can_provide_card_after_storyteller(self): Play.play_for_round(self.current, self.game.storyteller, self.game.storyteller._pick_card(), 'story') Play.play_for_round(self.current, self.player2, self.player2._pick_card()) self.assertEqual(self.current.plays.count(), 2) def test_players_can_not_provide_card_after_voting(self): # TODO pass def test_players_can_choose_played_card(self): story_card = self.game.storyteller._pick_card() story_play = Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') play2 = Play.play_for_round(self.current, self.player2, self.player2._pick_card()) play3 = Play.play_for_round(self.current, self.player3, self.player3._pick_card()) self.assertEqual(self.current.status, RoundStatus.VOTING) play2.vote_card(story_card) def test_players_can_not_choose_unplayed_card(self): story_card = self.game.storyteller._pick_card() story_play = Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) with self.assertRaises(GameInvalidPlay): other_card = Card.objects.available_for_game(self.game)[0] play2.vote_card(other_card) def test_players_can_not_choose_own_card(self): story_card = self.game.storyteller._pick_card() story_play = Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) with self.assertRaises(GameInvalidPlay): play2.vote_card(card2) def test_storytellers_cant_vote_card(self): story_card = self.game.storyteller._pick_card() story_play = Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) with self.assertRaises(GameInvalidPlay): story_play.vote_card(card2) class RoundTest(TestCase): fixtures = ['game_testcards.json', ] def setUp(self): self.user = User.objects.create(username='test', email='test@localhost', password='test') self.user2 = User.objects.create(username='test2', email='test2@localhost', password='test') self.user3 = User.objects.create(username='test3', email='test3@localhost', password='test') self.user4 = User.objects.create(username='test4', email='test4@localhost', password='test') self.game = Game.new_game(name='test', user=self.user, player_name='storyteller') self.current = self.game.current_round self.player2 = self.game.add_player(self.user2, 'player2') self.player3 = self.game.add_player(self.user3, 'player3') def test_round_starts_new(self): self.assertEqual(self.current.status, RoundStatus.NEW) def test_round_is_new_when_only_storyteller_has_played(self): story_card = self.game.storyteller._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') self.assertEqual(self.current.status, RoundStatus.NEW) def test_round_is_providing_until_all_players_have_provided(self): story_card = self.game.storyteller._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') players = self.game.players.exclude(id=self.game.storyteller.id) for player in players[1:]: Play.play_for_round(self.current, player, player._pick_card()) self.assertEqual(self.current.status, RoundStatus.PROVIDING) def test_round_is_voting_when_all_players_have_provided_a_card(self): Play.play_for_round(self.current, self.game.storyteller, self.game.storyteller._pick_card(), 'story') players = self.game.players.all().exclude(id=self.game.storyteller.id) for player in players: Play.play_for_round(self.current, player, player._pick_card()) self.assertEqual(self.current.status, RoundStatus.VOTING) def test_round_is_voting_until_all_players_have_voted(self): story_card = self.current.turn._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') players = self.game.players.all().exclude(id=self.game.storyteller.id) for player in players: Play.play_for_round(self.current, player, player._pick_card()) plays = self.current.plays.all().exclude(player=self.game.storyteller) for play in plays[1:]: play.vote_card(story_card) self.assertEqual(self.current.status, RoundStatus.VOTING) def test_round_is_complete_when_all_players_have_voted(self): story_card = self.current.turn._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') players = self.game.players.all().exclude(id=self.game.storyteller.id) for player in players: Play.play_for_round(self.current, player, player._pick_card()) plays = self.current.plays.all().exclude(player=self.game.storyteller) for play in plays: play.vote_card(story_card) self.assertEqual(self.current.status, RoundStatus.COMPLETE) def test_round_deals_hands_once_to_players(self): game_round = Round(game=self.game, number=self.current.number + 1, turn=self.current.turn) game_round.deal() game_round.deal() game_round.deal() hand_sizes = (p.cards.count() for p in self.game.players.all()) self.assertTrue(all(s == settings.GAME_HAND_SIZE for s in hand_sizes)) def test_round_deals_system_card(self): game_round = Round(game=self.game, number=self.current.number + 1, turn=self.current.turn) game_round.deal() self.assertTrue(game_round.card is not None) def test_round_deals_system_card_once(self): game_round = Round(game=self.game, number=self.current.number + 1, turn=self.current.turn) game_round.deal() system_card = game_round.card game_round.deal() self.assertEqual(system_card, game_round.card) def test_deal_fails_when_not_enough_cards_available(self): max_players = Card.objects.count() // (settings.GAME_HAND_SIZE + 1) for i in range(max_players + 1): test_username = 'test_n_{}'.format(i) test_email = '{}@localhost'.format(test_username) user = User.objects.create(username=test_username, email=test_email, password='test') Player.objects.create(game=self.game, user=user, name='player_{}'.format(i)) new_round = Round(game=self.game, number=self.current.number + 1, turn=self.current.turn) with self.assertRaises(GameDeckExhausted): new_round.deal() def test_new_round_can_not_be_closed(self): self.assertEqual(self.current.status, RoundStatus.NEW) self.assertRaises(GameRoundIncomplete, self.current.close) def test_providing_round_can_not_be_closed(self): story_card = self.current.turn._pick_card() story_play = Play.play_for_round(self.current, self.current.turn, story_card, 'test') Play.play_for_round(self.current, self.player2, self.player2._pick_card()) self.assertEqual(self.current.status, RoundStatus.PROVIDING) self.assertRaises(GameRoundIncomplete, self.current.close) def test_voting_round_can_not_be_closed(self): story_card = self.current.turn._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') players = self.game.players.all().exclude(id=self.game.storyteller.id) for player in players: Play.play_for_round(self.current, player, player._pick_card()) plays = self.current.plays.all().exclude(player=self.game.storyteller) for play in plays[1:]: play.vote_card(story_card) self.assertEqual(self.current.status, RoundStatus.VOTING) self.assertRaises(GameRoundIncomplete, self.current.close) def test_complete_round_can_be_closed(self): story_card = self.current.turn._pick_card() Play.play_for_round(self.current, self.game.storyteller, story_card, 'story') players = self.game.players.all().exclude(id=self.game.storyteller.id) for player in players: Play.play_for_round(self.current, player, player._pick_card()) plays = self.current.plays.all().exclude(player=self.game.storyteller) for play in plays: play.vote_card(story_card) self.assertEqual(self.current.status, RoundStatus.COMPLETE) self.current.close() def test_storyteller_scores_when_player_guessed(self): story_card = self.current.turn._pick_card() story_play = Play.play_for_round(self.current, self.current.turn, story_card, 'test') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) card3 = self.player3._pick_card() play3 = Play.play_for_round(self.current, self.player3, card3) play2.vote_card(story_card) play3.vote_card(card2) self.current.close() self.current.turn.refresh_from_db() self.assertEqual(self.current.turn.score, settings.GAME_STORY_SCORE) def test_storyteller_doesnt_score_when_all_players_guess(self): story_card = self.current.turn._pick_card() story_play = Play.play_for_round(self.current, self.current.turn, story_card, 'test') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) card3 = self.player3._pick_card() play3 = Play.play_for_round(self.current, self.player3, card3) play2.vote_card(story_card) play3.vote_card(story_card) self.current.close() self.current.turn.refresh_from_db() self.assertEqual(self.current.turn.score, 0) def test_players_score_when_their_card_is_chosen(self): story_card = self.current.turn._pick_card() story_play = Play.play_for_round(self.current, self.current.turn, story_card, 'test') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) card3 = self.player3._pick_card() play3 = Play.play_for_round(self.current, self.player3, card3) play2.vote_card(card3) play3.vote_card(card2) self.current.close() self.player2.refresh_from_db() self.assertEqual(self.player2.score, settings.GAME_CONFUSED_GUESS_SCORE) def test_players_score_max_bound(self): player4 = self.game.add_player(self.user4, 'player4') story_card = self.current.turn._pick_card() story_play = Play.play_for_round(self.current, self.current.turn, story_card, 'test') card2 = self.player2._pick_card() play2 = Play.play_for_round(self.current, self.player2, card2) card3 = self.player3._pick_card() play3 = Play.play_for_round(self.current, self.player3, card3) card4 = player4._pick_card() play4 = Play.play_for_round(self.current, player4, card4) play2.vote_card(story_card) play3.vote_card(card2) play4.vote_card(card2) self.current.close() self.player2.refresh_from_db() self.assertEqual(self.player2.score, settings.GAME_MAX_ROUND_SCORE)

43.742671

109

0.704371

1,785

13,429

5.038095

0.078431

0.117425

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0.072946

0.799288

0.779273

0.76048

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0.724897

0.709107

0

0.012661

0.182441

13,429

306

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0.000298

0

0.669643

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0.003268

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0.129464

false

0.040179

0.035714

0

0.183036

0

null

0

1

0

null

0

5

d6708bec6b811f0ea22ff4233419d98f21a4385c

201

py

Python

gab_toolbox/__init__.py

gbene/gab_toolbox

314d6e8f5abdaca8ae35ae68c614c96e7b77d49f

[ "MIT" ]

null

gab_toolbox/__init__.py

gbene/gab_toolbox

314d6e8f5abdaca8ae35ae68c614c96e7b77d49f

[ "MIT" ]

null

gab_toolbox/__init__.py

gbene/gab_toolbox

314d6e8f5abdaca8ae35ae68c614c96e7b77d49f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Apr 3 22:51:58 2020 @author: gabri """ from gab_toolbox import format_tools from gab_toolbox import tex_tools from gab_toolbox import mail_tools

18.272727

37

0.701493

32

201

4.21875

0.6875

0.155556

0.311111

0.444444

0.37037

0

0.075

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201

10

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0

1

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true

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null

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1

0

1

0

5

d6a3a7ba17ad8f620ca73f18a36d632e39fd4e7a

128

py

Python

senkuu/strategies/__init__.py

techrc/senkuu

d5651d1891ab55a46c813dd5b09341cb2068b239

[ "Apache-2.0" ]

1

2020-05-03T09:53:52.000Z

senkuu/strategies/__init__.py

techrc/senkuu

d5651d1891ab55a46c813dd5b09341cb2068b239

[ "Apache-2.0" ]

null

senkuu/strategies/__init__.py

techrc/senkuu

d5651d1891ab55a46c813dd5b09341cb2068b239

[ "Apache-2.0" ]

null

from .activations import Activations from .losses import Losses from .metrics import Metrics from .optimizers import Optimizers

25.6

36

0.84375

16

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6.75

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1

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0

5

d6d71b6e94ff51b0143af188258454a2b5fe0d6e

84

py

Python

checkpoints/check01a.py

Zuzuni7/CS241

d631483ce3fe9e6cd996f13ee33642a998226050

[ "MIT" ]

1

2021-10-13T01:50:27.000Z

checkpoints/check01a.py

Zuzuni7/CS241

d631483ce3fe9e6cd996f13ee33642a998226050

[ "MIT" ]

null

checkpoints/check01a.py

Zuzuni7/CS241

d631483ce3fe9e6cd996f13ee33642a998226050

[ "MIT" ]

3

2020-05-13T04:28:49.000Z

2021-05-14T23:13:30.000Z

""" CS241 Checkpoint 01A Written by Chad Macbeth """ print("Hello Python World!")

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null

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1

0

1

0

5

d6ef986da5191c91f5d7472ac04ca6b5e398976c

200

py

Python

tagging_autocomplete/urls.py

Iv/django-tagging-autocomplete

ba645a6e5a85fe1adf6400eed24069f2b5ad4ebf

[ "MIT" ]

null

tagging_autocomplete/urls.py

Iv/django-tagging-autocomplete

ba645a6e5a85fe1adf6400eed24069f2b5ad4ebf

[ "MIT" ]

null

tagging_autocomplete/urls.py

Iv/django-tagging-autocomplete

ba645a6e5a85fe1adf6400eed24069f2b5ad4ebf

[ "MIT" ]

null

from django.conf.urls import * from tagging_autocomplete.views import list_tags urlpatterns = [ # 'tagging_autocomplete.views', url(r'^list$', list_tags, name='tagging_autocomplete-list'), ]

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null

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d6f627f1413ae2eb4487b1b587ba362009663083

175

py

Python

core/adapter.py

bhhaskin/bryans.website

d8ce350745f6f2fa1f630f0abb712f7846a5986e

[ "MIT" ]

null

core/adapter.py

bhhaskin/bryans.website

d8ce350745f6f2fa1f630f0abb712f7846a5986e

[ "MIT" ]

null

core/adapter.py

bhhaskin/bryans.website

d8ce350745f6f2fa1f630f0abb712f7846a5986e

[ "MIT" ]

null

from allauth.account.adapter import DefaultAccountAdapter class ClosedAccountAdapter(DefaultAccountAdapter): def is_open_for_signup(self, request): return False

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5

ba833481fafacbb098e0b6a27d3bd42ad34dd56b

94

py

Python

sanic_openapi/__init__.py

AHBaber/sanic-openapi

3cdf8801836a3b31f19d8f9d19b7d27737a4257f

[ "MIT" ]

null

sanic_openapi/__init__.py

AHBaber/sanic-openapi

3cdf8801836a3b31f19d8f9d19b7d27737a4257f

[ "MIT" ]

null

sanic_openapi/__init__.py

AHBaber/sanic-openapi

3cdf8801836a3b31f19d8f9d19b7d27737a4257f

[ "MIT" ]

1

2019-09-02T03:56:47.000Z

from .swagger import swagger_blueprint __version__ = "0.6.0" __all__ = ["swagger_blueprint"]

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null

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1

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5

baaec4c92f736de5a89182feec0719efdc6229aa

65

py

Python

screens/__init__.py

AeonFlor/HYU_CSE2024

ec499fccbb93cb1497baae56e77c40d27c7d0041

[ "MIT" ]

null

screens/__init__.py

AeonFlor/HYU_CSE2024

ec499fccbb93cb1497baae56e77c40d27c7d0041

[ "MIT" ]

8

2021-09-17T06:41:07.000Z

2021-12-07T08:14:54.000Z

screens/__init__.py

AeonFlor/HYU_CSE2024

ec499fccbb93cb1497baae56e77c40d27c7d0041

[ "MIT" ]

6

2021-09-17T08:10:59.000Z

2021-12-08T14:58:01.000Z

from .contexts import * from .base import Screen, TextBaseScreen

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41

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null

0

1

0

1

0

1

0

5

bac975aad0a38d8a2f25d8880620a171deb9fb36

192

py

Python

satchmo/apps/product/modules/downloadable/admin.py

predatell/satchmo

6ced1f845aadec240c7e433c3cbf4caca96e0d92

[ "BSD-3-Clause" ]

16

2015-03-06T14:42:27.000Z

2019-12-23T21:37:01.000Z

satchmo/apps/product/modules/downloadable/admin.py

predatell/satchmo

6ced1f845aadec240c7e433c3cbf4caca96e0d92

[ "BSD-3-Clause" ]

null

satchmo/apps/product/modules/downloadable/admin.py

predatell/satchmo

6ced1f845aadec240c7e433c3cbf4caca96e0d92

[ "BSD-3-Clause" ]

8

2015-01-28T16:02:37.000Z

2022-03-03T21:29:40.000Z

from django.contrib import admin from product.modules.downloadable.models import DownloadableProduct, DownloadLink admin.site.register(DownloadableProduct) admin.site.register(DownloadLink)

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null

0

1

0

1

0

5

bae94588e34807c0728df6fc9641581a2c4ca95a

48

py

Python

setting.py

stereoboy/generative_adversarial

2a578848a0c70b8c0244870ca8dca99b53edcb6b

[ "MIT" ]

null

setting.py

stereoboy/generative_adversarial

2a578848a0c70b8c0244870ca8dca99b53edcb6b

[ "MIT" ]

null

setting.py

stereoboy/generative_adversarial

2a578848a0c70b8c0244870ca8dca99b53edcb6b

[ "MIT" ]

null

img_size=64 validation_ratio=0.1 test_ratio=0.1

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1

0

1

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null

0

5

2411491a856b20bb1776eeef58d092593be4c5b9

15,236

py

Python

test/aglabtest.py

fullkawa/aglab

c8d08791a515c7c1b2a99c0ce54db882222c240f

[ "MIT" ]

3

2015-05-05T13:40:26.000Z

2015-11-27T17:42:23.000Z

test/aglabtest.py

fullkawa/aglab

c8d08791a515c7c1b2a99c0ce54db882222c240f

[ "MIT" ]

9

2015-01-01T09:06:26.000Z

2015-01-18T14:21:44.000Z

test/aglabtest.py

fullkawa/aglab

c8d08791a515c7c1b2a99c0ce54db882222c240f

[ "MIT" ]

null

# -*- coding: utf-8 -*- import unittest import math import sys import aglab from definition import test class StateTestCase(unittest.TestCase): def setUp(self): unittest.TestCase.setUp(self) self.state = aglab.State(test) #print def test__init(self): state = self.state self.assertEqual(len(state.fields), 16) self.assertEqual(len(state.components), 4) self.assertEqual(len(state.data.loc[:, 'value']), 66) self.assertEqual(state.get_value(key='$cxt-1'), 1) self.assertEqual(state.get_value(scope='public', column='unknown')[0], aglab.State.VALUE_KNOWN) self.assertEqual(state.get_value(scope='hidden', column='unknown')[0], aglab.State.VALUE_UNKNOWN) self.assertEqual(state.get_value(fkey='player-1_hand', column='unknown')[0], aglab.State.VALUE_UNKNOWN) # 初期化時点ではプレイヤーが決定して self.assertEqual(state.get_value(fkey='player-2_hand', column='unknown')[0], aglab.State.VALUE_UNKNOWN) # いないので、これでいい #print state.data #DEBUG #print """ unknown value ckey cindex propname fkey findex scope $cxt-1 NaN public 0 1.0 $player-name NaN public 0 NaN C1 0 _placed F1 0.0 hidden 1 NaN 1.0 hidden 1 NaN 2.0 hidden 1 NaN 3.0 hidden 1 NaN F2 0.0 public 0 NaN 1.0 public 0 NaN 2.0 public 0 NaN 3.0 public 0 NaN player-1_hand 0.0 private 1 NaN 1.0 private 1 NaN player-1_played 0.0 public 0 NaN 1.0 public 0 NaN player-2_hand 0.0 private 1 NaN 1.0 private 1 NaN player-2_played 0.0 public 0 NaN 1.0 public 0 NaN C2 0 _placed F1 0.0 hidden 1 NaN 1.0 hidden 1 NaN 2.0 hidden 1 NaN 3.0 hidden 1 NaN F2 0.0 public 0 NaN 1.0 public 0 NaN 2.0 public 0 NaN 3.0 public 0 NaN player-1_hand 0.0 private 1 NaN 1.0 private 1 NaN player-1_played 0.0 public 0 NaN 1.0 public 0 NaN ... ... ... 1 _placed F1 2.0 hidden 1 NaN 3.0 hidden 1 NaN F2 0.0 public 0 NaN 1.0 public 0 NaN 2.0 public 0 NaN 3.0 public 0 NaN player-1_hand 0.0 private 1 NaN 1.0 private 1 NaN player-1_played 0.0 public 0 NaN 1.0 public 0 NaN player-2_hand 0.0 private 1 NaN 1.0 private 1 NaN player-2_played 0.0 public 0 NaN 1.0 public 0 NaN 2 _placed F1 0.0 hidden 1 NaN 1.0 hidden 1 NaN 2.0 hidden 1 NaN 3.0 hidden 1 NaN F2 0.0 public 0 NaN 1.0 public 0 NaN 2.0 public 0 NaN 3.0 public 0 NaN player-1_hand 0.0 private 1 NaN 1.0 private 1 NaN player-1_played 0.0 public 0 NaN 1.0 public 0 NaN player-2_hand 0.0 private 1 NaN 1.0 private 1 NaN player-2_played 0.0 public 0 NaN 1.0 public 0 NaN """ def test_set_player(self): state = self.state p1_hand = state.get_value(propname='_placed', fkey='player-1_hand', scope='private', column='unknown') p2_hand = state.get_value(propname='_placed', fkey='player-2_hand', scope='private', column='unknown') player = state.get_value(key='$player') assert p1_hand[0] == aglab.State.VALUE_UNKNOWN assert p2_hand[0] == aglab.State.VALUE_UNKNOWN assert math.isnan(player) state.set_player(1) p1_hand = state.get_value(propname='_placed', fkey='player-1_hand', scope='private', column='unknown') p2_hand = state.get_value(propname='_placed', fkey='player-2_hand', scope='private', column='unknown') player = state.get_value(key='$player') self.assertEqual(p1_hand[0], aglab.State.VALUE_KNOWN) #自分の手札は'known'となる self.assertEqual(p2_hand[0], aglab.State.VALUE_UNKNOWN) self.assertEqual(player, 1) def test_last_1(self): """last():コンポーネントがセットされていない場合 """ index = self.state.last('P1.p') self.assertEqual(index, -1) def test_last_2(self): """last():コンポーネントがセットされている場合 """ state = self.state state.set_component('C1', ('F1', 0)) self.assertEqual(state.last('F1'), 0) state.set_component(('C2', 1), ('F1', 1)) self.assertEqual(state.last('F1'), 1) def test_set_component_1(self): """set_component():テストケース1 """ state = self.state """どこにも配置されていない状態 """ state.set_component('C1', ('F1', 0)) """ -> hiddenフィールドへ配置 """ self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component='C1', field=('F1', 0), column='unknown')) self.assertEqual(state.VALUE_EXISTENT, state.get_value(component='C1', field=('F1', 0))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component='C1', field=('F1', 1), column='unknown')) self.assertEqual(True, math.isnan(state.get_value(component='C1', field=('F1', 1)))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('F1', 0), column='unknown')) self.assertEqual(state.VALUE_NON_EXISTENT, state.get_value(component=('C2', 0), field=('F1', 0))) state.set_component(('C2', 0), ('F1', 1)) """ -> さらにもう1枚配置 """ self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('F1', 1), column='unknown')) self.assertEqual(state.VALUE_EXISTENT, state.get_value(component=('C2', 0), field=('F1', 1))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('F1', 2), column='unknown')) self.assertEqual(True, math.isnan(state.get_value(component=('C2', 0), field=('F1', 2)))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('F1', 0), column='unknown')) self.assertEqual(state.VALUE_NON_EXISTENT, state.get_value(component=('C2', 0), field=('F1', 0))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component='C1', field=('F1', 1), column='unknown')) self.assertEqual(state.VALUE_NON_EXISTENT, state.get_value(component='C1', field=('F1', 1))) def _set_F1_all(self, state): state.set_component('C1', ('F1', 0)) state.set_component(('C2', 0), ('F1', 1)) state.set_component(('C2', 1), ('F1', 2)) state.set_component(('C2', 2), ('F1', 3)) def test_move_component_1(self): """set_component():テストケース1 """ state = self.state self._set_F1_all(state) """すべてF1にセットされた状態 """ state.move_component(('F1', 0), ('player-1_hand', 0)) #print state.data #DEBUG """ -> hiddenフィールドへ移動 """ self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component='C1', field=('player-1_hand', 0), column='unknown')) self.assertEqual(state.VALUE_EXISTENT, state.get_value(component='C1', field=('player-1_hand', 0))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('player-1_hand', 0), column='unknown')) self.assertEqual(state.VALUE_NON_EXISTENT, state.get_value(component=('C2', 0), field=('player-1_hand', 0))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component='C1', field=('F1', 0), column='unknown')) self.assertEqual(True, math.isnan(state.get_value(component='C1', field=('F1', 0)))) self.assertEqual(state.VALUE_UNKNOWN, state.get_value(component=('C2', 0), field=('F1', 0), column='unknown')) self.assertEqual(True, math.isnan(state.get_value(component=('C2', 0), field=('F1', 0)))) def test_index_component(self): state = self.state state.set_component('C1', ('P1.h', 1)) index = state.index_component('C1', 'P1.h') self.assertEqual(index, 1) def test_output_component_case1(self): """Case1: プレイヤー指定なし(DEBUG); 非公開状態 """ state = self.state output = state.output_component(field=('F1', 0)) self.assertEqual(' ', output) state.set_component('C1', ('F1', 1)) output = state.output_component(field=('F1', 1)) self.assertEqual('-1', output) state.set_component(('C2', 1), ('F1', 2)) output = state.output_component(field=('F1', 2)) self.assertEqual('-2', output) def test_output_component_case2(self): """Case1: プレイヤー指定なし(DEBUG); 公開状態 """ state = self.state output = state.output_component(field=('F2', 0)) self.assertEqual(' ', output) state.set_component('C1', ('F2', 1)) output = state.output_component(field=('F2', 1)) self.assertEqual(' 1', output) state.set_component(('C2', 1), ('F2', 2)) output = state.output_component(field=('F2', 2)) self.assertEqual(' 2', output) def test_output_components_case1(self): """Case1: プレイヤー指定なし(DEBUG); 非公開状態 """ state = self.state output = state.output_components(fkey='F1') self.assertEqual(4, len(output)) self.assertEqual(' ', output[0]) self.assertEqual(' ', output[3]) state.set_component('C1', ('F1', 1)) state.set_component(('C2', 1), ('F1', 2)) output = state.output_components(fkey='F1') self.assertEqual(4, len(output)) self.assertEqual(' ', output[0]) self.assertEqual('-1', output[1]) self.assertEqual('-2', output[2]) self.assertEqual(' ', output[3]) def test_output_components_case2(self): """Case2: プレイヤー指定なし(DEBUG); 公開状態 """ state = self.state output = state.output_components(fkey='F2') self.assertEqual(4, len(output)) self.assertEqual(' ', output[0]) self.assertEqual(' ', output[3]) state.set_component('C1', ('F2', 1)) state.set_component(('C2', 1), ('F2', 2)) output = state.output_components(fkey='F2') self.assertEqual(4, len(output)) self.assertEqual(' ', output[0]) self.assertEqual(' 1', output[1]) self.assertEqual(' 2', output[2]) self.assertEqual(' ', output[3]) class RewardTestCase(unittest.TestCase): def setUp(self): unittest.TestCase.setUp(self) #print def testAdd_1(self): reward = aglab.Reward() reward.add(1) self.assertEqual(0, reward.rewards[0]) self.assertEqual(1, reward.rewards[1]) def testAdd_2(self): reward = aglab.Reward(player=2, num_players=3) reward.add(1, player=1) reward.add(2, player=2) self.assertEqual(0, reward.rewards[0]) self.assertEqual(1, reward.rewards[1]) self.assertEqual(2, reward.rewards[2]) self.assertEqual(0, reward.rewards[3]) def testCollect_1(self): reward = aglab.Reward() r = reward.collect() self.assertEqual(r, 0) self.assertEqual(0, reward.rewards[0]) self.assertEqual(0, reward.rewards[1]) reward.add(1) r = reward.collect() self.assertEqual(r, 1) self.assertEqual(1, reward.rewards[0]) self.assertEqual(0, reward.rewards[1]) reward.add(2) r = reward.collect() self.assertEqual(r, 2) self.assertEqual(3, reward.rewards[0]) self.assertEqual(0, reward.rewards[1]) def testCollect_2(self): reward = aglab.Reward(player=2, num_players=3) reward.add(1, player=1) reward.add(2, player=2) r = reward.collect() self.assertEqual(r, 1.9) self.assertEqual(1.9, reward.rewards[0]) self.assertEqual(0, reward.rewards[1]) self.assertEqual(0, reward.rewards[2])

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343

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null

0

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5

2439e83f6ad9f86afc5e82b40636a40a65f9f8c3

2,476

py

Python

migrations/versions/f8d0899cdc72_add_column_name_completed_in_table_.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

migrations/versions/f8d0899cdc72_add_column_name_completed_in_table_.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

migrations/versions/f8d0899cdc72_add_column_name_completed_in_table_.py

Brunoro811/api_dangels

21c064eaa4f5009412dddc9676044d6cc08a5b65

[ "MIT" ]

null

"""add column name_completed in table clients Revision ID: f8d0899cdc72 Revises: 3bab60dda78e Create Date: 2022-04-13 14:45:42.623262 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'f8d0899cdc72' down_revision = '3bab60dda78e' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column('clients', sa.Column('name_complete', sa.String(length=70), nullable=False)) op.alter_column('orders_has_products', 'sale_value', existing_type=sa.REAL(), type_=sa.Float(precision=2), existing_nullable=False) op.alter_column('products', 'cost_value', existing_type=sa.REAL(), type_=sa.Float(precision=2), existing_nullable=False) op.alter_column('products', 'sale_value_varejo', existing_type=sa.REAL(), type_=sa.Float(precision=2), existing_nullable=False) op.alter_column('products', 'sale_value_atacado', existing_type=sa.REAL(), type_=sa.Float(precision=2), existing_nullable=False) op.alter_column('products', 'sale_value_promotion', existing_type=sa.REAL(), type_=sa.Float(precision=2), existing_nullable=True) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.alter_column('products', 'sale_value_promotion', existing_type=sa.Float(precision=2), type_=sa.REAL(), existing_nullable=True) op.alter_column('products', 'sale_value_atacado', existing_type=sa.Float(precision=2), type_=sa.REAL(), existing_nullable=False) op.alter_column('products', 'sale_value_varejo', existing_type=sa.Float(precision=2), type_=sa.REAL(), existing_nullable=False) op.alter_column('products', 'cost_value', existing_type=sa.Float(precision=2), type_=sa.REAL(), existing_nullable=False) op.alter_column('orders_has_products', 'sale_value', existing_type=sa.Float(precision=2), type_=sa.REAL(), existing_nullable=False) op.drop_column('clients', 'name_complete') # ### end Alembic commands ###

35.884058

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5.200717

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68

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36.411765

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null

0

5

244af3d93b8f86370c442b954c5fe8c163894fc6

47

py

Python

src/windows/__init__.py

priscilafaliani/Analisis-De-Datos

247695e3e976f042fc453d02bd9d4d722fb331ff

[ "CC0-1.0" ]

6

2021-05-02T08:28:42.000Z

2021-05-07T13:18:32.000Z

src/windows/__init__.py

priscilafaliani/Analisis-De-Datos

247695e3e976f042fc453d02bd9d4d722fb331ff

[ "CC0-1.0" ]

null

src/windows/__init__.py

priscilafaliani/Analisis-De-Datos

247695e3e976f042fc453d02bd9d4d722fb331ff

[ "CC0-1.0" ]

null

"""The keeper of all the windows of the app."""

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5

246118c25308df88d92c1061cdda3967f8e56066

23

py

Python

refcount/__init__.py

jmp75/pyrefcount

89ba62977fe21d755077f43fefb01451fec3733a

[ "Net-SNMP", "Xnet", "MIT" ]

1

2021-01-12T10:35:12.000Z

tests/__init__.py

csiro-hydroinformatics/pyrefcount

daf3a94ba33e181f2311395d345a6aa0ef001f99

[ "Net-SNMP", "Xnet", "MIT" ]

2

2019-01-02T00:53:16.000Z

2019-01-06T22:00:09.000Z

tests/__init__.py

csiro-hydroinformatics/pyrefcount

daf3a94ba33e181f2311395d345a6aa0ef001f99

[ "Net-SNMP", "Xnet", "MIT" ]

null

# required for python2

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0

null

0

1

0

5

030ab957106c3ebddec8cc6efbb56cdc2cded1eb

72

py

Python

rdfextras/utils/__init__.py

trishnaguha/rdfextras

c66b30de4a3b9cb67090add06cb8a9cf05d2c545

[ "BSD-3-Clause" ]

3

2015-05-15T02:18:21.000Z

2019-02-12T03:14:46.000Z

rdfextras/utils/__init__.py

trishnaguha/rdfextras

c66b30de4a3b9cb67090add06cb8a9cf05d2c545

[ "BSD-3-Clause" ]

1

2015-11-05T15:18:36.000Z

2015-11-05T16:44:04.000Z

rdfextras/utils/__init__.py

trishnaguha/rdfextras

c66b30de4a3b9cb67090add06cb8a9cf05d2c545

[ "BSD-3-Clause" ]

4

2015-11-05T07:24:41.000Z

2022-01-18T07:54:43.000Z

import pathutils import cmdlineutils import termutils import graphutils

14.4

19

0.888889

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72

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0.625

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0.111111

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20

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null

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5

033deee14bbb99bbb096478b73697cb2f8158290

88

py

Python

ontology/logistic_regression/sherlock/listify_circuits_k38_reverse.py

ehbeam/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

15

2020-07-17T07:10:26.000Z

2022-02-18T05:51:45.000Z

ontology/neural_network/sherlock/listify_circuits_k38_reverse.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

2

2022-01-14T09:10:12.000Z

2022-01-28T17:32:42.000Z

ontology/neural_network/sherlock/listify_circuits_k38_reverse.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

4

2021-12-22T13:27:32.000Z

2022-02-18T05:51:47.000Z

#!/bin/python import listify_circuits listify_circuits.optimize_circuits(38, 'reverse')

22

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035c0ec03a1c071fe9bb724aff53104dc3cc5437

80

py

Python

ui/Rhino/AGS/dev/__plugin__.py

duchaoyu/compas_ags

c43bc3e02e5dbee9f368b150c0bb85e96f71d240

[ "MIT" ]

1

2021-08-14T11:14:52.000Z

ui/Rhino/AGS/dev/__plugin__.py

duchaoyu/compas_ags

c43bc3e02e5dbee9f368b150c0bb85e96f71d240

[ "MIT" ]

null

ui/Rhino/AGS/dev/__plugin__.py

duchaoyu/compas_ags

c43bc3e02e5dbee9f368b150c0bb85e96f71d240

[ "MIT" ]

null

id = "{6971119f-8b5a-4cd2-aad8-edad37a243c9}" version = "0.1.0.0" title = "AGS"

20

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1

0

1

null

0

5

3005f77f91affd3e6845ffc60a739e9df1c0bd5f

44

py

Python

lib/errors.py

opensafely/nhs-covid-vaccination-coverage

61cfafdb9d023546af01ff91c0457f80a787ce7c

[ "MIT" ]

12

2021-01-27T11:49:01.000Z

2022-02-17T10:19:26.000Z

lib/errors.py

opensafely/nhs-covid-vaccination-coverage

61cfafdb9d023546af01ff91c0457f80a787ce7c

[ "MIT" ]

8

2021-02-02T16:00:55.000Z

2022-02-15T14:44:26.000Z

lib/errors.py

opensafely/nhs-covid-vaccination-coverage

61cfafdb9d023546af01ff91c0457f80a787ce7c

[ "MIT" ]

6

2021-02-16T00:58:14.000Z

2022-02-17T10:06:57.000Z

class DataCleaningError(Exception): pass

22

35

0.795455

4

44

8.75

1

0

0.136364

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2

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0.921053

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1

0

true

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0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

3005fab43b56c974e13e5bf2019ca3d64d667238

1,699

py

Python

hd_ansible/models.py

Rmond/OperMge

926f00107614ed55b26ff3beac178fe955de856a

[ "Apache-2.0" ]

1

2017-08-18T07:03:34.000Z

hd_ansible/models.py

Rmond/OperMge

926f00107614ed55b26ff3beac178fe955de856a

[ "Apache-2.0" ]

null

hd_ansible/models.py

Rmond/OperMge

926f00107614ed55b26ff3beac178fe955de856a

[ "Apache-2.0" ]

null

from __future__ import unicode_literals from django.db import models # Create your models here. class MysqlAduit(models.Model): username=models.CharField(max_length=32) mysqluser=models.CharField(max_length=64) mysqlhost=models.CharField(max_length=16,default="") login_host = models.CharField(max_length=16,default="localhost") pridate=models.DateTimeField(auto_now=True) pri_database = models.CharField(max_length=32,default="") pri_table = models.CharField(max_length=32,default="") privilege=models.CharField(max_length=64,default="") class OptionLog(models.Model): username=models.CharField(max_length=32) option = models.CharField(max_length=10) mysqlhost=models.CharField(max_length=16) mysqluser=models.CharField(max_length=64) pridate=models.DateTimeField(auto_now_add=True) pri_database = models.CharField(max_length=32,default="") pri_table = models.CharField(max_length=32,default="") privilege = models.CharField(max_length=48) class SidInfo(models.Model): appname = models.CharField(max_length=32) sidname=models.CharField(max_length=32) hostip=models.CharField(max_length=16) socketpath=models.CharField(max_length=64) port=models.IntegerField() data_size=models.CharField(max_length=6) buffer_pool=models.IntegerField() password=models.CharField(max_length=128) replpassword=models.CharField(max_length=128) class Software(models.Model): softname=models.CharField(max_length=16) version=models.TextField(default="") class Hostip_Port(models.Model): hostip = models.CharField(max_length=16) port = models.IntegerField(default=3306)

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null

1

0

null

0

1

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1

0

5

303e50ceb3434e6a15f67c8d4df69531cc93a72d

61

py

Python

src/poetry/masonry/builders/__init__.py

sivanbecker/poetry

72497bcb66b5a1cc20e3aa95973c523a22b05bfa

[ "MIT" ]

1

2020-02-01T07:13:05.000Z

src/poetry/masonry/builders/__init__.py

sivanbecker/poetry

72497bcb66b5a1cc20e3aa95973c523a22b05bfa

[ "MIT" ]

1

2021-12-31T19:44:26.000Z

2022-03-08T20:52:13.000Z

src/poetry/masonry/builders/__init__.py

sivanbecker/poetry

72497bcb66b5a1cc20e3aa95973c523a22b05bfa

[ "MIT" ]

2

2020-12-07T04:26:21.000Z

2021-09-25T21:46:36.000Z

from poetry.masonry.builders.editable import EditableBuilder

30.5

60

0.885246

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61

7.714286

1

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1

61

0.947368

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1

0

1

0

1

0

5

304b40e3cc284e3d63957fd04c48894a07e610f0

164

py

Python

cannula/utils.py

rmyers/cannula

eb6fd76d2a9daed0df73b0bf389da0182f797972

[ "MIT" ]

9

2015-11-05T08:52:49.000Z

2019-11-18T10:20:58.000Z

cannula/utils.py

rmyers/cannula

eb6fd76d2a9daed0df73b0bf389da0182f797972

[ "MIT" ]

null

cannula/utils.py

rmyers/cannula

eb6fd76d2a9daed0df73b0bf389da0182f797972

[ "MIT" ]

1

2015-12-22T15:15:08.000Z

from graphql import parse, DocumentNode def gql(schema: str) -> DocumentNode: """ Helper utility to provide help mark up """ return parse(schema)

18.222222

42

0.670732

20

164

5.5

0.85

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0.237805

164

8

43

20.5

0.88

0.231707

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0.333333

false

0

0.333333

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

3052f6eb369b83f2efd14a4f579da61a7b5bf604

183

py

Python

tests/res/apps/templatelibs_app/templatetags/django_library.py

spothero/coffin

9ea6a9173cbfed592c5b4776c489dba8d9280d52

[ "BSD-3-Clause" ]

1

2016-11-19T06:32:20.000Z

tests/res/apps/templatelibs_app/templatetags/django_library.py

spothero/coffin

9ea6a9173cbfed592c5b4776c489dba8d9280d52

[ "BSD-3-Clause" ]

null

tests/res/apps/templatelibs_app/templatetags/django_library.py

spothero/coffin

9ea6a9173cbfed592c5b4776c489dba8d9280d52

[ "BSD-3-Clause" ]

1

2022-03-08T23:12:00.000Z

"""Register a filter with a Django library object. """ def foo(value): return "{foo}" from django.template import Library register = Library() register.filter('foo_django', foo)

20.333333

50

0.721311

25

183

5.24

0.56

0.229008

0

0.147541

183

9

51

20.333333

0.839744

0.256831

0

0.115385

0

1

0.2

false

0

0.2

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

307591bf48ea479a905a3169de7fb456710b402f

45

py

Python

tests/__init__.py

jspaezp/jspp_imageutils

6376e274a1b0675622a7979c181b9effc125aa09

[ "Apache-2.0" ]

null

tests/__init__.py

jspaezp/jspp_imageutils

6376e274a1b0675622a7979c181b9effc125aa09

[ "Apache-2.0" ]

null

tests/__init__.py

jspaezp/jspp_imageutils

6376e274a1b0675622a7979c181b9effc125aa09

[ "Apache-2.0" ]

null

"""Unit test package for jspp_imageutils."""

22.5

44

0.733333

6

45

5.333333

1

0

0.111111

45

1

45

0.8

0.844444

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3077a83a0780ac138b20e729bbfc5e79df9402f5

33

py

Python

ts_demo/core/tasks.py

ResonantGeoData/RD-TileServerDemo

17027d0fcb79f1cc6a2780e438d9bb6e15bdf78f

[ "Apache-2.0" ]

1

2021-05-26T18:49:52.000Z

ts_demo/core/tasks.py

ResonantGeoData/RD-TileServerDemo

17027d0fcb79f1cc6a2780e438d9bb6e15bdf78f

[ "Apache-2.0" ]

8

2021-04-29T17:25:28.000Z

2021-05-27T15:09:20.000Z

ts_demo/core/tasks.py

ResonantGeoData/RD-TileServerDemo

17027d0fcb79f1cc6a2780e438d9bb6e15bdf78f

[ "Apache-2.0" ]

null

# from celery import shared_task

16.5

32

0.818182

5

33

5.2

1

0

0.151515

33

1

33

0.928571

0.909091

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3079de86d693520c5d94105846cd717bf32f327b

106

py

Python

deepar/__init__.py

NewKnowledge/deepar

f5bb8ee2a848396b78e8341eabcb42671d765580

[ "MIT" ]

3

2020-08-19T14:08:10.000Z

2021-08-30T02:30:56.000Z

deepar/__init__.py

NewKnowledge/deepar

f5bb8ee2a848396b78e8341eabcb42671d765580

[ "MIT" ]

null

deepar/__init__.py

NewKnowledge/deepar

f5bb8ee2a848396b78e8341eabcb42671d765580

[ "MIT" ]

5

2019-11-27T10:11:39.000Z

2021-05-29T03:26:14.000Z

from .dataset.time_series import TimeSeriesTrain, TimeSeriesTest from .model.learner import DeepARLearner

35.333333

64

0.867925

12

106

7.583333

0.833333

0

0.084906

106

2

65

53

0.938144

0

1

0

true

0

1

0

1

0

1

0

null

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null

0

1

0

1

0

1

0

5

307e2a80cbf19ebe7bb4f7b9762ec3db931697d0

97

py

Python

problems/sqrtx/solution-1.py

MleMoe/LeetCode-1

14f275ba3c8079b820808da17c4952fcf9c8253c

[ "MIT" ]

2

2021-03-25T01:58:55.000Z

2021-08-06T12:47:13.000Z

problems/sqrtx/solution-1.py

MleMoe/LeetCode-1

14f275ba3c8079b820808da17c4952fcf9c8253c

[ "MIT" ]

3

2019-08-27T13:25:42.000Z

2021-08-28T17:49:34.000Z

problems/sqrtx/solution-1.py

MleMoe/LeetCode-1

14f275ba3c8079b820808da17c4952fcf9c8253c

[ "MIT" ]

1

2021-08-14T08:49:39.000Z

import math class Solution: def mySqrt(self, x: int) -> int: return int(math.sqrt(x))

24.25

36

0.628866

15

97

4.066667

0.733333

0

0.237113

97

4

37

24.25

0.824324

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3080f6ce66e3dfb86d98b28d1d375ee1e62dcdbf

125

py

Python

web/prowlbackend/prowlbackend/settings/__init__.py

stensjoberg/pton-prowl

2151acbe68896495c407867e241fb459b2f626a5

[ "MIT" ]

null

web/prowlbackend/prowlbackend/settings/__init__.py

stensjoberg/pton-prowl

2151acbe68896495c407867e241fb459b2f626a5

[ "MIT" ]

13

2018-06-20T15:50:12.000Z

2022-03-22T20:25:39.000Z

web/ptonprowl/ptonprowl/settings/__init__.py

stensjoberg/pton-prowl

2151acbe68896495c407867e241fb459b2f626a5

[ "MIT" ]

null

# Change dev to prod for production setting from .dev import * # WARNING: Never run in production with development settings

25

60

0.784

18

125

5.444444

0.888889

0

0.176

125

4

61

31.25

0.951456

0.8

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

062f8bc049e6fde9bc69e8fcfee112a4f49d1af3

59

py

Python

src/ROS/src/workspace/ros/semantic_slam_ws/devel/.private/ShapeColor_ObjectDetection/lib/python2.7/dist-packages/ShapeColor_ObjectDetection/msg/__init__.py

GRobled0/CenterNet

740ecf06a96897b3545249bbb239264394283565

[ "MIT" ]

null

src/ROS/src/workspace/ros/semantic_slam_ws/devel/.private/ShapeColor_ObjectDetection/lib/python2.7/dist-packages/ShapeColor_ObjectDetection/msg/__init__.py

GRobled0/CenterNet

740ecf06a96897b3545249bbb239264394283565

[ "MIT" ]

null

src/ROS/src/workspace/ros/semantic_slam_ws/devel/.private/ShapeColor_ObjectDetection/lib/python2.7/dist-packages/ShapeColor_ObjectDetection/msg/__init__.py

GRobled0/CenterNet

740ecf06a96897b3545249bbb239264394283565

[ "MIT" ]

null

from ._DetectedObjects import * from ._ObjectInfo import *

19.666667

31

0.79661

6

59

7.5

0.666667

0

0.135593

59

2

32

29.5

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

064f7b3d5d515976d99e924a841d0ec85929b14e

19

py

Python

ultan/strategies/__init__.py

abingham/ultan

da1785bdd18aed2974c48450b914bca8592d4dbc

[ "MIT" ]

1

2019-05-07T14:29:17.000Z

ultan/strategies/__init__.py

abingham/ultan

da1785bdd18aed2974c48450b914bca8592d4dbc

[ "MIT" ]

2

2017-12-14T14:56:19.000Z

2017-12-14T14:58:31.000Z

ultan/strategies/__init__.py

abingham/ultan

da1785bdd18aed2974c48450b914bca8592d4dbc

[ "MIT" ]

null

# ultan.strategies

9.5

18

0.789474

2

19

7.5

1

0

0.105263

19

1

19

0.882353

0.842105

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

0652cde26bff900315af0290089cc058066b4094

102

py

Python

data_collection/rstools/__init__.py

bsridatta/robotfashion

594853c59a536a83e5c81d3a825dcfa72f7ac03b

[ "MIT" ]

null

data_collection/rstools/__init__.py

bsridatta/robotfashion

594853c59a536a83e5c81d3a825dcfa72f7ac03b

[ "MIT" ]

null

data_collection/rstools/__init__.py

bsridatta/robotfashion

594853c59a536a83e5c81d3a825dcfa72f7ac03b

[ "MIT" ]

null

from .rs_util import query_device_ids from .thread_util import RecordingThread, ImageProcessingThread

34

63

0.882353

13

102

6.615385

0.769231

0.232558

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py

Python

pywordle/__init__.py

agale123/py-wordle

b88924763658e2bdbdf38c248e6f70abcf534c97

[ "MIT" ]

null

pywordle/__init__.py

agale123/py-wordle

b88924763658e2bdbdf38c248e6f70abcf534c97

[ "MIT" ]

null

pywordle/__init__.py

agale123/py-wordle

b88924763658e2bdbdf38c248e6f70abcf534c97

[ "MIT" ]

null

from .game import Game, Status from .wordle import Wordle

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1

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5

0691557039da437b2509075c1206a710e37320b4

462

py

Python

plaintext_data_test.py

xyhlk520/GPG-Decrypt

43efec3890b5ff9c905180eef6778a94f10bb6b0

[ "Apache-2.0" ]

null

plaintext_data_test.py

xyhlk520/GPG-Decrypt

43efec3890b5ff9c905180eef6778a94f10bb6b0

[ "Apache-2.0" ]

null

plaintext_data_test.py

xyhlk520/GPG-Decrypt

43efec3890b5ff9c905180eef6778a94f10bb6b0

[ "Apache-2.0" ]

null

out_data = b"\x1c\x91\x73\x94\xba\xfb\x3c\x30" + \ b"\x3c\x30\xac\x26\x62\x09\x74\x65" + \ b"\x73\x74\x31\x2e\x74\x78\x74\x5e" + \ b"\xc5\xf7\x32\x4c\x69\x76\x65\x20" + \ b"\x66\x72\x65\x65\x20\x6f\x72\x20" + \ b"\x64\x69\x65\x20\x68\x61\x72\x64" + \ b"\x0d\x0a\xd3\x14\x7c\x2e\x86\x89" + \ b"\x7a\x42\x58\xed\x06\x53\x9f\x15" + \ b"\xcc\xca\x7e\x7b\x37\x28\x5f\x3c"

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069f2c44fe5faf876febaac5a218eaba4e66a205

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py

Python

SWIM-Executables/Windows/pyinstaller-2.0 for windows/support/rthooks/pyi_rth_babel.py

alexsigaras/SWIM

1a35df8acb26bdcb307a1b8f60e9feba68ed1715

[ "MIT" ]

47

2020-03-08T08:43:28.000Z

2022-03-18T18:51:55.000Z

SWIM-Executables/Windows/pyinstaller-2.0 for windows/support/rthooks/pyi_rth_babel.py

alexsigaras/SWIM

1a35df8acb26bdcb307a1b8f60e9feba68ed1715

[ "MIT" ]

null

SWIM-Executables/Windows/pyinstaller-2.0 for windows/support/rthooks/pyi_rth_babel.py

alexsigaras/SWIM

1a35df8acb26bdcb307a1b8f60e9feba68ed1715

[ "MIT" ]

16

2020-03-08T08:43:30.000Z

2022-01-10T22:05:57.000Z

import os import sys d = "localedata" d = os.path.join(sys._MEIPASS, d) import babel.localedata babel.localedata._dirname = d

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ebfc937a02751c83a60ef0866f5d6d94d65a0b9b

37

py

Python

tpau_gtfsutilities/gtfs/gtfssingleton.py

anniekfifer/tpau-gtfsutils

a022d4c8465b7f736023ecc294ff0d7d0201b0e9

[ "BSD-3-Clause" ]

1

2021-05-25T23:33:01.000Z

tpau_gtfsutilities/gtfs/gtfssingleton.py

anniekfifer/tpau-gtfsutils

a022d4c8465b7f736023ecc294ff0d7d0201b0e9

[ "BSD-3-Clause" ]

null

tpau_gtfsutilities/gtfs/gtfssingleton.py

anniekfifer/tpau-gtfsutils

a022d4c8465b7f736023ecc294ff0d7d0201b0e9

[ "BSD-3-Clause" ]

null

from .gtfs import GTFS gtfs = GTFS()

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5

233a286cfb63e13e871bb558adf6e9da5e6cb0e0

154

py

Python

cheetah/__init__.py

BiocomputeLab/cheetah

cf5b32e6de7af5c4bddc715817b5a9b3b3f5e658

[ "MIT" ]

null

cheetah/__init__.py

BiocomputeLab/cheetah

cf5b32e6de7af5c4bddc715817b5a9b3b3f5e658

[ "MIT" ]

null

cheetah/__init__.py

BiocomputeLab/cheetah

cf5b32e6de7af5c4bddc715817b5a9b3b3f5e658

[ "MIT" ]

1

2021-06-25T01:01:31.000Z

""" Cheetah """ from .analyse import * from .segment import * from .data import * from .augmentation import * from .plot import * from .control import *

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234d3e15e2df59b9f6a5b1735bbf1f1e9d57ba3b

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py

Python

src/__tests__/integration/simple/main_test.py

jest-community/jest-pytest

b197b0b31e3ca5c411202d97583cbd2d2b0b92e9

[ "MIT" ]

37

2018-05-22T07:17:26.000Z

2022-03-03T13:14:46.000Z

src/__tests__/integration/simple/main_test.py

jondot/jest-pytest

b197b0b31e3ca5c411202d97583cbd2d2b0b92e9

[ "MIT" ]

34

2018-05-22T07:19:40.000Z

2022-03-11T23:21:03.000Z

src/__tests__/integration/simple/main_test.py

jondot/jest-pytest

b197b0b31e3ca5c411202d97583cbd2d2b0b92e9

[ "MIT" ]

8

2018-05-30T20:05:26.000Z

2021-02-19T14:17:05.000Z

def test_modulemap(snapshot): snapshot.assert_match([1, 2, 4]) def test_runlist(): assert 1 == 1

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py

Python

PyMongoWrapper/mongofield.py

zhuth/PyMongoWrapper

ac0767a4e8e637fdef372e7935104b4d9678c583

[ "MIT" ]

null

PyMongoWrapper/mongofield.py

zhuth/PyMongoWrapper

ac0767a4e8e637fdef372e7935104b4d9678c583

[ "MIT" ]

null

PyMongoWrapper/mongofield.py

zhuth/PyMongoWrapper

ac0767a4e8e637fdef372e7935104b4d9678c583

[ "MIT" ]

null

from .mongobase import MongoFunction, MongoOperand from bson import ObjectId class MongoFieldFunction(MongoFunction): def __init__(self, field_name, func_name): super().__init__(func_name) self.field_name = field_name def __call__(self, *args, **kwargs): f = super().__call__(*args, **kwargs) return MongoOperand({ self.field_name: f() }) class MongoField(MongoOperand): def __init__(self, name): super().__init__(name) def __getattr__(self, fname): return MongoFieldFunction(self._literal, fname) def __neg__(self): return MongoField('-' + self()) def __ne__(self, a): return MongoOperand({self(): {'$ne': a}}) def __eq__(self, a): return MongoOperand({self(): a}) def __gt__(self, a): return MongoOperand({self(): {'$gt': a}}) def __ge__(self, a): return MongoOperand({self(): {'$gte': a}}) def __lt__(self, a): return MongoOperand({self(): {'$lt': a}}) def __le__(self, a): return MongoOperand({self(): {'$lte': a}}) def empty(self): return self.exists(0) | (self == None) | (self == '') | (self == 0) class MongoIdField(MongoField): def __init__(self): super().__init__('_id') def __eq__(self, a): return MongoOperand({'_id': ObjectId(a)}) def __ne__(self, a): return MongoOperand({'_id': {'$ne': ObjectId(a)}}) def __gt__(self, a): return MongoOperand({self(): {'$gt': ObjectId(a)}}) def __ge__(self, a): return MongoOperand({self(): {'$gte': ObjectId(a)}}) def __lt__(self, a): return MongoOperand({self(): {'$lt': ObjectId(a)}}) def __le__(self, a): return MongoOperand({self(): {'$lte': ObjectId(a)}}) class MongoOperandFactory: def __init__(self, class_): self.class_ = class_ def __getattr__(self, name): return self.class_(MongoOperand._repr(name)) def __getitem__(self, name): return self.class_(MongoOperand._repr(name))

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88ece23a913a25c0449420f044a81b8bc3f4f151

188

py

Python

backend/home/models.py

crowdbotics-apps/demo1-28501

c995770e7fd0a9f0e7b49dc1cde281749b837806

[ "FTL", "AML", "RSA-MD" ]

null

backend/home/models.py

crowdbotics-apps/demo1-28501

c995770e7fd0a9f0e7b49dc1cde281749b837806

[ "FTL", "AML", "RSA-MD" ]

null

backend/home/models.py

crowdbotics-apps/demo1-28501

c995770e7fd0a9f0e7b49dc1cde281749b837806

[ "FTL", "AML", "RSA-MD" ]

null

from django.conf import settings from django.db import models class Sample1(models.Model): "Generated Model" user_id = models.BigIntegerField() password = models.TextField()

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00164e2c49f435fadc61e34e18a17f027177306c

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py

Python

modules/services/binance_handler/binance_api/__init__.py

vladimir2240/orders_searcher

dac5143ec882f84ba263b5dd5a5eca1891051f3e

[ "MIT" ]

null

modules/services/binance_handler/binance_api/__init__.py

vladimir2240/orders_searcher

dac5143ec882f84ba263b5dd5a5eca1891051f3e

[ "MIT" ]

null

modules/services/binance_handler/binance_api/__init__.py

vladimir2240/orders_searcher

dac5143ec882f84ba263b5dd5a5eca1891051f3e

[ "MIT" ]

null

from .binance_api import BinanceCall

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003c79b49e514f45a56efcd84f0099bd0e10c31a

261

py

Python

aiida_siesta/groups/pseudos.py

pfebrer96/aiida_siesta_plugin

ef0b086f070767921edf96ca4195176877768f69

[ "MIT" ]

3

2019-05-23T13:39:40.000Z

2020-10-30T10:09:09.000Z

aiida_siesta/groups/pseudos.py

pfebrer96/aiida_siesta_plugin

ef0b086f070767921edf96ca4195176877768f69

[ "MIT" ]

44

2017-03-08T22:23:05.000Z

2020-11-30T11:03:26.000Z

aiida_siesta/groups/pseudos.py

pfebrer96/aiida_siesta_plugin

ef0b086f070767921edf96ca4195176877768f69

[ "MIT" ]

8

2017-03-08T15:25:16.000Z

2020-06-05T09:25:12.000Z

from aiida.orm.groups import Group class PsfFamily(Group): """Group that represents a pseudo potential family containing `PsfData` nodes.""" class PsmlFamily(Group): """Group that represents a pseudo potential family containing `PsmlData` nodes."""

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ccd532adcc040961e0b2d39caaf7015cde651234

96

py

Python

venv/lib/python3.8/site-packages/numpy/random/tests/test_seed_sequence.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/random/tests/test_seed_sequence.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/random/tests/test_seed_sequence.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/18/d4/49/e23cb3aed7e894e343de05166a69dbbcaebe6ffa756c12bf4481b4b1f5

96

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1

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5

ccd6c3143a50ae1c4426e47747a6018c943283d6

143

py

Python

UVa 10361 - Automatic Poetry/sample/prototype.py

tadvi/uva

0ac0cbdf593879b4fb02a3efc09adbb031cb47d5

[ "MIT" ]

1

2020-11-24T03:17:21.000Z

UVa 10361 - Automatic Poetry/sample/prototype.py

tadvi/uva

0ac0cbdf593879b4fb02a3efc09adbb031cb47d5

[ "MIT" ]

null

UVa 10361 - Automatic Poetry/sample/prototype.py

tadvi/uva

0ac0cbdf593879b4fb02a3efc09adbb031cb47d5

[ "MIT" ]

1

2021-04-11T16:22:31.000Z

import re print re.split('[<>]', 'ein kind haelt seinen <schn>abel <n>ur') print 'wenn es haengt an der ...'.replace('...', '<replaced text>')

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py

Python

tools/virgo_platform.py

cp16net/virgo-base

9f2e0a8fa1f5c903dbceb657b3001034bbd147a3

[ "Apache-2.0" ]

1

2015-07-01T09:57:14.000Z

tools/virgo_platform.py

kans/birgo

d9aca7356933c4bb95f5649353acbc95e3083a57

[ "Apache-2.0" ]

null

tools/virgo_platform.py

kans/birgo

d9aca7356933c4bb95f5649353acbc95e3083a57

[ "Apache-2.0" ]

null

#!/usr/bin/env python import pkgutils print(pkgutils.pkg_dir())

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py

Python

src/sage/tests/books/computational-mathematics-with-sagemath/sol/linalg_doctest.py

fchapoton/sage

765c5cb3e24dd134708eca97e4c52e0221cd94ba

[ "BSL-1.0" ]

1,742

2015-01-04T07:06:13.000Z

2022-03-30T11:32:52.000Z

src/sage/tests/books/computational-mathematics-with-sagemath/sol/linalg_doctest.py

Ivo-Maffei/sage

467fbc70a08b552b3de33d9065204ee9cbfb02c7

[ "BSL-1.0" ]

66

2015-03-19T19:17:24.000Z

2022-03-16T11:59:30.000Z

src/sage/tests/books/computational-mathematics-with-sagemath/sol/linalg_doctest.py

dimpase/sage

468f23815ade42a2192b0a9cd378de8fdc594dcd

[ "BSL-1.0" ]

495

2015-01-10T10:23:18.000Z

2022-03-24T22:06:11.000Z

## -*- encoding: utf-8 -*- """ This file (./sol/linalg_doctest.sage) was *autogenerated* from ./sol/linalg.tex, with sagetex.sty version 2011/05/27 v2.3.1. It contains the contents of all the sageexample environments from this file. You should be able to doctest this file with: sage -t ./sol/linalg_doctest.sage It is always safe to delete this file; it is not used in typesetting your document. Sage example in ./sol/linalg.tex, line 89:: sage: A = matrix(GF(7),[[0,0,3,0,0],[1,0,6,0,0],[0,1,5,0,0], ....: [0,0,0,0,5],[0,0,0,1,5]]) sage: P = A.minpoly(); P x^5 + 4*x^4 + 3*x^2 + 3*x + 1 sage: P.factor() (x^2 + 2*x + 2) * (x^3 + 2*x^2 + x + 4) Sage example in ./sol/linalg.tex, line 100:: sage: e1 = identity_matrix(GF(7),5)[0] sage: e4 = identity_matrix(GF(7),5)[3] sage: A.transpose().maxspin(e1) [(1, 0, 0, 0, 0), (0, 1, 0, 0, 0), (0, 0, 1, 0, 0)] sage: A.transpose().maxspin(e4) [(0, 0, 0, 1, 0), (0, 0, 0, 0, 1)] sage: A.transpose().maxspin(e1 + e4) [(1, 0, 0, 1, 0), (0, 1, 0, 0, 1), (0, 0, 1, 5, 5), (3, 6, 5, 4, 2), (1, 5, 3, 3, 0)] Sage example in ./sol/linalg.tex, line 168:: sage: def Similar(A, B): ....: F1, U1 = A.frobenius(2) ....: F2, U2 = B.frobenius(2) ....: if F1 == F2: ....: return True, ~U2*U1 ....: else: ....: return False, F1 - F2 sage: B = matrix(ZZ, [[0,1,4,0,4],[4,-2,0,-4,-2],[0,0,0,2,1], ....: [-4,2,2,0,-1],[-4,-2,1,2,0]]) sage: U = matrix(ZZ, [[3,3,-9,-14,40],[-1,-2,4,2,1],[2,4,-7,-1,-13], ....: [-1,0,1,4,-15],[-4,-13,26,8,30]]) sage: A = (U^-1 * B * U).change_ring(ZZ) sage: ok, V = Similar(A, B); ok True sage: V [ 1 2824643/1601680 -6818729/1601680 -43439399/11211760 73108601/11211760] [ 0 342591/320336 -695773/320336 -2360063/11211760 -10291875/2242352] [ 0 -367393/640672 673091/640672 -888723/4484704 15889341/4484704] [ 0 661457/3203360 -565971/3203360 13485411/22423520 -69159661/22423520] [ 0 -4846439/3203360 7915157/3203360 -32420037/22423520 285914347/22423520] sage: ok, V = Similar(2*A, B); ok False """

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1

0

5

4e3d256db6b3b65ecc84e8b54d8ecd042f0995aa

20

py

Python

third-file.py

deepti-anand/hello-world

494fc16c416dc8fe25600d5830052343b70f2070

[ "Apache-2.0" ]

null

third-file.py

deepti-anand/hello-world

494fc16c416dc8fe25600d5830052343b70f2070

[ "Apache-2.0" ]

null

third-file.py

deepti-anand/hello-world

494fc16c416dc8fe25600d5830052343b70f2070

[ "Apache-2.0" ]

null

print("hello third")

20

0.75

3

20

5

1

0

0.05

20

1

20

0.789474

0

0.52381

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9d68c5221ef857912f37ab2538d579ba32babf14

136

py

Python

day-4/trio_score/trio_score/materials/__init__.py

DaviRaubach/intensive

f2abce0f888f1231d0f8da6f24d41c921ea6aca1

[ "MIT" ]

null

day-4/trio_score/trio_score/materials/__init__.py

DaviRaubach/intensive

f2abce0f888f1231d0f8da6f24d41c921ea6aca1

[ "MIT" ]

null

day-4/trio_score/trio_score/materials/__init__.py

DaviRaubach/intensive

f2abce0f888f1231d0f8da6f24d41c921ea6aca1

[ "MIT" ]

null

# -*- coding: utf-8 -*- import abjad.system abjad.system.ImportManager.import_material_packages( __path__[0], globals(), )

17

52

0.669118

15

136

5.666667

0.8

0.258824

0

0.017857

0.176471

136

7

53

19.428571

0.741071

0.154412

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

9df0bbfd3b4a4b027015e9fde6fa3b5d9838fe05

469

py

Python

python/OpenCalc/Lib/Code/Functions/Standard.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

3

2015-11-24T17:06:58.000Z

2018-05-01T14:03:57.000Z

python/OpenCalc/Lib/Code/Functions/Standard.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

null

python/OpenCalc/Lib/Code/Functions/Standard.py

josephlewis42/personal_codebase

aa0fff9a908ab90bc78d24aa69d1b91163c35314

[ "Unlicense" ]

null

''' Description Of Module @Author = Joseph Lewis<joehms22@gmail.com> @Date = 2010-2-24 @License = GPL ==Changelog== 2010-2-24 - First version made by Joseph Lewis 2010-03-04 - Abs fixed so it will not return a string, and print an error Joseph Lewis 2010-03-17 - Abs fixed from a prior error, in which it didn't work (abs used instead of fabs) ''' #Import Statements import math import OpenCalc #Define Constants #Define Functions def abs(num): return math.fabs(num)

24.684211

93

0.744136

80

469

4.3625

0.6875

0.094556

0.040115

0.097421

0

0.081218

0.159915

469

18

94

26.055556

0.804569

0.829424

0

1

0.25

false

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

1

0

5

d186988bb05f80f51338732e06d446064af18473

339

py

Python

fantasy_sports/apps/boa/views/__init__.py

HowardSnable/aoe_fantasy

bca280730a71a10801a3f90df05c75c2a5279c5c

[ "MIT" ]

null

fantasy_sports/apps/boa/views/__init__.py

HowardSnable/aoe_fantasy

bca280730a71a10801a3f90df05c75c2a5279c5c

[ "MIT" ]

null

fantasy_sports/apps/boa/views/__init__.py

HowardSnable/aoe_fantasy

bca280730a71a10801a3f90df05c75c2a5279c5c

[ "MIT" ]

null

from .create_league import CreateLeague from .find_league import FindLeague from .my_leagues import MyLeagues from .display_league import DisplayLeague from .update_league import UpdateLeague from .join_league import JoinLeague from .results_view import ResultView from .market_info_view import MarketInfoView from .rules import RulesView

33.9

44

0.867257

45

339

6.333333

0.533333

0.210526

0

0.106195

339

9

45

37.666667

0.940594

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

d1b5ee1a574f28fdb81fc99dd7c17dec3bea20c4

40

py

Python

metamapper/instruction_selection/__init__.py

rdaly525/MetaMapper

7f8278a012435d5d05ff6b388b7c1146061d6f1c

[ "BSD-3-Clause" ]

3

2019-04-09T22:58:21.000Z

2019-08-16T18:18:12.000Z

metamapper/instruction_selection/__init__.py

rdaly525/MetaMapper

7f8278a012435d5d05ff6b388b7c1146061d6f1c

[ "BSD-3-Clause" ]

22

2019-03-13T19:42:35.000Z

2022-03-29T19:49:33.000Z

metamapper/instruction_selection/__init__.py

rdaly525/MetaMapper

7f8278a012435d5d05ff6b388b7c1146061d6f1c

[ "BSD-3-Clause" ]

1

2019-04-09T05:35:52.000Z

from .dag_rewrite import GreedyCovering

20

39

0.875

5

40

6.8

1

0

0.1

40

1

40

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d1c4e7de9c5d5b53e103a935c5f17fcf43585c48

127

py

Python

InventorySystem/paper/admin.py

guyueming/PythonWeb

e8a38fc26c06ec78e1de61d65055dcfc480ef8f1

[ "MIT" ]

null

InventorySystem/paper/admin.py

guyueming/PythonWeb

e8a38fc26c06ec78e1de61d65055dcfc480ef8f1

[ "MIT" ]

null

InventorySystem/paper/admin.py

guyueming/PythonWeb

e8a38fc26c06ec78e1de61d65055dcfc480ef8f1

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import PaperModel admin.site.register(PaperModel)

18.142857

32

0.811024

17

127

6.058824

0.647059

0

0.125984

127

6

33

21.166667

0.927928

0.204724

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ae2fa3017f9278cd6a1326bc727b40346050bc55

209

py

Python

Basics/Lesson 1 - printing and commenting/main.py

frainfreeze/teaching-python

f4e5de52bfb1d47597e6b3c748717122dab13a14

[ "BSD-2-Clause" ]

null

Basics/Lesson 1 - printing and commenting/main.py

frainfreeze/teaching-python

f4e5de52bfb1d47597e6b3c748717122dab13a14

[ "BSD-2-Clause" ]

null

Basics/Lesson 1 - printing and commenting/main.py

frainfreeze/teaching-python

f4e5de52bfb1d47597e6b3c748717122dab13a14

[ "BSD-2-Clause" ]

null

#python 2.7 print("Hello world") print "Hello world" print("Not a comment") print("Am a comment") ''' print("We are in a comment") print ("We are still in a comment") ''' print("We are out of the comment")

14.928571

35

0.665072

37

209

3.756757

0.459459

0.230216

0.374101

0.323741

0.417266

0.28777

0

0.011561

0.172249

209

13

36

16.076923

0.791908

0.047847

0

0.571429

0

null

0

null

1

0

null

1

0

null

0

1

0

1

0

5

ae442db5d852cbf993cb99bd42683b8d7aa70703

174

py

Python

torch_geometric_temporal/data/dataset/__init__.py

LFrancesco/pytorch_geometric_temporal

0964515a6041ce0cceb12e36ed640df22c046b4d

[ "MIT" ]

null

torch_geometric_temporal/data/dataset/__init__.py

LFrancesco/pytorch_geometric_temporal

0964515a6041ce0cceb12e36ed640df22c046b4d

[ "MIT" ]

null

torch_geometric_temporal/data/dataset/__init__.py

LFrancesco/pytorch_geometric_temporal

0964515a6041ce0cceb12e36ed640df22c046b4d

[ "MIT" ]

null

from .chickenpox import ChickenpoxDatasetLoader from .pedalme import PedalMeDatasetLoader from .metr_la import METRLADatasetLoader from .pems_bay import PemsBayDatasetLoader

34.8

47

0.885057

18

174

8.444444

0.666667

0

0.091954

174

4

48

43.5

0.962025

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ae582d8b240fb47f0d13ed06fd0475bd346d21c6

175

py

Python

runner_service/controllers/__init__.py

benthomasson/ansible-runner-service

7bbf694ff26f35dba7fdd36c74ecefdd29de2694

[ "Apache-2.0" ]

null

runner_service/controllers/__init__.py

benthomasson/ansible-runner-service

7bbf694ff26f35dba7fdd36c74ecefdd29de2694

[ "Apache-2.0" ]

null

runner_service/controllers/__init__.py

benthomasson/ansible-runner-service

7bbf694ff26f35dba7fdd36c74ecefdd29de2694

[ "Apache-2.0" ]

null

from .playbooks import ListPlaybooks, PlaybookState, StartPlaybook from .api import API from .hosts import Hosts, HostMgmt, HostUpdate from .jobs import ListEvents, GetEvent

29.166667

66

0.822857

21

175

6.857143

0.619048

0

0.125714

175

5

67

35

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ae590b8618092fd584fe9295aac1815af575001d

171

py

Python

ingestion/Ingestion/__init__.py

captechconsulting/alfred

424aa5c0ce3446e091c2c935a9d593bb2731cf7c

[ "Apache-2.0" ]

11

2018-03-28T04:58:23.000Z

2021-03-16T16:29:55.000Z

ingestion/Ingestion/__init__.py

captechconsulting/alfred

424aa5c0ce3446e091c2c935a9d593bb2731cf7c

[ "Apache-2.0" ]

4

2018-06-15T18:53:41.000Z

2020-04-16T15:46:24.000Z

ingestion/Ingestion/__init__.py

captechconsulting/alfred

424aa5c0ce3446e091c2c935a9d593bb2731cf7c

[ "Apache-2.0" ]

10

2018-01-23T16:17:47.000Z

2020-03-25T17:32:33.000Z

import sys from os import path import copyToHDFS import registry as reg from loglib import setup_logging sys.path.append(path.join(path.dirname(path.realpath(__file__))))

24.428571

65

0.824561

27

171

5.037037

0.62963

0

0.099415

171

6

66

28.5

0.883117

0

1

0

true

0

0.833333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ae88193136fc7be6516110c930fef9a14ff49278

46

py

Python

rotterdam/test/__init__.py

lvh/rotterdam

aded889c6f763675813e4e4d271a6fd072dcee30

[ "Apache-2.0" ]

null

rotterdam/test/__init__.py

lvh/rotterdam

aded889c6f763675813e4e4d271a6fd072dcee30

[ "Apache-2.0" ]

null

rotterdam/test/__init__.py

lvh/rotterdam

aded889c6f763675813e4e4d271a6fd072dcee30

[ "Apache-2.0" ]

null

"""Tests for a bunch of otter experiments."""

23

45

0.695652

7

46

4.571429

1

0

0.152174

46

1

46

0.820513

0.847826

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

ae99b0e738c305894e71d17a9072ddca068b8bc4

45

py

Python

mager/copy_checker/errors.py

Frank17/Mager

aca848e201556a12ecaf0a4510241e23569d1107

[ "MIT" ]

1

2022-03-21T06:22:09.000Z

mager/copy_checker/errors.py

Frank17/Mager

aca848e201556a12ecaf0a4510241e23569d1107

[ "MIT" ]

null

mager/copy_checker/errors.py

Frank17/Mager

aca848e201556a12ecaf0a4510241e23569d1107

[ "MIT" ]

null

class WrongValuesError(ValueError): pass

15

35

0.777778

4

45

8.75

1

0

0.155556

45

2

36

22.5

0.921053

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

881b137bff87593b0494f43ffbbe5a93bd7d52d2

52

py

Python

web_server/authors/models.py

ColeBoytinck/cmput404-group-project

133e118fe8453b13f0d5afdf7b8d625eba9e4086

[ "MIT" ]

null

web_server/authors/models.py

ColeBoytinck/cmput404-group-project

133e118fe8453b13f0d5afdf7b8d625eba9e4086

[ "MIT" ]

144

2020-02-04T04:18:54.000Z

2021-04-08T21:24:19.000Z

web_server/authors/models.py

ColeBoytinck/cmput404-group-project

133e118fe8453b13f0d5afdf7b8d625eba9e4086

[ "MIT" ]

13

2020-01-30T00:00:12.000Z

2020-04-06T05:22:04.000Z

from django.db import models from uuid import uuid4

17.333333

28

0.826923

9

52

4.777778

0.777778

0

0.022727

0.153846

52

2

29

26

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

88242f2999badc907d3cde0c97101fdf0ed44c20

58

py

Python

test/Actions/addpost-link-fixture/strip.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

1,403

2017-11-23T14:24:01.000Z

2022-03-30T20:59:39.000Z

test/Actions/addpost-link-fixture/strip.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

3,708

2017-11-27T13:47:12.000Z

2022-03-29T17:21:17.000Z

test/Actions/addpost-link-fixture/strip.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

281

2017-12-01T23:48:38.000Z

2022-03-31T15:25:44.000Z

import sys print("strip.py: %s" % " ".join(sys.argv[1:]))

19.333333

46

0.586207

10

58

3.4

0.9

0

0.019608

0.12069

58

2

47

29

0.647059

0

0.224138

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

882751ab98a78ee0b45fba433cebe125d25c5a55

61

py

Python

wordsToNumbers/word_sphere/__init__.py

VoicuTomut/Qountry

841467eca5704fd24c49000668f739cae8155b59

[ "MIT" ]

null

wordsToNumbers/word_sphere/__init__.py

VoicuTomut/Qountry

841467eca5704fd24c49000668f739cae8155b59

[ "MIT" ]

null

wordsToNumbers/word_sphere/__init__.py

VoicuTomut/Qountry

841467eca5704fd24c49000668f739cae8155b59

[ "MIT" ]

null

""" """ from .fibonacci_mapping import fibonacci_vocabulary

12.2

51

0.770492

6

61

7.5

0.833333

0

0.114754

61

4

52

15.25

0.833333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

88a0dce326ca72368f56bc5d90b475cc3575c96b

204

py

Python

ark/tree/__init__.py

YaserJaradeh/ARK

4ab65c81868698293fe3ffde24b9139788ab7deb

[ "MIT" ]

null

ark/tree/__init__.py

YaserJaradeh/ARK

4ab65c81868698293fe3ffde24b9139788ab7deb

[ "MIT" ]

null

ark/tree/__init__.py

YaserJaradeh/ARK

4ab65c81868698293fe3ffde24b9139788ab7deb

[ "MIT" ]

null

from .components import DTCommand, DTChance, DTChoice, DTCondition, DTExpr from .nodes import DTNode, GameNode, ChanceNode, ChoiceNode, ConditionNode from .base import BaseDecisionTree, DummyDecisionTree

51

74

0.838235

21

204

8.142857

0.809524

0

0.102941

204

3

75

68

0.934426

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

88a5d53e9a520b2e1850da9de83fa53be972b926

72

py

Python

pyautofinance/common/learn/__init__.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

null

pyautofinance/common/learn/__init__.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

null

pyautofinance/common/learn/__init__.py

webclinic017/PyAutoFinance

532cb1c5418dd9eeb07f2f08646170cde1fe0303

[ "MIT" ]

1

2022-02-24T09:18:13.000Z

from pyautofinance.common.learn.ta_lib_predicter import TaLibPredicter

24

70

0.888889

9

72

6.888889

1

0

0.069444

72

2

71

36

0.925373

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

31f46409850146ed0459306d4c38fb518d991860

515

py

Python

Example5.3/dealer.py

yuishihara/ReinforcementLearningExcersices

e68b10e6cc11f30b25ceb14c9c5fd433f7ae9d5a

[ "MIT" ]

null

Example5.3/dealer.py

yuishihara/ReinforcementLearningExcersices

e68b10e6cc11f30b25ceb14c9c5fd433f7ae9d5a

[ "MIT" ]

null

Example5.3/dealer.py

yuishihara/ReinforcementLearningExcersices

e68b10e6cc11f30b25ceb14c9c5fd433f7ae9d5a

[ "MIT" ]

null

class Dealer: def __init__(self): self.__hand = None def select_action(self): if self.hand_total() < 17: return 1 else: return 0 def give_card(self, card): self.__hand.add_card(card) def revealed_card(self): cards = self.__hand.cards() return cards[0] def is_busted(self): return self.__hand.is_busted() def new_hand(self, hand): self.__hand = hand def hand(self): return self.__hand def hand_total(self): return self.__hand.total()

14.305556

34

0.638835

74

515

4.081081

0.324324

0.238411

0.139073

0.178808

0

0.012953

0.250485

515

35

14.714286

0.76943

0

1

0.380952

false

0

0.142857

0.714286

0

null

1

0

1

0

null

0

1

0

1

0

5

c9d071bccd51291361b428ae46c21a6394e4ab69

22

py

Python

machinelearning/knn.py

Anandsingh28/css-1

7d7685fdea311e0bfdc4e4574188cb2543b6aa71

[ "MIT" ]

null

machinelearning/knn.py

Anandsingh28/css-1

7d7685fdea311e0bfdc4e4574188cb2543b6aa71

[ "MIT" ]

null

machinelearning/knn.py

Anandsingh28/css-1

7d7685fdea311e0bfdc4e4574188cb2543b6aa71

[ "MIT" ]

null

print("ye knn.py hai")

22

0.681818

5

22

3

1

0

0.090909

22

1

22

0.75

0

0.565217

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c9d54bfff98ad8c16be711f92a54b8c01cc8654a

77

py

Python

ox_herd/core/utils/__init__.py

empower-capital/ox_herd

2aa77db945296c152dc8d420f42a6d6455d514fa

[ "BSD-2-Clause" ]

1

2021-11-28T20:35:31.000Z

ox_herd/core/utils/__init__.py

empower-capital/ox_herd

2aa77db945296c152dc8d420f42a6d6455d514fa

[ "BSD-2-Clause" ]

5

2017-11-21T00:21:13.000Z

2021-06-30T19:47:54.000Z

ox_herd/core/utils/__init__.py

empower-capital/ox_herd

2aa77db945296c152dc8d420f42a6d6455d514fa

[ "BSD-2-Clause" ]

4

2021-12-17T10:58:15.000Z

2021-12-23T14:38:40.000Z

"""The ox_herd.core.utils package contains useful utilities for ox_herd. """

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py

Python

pylinear/source/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

2

2019-08-07T19:57:04.000Z

2021-01-21T22:54:13.000Z

pylinear/source/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

1

2019-10-02T03:18:26.000Z

pylinear/source/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

5

2019-09-03T17:01:10.000Z

2020-08-05T17:49:42.000Z

from .compositesource import CompositeSource from .source import Source from .sourcecollection import SourceCollection from .directimages import DirectImages

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Python

Assignment_4/Medhi-04-03.py

pranavmedhi123/Neural-Networks

d944db015230131a19e585c509b7c735dd56e69b

[ "Apache-2.0" ]

null

Assignment_4/Medhi-04-03.py

pranavmedhi123/Neural-Networks

d944db015230131a19e585c509b7c735dd56e69b

[ "Apache-2.0" ]

null

Assignment_4/Medhi-04-03.py

pranavmedhi123/Neural-Networks

d944db015230131a19e585c509b7c735dd56e69b

[ "Apache-2.0" ]

null

# Medhi, Pranav # 1001-756-326 # 2020_04_20 # Assignment-04-03 import tensorflow as tf import tensorflow.keras as keras import pytest import numpy as np from cnn import CNN import os from tensorflow.keras import utils as np_utils import matplotlib.pyplot as plt from tensorflow.keras.datasets import mnist def test_1(): (X_train, y_train), (X_test, y_test) = mnist.load_data() X_train = X_train.reshape((X_train.shape[0], 28, 28, 1)).astype('float32') X_test = X_test.reshape((X_test.shape[0], 28, 28, 1)).astype('float32') X_train = X_train / 255 X_test = X_test / 255 tc = np_utils.to_categorical(y_test) num_classes = tc.shape[1] model=CNN() model.add_input_layer(shape=(28, 28, 1), name="input0") model.append_conv2d_layer(32, (5, 5), activation='relu') model.append_maxpooling2d_layer(pool_size=(2, 2), padding="same", strides=2, name='pooling') model.append_flatten_layer(name='flatten') model.append_dense_layer(num_nodes=128, activation='relu') model.append_dense_layer(num_nodes=10, activation='softmax') model.set_loss_function(loss="SparseCategoricalCrossentropy") model.set_optimizer(optimizer="SGD") model.set_metric('accuracy') batch_size=1000 num_epoch=10 y=model.train(X_train,y_train,batch_size=batch_size,num_epochs=num_epoch) # y=history.history['loss'] assert y[-1]<y[0] # x=y.history['acc'] x=model.accuracies assert x[-1]>x[0] def test_2(): (X_train, y_train), (X_test, y_test) = mnist.load_data() X_train = X_train.reshape((X_train.shape[0], 28, 28, 1)).astype('float32') X_test = X_test.reshape((X_test.shape[0], 28, 28, 1)).astype('float32') X_train = X_train / 255 X_test = X_test / 255 tc = np_utils.to_categorical(y_test) num_classes = tc.shape[1] model=CNN() model.add_input_layer(shape=(28, 28, 1), name="input0") model.append_conv2d_layer(32, (5, 5), activation='relu') model.append_maxpooling2d_layer(pool_size=(2, 2), padding="same", strides=2, name='pooling') model.append_flatten_layer(name='flatten') model.append_dense_layer(num_nodes=128, activation='relu') model.append_dense_layer(num_nodes=10, activation='softmax') model.set_loss_function(loss="SparseCategoricalCrossentropy") model.set_optimizer(optimizer="SGD") model.set_metric('accuracy') batch_size=1000 num_epoch=10 history=model.train(X_train,y_train,batch_size=batch_size,num_epochs=num_epoch) evaluate = model.evaluate(X_test, y_test) assert evaluate[0] < 0.35 and evaluate[1]> 0.9

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