xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

ff4a4e23eaf03048578be8ff466e39e45a4bcb36

616

py

Python

MT-MemOverload.py

MillenniumWare/MT-MemOverload

fb8033cda92c8862f536749001cced460e9d73d4

[ "Unlicense" ]

null

MT-MemOverload.py

MillenniumWare/MT-MemOverload

fb8033cda92c8862f536749001cced460e9d73d4

[ "Unlicense" ]

null

MT-MemOverload.py

MillenniumWare/MT-MemOverload

fb8033cda92c8862f536749001cced460e9d73d4

[ "Unlicense" ]

null

import os import multiprocessing from multiprocessing import Process def listfill(): filllist = [] for i in range(9999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999): filllist.append("0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000") cpucount = os.cpu_count() cpucount = int(cpucount) for i in range(cpucount): if __name__ == '__main__': p = Process(target=listfill) p.start() p.join()

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Python

mirapy/visualization/visualize.py

awesome-archive/mirapy

f0cdc2cb024e9d09c1d40325c79bd486dacc50a0

[ "MIT" ]

42

2019-05-09T13:23:07.000Z

2022-02-01T18:00:38.000Z

mirapy/visualization/visualize.py

awesome-archive/mirapy

f0cdc2cb024e9d09c1d40325c79bd486dacc50a0

[ "MIT" ]

18

2019-04-22T18:40:09.000Z

2019-05-06T07:12:38.000Z

mirapy/visualization/visualize.py

awesome-archive/mirapy

f0cdc2cb024e9d09c1d40325c79bd486dacc50a0

[ "MIT" ]

10

2019-05-06T10:19:20.000Z

2020-04-20T15:12:33.000Z

import pandas as pd from sklearn.decomposition import PCA import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # do not remove this line def visualize_2d(x, y): """ Function for 2D visualization of data using Principal Component Analysis (PCA). :param x: Array of features. :param y: Array of target values. """ pca = PCA(n_components=2) principal_components = pca.fit_transform(x) principal_df = pd.DataFrame(data=principal_components, columns=['PC 1', 'PC 2']) target = pd.DataFrame(y, columns=['target']) new_df = pd.concat([principal_df, target], axis=1) fig = plt.figure(figsize=(10, 10)) ax = fig.add_subplot(1, 1, 1) ax.set_xlabel('Principal Component 1') ax.set_ylabel('Principal Component 2') ax.set_title('2D Feature Visualization') im = ax.scatter(new_df[['PC 1']], new_df[['PC 2']], c=new_df[['target']].values, s=2) fig.colorbar(im, ax=ax) ax.grid() def visualize_3d(x, y): """ Function for 3D visualization of data using Principal Component Analysis (PCA). :param x: Array of features. :param y: Array of target values. """ pca = PCA(n_components=3) principal_components = pca.fit_transform(x) principal_df = pd.DataFrame(data=principal_components, columns=['PC 1', 'PC 2', 'PC 3']) target = pd.DataFrame(y, columns=['target']) new_df = pd.concat([principal_df, target], axis=1) fig = plt.figure(figsize=(10, 10)) ax = fig.add_subplot(111, projection='3d') im = ax.scatter(new_df[['PC 1']], new_df[['PC 2']], new_df[['PC 3']], c=y, s=2) ax.set_xlabel('Principal Component 1') ax.set_ylabel('Principal Component 2') ax.set_zlabel('Principal Component 3') ax.set_title('3D Feature Visualization') fig.colorbar(im, ax=ax) ax.grid()

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ff5af4deccd51af355537a6566f33c85339b3657

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py

Python

micro-benchmark/snippets/classes/parameter_call/main.py

WenJinfeng/PyCG

b45e8e04fe697d8301cf27222a8f37646d69f168

[ "Apache-2.0" ]

121

2020-12-16T20:31:37.000Z

2022-03-21T20:32:43.000Z

micro-benchmark/snippets/classes/parameter_call/main.py

WenJinfeng/PyCG

b45e8e04fe697d8301cf27222a8f37646d69f168

[ "Apache-2.0" ]

24

2021-03-13T00:04:00.000Z

2022-03-21T17:28:11.000Z

micro-benchmark/snippets/classes/parameter_call/main.py

WenJinfeng/PyCG

b45e8e04fe697d8301cf27222a8f37646d69f168

[ "Apache-2.0" ]

19

2021-03-23T10:58:47.000Z

2022-03-24T19:46:50.000Z

class MyClass: def func3(self): pass def func2(self, a): a() def func1(self, a, b): a(b) a = MyClass() a.func1(a.func2, a.func3)

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ff7bba7bd6fc3103608b20a19be0e9e5e0dc4c4c

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py

Python

tests/integration/ext.py

dreamingspires/flask-navigation

b322ff32764f080daab8ccf7a640a54e83479f1f

[ "MIT" ]

13

2015-07-02T12:37:34.000Z

2022-01-16T17:58:45.000Z

tests/integration/ext.py

dreamingspires/flask-navigation

b322ff32764f080daab8ccf7a640a54e83479f1f

[ "MIT" ]

4

2015-03-09T10:09:25.000Z

2016-09-23T07:01:32.000Z

tests/integration/ext.py

dreamingspires/flask-navigation

b322ff32764f080daab8ccf7a640a54e83479f1f

[ "MIT" ]

10

2015-04-02T16:54:36.000Z

2022-02-03T17:14:49.000Z

from flask.ext.navigation import Navigation nav = Navigation()

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ff8ee25a7be9bd8845a4a4dcbbe0c81cd4fd2fc9

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py

Python

django_mri/analysis/interfaces/matlab/spm/cat12/longitudinal_segmentation/outputs.py

GalBenZvi/django_mri

558e9187a6ba18b7ba69aced919a6f94d066a2fc

[ "Apache-2.0" ]

4

2020-07-27T20:33:54.000Z

2022-01-11T20:24:03.000Z

django_mri/analysis/interfaces/matlab/spm/cat12/longitudinal_segmentation/outputs.py

GalBenZvi/django_mri

558e9187a6ba18b7ba69aced919a6f94d066a2fc

[ "Apache-2.0" ]

107

2019-09-04T11:38:46.000Z

2022-03-04T13:59:51.000Z

django_mri/analysis/interfaces/matlab/spm/cat12/longitudinal_segmentation/outputs.py

GalBenZvi/django_mri

558e9187a6ba18b7ba69aced919a6f94d066a2fc

[ "Apache-2.0" ]

2

2019-08-16T10:06:13.000Z

2019-08-30T15:42:45.000Z

""" Dictionaries containing CAT12 longitudinal segmentation output file names by key. """ #: Output file names by key. SEGMENTATION_OUTPUT = { "surface_estimation": [ "surf/lh.central.{file_name}.gii", "surf/lh.sphere.{file_name}.gii", "surf/lh.sphere.reg.{file_name}.gii", "surf/lh.thickness.{file_name}", "surf/rh.central.{file_name}.gii", "surf/rh.sphere.{file_name}.gii", "surf/rh.sphere.reg.{file_name}.gii", "surf/rh.thickness.{file_name}", "surf/lh.pbt.{file_name}", "surf/rh.pbt.{file_name}", "label/catROIs_{file_name}.mat", "label/catROIs_{file_name}.xml", ], "neuromorphometrics": [ "label/catROI_{file_name}.mat", "label/catROI_{file_name}.xml", ], "lpba40": ["label/catROI_{file_name}.mat", "label/catROI_{file_name}.xml"], "cobra": ["label/catROI_{file_name}.mat", "label/catROI_{file_name}.xml"], "hammers": [ "label/catROI_{file_name}.mat", "label/catROI_{file_name}.xml", ], "native_grey_matter": "mri/p1{file_name}.nii", "modulated_grey_matter": "mri/mwp1{file_name}.nii", "dartel_grey_matter": { "rigid": "mri/rp1{file_name}_rigid.nii", "affine": "mri/rp1{file_name}_affine.nii", }, "native_white_matter": "mri/p2{file_name}.nii", "modulated_white_matter": "mri/mwp2{file_name}.nii", "dartel_white_matter": { "rigid": "mri/rp2{file_name}_rigid.nii", "affine": "mri/rp2{file_name}_affine.nii", }, "native_pve": "mri/p0{file_name}.nii", "warped_image": "mri/wm{file_name}.nii", "jacobian_determinant": "mri/wj_{file_name}.nii", "deformation_fields": { "none": None, "forward": "mri/y_{file_name}.nii", "inverse": "mri/iy_{file_name}.nii", "both": ["mri/y_{file_name}.nii", "mri/iy_{file_name}.nii"], }, } #: Artifacts created during execution. AUXILIARY_OUTPUT = { "batch_file": "segmentation.m", "reports": [ "report/cat_{file_name}.mat", "report/cat_{file_name}.xml", "report/catlog_{file_name}.txt", "report/catreport_{file_name}.pdf", "report/catreportj_{file_name}.jpg", ], }

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py

Python

graduate/test.py

mxito3/graduate_pro

7fca6e0387f741b8fc887cddd7e7fd8c9953a330

[ "MIT" ]

1

2020-01-02T01:40:57.000Z

graduate/test.py

mxito3/graduate_pro

7fca6e0387f741b8fc887cddd7e7fd8c9953a330

[ "MIT" ]

1

2021-06-02T01:18:04.000Z

graduate/test.py

mxito3/graduate_pro

7fca6e0387f741b8fc887cddd7e7fd8c9953a330

[ "MIT" ]

null

import time while True: print(1) time.sleep(3)

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py

Python

gcody/__init__.py

rtZamb/pyGCODE

5b5807910daa5a85cb232337ea4a58e857e6ce3d

[ "MIT" ]

11

2018-11-06T21:02:55.000Z

2022-03-14T01:46:50.000Z

gcody/__init__.py

rtZamb/pyGCODE

5b5807910daa5a85cb232337ea4a58e857e6ce3d

[ "MIT" ]

1

2020-04-10T02:13:38.000Z

2020-08-14T03:16:28.000Z

gcody/__init__.py

rtZamb/pyGCODE

5b5807910daa5a85cb232337ea4a58e857e6ce3d

[ "MIT" ]

5

2018-05-05T18:59:54.000Z

2021-05-14T15:08:08.000Z

# the init for the module gcody written by Ryan Zambrotta # importing the core classes and functions from .gsettings import gsettings from .gcode import gcode from .readg import read from .stl import readstl, viewstl, viewmesh

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py

Python

src/polyswarmd/utils/bloom.py

polyswarm/polyswarmd

b732d60f0f829cc355c1f938bbe6de69f9985098

[ "MIT" ]

14

2018-04-16T18:04:23.000Z

2019-11-26T06:39:23.000Z

src/polyswarmd/utils/bloom.py

polyswarm/polyswarmd

b732d60f0f829cc355c1f938bbe6de69f9985098

[ "MIT" ]

227

2018-04-03T01:10:34.000Z

2021-03-25T21:49:58.000Z

src/polyswarmd/utils/bloom.py

polyswarm/polyswarmd

b732d60f0f829cc355c1f938bbe6de69f9985098

[ "MIT" ]

2

2018-04-23T18:37:47.000Z

2021-04-26T10:58:39.000Z

# Based on eth-bloom (https://github.com/ethereum/eth-bloom, used under MIT # license) with modifications import logging import numbers import operator from polyswarmd.utils import sha3 logger = logging.getLogger(__name__) FILTER_BITS = 8 * 256 HASH_FUNCS = 8 def get_chunks_for_bloom(value_hash): assert HASH_FUNCS * 2 <= len(value_hash) for i in range(0, HASH_FUNCS): yield value_hash[2 * i:2 * (i+1)] # noqa def chunk_to_bloom_bits(chunk): assert FILTER_BITS <= (1 << 16) high, low = bytearray(chunk) return 1 << ((low + (high << 8)) & (FILTER_BITS - 1)) def get_bloom_bits(value): # Could decode the ipfs_hash and use it as is, but instead hash the # multihash representation to side-step different hash formats going # forward. Should rexamine this decision value_hash = sha3(value) for chunk in get_chunks_for_bloom(value_hash): bloom_bits = chunk_to_bloom_bits(chunk) yield bloom_bits class BloomFilter(numbers.Number): value = None def __init__(self, value=0): self.value = value def __int__(self): return self.value def add(self, value): if not isinstance(value, bytes): raise TypeError("Value must be of type `bytes`") for bloom_bits in get_bloom_bits(value): self.value |= bloom_bits def extend(self, iterable): for value in iterable: self.add(value) @classmethod def from_iterable(cls, iterable): bloom = cls() bloom.extend(iterable) return bloom def __contains__(self, value): if not isinstance(value, bytes): raise TypeError("Value must be of type `bytes`") return all(self.value & bloom_bits for bloom_bits in get_bloom_bits(value)) def __index__(self): return operator.index(self.value) def _combine(self, other): if not isinstance(other, (int, BloomFilter)): raise TypeError("The `or` operator is only supported for other `BloomFilter` instances") return BloomFilter(int(self) | int(other)) def __hash__(self): return hash(self.value) def __or__(self, other): return self._combine(other) def __add__(self, other): return self._combine(other) def _icombine(self, other): if not isinstance(other, (int, BloomFilter)): raise TypeError("The `or` operator is only supported for other `BloomFilter` instances") self.value |= int(other) return self def __ior__(self, other): return self._icombine(other) def __iadd__(self, other): return self._icombine(other)

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4410b6ed455f1989fda6ed1abf932f434bd077aa

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py

Python

python/591.tag-validator.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/591.tag-validator.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/591.tag-validator.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

class Solution: def isValid(self, code: str) -> bool:

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Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/catalog/api.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

3

2021-12-15T04:58:18.000Z

2022-02-06T12:15:37.000Z

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/catalog/api.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

null

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/catalog/api.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

[ "MIT" ]

1

2019-01-02T14:38:50.000Z

""" Python APIs exposed by the catalog app to other in-process apps. """ from .utils import get_programs_by_type_slug as _get_programs_by_type_slug from .utils import get_programs as _get_programs from .utils import course_run_keys_for_program as _course_run_keys_for_program from .utils import get_course_run_details as _get_course_run_details def get_programs_by_type(site, program_type_slug): """ Retrieves a list of programs for the site whose type's slug matches the parameter. Slug is used is used as a consistent value to check since ProgramType.name is a field that gets translated. Params: site (Site): The corresponding Site object to fetch programs for. program_type_slug (string): The type slug that matching programs must have. Returns: A list of programs (dicts) for the given site with the given type slug """ return _get_programs_by_type_slug(site, program_type_slug) def get_programs_from_cache_by_uuid(uuids): """ Retrieves the programs for the provided UUIDS. Relies on the Program cache, if it is not updated or data is missing the result will be missing data or empty. Params: uuids (list): A list of Program UUIDs to get Program data for from the cache. Returns: (list): list of dictionaries representing programs. """ return _get_programs(uuids=uuids) def get_course_run_key_for_program_from_cache(program): """ Retrieves a list of Course Run Keys from the Program. Params: program (dict): A dictionary from the program cache containing the data for a program. Returns: (set): A set of Course Run Keys. """ return _course_run_keys_for_program(parent_program=program) def get_course_run_details(course_key, fields_list): """ Retrieves course run details for a given course run key. Params: course_key (CourseKey): The identifier for the course. fields_list (List, string): A list of fields (as strings) of values we want returned. Returns: dict containing response from the Discovery API that includes the fields specified in `fields_list` """ return _get_course_run_details(course_key, fields_list)

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py

Python

src/abstraits/id/__init__.py

TheProjecter/kassie

1497f3cf8af661024086d25df86423568ed8d0c9

[ "BSD-3-Clause" ]

1

2017-01-08T05:09:29.000Z

src/abstraits/id/__init__.py

TheProjecter/kassie

1497f3cf8af661024086d25df86423568ed8d0c9

[ "BSD-3-Clause" ]

null

src/abstraits/id/__init__.py

TheProjecter/kassie

1497f3cf8af661024086d25df86423568ed8d0c9

[ "BSD-3-Clause" ]

null

# -*-coding:Utf-8 -* # Copyright (c) 2010 LE GOFF Vincent # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # * Neither the name of the copyright holder nor the names of its contributors # may be used to endorse or promote products derived from this software # without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT # OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. """Ce package définit les objets et fonctions nécessaires à la manipulation d'objets identifiées par des ID. La classe ObjetID, détaillée plus bas, donne plus d'informations sur ces objets. """ from abstraits.objet_id.id import ID class ObjetID: """Cette classe abstraite peut être héritée des objets qui souhaitent obtenir un identifiant unique, propre à chaque objet créé. Celui-ci se base sur deux données : - une chaîne de caractère identifiant le groupe d'objets. Ce préfixe est nécessaire quand on souhaite grouper plusieurs objets dans une structure, un dictionnaire par exemple. Le module primaire parid associe un dictionnaire par groupe d'objet et cela permet de retrouver la classe concernée par le préfixe. Quand on souhaite créer un nouveau groupe, on doit hériter cette classe en lui donnant un nom de groupe qui sera utilisé pour chaque objet créé - un entier identifiant clairement le numéro de l'objet. Cet entier s'incrémente à chaque fois que l'on créée un objet du groupe Exemple : 'salles:45' fait référence à un objet du groupe 'salles' (probablement une salle) dont le numéro identifiant est 45. Ainsi, on ne risque pas de le confondre avec 'joueurs:45'. """ id_actuel = 1 # on compte à partir de 1 groupe = "" # la chaîne contenant le nom du groupe préfixant l'ID def __init__(self): """Constructeur de la classe. On incrémente l'id_actuel du groupe. Dans le même temps, on crée un attribut nommé id dans l'objet manipulé. On associe à cet attribut un ID contenant le nom du groupe et l'identifiant entier le caractérisant. """ self.id = ID(type(self).groupe, type(self).id_actuel) type(self).id_actuel += 1 # Fonctions liées à la manipulation de ces objets def est_objet_id(objet): """Cette fonction renvoie True si l'objet manipulé est un ObjetID ou dérivé, False sinon. """ return isinstance(objet, ObjetID)

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null

0

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0

1

0

3

446ba693bb064a1ac9b554e472ae5f1766eb84f0

115

py

Python

run.py

iKintosh/Tink2020_LMS

d5937658cec701af04be18cfae648ffc3bdadf53

[ "MIT" ]

1

2021-05-13T08:42:11.000Z

run.py

iKintosh/Tink2020_LMS

d5937658cec701af04be18cfae648ffc3bdadf53

[ "MIT" ]

3

2020-03-31T10:48:13.000Z

2021-08-23T20:34:26.000Z

run.py

iKintosh/Tink2020_LMS

d5937658cec701af04be18cfae648ffc3bdadf53

[ "MIT" ]

null

from flask.cli import FlaskGroup from LMS import app cli = FlaskGroup(app) if __name__ == "__main__": cli()

12.777778

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115

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115

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null

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null

0

1

0

3

4476e6ec7d827485c90dea26ec5b6ead9c91cbee

11,935

py

Python

jetmontecarlo/tests/simple_tests/test_multem_simplecases.py

samcaf/JetMonteCarlo

71f50f3bb53a4f68ed927eaeaed5ee258da0dd34

[ "MIT" ]

null

jetmontecarlo/tests/simple_tests/test_multem_simplecases.py

samcaf/JetMonteCarlo

71f50f3bb53a4f68ed927eaeaed5ee258da0dd34

[ "MIT" ]

null

jetmontecarlo/tests/simple_tests/test_multem_simplecases.py

samcaf/JetMonteCarlo

71f50f3bb53a4f68ed927eaeaed5ee258da0dd34

[ "MIT" ]

null

from math import factorial import numpy as np import matplotlib.pyplot as plt from scipy.special import comb # Local utils: from jetmontecarlo.montecarlo.integrator import integrator from jetmontecarlo.utils.plot_utils \ import aestheticfig, style_dashed, style_yerr, \ legend_darklight, labelLines from jetmontecarlo.utils.color_utils import compcolors # Local test utils: from jetmontecarlo.tests.simple_tests.test_simpleSampler import simpleSampler # Parameters NUM_SAMPLES = 1000 NUM_BINS = 100 NUM_RVS = 3 X_MAX = [NUM_RVS, 2*NUM_RVS] SHOW_PLOTS = True SAVE_PLOTS = False # ------------------------------------ # Test pdfs: # ------------------------------------ rvtypes = ['Uniform (0,1)', 'Uniform (0,2)', 'Gaussian'] def simple_pdf(samples, algorithm=0): """Returns a test pdf for a set of samples, in order to test the procedure we are using to generate pdfs and cdfs for multiple emissions. The particular test pdf depends on the algorithm we are using to test the multiple emissions procedure Parameters ---------- samples : list A list of samples to which algorithm : int An integer that determines the particular pdf we use to test our multiple emissions procedure: 0 - Uniform pdf from 0 to 1 1 - Uniform pdf from 0 to 2 Returns pdf ------- list A set of pdfs corresponding to the given samples, for the given algorithm. """ assert algorithm in [0, 1, 2], "Unsupported pdf algorithm." if algorithm == 0: return np.ones(len(samples)) if algorithm == 1: return np.ones(len(samples)) / 2. return np.zeros(len(samples)) # ------------------------------------ # Analytic CDFs: # ------------------------------------ def simple_cdf(x_vals, num_summed, algorithm=0): """Analytic expression for the cdf of a sum of num_summed random variables distributed according to an algorithm. Parameters ---------- x_vals : list List of x values for which we will return a cdf. num_summed : type Number of identically distributed random variables we consider summing over. algorithm : type Algorithm which determines the distribution of our random variables. Returns cdf ------- numpy array An array containing a list of cdf values for the given x_vals """ cdf = [] if algorithm == 0: # Uniform RVs from 0 to 1 # The Irwin-Hall distribution governs the sum of uniform rvs: # https://en.wikipedia.org/wiki/Irwin–Hall_distribution for x_val in x_vals: cdf_x = 0 for k in range(int(np.floor(x_val)+1)): cdf_x_k = (-1)**k*comb(num_summed, k)*(x_val-k)**num_summed cdf_x += cdf_x_k/factorial(num_summed) cdf.append(cdf_x) cdf = np.array(cdf) return cdf*(cdf < 1.) + (cdf >= 1.) if algorithm == 1: # Uniform RVs from 0 to 2 for x_val in x_vals: cdf_x = 0 x_val = x_val/2. for k in range(int(np.floor(x_val)+1)): cdf_x_k = (-1)**k*comb(num_summed, k)*(x_val-k)**num_summed cdf_x += cdf_x_k/factorial(num_summed) cdf.append(cdf_x) cdf = np.array(cdf) return cdf*(cdf < 1.) + (cdf >= 1.) # Gaussian RVs cdf = np.zeros(len(x_vals)) return cdf*(cdf < 1.) + (cdf >= 1.) # ------------------------------------ # Testing sums of RVs: # ------------------------------------ def test_lin_sum_of_uniform_rvs(algorithm): """Produces pdfs associated with sums of identical random variables (rvs), using linear MC integration. The distribution of the rvs depends on a chosen algorithm. In particular, this method samples over 3 rvs, and integrates out 2, 1, or none of these rvs in order to produce several distributions. This is to make sure that the integration over multiple emissions when we go to the case of jet observables does not have problems when it comes to the way it integrates over the extra emissions. Parameters ---------- algorithm : int An integer that determines the particular pdf we use to test our multiple emissions procedure: 0 - Uniform pdf from 0 to 1 1 - Uniform pdf from 0 to 2 Returns None """ # Setting up plot _, axes = aestheticfig(xlabel='x', ylabel='CDF(x)', title='CDFs of sums of ' + str(rvtypes[algorithm]) + ' RVs', xlim=(0, X_MAX[algorithm]), ylim=(0, 1.1), showdate=False, ratio_plot=False) # Plotting the analytic result for the sum of i rvs pnts = np.linspace(0, X_MAX[algorithm], 1000) for i in range(NUM_RVS): axes[0].plot(pnts, simple_cdf(pnts, i+1, algorithm), **style_dashed, color=compcolors[(i%4, 'light')], label=str(i+1) + ' RVs' if i != 0 else '1 RV') # Labelling the lines for the analytic expressions labelLines(axes[0].get_lines(), xvals=np.linspace(.5*(algorithm+1), (NUM_RVS-.5)*(algorithm+1), NUM_RVS)) # Setting up total integration weight, area, and observables weights = 1. area = 1. # The first entry of obs_all will have rvs distributed by 'algorithm', # the second will have the sum of two identically such distributed rvs, # etc. obs_all = [] for i in range(NUM_RVS): # Generating samples test_sampler = simpleSampler('lin') test_sampler.generateSamples(NUM_SAMPLES) if algorithm == 1: test_sampler.samples *= 2. test_sampler.area *= 2. # Getting integration weight for all samples at once weights = (weights * np.array(test_sampler.jacobians) * simple_pdf(test_sampler.getSamples(), algorithm)) # Getting integration area for all samples at once area = area * test_sampler.area # Getting the sums of our identically distributed rvs if i == 0: obs_all.append(test_sampler.getSamples()) else: obs_all.append(obs_all[-1]+test_sampler.getSamples()) # Setting up integrator test_int = integrator() test_int.setLastBinBndCondition((1., 'minus')) # Enumerating over the relevant sets of samples, jacobians, and areas # to find distributions for each possible sum of rvs: for i, obs in enumerate(obs_all): # Integration test_int.setBins(NUM_BINS, obs, 'lin') test_int.setDensity(obs, weights, area) test_int.integrate() # Plotting _, _, bars = axes[0].errorbar(x=test_int.bins[:-1], y=test_int.integral, yerr=test_int.integralErr, **style_yerr, color=compcolors[(i%4, 'dark')], ecolor=compcolors[(i%4, 'dark')]) bars = [b.set_alpha(.5) for b in bars] # Legend legend_darklight(axes[0], errtype='yerr', twosigma=False) if SHOW_PLOTS: plt.show() elif SAVE_PLOTS: plt.savefig('rv_lin_sum_'+str(algorithm)+'_test.pdf', format='pdf') def test_log_sum_of_uniform_rvs(algorithm): """Produces pdfs associated with sums of identical random variables (rvs), using logarithmic MC integration. The distribution of the rvs depends on a chosen algorithm. In particular, this method samples over 3 rvs, and integrates out 2, 1, or none of these rvs in order to produce several distributions. This is to make sure that the integration over multiple emissions when we go to the case of jet observables does not have problems when it comes to the way it integrates over the extra emissions. Parameters ---------- algorithm : int An integer that determines the particular pdf we use to test our multiple emissions procedure: 0 - Uniform pdf from 0 to 1 1 - Uniform pdf from 0 to 2 Returns None """ # Setting up plot _, axes = aestheticfig(xlabel='x', ylabel='CDF(x)', title='CDFs of sums of ' + str(rvtypes[algorithm]) + ' RVs', xlim=(1e-3, X_MAX[algorithm]), ylim=(0, 1.1), showdate=False, ratio_plot=False) axes[0].set_xscale('log') # Plotting the analytic result for the sum of i rvs pnts = np.logspace(-3, np.log10(X_MAX[algorithm]), 1000) for i in range(NUM_RVS): axes[0].plot(pnts, simple_cdf(pnts, i+1, algorithm), **style_dashed, color=compcolors[(i%4, 'light')], label=str(i+1) + ' RVs' if i != 0 else '1 RV') # Labelling the lines for the analytic expressions labelLines(axes[0].get_lines(), xvals=np.logspace(np.log10(8e-2), np.log10((NUM_RVS-2)*(algorithm+1.)), NUM_RVS)) # Setting up total integration weight, area, and observables weights = 1. area = 1. # The first entry of obs_all will have rvs distributed by 'algorithm', # the second will have the sum of two identically such distributed rvs, # etc. obs_all = [] for i in range(NUM_RVS): # Generating samples test_sampler = simpleSampler('log', epsilon=1e-8) test_sampler.generateSamples(NUM_SAMPLES) if algorithm == 1: test_sampler.samples = np.array(test_sampler.samples)*2. test_sampler.jacobians = np.array(test_sampler.jacobians)*2. # Getting integration weight for all samples at once weights = (weights * np.array(test_sampler.jacobians) * simple_pdf(test_sampler.getSamples(), algorithm)) # Getting integration area for all samples at once area = area * test_sampler.area # Getting the sums of our identically distributed rvs if i == 0: obs_all.append(test_sampler.getSamples()) else: obs_all.append(obs_all[-1]+test_sampler.getSamples()) # Setting up integrator test_int = integrator() test_int.setLastBinBndCondition((1., 'minus')) # Enumerating over the relevant sets of samples, jacobians, and areas # to find distributions for each possible sum of rvs: for i, obs in enumerate(obs_all): # Integration test_int.setBins(NUM_BINS, obs, 'log') test_int.setDensity(obs, weights, area) test_int.integrate() # Plotting _, _, bars = axes[0].errorbar(x=test_int.bins[:-1], y=test_int.integral, yerr=test_int.integralErr, **style_yerr, color=compcolors[(i%4, 'dark')], ecolor=compcolors[(i%4, 'dark')]) bars = [b.set_alpha(.5) for b in bars] # Legend legend_darklight(axes[0], errtype='yerr', twosigma=False) if SHOW_PLOTS: plt.show() elif SAVE_PLOTS: plt.savefig('rv_log_sum_'+str(algorithm)+'_test.pdf', format='pdf') ######################################################### # Tests: ######################################################### if __name__ == "__main__": test_lin_sum_of_uniform_rvs(algorithm=0) test_lin_sum_of_uniform_rvs(algorithm=1) test_log_sum_of_uniform_rvs(algorithm=0) test_log_sum_of_uniform_rvs(algorithm=1)

35.20649

78

0.578886

1,514

11,935

4.437252

0.167768

0.032748

0.008336

0.01563

0.748139

0.72983

0.72075

0.690682

0.685025

0

0.017582

0.304231

11,935

338

79

35.310651

0.791305

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0.006329

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0.025316

false

0

0.050633

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0.113924

0

null

0

1

0

1

0

null

0

3

44843f6cb1c9d43433ac60af1e5d094d2d805843

127

py

Python

plugins/sub_cookie.py

degemer/m-croissant

0922e7a0164c9dbbad67a677428b530fb678f905

[ "Unlicense" ]

1

2015-05-27T18:00:56.000Z

plugins/sub_cookie.py

degemer/m-croissant

0922e7a0164c9dbbad67a677428b530fb678f905

[ "Unlicense" ]

null

plugins/sub_cookie.py

degemer/m-croissant

0922e7a0164c9dbbad67a677428b530fb678f905

[ "Unlicense" ]

null

from . import bot @bot.subscribe('cookie') def sub_cookie(message): bot.speak('I see a cookie in "{0}"'.format(message))

18.142857

56

0.677165

20

127

4.25

0.75

0

0.009259

0.149606

127

6

57

21.166667

0.777778

0

0.228346

0

1

0.25

false

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

448bbe506d98b3fcde86572a540d4a88de42c087

385

py

Python

tests/class/param03.py

ktok07b6/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

83

2015-11-30T09:59:13.000Z

2021-08-03T09:12:28.000Z

tests/class/param03.py

jesseclin/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

4

2017-02-10T01:43:11.000Z

2020-07-14T03:52:25.000Z

tests/class/param03.py

jesseclin/polyphony

657c5c7440520db6b4985970bd50547407693ac4

[ "MIT" ]

11

2016-11-18T14:39:15.000Z

2021-02-23T10:05:20.000Z

from polyphony import testbench class C: def __init__(self, x): self.x = x def get_x(self): return self.x def c_get_x_mul(c1, c2): return c1.get_x() * c2.get_x() def param03(x): c1 = C(x) c2 = C(x+1) return c_get_x_mul(c1, c2) @testbench def test(): assert 2 == param03(1) assert 6 == param03(2) assert 12 == param03(3) test()

15.4

34

0.581818

67

385

3.149254

0.343284

0.094787

0.047393

0.075829

0.113744

0

0.086643

0.280519

385

24

35

16.041667

0.67509

0

0.166667

1

0.277778

false

0

0.055556

0.111111

0.555556

0

null

0

null

0

1

0

1

0

3

9225b3022c4cb1218844cd395b85fc7fc935b564

534

py

Python

termlink/services.py

lifeomic/termlink

61e376a23415288ec0c0e0e45da84c18aa68e94f

[ "MIT" ]

null

termlink/services.py

lifeomic/termlink

61e376a23415288ec0c0e0e45da84c18aa68e94f

[ "MIT" ]

23

2019-04-04T23:13:31.000Z

2022-01-19T19:35:22.000Z

termlink/services.py

lifeomic/termlink

61e376a23415288ec0c0e0e45da84c18aa68e94f

[ "MIT" ]

null

"""Services A collection of interfaces built for extending ontology transformations. """ from abc import ABC, abstractmethod from typing import List from termlink.models import Relationship class RelationshipService(ABC): """ An interface for actions related to the `Relationship` model """ @abstractmethod def get_relationships(self) -> List[Relationship]: """ Gets a `List` of `Relationship` objects Returns: A `List` of `Relationship` objects """ pass

20.538462

72

0.664794

56

534

6.321429

0.642857

0.028249

0.039548

0.107345

0.146893

0

0.254682

534

25

73

21.36

0.889447

0.434457

0

1

0.142857

false

0.142857

0.428571

0

0.714286

0

null

0

null

0

1

0

1

0

3

922858c3fd93afb0769f586f62787944b219a6c1

2,260

py

Python

kg_core/models.py

alexisdurieux/kg-core-python

35d416359ddc3df37cf3604a8488eeb36f27d5e5

[ "Apache-2.0" ]

null

kg_core/models.py

alexisdurieux/kg-core-python

35d416359ddc3df37cf3604a8488eeb36f27d5e5

[ "Apache-2.0" ]

null

kg_core/models.py

alexisdurieux/kg-core-python

35d416359ddc3df37cf3604a8488eeb36f27d5e5

[ "Apache-2.0" ]

null

# Copyright (c) 2018, EPFL/Human Brain Project PCO # # 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. class Pagination(object): def __init__(self, start_from: int = 0, size: int = 50): self.start_from = start_from self.size = size class Stage(str): IN_PROGRESS = "IN_PROGRESS" RELEASED = "RELEASED" class ResponseConfiguration(object): def __init__(self, return_payload=True, return_permissions=False, return_alternatives=False, return_embedded=False, return_incoming_links=False, sort_by_label=False): self.return_payload = return_payload self.return_permissions = return_permissions self.return_alternatives = return_alternatives self.return_embedded = return_embedded self.return_incoming_links = return_incoming_links self.sort_by_label = sort_by_label class KGResult(object): def __init__(self, json: dict, request_args: dict, payload): self.payload = json self.request_args = request_args self.request_payload = payload def data(self): return self.payload["data"] if "data" in self.payload else None def message(self): return self.payload["message"] if "message" in self.payload else None def start_time(self): return self.payload["startTime"] if "startTime" in self.payload else None def duration_in_ms(self): return self.payload["durationInMs"] if "durationInMs" in self.payload else None def total(self): return self.payload["total"] if "total" in self.payload else 0 def size(self): return self.payload["size"] if "size" in self.payload else 0 def start_from(self): return self.payload["from"] if "from" in self.payload else 0

35.3125

170

0.70708

310

2,260

4.996774

0.351613

0.10652

0.063267

0.0949

0.10071

0.08909

0

0.00783

0.20885

2,260

63

171

35.873016

0.858501

0.260177

0

0.065821

0

1

0.294118

false

0

0.205882

0.676471

0

null

0

null

0

1

0

1

0

3

922c32256d052b5d36593dd23aaaa108c6f37d48

125

py

Python

demos/prey-predator/prey_predator_sd/model/state_variables.py

neo-empresarial/covid-19

cef10ee79d955c9e84148c3c8da542788a1f7395

[ "MIT" ]

3

2020-05-26T12:17:48.000Z

2020-06-25T12:03:37.000Z

demos/prey-predator/prey_predator_sd/model/state_variables.py

neo-empresarial/covid-19

cef10ee79d955c9e84148c3c8da542788a1f7395

[ "MIT" ]

4

2020-05-26T21:03:44.000Z

2020-06-30T12:13:15.000Z

demos/prey-predator/prey_predator_sd/model/state_variables.py

neo-empresarial/epidemiological-analysis

cef10ee79d955c9e84148c3c8da542788a1f7395

[ "MIT" ]

1

2021-11-22T23:10:45.000Z

import random import uuid import numpy as np genesis_states = { 'prey_population': 100, 'predator_population': 50 }

13.888889

29

0.72

16

125

5.4375

0.8125

0

0.05

0.2

125

8

30

15.625

0.82

0

0.272

0

1

0

false

0

0.428571

0

0.428571

0

1

0

null

0

1

0

null

0

1

0

3

923ee94618cf449258d806effa766a66007357e7

282

py

Python

2_PROGII/01-listas_13.py

Julymusso/IFES

939277c375dacc7750705c5593537d80ab4cbc0e

[ "MIT" ]

null

2_PROGII/01-listas_13.py

Julymusso/IFES

939277c375dacc7750705c5593537d80ab4cbc0e

[ "MIT" ]

null

2_PROGII/01-listas_13.py

Julymusso/IFES

939277c375dacc7750705c5593537d80ab4cbc0e

[ "MIT" ]

null

def iguais (l1,l2): same=0 for i in range (len(l1)): if l1[i]==l2[i]: same += 1 return same testea=[1,5,6,3,2,4,8,9,6,5,3,7,5,6,4,8,3,2,5,6,4,5,4,8,9,9] testeb=[5,4,6,9,8,7,5,5,3,2,1,4,6,5,7,8,9,6,3,2,1,4,5,6,9,8] print(iguais(testea,testeb))

21.692308

60

0.510638

79

282

1.822785

0.316456

0.055556

0.041667

0.055556

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282

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23.5

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1

null

0

1

0

1

0

null

0

3

925d8fae0efb3a1ced61d59ad3f8797c744c35ad

393

py

Python

HORT/HORT.py

Asim-Tahir/KGBTRBot-Tasks

469ae0c85a2692f90ce4606ba4ff36ff55b91b81

[ "Apache-2.0" ]

1

2020-11-15T14:11:06.000Z

HORT/HORT.py

KGBTR/Reddit-Bot-Tasks

469ae0c85a2692f90ce4606ba4ff36ff55b91b81

[ "Apache-2.0" ]

null

HORT/HORT.py

KGBTR/Reddit-Bot-Tasks

469ae0c85a2692f90ce4606ba4ff36ff55b91b81

[ "Apache-2.0" ]

null

from Common import BaseBot from Utils.Enums import LOGIN_METHOD, BOT_TYPE class HORTBot(BaseBot): Answer: str _BOT_TYPE: BOT_TYPE _LOGIN_METHOD: LOGIN_METHOD def __init__(self, login_method: LOGIN_METHOD): super().__init__(login_method, bot_type=BOT_TYPE.CURSER) def ReplyComment(self, answer: str=None): super().ReplyComment(answer) def ReadMD(self): raise NotImplementedError

24.5625

58

0.791349

55

393

5.272727

0.436364

0.227586

0.096552

0.124138

0

0.119593

393

16

59

24.5625

0.83815

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1

0.25

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0

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0.75

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null

1

0

null

0

1

0

1

0

3

92618c9e231b5d5f25fbff8661e2ea56af4da4c4

167

py

Python

data/address.py

monikatrz/python_training

30c0c9c6ec559a15dbea173ab1bd3c89bf2e3edd

[ "Apache-2.0" ]

null

data/address.py

monikatrz/python_training

30c0c9c6ec559a15dbea173ab1bd3c89bf2e3edd

[ "Apache-2.0" ]

null

data/address.py

monikatrz/python_training

30c0c9c6ec559a15dbea173ab1bd3c89bf2e3edd

[ "Apache-2.0" ]

null

from model.addres import Addres testdata = [ Addres(firstname="f1", middlename="m1", lastname="l1"), Addres(firstname="f2", middlename="m2", lastname="l2") ]

23.857143

59

0.676647

20

167

5.65

0.7

0.265487

0

0.041667

0.137725

167

7

60

23.857143

0.743056

0

0.071429

0

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false

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0.2

0

1

0

null

1

0

1

0

null

0

3

927fd540222548d06554e11170028024529bf1bc

134

py

Python

ex1-hailstone.py

Omi0604/DCU-Einstein-

b35e2657b8e27904035e881021c9bdf9e51675bb

[ "MIT" ]

null

ex1-hailstone.py

Omi0604/DCU-Einstein-

b35e2657b8e27904035e881021c9bdf9e51675bb

[ "MIT" ]

null

ex1-hailstone.py

Omi0604/DCU-Einstein-

b35e2657b8e27904035e881021c9bdf9e51675bb

[ "MIT" ]

null

#!/usr/bin/env python3 a = int(input()) b = int(input()) if a // 2 == b or (3 * a) + 1 == b: print("yes") else: print("no")

13.4

35

0.477612

24

134

2.666667

0.708333

0.25

0

0.040404

0.261194

134

9

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0.156716

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1

0

null

1

0

1

0

null

0

3

9283b716a8b3d5235a9a1a1fc8af62c301b87013

752

py

Python

tests/test_formulations.py

kzfm/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

8

2020-01-16T00:43:46.000Z

2021-11-27T18:26:12.000Z

tests/test_formulations.py

iwatobipen/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

null

tests/test_formulations.py

iwatobipen/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

3

2020-05-31T05:54:33.000Z

2021-11-15T04:31:07.000Z

import unittest from pychembldb import chembldb, Formulation class FormulationTest(unittest.TestCase): def setUp(self): self.target = chembldb.query(Formulation).filter_by(product_id="PRODUCT_017641_001").filter_by(molregno=674619).first() def test_product_id(self): self.assertEqual(self.target.product_id, "PRODUCT_017641_001") def test_ingredient(self): self.assertEqual(self.target.ingredient, "CALCIUM CHLORIDE") def test_strength(self): self.assertEqual(self.target.strength, "20MG/100ML") def test_molregno(self): self.assertEqual(self.target.molregno, 674619) def test_formulation_backref(self): self.assertEqual(self.target.molecule.pref_name, "CALCIUM CHLORIDE")

32.695652

127

0.739362

91

752

5.934066

0.384615

0.088889

0.175926

0.212963

0.361111

0

0.054945

0.152926

752

22

128

34.181818

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false

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null

0

1

0

null

0

1

0

1

0

3

9298dc1637a98b86618a3d65911afefd158f8855

948

py

Python

main.py

JustinLohKingWei/Puzzle-Solver-9000

fb564c50f11d20e3efb1b462bd79f0bbde143139

[ "MIT" ]

null

main.py

JustinLohKingWei/Puzzle-Solver-9000

fb564c50f11d20e3efb1b462bd79f0bbde143139

[ "MIT" ]

null

main.py

JustinLohKingWei/Puzzle-Solver-9000

fb564c50f11d20e3efb1b462bd79f0bbde143139

[ "MIT" ]

null

from heuristics import a_star, best_first, breadth_first_search, depth_first_search, ham_distance, man_distance, perm_inversion goalState = ["1", "2", "3", "8", "B", "4", "7", "6", "5"] initial_State1 = ["5", "1", "4", "7", "B", "6", "3", "8", "2"] initial_State2 = ["3", "5", "B", "2", "1", "4", "8", "7", "6"] initial_State3 = ["2", "8", "3", "1", "6", "4", "7", "B", "5"] if __name__ == '__main__': # Uncomment for DFS, BFS # print(depth_first_search(initial_State, goalState)) # print(breadth_first_search(initial_State, goalState)) print(best_first(ham_distance, initial_State3, goalState)) print(a_star(ham_distance, initial_State3, goalState)) print(best_first(man_distance, initial_State3, goalState)) print(a_star(man_distance, initial_State3, goalState)) print(best_first(perm_inversion, initial_State3, goalState)) print(a_star(perm_inversion, initial_State3, goalState))

41.217391

128

0.652954

131

948

4.389313

0.290076

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0.229565

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0.58087

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0

0.051508

0.160338

948

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129

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0.083333

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0

null

0

1

0

null

0

1

0

3

92b9c198a77316423a9ea3deb88de734b32bfe98

98

py

Python

site_details/apps.py

501code/fletcher-street-urban-riding-club

8a16a38280cde7dab1c8732613c52284b7ced1b3

[ "MIT" ]

1

2016-01-22T10:49:00.000Z

site_details/apps.py

501code/fletcher-street-urban-riding-club

8a16a38280cde7dab1c8732613c52284b7ced1b3

[ "MIT" ]

6

2016-01-30T06:52:40.000Z

2016-01-30T16:42:08.000Z

site_details/apps.py

501code/fletcher-street-urban-riding-club

8a16a38280cde7dab1c8732613c52284b7ced1b3

[ "MIT" ]

null

from django.apps import AppConfig class SiteDetailsConfig(AppConfig): name = 'site_details'

16.333333

35

0.77551

11

98

6.818182

0.909091

0

0.153061

98

5

36

19.6

0.903614

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0

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false

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0.333333

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1

0

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null

0

1

0

null

0

1

0

3

2b87f1dbbf2f2423eb9246b4d629fdaeac7653e6

10,924

py

Python

gpn/utils/config.py

WodkaRHR/Graph-Posterior-Network

139e7c45c37324c9286e0cca60360a4978b3f411

[ "MIT" ]

null

gpn/utils/config.py

WodkaRHR/Graph-Posterior-Network

139e7c45c37324c9286e0cca60360a4978b3f411

[ "MIT" ]

null

gpn/utils/config.py

WodkaRHR/Graph-Posterior-Network

139e7c45c37324c9286e0cca60360a4978b3f411

[ "MIT" ]

null

from typing import Union, List, Tuple import attr from .object import HalfFrozenObject import os.path as osp @attr.s(frozen=True) class RunConfiguration(HalfFrozenObject): """object specifying possible job configurations""" # experiment name (relevant for saving/loading trained models) experiment_name: str = attr.ib(default=None) # experiment-name for evaluation (relevant e.g. for evasion attacks) eval_experiment_name: str = attr.ib(default=None) # root directory to save/load models to/from experiment_directory: str = attr.ib(default=None) # evaluation mode # default: e.g. ood evasion or re-evaluation # dropout: i.e. DropoutEnsemble evaluation # ensemble: i.e. Ensemble evaluation (using model-init 1-10!!!) eval_mode: str = attr.ib(default=None, validator=lambda i, a, v: v in ( 'default', 'dropout', 'ensemble', 'energy_scoring')) # flag whether to run a job as experiment ("train": training + evaluation) # or only in "evaluation" mode (e.g. re-evaluating model, # evlulating models on other datasets, or as dropout-models or ensembles) job: str = attr.ib(default=None, validator=lambda i, a, v: v in ('train', 'evaluate')) # save-flag (e.g. for not saving GridSearch experiments) save_model: bool = attr.ib(default=None) # gpu gpu: int = attr.ib(default=None, validator=lambda i, a, v: v in (0, False)) # run multiple experiments at one num_inits: int = attr.ib(default=None) num_splits: int = attr.ib(default=None) # running experiment log: bool = attr.ib(default=True) # flag for logging training progress and metrics debug: bool = attr.ib(default=True) # flag for running code in a "DEBUG" mode ex_type: str = attr.ib(default='transductive', validator=lambda i, a, v: v in ( 'transductive', 'transductive_ood')) ood_loc: bool = attr.ib(default=True) # flag for running LOC in ood_experiment ood_loc_only: bool = attr.ib(default=False) # flag for only runninig LOC in ood_experiment ood_edge_perturbations: bool = attr.ib(default=True) # flag for running edge pert. exp. in ood_experiment ood_isolated_perturbations: bool = attr.ib(default=False) # flag for running isolated exp. in ood_experiment @attr.s(frozen=True) class FileDataConfiguration(HalfFrozenObject): """ object specifying possible dataset configurations linking to a dataset file""" split_no: int = attr.ib(default=None, validator=lambda i, a, v: v is not None and v > 0) directory: str = attr.ib(default=None, validator=lambda i, a, v: osp.exists(v)) ood_flag: bool = attr.ib(default=True) ood_dataset_type: str = attr.ib(None, validator=lambda i, a, v: v in ('budget', 'isolated', None)) ood_setting: str = attr.ib(default=None, validator=lambda i, a, v: v in ('evasion', 'poisoning', None)) ood_type: str = attr.ib(default=None) ood_val_dataset: str = attr.ib(default='ood-val') ood_test_dataset: str = attr.ib(default='ood-test') @attr.s(frozen=True) class DataConfiguration(HalfFrozenObject): """object specifying possible dataset configurations""" # sparseness to_sparse: bool = attr.ib(default=False) # ranomness split_no: int = attr.ib(default=None, validator=lambda i, a, v: v is not None and v > 0) # dataset parameters dataset: str = attr.ib(default=None) root: str = attr.ib(default=None) split: str = attr.ib(default=None, validator=lambda i, a, v: v in ('public', 'random')) # note that either the num-examples for the size values # must be specified, but not both at the same time! train_samples_per_class: Union[int, float] = attr.ib(default=None) val_samples_per_class: Union[int, float] = attr.ib(default=None) test_samples_per_class: Union[int, float] = attr.ib(default=None) train_size: float = attr.ib(default=None) val_size: float = attr.ib(default=None) test_size: float = attr.ib(default=None) # ood parameters ood_flag: bool = attr.ib(default=False) ood_setting: str = attr.ib(default=None, validator=lambda i, a, v: v in ('evasion', 'poisoning', None)) ood_type: str = attr.ib(default=None, validator=lambda i, a, v: v in ( None, 'perturb_features', 'leave_out_classes', 'leave_out_classes_evasion', 'random_attack_dice', 'random_attack_targeted', 'random_edge_perturbations')) ood_dataset_type: str = attr.ib(None, validator=lambda i, a, v: v in ('budget', 'isolated', None)) # type of feature perturabtion, e.g. bernoulli_0.5 ood_perturbation_type: str = attr.ib(default=None) ood_budget_per_graph: float = attr.ib(default=None) ood_budget_per_node: float = attr.ib(default=None) ood_noise_scale: float = attr.ib(default=None) ood_num_left_out_classes: int = attr.ib(default=None) ood_frac_left_out_classes: float = attr.ib(default=None) ood_left_out_classes: List[int] = attr.ib(default=None) ood_leave_out_last_classes: bool = attr.ib(default=None) @attr.s(frozen=True) class ModelConfiguration(HalfFrozenObject): """object specifying possible model configurations""" # model name model_name: str = attr.ib(default=None, validator=lambda i, a, v: v is not None and len(v) > 0) # randomness seed: int = attr.ib(default=None, validator=lambda i, a, v: v is not None and v > 0) init_no: int = attr.ib(default=None, validator=lambda i, a, v: v is not None and v > 0) # default parameters num_classes: int = attr.ib(default=None) dim_features: int = attr.ib(default=None) dim_hidden: Union[int, List[int]] = attr.ib(default=None) dropout_prob: float = attr.ib(default=None) dropout_prob_adj: float = attr.ib(default=0.0) # mainly relevant for ogbn-arxiv batch_norm: bool = attr.ib(default=None) # for constrained linear layers k_lipschitz: float = attr.ib(default=None) # for deeper networks num_layers: int = attr.ib(default=None) # GAT heads_conv1: int = attr.ib(default=None) heads_conv2: int = attr.ib(default=None) negative_slope: float = attr.ib(default=None) coefficient_dropout_prob: float = attr.ib(default=None) # diffusion K: int = attr.ib(default=None) alpha_teleport: float = attr.ib(default=None) add_self_loops: bool = attr.ib(default=None) # PostNet / NormalizingFlows radial_layers: int = attr.ib(default=None) ft_radial_layers: int = attr.ib(default=None) maf_layers: int = attr.ib(default=None) ft_maf_layers: int = attr.ib(default=None) gaussian_layers: int = attr.ib(default=None) ft_gaussian_layers: int = attr.ib(default=None) dim_latent: int = attr.ib(default=None) alpha_evidence_scale: Union[int, str] = attr.ib(default=None) entropy_reg: float = attr.ib(default=None) factor_flow_lr: float = attr.ib(default=None) flow_weight_decay: float = attr.ib(default=None) share_flow: bool = attr.ib(default=None) use_batched_flow: bool = attr.ib(default=None) pre_train_mode: str = attr.ib(default=None, validator=lambda i, a, v: v in ('encoder', 'flow', 'none', None)) likelihood_type: str = attr.ib( default=None, validator=lambda i, a, v: v in ('UCE', 'nll_train', 'nll_train_and_val', 'nll_consistency', 'none', None)) gpn_loss_type: str = attr.ib( default=None ) # Natural PostNets weight_evidence_transformation: str = attr.ib(default=None) weight_evidence_scale: float = attr.ib(default=None) latent_space_aggregation: str = attr.ib(default=None) loss_nll_weight: float = attr.ib(default=None) use_flow_mixture: bool = attr.ib(default=None) node_normalization: str = attr.ib(default=None) approximate_reg: bool = attr.ib(default=None) neighborhood_evidence: str = attr.ib(default=None) loss_reduction: str = attr.ib(default=None, validator=lambda i, a, v: v in (None, 'sum', 'mean')) loss_nll_weight_with_classes: bool = attr.ib(default=None) # RGCN gamma: float = attr.ib(default=None) beta_kl: float = attr.ib(default=None) beta_reg: float = attr.ib(default=None) # BayesianGCN bayesian_samples: int = attr.ib(default=None) pi: float = attr.ib(default=None) sigma_1: float = attr.ib(default=None) sigma_2: float = attr.ib(default=None) # DUN beta_dun: float = attr.ib(default=None) depth_in_message_passing: bool = attr.ib(default=None) # SGCN teacher_training: bool = attr.ib(default=None) teacher_params: dict = attr.ib(default=None) use_bayesian_dropout: bool = attr.ib(default=None) use_kernel: bool = attr.ib(default=None) lambda_1: float = attr.ib(default=None) sample_method: str = attr.ib(default=None, validator=lambda i, a, v: v in (None, 'log_evidence', 'alpha', 'none')) epochs: int = attr.ib(default=None) # dropout / ensemble num_samples_dropout: int = attr.ib(default=None) ensemble_min_init_no: int = attr.ib(default=None) ensemble_max_init_no: int = attr.ib(default=None) # scoring temperature: float = attr.ib(default=None) def default_ignore(self) -> List[str]: """define default attributes to ignore when loading/storing models """ ignore = [ 'temperature', 'ensemble_max_init_no', 'ensemble_min_init_no', 'num_samples_dropout', 'init_no' ] for i in ignore: assert hasattr(self, i) return ignore @attr.s(frozen=True) class TrainingConfiguration(HalfFrozenObject): """object specifying possible training configurations""" lr: float = attr.ib(default=None) weight_decay: float = attr.ib(default=None) epochs: int = attr.ib(default=None) warmup_epochs: int = attr.ib(default=None) finetune_epochs: int = attr.ib(default=None) stopping_mode: str = attr.ib(default=None, validator=lambda i, a, v: v in (None, 'default', 'average', 'multiple')) stopping_patience: int = attr.ib(default=None) stopping_restore_best: bool = attr.ib(default=None) stopping_metric: str = attr.ib(default=None) stopping_minimize: bool = attr.ib(default=None) def configs_from_dict(d: dict) -> Tuple[RunConfiguration, DataConfiguration, ModelConfiguration, TrainingConfiguration]: """utility function converting a dictionary (e.g. coming from a .yaml file) into the corresponding configuration objects Args: d (dict): dictionary containing all relevant configuration parameters Returns: Tuple[RunConfiguration, DataConfiguration, ModelConfiguration, TrainingConfiguration]: tuple of corresponding objects for run, data, model, and training configuration """ run = RunConfiguration(**d['run']) data = DataConfiguration(**d['data']) model = ModelConfiguration(**d['model']) training = TrainingConfiguration(**d['training']) return run, data, model, training

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null

0

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3

2bb92a38909e2227151f93c3a5e695aeb23a6740

6,134

py

Python

tests/test_core/test_write/test_update_adjust_sql_objects.py

jwcook23/mssql_dataframe

ba7191e1b159a0b1292bf6825fcdf1fe5ce7c496

[ "MIT" ]

null

tests/test_core/test_write/test_update_adjust_sql_objects.py

jwcook23/mssql_dataframe

ba7191e1b159a0b1292bf6825fcdf1fe5ce7c496

[ "MIT" ]

18

2021-08-05T19:29:25.000Z

2022-03-02T16:08:08.000Z

tests/test_core/test_write/test_update_adjust_sql_objects.py

jwcook23/mssql_dataframe

ba7191e1b159a0b1292bf6825fcdf1fe5ce7c496

[ "MIT" ]

1

2022-02-08T09:14:56.000Z

import warnings import pytest import pandas as pd from mssql_dataframe.connect import connect from mssql_dataframe.core import custom_warnings, custom_errors, create, conversion from mssql_dataframe.core.write import update pd.options.mode.chained_assignment = "raise" class package: def __init__(self, connection): self.connection = connection.connection self.create = create.create(self.connection) self.update = update.update(self.connection, autoadjust_sql_objects=True) self.update_meta = update.update(self.connection, include_metadata_timestamps=True, autoadjust_sql_objects=True) @pytest.fixture(scope="module") def sql(): db = connect(database="tempdb", server="localhost") yield package(db) db.connection.close() def test_update_create_table(sql): """Updating a table that doesn't exist should always raise an error, even if autoadjust_sql_objects=True.""" table_name = "##test_update_create_table" dataframe = pd.DataFrame({"_pk": [0, 1], "ColumnA": [1, 2]}).set_index(keys="_pk") with pytest.raises(custom_errors.SQLTableDoesNotExist): sql.update.update(table_name, dataframe) def test_update_add_column(sql): table_name = "##test_update_add_column" dataframe = pd.DataFrame({"ColumnA": [1, 2]}) with warnings.catch_warnings(record=True) as warn: dataframe = sql.create.table_from_dataframe(table_name, dataframe, primary_key="index") assert len(warn) == 1 assert isinstance(warn[0].message, custom_warnings.SQLObjectAdjustment) assert "Created table" in str(warn[0].message) # update using the SQL primary key that came from the dataframe's index dataframe["NewColumn"] = [3, 4] with warnings.catch_warnings(record=True) as warn: updated = sql.update_meta.update(table_name, dataframe[["NewColumn"]]) dataframe["NewColumn"] = updated["NewColumn"] assert len(warn) == 2 assert all([isinstance(x.message, custom_warnings.SQLObjectAdjustment) for x in warn]) assert ( str(warn[0].message) == f"Creating column _time_update in table {table_name} with data type DATETIME2." ) assert ( str(warn[1].message) == f"Creating column NewColumn in table {table_name} with data type tinyint." ) schema,_ = conversion.get_schema(sql.connection, table_name) result = conversion.read_values( f"SELECT * FROM {table_name}", schema, sql.connection ) assert result[dataframe.columns].equals(dataframe) assert result["_time_update"].notna().all() def test_update_alter_column(sql): table_name = "##test_update_alter_column" dataframe = pd.DataFrame( {"ColumnA": [1, 2], "ColumnB": ["a", "b"], "ColumnC": [0, 0]} ) with warnings.catch_warnings(record=True) as warn: sql.create.table_from_dataframe(table_name, dataframe, primary_key=None) assert len(warn) == 1 assert isinstance(warn[0].message, custom_warnings.SQLObjectAdjustment) assert "Created table" in str(warn[0].message) # update using ColumnA dataframe["ColumnB"] = ["aaa", "bbb"] dataframe["ColumnC"] = [256, 256] with warnings.catch_warnings(record=True) as warn: updated = sql.update_meta.update( table_name, dataframe, match_columns=["ColumnA"] ) dataframe[["ColumnB", "ColumnC"]] = updated[["ColumnB", "ColumnC"]] assert len(warn) == 3 assert all([isinstance(x.message, custom_warnings.SQLObjectAdjustment) for x in warn]) assert ( str(warn[0].message) == f"Creating column _time_update in table {table_name} with data type DATETIME2." ) assert ( str(warn[1].message) == f"Altering column ColumnB in table {table_name} to data type varchar(3) with is_nullable=False." ) assert ( str(warn[2].message) == f"Altering column ColumnC in table {table_name} to data type smallint with is_nullable=False." ) schema,_ = conversion.get_schema(sql.connection, table_name) result = conversion.read_values( f"SELECT * FROM {table_name}", schema, sql.connection ) assert result[dataframe.columns].equals(dataframe) assert result["_time_update"].notna().all() def test_update_add_and_alter_column(sql): table_name = "##test_update_add_and_alter_column" dataframe = pd.DataFrame({"ColumnA": [1, 2], "ColumnB": ["a", "b"]}) with warnings.catch_warnings(record=True) as warn: dataframe = sql.create.table_from_dataframe(table_name, dataframe, primary_key="index") assert len(warn) == 1 assert isinstance(warn[0].message, custom_warnings.SQLObjectAdjustment) assert "Created table" in str(warn[0].message) # update using the SQL primary key that came from the dataframe's index dataframe["ColumnB"] = ["aaa", "bbb"] dataframe["NewColumn"] = [3, 4] with warnings.catch_warnings(record=True) as warn: updated = sql.update_meta.update( table_name, dataframe[["ColumnB", "NewColumn"]] ) dataframe[["ColumnB", "NewColumn"]] = updated[["ColumnB", "NewColumn"]] assert len(warn) == 3 assert all([isinstance(x.message, custom_warnings.SQLObjectAdjustment) for x in warn]) assert ( str(warn[0].message) == f"Creating column _time_update in table {table_name} with data type DATETIME2." ) assert ( str(warn[1].message) == f"Creating column NewColumn in table {table_name} with data type tinyint." ) assert ( str(warn[2].message) == f"Altering column ColumnB in table {table_name} to data type varchar(3) with is_nullable=False." ) schema,_ = conversion.get_schema(sql.connection, table_name) result = conversion.read_values( f"SELECT * FROM {table_name}", schema, sql.connection ) assert result[dataframe.columns].equals(dataframe) assert result["_time_update"].notna().all()

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2bbb0d15c7983a6788c619d85e5295f4ae1e6780

234

py

Python

accounts/admin.py

talhaibnmahmud/django-crm

63a286c241ee3cb221267431c6688a073190bdea

[ "MIT" ]

null

accounts/admin.py

talhaibnmahmud/django-crm

63a286c241ee3cb221267431c6688a073190bdea

[ "MIT" ]

null

accounts/admin.py

talhaibnmahmud/django-crm

63a286c241ee3cb221267431c6688a073190bdea

[ "MIT" ]

null

from django.contrib import admin from accounts.models import Customer, Product, Tag, Order # Register your models here. admin.site.register(Customer) admin.site.register(Tag) admin.site.register(Product) admin.site.register(Order)

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920d220eaef13b58c5d160b0601892892c7bd348

55

py

Python

buildcdf/__init__.py

barsand/buildcdf

053f132babb6bc965457cbbab09e57d5dd9311b4

[ "MIT" ]

2

2020-04-26T15:22:16.000Z

2021-04-09T05:16:56.000Z

buildcdf/__init__.py

barsand/buildcdf

053f132babb6bc965457cbbab09e57d5dd9311b4

[ "MIT" ]

null

buildcdf/__init__.py

barsand/buildcdf

053f132babb6bc965457cbbab09e57d5dd9311b4

[ "MIT" ]

null

from .buildcdf import buildcdf __all__ = ['buildcdf']

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null

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920f422e7a3723a1b788ce9bf468898e9466b7c3

849

py

Python

tests/conftest.py

gugu/py_zipkin

f48ffeb8bb15608209b6eef449dac9a42246fe75

[ "Apache-2.0" ]

null

tests/conftest.py

gugu/py_zipkin

f48ffeb8bb15608209b6eef449dac9a42246fe75

[ "Apache-2.0" ]

null

tests/conftest.py

gugu/py_zipkin

f48ffeb8bb15608209b6eef449dac9a42246fe75

[ "Apache-2.0" ]

null

import pytest from py_zipkin.zipkin import ZipkinAttrs from py_zipkin.transport import BaseTransportHandler @pytest.fixture def zipkin_attributes(): return { 'trace_id': '17133d482ba4f605', 'span_id': '27133d482ba4f605', 'parent_span_id': '37133d482ba4f605', 'flags': '45', } @pytest.fixture def sampled_zipkin_attr(zipkin_attributes): return ZipkinAttrs(is_sampled=True, **zipkin_attributes) @pytest.fixture def unsampled_zipkin_attr(zipkin_attributes): return ZipkinAttrs(is_sampled=False, **zipkin_attributes) class MockTransportHandler(BaseTransportHandler): def __init__(self, max_payload_bytes=None): self.max_payload_bytes = max_payload_bytes def send(self, payload): return payload def get_max_payload_bytes(self): return self.max_payload_bytes

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92104f101c35e8a63ac68fa72eb6cce228699124

98

py

Python

output/models/ms_data/regex/basic_latin_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/ms_data/regex/basic_latin_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/ms_data/regex/basic_latin_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.ms_data.regex.basic_latin_xsd.basic_latin import Doc __all__ = [ "Doc", ]

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1

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null

0

3

9212626a0175b79ef0d7ccda4bdd4cacc00db003

1,432

py

Python

glance/api/v1/filters.py

cloudbau/glance

616b097c052f5bf59b05326ed1d2d1ae1c703dc9

[ "Apache-2.0" ]

1

2018-05-03T03:52:39.000Z

glance/api/v1/filters.py

cloudbau/glance

616b097c052f5bf59b05326ed1d2d1ae1c703dc9

[ "Apache-2.0" ]

null

glance/api/v1/filters.py

cloudbau/glance

616b097c052f5bf59b05326ed1d2d1ae1c703dc9

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2012, Piston Cloud Computing, Inc. # 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. def validate(filter, value): return FILTER_FUNCTIONS.get(filter, lambda v: True)(value) def validate_int_in_range(min=0, max=None): def _validator(v): try: if max is None: return min <= int(v) return min <= int(v) <= max except ValueError: return False return _validator def validate_boolean(v): return v.lower() in ('none', 'true', 'false', '1', '0') FILTER_FUNCTIONS = {'size_max': validate_int_in_range(), # build validator 'size_min': validate_int_in_range(), # build validator 'min_ram': validate_int_in_range(), # build validator 'protected': validate_boolean, 'is_public': validate_boolean, }

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null

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null

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1

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3

921803981b1cc1365e69b10737ce3280fb008b29

197

py

Python

queue-based-ingestion/python-cdk/app.py

sumitdeshpande/serverless-samples

2ca37f103f0a0b27d8e623d4cf5a4f214e25d615

[ "MIT-0" ]

null

queue-based-ingestion/python-cdk/app.py

sumitdeshpande/serverless-samples

2ca37f103f0a0b27d8e623d4cf5a4f214e25d615

[ "MIT-0" ]

null

queue-based-ingestion/python-cdk/app.py

sumitdeshpande/serverless-samples

2ca37f103f0a0b27d8e623d4cf5a4f214e25d615

[ "MIT-0" ]

null

#!/usr/bin/env python3 from aws_cdk import App from api_sqs_ingestion.api_sqs_ingestion_stack import ApiSqsIngestionStack app = App() ApiSqsLambdaStack(app, "ApiSqsIngestionStack") app.synth()

17.909091

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a6202af5fa86d958696fb2502daa509ded35af47

358

py

Python

vision-plugins/src/bsmu/vision/plugins/visualizers/registry.py

IvanKosik/vision

74603d4b727e6d993b562eb4656952e29173323e

[ "BSD-3-Clause" ]

2

2019-10-15T11:34:17.000Z

2021-02-03T10:46:07.000Z

vision-plugins/src/bsmu/vision/plugins/visualizers/registry.py

IvanKosik/vision

74603d4b727e6d993b562eb4656952e29173323e

[ "BSD-3-Clause" ]

null

vision-plugins/src/bsmu/vision/plugins/visualizers/registry.py

IvanKosik/vision

74603d4b727e6d993b562eb4656952e29173323e

[ "BSD-3-Clause" ]

null

from __future__ import annotations from bsmu.vision.core.plugins.processor.registry import ProcessorRegistryPlugin, ProcessorRegistry from bsmu.vision.plugins.visualizers.base import DataVisualizerPlugin class DataVisualizerRegistryPlugin(ProcessorRegistryPlugin): def __init__(self): super().__init__(ProcessorRegistry, DataVisualizerPlugin)

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a624d7856288b9390143598e21203f937c65ced6

499

py

Python

tutorials/pyprjs/01-app-pydeps/repo_pydeps/pydeps/test_pydeps.py

ydzvulon/metacicd

55e666475263265fa7e7bc82168c5c1ad78cd9bf

[ "MIT" ]

null

tutorials/pyprjs/01-app-pydeps/repo_pydeps/pydeps/test_pydeps.py

ydzvulon/metacicd

55e666475263265fa7e7bc82168c5c1ad78cd9bf

[ "MIT" ]

1

2020-04-25T15:30:37.000Z

tutorials/pyprjs/01-app-pydeps/repo_pydeps/pydeps/test_pydeps.py

ydzvulon/metacicd

55e666475263265fa7e7bc82168c5c1ad78cd9bf

[ "MIT" ]

3

2020-04-28T16:10:29.000Z

2021-05-30T15:14:38.000Z

import pydeps def assert_getpass_is_loaded(report): loaded = report['modules.loaded.list'] assert ('getpass', '') in loaded, \ f'Missing module getpass. Not found in list of {len(loaded)} modules' print(f"Success found getpass in list of {len(loaded)} modules") def assert_pip_report(report): assert 'requests' in report['pip_freeze_loaded'] def test__pydeps__analize(): report = pydeps.analize() assert_getpass_is_loaded(report) assert_pip_report(report)

24.95

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a6357fe19ee06ff7bb0af39c816850665bacc18d

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py

Python

13 Djikstra, Bellman-Ford/tests.py

XuuRee/python-data-structures

a3972f5781d666d15d61c0d474877880d1b7c483

[ "MIT" ]

null

13 Djikstra, Bellman-Ford/tests.py

XuuRee/python-data-structures

a3972f5781d666d15d61c0d474877880d1b7c483

[ "MIT" ]

null

13 Djikstra, Bellman-Ford/tests.py

XuuRee/python-data-structures

a3972f5781d666d15d61c0d474877880d1b7c483

[ "MIT" ]

null

print() print("-- RELATIONS ------------------------------") print() print("GRAPH 1:\n0 0 0\n0 0 0\n0 0 0") g1 = Graph(3) print("REFLEXIVITA: " + str(is_reflexive(g1)) + " -> spravna odpoved: False") print("SYMETRIE: " + str(is_symmetric(g1)) + " -> spravna odpoved: True") print("ANTISYMETRIE: " + str(is_antisymmetric(g1)) + " -> spravna odpoved: True") print("TRANZITIVITA: " + str(is_transitive(g1)) + " -> spravna odpoved: True") print("-------------------------------------------") print("GRAPH 2:\n1 0 0\n0 1 0\n0 0 1") g2 = Graph(3) g2.matrix[0][0] = True g2.matrix[1][1] = True g2.matrix[2][2] = True print("REFLEXIVITA: " + str(is_reflexive(g2)) + " -> spravna odpoved: True") print("SYMETRIE: " + str(is_symmetric(g2)) + " -> spravna odpoved: True") print("ANTISYMETRIE: " + str(is_antisymmetric(g2)) + " -> spravna odpoved: False") print("TRANZITIVITA: " + str(is_transitive(g2)) + " -> spravna odpoved: True") print("- GOOD GRAPHS -----------------------------") print("GRAPH 3:\n0 0 0\n0 1 0\n0 1 1") g3 = Graph(3) g3.matrix[1][1] = True g3.matrix[2][1] = True g3.matrix[2][2] = True print("REFLEXIVITA: " + str(is_reflexive(g3)) + " -> spravna odpoved: False") print("SYMETRIE: " + str(is_symmetric(g3)) + " -> spravna odpoved: False") print("ANTISYMETRIE: " + str(is_antisymmetric(g3)) + " -> spravna odpoved: True") print("TRANZITIVITA: " + str(is_transitive(g3)) + " -> spravna odpoved: True") print("-------------------------------------------") print("GRAPH 4:\n0 1 1\n0 1 1\n0 0 1") g4 = Graph(3) g4.matrix[0][1] = True g4.matrix[0][2] = True g4.matrix[1][1] = True g4.matrix[1][2] = True g4.matrix[2][2] = True print("REFLEXIVITA: " + str(is_reflexive(g4)) + " -> spravna odpoved: False") print("SYMETRIE: " + str(is_symmetric(g4)) + " -> spravna odpoved: False") print("ANTISYMETRIE: " + str(is_antisymmetric(g4)) + " -> spravna odpoved: True") print("TRANZITIVITA: " + str(is_transitive(g4)) + " -> spravna odpoved: True") print("-------------------------------------------") print("GRAPH 5:\n1 0 0\n0 0 0\n1 0 0") g5 = Graph(3) g5.matrix[0][0] = True g5.matrix[2][0] = True print("REFLEXIVITA: " + str(is_reflexive(g5)) + " -> spravna odpoved: False") print("SYMETRIE: " + str(is_symmetric(g5)) + " -> spravna odpoved: False") print("ANTISYMETRIE: " + str(is_antisymmetric(g5)) + " -> spravna odpoved: True") print("TRANZITIVITA: " + str(is_transitive(g5)) + " -> spravna odpoved: True") print("-------------------------------------------") print("GRAPH 6:\n1 0 0\n1 1 0\n0 1 1") g6 = Graph(3) g6.matrix[0][0] = True g6.matrix[1][0] = True g6.matrix[1][1] = True g6.matrix[2][1] = True g6.matrix[2][2] = True print("REFLEXIVITA: " + str(is_reflexive(g6)) + " -> spravna odpoved: True") print("SYMETRIE: " + str(is_symmetric(g6)) + " -> spravna odpoved: False") print("ANTISYMETRIE: " + str(is_antisymmetric(g6)) + " -> spravna odpoved: True") print("TRANZITIVITA: " + str(is_transitive(g6)) + " -> spravna odpoved: False") print() print("- TRANSITIVE CLOSURE -------------------------") print() print("GRAPH 7:\n1 0 0\n1 1 0\n0 1 1") g7 = Graph(3) g7.matrix[0][0] = True g7.matrix[1][0] = True g7.matrix[1][1] = True g7.matrix[2][1] = True g7.matrix[2][2] = True print("TRANZITIVITA: " + str(is_transitive(g7)) + " -> spravna odpoved: False") transitive_closure(g7) print(str(g7.matrix)) print("TRANZITIVITA: " + str(is_transitive(g7)) + " -> spravna odpoved: True")

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null

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1

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null

0

1

0

3

a636d43a0fec32694a7489bd173c2fcb7500315f

4,289

py

Python

beancount_chase/credit_test.py

mtlynch/beancount-chase

fbad7c3b28dcb4ddbc39109e97d0b0accae115de

[ "MIT" ]

1

2022-03-28T17:39:47.000Z

beancount_chase/credit_test.py

mtlynch/beancount-chase-bank

fe168306b2855732a111fbef79657f8f4dc506cc

[ "MIT" ]

1

2022-02-06T16:41:18.000Z

beancount_chase/credit_test.py

mtlynch/beancount-chase

fbad7c3b28dcb4ddbc39109e97d0b0accae115de

[ "MIT" ]

1

2022-02-14T18:31:19.000Z

import io import textwrap import pytest # NOQA, pylint: disable=unused-import from beancount.ingest import extract from . import CreditImporter def _unindent(indented): return textwrap.dedent(indented).lstrip() def _stringify_directives(directives): f = io.StringIO() extract.print_extracted_entries(directives, f) return f.getvalue() def test_identifies_chase_credit_file(tmp_path): chase_file = tmp_path / 'Chase1234_Activity20210103_20210202_20210214.CSV' chase_file.write_text( _unindent(""" Card,Transaction Date,Post Date,Description,Category,Type,Amount,Memo 1234,01/06/2021,01/07/2021,AMZN Mktp US,Shopping,Sale,-20.54, """)) with chase_file.open() as f: assert CreditImporter(account='Liabilities:Credit-Cards:Chase', lastfour='1234').identify(f) def test_extracts_spend(tmp_path): chase_file = tmp_path / 'Chase1234_Activity20210103_20210202_20210214.CSV' chase_file.write_text( _unindent(""" Card,Transaction Date,Post Date,Description,Category,Type,Amount,Memo 1234,10/29/2021,10/31/2021,GOOGLE *CLOUD_02BB66-C,Professional Services,Sale,-25.35, """)) with chase_file.open() as f: directives = CreditImporter(account='Liabilities:Credit-Cards:Chase', lastfour='1234').extract(f) assert _unindent(""" 2021-10-29 * "Google *Cloud_02bb66-C" Liabilities:Credit-Cards:Chase -25.35 USD """.rstrip()) == _stringify_directives(directives).strip() def test_extracts_spend_with_matching_transaction(tmp_path): chase_file = tmp_path / 'Chase1234_Activity20210103_20210202_20210214.CSV' chase_file.write_text( _unindent(""" Card,Transaction Date,Post Date,Description,Category,Type,Amount,Memo 1234,10/29/2021,10/31/2021,GOOGLE *CLOUD_02BB66-C,Professional Services,Sale,-25.35, """)) with chase_file.open() as f: directives = CreditImporter( account='Liabilities:Credit-Cards:Chase', lastfour='1234', account_patterns=[ ('Google.*Cloud', 'Expenses:Cloud-Services:Google-Cloud-Platform'), ]).extract(f) assert _unindent(""" 2021-10-29 * "Google *Cloud_02bb66-C" Liabilities:Credit-Cards:Chase -25.35 USD Expenses:Cloud-Services:Google-Cloud-Platform 25.35 USD """.rstrip()) == _stringify_directives(directives).strip() def test_extracts_refund(tmp_path): chase_file = tmp_path / 'Chase1234_Activity20210103_20210202_20210214.CSV' chase_file.write_text( _unindent(""" Card,Transaction Date,Post Date,Description,Category,Type,Amount,Memo 1234,01/06/2021,01/07/2021,AMZN Mktp US,Shopping,Return,413.54, """)) with chase_file.open() as f: directives = CreditImporter(account='Liabilities:Credit-Cards:Chase', lastfour='1234').extract(f) assert _unindent(""" 2021-01-06 * "AMZN MKTP US" Liabilities:Credit-Cards:Chase 413.54 USD """.rstrip()) == _stringify_directives(directives).strip() def test_extracts_payment(tmp_path): chase_file = tmp_path / 'Chase1234_Activity20210103_20210202_20210214.CSV' chase_file.write_text( _unindent(""" Card,Transaction Date,Post Date,Description,Category,Type,Amount,Memo 1234,11/04/2021,11/04/2021,Payment Thank You - Web,,Payment,4000.00, """)) with chase_file.open() as f: directives = CreditImporter(account='Liabilities:Credit-Cards:Chase', lastfour='1234', account_patterns=[ ('Payment Thank You', 'Assets:Checking:Bank-of-America') ]).extract(f) assert _unindent(""" 2021-11-04 * "Payment Thank You - Web" Liabilities:Credit-Cards:Chase 4000.00 USD Assets:Checking:Bank-of-America -4000.00 USD """.rstrip()) == _stringify_directives(directives).strip()

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null

0

1

0

1

0

null

0

3

a63d00ee650a1d10b4dce57a08abafdbc779a5e5

1,246

py

Python

hw2/utils.py

david-joy/bmi203-hw2

8e16b57d43b3332bb1ea50f9546e8353b166d9cc

[ "Apache-2.0" ]

null

hw2/utils.py

david-joy/bmi203-hw2

8e16b57d43b3332bb1ea50f9546e8353b166d9cc

[ "Apache-2.0" ]

null

hw2/utils.py

david-joy/bmi203-hw2

8e16b57d43b3332bb1ea50f9546e8353b166d9cc

[ "Apache-2.0" ]

null

# Some utility classes to represent a PDB structure class Atom: """ A simple class for an amino acid residue """ def __init__(self, type): self.type = type self.coords = (0.0, 0.0, 0.0) # Overload the __repr__ operator to make printing simpler. def __repr__(self): return self.type class Residue: """ A simple class for an amino acid residue """ def __init__(self, type, number): self.type = type self.number = number self.atoms = [] # Overload the __repr__ operator to make printing simpler. def __repr__(self): return "{0} {1}".format(self.type, self.number) @property def alpha_carbon(self): """ Lookup the atom representing the alpha carbon """ for atom in self.atoms: if atom.type in ('CA', 'CA A', 'C A'): return atom # Le sad: no alpha carbon found print(self.atoms) return None class ActiveSite: """ A simple class for an active site """ def __init__(self, name): self.name = name self.residues = [] # Overload the __repr__ operator to make printing simpler. def __repr__(self): return self.name

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null

0

null

0

1

0

1

0

3

a663efc7ca59f23de2d7d0feb4893910e3366e63

2,733

py

Python

ex35_punypy/punypy/productions.py

techieguy007/learn-more-python-the-hard-way-solutions

7886c860f69d69739a41d6490b8dc3fa777f227b

[ "Zed", "Unlicense" ]

466

2016-11-01T19:40:59.000Z

2022-03-23T16:34:13.000Z

ex35_punypy/punypy/productions.py

Desperaaado/learn-more-python-the-hard-way-solutions

7886c860f69d69739a41d6490b8dc3fa777f227b

[ "Zed", "Unlicense" ]

2

2017-09-20T09:01:53.000Z

2017-09-21T15:03:56.000Z

ex35_punypy/punypy/productions.py

Desperaaado/learn-more-python-the-hard-way-solutions

7886c860f69d69739a41d6490b8dc3fa777f227b

[ "Zed", "Unlicense" ]

241

2017-06-17T08:02:26.000Z

2022-03-30T09:09:39.000Z

class Production(object): def analyze(self, world): """Implement your analyzer here.""" def interpret(self, world): """Implement your interpreter here.""" class FuncCall(Production): def __init__(self, token, params): self.name = token[1] self.params = params self.token = token def analyze(self, world): self.params.analyze(world) def interpret(self, world): funcdef = world.functions[self.name] funcdef.call(world, self.params) def __repr__(self): return f"FuncCall({self.name}: {self.params})" class Parameters(Production): def __init__(self, expressions): self.expressions = expressions def analyze(self, world): for expr in self.expressions: expr.analyze(world) def interpret(self, world): return [x.interpret(world) for x in self.expressions] def __repr__(self): return f"Parameters({self.expressions})" class Expr(Production): pass class NameExpr(Expr): def __init__(self, token): self.name = token[1] self.token = token def interpret(self, world): # This should point at an IntExpr for now ref = world.variables.get(self.name) return ref.interpret(world) def __repr__(self): return f"NameExpr({self.name})" class IntExpr(Expr): def __init__(self, token): self.integer = int(token[1]) self.token = token def __repr__(self): return f"IntExpr({self.integer})" def interpret(self, world): return self.integer class AddExpr(Expr): def __init__(self, left, right): self.left = left self.right = right def analyze(self, world): self.left.analyze(world) self.right.analyze(world) def interpret(self, world): return self.left.interpret(world) + self.right.interpret(world) def __repr__(self): return f"AddExpr({self.left}, {self.right})" class FuncDef(Production): def __init__(self, token, params, body): self.name = token[1] self.params = params self.body = body self.token = token def analyze(self, world): world.functions[self.name] = self def __repr__(self): return f"FuncDef({self.name}({self.params}): {self.body}" def call(self, world, params): params = params or Parameters() scope = world.clone() for i, p in enumerate(self.params.expressions): scope.variables[p.name] = params.expressions[i] for line in self.body: line.interpret(scope) class PrintFuncDef(Production): def call(self, world, params): print(*params.interpret(world))

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0

null

0

null

0

1

0

1

0

3

a68a820f9d6c0a4cbdd2883e53d8274f7823b84d

902

py

Python

block_kit_builder/blocks.py

iflores12/slack-block-formatter

4c7b2dbd80eb80bab7a22600fcf913edd3be4686

[ "MIT" ]

null

block_kit_builder/blocks.py

iflores12/slack-block-formatter

4c7b2dbd80eb80bab7a22600fcf913edd3be4686

[ "MIT" ]

null

block_kit_builder/blocks.py

iflores12/slack-block-formatter

4c7b2dbd80eb80bab7a22600fcf913edd3be4686

[ "MIT" ]

null

from dataclasses import dataclass from .composition import Text from typing import List, Any @dataclass class Section: type: str = 'section' text: Text = None block_id: str = None fields: List[Text] = None accessory: str = None @dataclass class Divider: type: str = 'divider' block_id: str = None @dataclass class Image: type: str = 'image' image_url: str = None alt_text: str = None title: Text = None block_id: str = None @dataclass class Actions: type: str elements: str block_id: str = None @dataclass class Context: type: str elements: List[Any] block_id: str = None @dataclass class Input: type: str label: Text elements: Any block_id: str = None hint: Text = None optional: bool = None @dataclass class File: type: str external_id: str source: str block_id: str = None

15.033333

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0.640798

120

902

4.733333

0.283333

0.123239

0.172535

0.320423

0.25

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0.279379

902

59

34

15.288136

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0

0.4

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0

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true

0

0.066667

0

0.844444

0

null

0

1

0

null

0

1

0

1

0

3

a6929cb46db6feedcc168686f7228663611ccd6a

369

py

Python

src/einsteinpy/symbolic/__init__.py

arnav257/einsteinpy

ccf08bb5b5ba7869fbf87c6cf1337532232549cd

[ "MIT" ]

null

src/einsteinpy/symbolic/__init__.py

arnav257/einsteinpy

ccf08bb5b5ba7869fbf87c6cf1337532232549cd

[ "MIT" ]

null

src/einsteinpy/symbolic/__init__.py

arnav257/einsteinpy

ccf08bb5b5ba7869fbf87c6cf1337532232549cd

[ "MIT" ]

null

from .christoffel import ChristoffelSymbols from .einstein import EinsteinTensor from .metric import MetricTensor from .ricci import RicciScalar, RicciTensor from .riemann import RiemannCurvatureTensor from .stress_energy_momentum import StressEnergyMomentumTensor from .tensor import Tensor from .vacuum_metrics import SchwarzschildMetric from .weyl import WeylTensor

36.9

62

0.872629

40

369

7.975

0.575

0

0.100271

369

9

63

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0.960843

0

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true

0

1

0

1

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null

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1

0

null

0

1

0

1

0

3

a6e0b81cf13ea677c9a4ee45bcc08d0f326589b3

5,219

py

Python

tests/test_message_parse.py

500-Error/weixin-SDK

d646ff34c58ca6a03ed6b08fb7c2b0c0fe244863

[ "MIT" ]

1

2017-12-01T11:17:22.000Z

tests/test_message_parse.py

500-Error/weixin-SDK

d646ff34c58ca6a03ed6b08fb7c2b0c0fe244863

[ "MIT" ]

null

tests/test_message_parse.py

500-Error/weixin-SDK

d646ff34c58ca6a03ed6b08fb7c2b0c0fe244863

[ "MIT" ]

1

2019-03-29T16:59:11.000Z

# encoding=utf-8 from weixin.parse import * def test_text_msg(): print('test_text_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[text]]></MsgType> <Content><![CDATA[你好]]></Content> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'text' assert msg.Content == '你好' def test_image_msg(): print('test_image_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[image]]></MsgType> <PicUrl><![CDATA[url]]></PicUrl> <MediaId><![CDATA[media_id]]></MediaId> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'image' assert msg.PicUrl == 'url' assert msg.MediaId == 'media_id' def test_voice_msg(): print('test_voice_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[voice]]></MsgType> <MediaId><![CDATA[media_id]]></MediaId> <Format><![CDATA[Format]]></Format> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'voice' assert msg.MediaId == 'media_id' assert msg.Format == 'Format' def test_video_msg(): print('test_video_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[video]]></MsgType> <MediaId><![CDATA[media_id]]></MediaId> <ThumbMediaId><![CDATA[thumb_media_id]]></ThumbMediaId> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'video' assert msg.MediaId == 'media_id' assert msg.ThumbMediaId == 'thumb_media_id' def test_shortvideo_msg(): print('test_shortvideo_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[shortvideo]]></MsgType> <MediaId><![CDATA[media_id]]></MediaId> <ThumbMediaId><![CDATA[thumb_media_id]]></ThumbMediaId> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'shortvideo' assert msg.MediaId == 'media_id' assert msg.ThumbMediaId == 'thumb_media_id' def test_location_msg(): print('test_location_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[location]]></MsgType> <Location_X>23.134521</Location_X> <Location_Y>113.358803</Location_Y> <Scale>20</Scale> <Label><![CDATA[位置信息]]></Label> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'location' assert msg.Location_X == '23.134521' assert msg.Location_Y == '113.358803' assert msg.Scale == '20' assert msg.Label == '位置信息' def test_link_msg(): print('test_link_msg') xml = """<xml> <ToUserName><![CDATA[toUser]]></ToUserName> <FromUserName><![CDATA[fromUser]]></FromUserName> <CreateTime>123456789</CreateTime> <MsgType><![CDATA[link]]></MsgType> <Title><![CDATA[公众平台官网链接]]></Title> <Description><![CDATA[公众平台官网链接]]></Description> <Url><![CDATA[url]]></Url> <MsgId>123456789</MsgId> </xml> """ msg = WeixinMsg(xml) assert msg.ToUserName == 'toUser' assert msg.FromUserName == 'fromUser' assert msg.CreateTime == '123456789' assert msg.MsgId == '123456789' assert msg.MsgType == 'link' assert msg.Title == '公众平台官网链接' assert msg.Description == '公众平台官网链接' assert msg.Url == 'url' if __name__ == "__main__": test_text_msg() test_image_msg() test_voice_msg() test_video_msg() test_shortvideo_msg() test_location_msg() test_link_msg()

28.210811

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0

null

0

1

0

1

0

null

0

3

a6e3f601632d30b9897d54d51d250163a209f423

150

py

Python

hymusic/__init__.py

frostming/hymusic

82b1cff4e242a54a78fa495483949ab272268288

[ "MIT" ]

1

2022-03-20T19:32:23.000Z

hymusic/__init__.py

frostming/hymusic

82b1cff4e242a54a78fa495483949ab272268288

[ "MIT" ]

null

hymusic/__init__.py

frostming/hymusic

82b1cff4e242a54a78fa495483949ab272268288

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .sources.netease import NeteaseCloud from .sources.qqmusic import QQMusic netease = NeteaseCloud() qqmusic = QQMusic()

18.75

41

0.733333

17

150

6.470588

0.529412

0.2

0

0.007752

0.14

150

7

42

21.428571

0.844961

0.14

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

a6f0a587a036585eaaed60331de15fddecf07c54

690

py

Python

qvapay/v1/__init__.py

lugodev/qvapay-python

6a530933ca8252fc95ab4cdacec0ff142618bcb4

[ "MIT" ]

15

2021-08-28T12:45:30.000Z

2022-02-09T23:41:43.000Z

qvapay/v1/__init__.py

lugodev/qvapay-python

6a530933ca8252fc95ab4cdacec0ff142618bcb4

[ "MIT" ]

11

2021-08-30T20:30:37.000Z

2021-10-31T18:05:41.000Z

qvapay/v1/__init__.py

leynier/qvapay-python

6a530933ca8252fc95ab4cdacec0ff142618bcb4

[ "MIT" ]

6

2021-08-28T22:22:08.000Z

2022-03-07T19:53:09.000Z

from ._async.client import AsyncQvaPayClient # noqa: F401 from ._sync.client import SyncQvaPayClient # noqa: F401 from .auth import QvaPayAuth # noqa: F401 from .errors import QvaPayError # noqa: F401 from .models.info import Info # noqa: F401 from .models.invoice import Invoice # noqa: F401 from .models.owner import Owner # noqa: F401 from .models.paginated_transactions import PaginatedTransactions # noqa: F401 from .models.paid_by import PaidBy # noqa: F401 from .models.transaction import Transaction # noqa: F401 from .models.transaction_detail import TransactionDetail # noqa: F401 __version__ = "0.3.0" __author__ = "Carlos Lugones <contact@lugodev.com>" __all__ = []

43.125

78

0.772464

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690

5.797753

0.404494

0.170543

0.232558

0.244186

0.112403

0

0.061017

0.144928

690

15

79

46

0.813559

0.173913

0

0.073477

0.037634

0

1

0

false

0

0.785714

0

0.785714

0

null

0

1

0

null

0

1

0

3

47117bdea2dc297e22209e49d84d12d93d524593

202

py

Python

danceschool/prerequisites/urls.py

benjwrdill/django-danceschool

9ecb2754502e62d0f49aa23d08ca6de6cae3c99a

[ "BSD-3-Clause" ]

1

2019-02-04T02:11:32.000Z

danceschool/prerequisites/urls.py

benjwrdill/django-danceschool

9ecb2754502e62d0f49aa23d08ca6de6cae3c99a

[ "BSD-3-Clause" ]

2

2019-03-26T22:37:49.000Z

2019-12-02T15:39:35.000Z

danceschool/prerequisites/urls.py

benjwrdill/django-danceschool

9ecb2754502e62d0f49aa23d08ca6de6cae3c99a

[ "BSD-3-Clause" ]

1

2019-03-19T22:49:01.000Z

from django.conf.urls import url from .ajax import CustomerRequirementAjaxView urlpatterns = [ url(r'^customer/$', CustomerRequirementAjaxView.as_view(), name='customerRequirementAjax'), ]

25.25

96

0.752475

19

202

7.947368

0.789474

0

0.138614

202

7

97

28.857143

0.867816

0

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0.117949

0

1

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false

0

0.4

0

0.4

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1

0

null

0

1

0

null

0

1

0

3

471f90b782ab38c51b6756ed575c5b8f946510de

553

py

Python

Traingle_quest.py

Sandeep6262/Logical-questions-in-python

2923a615622090fdb23699c7301d44c2975fec36

[ "MIT" ]

null

Traingle_quest.py

Sandeep6262/Logical-questions-in-python

2923a615622090fdb23699c7301d44c2975fec36

[ "MIT" ]

null

Traingle_quest.py

Sandeep6262/Logical-questions-in-python

2923a615622090fdb23699c7301d44c2975fec36

[ "MIT" ]

null

# qution 1 # 1 # 1 1 # 1 2 1 # 1 2 3 1 # 1 2 3 4 1 # 1 2 3 4 5 1 # user=int(raw_input("Input any number ")) # for i in range(user): # a = i+1 # for j in range(1,a): # print j, # print 1 # Qution 2 kackrang # 1 # 1 2 1 # 1 2 3 2 1 # 1 2 3 4 3 2 1 # 1 2 3 4 5 4 3 2 1 # 1 2 3 4 5 6 5 4 3 2 1 # 1 2 3 4 5 6 7 6 5 4 3 2 1 # 1 2 3 4 5 6 7 8 7 6 5 4 3 2 1 user = int(raw_input("Input any number ")) for i in range(1,user): c='' for j in range(1,i+1): b=j c=str(b)+c print b, for k in range(1,len(c)): print c[k], print ''

12.860465

43

0.511754

155

553

1.812903

0.180645

0.099644

0.117438

0.128114

0.661922

0.558719

0.537367

0.448399

0.419929

0

0.26257

0.352622

553

42

44

13.166667

0.522346

0.573237

0

0.085308

0

null

0

null

0.3

0

1

null

0

1

0

null

0

1

0

3

472cbda9777dc451c5b3e146486eda8376bf108b

979

py

Python

materia/api/models/User.py

flaviogragnolati/materia_api

38c32a4a7e9683be2c635180ec1f855a605c2c03

[ "MIT" ]

null

materia/api/models/User.py

flaviogragnolati/materia_api

38c32a4a7e9683be2c635180ec1f855a605c2c03

[ "MIT" ]

null

materia/api/models/User.py

flaviogragnolati/materia_api

38c32a4a7e9683be2c635180ec1f855a605c2c03

[ "MIT" ]

null

from django.db import models class User(models.Model): """Model definition for User.""" # TODO: Define fields here name = models.CharField(max_length=50) dob = models.DateField('date of birth', auto_now=False, auto_now_add=False) email = models.EmailField('user email', max_length=254) phone = models.CharField(max_length=50) date_joined = models.DateField(auto_now=False, auto_now_add=True) last_login = models.DateField(auto_now=False, auto_now_add=False) modified_at = models.DateField(auto_now=True, auto_now_add=False) class Meta: """Meta definition for User.""" verbose_name = 'User' verbose_name_plural = 'Users' def __str__(self): """Unicode representation of User.""" pass def save(self): """Save method for User.""" pass def get_absolute_url(self): """Return absolute url for User.""" return ('') # TODO: Define custom methods here

27.971429

79

0.656793

128

979

4.8125

0.4375

0.090909

0.064935

0.077922

0.256494

0.172078

0.12013

0

0.009259

0.227783

979

34

80

28.794118

0.805556

0.199183

0

0.111111

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0.042272

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1

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false

0.111111

0.055556

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0.777778

0

null

0

null

0

1

0

1

0

1

0

3

47327c104dccd95c6e4809268091c565928541ba

407

py

Python

pyskyqremote/country/const_deu.py

RogerSelwyn/pyskyqremote

e3bd11617b7529aa0920ad789ba7699169424c05

[ "MIT" ]

null

pyskyqremote/country/const_deu.py

RogerSelwyn/pyskyqremote

e3bd11617b7529aa0920ad789ba7699169424c05

[ "MIT" ]

null

pyskyqremote/country/const_deu.py

RogerSelwyn/pyskyqremote

e3bd11617b7529aa0920ad789ba7699169424c05

[ "MIT" ]

null

"""Constants for pyskyqremote- DE.""" SCHEDULE_URL = "https://www.sky.de/sgtvg/service/getBroadcasts" LIVE_IMAGE_URL = "https://www.sky.de{0}" PVR_IMAGE_URL = "https://www.sky.de{0}" CHANNEL_IMAGE_URL = "https://www.sky.de{0}" TIMEZONE = "Europe/Berlin" CHANNEL_URL = "https://raw.githubusercontent.com/RogerSelwyn/skyq_remote/master/pyskyqremote/country/channels-de.json" # pylint: disable=line-too-long

45.222222

151

0.751843

60

407

4.95

0.583333

0.13468

0.148148

0.188552

0.276094

0.222222

0

0.007895

0.066339

407

8

152

50.875

0.773684

0.152334

0

0.166667

0.660767

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

3

5b2733f552c9898d36e19c5ece5a6aab98ad4f8e

675

py

Python

ml_toolkit/deep_learning/pytorch/optim/optimizer/ranger/ranger_lars.py

TSPereira/support_toolkit

d9b0488d69dccc38b73cd67ea33f4f53983cf77f

[ "MIT" ]

4

2021-01-05T14:03:54.000Z

2021-01-29T14:48:09.000Z

ml_toolkit/deep_learning/pytorch/optim/optimizer/ranger/ranger_lars.py

TSPereira/support_toolkit

d9b0488d69dccc38b73cd67ea33f4f53983cf77f

[ "MIT" ]

null

ml_toolkit/deep_learning/pytorch/optim/optimizer/ranger/ranger_lars.py

TSPereira/support_toolkit

d9b0488d69dccc38b73cd67ea33f4f53983cf77f

[ "MIT" ]

null

from ..lookahead import make_lookahead_optimizer from ..ralamb import Ralamb def RangerLars(params, alpha=0.5, k=6, *args, **kwargs): """ RAdam + LARS + LookAHead Lookahead implementation from https://github.com/lonePatient/lookahead_pytorch/blob/master/optimizer.py RAdam + LARS implementation from https://gist.github.com/redknightlois/c4023d393eb8f92bb44b2ab582d7ec20 :param params: net parameters :param alpha: lookahead alpha parameter :param k: lookahead k parameter :param args: args for RaLamb :param kwargs: kwargs for RaLamb :return: """ return make_lookahead_optimizer(Ralamb(params, *args, **kwargs), alpha, k)

33.75

107

0.733333

81

675

6.049383

0.444444

0.053061

0.089796

0

0.039216

0.168889

675

19

108

35.526316

0.834225

0.602963

0

1

0.25

false

0

0.5

0

1

0

null

0

null

0

1

0

1

0

1

0

3

5b89559c3eb2ab5cec560961eb6cc0d57c9ff2c8

250

py

Python

Python/Strings/StringFormatting.py

devansh-pratap-singh/hackerrank-solutions

227817d90846424cd3078e60b225eb201e906cf9

[ "MIT" ]

1

2020-10-15T14:03:52.000Z

Python/Strings/StringFormatting.py

devansh-pratap-singh/HackerRank-Solutions

227817d90846424cd3078e60b225eb201e906cf9

[ "MIT" ]

null

Python/Strings/StringFormatting.py

devansh-pratap-singh/HackerRank-Solutions

227817d90846424cd3078e60b225eb201e906cf9

[ "MIT" ]

null

def print_formatted(N): width = len(bin(N)[2:]) for i in range(1, N + 1): print(' '.join(map(lambda x: x.rjust(width), [str(i), oct(i)[2:], hex(i)[2:].upper(), bin(i)[2:]]))) if __name__ == '__main__': n = int(input()) print_formatted(n)

31.25

104

0.572

45

250

2.955556

0.6

0.045113

0.225564

0

0.028571

0.16

250

8

105

31.25

0.604762

0

0.035857

0

1

0.142857

false

0

0.142857

0.428571

0

null

0

1

0

1

0

null

0

1

0

3

5bb100e3b46f5ada40199134e6fad21387eee28d

349

py

Python

pyseus/formats/__init__.py

impergator493/PySeus

faa7e5741acea9c3b8e0acad066905fa3b1c301b

[ "X11" ]

2

2020-02-17T09:20:50.000Z

2022-03-22T13:05:22.000Z

pyseus/formats/__init__.py

impergator493/PySeus

faa7e5741acea9c3b8e0acad066905fa3b1c301b

[ "X11" ]

null

pyseus/formats/__init__.py

impergator493/PySeus

faa7e5741acea9c3b8e0acad066905fa3b1c301b

[ "X11" ]

1

2021-05-26T08:14:58.000Z

"""Formats model different data sources (file formats). All formats extend the *BaseFormat* class, guaranteeing basic functionality of checking files, loading scan pixeldata and metadata. """ from .base import BaseFormat, LoadError from .raw import Raw from .numpy import NumPy from .h5 import H5 from .dicom import DICOM from .nifti import NIfTI

26.846154

75

0.790831

49

349

5.632653

0.632653

0

0.006734

0.148997

349

12

76

29.083333

0.922559

0.530086

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

5bc374d21ff3cf020f0eb6933ee39b3c2bafaad7

4,661

py

Python

Aula_27/exercicios/geradorlista.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

Aula_27/exercicios/geradorlista.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

Aula_27/exercicios/geradorlista.py

Mateus-Silva11/AulasPython

d34dc4f62ade438e68b0a80e0baac4d6ec0d378e

[ "MIT" ]

null

import random def lista_simples_int_str(numero_objetos = int(random.randint(5,100))): ''' Retorna lista randômica, pura, composta de string ou inteiros, variando de 5 a 100 itens. ''' tipo_lista = int(random.randint(0,1)) if tipo_lista == 0: lista = lista_simples_str(numero_objetos) else: lista = lista_simples_int(numero_objetos) return lista def lista_simples_inpura_int_str(numero_objetos = int(random.randint(5,100))): ''' Retorna lista randômica, impura, composta de string, inteiros ou alfanúmerica, variando de 5 a 100 itens. ''' tipo_lista = int(random.randint(0,2)) if tipo_lista == 0: lista = lista_simples_str(numero_objetos) elif tipo_lista == 1: lista = lista_simples_impura(numero_objetos) else: lista = lista_simples_int(numero_objetos) return lista def lista_simples_int(numero_objetos = int(random.randint(5,100))): ''' Retorna uma lista randômica com inteiros contendo de 5 a 100 itens. ''' lista = [] for i in range(numero_objetos): lista.append(int(random.randint(1,1000))) return lista def lista_simples_str(numero_objetos = int(random.randint(5,100))): ''' Retorna uma lista randômica com string, de 1 a 10 caracteres, contendo de 5 a 100 itens. Os caracteres podem ser minusculos ou maiusculos. ''' lista_alfabetica = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] lista = [] for i in range(numero_objetos): letra = '' for i in range(int(random.randint(1,10))): char = random.choice(lista_alfabetica) if int(random.randint(0,1)) == 1: letra = letra + char.upper() else: letra = letra + char lista.append(letra) return lista def lista_simples_impura(numero_objetos = int(random.randint(5,100))): ''' Retorna uma lista randômica com alfanumérica, de 1 a 10 caracteres, numeros de 0 a 1000, contendo de 5 a 100 itens. Os caracteres podem ser minusculos ou maiusculos. ''' lista_alfabetica = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] lista = [] for i in range(numero_objetos): letra = '' if int(random.randint(0,1)) == 0: lista.append(random.randint(0,1000)) else: for i in range(int(random.randint(1,10))): char = random.choice(lista_alfabetica) if int(random.randint(0,1)) == 0: letra = letra + char.upper() else: letra = letra + char lista.append(letra) return lista def lista_lista_int(): pass def embaralhar(numero=3,numero_objetos=30,lista_return=None): ''' Cria uma lista contendo várias listas, inteiras com 30 itens. Ela irá copiar estas listas e embaralhar de forma que não se sabe se as listas são as mesmas ou são somente iguais! ''' lista = [] lista1 = [] lista2 = [] for i in range(numero): lista1.append(lista_simples_int(numero_objetos)) for i in lista1: lista2.append(i.copy()) lista1.extend(lista2) # quntas listas deve ser retornadas! if lista_return == None: for i in lista1: lista.append(random.choice(lista1)) else: for i in range(lista_return): lista.append(random.choice(lista1)) return lista def embaralhar_int_str_hard(numero=3,numero_objetos=30): ''' Cria uma lista contendo várias listas, inteiras, string ou alfanunéricas com vários itens. Ela irá copiar estas listas e embaralhar de forma que não se sabe se as listas são as mesmas ou são somente iguais! ''' lista = [] lista1 = [] lista2 = [] for i in range(numero): lista1.append(lista_simples_inpura_int_str(numero_objetos)) for i in lista1: lista2.append(i.copy()) lista1.extend(lista2) multiplicador = random.randint(1,25) for i in range(len(lista1) * multiplicador): lista.append(random.choice(lista1)) return lista def binario (numero_objetos=8): lista = [] for i in range(numero_objetos): lista.append(random.randint(0,1)) return lista

32.368056

109

0.576915

617

4,661

4.252836

0.199352

0.094131

0.079268

0.041921

0.825838

0.739329

0.731707

0.685976

0.627287

0.595655

0

0.038415

0.296288

4,661

144

110

32.368056

0.761585

0.212615

0

0.694737

0

0.017519

0

1

0.094737

false

0.010526

0

0.189474

0

null

0

1

0

null

0

3

5bc77bb41d5d6822fc6a6123ae42dd56f93e5867

770

py

Python

gaia-sdk-python/gaia_sdk/api/client_options.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

null

gaia-sdk-python/gaia_sdk/api/client_options.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

10

2019-11-14T07:55:47.000Z

2022-02-26T19:36:45.000Z

gaia-sdk-python/gaia_sdk/api/client_options.py

leftshiftone/gaia-sdk

7e0d1ce054fada8ae154da70b71e8a90347c9f97

[ "MIT" ]

2

2020-05-12T11:09:53.000Z

2020-12-25T14:03:04.000Z

from typing import Any from typing import Dict class ClientOptions: """ This class stores the credentials (JWT or HMAC-ApiKey&SecretKey tuple) used by the transporter implementation to establish a connection to G.A.I.A. """ def __init__(self, credentials, content_type="application/json", request_parameters={}): self.credentials = credentials self.content_type = content_type self.request_parameters = request_parameters def with_content_type(self, content_type: str): return ClientOptions(self.credentials, content_type, self.request_parameters) def with_request_parameters(self, request_parameters: Dict[str, Any]): return ClientOptions(self.credentials, self.content_type, request_parameters)

36.666667

113

0.746753

94

770

5.904255

0.414894

0.138739

0.081081

0.093694

0.115315

0

0.176623

770

20

114

38.5

0.875394

0.190909

0

0.026534

0

1

0.272727

false

0

0.181818

0.727273

0

null

0

null

0

1

0

1

0

3

5bc842bce283a817cf89df111262d6c19d3d4b5d

38

py

Python

csv-extractor/__init__.py

kozhevnykov/datapoints-csv-extractor

b7d61891fa440be909eac8886f8c3406725beaba

[ "Apache-2.0" ]

2

2020-08-29T08:52:57.000Z

2020-10-22T11:36:32.000Z

csv-extractor/__init__.py

kozhevnykov/datapoints-csv-extractor

b7d61891fa440be909eac8886f8c3406725beaba

[ "Apache-2.0" ]

9

2019-03-27T00:27:45.000Z

2021-04-30T20:52:04.000Z

csv-extractor/__init__.py

kozhevnykov/datapoints-csv-extractor

b7d61891fa440be909eac8886f8c3406725beaba

[ "Apache-2.0" ]

1

2020-02-17T15:28:52.000Z

# coding: utf-8 __version__ = "0.3.2"

12.666667

21

0.631579

7

38

2.857143

1

0

0.125

0.157895

38

2

22

19

0.5

0.342105

0

0.217391

0

1

0

false

0

1

0

null

0

1

0

null

0

3

5bea143e2899835872cc4de41ba78e2ad3e98927

650

py

Python

tests/test_autocorrect.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

3

2020-10-07T18:28:12.000Z

2020-10-09T15:24:53.000Z

tests/test_autocorrect.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

15

2020-10-09T15:23:03.000Z

2020-10-29T04:34:17.000Z

tests/test_autocorrect.py

snoopyjc/ssf

b995cae0e90d38e3758d4944fb144831f9bae0a5

[ "Apache-2.0" ]

null

from ssf import SSF ssf = SSF() def test_autocorrect_format(): assert ssf.format('0E0', 1e2) == '1E+2' assert ssf.format('0e0', 1e2) == '1E+2' assert ssf.format('0.E-0', 1e2) == '1.E2' assert ssf.format('0.e-0', 1e2) == '1.E2' assert ssf.format('"e"0e0', 1e2) == 'e1E+2' assert ssf.format('E', 1) == '1900' assert ssf.format(r'\EE', 1) == 'E1900' assert ssf.format('#.##,,', 1E7) == '10.' assert ssf.format('#.,##,', 1E7) == '10.' assert ssf.format('ShortDate', 1) == ssf.format('Short Date', 1) assert ssf.format('longDate', 1) == ssf.format('Long Date', 1) assert ssf.format('.m,m,', 1) == '1.1,1,'

38.235294

68

0.556923

102

650

3.529412

0.284314

0.35

0.5

0.133333

0.572222

0.461111

0.308333

0

0.106061

0.187692

650

16

69

40.625

0.575758

0

0.186154

0

0.8

1

0.066667

false

0

0.066667

0

0.133333

0

null

1

0

null

0

1

0

3

750af3673b6d8c7cb15ddc10de391596cce604ee

212

py

Python

003/euler003 - Test5 timeout.py

MayankAgarwal/euler_py

4cf32879f8f7746af6ba31b87b7d4f20a0c91f3f

[ "MIT" ]

null

003/euler003 - Test5 timeout.py

MayankAgarwal/euler_py

4cf32879f8f7746af6ba31b87b7d4f20a0c91f3f

[ "MIT" ]

null

003/euler003 - Test5 timeout.py

MayankAgarwal/euler_py

4cf32879f8f7746af6ba31b87b7d4f20a0c91f3f

[ "MIT" ]

null

tests = int(raw_input().strip()) for test in xrange(tests): N = int(raw_input().strip()) a = 2 while N != 1: if N%a == 0: N = N/a else: a += 1 print a

13.25

32

0.419811

32

212

2.71875

0.5625

0.137931

0.252874

0.367816

0

0.033058

0.429245

212

16

33

13.25

0.68595

0

null

0

null

0.1

0

null

0

1

0

null

0

1

0

3

75218c0396ed0af6f8bad5690c8c712d6d68be43

400

py

Python

classer/models/base.py

alexdelin/model-lab

37182fdadc3e369a1ad6d4dce23162ec2d3aa566

[ "MIT" ]

1

2019-04-20T14:58:25.000Z

classer/models/base.py

alexdelin/model-lab

37182fdadc3e369a1ad6d4dce23162ec2d3aa566

[ "MIT" ]

null

classer/models/base.py

alexdelin/model-lab

37182fdadc3e369a1ad6d4dce23162ec2d3aa566

[ "MIT" ]

null

""" Base Model Class """ from ..steps.base import BaseStep class BaseModel(BaseStep): """Base Model class extended for implementing text classification models""" def __init__(self): super(BaseModel, self).__init__() def train(): raise NotImplementedError('This is only a base class') def process(): raise NotImplementedError('This is only a base class')

21.052632

79

0.6775

47

400

5.595745

0.553191

0.068441

0.106464

0.228137

0.334601

0

0.22

400

18

80

22.222222

0.842949

0.215

0

0.25

0

0.166113

0

1

0.375

false

0

0.125

0

0.625

0

null

0

1

0

null

0

1

0

1

0

3

754f683fc1e4d4b5c77866f6a39faf0ef9a0e26b

831

py

Python

3D-Geometry/3D Transformations.py

vinixhenri/AUTONAVx

f5e71bfd08648fc558f19d619bb23b816beeae61

[ "MIT" ]

null

3D-Geometry/3D Transformations.py

vinixhenri/AUTONAVx

f5e71bfd08648fc558f19d619bb23b816beeae61

[ "MIT" ]

null

3D-Geometry/3D Transformations.py

vinixhenri/AUTONAVx

f5e71bfd08648fc558f19d619bb23b816beeae61

[ "MIT" ]

null

import numpy as np class Pose3D: def __init__(self, rotation, translation): self.rotation = rotation self.translation = translation def inv(self): inv_rotation = self.rotation.transpose() inv_translation = -np.dot(inv_rotation, self.translation) return Pose3D(inv_rotation, inv_translation) def __mul__(self, other): return Pose3D(np.dot(self.rotation, other.rotation), np.dot(self.rotation, other.translation) + self.translation) def __str__(self): return "rotation:\n" + str(self.rotation) + "\ntranslation:\n" + str(self.translation.transpose()) def compute_quadrotor_pose(global_marker_pose, observed_marker_pose): global_quadrotor_pose = global_marker_pose * observed_marker_pose.inv() return global_quadrotor_pose

34.625

121

0.697954

98

831

5.602041

0.265306

0.131148

0.083789

0.061931

0.251366

0.17122

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0.004532

0.203369

831

23

122

36.130435

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0

0.032491

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0.3125

false

0

0.0625

0.125

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0

null

0

null

0

1

0

1

0

3

7552c694cd7603a4eaf9b16153ebc88976d0d6ec

222

py

Python

utils/config.py

billchenchina/mooc-dl

a85e0ff81dec6b9e6a7b23f1d606424508c73ed2

[ "MIT" ]

9

2018-08-09T11:14:56.000Z

2019-02-18T14:11:30.000Z

utils/config.py

cattidea/subtitle-location

9587a8ebd0b03ffeff7a61ad95b6326ba51e701a

[ "MIT" ]

1

2019-12-17T02:27:52.000Z

2019-12-17T02:28:25.000Z

utils/config.py

cattidea/subtitle-location

9587a8ebd0b03ffeff7a61ad95b6326ba51e701a

[ "MIT" ]

2

2018-07-18T09:23:36.000Z

2019-02-25T03:36:36.000Z

import json class Config(dict): PATH = "config.json" def __init__(self): with open(Config.PATH, 'r', encoding="utf8") as f: self._jObject = json.load(f) super().__init__(self._jObject)

24.666667

58

0.603604

29

222

4.275862

0.655172

0.129032

0

0.006024

0.252252

222

8

59

27.75

0.740964

0

0.072072

0

1

0.142857

false

0

0.142857

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

3

f32cb8920217499d89c1762dcff081cdb7dff0f1

436

py

Python

test_import.py

Deesthortered/MetaprogrammingLab2

b168160fcea7efb71e7291365af9ebe1e519557a

[ "Apache-2.0" ]

null

test_import.py

Deesthortered/MetaprogrammingLab2

b168160fcea7efb71e7291365af9ebe1e519557a

[ "Apache-2.0" ]

1

2019-12-01T19:46:17.000Z

2019-12-01T21:00:37.000Z

test_import.py

Deesthortered/MetaprogrammingLab2

b168160fcea7efb71e7291365af9ebe1e519557a

[ "Apache-2.0" ]

null

import tensorflow .keras . activations , gvno\ . jopa . ibanaz, pzda, joo import io, email from tensorflow\ . keras import activations , applications import backcall\ . hiu from kukarek.kokoko import pud, pu, dah import it. was . joke import numpy as \ np, mailbox\ as mb from tensorflow.keras \ import layers as kuku,\ applications as \ app

25.647059

49

0.58945

49

436

5.244898

0.632653

0.175097

0.14786

0.194553

0

0.348624

436

16

50

27.25

0.90493

0

1

0

true

0

0.5

0

0.5

0

null

0

1

0

null

0

1

0

1

0

3

f3420d1dca368f4baabcb5f61288c3d9007d5f2f

569

py

Python

ManejoArchivos/Vehiculo.py

manu9812/programming-oriented-objets

650e22c8129299d69a4b3fc8722f861603a0302f

[ "Apache-2.0" ]

null

ManejoArchivos/Vehiculo.py

manu9812/programming-oriented-objets

650e22c8129299d69a4b3fc8722f861603a0302f

[ "Apache-2.0" ]

null

ManejoArchivos/Vehiculo.py

manu9812/programming-oriented-objets

650e22c8129299d69a4b3fc8722f861603a0302f

[ "Apache-2.0" ]

null

#Autor Manuela Garcia Monsalve # 28 septiembre 2018 #Esta es la super clase Vehiculo donde se encuentran los atributos de marca, modelo y color que seran #heredados para las subclases class Vehiculo(): def __init__(self,marca,color, modelo): #Se generan los atributos para poder ser heredados self.marca = marca self.color = color self.modelo = modelo def Prender(self): #Metodo prender vehiculo pass def Arrancar(self):#Metodo arrancar vehiculo pass def Apagar(self):#Metodo apagar vehiculo pass

23.708333

101

0.695958

75

569

5.226667

0.546667

0.076531

0

0.013986

0.246046

569

23

102

24.73913

0.899767

0.516696

0

0.272727

0

0.043478

0

1

0.363636

false

0.272727

0

0.454545

0

null

0

null

0

1

0

1

0

1

0

3

f346cea527285edd0919196eef59c70a07340874

175

py

Python

Hello_Python/square.py

JaydenYL/Projects

b51c0476f7be80f0b0d6aa84592966ecb4343d76

[ "MIT" ]

5

2021-09-06T04:27:56.000Z

2021-12-14T14:50:27.000Z

Hello_Python/square.py

JaydenYL/Projects

b51c0476f7be80f0b0d6aa84592966ecb4343d76

[ "MIT" ]

null

Hello_Python/square.py

JaydenYL/Projects

b51c0476f7be80f0b0d6aa84592966ecb4343d76

[ "MIT" ]

null

import math for i in range(10001): x = int(math.sqrt(i + 100)) y = int(math.sqrt(i + 268)) if (( x * x == i + 100) and ( y * y == i + 268)): print(x,y,i)

21.875

53

0.474286

33

175

2.515152

0.484848

0.168675

0.26506

0.289157

0

0.142857

0.32

175

7

54

25

0.554622

0

1

0

false

0

0.166667

0

0.166667

0

null

0

1

0

1

0

null

0

3

f355555f44df69e9289a7f1288ecf470ecb1629f

196

py

Python

examples/create_new_document.py

13751742405/photoshop-python-api

5fe9b46dd2b2b4e2e1e6ef99a68d68b4fc032a70

[ "MIT" ]

null

examples/create_new_document.py

13751742405/photoshop-python-api

5fe9b46dd2b2b4e2e1e6ef99a68d68b4fc032a70

[ "MIT" ]

null

examples/create_new_document.py

13751742405/photoshop-python-api

5fe9b46dd2b2b4e2e1e6ef99a68d68b4fc032a70

[ "MIT" ]

null

"""Create a new document.""" from photoshop import Session with Session() as ps: ps.app.preferences.rulerUnits = ps.Units.Pixels ps.app.documents.add(1920, 1080, name="my_new_document")

24.5

60

0.72449

29

196

4.827586

0.758621

0.157143

0

0.047619

0.142857

196

7

61

28

0.785714

0.112245

0

0.089286

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

f36a50b1109f61788a72cbdfe3d00e451ba74f3a

1,697

py

Python

test-unit/PythonToJavascript/converters_test/TupleConverter_test.py

stoogoff/python-to-javascript

4349b09b15ada544501e7091c7ff1574487e7598

[ "MIT" ]

1

2021-11-19T09:56:41.000Z

test-unit/PythonToJavascript/converters_test/TupleConverter_test.py

stoogoff/python-to-javascript

4349b09b15ada544501e7091c7ff1574487e7598

[ "MIT" ]

2

2022-02-25T23:11:27.000Z

2022-03-04T10:22:14.000Z

test-unit/PythonToJavascript/converters_test/TupleConverter_test.py

stoogoff/python-to-javascript

4349b09b15ada544501e7091c7ff1574487e7598

[ "MIT" ]

4

2021-05-06T19:03:19.000Z

2022-03-06T13:52:30.000Z

from utils import parseSource, nodesToString, nodesToLines, dumpNodes, dumpTree from converters import TupleConverter def test_TupleGather_01(): src = """ l = ( 1, 2, 3 ) """ matches = TupleConverter().gather( parseSource( src ) ) assert matches[ 0 ].contents.toString() == "1, 2, 3" def test_TupleGather_02(): src = """ l = ( 'a', ( 1, 2, 3 ), 'b' ) """ matches = TupleConverter().gather( parseSource( src ) ) assert matches[ 0 ].contents.toString() == "'a', ( 1, 2, 3 ), 'b'" assert matches[ 1 ].contents.toString() == "1, 2, 3" def test_TupleGather_03(): src = """ ( a, b, c ) = func( x, y, z ) """ matches = TupleConverter().gather( parseSource( src ) ) assert matches[ 0 ].contents.toString() == "a, b, c" assert len( matches ) == 1 def test_TupleProcess_01(): src = """ l = ( 1, 2, 3 ) """ nodes = parseSource( src ) cvtr = TupleConverter() matches = cvtr.gather( nodes ) cvtr.processAll( matches ) assert nodesToLines( nodes ) == [ "l = [ 1, 2, 3 ]", ] def test_TupleProcess_02(): src = """ l = ( 'a', ( 1, 2, 3 ), 'b' ) """ nodes = parseSource( src ) cvtr = TupleConverter() matches = cvtr.gather( nodes ) cvtr.processAll( matches ) assert nodesToLines( nodes ) == [ "l = [ 'a', [ 1, 2, 3 ], 'b' ]", ] def test_TupleProcess_03(): src = """ ( a, b, c ) = func( x, y, z ) """ nodes = parseSource( src ) cvtr = TupleConverter() matches = cvtr.gather( nodes ) cvtr.processAll( matches ) assert nodesToLines( nodes ) == [ "[ a, b, c ] = func( x, y, z )", ]

24.594203

79

0.529169

191

1,697

4.638743

0.204188

0.020316

0.030474

0.018059

0.77088

0.755079

0.72912

0.717833

0.62754

0.593679

0

0.036882

0.296995

1,697

68

80

24.955882

0.705784

0

0.654545

0

0.2033

0

0.145455

1

0.109091

false

0

0.036364

0

0.145455

0

null

0

1

0

null

0

3

f390104a9a5b3d0280b3c6731e11ac33ac8ee7d8

383

py

Python

core/models.py

toy-program/friendship-test

cc1c7472964691d178d872fb7faf7aac2ef0b7ae

[ "MIT" ]

null

core/models.py

toy-program/friendship-test

cc1c7472964691d178d872fb7faf7aac2ef0b7ae

[ "MIT" ]

null

core/models.py

toy-program/friendship-test

cc1c7472964691d178d872fb7faf7aac2ef0b7ae

[ "MIT" ]

null

from django.db import models # Create your models here. class Question(models.Model): problem = models.CharField(max_length=100) answer = models.CharField(max_length=100) user = models.ForeignKey('User', on_delete=models.CASCADE, null=True) class User(models.Model): name = models.CharField(max_length=10) friends_scoreboard = models.ManyToManyField('User')

25.533333

73

0.744125

50

383

5.6

0.58

0.160714

0.192857

0.257143

0.192857

0

0.02439

0.143603

383

14

74

27.357143

0.829268

0.062663

0

0.022409

0

1

0

false

0

0.125

0

1

0

null

0

1

0

null

0

1

0

3

f3955ccc0197add1120c8b5c821e792262d2bed3

9,453

py

Python

tonnikala/ir/nodes.py

tetframework/Tonnikala

d69e7c71d323221ad749082c4e653654bd63e819

[ "Apache-2.0" ]

13

2015-11-09T21:11:49.000Z

2021-12-26T20:36:02.000Z

tonnikala/ir/nodes.py

tetframework/Tonnikala

d69e7c71d323221ad749082c4e653654bd63e819

[ "Apache-2.0" ]

3

2016-10-04T19:51:38.000Z

2017-08-28T05:58:39.000Z

tonnikala/ir/nodes.py

tetframework/Tonnikala

d69e7c71d323221ad749082c4e653654bd63e819

[ "Apache-2.0" ]

3

2015-09-06T13:44:43.000Z

2021-01-25T10:04:26.000Z

from tonnikala.helpers import escape from collections import OrderedDict import re class BaseNode(object): position = (None, None) def __repr__(self): return self.__class__.__name__ + '(%s)' % str(self) def validate(self, validator): pass def get_children(self): return [] class Text(BaseNode): is_cdata = False translatable = False def __init__(self, text, is_cdata=False): self.text = text self.is_cdata = is_cdata def __str__(self): # pragma: no cover return self.text def escaped(self): if self.is_cdata: return self.text return escape(self.text) class EmptyAttrVal(BaseNode): is_cdata = False translatable = False def __init__(self): pass def __str__(self): # pragma: no cover return "<empty>" def escaped(self): return "" class TranslatableText(Text): translatable = True def __init__(self, text, is_cdata=False): super(TranslatableText, self).__init__(text, is_cdata=is_cdata) def __str__(self): # pragma: no cover return '_t(%s)' % self.text @property def needs_escape(self): return not self.is_cdata def escaped(self): if self.is_cdata: return self.text return escape(self.text) def escape_comment(text): if text.startswith('>'): text = text.replace('>', '&gt', 1) if text.endswith('-'): text = text[:-1] + '-' return text.replace('--', '--') class Comment(BaseNode): def __init__(self, text): self.text = text def escaped(self): return escape_comment(self.text) def __str__(self): # pragma: no cover return self.text class EscapedText(Text): def __init__(self, string): super(EscapedText, self).__init__(string) def __str__(self): # pragma: no cover return self.text def escaped(self): return self.text class Expression(BaseNode): is_cdata = False def __init__(self, expression): self.expression = expression def __str__(self): # pragma: no cover return self.expression class Code(BaseNode): is_cdata = False def __init__(self, source): self.source = source def __str__(self): # pragma: no cover return self.source class InterpolatedExpression(Expression): def __init__(self, full_string, expression): super(InterpolatedExpression, self).__init__(expression) self.string = full_string class ContainerNode(BaseNode): def __init__(self): self.attributes = OrderedDict() self.children = [] def add_child(self, child): """ Add a child to the tree. Subclasses may raise SyntaxError """ self.children.append(child) def set_attribute(self, name, value): self.attributes[name] = value def __repr__(self): return self.__class__.__name__ + '(%s)' % str(self) def __str__(self): # pragma: no cover return str(self.children) def validate(self, validator): for i in self.children: i.validate(validator) super(ContainerNode, self).validate(validator) class Root(ContainerNode): pass class MutableAttribute(ContainerNode): def __init__(self, name, value): super(MutableAttribute, self).__init__() self.name = name self.value = value self.children.append(value) def __str__(self): # pragma: no cover return str({self.name: self.value}) def get_children(self): return self.children class DynamicAttributes(BaseNode): def __init__(self, expression): super(DynamicAttributes, self).__init__() self.expression = expression def __str__(self): # pragma: no cover return str(self.expression) def get_children(self): return [self.expression] class DynamicText(ContainerNode): def __init__(self): super(DynamicText, self).__init__() pass def __str__(self): # pragma: no cover return str(self.children) class Element(ContainerNode): def __init__(self, name, guard_expression=None): super(Element, self).__init__() self.name = name self.guard_expression = guard_expression self.constant_attributes = OrderedDict() self.mutable_attributes = OrderedDict() self.dynamic_attrs = None def __str__(self): # pragma: no cover attrs = str(self.attributes) children = str(self.children) return ', '.join([self.name, 'guard=%s' % self.guard_expression, attrs, children]) def get_guard_expression(self): return self.guard_expression def set_attribute(self, name, value): if isinstance(value, (Text, EmptyAttrVal)) and not value.translatable: self.constant_attributes[name] = value else: self.mutable_attributes[name] = value self.attributes[name] = value def set_dynamic_attrs(self, expression): self.dynamic_attrs = expression def get_constant_attributes(self): return self.constant_attributes def get_mutable_attributes(self): return self.mutable_attributes class For(ContainerNode): IN_RE = re.compile('\s+in\s+') def __init__(self, expression): super(For, self).__init__() self.expression = expression self.parts = self.IN_RE.split(self.expression, 1) def validate(self, validator): if len(self.parts) != 2: validator.syntax_error( "for does not have proper format: var[, var...] in expression", node=self) super(For, self).validate(validator) def __str__(self): # pragma: no cover children = str(self.children) return ', '.join([("(%s in %s)" % tuple(self.parts)), children]) class Define(ContainerNode): def __init__(self, funcspec): super(Define, self).__init__() self.funcspec = funcspec def __str__(self): # pragma: no cover return ', '.join([self.funcspec, str(self.children)]) class Import(BaseNode): def __init__(self, href, alias): super(Import, self).__init__() self.href = href self.alias = alias def __str__(self): # pragma: no cover return ', '.join([self.href, self.alias]) class If(ContainerNode): def __init__(self, expression): super(If, self).__init__() self.expression = expression def __str__(self): # pragma: no cover children = str(self.children) return ', '.join([("(%s)" % self.expression), children]) class Unless(ContainerNode): def __init__(self, expression): super(Unless, self).__init__() self.expression = expression def __str__(self): # pragma: no cover children = str(self.children) return ', '.join([("(%s)" % self.expression), children]) class Block(ContainerNode): def __init__(self, name): super(Block, self).__init__() self.name = name def __str__(self): # pragma: no cover children = str(self.children) return "%s, %s" % (repr(self.name), children) class With(ContainerNode): def __init__(self, vars): super(With, self).__init__() self.vars = vars def __str__(self): # pragma: no cover children = str(self.children) return "%s, %s" % (repr(self.vars), children) class Extends(ContainerNode): def __init__(self, href): super(Extends, self).__init__() self.href = href def __str__(self): # pragma: no cover children = str(self.children) return ', '.join([("(%s)" % self.expression), children]) def add_child(self, child): """ Add a child to the tree. Extends discards all comments and whitespace Text. On non-whitespace Text, and any other nodes, raise a syntax error. """ if isinstance(child, Comment): return # ignore Text nodes with whitespace-only content if isinstance(child, Text) and not child.text.strip(): return super(Extends, self).add_child(child) def validate(self, validator): for child in self.children: if isinstance(child, Text): validator.syntax_error( "No Text allowed within an Extends block", node=child) if not isinstance(child, (Block, Define, Import)): validator.syntax_error( "Only nodes of type Block, Import or Define " "allowed within an Extends block, not %s" % child.__class__.__name__, child ) super(Extends, self).validate(validator) class IRTree(object): def __init__(self): self.root = None def add_child(self, root): self.root = root def get_root(self): return self.root def __str__(self): # pragma: no cover return repr(self) def __repr__(self): return 'IRTree(%r)' % self.root def __iter__(self): stack = collections.deque() stack.append(self.root) while stack: item = stack.popleft() if hasattr(item, 'children'): stack.extendleft(item.children or []) yield item

24.681462

90

0.609965

1,074

9,453

5.064246

0.135009

0.046332

0.044493

0.061776

0.427284

0.35558

0.303181

0.266225

0.25262

0.206656

0

0.001468

0.279382

9,453

382

91

24.746073

0.796976

0.064001

0

0.416

0

0.03503

0

1

0.284

false

0.016

0.028

0.112

0.612

0

null

0

null

0

1

0

1

0

3

f39c8a118128dc44068482b4965bcc226d20016b

82

py

Python

bob/bio/face/config/annotator/facedetect.py

bioidiap/bob.bio.face

2341e6423ca5a412ebe23fa18acacd69ea1ef914

[ "BSD-3-Clause" ]

4

2016-09-01T13:16:46.000Z

2021-09-03T03:27:18.000Z

bob/bio/face/config/annotator/facedetect.py

bioidiap/bob.bio.face

2341e6423ca5a412ebe23fa18acacd69ea1ef914

[ "BSD-3-Clause" ]

6

2015-09-02T19:31:15.000Z

2016-10-10T21:48:39.000Z

bob/bio/face/config/annotator/facedetect.py

bioidiap/bob.bio.face

2341e6423ca5a412ebe23fa18acacd69ea1ef914

[ "BSD-3-Clause" ]

6

2015-10-07T17:18:48.000Z

2017-07-18T19:41:14.000Z

from bob.bio.face.annotator import BobIpFacedetect annotator = BobIpFacedetect()

20.5

50

0.829268

9

82

7.555556

0.777778

0

0.097561

82

3

51

27.333333

0.918919

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

f3a6d351f8c55e58f180d33294b744dd37af23a9

627

py

Python

music_embedding/__init__.py

PooyaHekmati/music_embedding

20072478c01dc2e433c1393298310213cf8745b6

[ "MIT" ]

19

2021-04-30T11:23:20.000Z

2022-03-21T10:39:21.000Z

music_embedding/__init__.py

PooyaHekmati/music_embedding

20072478c01dc2e433c1393298310213cf8745b6

[ "MIT" ]

1

2021-08-06T04:45:26.000Z

music_embedding/__init__.py

PooyaHekmati/music_embedding

20072478c01dc2e433c1393298310213cf8745b6

[ "MIT" ]

3

2021-04-01T12:47:59.000Z

2022-01-11T09:22:47.000Z

"""A package for representing music data based on music theory. Music Embedding is an open source python package for representing music data based on music theory. It provides tools to convert melodic and harmonic sequences to and from pianorolls. Features -------- - Representation for music intervals - Create sequence of (harmonic or melodic) intervals from pianoroll presentation - Create pianoroll from a sequence of (harmonic or melodic) intervals - Break the sequence of intervals into smaller pieces e.g. bars - Compress the sequence of intervals using Run Length Encoding (RLE) """ from . import interval, embedder

41.8

183

0.791069

89

627

5.573034

0.58427

0.080645

0.08871

0.108871

0.342742

0.197581

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184

41.8

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0

1

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null

0

1

0

1

0

3

f3c3a1f851e226e2bf8b63b8fe8ebb4d55f870dc

133

py

Python

tests/test_import_numpy_ROOT.py

pyhf/pyhf-validation-root-base

337803ae55ab42ecc12dd57436c3afaeb0dec46a

[ "Apache-2.0" ]

1

2020-03-06T16:16:23.000Z

tests/test_import_numpy_ROOT.py

pyhf/pyhf-validation-root-base

337803ae55ab42ecc12dd57436c3afaeb0dec46a

[ "Apache-2.0" ]

6

2020-03-05T01:09:04.000Z

2020-04-10T23:09:37.000Z

tests/test_import_numpy_ROOT.py

pyhf/pyhf-validation-root-base

337803ae55ab42ecc12dd57436c3afaeb0dec46a

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import numpy as np import ROOT def main(): print(np.arange(10)) if __name__ == "__main__": main()

11.083333

26

0.639098

20

133

3.85

0.8

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0.028571

0.210526

133

11

27

12.090909

0.704762

0.157895

0

0.072072

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0.333333

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null

0

null

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1

0

1

0

3

45fa3127d737e1ffe2beb711c2f053bda8b2e9f8

299

py

Python

blatann/gap/__init__.py

eriknyquist/blatann

0c895e3a85a295047b0bdc5c142eb42ed8e36132

[ "BSD-3-Clause" ]

1

2019-06-17T01:12:31.000Z

blatann/gap/__init__.py

eriknyquist/blatann

0c895e3a85a295047b0bdc5c142eb42ed8e36132

[ "BSD-3-Clause" ]

null

blatann/gap/__init__.py

eriknyquist/blatann

0c895e3a85a295047b0bdc5c142eb42ed8e36132

[ "BSD-3-Clause" ]

null

from blatann.nrf.nrf_types import BLEHci as _BLEHci from blatann.gap.smp import SecurityStatus, IoCapabilities, AuthenticationKeyType, SecurityParameters from blatann.gap.scanning import ScanParameters from blatann.gap.advertising import AdvertisingData, AdvertisingFlags HciStatus = _BLEHci

42.714286

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0.849498

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null

0

1

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null

0

1

0

1

0

3

45fbcd12768b4017b52a65ed7d7eb9573bb839aa

4,744

py

Python

janrain/tests/test_api.py

coxmediagroup/django-janrain

5b503edaf3e9eb467946712844766b65c3f750d5

[ "MIT" ]

null

janrain/tests/test_api.py

coxmediagroup/django-janrain

5b503edaf3e9eb467946712844766b65c3f750d5

[ "MIT" ]

null

janrain/tests/test_api.py

coxmediagroup/django-janrain

5b503edaf3e9eb467946712844766b65c3f750d5

[ "MIT" ]

null

import json import mock from unittest2 import TestCase from janrain.api import JanrainClient class MockRequestsJsonResponse(object): def __init__(self, data): self.content = json.dumps(data) class TestAPI(TestCase): def setUp(self): self.client = JanrainClient(client_id=1, client_secret=2, api_url='test_endpoint') self.reqs = mock.Mock() def test__make_request_get(self): self.reqs.get = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): response = self.client._make_request('path') self.assertEqual(len(response.keys()), 1, 'got back our json') self.assertEqual(response['hello'], 'there', 'got back our json') def test__make_request_get_args(self): self.reqs.get = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): self.client._make_request('path', data=dict(ohno='youdidnt')) self.reqs.get.assert_called_with('path', headers=dict(), params=dict(ohno='youdidnt')) def test__make_request_post(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(you='guys'))) with mock.patch('janrain.api.requests', self.reqs): response = self.client._make_request('path', method='post') self.assertEqual(len(response.keys()), 1, 'got back our json') self.assertEqual(response['you'], 'guys', 'got back our json') def test__make_request_post_args(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(you='guys'))) with mock.patch('janrain.api.requests', self.reqs): self.client._make_request('path', method='post', data=dict(ohno='youdidnt')) self.reqs.post.assert_called_with('path', headers=dict(), data=dict(ohno='youdidnt')) def test__make_request_bad_method(self): self.assertRaises(ValueError, self.client._make_request, 'path', method='foobarbaz') def test__make_request_headers(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(you='guys'))) with mock.patch('janrain.api.requests', self.reqs): self.client._make_request('path', method='post', headers=dict(Authorization="oauth"), data=dict(ohno='youdidnt')) self.reqs.post.assert_called_with('path', headers=dict(Authorization="oauth"), data=dict(ohno='youdidnt')) def test_clients_add_no_features(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): resp = self.client.clients_add('description') self.assertEqual(resp['hello'], 'there', 'got back our json') self.reqs.post.assert_called_with('clients/add', headers={}, data=dict( client_id=1, client_secret=2, description='description' )) def test_clients_add_with_features(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): resp = self.client.clients_add('description', ["feature"]) self.assertEqual(resp['hello'], 'there', 'got back our json') self.reqs.post.assert_called_with('clients/add', headers={}, data=dict( client_id=1, client_secret=2, features='["feature"]', description='description' )) def test_settings_set_multi(self): self.reqs.post = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): resp = self.client.settings_set_multi('for_client_id', {'setting': 'value'}) self.assertEqual(resp['hello'], 'there', 'got back our json') self.reqs.post.assert_called_with('settings/set_multi', headers={}, data=dict( client_id=1, client_secret=2, for_client_id='for_client_id', items='{"setting": "value"}', )) def test_clients_list(self): self.reqs.get = mock.Mock(return_value=MockRequestsJsonResponse(dict(hello='there'))) with mock.patch('janrain.api.requests', self.reqs): resp = self.client.clients_list() self.assertEqual(resp['hello'], 'there', 'got back our json') self.reqs.get.assert_called_with('clients/list', headers={}, params=dict( client_id=1, client_secret=2, ))

48.408163

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0.213322

4,744

97

126

48.907216

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null

0

1

0

1

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null

0

3

34023e2ed6d04a37b882b38aa004e82ad1f0ed29

654

py

Python

dfs/edge.py

GeorgEncinas/backtraking

2f5dea16bb8ec4ccd951101d5a69d64d93f1e941

[ "MIT" ]

null

dfs/edge.py

GeorgEncinas/backtraking

2f5dea16bb8ec4ccd951101d5a69d64d93f1e941

[ "MIT" ]

null

dfs/edge.py

GeorgEncinas/backtraking

2f5dea16bb8ec4ccd951101d5a69d64d93f1e941

[ "MIT" ]

null

from vertex import Vertex class Edge(object): def __init__(self, vertex_1, vertex_2, direction): self.weigth = 0 #direction of vertex1 to vertex2 self.direction = direction self.v1 = vertex_1 self.v2 = vertex_2 def get_vertexs(self): return [self.v1, self.v2] def get_weigth(self): return self.weigth def set_weigth(self, weigth_1): self.weigth = weigth_1 def __str__(self): return str(self.__dict__) def __eq__(self, other): answer = None if other is not None: answer = self.__dict__ == other.__dict__ return answer

24.222222

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85

654

4.305882

0.388235

0.10929

0.076503

0

0.028761

0.308869

654

27

55

24.222222

0.780973

0.047401

0

1

0.3

false

0

0.05

0.15

0.6

0

null

0

null

0

1

0

1

0

3

340a434eed8890d10141172cd6c3d40525b37843

215

py

Python

video/serializers.py

scintiller/OnlineJudge

4e66da0e366c8b950a1ccae2b435b81d9fe07e6c

[ "MIT" ]

null

video/serializers.py

scintiller/OnlineJudge

4e66da0e366c8b950a1ccae2b435b81d9fe07e6c

[ "MIT" ]

6

2020-06-05T21:37:42.000Z

2022-01-13T01:19:55.000Z

video/serializers.py

scintiller/OnlineJudge

4e66da0e366c8b950a1ccae2b435b81d9fe07e6c

[ "MIT" ]

null

from rest_framework import serializers from .models import ProblemSolution class ProblemSolutionSerializer(serializers.ModelSerializer): class Meta(): model = ProblemSolution fields = "__all__"

30.714286

61

0.762791

19

215

8.368421

0.736842

0

0.181395

215

7

62

30.714286

0.903409

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0.032407

0

1

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false

0

0.333333

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0.666667

0

1

0

null

0

1

0

null

0

1

0

3

341170887e1f57b81808360bd72477a33ad94126

147

py

Python

codility/lesson-1/BinaryGap.py

juseongkr/BOJ

8f10a2bf9a7d695455493fbe7423347a8b648416

[ "Apache-2.0" ]

7

2020-02-03T10:00:19.000Z

2021-11-16T11:03:57.000Z

codility/lesson-1/BinaryGap.py

juseongkr/Algorithm-training

8f10a2bf9a7d695455493fbe7423347a8b648416

[ "Apache-2.0" ]

1

2021-01-03T06:58:24.000Z

codility/lesson-1/BinaryGap.py

juseongkr/Algorithm-training

8f10a2bf9a7d695455493fbe7423347a8b648416

[ "Apache-2.0" ]

1

2020-01-22T14:34:03.000Z

def solution(N): num = bin(N)[2:].split('1') if len(num[1:-1]) == 0: return 0 return len(max(num[1:-1], key=lambda x: len(x)))

24.5

52

0.510204

28

147

2.678571

0.571429

0.106667

0.133333

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0.072072

0.244898

147

5

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29.4

0.603604

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0.006803

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1

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null

0

1

0

null

0

1

0

3

34313dabea78d42f187f2d19990f3f3b293bb22b

38

py

Python

aaa.py

usha324/python

7aa967b8dac8cd0c466652db448cb7e405821389

[ "bzip2-1.0.6" ]

null

aaa.py

usha324/python

7aa967b8dac8cd0c466652db448cb7e405821389

[ "bzip2-1.0.6" ]

null

aaa.py

usha324/python

7aa967b8dac8cd0c466652db448cb7e405821389

[ "bzip2-1.0.6" ]

null

word = 'Python' word[0] = 'M'

7.6

16

0.421053

5

38

3.2

0.8

0

0.041667

0.368421

38

4

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9.5

0.625

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0.205882

0

1

0

false

0

1

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null

0

1

0

null

0

3

3440ec3258242e2629476c1e466d6ef210d7804a

4,284

py

Python

S4/S4 Library/simulation/situations/complex/single_sim_visitor_situation.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

1

2021-05-20T19:33:37.000Z

S4/S4 Library/simulation/situations/complex/single_sim_visitor_situation.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

S4/S4 Library/simulation/situations/complex/single_sim_visitor_situation.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

from sims4.tuning.instances import lock_instance_tunables from sims4.tuning.tunable import Tunable from sims4.utils import classproperty from situations.ambient.walkby_limiting_tags_mixin import WalkbyLimitingTagsMixin from situations.bouncer.bouncer_types import BouncerExclusivityCategory from situations.situation import Situation from situations.situation_complex import CommonInteractionCompletedSituationState, SituationState, SituationComplexCommon, TunableSituationJobAndRoleState, SituationStateData, CommonSituationState from situations.situation_types import SituationCreationUIOption import services import situations class _HasFrontDoorArrivalState(CommonInteractionCompletedSituationState): def _on_interaction_of_interest_complete(self, **kwargs): self._change_state(self.owner.visit_state()) def timer_expired(self): self._change_state(self.owner.visit_state()) class _HasNoFrontDoorArrivalState(CommonInteractionCompletedSituationState): def _on_interaction_of_interest_complete(self, **kwargs): self._change_state(self.owner.visit_state()) def timer_expired(self): self._change_state(self.owner.visit_state()) class _VisitState(CommonInteractionCompletedSituationState): def _on_interaction_of_interest_complete(self, **kwargs): self._change_state(self.owner.leave_state()) def timer_expired(self): self._change_state(self.owner.leave_state()) class _LeaveState(CommonSituationState): def timer_expired(self): self.owner._self_destruct() class SingleSimVisitorSituation(WalkbyLimitingTagsMixin, SituationComplexCommon): INSTANCE_TUNABLES = {'visitor_job_and_role': TunableSituationJobAndRoleState(description='\n The job and role state for the visitor.\n '), 'has_front_door_arrival_state': _HasFrontDoorArrivalState.TunableFactory(description='\n The arrival state for the visitor if the lot has a front door.\n ', display_name='1. Has Front Door Arrival State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'has_no_front_door_arrival_state': _HasNoFrontDoorArrivalState.TunableFactory(description='\n The arrival state for the visitor if the lot has a front door.\n ', display_name='1. Has No Front Door Arrival State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'visit_state': _VisitState.TunableFactory(description="\n The state for the visitor to interact with the lot and it's owner.\n ", display_name='2. Visit State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP), 'leave_state': _LeaveState.TunableFactory(description='\n The state for the visitor to leave the lot.\n ', display_name='3. Leave State', tuning_group=SituationComplexCommon.SITUATION_STATE_GROUP)} REMOVE_INSTANCE_TUNABLES = Situation.NON_USER_FACING_REMOVE_INSTANCE_TUNABLES @classmethod def _states(cls): return (SituationStateData(1, _HasFrontDoorArrivalState, factory=cls.has_front_door_arrival_state), SituationStateData(2, _HasNoFrontDoorArrivalState, factory=cls.has_no_front_door_arrival_state), SituationStateData(3, _VisitState, factory=cls.visit_state), SituationStateData(4, _LeaveState, factory=cls.leave_state)) @classmethod def _get_tuned_job_and_default_role_state_tuples(cls): return [(cls.visitor_job_and_role.job, cls.visitor_job_and_role.role_state)] @classmethod def default_job(cls): pass def start_situation(self): super().start_situation() if services.get_door_service().has_front_door(): self._change_state(self.has_front_door_arrival_state()) else: self._change_state(self.has_no_front_door_arrival_state()) @classmethod def get_sims_expected_to_be_in_situation(cls): return 1 @property def _should_cancel_leave_interaction_on_premature_removal(self): return True @classproperty def situation_serialization_option(cls): return situations.situation_types.SituationSerializationOption.OPEN_STREETS lock_instance_tunables(SingleSimVisitorSituation, exclusivity=BouncerExclusivityCategory.WALKBY, creation_ui_option=SituationCreationUIOption.NOT_AVAILABLE)

56.368421

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0.178571

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null

0

1

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null

0

1

0

1

0

3

3457c685773603b079cdd7a7826050e8d8fd8839

253

py

Python

brain_games/scripts/brain_progression.py

AABur/python-pip-how-to

96d7f24a1730d7f4cad5de3fc5ed2265df6cfa62

[ "MIT" ]

null

brain_games/scripts/brain_progression.py

AABur/python-pip-how-to

96d7f24a1730d7f4cad5de3fc5ed2265df6cfa62

[ "MIT" ]

null

brain_games/scripts/brain_progression.py

AABur/python-pip-how-to

96d7f24a1730d7f4cad5de3fc5ed2265df6cfa62

[ "MIT" ]

null

#!/usr/bin/env python3 """Progression game script.""" from brain_games.engine import run_game from brain_games.games import progression def main(): """Progression game script.""" run_game(progression) if __name__ == "__main__": main()

15.8125

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1

0

3

34620db067d38b53c0d5b852dcac2f249a56fc11

1,116

py

Python

twelve_step/find_imported_packages/find_imported_packages.py

OLBEA20/twelve-step

ed4747fdee6dba7518f048b5dc4b520a3ba202df

[ "MIT" ]

1

2021-08-10T05:35:08.000Z

twelve_step/find_imported_packages/find_imported_packages.py

OLBEA20/twelve-step

ed4747fdee6dba7518f048b5dc4b520a3ba202df

[ "MIT" ]

1

2021-12-20T00:17:06.000Z

twelve_step/find_imported_packages/find_imported_packages.py

OLBEA20/twelve-step

ed4747fdee6dba7518f048b5dc4b520a3ba202df

[ "MIT" ]

null

from os.path import basename from typing import List, Tuple from jivago_streams import Stream from twelve_step.constants import IMPORT_KEYWORD, FROM_KEYWORD def find_imported_packages_in_imports( file: str, imports: List[str] ) -> Tuple[str, List[str]]: packages = ( Stream(imports) .map(_keep_only_packages_portion_of_import_line) .map(_extract_package) .toList() ) return (file, packages) def _keep_only_packages_portion_of_import_line(import_line: str) -> str: return import_line[ _from_keyword_location_in_line(import_line) : _import_location_in_line( import_line ) ] def _import_location_in_line(import_line: str) -> int: return import_line.index(IMPORT_KEYWORD) def _from_keyword_location_in_line(import_line: str) -> int: return import_line.index(FROM_KEYWORD) + len(FROM_KEYWORD) def _extract_package(from_package: str) -> str: packages = [ package.replace(" ", "") for package in from_package.split(".") if package != "" ] return packages[-2] if len(packages) > 1 else packages[-1]

25.953488

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0.003352

0.198029

1,116

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false

0

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0.103448

0.896552

0

null

0

null

0

1

0

3

346b7b4fb7bd3c2bbec78f5ec34d835ede061385

1,307

py

Python

Codility/divisibility.py

Haroldgm/Python

ab0ae9c69e8b39882468529b73d24952b8725cd1

[ "MIT" ]

null

Codility/divisibility.py

Haroldgm/Python

ab0ae9c69e8b39882468529b73d24952b8725cd1

[ "MIT" ]

null

Codility/divisibility.py

Haroldgm/Python

ab0ae9c69e8b39882468529b73d24952b8725cd1

[ "MIT" ]

null

#Exam def solution(N): if (N > 0) and (N < 1000): #Assume that N is an integer within 1 to 1000 list_of_coded_numbers = [] #List will contain the coded numbers in descending order while N > 0: if (N % 2 == 0) and (N % 3 == 0) and (N % 5 == 0): list_of_coded_numbers.append("CodilityTestCoders") elif (N % 3 == 0) and (N % 5 == 0): list_of_coded_numbers.append("TestCoders") elif (N % 2 == 0) and (N % 5 == 0): list_of_coded_numbers.append("CodilityCoders") elif (N % 2 == 0) and (N % 3 == 0): list_of_coded_numbers.append("CodilityTest") elif (N % 5 == 0): list_of_coded_numbers.append("Coders") elif (N % 3 == 0): list_of_coded_numbers.append("Test") elif (N % 2 == 0): list_of_coded_numbers.append("Codility") else: list_of_coded_numbers.append(N) N -= 1 list_of_coded_numbers.reverse() #Arrange the coded numbers in ascending order for coded_number in list_of_coded_numbers:# Print the coded numbers in each line print(coded_number) if __name__ == '__main__': solution(110)

34.394737

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0.149923

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0

0.038462

0

null

1

0

null

0

3

caa1521810f543ac08c2ae927d6f06bacc19214d

102

py

Python

quiz1/ImportTest.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

1

2021-05-13T13:10:42.000Z

quiz1/ImportTest.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

null

quiz1/ImportTest.py

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

09c17e42c2e173a6ab10339f08fbc1505db8ea56

[ "MIT" ]

null

from ComplexNumberFile import ComplexNumber print(__name__) z1 = ComplexNumber(1, 2) print() print(z1)

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null

0

1

0

3

caa548a98dcbf4564d043b7b06ab190a2cc7c885

17,292

py

Python

tests/modules/directory_search/test_directory_search.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

tests/modules/directory_search/test_directory_search.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

tests/modules/directory_search/test_directory_search.py

rlin0/donut

5672df8e853b4b775d7d50665128b255cd695ec2

[ "MIT" ]

null

""" Tests donut/modules/directory_search/ """ from datetime import date import flask import pytest from donut.testing.fixtures import client from donut import app import donut.modules.core.helpers as core_helpers from donut.modules.directory_search import helpers from donut.modules.directory_search import routes #Helpers def test_hidden_fields(client): user_id = helpers.get_user_id('csander') assert not helpers.get_hidden_fields('csander', user_id) #dqu should see all fields via admin priviledges assert not helpers.get_hidden_fields('dqu', user_id) assert helpers.get_hidden_fields('dtardif', user_id) assert helpers.get_hidden_fields(None, user_id) def test_get_user(client): user_data = helpers.get_user(helpers.get_user_id('csander')) assert user_data == { 'address': None, 'birthday': date(1999, 5, 8), 'building_name': 'Ruddock House', 'city': 'Lincoln', 'country': None, 'email': 'csander@caltech.edu', 'entry_year': 2017, 'first_name': 'Caleb', 'gender': 0, 'gender_custom': 'Male', 'gender_string': 'Male', 'graduation_year': 2021, 'hometown_string': 'Lincoln, MA', 'houses': [{ 'group_name': 'Ruddock House', 'pos_name': 'Full Member' }], 'image': 1, 'last_name': 'Sander', 'middle_name': 'Caldwell', 'msc': 707, 'options': [{ 'option_name': 'CS', 'option_type': 'Major' }, { 'option_name': 'MechE', 'option_type': 'Minor' }], 'phone': '6178003347', 'phone_string': '(617) 800-3347', 'positions': (), 'preferred_name': 'Cleb', 'room': '203', 'state': 'MA', 'uid': '2078141', 'username': 'csander', 'zip': None, 'timezone': None } user_data2 = helpers.get_user(helpers.get_user_id('dqu')) assert user_data2['image'] == 0 assert 'gender_string' not in user_data2 assert not user_data2['hometown_string'] assert 'phone_string' not in user_data2 user_data3 = helpers.get_user(helpers.get_user_id('reng')) assert user_data3['phone_string'] == '+11234567890' assert helpers.get_user(0) is None def test_name_query(client): assert helpers.get_users_by_name_query('ng') == [{ 'full_name': 'Robert Eng', 'user_id': 2, 'graduation_year': None }] assert helpers.get_users_by_name_query('eb cl san r') == [{ 'full_name': 'Cleb Sander', 'user_id': 3, 'graduation_year': 2021 }] assert helpers.get_users_by_name_query('x') == () def test_image(client): user_id = helpers.get_user_id('csander') assert helpers.get_image(user_id) == ('png', b'NOT_A_REAL_IMAGE') core_helpers.set_image(user_id, 'jpg', 'FAKE_JPG') assert helpers.get_image(user_id) == ('jpg', b'FAKE_JPG') with pytest.raises(Exception): helpers.get_image(helpers.get_user_id('dqu')) def test_search(client): assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=None, building_id=None, grad_year=None)) == set([1, 2, 3]) assert set(user['user_id'] for user in helpers.execute_search( email='san', username='', name=None, house_id=None, option_id=None, building_id=None, grad_year=None)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='noone', name=None, house_id=None, option_id=None, building_id=None, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='q', name=None, house_id=None, option_id=None, building_id=None, grad_year=None)) == set([1]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='noone', name=None, house_id=None, option_id=None, building_id=None, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name='ER', house_id=None, option_id=None, building_id=None, grad_year=None)) == set([2, 3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name='abc', house_id=None, option_id=None, building_id=None, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=2, option_id=None, building_id=None, grad_year=None)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=100, option_id=None, building_id=None, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=1, building_id=None, grad_year=None)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=2, building_id=None, grad_year=None)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=100, building_id=None, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=None, building_id=1, grad_year=None)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=None, building_id=10, grad_year=None)) == set() assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=None, building_id=None, grad_year=2021)) == set([3]) assert set(user['user_id'] for user in helpers.execute_search( email='', username='', name=None, house_id=None, option_id=None, building_id=None, grad_year=2020)) == set() def test_value_lists(client): assert helpers.get_houses() == [{ 'group_id': 2, 'group_name': 'Ruddock House' }] assert helpers.get_options() == [{ 'option_id': 1, 'option_name': 'CS' }, { 'option_id': 2, 'option_name': 'MechE' }] assert helpers.get_grad_years() == [2021] def test_preferred_name(client): user_id = helpers.get_user_id('csander') assert core_helpers.get_preferred_name(user_id) == 'Cleb' core_helpers.set_member_field(user_id, 'preferred_name', 'Belac') assert core_helpers.get_preferred_name(user_id) == 'Belac' assert core_helpers.get_preferred_name(helpers.get_user_id('reng')) == '' def test_gender(client): user_id = helpers.get_user_id('csander') assert core_helpers.get_gender(user_id) == 'Male' core_helpers.set_member_field(user_id, 'gender_custom', 'new_gender') assert core_helpers.get_gender(user_id) == 'new_gender' assert core_helpers.get_gender(helpers.get_user_id('dqu')) == '' #Routes def test_search_page(client): assert client.get( flask.url_for('directory_search.directory_search')).status_code == 200 def test_my_page(client): with client.session_transaction() as sess: sess['username'] = 'csander' res = client.get(flask.url_for('core.my_directory_page')) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) def test_view_user(client): assert client.get(flask.url_for('directory_search.view_user', user_id=3)).status_code == 200 assert client.get( flask.url_for('directory_search.view_user', user_id=100)).status_code == 200 def test_edit_page(client): with client.session_transaction() as sess: sess['username'] = 'csander' assert client.get(flask.url_for('core.edit_user')).status_code == 200 def test_set_name(client): with client.session_transaction() as sess: sess['username'] = 'csander' assert helpers.get_user(3)['preferred_name'] == 'Belac' res = client.post(flask.url_for('core.set_name'), data={'name': 'Clb'}) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) assert helpers.get_user(3)['preferred_name'] == 'Clb' def test_set_name(client): with client.session_transaction() as sess: sess['username'] = 'csander' assert helpers.get_user(3)['gender_string'] == 'new_gender' res = client.post( flask.url_for('core.set_gender'), data={'gender': 'Male'}) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) assert helpers.get_user(3)['gender_string'] == 'Male' def test_get_image(client): assert client.get(flask.url_for('directory_search.get_image', user_id=3)).status_code == 200 with pytest.raises(Exception): client.get(flask.url_for('directory_search.get_image', user_id=1)) def test_name_search(client): assert client.get( flask.url_for('directory_search.search_by_name', name_query='sander')).status_code == 200 def test_search(client): res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 200 #3 results res = client.post( flask.url_for('directory_search.search'), data={ 'name': 'san', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '2', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '100', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 200 #no results res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '1', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '100', 'building_id': '', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 200 #no results res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '1', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '100', 'grad_year': '', 'username': '', 'email': '' }) assert res.status_code == 200 #no results res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '2021', 'username': '', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=3) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '2019', 'username': '', 'email': '' }) assert res.status_code == 200 #no results res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': 'qu', 'email': '' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=1) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': 'abc', 'email': '' }) assert res.status_code == 200 #no results res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': 'reng' }) assert res.status_code == 302 assert res.headers['location'] == flask.url_for( 'directory_search.view_user', user_id=2) res = client.post( flask.url_for('directory_search.search'), data={ 'name': '', 'house_id': '', 'option_id': '', 'building_id': '', 'grad_year': '', 'username': '', 'email': 'xyz' }) assert res.status_code == 200 #no results

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17,292

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0.07434

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0

null

0

1

0

1

0

null

0

3

cac4164d75fed7a958810bdf835052472d59a8ef

169

py

Python

files/exercises/command-line-programs-changing-flags.py

mforneris/introduction_to_python_course

8075973ee89a921a5e2693f649adbf1fc0e0b2cb

[ "CC-BY-4.0" ]

null

files/exercises/command-line-programs-changing-flags.py

mforneris/introduction_to_python_course

8075973ee89a921a5e2693f649adbf1fc0e0b2cb

[ "CC-BY-4.0" ]

null

files/exercises/command-line-programs-changing-flags.py

mforneris/introduction_to_python_course

8075973ee89a921a5e2693f649adbf1fc0e0b2cb

[ "CC-BY-4.0" ]

1

2020-01-09T10:58:56.000Z

# Rewrite readings.py so that it uses -n, -m, and -x instead of --min, --mean, and --max respectively. Is the code easier to read? Is the program easier to understand?

56.333333

167

0.710059

30

169

4

0.833333

0.083333

0

0.183432

169

2

168

84.5

0.869565

0.976331

0

null

0

null

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true

0

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null

0

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0

1

0

null

0

1

0

3

cac8dee4c737430df4486d19e00a81fbfc592b6e

100

py

Python

custom_components/airthings/const.py

siku2/hass-airthings

6d39ad50bf4402eacdd8d43eadd629b39111a976

[ "MIT" ]

1

2020-06-21T02:29:06.000Z

custom_components/airthings/const.py

siku2/hass-airthings

6d39ad50bf4402eacdd8d43eadd629b39111a976

[ "MIT" ]

2

2020-05-04T16:18:06.000Z

2022-03-01T17:19:31.000Z

custom_components/airthings/const.py

siku2/hass-airthings

6d39ad50bf4402eacdd8d43eadd629b39111a976

[ "MIT" ]

null

DOMAIN = "airthings" KEY_API = "api" PLATFORMS = ("sensor",) ERROR_LOGIN_FAILED = "login_failed"

12.5

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0.7

12

100

5.5

0.75

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0.15

100

7

36

14.285714

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0.3

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1

0

false

0

1

0

null

1

0

1

0

null

0

3

cae7d4435e64d6a012ead56c52698d559a724589

246

py

Python

app/api/business/case_study_business.py

ArenaNetworks/dto-digitalmarketplace-api

d0d58924719d889503ed112b0d5801b528b0398c

[ "MIT" ]

6

2017-06-09T03:38:53.000Z

2021-12-22T02:42:15.000Z

app/api/business/case_study_business.py

ArenaNetworks/dto-digitalmarketplace-api

d0d58924719d889503ed112b0d5801b528b0398c

[ "MIT" ]

47

2016-08-02T05:21:31.000Z

2022-03-28T01:14:17.000Z

app/api/business/case_study_business.py

AusDTO/dto-digitalmarketplace-api

937843c9c01a71518cf4688b4daa55bbe7df1965

[ "MIT" ]

7

2016-09-13T13:07:18.000Z

2021-02-17T10:16:21.000Z

from app.api.services import ( case_study_service ) def get_approved_case_studies(supplier_code, domain_id): case_studies = case_study_service.get_approved_case_studies_by_supplier_code(supplier_code, domain_id) return case_studies

27.333333

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0.237838

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0.117886

246

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30.75

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0.166667

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null

1

0

1

0

1

0

null

0

3

1b01f88e54d9142d16a5e9684f22f66200702ab3

180

py

Python

spycis/compat.py

marcwebbie/spycis

fa0cbad966ee0c10fbc0160048db35913f7dfe2a

[ "WTFPL", "Unlicense" ]

7

2015-10-24T07:06:15.000Z

2017-03-25T18:44:20.000Z

spycis/compat.py

marcwebbie/spycis

fa0cbad966ee0c10fbc0160048db35913f7dfe2a

[ "WTFPL", "Unlicense" ]

2

2021-03-25T21:43:19.000Z

2021-03-31T18:33:12.000Z

spycis/compat.py

marcwebbie/spycis

fa0cbad966ee0c10fbc0160048db35913f7dfe2a

[ "WTFPL", "Unlicense" ]

null

import sys if sys.version_info < (3,): # fallback to python2 input = raw_input str = unicode try: import StringIO except ImportError: from io import StringIO

15

27

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180

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0

0.015038

0.261111

180

11

28

16.363636

0.887218

0.105556

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

3

1b105e458715d132d53060aebe391dbf0d97d2f6

1,438

py

Python

trade_remedies_api/cases/models/utils.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

1

2020-08-13T10:37:15.000Z

trade_remedies_api/cases/models/utils.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

4

2020-09-10T13:41:52.000Z

2020-12-16T09:00:21.000Z

trade_remedies_api/cases/models/utils.py

uktrade/trade-remedies-api

fbe2d142ef099c7244788a0f72dd1003eaa7edce

[ "MIT" ]

null

import uuid from functools import singledispatch from .case import Case from .submissiontype import SubmissionType from .submissionstatus import SubmissionStatus @singledispatch def get_case(case) -> Case: """ A single dispatch to return a case from either a case instance or the case id. """ return case @get_case.register(str) def _(case) -> Case: # noqa return Case.objects.get_case(id=case) @get_case.register(uuid.UUID) def _(case) -> Case: # noqa return Case.objects.get_case(id=case) @singledispatch def get_submission_type(submission_type): """ A single dispatch to return a Submission Type from either an instance or the name """ return submission_type @get_submission_type.register(int) def _(submission_type): # noqa return SubmissionType.objects.get(id=submission_type) @get_submission_type.register(str) def _(submission_type): # noqa if submission_type.isdigit(): return get_submission_type(int(submission_type)) else: return SubmissionType.objects.get(name=submission_type) @singledispatch def get_submission_status(submission_status): """ A single dispatch to return a Submission Type from either an instance or the name """ return submission_status @get_submission_status.register(int) def _(submission_status): # noqa return SubmissionStatus.objects.select_related("type").get(id=submission_status)

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1,438

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false

0

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0

null

0

null

0

1

0

1

0

3

1b1297474bde3e09c3f737ac5d788ffdb1a0d17d

1,079

py

Python

dkim/generate.py

Fourier1/dkim_generator

fa5fd1654060f2611383ab2aa645d6a21b4a013c

[ "MIT" ]

null

dkim/generate.py

Fourier1/dkim_generator

fa5fd1654060f2611383ab2aa645d6a21b4a013c

[ "MIT" ]

null

dkim/generate.py

Fourier1/dkim_generator

fa5fd1654060f2611383ab2aa645d6a21b4a013c

[ "MIT" ]

null

#!/usr/bin/env python2.7 # -*- encoding: utf-8 -*- import os # TODO comment ajouter la commande su zimbra avant execution. # TODO les caracteres a suprimer dans le DKIM gener : " , def generate_dkim(_domaine): """ Generate DKIM""" cmd_dkim = "/opt/zimbra/libexec/zmdkimkeyutil -a -d " + _domaine try: dkim_ = os.system(cmd_dkim) print(dkim_) print("\n[ok] Create DKIM\n") except os.error as e: print(e) def delete_dkim(_domaine): """ Generate DKIM""" cmd_dkim = "/opt/zimbra/libexec/zmdkimkeyutil -r -d " + _domaine try: print(os.system(cmd_dkim)) print("\n[ok] Delete DKIM\n") except os.error as e: print(e) def print_dkim(_domaine): """ Generate DKIM""" cmd_dkim = "/opt/zimbra/libexec/zmdkimkeyutil -u -d " + _domaine try: print(os.system(cmd_dkim)) print("\n[ok] Print DKIM\n") except os.error as e: print(e) # if __name__ == '__main__': # generate_dkim("domainna.ci") # print_dkim("domainna.ci") # delete_dkim("domainna.ci")

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0.090476

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superspy/system/base_language.py

Kamik423/superspy

27e46690e0608aa6a181967658afbd1db7e06196

[ "MIT" ]

null

superspy/system/base_language.py

Kamik423/superspy

27e46690e0608aa6a181967658afbd1db7e06196

[ "MIT" ]

null

superspy/system/base_language.py

Kamik423/superspy

27e46690e0608aa6a181967658afbd1db7e06196

[ "MIT" ]

null

"""Basic language structure for the superspy language. """ from typing import Any from superspy import ast, language # Delimit words with spaces @language.register_word_delimiter(' ') # Delimit commands with semicolons and newlines @language.register_single_character_touching_token(';') @language.register_single_character_touching_token('\n') class NewLine(ast.Token): """Newline token. """ def deep_repr(self, indent='') -> str: return super().deep_repr(indent) + '\n' @language.register_command class Line(ast.Command): """A line containing a single command. Attributes: command (ast.Command): The command making up the line. """ command: ast.Command priority = ast.OrderOfOperations.COMMA can_contain_self = False def __init__(self, command: ast.Command, _: NewLine): """Initialize a line object. Args: command (ast.Command): The command. _ (NewLine): The new line character token. """ super().__init__() self.command = command def execute(self) -> Any: """Execute the line by executing its single command. Returns: Any: The return value of the command. """ return self.command.execute() def get_trace(self): return f'LINE {self.line_number}' def __repr__(self) -> str: return f'LINE {self.line_number}: {repr(self.command)}\n' def deep_repr(self, indent='') -> str: return f'{indent}LINE[{self.line_number}]\n'\ f'{self.command.deep_repr(indent+self.addint)}\n' @language.register_command class EmptyLine(ast.Command): """An empty line not containing any command. This is needed to, after all other lines have matched match the remaining newline tokens. """ priority = ast.OrderOfOperations.COMMA + 0.1 def __init__(self, _: NewLine): """Initialize the empty line. Args: _ (NewLine): The new line character token. """ super().__init__() def execute(self): """Execute an empty line - do nothing. """ pass def __repr__(self) -> str: return f'LINE {self.line_number}: EMPTY\n' def deep_repr(self, indent='') -> str: return f'{indent}LINE[{self.line_number}]: EMPTY\n'

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Python

tuiuiu/api/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

3

2019-08-08T09:09:35.000Z

2020-12-15T18:04:17.000Z

tuiuiu/api/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

null

tuiuiu/api/__init__.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

1

2017-09-09T20:10:40.000Z

from .conf import APIField # noqa default_app_config = 'tuiuiu.api.apps.TuiuiuAPIAppConfig'

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py

Python

tests/test_dvh.py

randlet/dvh

4b0127d58a5b689057e7290441de5a8c5ae02f6f

[ "BSD-3-Clause" ]

5

2015-03-09T22:52:42.000Z

2021-05-08T23:16:47.000Z

tests/test_dvh.py

randlet/dvh

4b0127d58a5b689057e7290441de5a8c5ae02f6f

[ "BSD-3-Clause" ]

null

tests/test_dvh.py

randlet/dvh

4b0127d58a5b689057e7290441de5a8c5ae02f6f

[ "BSD-3-Clause" ]

3

2015-12-26T23:38:33.000Z

2020-01-18T18:24:00.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_dvh ---------------------------------- Tests for `dvh` module. """ import json import unittest2 as unittest import numpy as np from dvh import DVH, monotonic_increasing, monotonic_decreasing class TestDvh(unittest.TestCase): def setUp(self): self.test_diff_vols = [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 4, 2, 1, 0, 0, 0, 0, 0, 10, 20, 30, 40, 50, 60, 70, 60, 50, 40, 30, 20, 10, 0, 0] self.test_cum_vols = [ 518, 518, 518, 518, 518, 518, 518, 518, 518, 517, 515, 512, 508, 503, 497, 493, 491, 490, 490, 490, 490, 490, 490, 480, 460, 430, 390, 340, 280, 210, 150, 100, 60, 30, 10, 0, 0.] self.min_dose = 80 self.max_dose = 340 self.mean_dose = 285 self.test_doses = np.arange(0, 370, 10) self.test_structs = { "Ant Scalene" : { "doses": [0, 395, 405, 415, 425, 435, 445, 465, 475, 485, 495, 505, 515, 525, 535, 545, 555, 565, 585, 595, 605, 615, 625, 635, 645, 655, 665, 675, 685, 715, 725, 735, 755, 765, 775, 795, 805, 815, 825, 835, 845, 855, 865, 875, 885, 895, 905, 915, 955, 965, 975, 985, 995, 1005, 1015, 1025, 1035, 1045, 1055, 1065, 1075, 1085, 1095, 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385, 395, 405, 415, 425, 435, 445, 455, 465, 475, 485, 495, 505, 515, 525, 535, 545, 555, 565, 575, 585, 595, 605, 615, 625, 635, 645, 655, 665, 675, 685, 695, 705, 715, 725, 735, 745, 755, 765, 775, 785, 795, 805, 815, 825, 835, 845, 855, 865, 875, 885, 895, 905, 915, 925, 935, 945, 955, 965, 975, 985, 995, 1005, 1015, 1025, 1035, 1045, 1055, 1065, 1075, 1085, 1095, 1105, 1115, 1125, 1135, 1145, 1155, 1165, 1175, 1185, 1195, 1205, 1215, 1225, 1235, 1245, 1255, 1265, 1275, 1285, 1295, 1305, 1315, 1325, 1335, 1345, 1355, 1365, 1375, 1385, 1395, 1405, 1415, 1425, 1435, 1445, 1455, 1465, 1475, 1485, 1495, 1505, 1515, 1525, 1535, 1545, 1555, 1565, 1575, 1585, 1595, 1605, 1625, 1635, 1645, 1655, 1665, 1675, 1685, 1695, 1705, 1715, 1725, 1735, 1745, 1755, 1765, 1775, 1785, 1795, 1805, 1815, 1825, 1835, 1845, 1855, 1865, 1875, 1885, 1895, 1905, 1915, 1925, 1935, 1945, 1955, 1965, 1975, 1985, 1995, 2005, 2015, 2025, 2035, 2045, 2065, 2075, 2085, 2095, 2105, 2115, 2125, 2135, 2145, 2155, 2165, 2175, 2185, 2195, 2205, 2215, 2225, 2235, 2245, 2255, 2265, 2275, 2285, 2295, 2305, 2315, 2325, 2335, 2345, 2355, 2365, 2375, 2385, 2395, 2405, 2425, 2435, 2445, 2465, 2475, 2485, 2495, 2505, 2515, 2525, 2535, 2545, 2555, 2565, 2575, 2585, 2595, 2605, 2615, 2625, 2635, 2655, 2665, 2685, 2695, 2705, 2715, 2725, 2735, 2745, 2755, 2765, 2775, 2785, 2795, 2805, 2835, 2845, 2855, 2865, 2885, 2895, 6955, 6960], "volumes" : [202.215, 202.215, 185.281, 178.426, 171.883, 166.421, 162.144, 157.958, 154.472, 151.367, 148.431, 145.753, 143.439, 141.707, 140.066, 138.441, 136.694, 135.114, 133.489, 131.856, 129.909, 127.67, 124.556, 121.016, 117.495, 113.781, 110.265, 107.293, 104.206, 101.475, 98.956, 96.835, 95.416, 94.425, 93.538, 92.733, 91.921, 91.097, 90.15, 88.896, 87.359, 85.697, 83.861, 81.868, 79.835, 77.708, 75.325, 72.962, 70.615, 68.584, 66.794, 65.322, 63.94, 62.758, 61.605, 60.413, 59.285, 58.128, 57.042, 55.941, 55, 54.143, 53.374, 52.683, 51.949, 51.262, 50.66, 50.156, 49.664, 49.189, 48.707, 48.205, 47.698, 47.239, 46.783, 46.353, 45.919, 45.523, 45.088, 44.702, 44.364, 44.045, 43.729, 43.462, 43.205, 42.962, 42.736, 42.508, 42.301, 42.107, 41.9, 41.728, 41.535, 41.366, 41.178, 41.005, 40.827, 40.621, 40.423, 40.224, 40.008, 39.794, 39.567, 39.353, 39.114, 38.882, 38.646, 38.408, 38.118, 37.882, 37.568, 37.307, 37.045, 36.732, 36.432, 36.127, 35.824, 35.502, 35.141, 34.793, 34.446, 34.062, 33.688, 33.277, 32.875, 32.393, 31.967, 31.485, 31.006, 30.481, 29.97, 29.379, 28.812, 28.202, 27.566, 26.877, 26.193, 25.525, 24.791, 24.072, 23.345, 22.586, 21.809, 20.975, 20.188, 19.355, 18.582, 17.762, 16.988, 16.176, 15.425, 14.745, 14.056, 13.373, 12.746, 12.11, 11.542, 10.978, 10.418, 9.902, 9.441, 8.991, 8.191, 7.822, 7.482, 7.169, 6.887, 6.598, 6.352, 6.087, 5.867, 5.65, 5.434, 5.225, 5.032, 4.862, 4.67, 4.501, 4.325, 4.172, 4.016, 3.874, 3.728, 3.602, 3.455, 3.322, 3.198, 3.082, 2.972, 2.861, 2.747, 2.644, 2.558, 2.476, 2.383, 2.298, 2.199, 2.138, 2.061, 1.989, 1.928, 1.852, 1.791, 1.734, 1.669, 1.557, 1.498, 1.45, 1.398, 1.347, 1.29, 1.251, 1.2, 1.163, 1.12, 1.072, 1.036, 1.001, 0.959, 0.921, 0.889, 0.847, 0.815, 0.782, 0.75, 0.724, 0.691, 0.666, 0.637, 0.61, 0.582, 0.553, 0.525, 0.502, 0.477, 0.456, 0.426, 0.409, 0.388, 0.372, 0.33, 0.311, 0.29, 0.256, 0.243, 0.221, 0.206, 0.197, 0.181, 0.168, 0.158, 0.143, 0.132, 0.129, 0.12, 0.112, 0.1, 0.093, 0.082, 0.072, 0.069, 0.059, 0.05, 0.04, 0.038, 0.03, 0.026, 0.025, 0.022, 0.018, 0.016, 0.013, 0.013, 0.012, 0.012, 0.009, 0.006, 0.006, 0.003, 0.002, 0.002, 0, 0, 0], "monaco_dvh_mean_dose": 496.7, "monaco_dvh_max_dose": 2889.2, "monaco_dvh_min_dose": 0, "monaco_dvh_volume": 202.215, } } def test_realistic_mean_dose(self): """test mean dose within 1cGy""" for struct, data in self.test_structs.items(): dvh = DVH(data["doses"], data["volumes"]) diff = dvh.mean_dose - data["monaco_dvh_mean_dose"] self.assertLessEqual(abs(diff), 1) def test_realistic_min_dose(self): """test min dose within 1cGy""" # min and max dose can only really hope to be within half a bin width for struct, data in self.test_structs.items(): dvh = DVH(data["doses"], data["volumes"]) diff = dvh.min_dose - data["monaco_dvh_min_dose"] self.assertLessEqual(abs(diff), 5.) def test_realistic_max_dose(self): """test max dose within 5cGy""" # min and max dose can only really hope to be within half a bin width for struct, data in self.test_structs.items(): dvh = DVH(data["doses"], data["volumes"]) diff = dvh.max_dose - data["monaco_dvh_max_dose"] self.assertLessEqual(abs(diff), 5.) def test_missing_doses(self): with self.assertRaises(ValueError): dvh = DVH(volumes=[1,2]) def test_missing_volumes(self): with self.assertRaises(ValueError): dvh = DVH(doses=[1,2]) def test_no_zero_dose_dif(self): doses = [1, 2, 3] volumes = [30, 0, 10] dvh = DVH(doses, volumes) self.assertEqual(dvh.mean_dose, 1.5) def test_no_zero_dose_cum(self): doses = [1, 2, 3, 4] volumes = [30, 30, 10, 5] dvh = DVH(doses, volumes) self.assertEqual(dvh.mean_dose, (5.*4. + 5*3 +20*2)/(5. + 5 + 20)) def test_dmax(self): dvh = DVH(self.test_doses, self.test_diff_vols) self.assertEqual(dvh.max_dose, self.max_dose) def test_dmin(self): dvh = DVH(self.test_doses, self.test_diff_vols) self.assertEqual(dvh.min_dose, self.min_dose) def test_dmean(self): """TODO: Develop real worlds tests""" doses = [0, 1, 2, 3] volumes = [10, 0, 0, 10] dvh = DVH(doses, volumes) self.assertEqual(dvh.mean_dose, 1.5) def test_monotonic_increasing_strict(self): self.assertTrue(monotonic_increasing(range(4))) self.assertFalse(monotonic_increasing(self.test_diff_vols)) def test_monotonic_decreasing(self): self.assertFalse(monotonic_decreasing(self.test_diff_vols)) self.assertTrue(monotonic_decreasing(list(reversed(range(4))))) def test_diff_converted_to_cumulative(self): dvh = DVH(self.test_doses, self.test_diff_vols) self.assertAlmostEqual(dvh.cum_volumes[0], 1) def test_invalid_bin_count(self): with self.assertRaises(ValueError): dvh = DVH(self.test_doses[:-1], self.test_diff_vols) def test_invalid_bins(self): with self.assertRaises(ValueError): dvh = DVH([1,3,1], [2,4]) def test_cumulative_to_diff(self): dvh = DVH(self.test_doses, self.test_cum_vols) dvh2 = DVH(self.test_doses, dvh.diff_volumes) self.assertAlmostEqual(sum(dvh2.cum_volumes - dvh.cum_volumes), 0) def test_dose_to_volume_fraction_0(self): dvh = DVH(self.test_doses, self.test_cum_vols) self.assertAlmostEqual(dvh.dose_to_volume_fraction(0), self.max_dose) def test_dose_to_volume_fraction_1(self): dvh = DVH(self.test_doses, self.test_cum_vols) self.assertAlmostEqual(dvh.dose_to_volume_fraction(1), self.min_dose) def test_dose_to_volume_fraction_mid(self): """ A volume fraction of 0.9999999999 should give just slightly more than min dose""" dvh = DVH(self.test_doses, self.test_cum_vols) self.assertAlmostEqual(dvh.dose_to_volume_fraction(0.9999999999), self.min_dose, places=4) self.assertGreater(dvh.dose_to_volume_fraction(0.9999999999), self.min_dose) def test_dose_to_volume_fraction_invalid(self): dvh = DVH(self.test_doses, self.test_cum_vols) with self.assertRaises(ValueError): dvh.dose_to_volume_fraction(100) def test_volume_fraction_receiving_zero_or_more_dose(self): dvh = DVH(self.test_doses, self.test_cum_vols) self.assertAlmostEqual(dvh.volume_fraction_receiving_dose(0), 1) def test_volume_fraction_receiving_more_than_max_dose(self): dvh = DVH(self.test_doses, self.test_cum_vols) self.assertAlmostEqual(dvh.volume_fraction_receiving_dose(dvh.max_dose+1), 0) def test_volume_fraction_receiving_dose(self): doses = [0, 1, 2, 3] volumes = [10, 0, 0, 10] dvh = DVH(doses, volumes) self.assertAlmostEqual(dvh.volume_fraction_receiving_dose(dvh.mean_dose), 0.5) def test_to_dict(self): doses = [1, 2, 3, 4, 5] volumes = [1, 1, 0.5, 0.5, 0] dvh = DVH(doses, volumes) expected = { 'diff_volumes': [0.0, 0.0, 0.5, 0.0, 0.5, 0.0], 'cum_volumes': [1.0, 1.0, 1.0, 0.5, 0.5, 0.0], 'doses': [0.0, 1.0, 2.0, 3.0, 4.0, 5.0], 'mean_dose': 3.0, 'max_dose': 4.0, 'min_dose': 2.0 } self.assertDictEqual(expected, dvh.to_dict()) def test_to_dict_no_diff(self): doses = [1, 2, 3, 4, 5] volumes = [1, 1, 0.5, 0.5, 0] dvh = DVH(doses, volumes) expected = { 'cum_volumes': [1.0, 1.0, 1.0, 0.5, 0.5, 0.0], 'doses': [0.0, 1.0, 2.0, 3.0, 4.0, 5.0], 'mean_dose': 3.0, 'max_dose': 4.0, 'min_dose': 2.0 } self.assertDictEqual(expected, dvh.to_dict(False)) def test_json_serialze(self): doses = [1, 2, 3, 4, 5] volumes = [1, 1, 0.5, 0.5, 0] dvh = DVH(doses, volumes) expected = { 'diff_volumes': [0.0, 0.0, 0.5, 0.0, 0.5, 0.0], 'cum_volumes': [1.0, 1.0, 1.0, 0.5, 0.5, 0.0], 'doses': [0.0, 1.0, 2.0, 3.0, 4.0, 5.0], 'mean_dose': 3.0, 'max_dose': 4.0, 'min_dose': 2.0 } self.assertDictEqual(json.loads(json.dumps(expected)), json.loads(dvh.serialize())) def test_json_serialze_invalid(self): doses = [1, 2, 3, 4, 5] volumes = [1, 1, 0.5, 0.5, 0] dvh = DVH(doses, volumes) with self.assertRaises(TypeError): dvh.serialize(method="blah") if __name__ == '__main__': unittest.main() def test_dose_to_volume_fraction_invalid(self): dvh = DVH(self.test_doses, self.test_cum_vols) with self.assertRaises(ValueError): dvh.dose_to_volume_fraction(100) if __name__ == '__main__': unittest.main()

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1

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null

0

3

1b837bfdda505d808bea5d5cb0f138e08c143f2b

806

py

Python

zcalc/stdlib/unit/si.py

blackchip-org/zcalc

dbfd09938c5cad7b0adb5004ad3858f1edf560bf

[ "MIT" ]

null

zcalc/stdlib/unit/si.py

blackchip-org/zcalc

dbfd09938c5cad7b0adb5004ad3858f1edf560bf

[ "MIT" ]

null

zcalc/stdlib/unit/si.py

blackchip-org/zcalc

dbfd09938c5cad7b0adb5004ad3858f1edf560bf

[ "MIT" ]

null

from zcalc.lib import ops @ops() def units(): return [ ('yotta', lambda z: '1e24'), ('zetta', lambda z: '1e21'), ('exa', lambda z: '1e18'), ('peta', lambda z: '1e15'), ('tera', lambda z: '1e12'), ('giga', lambda z: '1e9'), ('mega', lambda z: '1e6'), ('kilo', lambda z: '1e3'), ('hecto', lambda z: '1e2'), ('deca', lambda z: '1e1'), ('deci', lambda z: '1e-1'), ('centi', lambda z: '1e-2'), ('milli', lambda z: '1e-3'), ('micro', lambda z: '1e-6'), ('nano', lambda z: '1e-9'), ('pico', lambda z: '1e-12'), ('femto', lambda z: '1e-15'), ('atto', lambda z: '1e-18'), ('zepto', lambda z: '1e-21'), ('yocto', lambda z: '1e-24'), ]

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null

0

1

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3

1b89000b4bac6621cbe7efadee1bc8df07301f48

279

py

Python

lodestar-backend/controllers/scatter_controller.py

barblin/lodestar

b36c9b76374c111b24abad87fa4f573bfd129d0e

[ "MIT" ]

null

lodestar-backend/controllers/scatter_controller.py

barblin/lodestar

b36c9b76374c111b24abad87fa4f573bfd129d0e

[ "MIT" ]

null

lodestar-backend/controllers/scatter_controller.py

barblin/lodestar

b36c9b76374c111b24abad87fa4f573bfd129d0e

[ "MIT" ]

null

import json from flask import Blueprint from services import scatter_service scatter_controller = Blueprint('scatter_controller', __name__) @scatter_controller.route('/api/v1/scatters/<filename>') def scatters(filename): return json.dumps(scatter_service.get(filename))

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0.285714

0

null

1

0

null

0

1

0

3

1bad06cbba7be61ab1d45ce1e8634396866f4162

179

py

Python

src/spyd/utils/truncate.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

4

2015-05-05T16:44:42.000Z

2020-10-27T09:45:23.000Z

src/spyd/utils/truncate.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

null

src/spyd/utils/truncate.py

DanSeraf/spyd

af893b7f9c67785613b25754eb2cf150523a9fe4

[ "Zlib" ]

2

2016-12-13T22:21:08.000Z

2020-03-14T16:44:20.000Z

def truncate(string, length): "Ensure a string is no longer than a given length." if len(string) <= length: return string else: return string[:length]

25.571429

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0.273743

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1

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0

1

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null

0

3

1bb4a8c8ebd46957abfa4179ffa1ca77aa6ed4b8

56

py

Python

django_ariadne_jwt_gaid/__init__.py

MrClemRkz/django-ariadne-jwt

ede1dc6353192c751f7e9119f42419f0955ce44f

[ "MIT" ]

2

2021-02-06T19:19:07.000Z

2021-07-18T04:59:25.000Z

django_ariadne_jwt_gaid/__init__.py

MrClemRkz/django-ariadne-jwt

ede1dc6353192c751f7e9119f42419f0955ce44f

[ "MIT" ]

null

django_ariadne_jwt_gaid/__init__.py

MrClemRkz/django-ariadne-jwt

ede1dc6353192c751f7e9119f42419f0955ce44f

[ "MIT" ]

1

2021-07-15T14:03:21.000Z

from . import resolvers as types __version__ = "0.2.1"

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null

0

1

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3

1bcb0839f77683c67e5ff43e8454e47e2e606524

7,546

py

Python

starshipcreator/generator/models.py

pahrens82/StarfinderShipCreator

0f7af8cf1fad8bbd8f8d1edbeea25133eefb3c59

[ "MIT" ]

1

2021-07-29T03:56:54.000Z

starshipcreator/generator/models.py

pahrens82/StarfinderShipCreator

0f7af8cf1fad8bbd8f8d1edbeea25133eefb3c59

[ "MIT" ]

null

starshipcreator/generator/models.py

pahrens82/StarfinderShipCreator

0f7af8cf1fad8bbd8f8d1edbeea25133eefb3c59

[ "MIT" ]

null

from django.db import models ARC = ( ('Forward', 'Forward'), ('Aft', 'Aft'), ('Port', 'Port'), ('Starboard', 'Starboard'), ) COMPUTER_BONUS = ( ('+0', '+0'), ('+1', '+1'), ('+1/+1', '+1/+1'), ('+1/+1/+1', '+1/+1/+1'), ('+1/+1/+1/+1', '+1/+1/+1/+1'), ('+2', '+2'), ('+2/+2', '+2/+2'), ('+2/+2/+2', '+2/+2/+2'), ('+2/+2/+2/+2', '+2/+2/+2/+2'), ('+3', '+3'), ('+3/+3', '+3/+3'), ('+3/+3/+3', '+3/+3/+3'), ('+3/+3/+3/+3', '+3/+3/+3/+3'), ('+4', '+4'), ('+4/+4', '+4/+4'), ('+4/+4/+4', '+4/+4/+4'), ('+5', '+5'), ('+5/+5', '+5/+5'), ('+5/+5/+5', '+5/+5/+5'), ('+6', '+6'), ('+6/+6', '+6/+6'), ('+7', '+7'), ('+7/+7', '+7/+7'), ('+8', '+8'), ('+8/+8', '+8/+8'), ) WEIGHT = ( ('Light', 'Light'), ('Heavy', 'Heavy'), ('Capital', 'Capital'), ) TYPE = ( ('Direct Fire', 'Direct Fire'), ('Tracking', 'Tracking'), ) RANGES = ( ('Short', 'Short'), ('Medium', 'Medium'), ('Long', 'Long'), ) DICE = ( ('d4', 'd4'), ('d6', 'd6'), ('d8', 'd8'), ('d10', 'd10'), ('d12', 'd12'), ('d20', 'd20'), ) class Size(models.Model): name = models.CharField( max_length=100, verbose_name='Size' ) length = models.PositiveIntegerField weight = models.PositiveIntegerField ac_tl_mod = models.IntegerField class Tier(models.Model): name = models.CharField( max_length=100, verbose_name='Tier', ) build_points = models.PositiveIntegerField(default=0) special = models.BooleanField class Maneuverability(models.Model): name = models.CharField( max_length=100, verbose_name='Tier', ) distance = models.PositiveIntegerField(default=2) pilot_modifier = models.IntegerField(default=0) class Frame(models.Model): name = models.CharField( max_length=100, verbose_name='Frame', ) size = models.ForeignKey( Size, on_delete=models.CASCADE, ) maneuverability = models.ForeignKey( Maneuverability, on_delete=models.CASCADE, ) hitpoints = models.PositiveIntegerField(default=0) DT = models.PositiveIntegerField(default=0) CT = models.PositiveIntegerField(default=0) arc = models.CharField( max_length=100, choices=ARC, ) expansions = models.PositiveIntegerField(default=0) min_crew = models.PositiveIntegerField(default=0) max_crew = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Core(models.Model): name = models.CharField( max_length=100, verbose_name='Power Core', ) size = models.ForeignKey( Size, on_delete=models.CASCADE, ) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Thruster(models.Model): name = models.CharField( max_length=100, verbose_name='Thruster', ) size = models.ForeignKey( Size, on_delete=models.CASCADE, ) speed = models.PositiveIntegerField(default=0) pilot_mod = models.IntegerField(default=0) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Armor(models.Model): name = models.CharField( max_length=100, verbose_name='Armor', ) ac_bonus = models.PositiveIntegerField(default=0) # special = models.ForeignKey cost = models.PositiveIntegerField(default=0) class Computer(models.Model): name = models.CharField( max_length=100, verbose_name='Computer', ) bonus = models.CharField( max_length=100, choices=COMPUTER_BONUS, ) nodes = models.PositiveIntegerField(default=0) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class CrewQuarter(models.Model): name = models.CharField( max_length=100, verbose_name='Quarters', ) cost = models.PositiveIntegerField(default=0) class Countermeasure(models.Model): name = models.CharField( max_length=100, verbose_name='Countermeasure', ) bonus = models.PositiveIntegerField(default=0) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class DriftEngine(models.Model): name = models.CharField( max_length=100, verbose_name='Drift Engine', ) rating = models.PositiveIntegerField(default=0) min_pcu = models.PositiveIntegerField(default=0) max_size = models.ForeignKey( Size, on_delete=models.CASCADE, ) class ExpansionBay(models.Model): name = models.CharField( max_length=100, verbose_name='Expansion Bay', ) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Security(models.Model): name = models.CharField( max_length=100, verbose_name='Security', ) cost = models.PositiveIntegerField(default=0) class Sensors(models.Model): name = models.CharField( max_length=100, verbose_name='Sensor', ) range = models.CharField( max_length=100, choices=RANGES, ) modifier = models.IntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Shields(models.Model): name = models.CharField( max_length=100, verbose_name='Shield', ) shield_points = models.PositiveIntegerField(default=0) regen = models.PositiveIntegerField(default=0) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) class Weapons(models.Model): name = models.CharField( max_length=100, verbose_name='Name', ) weight = models.CharField( max_length=100, choices=WEIGHT, ) type = models.CharField( max_length=100, choices=TYPE, ) range = models.CharField( max_length=100, choices=RANGES, ) speed = models.PositiveIntegerField(default=0) damage_number = models.PositiveIntegerField(default=0) damage_die = models.CharField( max_length=100, verbose_name='Damage Die', choices=DICE, ) pcu = models.PositiveIntegerField(default=0) cost = models.PositiveIntegerField(default=0) # properties = models.ForeignKey( # Properties, # on_delete=models.CASCADE, # ) class Starship(models.Model): tier = models.ForeignKey(Tier, on_delete=models.CASCADE) frame = models.ForeignKey(Frame, on_delete=models.CASCADE) core = models.ForeignKey(Core, on_delete=models.CASCADE) thrusters = models.ForeignKey(Thruster, on_delete=models.CASCADE) armor = models.ForeignKey(Armor, on_delete=models.CASCADE) computer = models.ForeignKey(Computer, on_delete=models.CASCADE) crew_quarters = models.ForeignKey(CrewQuarter, on_delete=models.CASCADE) countermeasures = models.ForeignKey(Countermeasure, on_delete=models.CASCADE) drift_engine = models.ForeignKey(DriftEngine, on_delete=models.CASCADE) expansion_bays = models.ForeignKey(ExpansionBay, on_delete=models.CASCADE) security = models.ForeignKey(Security, on_delete=models.CASCADE) sensors = models.ForeignKey(Sensors, on_delete=models.CASCADE) shields = models.ForeignKey(Shields, on_delete=models.CASCADE) weapons = models.ForeignKey(Weapons, on_delete=models.CASCADE)

25.931271

81

0.622714

821

7,546

5.628502

0.133983

0.219433

0.264229

0.264878

0.616317

0.519368

0.441679

0.433456

0.36399

0

0.039366

0.222369

7,546

290

82

26.02069

0.748125

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0

0.319672

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0.076561

0

1

0

false

0

0.004098

0

0.42623

0

null

1

0

null

0

3

1bdb08803ddd92f53dc0c20f3fd83fb0d5fb3bd0

1,915

py

Python

tvaf/auth.py

AllSeeingEyeTolledEweSew/tvaf-ftp

c53ed4b8b6715d10567fca85847000356a2c7793

[ "0BSD" ]

null

tvaf/auth.py

AllSeeingEyeTolledEweSew/tvaf-ftp

c53ed4b8b6715d10567fca85847000356a2c7793

[ "0BSD" ]

null

tvaf/auth.py

AllSeeingEyeTolledEweSew/tvaf-ftp

c53ed4b8b6715d10567fca85847000356a2c7793

[ "0BSD" ]

null

# Copyright (c) 2020 AllSeeingEyeTolledEweSew # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted. # # THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH # REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY # AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, # INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM # LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR # OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR # PERFORMANCE OF THIS SOFTWARE. import contextlib import threading from typing import cast from typing import ContextManager from typing import Optional class Error(Exception): pass class AuthenticationFailed(Error): pass class _UserContext(contextlib.AbstractContextManager): def __init__(self, auth_service: "AuthService") -> None: self.auth_service = auth_service def __enter__(self) -> None: pass def __exit__(self, exc_type, exc_value, traceback) -> None: self.auth_service.pop_user() class AuthService: USER = "tvaf" PASSWORD = "U15OwvGt" def __init__(self) -> None: self._local = threading.local() def auth_password_plain(self, user: str, password: str) -> None: if (user, password) == (self.USER, self.PASSWORD): return raise AuthenticationFailed() def push_user(self, user: str) -> ContextManager[None]: assert self.get_user() is None ctx = _UserContext(self) self._local.user = user return ctx def get_user(self) -> Optional[str]: return cast(Optional[str], getattr(self._local, "user", None)) def pop_user(self) -> None: assert self.get_user() is not None self._local.user = None

29.015152

79

0.703916

249

1,915

5.269076

0.433735

0.033537

0.036585

0.028963

0.035061

0

0.003992

0.215144

1,915

65

80

29.461538

0.868929

0.338903

0

0.085714

0

0.021548

0

0.057143

1

0.228571

false

0.171429

0.142857

0.028571

0.628571

0

null

0

null

0

1

0

1

0

1

0

3

59f3f938a9fdcb844f9bbabcbcc6ee6635d2c71d

3,508

py

Python

notepad.py

Aman817/chatbot_app

ac0dc8e01af1be022598f98f2e9a6d545b53593a

[ "MIT" ]

null

notepad.py

Aman817/chatbot_app

ac0dc8e01af1be022598f98f2e9a6d545b53593a

[ "MIT" ]

null

notepad.py

Aman817/chatbot_app

ac0dc8e01af1be022598f98f2e9a6d545b53593a

[ "MIT" ]

null

import os import time import pyttsx3 import commands import speech_recognition as sr import start1 def start(): os.system("cls") print("\n\n\n\t\t ###>>+++... ,,,,.._____") print("\t\t ########### ########### ##### ## ## ## ###################### ") print("\t\t ########### ########### ## ## ## ## ## ## ## ") print("\t\t ########### ########### ## ### ## ## ## ## ## ") print("\t\t ########### ########### ## ## ## ## ## ## ") print("\t\t ^^^^^^^^^^^ ^^--++::### ## ########### ############## ## ") print("\t\t ########### ########### ## ## ## ## ## ## ") print("\t\t ########### ########### ## ## ## ## ## ## ") print("\t\t ########### ########### ## ## ## ## ## ## ## ") print("\t\t ########### ########### ## ## ## ## ## ## ## ") print("\t\t ^^^^^^^^^^^ ^^^^^^++++: ##### ## ## ## ## ## \n\n") speak() editors() def speak(): pyttsx3.speak("WELCOME TO THE EDIT MENU") print("=="*60 , end="") print("EDITORS") print("=="*60 , end="") def editors(): pyttsx3.speak("HERE ARE SOME OF THE EDITORS") while True: start1.start2() print('''\n [1] NOTEPAD [2] NOTEPAD++ [3] WORDPAD [0] BACK ''') print("=="*60 , end="") pyttsx3.speak("WHICH EDITOR SHOULD I OPEN") a = input("ASK ME ANYTHING: ") if ((("open" in a) or ("start" in a)) and (("notepad" in a) and ("++" not in a))): pyttsx3.speak("NOTEPAD SUCCESSFULLY OPENED") os.system("notepad") elif ((("open" in a) or ("start" in a)) and (("notepad" in a) and ("++" in a))): pyttsx3.speak("NOTEPAD PLUS PLUS SUCCESSFULLY OPENED") os.system("notepad++") time.sleep(3) elif ((("open" in a) or ("start" in a)) and ("wordpad" in a)): pyttsx3.speak("WORDPRESS SUCCESSFULLY OPENED") os.system("wordpad") elif(("previous" in a) or ("return" in a) or ("back" in a)): commands.start() else: print(''' ..... @@@@@@@@@@@@@ @@@@@@@@@@@@@@@@@ @@@@ @@@@@@ @@@@@ @@@@@@@@@@@@@@@@@@@ @@@@@ @@@@@ @@@ @@@ @@@@@@@@@@@@@ ^^^^^^ WRONG SEARCH ''') pyttsx3.speak("YOU HAVE SEARCHED SOMETHING IRRELEVANT") time.sleep(1)

43.85

134

0.243444

216

3,508

3.925926

0.328704

0.049528

0.082547

0.09434

0.325472

0.195755

0.162736

0

0.013756

0.523375

3,508

79

135

44.405063

0.493421

0

0.19697

0

0.63512

0.006271

0

1

0.045455

false

0

0.090909

0

0.136364

0.257576

0

null

0

1

0

1

0

1

0

null

0

3

9438f6c87582fc0aca444296b22942452c48455d

94

py

Python

pakage_lists.py

ryuya1123/pc_status_app

89dc1e0ff16380de7306fde325463dfead2d62df

[ "MIT" ]

null

pakage_lists.py

ryuya1123/pc_status_app

89dc1e0ff16380de7306fde325463dfead2d62df

[ "MIT" ]

null

pakage_lists.py

ryuya1123/pc_status_app

89dc1e0ff16380de7306fde325463dfead2d62df

[ "MIT" ]

null

import platform from pip import _internal v = platform.platform() _internal.main(['list'])

11.75

25

0.744681

12

94

5.666667

0.666667

0

0.138298

94

7

26

13.428571

0.839506

0

0.042553

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

943b6d6156f2a021ff0c62cb1bf6ad02c74fb90d

235

py

Python

VariableScope1.py

stevoWinke1/python

70649dd2a3801584af1394b0a68e6f1befa39ef2

[ "MIT" ]

null

VariableScope1.py

stevoWinke1/python

70649dd2a3801584af1394b0a68e6f1befa39ef2

[ "MIT" ]

null

VariableScope1.py

stevoWinke1/python

70649dd2a3801584af1394b0a68e6f1befa39ef2

[ "MIT" ]

9

2016-10-14T15:22:31.000Z

2016-10-14T15:50:47.000Z

var = 'foo' def ex2(): var = 'bar' print ('inside the function var is ', var) ex2() def ex3(): global var var = 'bar' print ('inside the function var is ', var) ex3() print ('outside the function var is ', var)

14.6875

46

0.578723

35

235

3.885714

0.371429

0.242647

0.308824

0.352941

0.669118

0.529412

0

0.023529

0.276596

235

15

47

15.666667

0.776471

0

0.363636

0

0.387234

0

1

0.181818

false

0

0.181818

0.272727

0

null

1

0

null

0

3

94519f27c908a4780bc6a2fd607a200dbcfd3e42

311

py

Python

engine/timer.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

8

2019-12-15T22:32:30.000Z

2021-06-14T07:38:51.000Z

engine/timer.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

null

engine/timer.py

UnidayStudio/Easy-2D-Game-Engine

1a8501cba538d7542b0e24bf64eead388085480f

[ "MIT" ]

2

2020-09-10T17:34:23.000Z

2021-03-11T09:26:26.000Z

import pygame class Timer(): def __init__(self): self._time = 0 self.reset() def _getTicks(self): # in seconds return pygame.time.get_ticks() / 1000 def set(self, value): self._time = self._getTicks() - value def reset(self): self.set(0) def get(self): return self._getTicks() - self._time

17.277778

39

0.675241

46

311

4.326087

0.413043

0.120603

0

0.023622

0.18328

311

18

40

17.277778

0.759843

0.032154

0

1

0.384615

false

0

0.076923

0.153846

0.692308

0

null

0

null

0

1

0

1

0

3