dbaysal/function-class-dataset-new · Datasets at Hugging Face

1bc8a10193abbc359d71d90e

train

function

def view_lines( lines, title = None ): raise NotImplementedError( 'Songrun, you can implement this.' )

def view_lines( lines, title = None ):

raise NotImplementedError( 'Songrun, you can implement this.' )

2pos[0] + w1.getWindowShape()[0], w2pos[1] ) w1.positionWindow( [500, 0] if 'sim' in mesh_path else [0, 0] ) glutMainLoop() def view_lines( lines, title = None ):

64

26

10

54

Zhengjun-Du/GeometricPaletteBasedVideoRecoloring

ExtractVideoFrameConvexHull/dynamic_viewer.py

Python

view_lines

518

519

518

67113b67d4dd2d98a88c6d48b2835e262cf6666d

bigcode/the-stack

train

c3813072f653b068291cd7f0

train

function

def draw_points( mesh, points, video_points): ''' Takes a sequence of points and draws it, setting as little OpenGL state as possible. ''' glShadeModel( GL_SMOOTH ) glBegin( GL_POINTS ) # print(dir(mesh)) for x, y, z in mesh.vs: # v = tuple( v ) glColor(x + .5, y +...

def draw_points( mesh, points, video_points):

''' Takes a sequence of points and draws it, setting as little OpenGL state as possible. ''' glShadeModel( GL_SMOOTH ) glBegin( GL_POINTS ) # print(dir(mesh)) for x, y, z in mesh.vs: # v = tuple( v ) glColor(x + .5, y + .5, z + .5) glVertex3f(x, y, z) ...

) glVertex3f(.5, q, s) glEnd() def draw_linestrips( linestrips ): ''' Takes a sequence of line strips, where each line strip is a sequence of points, and draws it, setting as little OpenGL state as possible. ''' for linestrip in linestrips: glBegin( GL_LINE_STRIP ) ...

104

349

11

93

Zhengjun-Du/GeometricPaletteBasedVideoRecoloring

ExtractVideoFrameConvexHull/dynamic_viewer.py

Python

draw_points

252

293

252

2bf81732ccf77e48d9243e30a165bbec79d4c586

bigcode/the-stack

train

265170410f0d33fdd875651c

train

class

class TestRescaleIntensity(TorchioTestCase): """Tests for :class:`tio.RescaleIntensity` class.""" def test_rescale_to_same_intentisy(self): min_t1 = float(self.sample_subject.t1.data.min()) max_t1 = float(self.sample_subject.t1.data.max()) transform = tio.RescaleIntensity(out_min_max=(m...

class TestRescaleIntensity(TorchioTestCase):

"""Tests for :class:`tio.RescaleIntensity` class.""" def test_rescale_to_same_intentisy(self): min_t1 = float(self.sample_subject.t1.data.min()) max_t1 = float(self.sample_subject.t1.data.max()) transform = tio.RescaleIntensity(out_min_max=(min_t1, max_t1)) transformed = transfo...

import copy import torch import torchio as tio import numpy as np from ...utils import TorchioTestCase class TestRescaleIntensity(TorchioTestCase):

37

256

991

11

25

snavalm/torchio

tests/transforms/preprocessing/test_rescale.py

Python

TestRescaleIntensity

8

102

8

9c21f83b05d6df03689ce3dcb81183833cb5e436

bigcode/the-stack

train

b1173495e443f3f80a80fc2c

train

class

class QuizAnswerHandler(AbstractRequestHandler): """Handler for Answers to the Quiz.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return (is_intent_name("AnswerIntent")(han...

class QuizAnswerHandler(AbstractRequestHandler):

"""Handler for Answers to the Quiz.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return (is_intent_name("AnswerIntent")(handler_input) and state == "QUIZ") def handle(...

) questionSet = attr["questionSet"] speak_output = getQuestion(questionSet, questionNumber) reprompt = questionHelp(questionSet, questionNumber) return (handler_input.response_builder.speak(speak_output).ask(reprompt).response) else: speak_output = h...

92

308

8

84

InfernapeXavier/song-match

lambda_function.py

Python

QuizAnswerHandler

118

155

118

5dbc37302261506878f751a2c5f69d7f0c4a37a0

bigcode/the-stack

train

c5e38b5968de551868f8d30e

train

class

class FallbackIntentHandler(AbstractRequestHandler): """The fallback intent handles all "Unknown" requests.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("AMAZON.FallbackIntent")(handler_input) def handle(self, handler_input): ...

class FallbackIntentHandler(AbstractRequestHandler):

"""The fallback intent handles all "Unknown" requests.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("AMAZON.FallbackIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response speak_o...

Input) -> bool return ask_utils.is_request_type("SessionEndedRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response # Any cleanup logic goes here. return handler_input.response_builder.response class FallbackIntentHandler(AbstractRequestHandle...

64

113

9

54

InfernapeXavier/song-match

lambda_function.py

Python

FallbackIntentHandler

221

233

221

51544796637a71570a8c538c1e9ee97455273ca3

bigcode/the-stack

train

c41e6dbd17746d9d30daba38

train

class

class LaunchRequestHandler(AbstractRequestHandler): """ Handler for Skill Launch """ def can_handle(self, handler_input): return is_request_type("LaunchRequest")(handler_input) def handle(self, handler_input): speech = welcomeMessage reprompt = welcomeReprompt attr ...

class LaunchRequestHandler(AbstractRequestHandler):

""" Handler for Skill Launch """ def can_handle(self, handler_input): return is_request_type("LaunchRequest")(handler_input) def handle(self, handler_input): speech = welcomeMessage reprompt = welcomeReprompt attr = handler_input.attributes_manager.session_attribute...

import json import locale import requests import calendar from ask_sdk_s3.adapter import S3Adapter s3_adapter = S3Adapter(bucket_name=os.environ["S3_PERSISTENCE_BUCKET"]) logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) class LaunchRequestHandler(AbstractRequestHandler):

64

104

8

56

InfernapeXavier/song-match

lambda_function.py

Python

LaunchRequestHandler

31

46

31

47ff53126e1073a82a1155bbd2053490f3901d37

bigcode/the-stack

train

73b726315ada687dc7f7b3c9

train

class

class HelpIntentHandler(AbstractRequestHandler): """Handler for Help Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("AMAZON.HelpIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Respons...

class HelpIntentHandler(AbstractRequestHandler):

"""Handler for Help Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_intent_name("AMAZON.HelpIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response attr = handler_input.attributes_manager...

, score) song = attr['song'] speak_output = finalResponse(artistName, song) attr["state"] = "INITIALIZING" handler_input.response_builder.speak( speak_output).ask(exitMessage) return (handler_input.response_builder.response) class HelpIntentHan...

66

220

8

58

InfernapeXavier/song-match

lambda_function.py

Python

HelpIntentHandler

158

187

158

2d6da43eb9dd2e6636033f812a251338740e5bda

bigcode/the-stack

train

1b4d03107d490d9b99228ab3

train

class

class StartQuizIntentHandler(AbstractRequestHandler): """Handler for Starting the Quiz.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return ( ( ...

class StartQuizIntentHandler(AbstractRequestHandler):

"""Handler for Starting the Quiz.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return ( ( is_intent_name("StartQuizIntent")(handler_input) or ...

.slots attr = handler_input.attributes_manager.session_attributes artist = slots["artistName"].value attr["artist"] = artist speak_output = capturedArtist(artist) + " " + startQuiz(artist) reprompt = helpWithQuizMessage(artist) return (handler_input.response_builder.sp...

90

303

9

81

InfernapeXavier/song-match

lambda_function.py

Python

StartQuizIntentHandler

74

115

74

430847c82c4e8af5719a99a3c016e303a7f12bd2

bigcode/the-stack

train

e6a4b0bf5ce6de32e656b89b

train

class

class CatchAllExceptionHandler(AbstractExceptionHandler): """Generic error handling to capture any syntax or routing errors. If you receive an error stating the request handler chain is not found, you have not implemented a handler for the intent being invoked or included it in the skill builder below. ...

class CatchAllExceptionHandler(AbstractExceptionHandler):

"""Generic error handling to capture any syntax or routing errors. If you receive an error stating the request handler chain is not found, you have not implemented a handler for the intent being invoked or included it in the skill builder below. """ def can_handle(self, handler_input, exception): ...

_utils.is_intent_name("AMAZON.FallbackIntent")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response speak_output = fallbackErrorMessage reprompt = errorMessage return (handler_input.response_builder.speak(speak_output).ask(reprompt).response) class Cat...

78

261

9

69

InfernapeXavier/song-match

lambda_function.py

Python

CatchAllExceptionHandler

236

268

236

2d1548a0b21b6d232d90c012aa9bcd7fb6db286b

bigcode/the-stack

train

c77ef5ff5be6c48ed525ca9c

train

class

class CaptureArtistIntentHandler(AbstractRequestHandler): """Handler for Capturing the Favorite Artist.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return (is_intent_name(...

class CaptureArtistIntentHandler(AbstractRequestHandler):

"""Handler for Capturing the Favorite Artist.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool attr = handler_input.attributes_manager.session_attributes state = attr["state"] return (is_intent_name("CaptureArtistIntent")(handler_input) and (state != "QUIZ"...

= welcomeMessage reprompt = welcomeReprompt attr = handler_input.attributes_manager.session_attributes attr["state"] = "INITIALIZING" handler_input.response_builder.speak(speech).ask(reprompt) return handler_input.response_builder.response class CaptureArtistIntentHandler(Abstr...

64

189

9

54

InfernapeXavier/song-match

lambda_function.py

Python

CaptureArtistIntentHandler

49

71

49

e38fabba347497c051334a3ee80bf11e1216e1c4

bigcode/the-stack

train

4adc9e81f6208a9d648c5289

train

class

class CancelOrStopIntentHandler(AbstractRequestHandler): """Single handler for Cancel and Stop Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return (ask_utils.is_intent_name("AMAZON.CancelIntent")(handler_input) or ask_utils.is_in...

class CancelOrStopIntentHandler(AbstractRequestHandler):

"""Single handler for Cancel and Stop Intent.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return (ask_utils.is_intent_name("AMAZON.CancelIntent")(handler_input) or ask_utils.is_intent_name("AMAZON.StopIntent")(handler_input)) def h...

= attr["questionNumber"] artist = attr["artist"] questionSet = attr["questionSet"] speak_output = questionHelp(questionSet, question) return (handler_input.response_builder.speak(speak_output).ask( errorMessage).response) class CancelOrStopIntentHandler(Abstract...

64

120

10

54

InfernapeXavier/song-match

lambda_function.py

Python

CancelOrStopIntentHandler

190

203

190

e1efaf291ff41d5ae9503a445fda20a5bb738302

bigcode/the-stack

train

3575ed28f58efdaa904fb98f

train

class

class SessionEndedRequestHandler(AbstractRequestHandler): """Handler for Session End.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_request_type("SessionEndedRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput...

class SessionEndedRequestHandler(AbstractRequestHandler):

"""Handler for Session End.""" def can_handle(self, handler_input): # type: (HandlerInput) -> bool return ask_utils.is_request_type("SessionEndedRequest")(handler_input) def handle(self, handler_input): # type: (HandlerInput) -> Response # Any cleanup logic goes here. ...

.is_intent_name("AMAZON.StopIntent")(handler_input)) def handle(self, handler_input): # type: (HandlerInput) -> Response speak_output = goodbyeMessage return (handler_input.response_builder.speak(speak_output).response) class SessionEndedRequestHandler(AbstractRequestHandler):

64

86

9

55

InfernapeXavier/song-match

lambda_function.py

Python

SessionEndedRequestHandler

206

218

206

2b769bf3aa8af5feda7a3a1d4c851ff461df694d

bigcode/the-stack

train

f219c7f9501d9a98e1f57d57

train

class

class NMF(): # XXX: lr_shrink_rate is not used here... how to put it to the equation? def __init__( self, n_users, n_items, n_factors=15, n_epochs=50, lr=.005, lr_bias=None, lr_latent=None, lmbda=.02, lmbda_bias=None, lmbda_latent=None, lr_shrink_rate=.9): self....

class NMF(): # XXX: lr_shrink_rate is not used here... how to put it to the equation?

def __init__( self, n_users, n_items, n_factors=15, n_epochs=50, lr=.005, lr_bias=None, lr_latent=None, lmbda=.02, lmbda_bias=None, lmbda_latent=None, lr_shrink_rate=.9): self.n_users = n_users self.n_items = n_items self.n_epochs = n_epochs ...

# Hung-Hsuan Chen <hhchen1105@gmail.com> # Creation Date : 09-02-2017 # Last Modified: Sat 28 Apr 2018 06:41:15 AM CST import collections import numpy as np class NMF(): # XXX: lr_shrink_rate is not used here... how to put it to the equation?

79

256

1,952

25

53

GroupMovieNight/group-movie-recommendation

testing/nmf.py

Python

NMF

9

168

9

10

40ad7fb8fb0a53b9f3ef84f5ca4c65283b6b154b

bigcode/the-stack

train

4da975619f6d580c8cf23951

train

class

class MetaflowTask(object): """ MetaflowTask prepares a Flow instance for execution of a single step. """ def __init__(self, flow, datastore, metadata, environment, console_logger, event_logger, ...

class MetaflowTask(object):

""" MetaflowTask prepares a Flow instance for execution of a single step. """ def __init__(self, flow, datastore, metadata, environment, console_logger, event_logger, monitor): ...

from __future__ import print_function import sys import os import time from .metaflow_config import MAX_ATTEMPTS from .metadata import MetaDatum from .datastore import Inputs, MetaflowDatastoreSet from .exception import MetaflowInternalError,\ MetaflowDataMissing,\ MetaflowExceptionWrapper from .util import al...

134

256

3,538

7

127

patrickjohncyh/metaflow

metaflow/task.py

Python

MetaflowTask

23

482

23

d4cda1094b77aa13e937eab5dee364eeff9f7d54

bigcode/the-stack

train

c4f89995a886519a5d8d6279

train

class

class MetastoreUpdateKafkaTopicBatchRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'Emr', '2016-04-08', 'MetastoreUpdateKafkaTopicBatch') def get_ResourceOwnerId(self): return self.get_query_params().get('ResourceOwnerId') def set_ResourceOwnerId(self,ResourceOwnerId): self.add_que...

class MetastoreUpdateKafkaTopicBatchRequest(RpcRequest):

def __init__(self): RpcRequest.__init__(self, 'Emr', '2016-04-08', 'MetastoreUpdateKafkaTopicBatch') def get_ResourceOwnerId(self): return self.get_query_params().get('ResourceOwnerId') def set_ResourceOwnerId(self,ResourceOwnerId): self.add_query_param('ResourceOwnerId',ResourceOwnerId) def get_To...

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. from aliyunsdkcore.request import RpcRequest class MetastoreUpdateKafkaTopicBatchRequest(RpcRequest):

67

226

12

54

sdk-team/aliyun-openapi-python-sdk

aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/MetastoreUpdateKafkaTopicBatchRequest.py

Python

MetastoreUpdateKafkaTopicBatchRequest

21

40

21

22

d5451666823d493404aaf3672faf513bb7f1af2c

bigcode/the-stack

train

4213a498b4c03f1f98c980c4

train

class

class HumanOracle(IOracle): def __init__(self, labels): self.accepts = [label["concept"] for label in labels if label["value"] == "accept"] self.rejects = [label["concept"] for label in labels if label["value"] == "reject"] def get_labels(self, samples): a = [sample for sample in sample...

class HumanOracle(IOracle):

def __init__(self, labels): self.accepts = [label["concept"] for label in labels if label["value"] == "accept"] self.rejects = [label["concept"] for label in labels if label["value"] == "reject"] def get_labels(self, samples): a = [sample for sample in samples if sample in self.accepts]...

from algorithms.oracle.IOracle import IOracle class HumanOracle(IOracle):

15

64

113

6

8

avineshpvs/vldb2018-sherlock

ukpsummarizer-be/summarizer/algorithms/oracle/human_oracle.py

Python

HumanOracle

4

13

4

83d99773172c1cd8a72c031c980f3af393c821f4

bigcode/the-stack

train

300a4beca1ab62f65132fb4f

train

class

class TestPromise(unittest.TestCase): @async_test async def test_resolved(self): result = None def f(resolve, reject): resolve(42) def g(x): nonlocal result result = x p = Promise(f) p.then(g) await asyncio.sleep(0) ...

class TestPromise(unittest.TestCase): @async_test

async def test_resolved(self): result = None def f(resolve, reject): resolve(42) def g(x): nonlocal result result = x p = Promise(f) p.then(g) await asyncio.sleep(0) while result is None: await asyncio.sleep(...

import asyncio import unittest import pytest import promisio from promisio import Promise, promisify from .utils import async_test, get_fake_error class TestPromise(unittest.TestCase): @async_test

45

256

1,869

12

32

miguelgrinberg/promisio

tests/test_promise.py

Python

TestPromise

9

331

9

10

dd38efa8e2add27b4efc8b82145cf509b7640428

bigcode/the-stack

train

a6fa3df0f0274eef3ee67a88

train

class

class FileProxyMixin: """ A mixin class used to forward file methods to an underlaying file object. The internal file object has to be called "file":: class FileProxy(FileProxyMixin): def __init__(self, file): self.file = file """ encoding = property(lambda sel...

class FileProxyMixin:

""" A mixin class used to forward file methods to an underlaying file object. The internal file object has to be called "file":: class FileProxy(FileProxyMixin): def __init__(self, file): self.file = file """ encoding = property(lambda self: self.file.encoding)...

class FileProxyMixin:

5

114

383

5

0

Lucas11200/LocaPy

Lib/site-packages/django/core/files/utils.py

Python

FileProxyMixin

1

52

1

efa5a45aa9ad5c3da3670905d30a1302b8a40779

bigcode/the-stack

train

3192a2dad70834a0ccd97c42

train

class

class TokenEmulate(AuthAPIView): """ This API allows already-authenticated users to request a new token that will emulate a user that is not their own. Due to the obvious security concerns, only 'staff' accounts or tokens owned by an administrator will be allowed. """ def get(self, request...

class TokenEmulate(AuthAPIView):

""" This API allows already-authenticated users to request a new token that will emulate a user that is not their own. Due to the obvious security concerns, only 'staff' accounts or tokens owned by an administrator will be allowed. """ def get(self, request, username): """ C...

""" Atmosphere service user rest api. """ from rest_framework.response import Response from rest_framework import status from threepio import logger from atmosphere.settings import secrets from django_cyverse_auth.models import get_or_create_token from core.models import AtmosphereUser from api.v1.serializers impo...

82

117

391

7

74

xuhang57/atmosphere

api/v1/views/token.py

Python

TokenEmulate

19

59

19

20

08a83b2d94386557d40b187224f4429a33f6fa76

bigcode/the-stack

train

eae42d9c8706d8f57edc8407

train

function

def generate_admin(): admin = User( username="admin", password="admin", email="admin@admin", is_admin=True ) db.session.add(admin) db.session.commit() return admin

def generate_admin():

admin = User( username="admin", password="admin", email="admin@admin", is_admin=True ) db.session.add(admin) db.session.commit() return admin

05 @LastEditTime: 2019-08-29 18:01:56 ''' import uuid from app.models import InvitationCode, db, User # from flask import current_app from app import create_app app = create_app() app.app_context().push() def generate_admin():

64

46

4

60

Ciyfly/web_info_monitor

server/app/utils/invitationcode_util.py

Python

generate_admin

16

23

16

8f4c2955f88aa4b6e9acd9ae0b2147ca13dcffa9

bigcode/the-stack

train

bd813ea7753eb6760c410acd

train

function

def generate_invitationcode(): invitationcode = str(uuid.uuid1()).replace("-", "") current_app.logger.info(f"生成邀请码: {invitationcode}") invitationcode = InvitationCode( invitation_code=invitationcode ) db.session.add(invitationcode) db.session.commit() ...

def generate_invitationcode():

invitationcode = str(uuid.uuid1()).replace("-", "") current_app.logger.info(f"生成邀请码: {invitationcode}") invitationcode = InvitationCode( invitation_code=invitationcode ) db.session.add(invitationcode) db.session.commit() return invitationcode

app = create_app() app.app_context().push() def generate_admin(): admin = User( username="admin", password="admin", email="admin@admin", is_admin=True ) db.session.add(admin) db.session.commit() return admin def generate_invitationcode():

64

68

6

57

Ciyfly/web_info_monitor

server/app/utils/invitationcode_util.py

Python

generate_invitationcode

25

33

25

b7c9574afd31ac0340330ea67b29ac99a4731297

bigcode/the-stack

train

bedb8bd2d9600bc116b3ab95

train

class

class PrototypicalBatchSampler(object): ''' PrototypicalBatchSampler: yield a batch of indexes at each iteration. Indexes are calculated by keeping in account 'classes_per_it', 'num_support', 'num_query', In fact at every iteration the batch indexes will refer to 'num_support' + 'num_query' samples ...

class PrototypicalBatchSampler(object):

''' PrototypicalBatchSampler: yield a batch of indexes at each iteration. Indexes are calculated by keeping in account 'classes_per_it', 'num_support', 'num_query', In fact at every iteration the batch indexes will refer to 'num_support' + 'num_query' samples for 'classes_per_it' random classes. ...

# coding=utf-8 import numpy as np class PrototypicalBatchSampler(object):

20

160

536

9

10

Anyesh/Prototypical-Networks-for-Few-shot-Learning-PyTorch

src/prototypical_batch_sampler.py

Python

PrototypicalBatchSampler

5

61

5

8f9666b1063d08b23a5d02a87a8efa98bed8e25b

bigcode/the-stack

train

a935e26604b47c3a7a4faf58

train

class

class Ranged(weapon.Weapon): def __init__(self, name, description, value, weight, damage, range, type, equip_message, unequip_message, *args): self.damage = damage self.type = type self.range = range super().__init__(name, description, value, weight, equip_message, unequip_message)

class Ranged(weapon.Weapon):

def __init__(self, name, description, value, weight, damage, range, type, equip_message, unequip_message, *args): self.damage = damage self.type = type self.range = range super().__init__(name, description, value, weight, equip_message, unequip_message)

__init__(self, name, description, value, weight, damage, type, equip_message, unequip_message): self.damage = damage self.type = type super().__init__(name, description, value, weight, equip_message, unequip_message) class Ranged(weapon.Weapon):

64

77

8

56

DVDTSB/py-text

py-venture/premade/classes/weapons_types.py

Python

Ranged

8

13

8

6dd44ac6b7a80021d8f60f5a17aeed59ef600701

bigcode/the-stack

train

33d5b989a6bd02f54651fdff

train

class

class Meele(weapon.Weapon): def __init__(self, name, description, value, weight, damage, type, equip_message, unequip_message): self.damage = damage self.type = type super().__init__(name, description, value, weight, equip_message, unequip_message)

class Meele(weapon.Weapon):

def __init__(self, name, description, value, weight, damage, type, equip_message, unequip_message): self.damage = damage self.type = type super().__init__(name, description, value, weight, equip_message, unequip_message)

import modules.weapon as weapon class Meele(weapon.Weapon):

14

64

66

8

5

DVDTSB/py-text

py-venture/premade/classes/weapons_types.py

Python

Meele

2

6

2

9312e2d114fd6893bda6db2d262f1dd9d629e11b

bigcode/the-stack

train

561d1ece5a247c5241a1ecd4

train

class

@challenges_namespace.route("/<challenge_id>") class Challenge(Resource): @check_challenge_visibility @during_ctf_time_only @require_verified_emails @challenges_namespace.doc( description="Endpoint to get a specific Challenge object", responses={ 200: ("Success", "ChallengeDe...

def get(self, challenge_id): if is_admin(): chal = Challenges.query.filter(Challenges.id == challenge_id).first_or_404() else: chal = Challenges.query.filter( Challenges.id == challenge_id, and_(Challenges.state != "hidden", Challenges.state !=...

_type) challenge = challenge_class.create(request) response = challenge_class.read(challenge) return {"success": True, "data": response} @challenges_namespace.route("/types") class ChallengeTypes(Resource): @admins_only def get(self): response = {} for class_id in CHAL...

256

1,376

101

155

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

Challenge

261

462

261

275

54b0694dd229d3080936fe39fbda8ebd71f900bf

bigcode/the-stack

train

2662ad8b8eddec73e5885ed9

train

class

@challenges_namespace.route("/attempt") class ChallengeAttempt(Resource): @check_challenge_visibility @during_ctf_time_only @require_verified_emails def post(self): if authed() is False: return {"success": True, "data": {"status": "authentication_required"}}, 403 if request....

@challenges_namespace.route("/attempt") class ChallengeAttempt(Resource): @check_challenge_visibility @during_ctf_time_only @require_verified_emails

def post(self): if authed() is False: return {"success": True, "data": {"status": "authentication_required"}}, 403 if request.content_type != "application/json": request_data = request.form else: request_data = request.get_json() challenge_id = r...

", ), }, ) def patch(self, challenge_id): data = request.get_json() # Load data through schema for validation but not for insertion schema = ChallengeSchema() response = schema.load(data) if response.errors: return {"success": False, "erro...

256

1,375

35

221

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeAttempt

465

667

465

469

491e3db3ab032d7f5fabc50e7b3dd6925078202d

bigcode/the-stack

train

edf33df5beed726b889451f3

train

class

class ChallengeListSuccessResponse(APIListSuccessResponse): data: List[ChallengeModel]

class ChallengeListSuccessResponse(APIListSuccessResponse):

data: List[ChallengeModel]

", description="Endpoint to retrieve Challenges" ) ChallengeModel = sqlalchemy_to_pydantic(Challenges) TransientChallengeModel = sqlalchemy_to_pydantic(Challenges, exclude=["id"]) class ChallengeDetailedSuccessResponse(APIDetailedSuccessResponse): data: ChallengeModel class ChallengeListSuccessResponse(APIListSu...

64

18

10

53

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeListSuccessResponse

65

66

65

656cdb0876df727d0ece2e3e8eab1271dd5c89a6

bigcode/the-stack

train

3c78aa7c8e8c21cc5f293f46

train

class

@challenges_namespace.route("/<challenge_id>/tags") class ChallengeTags(Resource): @admins_only def get(self, challenge_id): response = [] tags = Tags.query.filter_by(challenge_id=challenge_id).all() for t in tags: response.append( {"id": t.id, "challenge_id...

@challenges_namespace.route("/<challenge_id>/tags") class ChallengeTags(Resource): @admins_only

def get(self, challenge_id): response = [] tags = Tags.query.filter_by(challenge_id=challenge_id).all() for t in tags: response.append( {"id": t.id, "challenge_id": t.challenge_id, "value": t.value} ) return {"success": True, "data": response...

all() for f in challenge_files: response.append({"id": f.id, "type": f.type, "location": f.location}) return {"success": True, "data": response} @challenges_namespace.route("/<challenge_id>/tags") class ChallengeTags(Resource): @admins_only

64

95

22

42

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeTags

732

744

732

734

5b2dbb11c1807359135c7f4a631639584caf63f0

bigcode/the-stack

train

85960bccdee8d5fcadb7c8fa

train

class

@challenges_namespace.route("/<challenge_id>/flags") class ChallengeFlags(Resource): @admins_only def get(self, challenge_id): flags = Flags.query.filter_by(challenge_id=challenge_id).all() schema = FlagSchema(many=True) response = schema.dump(flags) if response.errors: ...

@challenges_namespace.route("/<challenge_id>/flags") class ChallengeFlags(Resource): @admins_only

def get(self, challenge_id): flags = Flags.query.filter_by(challenge_id=challenge_id).all() schema = FlagSchema(many=True) response = schema.dump(flags) if response.errors: return {"success": False, "errors": response.errors}, 400 return {"success": True, "data"...

response = schema.dump(hints) if response.errors: return {"success": False, "errors": response.errors}, 400 return {"success": True, "data": response.data} @challenges_namespace.route("/<challenge_id>/flags") class ChallengeFlags(Resource): @admins_only

64

96

22

42

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeFlags

761

772

761

763

d93d77dcb46ccf7271a523ec58c4b6a769ec54c9

bigcode/the-stack

train

423e8f05f0a1f9e949707898

train

class

@challenges_namespace.route("/<challenge_id>/solves") class ChallengeSolves(Resource): @check_challenge_visibility @check_score_visibility @during_ctf_time_only @require_verified_emails def get(self, challenge_id): response = [] challenge = Challenges.query.filter_by(id=challenge_id)...

@challenges_namespace.route("/<challenge_id>/solves") class ChallengeSolves(Resource): @check_challenge_visibility @check_score_visibility @during_ctf_time_only @require_verified_emails

def get(self, challenge_id): response = [] challenge = Challenges.query.filter_by(id=challenge_id).first_or_404() # TODO: Need a generic challenge visibility call. # However, it should be stated that a solve on a gated challenge is not considered private. if challenge.state ...

=challenge_id, kpm=kpm, ) return { "success": True, "data": { "status": "already_solved", "message": "You already solved this", }, } @challenges_namespace.route("/<challenge_id>/so...

96

323

47

49

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeSolves

670

714

670

675

939da51d99d98164ef4641c5b1b42676d71a5565

bigcode/the-stack

train

b7595a407f79c1aa5b2c54d0

train

class

@challenges_namespace.route("/<challenge_id>/files") class ChallengeFiles(Resource): @admins_only def get(self, challenge_id): response = [] challenge_files = ChallengeFilesModel.query.filter_by( challenge_id=challenge_id ).all() for f in challenge_files: ...

@challenges_namespace.route("/<challenge_id>/files") class ChallengeFiles(Resource): @admins_only

def get(self, challenge_id): response = [] challenge_files = ChallengeFilesModel.query.filter_by( challenge_id=challenge_id ).all() for f in challenge_files: response.append({"id": f.id, "type": f.type, "location": f.location}) return {"success": Tru...

, "date": isoformat(solve.date), "account_url": generate_account_url(account_id=solve.account_id), } ) return {"success": True, "data": response} @challenges_namespace.route("/<challenge_id>/files") class ChallengeFiles(Resource): @admins_...

64

96

22

42

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeFiles

717

729

717

719

bacb70770a67ec1690b996ffaeff1853c6d63902

bigcode/the-stack

train

d6f6b96fed497ca16316fa8d

train

class

@challenges_namespace.route("/<challenge_id>/hints") class ChallengeHints(Resource): @admins_only def get(self, challenge_id): hints = Hints.query.filter_by(challenge_id=challenge_id).all() schema = HintSchema(many=True) response = schema.dump(hints) if response.errors: ...

@challenges_namespace.route("/<challenge_id>/hints") class ChallengeHints(Resource): @admins_only

def get(self, challenge_id): hints = Hints.query.filter_by(challenge_id=challenge_id).all() schema = HintSchema(many=True) response = schema.dump(hints) if response.errors: return {"success": False, "errors": response.errors}, 400 return {"success": True, "data"...

tags: response.append( {"id": t.id, "challenge_id": t.challenge_id, "value": t.value} ) return {"success": True, "data": response} @challenges_namespace.route("/<challenge_id>/hints") class ChallengeHints(Resource): @admins_only

64

99

23

41

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeHints

747

758

747

749

6f941647e13d955fb4783caff9d52332db95dd64

bigcode/the-stack

train

c573c6401a08b383dc584899

train

class

@challenges_namespace.route("/<challenge_id>/requirements") class ChallengeRequirements(Resource): @admins_only def get(self, challenge_id): challenge = Challenges.query.filter_by(id=challenge_id).first_or_404() return {"success": True, "data": challenge.requirements}

@challenges_namespace.route("/<challenge_id>/requirements") class ChallengeRequirements(Resource): @admins_only

def get(self, challenge_id): challenge = Challenges.query.filter_by(id=challenge_id).first_or_404() return {"success": True, "data": challenge.requirements}

) response = schema.dump(flags) if response.errors: return {"success": False, "errors": response.errors}, 400 return {"success": True, "data": response.data} @challenges_namespace.route("/<challenge_id>/requirements") class ChallengeRequirements(Resource): @admins_only

64

61

22

42

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeRequirements

775

780

775

777

d6e2bba7ffa7e41f028e8725b198560737e63e5d

bigcode/the-stack

train

1980a0095bd35ea08529a68e

train

class

class ChallengeDetailedSuccessResponse(APIDetailedSuccessResponse): data: ChallengeModel

class ChallengeDetailedSuccessResponse(APIDetailedSuccessResponse):

data: ChallengeModel

_current_user, is_admin challenges_namespace = Namespace( "challenges", description="Endpoint to retrieve Challenges" ) ChallengeModel = sqlalchemy_to_pydantic(Challenges) TransientChallengeModel = sqlalchemy_to_pydantic(Challenges, exclude=["id"]) class ChallengeDetailedSuccessResponse(APIDetailedSuccessResponse...

63

64

17

11

52

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeDetailedSuccessResponse

61

62

61

d62a956a49cd8e84da1fc1984d29cb385d16c532

bigcode/the-stack

train

ee54bacba43881674406e420

train

class

@challenges_namespace.route("/types") class ChallengeTypes(Resource): @admins_only def get(self): response = {} for class_id in CHALLENGE_CLASSES: challenge_class = CHALLENGE_CLASSES.get(class_id) response[challenge_class.id] = { "id": challenge_class.id,...

@challenges_namespace.route("/types") class ChallengeTypes(Resource): @admins_only

def get(self): response = {} for class_id in CHALLENGE_CLASSES: challenge_class = CHALLENGE_CLASSES.get(class_id) response[challenge_class.id] = { "id": challenge_class.id, "name": challenge_class.name, "templates": challenge_c...

= data["type"] challenge_class = get_chal_class(challenge_type) challenge = challenge_class.create(request) response = challenge_class.read(challenge) return {"success": True, "data": response} @challenges_namespace.route("/types") class ChallengeTypes(Resource): @admins_only

64

124

18

46

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeTypes

241

258

241

243

b39d62c91f24890cda14cd4d926dc6d9cc5df87c

bigcode/the-stack

train

1cbb7099fa8f875231e4825a

train

class

@challenges_namespace.route("") class ChallengeList(Resource): @check_challenge_visibility @during_ctf_time_only @require_verified_emails @challenges_namespace.doc( description="Endpoint to get Challenge objects in bulk", responses={ 200: ("Success", "ChallengeListSuccessResp...

def get(self, query_args): # Build filtering queries q = query_args.pop("q", None) field = str(query_args.pop("field", None)) filters = build_model_filters(model=Challenges, query=q, field=field) # This can return None (unauth) if visibility is set to public user = g...

( "ChallengeListSuccessResponse", ChallengeListSuccessResponse.apidoc() ) @challenges_namespace.route("") class ChallengeList(Resource): @check_challenge_visibility @during_ctf_time_only @require_verified_emails @challenges_namespace.doc( description="Endpoint to get Challenge objects in bul...

256

1,038

239

17

pynight-update/new-ctfd

CTFd/api/v1/challenges.py

Python

ChallengeList

78

238

78

117

e6178e6976260a939e21f502320e928f46691bad

bigcode/the-stack

train

2d947bd7f70d388b5967b0b4

train

function

def rsaset(tb,tff,nb,base,ml) : bd="B"+tb+"_"+base fnameh="config_big_"+bd+".h" run_in_shell(copytext+" config_big.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"@NB@",nb) replace(fnameh,"@BASE@",base) fnameh="config_ff_"+tff+".h" run_in_shell(copytext+" config_ff.h "+fnameh) replace(fnameh,"XXX",bd) r...

def rsaset(tb,tff,nb,base,ml) :

bd="B"+tb+"_"+base fnameh="config_big_"+bd+".h" run_in_shell(copytext+" config_big.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"@NB@",nb) replace(fnameh,"@BASE@",base) fnameh="config_ff_"+tff+".h" run_in_shell(copytext+" config_ff.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"WWW",tff) replac...

if sys.platform.startswith("darwin") : deltext="rm" copytext="cp" if sys.platform.startswith("win") : deltext="del" copytext="copy" def run_in_shell(cmd): subprocess.check_call(cmd, shell=True) def replace(namefile,oldtext,newtext): f = open(namefile,'r') filedata = f.read() f.close() newdata = filedata...

121

406

14

107

kirk-baird/amcl

version3/cpp/config16.py

Python

rsaset

31

77

31

2f0cb69beb6bbb27fc17f6857b1555639a7824c3

bigcode/the-stack

train

7ddc867d89671cb1a7990656

train

function

def run_in_shell(cmd): subprocess.check_call(cmd, shell=True)

def run_in_shell(cmd):

subprocess.check_call(cmd, shell=True)

="" if sys.platform.startswith("linux") : deltext="rm" copytext="cp" if sys.platform.startswith("darwin") : deltext="rm" copytext="cp" if sys.platform.startswith("win") : deltext="del" copytext="copy" def run_in_shell(cmd):

64

15

6

58

kirk-baird/amcl

version3/cpp/config16.py

Python

run_in_shell

16

17

16

2b88a41fdb8ad19bc4d6e0d0ffe48f71363dbb7f

bigcode/the-stack

train

95c2a4146b7a8773375311b4

train

function

def replace(namefile,oldtext,newtext): f = open(namefile,'r') filedata = f.read() f.close() newdata = filedata.replace(oldtext,newtext) f = open(namefile,'w') f.write(newdata) f.close()

def replace(namefile,oldtext,newtext):

f = open(namefile,'r') filedata = f.read() f.close() newdata = filedata.replace(oldtext,newtext) f = open(namefile,'w') f.write(newdata) f.close()

" if sys.platform.startswith("darwin") : deltext="rm" copytext="cp" if sys.platform.startswith("win") : deltext="del" copytext="copy" def run_in_shell(cmd): subprocess.check_call(cmd, shell=True) def replace(namefile,oldtext,newtext):

64

54

10

54

kirk-baird/amcl

version3/cpp/config16.py

Python

replace

19

28

19

7aaa3696f168cb03924bceb9eb8dd227aea9d61a

bigcode/the-stack

train

96f17049a70819498e429ac9

train

function

def curveset(tb,tf,tc,nb,base,nbt,m8,mt,ct,pf,stw,sx,ab,cs) : bd="B"+tb+"_"+base fnameh="config_big_"+bd+".h" run_in_shell(copytext+" config_big.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"@NB@",nb) replace(fnameh,"@BASE@",base) fnameh="config_field_"+tf+".h" run_in_shell(copytext+" config_field.h "+f...

def curveset(tb,tf,tc,nb,base,nbt,m8,mt,ct,pf,stw,sx,ab,cs) :

bd="B"+tb+"_"+base fnameh="config_big_"+bd+".h" run_in_shell(copytext+" config_big.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"@NB@",nb) replace(fnameh,"@BASE@",base) fnameh="config_field_"+tf+".h" run_in_shell(copytext+" config_field.h "+fnameh) replace(fnameh,"XXX",bd) replace(fnameh,"YYY",tf) re...

) replace(fnameh,"XXX",bd) run_in_shell("g++ -O3 -c "+fnamec) fnamec="ff_"+tff+".cpp" fnameh="ff_"+tff+".h" run_in_shell(copytext+" ff.cpp "+fnamec) run_in_shell(copytext+" ff.h "+fnameh) replace(fnamec,"WWW",tff) replace(fnamec,"XXX",bd) replace(fnameh,"WWW",tff) replace(fnameh,"XXX",bd) run_in_shell("g+...

256

1,683

33

223

kirk-baird/amcl

version3/cpp/config16.py

Python

curveset

79

260

79

4842978f243d6286154ad8a289fc45dfdd1a9d69

bigcode/the-stack

train

1b0e828b054745d59a3eadfc

train

function

def gumbel_softmax_sample(logits, temperature=1): y = logits + sample_gumbel(logits.size()) return F.softmax(y / temperature, dim=-1)

def gumbel_softmax_sample(logits, temperature=1):

y = logits + sample_gumbel(logits.size()) return F.softmax(y / temperature, dim=-1)

umbel_softmax_vae.py def sample_gumbel(shape, eps=1e-20): U = torch.rand(shape) U = U.cuda() return -torch.log(-torch.log(U + eps) + eps) def gumbel_softmax_sample(logits, temperature=1):

64

39

14

50

RICE-EIC/Auto-NBA

model_search.py

Python

gumbel_softmax_sample

28

30

28

cc22bbfa3193d08088c2104b32e45fc583d17720

bigcode/the-stack

train

fc7e21c5e6ca4140f226c6c0

train

function

def sample_gumbel(shape, eps=1e-20): U = torch.rand(shape) U = U.cuda() return -torch.log(-torch.log(U + eps) + eps)

def sample_gumbel(shape, eps=1e-20):

U = torch.rand(shape) U = U.cuda() return -torch.log(-torch.log(U + eps) + eps)

from thop import profile from analytical_model.analytical_prediction import search_for_best_latency, evaluate_latency # https://github.com/YongfeiYan/Gumbel_Softmax_VAE/blob/master/gumbel_softmax_vae.py def sample_gumbel(shape, eps=1e-20):

64

42

14

49

RICE-EIC/Auto-NBA

model_search.py

Python

sample_gumbel

22

25

22

fc81691ced264670d29a3d5070dd736de384ff63

bigcode/the-stack

train

2e2d405039da1851b8111e38

train

class

class MixedOp(nn.Module): def __init__(self, C_in, C_out, layer_id, stride=1, num_bits_list=[32], mode='soft', mode_bit='soft', act_num=1, act_num_bit=1, hetero=False, flops_mode='sum'): super(MixedOp, self).__init__() self._ops = nn.ModuleList() self.layer_id = layer_id self....

class MixedOp(nn.Module):

def __init__(self, C_in, C_out, layer_id, stride=1, num_bits_list=[32], mode='soft', mode_bit='soft', act_num=1, act_num_bit=1, hetero=False, flops_mode='sum'): super(MixedOp, self).__init__() self._ops = nn.ModuleList() self.layer_id = layer_id self.num_bits_list = num_bits_list...

.log(U + eps) + eps) def gumbel_softmax_sample(logits, temperature=1): y = logits + sample_gumbel(logits.size()) return F.softmax(y / temperature, dim=-1) def gumbel_softmax(logits, temperature=1, hard=False): """ ST-gumple-softmax input: [*, n_class] return: flatten --> [*, n_cl...

256

1,619

6

249

RICE-EIC/Auto-NBA

model_search.py

Python

MixedOp

56

197

56

57

bdf8933255c0ad1486c40127fc10127930eac2c1

bigcode/the-stack

train

6a296b350d19935fb756fa7b

train

class

class FBNet(nn.Module): def __init__(self, config): super(FBNet, self).__init__() self.hard = config.hard self.mode = config.mode self.mode_bit = config.mode_bit self.act_num = config.act_num self.act_num_bit = config.act_num_bit self.num_classes...

class FBNet(nn.Module):

def __init__(self, config): super(FBNet, self).__init__() self.hard = config.hard self.mode = config.mode self.mode_bit = config.mode_bit self.act_num = config.act_num self.act_num_bit = config.act_num_bit self.num_classes = config.num_classes ...

if type(self.num_bits_list) == list: bit_id = beta[op_id].argsort(descending=True)[0] result = alpha[op_id] * flops * beta[op_id][bit_id] * self.num_bits_list[bit_id] * self.num_bits_list[bit_id] /32 /32 else: result = alpha[op_id] * flops ...

256

2,212

6

249

RICE-EIC/Auto-NBA

model_search.py

Python

FBNet

201

442

201

7d59c31c1758ab796dabc828126ebf82fd902d8a

bigcode/the-stack

train

65c511d980edba01e2dc38bc

train

function

def gumbel_softmax(logits, temperature=1, hard=False): """ ST-gumple-softmax input: [*, n_class] return: flatten --> [*, n_class] an one-hot vector """ y = gumbel_softmax_sample(F.log_softmax(logits, dim=-1), temperature) return y

def gumbel_softmax(logits, temperature=1, hard=False):

""" ST-gumple-softmax input: [*, n_class] return: flatten --> [*, n_class] an one-hot vector """ y = gumbel_softmax_sample(F.log_softmax(logits, dim=-1), temperature) return y

torch.log(U + eps) + eps) def gumbel_softmax_sample(logits, temperature=1): y = logits + sample_gumbel(logits.size()) return F.softmax(y / temperature, dim=-1) def gumbel_softmax(logits, temperature=1, hard=False):

64

77

16

48

RICE-EIC/Auto-NBA

model_search.py

Python

gumbel_softmax

33

41

33

e656489e661094c9156639d269025ac1c79a02e7

bigcode/the-stack

train

728c7e9bd862c459811300ca

train

class

class GetQualificationUploadPolicyRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'Domain', '2018-01-29', 'GetQualificationUploadPolicy') self.set_method('POST') if hasattr(self, "endpoint_map"): setattr(self, "endpoint_map", endpoint_data.getEndpointMap()) if hasattr(self, "endpoint_re...

class GetQualificationUploadPolicyRequest(RpcRequest):

def __init__(self): RpcRequest.__init__(self, 'Domain', '2018-01-29', 'GetQualificationUploadPolicy') self.set_method('POST') if hasattr(self, "endpoint_map"): setattr(self, "endpoint_map", endpoint_data.getEndpointMap()) if hasattr(self, "endpoint_regional"): setattr(self, "endpoint_regional", endpoint...

WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. from aliyunsdkcore.request import RpcRequest from aliyunsdkdomain.endpoint import endpoint_data class GetQualificationUploadPolicyRequest(RpcReques...

64

180

10

53

yndu13/aliyun-openapi-python-sdk

aliyun-python-sdk-domain/aliyunsdkdomain/request/v20180129/GetQualificationUploadPolicyRequest.py

Python

GetQualificationUploadPolicyRequest

23

44

23

24

2c8f4dff28a11d6f2f201e7755bf3c116503a601

bigcode/the-stack

train

700154db635e157896c1205f

train

class

class CategoriesService(Protocol): async def get_all(self) -> list[ProductCategory]: ...

class CategoriesService(Protocol):

async def get_all(self) -> list[ProductCategory]: ...

from typing import Protocol from app.core.models import ProductCategory class CategoriesService(Protocol):

19

64

21

6

12

t3m8ch/aiogram-dialog-store

app/core/abstractions/services/categories.py

Python

CategoriesService

6

8

6

a0ddef8fee10143f3fc2a4463511cff875942d5a

bigcode/the-stack

train

91c6357973d1b8d2e1abc173

train

function

def get_all_commit_info( user_id: str, name_with_owner: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> List[RESTRawCommit]: """Gets all user's commit times for a given repository""" owner, repo = name_with_owner.split("/") data: List[RESTRawCommit...

def get_all_commit_info( user_id: str, name_with_owner: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> List[RESTRawCommit]:

"""Gets all user's commit times for a given repository""" owner, repo = name_with_owner.split("/") data: List[RESTRawCommit] = [] def _get_repo_commits(page: int): return get_repo_commits( owner, repo, user_id, start_date, end_date, page, access_token ) for i in range(1...

.occurred_at)) ) return repo_contribs def get_all_commit_info( user_id: str, name_with_owner: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> List[RESTRawCommit]:

64

179

50

13

rutvikpadhiyar000/github-trends

backend/src/subscriber/aggregation/user/contributions.py

Python

get_all_commit_info

84

106

84

90

2a7f9b79d9cfee8272df296ffc0c946ea3fa3e0c

bigcode/the-stack

train

d9393755deade1440f5da1fe

train

function

async def get_contributions( user_id: str, start_date: date = date.today() - timedelta(365), end_date: date = date.today(), timezone_str: str = "US/Eastern", full: bool = False, access_token: Optional[str] = None, ) -> Union[UserContributions, FullUserContributions]: tz = pytz.timezone(timez...

async def get_contributions( user_id: str, start_date: date = date.today() - timedelta(365), end_date: date = date.today(), timezone_str: str = "US/Eastern", full: bool = False, access_token: Optional[str] = None, ) -> Union[UserContributions, FullUserContributions]:

tz = pytz.timezone(timezone_str) start = datetime.now() # Step 1: get years for contribution calendar (GraphQL) years = sorted( filter( lambda x: start_date.year <= x <= end_date.year, get_user_contribution_years(user_id, access_token), ) ) dates = [ ...

def get_all_commit_info( user_id: str, name_with_owner: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> List[RESTRawCommit]: """Gets all user's commit times for a given repository""" owner, repo = name_with_owner.split("/") data: List[RESTRawCom...

256

3,274

76

179

rutvikpadhiyar000/github-trends

backend/src/subscriber/aggregation/user/contributions.py

Python

get_contributions

109

485

109

116

b7cc5493d11c4fad45f4c1c29fa3d76e3b0df8ad

bigcode/the-stack

train

cef42e14558a9bf3e32ffda8

train

function

def get_user_all_contribution_events( user_id: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> t_stats: repo_contribs: t_stats = defaultdict( lambda: {"commits": [], "issues": [], "prs": [], "reviews": [], "repos": []} ) after: Optional[str] = ...

def get_user_all_contribution_events( user_id: str, start_date: datetime, end_date: datetime, access_token: Optional[str] = None, ) -> t_stats:

repo_contribs: t_stats = defaultdict( lambda: {"commits": [], "issues": [], "prs": [], "reviews": [], "repos": []} ) after: Optional[str] = "" cont = True while cont: after_str = after if isinstance(after, str) else "" response = get_user_contribution_events( user...

Dict[str, List[Union[RawEventsEvent, RawEventsCommit]]]] t_commits = List[Dict[str, Union[Dict[str, Dict[str, Union[str, int]]], str]]] t_languages = List[Dict[str, Dict[str, Union[str, int]]]] def get_user_all_contribution_events( user_id: str, start_date: datetime, end_date: datetime, access_token: O...

100

101

338

41

59

rutvikpadhiyar000/github-trends

backend/src/subscriber/aggregation/user/contributions.py

Python

get_user_all_contribution_events

36

81

36

41

150f706feb9c4d3a53124a43dcba1ba61a2624c6

bigcode/the-stack

train

44f08ea6f5816267760d7399

train

function

def read_worker(args, q_in, q_out): while True: deq = q_in.get() if deq is None: break i, item = deq audio_encode(args, i, item, q_out)

def read_worker(args, q_in, q_out):

while True: deq = q_in.get() if deq is None: break i, item = deq audio_encode(args, i, item, q_out)

parse.ArgumentDefaultsHelpFormatter, description='Create an image list or \ make a record database by reading from an image list') args = parser.parse_args() return args def audio_encode(args, i, item, q_out): pass def read_worker(args, q_in, q_out):

64

53

11

52

fanlu/deepspeech.mxnet

create_rec.py

Python

read_worker

28

34

28

c9671a7c54bfb059e53e80da31c5e84de7426797

bigcode/the-stack

train

487e79f453be5f1e9f203e4e

train

function

def parse_args(): parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter, description='Create an image list or \ make a record database by reading from an image list') args = parser.parse_args() return args

def parse_args():

parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter, description='Create an image list or \ make a record database by reading from an image list') args = parser.parse_args() return args

from __future__ import print_function import mxnet as mx import glob import argparse import os import time try: import multiprocessing except ImportError: multiprocessing = None def parse_args():

45

64

54

4

40

fanlu/deepspeech.mxnet

create_rec.py

Python

parse_args

15

21

15

7b92b38180dc491723af95e8fedc89622f1e7660

bigcode/the-stack

train

3cb093e3e23a5f7d7023cc59

train

function

def audio_encode(args, i, item, q_out): pass

def audio_encode(args, i, item, q_out):

pass

_args(): parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter, description='Create an image list or \ make a record database by reading from an image list') args = parser.parse_args() return args def audio_encode(args, i, item, q_out):

64

15

12

51

fanlu/deepspeech.mxnet

create_rec.py

Python

audio_encode

24

25

24

7d82d693614ac8780a18775a5e8d0b7a3fc9e52a

bigcode/the-stack

train

6fd5f8e136bd805781f268b4

train

function

def write_worker(q_out, fname, working_dir): pre_time = time.time() count = 0 fname = os.path.basename(fname) fname_rec = os.path.splitext(fname)[0] + '.rec' fname_idx = os.path.splitext(fname)[0] + '.idx' record = mx.recordio.MXIndexedRecordIO(os.path.join(working_dir, fname_idx), ...

def write_worker(q_out, fname, working_dir):

pre_time = time.time() count = 0 fname = os.path.basename(fname) fname_rec = os.path.splitext(fname)[0] + '.rec' fname_idx = os.path.splitext(fname)[0] + '.idx' record = mx.recordio.MXIndexedRecordIO(os.path.join(working_dir, fname_idx), os.path.join(wo...

, q_out): pass def read_worker(args, q_in, q_out): while True: deq = q_in.get() if deq is None: break i, item = deq audio_encode(args, i, item, q_out) def write_worker(q_out, fname, working_dir):

71

237

11

60

fanlu/deepspeech.mxnet

create_rec.py

Python

write_worker

37

64

37

f0eda52d02652279854ddc554751b928c05504ab

bigcode/the-stack

train

e9cce16556552854c0edcf89

train

class

class LLVM(GCC): DEFINES = ['__GNUC__', '__GNUG__'] NAMES = ('LLVM', 'GCC') def __init__(self, gcc, gxx, extra_args={}): GCC.__init__(self, gcc, gxx, extra_args)

class LLVM(GCC):

DEFINES = ['__GNUC__', '__GNUG__'] NAMES = ('LLVM', 'GCC') def __init__(self, gcc, gxx, extra_args={}): GCC.__init__(self, gcc, gxx, extra_args)

v.append_unique('CFLAGS', ['-fvisibility=hidden']) v.append_unique('CXXFLAGS', ['-fvisibility=hidden']) v.CFLAGS_exportall = ['-fvisibility=default'] v.CXXFLAGS_exportall = ['-fvisibility=default'] class LLVM(GCC):

64

61

5

59

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

LLVM

57

62

57

0a39d0bf215ebe7d8499911f935cc7875e594b4f

bigcode/the-stack

train

5ad3613540d74e6717676b94

train

function

def detect_gcc_version(conf, bindir, version, target, seen): gcc_compilers = [] v = version.split('.') versions = [ '.'.join(v), ''.join(v), '.'.join(v[0:2]), ''.join(v[0:2]), v[0], '-' + '.'.join(v), '-' + ''.join(v), '-' + '.'.join(v[0:2]), ...

def detect_gcc_version(conf, bindir, version, target, seen):

gcc_compilers = [] v = version.split('.') versions = [ '.'.join(v), ''.join(v), '.'.join(v[0:2]), ''.join(v[0:2]), v[0], '-' + '.'.join(v), '-' + ''.join(v), '-' + '.'.join(v[0:2]), '-' + ''.join(v[0:2]), '-' + v[0], '',...

): if platform.NAME != 'windows': v.append_unique('CFLAGS', ['-fvisibility=hidden']) v.append_unique('CXXFLAGS', ['-fvisibility=hidden']) v.CFLAGS_exportall = ['-fvisibility=default'] v.CXXFLAGS_exportall = ['-fvisibility=default'] class LLV...

146

489

16

130

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

detect_gcc_version

65

127

65

17e29ead983bb6f7d7e1e09ff8b92523e7739a49

bigcode/the-stack

train

102191ff3d52517557a293d2

train

function

def detect_gcc(conf): environ = getattr(conf, 'environ', os.environ) bindirs = environ['PATH'].split(os.pathsep) + conf.env.EXTRA_PATH paths = [os.path.normpath(os.path.join(path, '..', 'lib')) for path in bindirs] paths = set([path for path in paths if os.path.isdir(path)]) for bindir in bindirs: ...

def detect_gcc(conf):

environ = getattr(conf, 'environ', os.environ) bindirs = environ['PATH'].split(os.pathsep) + conf.env.EXTRA_PATH paths = [os.path.normpath(os.path.join(path, '..', 'lib')) for path in bindirs] paths = set([path for path in paths if os.path.isdir(path)]) for bindir in bindirs: try: ...

bsd': try: c = GCC('/usr/bin/gcc', '/usr/bin/g++') except BaseException: pass else: if c.is_valid(conf): try: seen[c.name()].add_sibling(c) except KeyError: seen[c.name()] = c ...

153

511

6

147

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

detect_gcc

219

259

219

91ab3a9de5eaced424e528c8d8b5c6f1e1da514c

bigcode/the-stack

train

3cda5181c504ffb2ed843c8a

train

function

@Configure.conf def gcc_modifier_platform(conf): pass

@Configure.conf def gcc_modifier_platform(conf):

pass

from waflib import Utils, Logs, Configure, Options from waflib.Tools import c_config, gcc, gxx import os import sys @Configure.conf def check_gcc_o_space(self, mode='c'): pass @Configure.conf def gcc_modifier_platform(conf):

60

64

13

10

49

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

gcc_modifier_platform

12

14

12

13

fe37be76956c790b13198d7d797a8f6b40bfba85

bigcode/the-stack

train

8c9ba281ab3560865b4bc881

train

function

def detect_multilib_compilers(conf, gcc_compilers, seen): multilib_compilers = [] for c in gcc_compilers: for multilib_compiler in c.get_multilib_compilers(): if not multilib_compiler.is_valid(conf): continue try: seen[multilib_compiler.name()].add...

def detect_multilib_compilers(conf, gcc_compilers, seen):

multilib_compilers = [] for c in gcc_compilers: for multilib_compiler in c.get_multilib_compilers(): if not multilib_compiler.is_valid(conf): continue try: seen[multilib_compiler.name()].add_sibling(multilib_compiler) except KeyError: ...

if os.path.isdir(os.path.join(path, version, 'gcc')): for target in os.listdir(os.path.join(path, version, 'gcc')): bindir = os.path.normpath(os.path.join(path, '..', '..', 'bin')) gcc_compilers += detect_gcc_version(conf, bindir, version, target, seen) return gcc_compil...

90

302

14

75

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

detect_multilib_compilers

161

192

161

404a8d2da3650351a9d08f499df8be76de077353

bigcode/the-stack

train

e9b06581c06b5c3ac5712eca

train

function

def detect_gcc_from_path(conf, path, seen): gcc_compilers = [] for subdir, relative in [ ('', '../..'), ('lib/gcc', '../../../..'), ('lib64/gcc', '../../../..'), ('gcc', '../../..'), ('llvm', '../../..') ]: libdir = os.path.join(path, subdir) if not os.path.isdir(libdir): ...

def detect_gcc_from_path(conf, path, seen):

gcc_compilers = [] for subdir, relative in [ ('', '../..'), ('lib/gcc', '../../../..'), ('lib64/gcc', '../../../..'), ('gcc', '../../..'), ('llvm', '../../..') ]: libdir = os.path.join(path, subdir) if not os.path.isdir(libdir): continue for target in os.l...

c = find_target_gcc(target, GCC) if c: gcc_compilers.append(c) result, out, err = c.run_c(['-fplugin=dragonegg', '-E', '-'], '') if result == 0: c = find_target_gcc('llvm', LLVM) if c: gcc_compilers.append(c) return gcc_compilers def detect_g...

96

321

12

83

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

detect_gcc_from_path

130

158

130

5621e8e5a68c6045151000226d9f95d7fae8abe5

bigcode/the-stack

train

b702cc90d153d60be1758ce1

train

function

@Configure.conf def gxx_modifier_platform(conf): pass

@Configure.conf def gxx_modifier_platform(conf):

pass

Options from waflib.Tools import c_config, gcc, gxx import os import sys @Configure.conf def check_gcc_o_space(self, mode='c'): pass @Configure.conf def gcc_modifier_platform(conf): pass @Configure.conf def gxx_modifier_platform(conf):

64

14

11

52

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

gxx_modifier_platform

17

19

17

18

3131acf9fc24b75f8b8b0f9cd2238f893efa31ac

bigcode/the-stack

train

26aea0a788693410b1eead30

train

function

def configure(conf): conf.start_msg('Looking for gcc compilers') detect_gcc(conf) conf.end_msg('done')

def configure(conf):

conf.start_msg('Looking for gcc compilers') detect_gcc(conf) conf.end_msg('done')

_compilers += detect_gcc_from_path( conf, os.path.join(gcc_lib_path, version, 'gcc'), seen ) except OSError: pass detect_multilib_compilers(conf, gcc_compilers, seen) get_native_gcc(conf, seen) def configure(conf):

64

28

4

60

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

configure

262

265

262

fe228053161368cac75a0a8b7d7699fa3ea9a840

bigcode/the-stack

train

5b7107a488010525666d6096

train

function

@Configure.conf def check_gcc_o_space(self, mode='c'): pass

@Configure.conf def check_gcc_o_space(self, mode='c'):

pass

from waflib import Utils, Logs, Configure, Options from waflib.Tools import c_config, gcc, gxx import os import sys @Configure.conf def check_gcc_o_space(self, mode='c'):

47

64

19

16

30

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

check_gcc_o_space

7

9

7

8

69d6a3a76afe47bdd71e5e5d50147d175937d460

bigcode/the-stack

train

07a8a0d22b5c0ed9ef3a2f5e

train

function

def get_native_gcc(conf, seen): import platform if platform.uname()[0].lower() == 'freebsd': try: c = GCC('/usr/bin/gcc', '/usr/bin/g++') except BaseException: pass else: if c.is_valid(conf): try: seen[c.name()].add_...

def get_native_gcc(conf, seen):

import platform if platform.uname()[0].lower() == 'freebsd': try: c = GCC('/usr/bin/gcc', '/usr/bin/g++') except BaseException: pass else: if c.is_valid(conf): try: seen[c.name()].add_sibling(c) excep...

: pass else: try: seen[compiler.name()].add_sibling(compiler) except KeyError: seen[compiler.name()] = compiler multilib_compilers.append(compil...

64

173

9

54

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

get_native_gcc

195

216

195

d9e7ca4f584c74e6247f4fce78b0ea0c02c8b69f

bigcode/the-stack

train

de0663773b823183abb8bc08

train

class

class GCC(Configure.ConfigurationContext.GnuCompiler): DEFINES = ['__GNUC__', '__GNUG__'] NAMES = ('GCC', ) TOOLS = 'gcc gxx' def __init__(self, gcc, gxx, extra_args={}, extra_env={}): Configure.ConfigurationContext.GnuCompiler.__init__(self, gcc, gxx, extra_args, extra_env) def set_optimi...

class GCC(Configure.ConfigurationContext.GnuCompiler):

DEFINES = ['__GNUC__', '__GNUG__'] NAMES = ('GCC', ) TOOLS = 'gcc gxx' def __init__(self, gcc, gxx, extra_args={}, extra_env={}): Configure.ConfigurationContext.GnuCompiler.__init__(self, gcc, gxx, extra_args, extra_env) def set_optimisation_options(self, conf): Configure.Configura...

from waflib import Utils, Logs, Configure, Options from waflib.Tools import c_config, gcc, gxx import os import sys @Configure.conf def check_gcc_o_space(self, mode='c'): pass @Configure.conf def gcc_modifier_platform(conf): pass @Configure.conf def gxx_modifier_platform(conf): pass class GCC(Configur...

87

102

340

10

76

bugengine/BugEngine

mak/build_framework/configure/compiler/gcc.py

Python

GCC

22

54

22

1c46ae3b897470c9d302221934c61b3f2e906ffa

bigcode/the-stack

train

8176caa32678d42511d6bbd9

train

class

class ExtOperationError(PosixOperationError): pass

class ExtOperationError(PosixOperationError):

pass

interface. For now, this just offers the posix operations, nothing more. @author: Stijn De Weirdt (Ghent University) @author: Andy Georges (Ghent University) """ from vsc.filesystem.posix import PosixOperations, PosixOperationError class ExtOperationError(PosixOperationError):

64

12

9

54

hpcugent/vsc-filesystems

lib/vsc/filesystem/ext.py

Python

ExtOperationError

27

28

27

ab8c39c24e369da25f86acea4b0addba53ad78ef

bigcode/the-stack

train

16c387df9b74b2789c57dbfd

train

class

class ExtOperations(PosixOperations): def __init__(self): super(ExtOperations, self).__init__() self.supportedfilesystems = ['ext2', 'ext3', 'ext4']

class ExtOperations(PosixOperations):

def __init__(self): super(ExtOperations, self).__init__() self.supportedfilesystems = ['ext2', 'ext3', 'ext4']

ix operations, nothing more. @author: Stijn De Weirdt (Ghent University) @author: Andy Georges (Ghent University) """ from vsc.filesystem.posix import PosixOperations, PosixOperationError class ExtOperationError(PosixOperationError): pass class ExtOperations(PosixOperations):

64

43

7

56

hpcugent/vsc-filesystems

lib/vsc/filesystem/ext.py

Python

ExtOperations

31

35

31

32

7014654615bc46c893896295423a3dacfa119be9

bigcode/the-stack

train

3e5f4ed991f5d5dca8b81c1a

train

function

def server_run(args): server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) server_socket.bind((args.host, args.port)) server_socket.listen() print('Kernel tuning daemon ready') while True: print('Wait fo...

def server_run(args):

server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) server_socket.bind((args.host, args.port)) server_socket.listen() print('Kernel tuning daemon ready') while True: print('Wait for request...') ...

#!/usr/bin/env python3 import argparse import struct import socket import pickle import time from utils import KernelTask, KernelDB, recvall def server_run(args):

39

64

190

5

33

SKKU-ESLAB/ANT-Model-DB

kernel-db/kernel_tuner.py

Python

server_run

10

36

10

84b1e9370db979d4afc7c1fe7666910f69afabff

bigcode/the-stack

train

06d918720a8e5c8a753d04b8

train

function

def auto_tune(args): kernel_db = KernelDB() while True: new_model_list = kernel_db.find_new_model() kernel_db.tune_model(new_model_list) # Sleep print("Sleep...") time.sleep(5)

def auto_tune(args):

kernel_db = KernelDB() while True: new_model_list = kernel_db.find_new_model() kernel_db.tune_model(new_model_list) # Sleep print("Sleep...") time.sleep(5)

_socket.sendall('Task received successfully'.encode()) client_socket.close() # Tuning start data = pickle.loads(data) kernel_task = KernelTask(data['task'], data['target'], data['device_key']) kernel_task.tune() server_socket.close() def auto_tune(args):

64

53

6

58

SKKU-ESLAB/ANT-Model-DB

kernel-db/kernel_tuner.py

Python

auto_tune

38

47

38

1ab56840e65f535cf588edec56ca5ff6829ac35a

bigcode/the-stack

train

4f57c9852895232040ff9018

train

function

def main(args): #server_run(args) auto_tune(args)

def main(args): #server_run(args)

auto_tune(args)

def auto_tune(args): kernel_db = KernelDB() while True: new_model_list = kernel_db.find_new_model() kernel_db.tune_model(new_model_list) # Sleep print("Sleep...") time.sleep(5) def main(args): #server_run(args)

63

64

16

10

53

SKKU-ESLAB/ANT-Model-DB

kernel-db/kernel_tuner.py

Python

main

50

52

50

51

b01bebaef27a7745960429c1830c7d75c9833415

bigcode/the-stack

train

b0ce3d161a5390db54cae97d

train

class

class SparkThriftServer(Script): def install(self, env): import params env.set_params(params) self.install_packages(env) def configure(self, env, upgrade_type=None, config_dir=None): import params env.set_params(params) setup_spark(env, 'server', upgrade_type = upgrade_type, action = 'con...

class SparkThriftServer(Script):

def install(self, env): import params env.set_params(params) self.install_packages(env) def configure(self, env, upgrade_type=None, config_dir=None): import params env.set_params(params) setup_spark(env, 'server', upgrade_type = upgrade_type, action = 'config') def start(self, env, upgr...

resource_management.libraries.script.script import Script from resource_management.libraries.functions import conf_select, stack_select from resource_management.libraries.functions.stack_features import check_stack_feature from resource_management.libraries.functions.constants import StackFeature from resource_managem...

99

333

8

90

dawnwish/ambari

ambari-server/src/main/resources/common-services/SPARK/2.2.0/scripts/spark_thrift_server.py

Python

SparkThriftServer

35

86

35

36

9aece413a7e68dcf95115c0eb9c7504702ee3885

bigcode/the-stack

train

6edc653a1734ab456950c900

train

function

def _load_mne_locs(fname=None): """Load MNE locs structure from file (if exists) or recreate it.""" if (not fname): # find input file resource_dir = op.join(op.dirname(op.abspath(__file__)), 'resources') fname = op.join(resource_dir, 'Artemis123_mneLoc.csv') if not op.exists(fname):...

def _load_mne_locs(fname=None):

"""Load MNE locs structure from file (if exists) or recreate it.""" if (not fname): # find input file resource_dir = op.join(op.dirname(op.abspath(__file__)), 'resources') fname = op.join(resource_dir, 'Artemis123_mneLoc.csv') if not op.exists(fname): raise IOError('MNE locs...

import numpy as np import os.path as op from .._digitization import _artemis123_read_pos from ...utils import logger from ...transforms import rotation3d_align_z_axis def _load_mne_locs(fname=None):

52

64

171

10

41

rylaw/mne-python

mne/io/artemis123/utils.py

Python

_load_mne_locs

8

25

8

c9525b03e4722418370a787824277dea0b904f68

bigcode/the-stack

train

5eb5acaa7fe05978aa40892a

train

function

def _load_tristan_coil_locs(coil_loc_path): """Load the Coil locations from Tristan CAD drawings.""" channel_info = dict() with open(coil_loc_path, 'r') as fid: # skip 2 Header lines fid.readline() fid.readline() for line in fid: line = line.strip() va...

def _load_tristan_coil_locs(coil_loc_path):

"""Load the Coil locations from Tristan CAD drawings.""" channel_info = dict() with open(coil_loc_path, 'r') as fid: # skip 2 Header lines fid.readline() fid.readline() for line in fid: line = line.strip() vals = line.split(',') channel_inf...

with open(output_fname, 'w') as fid: for n in sorted(locs.keys()): fid.write('%s,' % n) fid.write(','.join(locs[n].astype(str))) fid.write('\n') def _load_tristan_coil_locs(coil_loc_path):

64

203

14

50

rylaw/mne-python

mne/io/artemis123/utils.py

Python

_load_tristan_coil_locs

46

65

46

40b815610867123ec4af996139e2e87d38350ab5

bigcode/the-stack

train

33c2e7cdd61c2db499522241

train

function

def _read_pos(fname): """Read the .pos file and return positions as dig points.""" nas, lpa, rpa, hpi, extra = None, None, None, None, None with open(fname, 'r') as fid: for line in fid: line = line.strip() if len(line) > 0: parts = line.split() ...

def _read_pos(fname):

"""Read the .pos file and return positions as dig points.""" nas, lpa, rpa, hpi, extra = None, None, None, None, None with open(fname, 'r') as fid: for line in fid: line = line.strip() if len(line) > 0: parts = line.split() # The lines can have...

il_loc['outer_coil']) == 0): return loc # channel location is inner coil location converted to meters From inches loc[0:3] = coil_loc['inner_coil'] / 39.370078 # figure out rotation z_axis = coil_loc['outer_coil'] - coil_loc['inner_coil'] R = rotation3d_align_z_axis(z_axis) loc[3:13] =...

112

374

6

105

rylaw/mne-python

mne/io/artemis123/utils.py

Python

_read_pos

88

119

88

3853e0a6f172e8351dd6c4e6a66287c7a94b4459

bigcode/the-stack

train

d70f2634b0808cd980ee0227

train

function

def _generate_mne_locs_file(output_fname): """Generate mne coil locs and save to supplied file.""" logger.info('Converting Tristan coil file to mne loc file...') resource_dir = op.join(op.dirname(op.abspath(__file__)), 'resources') chan_fname = op.join(resource_dir, 'Artemis123_ChannelMap.csv') chan...

def _generate_mne_locs_file(output_fname):

"""Generate mne coil locs and save to supplied file.""" logger.info('Converting Tristan coil file to mne loc file...') resource_dir = op.join(op.dirname(op.abspath(__file__)), 'resources') chan_fname = op.join(resource_dir, 'Artemis123_ChannelMap.csv') chans = _load_tristan_coil_locs(chan_fname) ...

= dict() with open(fname, 'r') as fid: for line in fid: vals = line.strip().split(',') locs[vals[0]] = np.array(vals[1::], np.float64) return locs def _generate_mne_locs_file(output_fname):

64

181

11

52

rylaw/mne-python

mne/io/artemis123/utils.py

Python

_generate_mne_locs_file

28

43

28

5a6c1dc30b78c530d2d382227a80f53feacc0e19

bigcode/the-stack

train

adfa78840d09f2339a8be246

train

function

def _compute_mne_loc(coil_loc): """Convert a set of coils to an mne Struct. Note input coil locations are in inches. """ loc = np.zeros((12)) if (np.linalg.norm(coil_loc['inner_coil']) == 0) and \ (np.linalg.norm(coil_loc['outer_coil']) == 0): return loc # channel location is in...

def _compute_mne_loc(coil_loc):

"""Convert a set of coils to an mne Struct. Note input coil locations are in inches. """ loc = np.zeros((12)) if (np.linalg.norm(coil_loc['inner_coil']) == 0) and \ (np.linalg.norm(coil_loc['outer_coil']) == 0): return loc # channel location is inner coil location converted to m...

.float64) else: # nothing supplied channel_info[vals[0]]['inner_coil'] = np.zeros(3) channel_info[vals[0]]['outer_coil'] = np.zeros(3) return channel_info def _compute_mne_loc(coil_loc):

64

174

10

53

rylaw/mne-python

mne/io/artemis123/utils.py

Python

_compute_mne_loc

68

85

68

bbf488ac86c7ec90732a0858cafc483e7ac61dde

bigcode/the-stack

train

b52483699aca19d71e93c649

train

function

def fix_return(ret): ret = replace_all(ret) tuple_contents = reTuple.match(ret) if tuple_contents: ret = f"{tuple_contents.group(1)}" else: ret = f"{ret}" return ret

def fix_return(ret):

ret = replace_all(ret) tuple_contents = reTuple.match(ret) if tuple_contents: ret = f"{tuple_contents.group(1)}" else: ret = f"{ret}" return ret

(p_name): p_type = m.group(1) p_name = m.group(2) ret += f"{p_name}: {p_type}, " ret = ret[:-2] return ret[:-2] reTuple = re.compile(r"tuple<(.*?)>") def fix_return(ret):

63

64

52

5

59

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

fix_return

130

137

130

e9be1dd1a46f2328f91496ec601d574d989e8793

bigcode/the-stack

train

809810ec956346e4aa4394c0

train

function

def print_func(name, params, ret, typed_params): ret = fix_return(ret) fun = f"{typed_params}\n---@return {ret}\nfunction {name}({params}) end".strip() print(fun)

def print_func(name, params, ret, typed_params):

ret = fix_return(ret) fun = f"{typed_params}\n---@return {ret}\nfunction {name}({params}) end".strip() print(fun)

def fix_return(ret): ret = replace_all(ret) tuple_contents = reTuple.match(ret) if tuple_contents: ret = f"{tuple_contents.group(1)}" else: ret = f"{ret}" return ret def print_func(name, params, ret, typed_params):

64

49

12

51

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

print_func

140

143

140

7593bf0fcd854c6949278162ccf1300bca28fe05

bigcode/the-stack

train

a3080b44d6bebd68201745f5

train

function

def print_comment(lf): if lf["comment"]: for com in lf["comment"]: print(f"---{com}")

def print_comment(lf):

if lf["comment"]: for com in lf["comment"]: print(f"---{com}")

= f"{ret}" return ret def print_func(name, params, ret, typed_params): ret = fix_return(ret) fun = f"{typed_params}\n---@return {ret}\nfunction {name}({params}) end".strip() print(fun) def print_comment(lf):

64

28

6

58

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

print_comment

146

149

146

9611483764468c916d10967e0e65001bd01eb941

bigcode/the-stack

train

66c3d5999959017e5c584a6a

train

function

def cpp_params_to_emmy_lua(params_text): return_typed = "" return_normal = "" params_iterator = reGetParam.finditer(params_text) for param_match in params_iterator: p_type = replace_all(param_match.group(1)) p_name = reRemoveDefault.sub("", param_match.group(2)) if p_type == "var...

def cpp_params_to_emmy_lua(params_text):

return_typed = "" return_normal = "" params_iterator = reGetParam.finditer(params_text) for param_match in params_iterator: p_type = replace_all(param_match.group(1)) p_name = reRemoveDefault.sub("", param_match.group(2)) if p_type == "variadic_args": return_typed += ...

.run_parse() reGetParam = re.compile(r"(?!const)(\b[^ ]+) *([^,]+),?") reRemoveDefault = re.compile(r" = .*") reHandleConst = re.compile(r"const (\w+) (\w+)") def cpp_params_to_emmy_lua(params_text):

63

64

182

11

52

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

cpp_params_to_emmy_lua

91

109

91

bdb94b2ae1e751ee13e3ec6e2053e3acd52ce8d7

bigcode/the-stack

train

d3b7a4bb961b85d7aab1160c

train

function

def print_af(lf, af): if lf["comment"] and lf["comment"][0] == "NoDoc": return ret = replace_all(af["return"]) or "nil" name = lf["name"] typed_params, params = cpp_params_to_emmy_lua(af["param"]) typed_params.strip() typed_params = replace_all(typed_params) print_comment(lf if lf["c...

def print_af(lf, af):

if lf["comment"] and lf["comment"][0] == "NoDoc": return ret = replace_all(af["return"]) or "nil" name = lf["name"] typed_params, params = cpp_params_to_emmy_lua(af["param"]) typed_params.strip() typed_params = replace_all(typed_params) print_comment(lf if lf["comment"] else af) ...

f"{typed_params}\n---@return {ret}\nfunction {name}({params}) end".strip() print(fun) def print_comment(lf): if lf["comment"]: for com in lf["comment"]: print(f"---{com}") def print_af(lf, af):

63

64

108

8

55

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

print_af

152

161

152

419992943b21923449be18535b4b19dabcf3ae58

bigcode/the-stack

train

6f88897af74f96e4967305e8

train

function

def cpp_params_to_emmy_lua_fun(params_text): ret = "" params_iterator = reGetParam.finditer(params_text) for param_match in params_iterator: p_type = param_match.group(1) p_name = param_match.group(2) p_name = reRemoveDefault.sub("", p_name) if m := reHandleConst.match(p_name...

def cpp_params_to_emmy_lua_fun(params_text):

ret = "" params_iterator = reGetParam.finditer(params_text) for param_match in params_iterator: p_type = param_match.group(1) p_name = param_match.group(2) p_name = reRemoveDefault.sub("", p_name) if m := reHandleConst.match(p_name): p_type = m.group(1) ...

) return_typed += f"\n---@param {p_name} {p_type}" return_normal += p_name return_normal += ", " return_normal = return_normal[0:-2] return return_typed, return_normal def cpp_params_to_emmy_lua_fun(params_text):

64

123

12

51

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

cpp_params_to_emmy_lua_fun

112

124

112

856efc14ba7194d9cca89bb5240616197f7f4e4b

bigcode/the-stack

train

197d1a5ab93c7539a4dd67a7

train

function

def replace_all(text): text = reFloat.sub("number", text) text = reInt.sub("integer", text) text = reBool.sub("boolean", text) text = reOptional.sub(r"\1?", text) text = reMap.sub("table<", text) if "Array<" in text: newText = text dimension = 1 while True: m ...

def replace_all(text):

text = reFloat.sub("number", text) text = reInt.sub("integer", text) text = reBool.sub("boolean", text) text = reOptional.sub(r"\1?", text) text = reMap.sub("table<", text) if "Array<" in text: newText = text dimension = 1 while True: m = reArr.search(newText)...

Optional = re.compile(r"optional<(.+?)>") reBool = re.compile(r"bool\b") reMap = re.compile(r"\bmap<") reArr = re.compile(r"(\bArray<(?:(\w+<.+>)|(\w+(?:<.+>)?))(?:, )?.*>)") def replace_all(text):

74

248

5

69

spelunky-fyi/rust-injector

docs/generate_emmylua.py

Python

replace_all

49

79

49

1acfa4d17bbe2fcdc1123f7b4b196c82e064b676

bigcode/the-stack

train

65a85c8f4a602e0ec910793e

train

function

def _check_selection(selection): """Handle default and validation of selection""" available = ["counts", "exposure", "background"] if selection is None: selection = available if not isinstance(selection, list): raise TypeError("Selection must be a list of str") for name in selecti...

def _check_selection(selection):

"""Handle default and validation of selection""" available = ["counts", "exposure", "background"] if selection is None: selection = available if not isinstance(selection, list): raise TypeError("Selection must be a list of str") for name in selection: if name not in availa...

if self.fov_mask is not None: background.data[..., self.fov_mask] = 0 # TODO: decide what background modeling options to support # Extra things like FOV norm scale or ring would go here. self.maps["background"] = background def _check_selection(selection):

64

92

6

57

watsonjj/gammapy

gammapy/cube/make.py

Python

_check_selection

250

264

250

fc6241b459bc1678848cf29eb203a7d549f793af

bigcode/the-stack

train

a8f220df523e6823c49b5a8e

train

class

class MapMakerObs: """Make maps for a single IACT observation. Parameters ---------- observation : `~gammapy.data.DataStoreObservation` Observation geom : `~gammapy.maps.WcsGeom` Reference image geometry geom_true : `~gammapy.maps.WcsGeom` Reference image geometry in tru...

class MapMakerObs:

"""Make maps for a single IACT observation. Parameters ---------- observation : `~gammapy.data.DataStoreObservation` Observation geom : `~gammapy.maps.WcsGeom` Reference image geometry geom_true : `~gammapy.maps.WcsGeom` Reference image geometry in true energy, used for ...

"""Create images by summing over the energy axis. Exposure is weighted with an assumed spectrum, resulting in a weighted mean exposure image. Parameters ---------- spectrum : `~gammapy.spectrum.models.SpectralModel` Spectral model to compute the weights. ...

186

621

5

180

watsonjj/gammapy

gammapy/cube/make.py

Python

MapMakerObs

162

247

162

278e0d510c8ef24b3c5859490cb33218f7e2ed3c

bigcode/the-stack

train

a38c17513819b6871c0e517e

train

class

class MapMaker: """Make maps from IACT observations. Parameters ---------- geom : `~gammapy.maps.WcsGeom` Reference image geometry in reco energy offset_max : `~astropy.coordinates.Angle` Maximum offset angle geom_true : `~gammapy.maps.WcsGeom` Reference image geometry i...

class MapMaker:

"""Make maps from IACT observations. Parameters ---------- geom : `~gammapy.maps.WcsGeom` Reference image geometry in reco energy offset_max : `~astropy.coordinates.Angle` Maximum offset angle geom_true : `~gammapy.maps.WcsGeom` Reference image geometry in true energy, u...

# Licensed under a 3-clause BSD style license - see LICENSE.rst import logging from astropy.nddata.utils import NoOverlapError from astropy.coordinates import Angle from ..maps import Map, WcsGeom from .counts import fill_map_counts from .exposure import make_map_exposure_true_energy, _map_spectrum_weight from .backgro...

109

256

1,136

4

105

watsonjj/gammapy

gammapy/cube/make.py

Python

MapMaker

15

159

15

d16554805d79ebafde43f612528a919885a4243e

bigcode/the-stack

train

07db87969e2eb1e8cd3d96f3

train

class

class MyPresenterClass(BaseCase): def test_presenter(self): self.create_presentation(theme="serif") self.add_slide( '<h1>Welcome</h1><br />\n' '<h3>Press the <b>Right Arrow</b></h3>') self.add_slide( '<h3>SeleniumBase Presenter</h3><br />\n' '...

class MyPresenterClass(BaseCase):

def test_presenter(self): self.create_presentation(theme="serif") self.add_slide( '<h1>Welcome</h1><br />\n' '<h3>Press the <b>Right Arrow</b></h3>') self.add_slide( '<h3>SeleniumBase Presenter</h3><br />\n' '<img width="240" src="https://selen...

from seleniumbase import BaseCase class MyPresenterClass(BaseCase):

14

256

1,615

7

6

johnhiggs/SeleniumBase

examples/presenter/my_presentation.py

Python

MyPresenterClass

4

114

4

5

9094ecfadbc74828dd2744caff979f4f9dfbad94

bigcode/the-stack

train

3d9fd4281310f45b711b0625

train

function

def whitestripe(img, contrast, mask=None, width=0.05, width_l=None, width_u=None): """ find the "(normal appearing) white (matter) stripe" of the input MR image and return the indices Args: img (nibabel.nifti1.Nifti1Image): target MR image contrast (str): contrast of img (e.g., T1) ...

def whitestripe(img, contrast, mask=None, width=0.05, width_l=None, width_u=None):

""" find the "(normal appearing) white (matter) stripe" of the input MR image and return the indices Args: img (nibabel.nifti1.Nifti1Image): target MR image contrast (str): contrast of img (e.g., T1) mask (nibabel.nifti1.Nifti1Image): brainmask for img (None is default, for skul...

})'.format(img_fn, i, len(data))) img = io.open_nii(img_fn) mask = io.open_nii(mask_fn) if mask_fn is not None else None indices = whitestripe(img, contrast, mask=mask) normalized = whitestripe_norm(img, indices) if write_to_disk: logger.info('Saving normalized image:...

150

503

25

124

sarthakpati/intensity-normalization

intensity_normalization/normalize/whitestripe.py

Python

whitestripe

97

138

97

1caa3539669329e58106bb8d158a339306696584

bigcode/the-stack

train

b917f53b5d5cdfaf97b5ff9e

train

function

def whitestripe_norm(img, indices): """ use the whitestripe indices to standardize the data (i.e., subtract the mean of the values in the indices and divide by the std of those values) Args: img (nibabel.nifti1.Nifti1Image): target MR image indices (np.ndarray): whitestripe indices (see...

def whitestripe_norm(img, indices):

""" use the whitestripe indices to standardize the data (i.e., subtract the mean of the values in the indices and divide by the std of those values) Args: img (nibabel.nifti1.Nifti1Image): target MR image indices (np.ndarray): whitestripe indices (see whitestripe func) Returns: ...

) * 100)) ws_ind = np.logical_and(masked > ws[0], masked < ws[1]) if len(ws_ind) == 0: raise NormalizationError('WhiteStripe failed to find any valid indices!') return ws_ind def whitestripe_norm(img, indices):

64

185

9

54

sarthakpati/intensity-normalization

intensity_normalization/normalize/whitestripe.py

Python

whitestripe_norm

141

158

141

51edd814482a62f9c5ada94d535acd65b1ff8d1d

bigcode/the-stack

train

8ec78beab22e1c93f77cf767

train

function

def ws_normalize(img_dir, contrast, mask_dir=None, output_dir=None, write_to_disk=True): """ Use WhiteStripe normalization method ([1]) to normalize the intensities of a set of MR images by normalizing an area around the white matter peak of the histogram Args: img_dir (str): directory containi...

def ws_normalize(img_dir, contrast, mask_dir=None, output_dir=None, write_to_disk=True):

""" Use WhiteStripe normalization method ([1]) to normalize the intensities of a set of MR images by normalizing an area around the white matter peak of the histogram Args: img_dir (str): directory containing MR images to be normalized contrast (str): contrast of MR images to be normali...

: [1] R. T. Shinohara, E. M. Sweeney, J. Goldsmith, N. Shiee, F. J. Mateen, P. A. Calabresi, S. Jarso, D. L. Pham, D. S. Reich, and C. M. Crainiceanu, “Statistical normalization techniques for magnetic resonance imaging,” NeuroImage Clin., vol. 6, pp. 9–19, 2014. Author: Jacob Reinh...

205

686

22

183

sarthakpati/intensity-normalization

intensity_normalization/normalize/whitestripe.py

Python

ws_normalize

33

94

33

3e28a48400584e1f97e142a5359f3358dc1d4d62

bigcode/the-stack

train

7255f3bf8404ea00e1003113

train

function

def read_atoms(filename='CONTCAR', return_velocities=False, species_list=None, species_from_potcar=False): """ Routine to read structural static from a POSCAR type file Args: filename (str): Input filename return_velocities (bool): True if the predictor corrector velocities are read (only f...

def read_atoms(filename='CONTCAR', return_velocities=False, species_list=None, species_from_potcar=False):

""" Routine to read structural static from a POSCAR type file Args: filename (str): Input filename return_velocities (bool): True if the predictor corrector velocities are read (only from MD output) species_list (list/numpy.ndarray): A list of the species (if not present in the POSC...

version__ = "1.0" __maintainer__ = "Sudarsan Surendralal" __email__ = "surendralal@mpie.de" __status__ = "production" __date__ = "Sep 1, 2017" def read_atoms(filename='CONTCAR', return_velocities=False, species_list=None, species_from_potcar=False):

81

270

25

56

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

read_atoms

20

44

20

37801f57a2ae09c887dcc71994650698764112b0

bigcode/the-stack

train

23774dd1b3cd3210e152eff4

train

function

def atoms_from_string(string, read_velocities=False, species_list=None): """ Routine to convert a string list read from a input/output structure file and convert into Atoms instance Args: string (list): A list of strings (lines) read from the POSCAR/CONTCAR/CHGCAR/LOCPOT file read_velocitie...

def atoms_from_string(string, read_velocities=False, species_list=None):

""" Routine to convert a string list read from a input/output structure file and convert into Atoms instance Args: string (list): A list of strings (lines) read from the POSCAR/CONTCAR/CHGCAR/LOCPOT file read_velocities (bool): True if the velocities from a CONTCAR file should be read (pred...

for species in atom_numbers.keys(): indices = structure.select_index(species) for i in indices: if cartesian: sorted_coords.append(structure.positions[i]) else: sorted_coords.append(structure.get_scaled_positions()[i]) ...

256

1,107

15

241

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

atoms_from_string

125

222

125

82435a21566d083094ac5070fcd131b561d253bd

bigcode/the-stack

train

f20e01b61f3a4528ed03c76c

train

function

def manip_contcar(filename, new_filename, add_pos): """ Manipulate a CONTCAR/POSCAR file by adding something to the positions Args: filename (str): Filename/path of the input file new_filename (str): Filename/path of the output file add_pos (list/numpy.ndarray): Array of values to ...

def manip_contcar(filename, new_filename, add_pos):

""" Manipulate a CONTCAR/POSCAR file by adding something to the positions Args: filename (str): Filename/path of the input file new_filename (str): Filename/path of the output file add_pos (list/numpy.ndarray): Array of values to be added to the positions of the input """ ...

cell=cell) else: atoms = Atoms(elements, scaled_positions=positions, cell=cell) return atoms def vasp_sorter(structure): """ Routine to sort the indices of a structure as it would be when written to a POSCAR file Args: structure (pyiron.atomistics.structure.atoms.Atoms): The stru...

170

567

12

157

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

manip_contcar

301

356

301

65e165daf6b7c5bb1e5dfc1f6050ab55689be662

bigcode/the-stack

train

4c8d500887cfdf44bf294d77

train

function

def get_species_list_from_potcar(filename="POTCAR"): """ Generates the species list from a POTCAR type file Args: filename (str): Input filename Returns: list: A list of species symbols """ trigger = "VRHFIN =" species_list = list() with open(filename) as potcar_file: ...

def get_species_list_from_potcar(filename="POTCAR"):

""" Generates the species list from a POTCAR type file Args: filename (str): Input filename Returns: list: A list of species symbols """ trigger = "VRHFIN =" species_list = list() with open(filename) as potcar_file: lines = potcar_file.readlines() for l...

list() with open(filename) as f: for line in f: line = line.strip() file_string.append(line) return atoms_from_string(file_string, read_velocities=return_velocities, species_list=species_list) def get_species_list_from_potcar(filename="POTCAR"):

64

147

14

50

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

get_species_list_from_potcar

47

68

47

7840bb7f07586740ef60cf1fedc49fedf378c174

bigcode/the-stack

train

c576b35db80b48bf6b65ed2c

train

function

def vasp_sorter(structure): """ Routine to sort the indices of a structure as it would be when written to a POSCAR file Args: structure (pyiron.atomistics.structure.atoms.Atoms): The structure whose indices need to be sorted Returns: list: A list of indices which is sorted by the corre...

def vasp_sorter(structure):

""" Routine to sort the indices of a structure as it would be when written to a POSCAR file Args: structure (pyiron.atomistics.structure.atoms.Atoms): The structure whose indices need to be sorted Returns: list: A list of indices which is sorted by the corresponding species for writing...

: elements_new.append(e) elements = elements_new if is_absolute: atoms = Atoms(elements, positions=positions, cell=cell) else: atoms = Atoms(elements, scaled_positions=positions, cell=cell) return atoms def vasp_sorter(structure):

64

131

8

55

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

vasp_sorter

281

298

281

f8eb40c72ea0b06ab564638a514a14744b8136ec

bigcode/the-stack

train

528645789ad8e94e42afa0f1

train

function

def write_poscar(structure, filename="POSCAR", write_species=True, cartesian=True): """ Writes a POSCAR type file from a structure object Args: structure (pyiron.atomistics.structure.atoms.Atoms): The structure instance to be written to the POSCAR format filename (str): Output filename ...

def write_poscar(structure, filename="POSCAR", write_species=True, cartesian=True):

""" Writes a POSCAR type file from a structure object Args: structure (pyiron.atomistics.structure.atoms.Atoms): The structure instance to be written to the POSCAR format filename (str): Output filename write_species (bool): True if the species should be written to the file ...

_list_from_potcar(filename="POTCAR"): """ Generates the species list from a POTCAR type file Args: filename (str): Input filename Returns: list: A list of species symbols """ trigger = "VRHFIN =" species_list = list() with open(filename) as potcar_file: lines =...

164

549

20

143

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

write_poscar

71

122

71

e2c7c3f57c697b2ab4205b334d9d2e23c8e37414

bigcode/the-stack

train

8f681b50b9a125129308beb2

train

function

def _dict_to_atoms(atoms_dict, species_list=None, read_from_first_line=False): """ Function to convert a generated dict into an structure object Args: atoms_dict (dict): Dictionary with the details (from string_to_atom) species_list (list/numpy.ndarray): List of species read_from_fi...

def _dict_to_atoms(atoms_dict, species_list=None, read_from_first_line=False):

""" Function to convert a generated dict into an structure object Args: atoms_dict (dict): Dictionary with the details (from string_to_atom) species_list (list/numpy.ndarray): List of species read_from_first_line (bool): True if we are to read the species information from the first ...

is_not_majority[i]: for key in np.argwhere(inverse == i).flatten(): atoms.selective_dynamics[int(key)] = val.tolist() if read_velocities: velocity_index = position_index + n_atoms + 1 for i in range(velocity_index, velocity_index + n_atoms): try: ...

177

591

19

157

SanderBorgmans/pyiron

pyiron/vasp/structure.py

Python

_dict_to_atoms

225

278

225

6142abc29578a2cba1f2caef460fad81c10598c6

bigcode/the-stack

train

ecb7f9822a9eb4a5ebd2bdc4

train

function

def generate_classification_csv(): # Generate a random binary classification problem. X, y = make_classification(n_samples=100000, n_features=100, n_informative=80, random_state=2018, n_classes=2) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=2018) X_tr...

def generate_classification_csv(): # Generate a random binary classification problem.

X, y = make_classification(n_samples=100000, n_features=100, n_informative=80, random_state=2018, n_classes=2) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=2018) X_train = pd.DataFrame(X_train) X_test = pd.DataFrame(X_test) y_train = pd.DataFrame(y_tr...

import numpy as np import pandas as pd import sklearn as sk from sklearn import datasets from sklearn.datasets import make_classification try: from sklearn.model_selection import train_test_split except ImportError: from sklearn.cross_validation import train_test_split def generate_classification_csv(): # G...

67

129

432

15

51

KaiminLai/tiny-machine-learning-system

generate_classification_dataset.py

Python

generate_classification_csv

11

42

11

12

fe6fac1e73088f6fbb3c05a7166c19d5482b45e9

bigcode/the-stack

train

fd1f5c778bdadb3db7e40379

train

function

def Factory(settings, Model): if(type(settings) != KratosMultiphysics.Parameters): raise Exception("expected input shall be a Parameters object, encapsulating a json string") return AssignVectorByDirectionToConditionProcess(Model, settings["Parameters"])

def Factory(settings, Model):

if(type(settings) != KratosMultiphysics.Parameters): raise Exception("expected input shall be a Parameters object, encapsulating a json string") return AssignVectorByDirectionToConditionProcess(Model, settings["Parameters"])

import math import KratosMultiphysics def Factory(settings, Model):

16

64

52

6

9

AndreaVoltan/MyKratos7.0

kratos/python_scripts/assign_vector_by_direction_to_condition_process.py

Python

Factory

4

7

4

04282df14e4925679f369e11e0a4122e25e44187

bigcode/the-stack

train

05ae1e4559dea957bebceec2

train

class

class AssignVectorByDirectionToConditionProcess(KratosMultiphysics.Process): def __init__(self, Model, settings ): KratosMultiphysics.Process.__init__(self) default_settings = KratosMultiphysics.Parameters(""" { "help" : "This process sets a variable a ce...

class AssignVectorByDirectionToConditionProcess(KratosMultiphysics.Process):

def __init__(self, Model, settings ): KratosMultiphysics.Process.__init__(self) default_settings = KratosMultiphysics.Parameters(""" { "help" : "This process sets a variable a certain scalar value in a given direction, for all the conditions belonging to ...

import math import KratosMultiphysics def Factory(settings, Model): if(type(settings) != KratosMultiphysics.Parameters): raise Exception("expected input shall be a Parameters object, encapsulating a json string") return AssignVectorByDirectionToConditionProcess(Model, settings["Parameters"]) ## All th...

90

256

1,494

16

74

AndreaVoltan/MyKratos7.0

kratos/python_scripts/assign_vector_by_direction_to_condition_process.py

Python

AssignVectorByDirectionToConditionProcess

10

133

10

0f1465f28c4b6b436490de53ede02fc365c9e845

bigcode/the-stack

train