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

a5bc728c92f6162d645e2338

train

class

@tvm._ffi.register_object("tir.BufferRegion") class BufferRegion(Object): """BufferRegion node. Parameters ---------- buffer : Buffer The buffer of the buffer region region : List[Range] The region array of the buffer region """ buffer: Buffer region: List[Range] ...

@tvm._ffi.register_object("tir.BufferRegion") class BufferRegion(Object):

"""BufferRegion node. Parameters ---------- buffer : Buffer The buffer of the buffer region region : List[Range] The region array of the buffer region """ buffer: Buffer region: List[Range] def __init__(self, buffer: Buffer, region: List[Range]): self.__in...

the source code. """ def __init__(self, buffer, bounds, span=None): self.__init_handle_by_constructor__(_ffi_api.Prefetch, buffer, bounds, span) # type: ignore @tvm._ffi.register_object("tir.BufferRegion") class BufferRegion(Object):

64

112

17

46

BaldLee/tvm

python/tvm/tir/stmt.py

Python

BufferRegion

493

510

493

494

22db4a4196e7cce1048cc19f85f92abc50c8cdea

bigcode/the-stack

train

e17f69e43c009183de502cb4

train

class

@tvm._ffi.register_object("tir.LetStmt") class LetStmt(Stmt): """LetStmt node. Parameters ---------- var : Var The variable in the binding. value : PrimExpr The value in to be binded. body : Stmt The body statement. span : Optional[Span] The location of th...

@tvm._ffi.register_object("tir.LetStmt") class LetStmt(Stmt):

"""LetStmt node. Parameters ---------- var : Var The variable in the binding. value : PrimExpr The value in to be binded. body : Stmt The body statement. span : Optional[Span] The location of this itervar in the source code. """ def __init__(self,...

from tvm.runtime import Object, const from . import _ffi_api from .buffer import Buffer from .expr import IterVar class Stmt(Object): """Base class of all the statements.""" @tvm._ffi.register_object("tir.LetStmt") class LetStmt(Stmt):

63

64

137

19

44

BaldLee/tvm

python/tvm/tir/stmt.py

Python

LetStmt

45

67

45

46

31a1495e4273182de5bc95b9557a18e454bf4c34

bigcode/the-stack

train

990cf2c176e46f5530bd95e6

train

class

class ForKind(IntEnum): """The kind of the for loop. note ---- ForKind can change the control flow semantics of the loop and need to be considered in all TIR passes. """ SERIAL = 0 PARALLEL = 1 VECTORIZED = 2 UNROLLED = 3 THREAD_BINDING = 4

class ForKind(IntEnum):

"""The kind of the for loop. note ---- ForKind can change the control flow semantics of the loop and need to be considered in all TIR passes. """ SERIAL = 0 PARALLEL = 1 VECTORIZED = 2 UNROLLED = 3 THREAD_BINDING = 4

of this itervar in the source code. """ def __init__(self, condition, message, body, span=None): self.__init_handle_by_constructor__( _ffi_api.AssertStmt, condition, message, body, span # type: ignore ) class ForKind(IntEnum):

64

86

6

58

BaldLee/tvm

python/tvm/tir/stmt.py

Python

ForKind

95

108

95

31c2ae802ed97d1fd6b61116dd1f53e0afb11838

bigcode/the-stack

train

5fc64ccc9ad651c517298b19

train

class

@tvm._ffi.register_object("tir.BlockRealize") class BlockRealize(Stmt): """BlockRealize node. Parameters ---------- iter_values : List[PrimExpr] The binding values of the block var. predicate : Union[PrimExpr, bool] The predicate of the block. block : Block The block t...

@tvm._ffi.register_object("tir.BlockRealize") class BlockRealize(Stmt):

"""BlockRealize node. Parameters ---------- iter_values : List[PrimExpr] The binding values of the block var. predicate : Union[PrimExpr, bool] The predicate of the block. block : Block The block to realize span : Optional[Span] The location of this block_...

, # type: ignore iter_vars, reads, writes, name_hint, body, init, alloc_buffers, match_buffers, annotations, span, ) # type: ignore @tvm._ffi.register_object("tir.BlockRealize") class BlockR...

69

230

20

48

BaldLee/tvm

python/tvm/tir/stmt.py

Python

BlockRealize

617

656

617

618

78cb63f4c21538be4662fd063d7e6b11fe30639b

bigcode/the-stack

train

b46bd5d023c0361c4e09e402

train

class

@tvm._ffi.register_object("tir.Store") class Store(Stmt): """Store node. Parameters ---------- buffer_var : Var The buffer Variable. value : PrimExpr The value we want to store. index : PrimExpr The index in the store expression. predicate : PrimExpr The s...

@tvm._ffi.register_object("tir.Store") class Store(Stmt):

"""Store node. Parameters ---------- buffer_var : Var The buffer Variable. value : PrimExpr The value we want to store. index : PrimExpr The index in the store expression. predicate : PrimExpr The store predicate. span : Optional[Span] The loc...

""" def __init__(self, condition, body, span=None): self.__init_handle_by_constructor__( _ffi_api.While, # type: ignore condition, body, span, ) @tvm._ffi.register_object("tir.Store") class Store(Stmt):

64

175

16

48

BaldLee/tvm

python/tvm/tir/stmt.py

Python

Store

192

219

192

193

e72b30ba2bf6642b8c80b7cad710441000e6cd72

bigcode/the-stack

train

a23c121493d96a855652b23b

train

class

@tvm._ffi.register_object("tir.ProducerRealize") class ProducerRealize(Stmt): """ProducerRealize node. Parameters ---------- producer : DataProducer The data producer. bounds : list of range The bound of realize condition : PrimExpr The realize condition. body : S...

@tvm._ffi.register_object("tir.ProducerRealize") class ProducerRealize(Stmt):

"""ProducerRealize node. Parameters ---------- producer : DataProducer The data producer. bounds : list of range The bound of realize condition : PrimExpr The realize condition. body : Stmt The realize body storage_scope : str The storage scop...

_key, value, body, span=None): self.__init_handle_by_constructor__( _ffi_api.AttrStmt, node, attr_key, value, body, span # type: ignore ) @tvm._ffi.register_object("tir.ProducerRealize") class ProducerRealize(Stmt):

64

181

21

43

BaldLee/tvm

python/tvm/tir/stmt.py

Python

ProducerRealize

371

405

371

372

55c6ecb9ba74da19883f068bd06f885c49abbaf7

bigcode/the-stack

train

1191a14552f6fdd653d98d56

train

function

def test_pad_gpu(test_case): arg_dict = OrderedDict() arg_dict["device_type"] = ["gpu"] arg_dict["flow_op"] = [flow.pad] arg_dict["tf_op"] = [tf.pad] arg_dict["input_shape"] = [(2, 2, 1, 3), (1, 1, 2, 3)] arg_dict["op_args"] = [ Args( [([0, 0], [0, 0], [1, 2], [1, 1])], ...

def test_pad_gpu(test_case):

arg_dict = OrderedDict() arg_dict["device_type"] = ["gpu"] arg_dict["flow_op"] = [flow.pad] arg_dict["tf_op"] = [tf.pad] arg_dict["input_shape"] = [(2, 2, 1, 3), (1, 1, 2, 3)] arg_dict["op_args"] = [ Args( [([0, 0], [0, 0], [1, 2], [1, 1])], tf.constant([([0, 0], ...

is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import os from collections import OrderedDict import numpy as np import oneflow as flow import tensorflow ...

88

294

7

80

Sodu-Qinming/Oneflow

oneflow/python/test/ops/test_pad.py

Python

test_pad_gpu

25

46

25

cd36e9a8803d68bd428a2e529176407859f7840e

bigcode/the-stack

train

9d86fe03f4227bda61f4b384

train

function

def test_pad_cpu(test_case): arg_dict = OrderedDict() arg_dict["device_type"] = ["cpu"] arg_dict["flow_op"] = [flow.pad] arg_dict["tf_op"] = [tf.pad] arg_dict["input_shape"] = [(2, 3, 4, 3), (5, 1, 1, 1)] arg_dict["op_args"] = [ Args( [([0, 0], [0, 0], [1, 2], [1, 1])], ...

def test_pad_cpu(test_case):

arg_dict = OrderedDict() arg_dict["device_type"] = ["cpu"] arg_dict["flow_op"] = [flow.pad] arg_dict["tf_op"] = [tf.pad] arg_dict["input_shape"] = [(2, 3, 4, 3), (5, 1, 1, 1)] arg_dict["op_args"] = [ Args( [([0, 0], [0, 0], [1, 2], [1, 1])], tf.constant([([0, 0], ...

Args( [([0, 0], [0, 0], [10, 20], [0, 0])], tf.constant([([0, 0], [0, 0], [10, 20], [0, 0])]), ), ] for arg in GenArgDict(arg_dict): CompareOpWithTensorFlow(**arg) def test_pad_cpu(test_case):

88

294

7

81

Sodu-Qinming/Oneflow

oneflow/python/test/ops/test_pad.py

Python

test_pad_cpu

49

70

49

9511e0bb5f1d1d7a133d10ee87123167d2d1bf8d

bigcode/the-stack

train

8d8014fc69878424f9267a86

train

class

class HomePageTest(TestCase): def setUp(self): self.factory = RequestFactory() def test_root_url_resolves_to_home_page_view(self): request = self.factory.get(reverse('swu:home')) response = HomeView.as_view()(request) self.assertEqual(response.status_code, 200) def test_ho...

class HomePageTest(TestCase):

def setUp(self): self.factory = RequestFactory() def test_root_url_resolves_to_home_page_view(self): request = self.factory.get(reverse('swu:home')) response = HomeView.as_view()(request) self.assertEqual(response.status_code, 200) def test_home_page_returns_correct_html(se...

from django.core.urlresolvers import reverse from django.test import TestCase, RequestFactory from ..views import HomeView class HomePageTest(TestCase):

33

64

147

7

25

Sasha-P/swsite

apps/swu/tests/test_views.py

Python

HomePageTest

7

23

7

8

ee02bd2398c70c5cb0ff628750ba4621209a7c0c

bigcode/the-stack

train

063825dba8c702dc4059ef3a

train

function

def get_listing_operations(service, region=None, selected_operations=()): """Return a list of API calls which (probably) list resources created by the user in the given service (in contrast to AWS-managed or default resources)""" client = get_client(service, region) operations = [] for operation in ...

def get_listing_operations(service, region=None, selected_operations=()):

"""Return a list of API calls which (probably) list resources created by the user in the given service (in contrast to AWS-managed or default resources)""" client = get_client(service, region) operations = [] for operation in client.meta.service_model.operation_names: if not any(operation.st...

the first CamelCased word in an API call""" client = get_client(service) return set(re.sub("([A-Z])", "_\\1", x).split("_")[1] for x in client.meta.method_to_api_mapping.values()) def get_listing_operations(service, region=None, selected_operations=()):

64

209

13

51

pwaller/aws_list_all

aws_list_all/introspection.py

Python

get_listing_operations

226

248

226

e7899711715b81804451eb02ae93bcf6640e9c3b

bigcode/the-stack

train

c2c79053c949b72ddae6ee7c

train

function

def get_services(): """Return a list of all service names where listable resources can be present""" return [service for service in boto3.Session().get_available_services() if service not in SERVICE_BLACKLIST]

def get_services():

"""Return a list of all service names where listable resources can be present""" return [service for service in boto3.Session().get_available_services() if service not in SERVICE_BLACKLIST]

DescribeSubscription', 'ListProtections'], 'ssm': ['DescribeAssociation', 'DescribeMaintenanceWindowSchedule', 'ListComplianceItems'], 'waf-regional': ['ListActivatedRulesInRuleGroup'], 'workdocs': ['DescribeActivities'], # need to be root } def get_services():

64

44

4

60

pwaller/aws_list_all

aws_list_all/introspection.py

Python

get_services

214

216

214

71028348328ddf96a23a7de5d21c61a780d72935

bigcode/the-stack

train

1a0d1d26be186557211b22ff

train

function

def get_verbs(service): """Return a list of "Verbs" given a boto3 service client. A "Verb" in this context is the first CamelCased word in an API call""" client = get_client(service) return set(re.sub("([A-Z])", "_\\1", x).split("_")[1] for x in client.meta.method_to_api_mapping.values())

def get_verbs(service):

"""Return a list of "Verbs" given a boto3 service client. A "Verb" in this context is the first CamelCased word in an API call""" client = get_client(service) return set(re.sub("([A-Z])", "_\\1", x).split("_")[1] for x in client.meta.method_to_api_mapping.values())

docs': ['DescribeActivities'], # need to be root } def get_services(): """Return a list of all service names where listable resources can be present""" return [service for service in boto3.Session().get_available_services() if service not in SERVICE_BLACKLIST] def get_verbs(service):

64

84

6

58

pwaller/aws_list_all

aws_list_all/introspection.py

Python

get_verbs

219

223

219

3bc7751c75eb7e28072785a47b21b90e276f44a6

bigcode/the-stack

train

a5a7b20e0ce0b3416384320d

train

class

class TagField(CharField): """ A "special" character field that actually works as a relationship to tags "under the hood". This exposes a space-separated string of tags, but does the splitting/reordering/etc. under the hood. """ def __init__(self, *args, **kwargs): kwargs['max_length'] =...

class TagField(CharField):

""" A "special" character field that actually works as a relationship to tags "under the hood". This exposes a space-separated string of tags, but does the splitting/reordering/etc. under the hood. """ def __init__(self, *args, **kwargs): kwargs['max_length'] = kwargs.get('max_length', 2...

""" A custom Model Field for tagging. """ from django.db.models import signals from django.db.models.fields import CharField from django.utils.translation import gettext_lazy as _ from tagging import settings from tagging.forms import TagField as TagFormField from tagging.models import Tag from tagging.utils import ed...

72

232

775

6

65

randlet/django-tagging

tagging/fields.py

Python

TagField

14

116

14

99f5aa40d7d7be10056e21a57267183e7fbbace9

bigcode/the-stack

train

409c5915310a1b4e38e0f6d4

train

function

def test_from_ndarray(): # See sympy/sympy#7465 assert Matrix(numpy.array([1, 2, 3])) == Matrix([1, 2, 3]) assert Matrix(numpy.array([[1, 2, 3]])) == Matrix([[1, 2, 3]]) assert Matrix(numpy.array([[1, 2, 3], [4, 5, 6]])) == \ Matrix([[1, 2, 3], [4, 5, 6]]) assert Matrix(numpy.array([x, y, z]...

def test_from_ndarray(): # See sympy/sympy#7465

assert Matrix(numpy.array([1, 2, 3])) == Matrix([1, 2, 3]) assert Matrix(numpy.array([[1, 2, 3]])) == Matrix([[1, 2, 3]]) assert Matrix(numpy.array([[1, 2, 3], [4, 5, 6]])) == \ Matrix([[1, 2, 3], [4, 5, 6]]) assert Matrix(numpy.array([x, y, z])) == Matrix([x, y, z]) pytest.raises(NotImpleme...

)])).all() def test_array_coeersion(): A = MatrixSymbol('A', 2, 2) assert numpy.array(A)[1][0] == MatrixElement(A, 1, 0) def test_from_ndarray(): # See sympy/sympy#7465

64

181

18

46

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_from_ndarray

285

293

285

286

322f6f04d6b1754bd55821f75dda22f5385cc9f1

bigcode/the-stack

train

34a128873dadb01d4fa110db

train

function

def test_arrays(): one = Integer(1) zero = Integer(0) X = numpy.array([one, zero, zero]) Y = one*X X = numpy.array([Symbol('a') + Rational(1, 2)]) Y = X + X assert Y == numpy.array([1 + 2*Symbol('a')]) Y = Y + 1 assert Y == numpy.array([2 + 2*Symbol('a')]) Y = X - X assert Y ...

def test_arrays():

one = Integer(1) zero = Integer(0) X = numpy.array([one, zero, zero]) Y = one*X X = numpy.array([Symbol('a') + Rational(1, 2)]) Y = X + X assert Y == numpy.array([1 + 2*Symbol('a')]) Y = Y + 1 assert Y == numpy.array([2 + 2*Symbol('a')]) Y = X - X assert Y == numpy.array([0])...

numpy.array(one + x) == numpy.array(1 + x) X = numpy.array([one, zero, zero]) assert (X == numpy.array([one, zero, zero])).all() assert (X == numpy.array([one, 0, 0])).all() def test_arrays():

64

120

4

60

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_arrays

82

93

82

b5db89f618bbef3e59f28afc5c9b4d8e639522f4

bigcode/the-stack

train

c8ca1a177aff1efa7fab29c4

train

function

def test_sympify(): assert sympify(numpy.float128(1.1)) == Float(1.1)

def test_sympify():

assert sympify(numpy.float128(1.1)) == Float(1.1)

([x, y, z])) == Matrix([x, y, z]) pytest.raises(NotImplementedError, lambda: Matrix(numpy.array([[ [1, 2], [3, 4]], [[5, 6], [7, 8]]]))) def test_sympify():

63

64

27

6

57

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_sympify

296

297

296

6eb560a304438ef6534318d7bc2e58897644ed15

bigcode/the-stack

train

d8475f806d929d3a8aa9c7d1

train

function

def test_symarray(): """Test creation of numpy arrays of diofant symbols.""" syms = symbols('_0,_1,_2') s1 = symarray('', 3) s2 = symarray('', 3) numpy.testing.assert_array_equal(s1, numpy.array(syms, dtype=object)) assert s1[0] == s2[0] a = symarray('a', 3) b = symarray('b', 3) ass...

def test_symarray():

"""Test creation of numpy arrays of diofant symbols.""" syms = symbols('_0,_1,_2') s1 = symarray('', 3) s2 = symarray('', 3) numpy.testing.assert_array_equal(s1, numpy.array(syms, dtype=object)) assert s1[0] == s2[0] a = symarray('a', 3) b = symarray('b', 3) assert not a[0] == b[0] ...

.array([[xh**2, xh*yh, xh*zh], [yh*xh, yh**2, yh*zh], [zh*xh, zh*yh, zh**2]]) actual = f(xh, yh, zh) assert numpy.allclose(actual, expected) def test_lambdify_transl(): for sym, mat in NUMPY_TRANSLATIONS.items(): assert sym in dir(diofant) ...

107

359

5

102

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_symarray

245

272

245

6fb182dcb32447da510f21cddaf529e113ba9d07

bigcode/the-stack

train

3f69c10248bfcb452e39d296

train

function

def test_matrix2numpy_conversion(): a = Matrix([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) b = numpy.array([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) assert (matrix2numpy(a) == b).all() assert matrix2numpy(a).dtype == numpy.dtype('object') c = matrix2numpy(Matrix([[1, 2], [10, 20]]), dtype='int8...

def test_matrix2numpy_conversion():

a = Matrix([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) b = numpy.array([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) assert (matrix2numpy(a) == b).all() assert matrix2numpy(a).dtype == numpy.dtype('object') c = matrix2numpy(Matrix([[1, 2], [10, 20]]), dtype='int8') d = matrix2numpy(Matrix([[1, ...

2) assert a[0, 0] == 1 assert a[0, 1] == x**2 assert a[1, 0] == 3*sin(x) assert a[1, 1] == 0 def test_matrix2numpy_conversion():

64

163

7

56

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_matrix2numpy_conversion

188

197

188

865bebba600879ebc06b8695a5f0be86a5057123

bigcode/the-stack

train

413bc1bdef74defce95f2625

train

function

@conserve_mpmath_dps def test_lambdify(): mpmath.mp.dps = 16 sin02 = mpmath.mpf('0.198669330795061215459412627') f = lambdify(x, sin(x), 'numpy') prec = 1e-15 assert -prec < f(0.2) - sin02 < prec with pytest.raises(TypeError): f(x)

@conserve_mpmath_dps def test_lambdify():

mpmath.mp.dps = 16 sin02 = mpmath.mpf('0.198669330795061215459412627') f = lambdify(x, sin(x), 'numpy') prec = 1e-15 assert -prec < f(0.2) - sin02 < prec with pytest.raises(TypeError): f(x)

0])).all() assert (Float('0.5') + numpy.array( [2*x, 0]) == numpy.array([2*x + Float('0.5'), Float('0.5')])).all() @conserve_mpmath_dps def test_lambdify():

64

100

16

48

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_lambdify

209

217

209

210

d4fa3e1365afa7238f16d21685c900badfcda754

bigcode/the-stack

train

de779b27e827a092df10822e

train

function

def test_Matrix_mul(): M = Matrix([[1, 2, 3], [x, y, x]]) m = numpy.array([[2, 4], [x, 6], [x, z**2]]) assert M*m == Matrix([ [ 2 + 5*x, 16 + 3*z**2], [2*x + x*y + x**2, 4*x + 6*y + x*z**2], ]) assert m*M == Matrix([ [ 2 + 4*x, 4 + 4*y, 6 + 4*x], ...

def test_Matrix_mul():

M = Matrix([[1, 2, 3], [x, y, x]]) m = numpy.array([[2, 4], [x, 6], [x, z**2]]) assert M*m == Matrix([ [ 2 + 5*x, 16 + 3*z**2], [2*x + x*y + x**2, 4*x + 6*y + x*z**2], ]) assert m*M == Matrix([ [ 2 + 4*x, 4 + 4*y, 6 + 4*x], [ 7*x, ...

2]]) assert m + M == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) assert M + m == M.add(m) def test_Matrix_mul():

66

223

6

60

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_Matrix_mul

152

167

152

3feeb02b77c34e99f805ba1b6f4cbcd854e2498e

bigcode/the-stack

train

4d3a399487e58208650597f4

train

function

def test_vectorize(): assert (numpy.vectorize( sin)([1, 2, 3]) == numpy.array([sin(1), sin(2), sin(3)])).all()

def test_vectorize():

assert (numpy.vectorize( sin)([1, 2, 3]) == numpy.array([sin(1), sin(2), sin(3)])).all()

_2_1') assert a3d[0, 0, 0] == a000 assert a3d[1, 2, 0] == a120 assert a3d[1, 2, 1] == a121 def test_vectorize():

64

43

5

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_vectorize

275

277

275

a3694815b1c317dda564818304fc60b4ddc8f7fb

bigcode/the-stack

train

1ac7de2aff0894e091c0ec00

train

function

def test_Matrix2(): a = numpy.array([[2, 4], [5, 1]]) assert Matrix(a) == Matrix([[2, 4], [5, 1]]) assert Matrix(a) != Matrix([[2, 4], [5, 2]]) a = numpy.array([[sin(2), 4], [5, 1]]) assert Matrix(a) == Matrix([[sin(2), 4], [5, 1]]) assert Matrix(a) != Matrix([[sin(0), 4], [5, 1]])

def test_Matrix2():

a = numpy.array([[2, 4], [5, 1]]) assert Matrix(a) == Matrix([[2, 4], [5, 1]]) assert Matrix(a) != Matrix([[2, 4], [5, 2]]) a = numpy.array([[sin(2), 4], [5, 1]]) assert Matrix(a) == Matrix([[sin(2), 4], [5, 1]]) assert Matrix(a) != Matrix([[sin(0), 4], [5, 1]])

1]])).all() m = Matrix([[sin(x), x**2], [5, 2/x]]) assert (numpy.array(m.subs({x: 2})) == numpy.array([[sin(2), 4], [5, 1]])).all() def test_Matrix2():

64

122

6

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_Matrix2

135

141

135

bb4e99f62de9855ce4a4ac79250e5d16615aff11

bigcode/the-stack

train

9fccea8ef24ff57b49166c5d

train

function

def test_conversion2(): a = 2*list2numpy([x**2, x]) b = list2numpy([2*x**2, 2*x]) assert (a == b).all() one = Integer(1) zero = Integer(0) X = list2numpy([one, zero, zero]) Y = one*X X = list2numpy([Symbol('a') + Rational(1, 2)]) Y = X + X assert Y == numpy.array([1 + 2*Symbol('...

def test_conversion2():

a = 2*list2numpy([x**2, x]) b = list2numpy([2*x**2, 2*x]) assert (a == b).all() one = Integer(1) zero = Integer(0) X = list2numpy([one, zero, zero]) Y = one*X X = list2numpy([Symbol('a') + Rational(1, 2)]) Y = X + X assert Y == numpy.array([1 + 2*Symbol('a')]) Y = Y + 1 ...

([x**2, x]) # looks like an array? assert isinstance(a, numpy.ndarray) assert a[0] == x**2 assert a[1] == x assert len(a) == 2 # yes, it's the array def test_conversion2():

64

164

5

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_conversion2

106

121

106

5ba623195a5093415e4f70d945d28d76464b1471

bigcode/the-stack

train

8b18ff394d7468675a655ea4

train

function

def test_array_coeersion(): A = MatrixSymbol('A', 2, 2) assert numpy.array(A)[1][0] == MatrixElement(A, 1, 0)

def test_array_coeersion():

A = MatrixSymbol('A', 2, 2) assert numpy.array(A)[1][0] == MatrixElement(A, 1, 0)

d[1, 2, 1] == a121 def test_vectorize(): assert (numpy.vectorize( sin)([1, 2, 3]) == numpy.array([sin(1), sin(2), sin(3)])).all() def test_array_coeersion():

64

42

7

57

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_array_coeersion

280

282

280

2f74410447b020fac86a1b9cbdfaa7a28c4d619e

bigcode/the-stack

train

da7dd7066a660d01457d6b41

train

function

def test_basics(): one = Integer(1) zero = Integer(0) assert numpy.array(1) == numpy.array(one) assert numpy.array([one]) == numpy.array([one]) assert numpy.array([x]) == numpy.array([x]) assert numpy.array(x) == numpy.array(Symbol('x')) assert numpy.array(one + x) == numpy.array(1 + x) ...

def test_basics():

one = Integer(1) zero = Integer(0) assert numpy.array(1) == numpy.array(one) assert numpy.array([one]) == numpy.array([one]) assert numpy.array([x]) == numpy.array([x]) assert numpy.array(x) == numpy.array(Symbol('x')) assert numpy.array(one + x) == numpy.array(1 + x) X = numpy.array([o...

*sin(y), 5, Integer(5)]), ] for x in diofant_objs: for y in numpy_objs: s(x, y) # now some random tests, that test particular problems and that also # check that the results of the operations are correct def test_basics():

64

132

5

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_basics

68

79

68

e676b6369a53645e955d5ee2abe0572f13f7fb36

bigcode/the-stack

train

35c8f7d568e6e9750005ae4d

train

function

def test_systematic_basic(): def s(diofant_object, numpy_array): # pylint: disable=pointless-statement diofant_object + numpy_array numpy_array + diofant_object diofant_object - numpy_array numpy_array - diofant_object diofant_object * numpy_array numpy_array ...

def test_systematic_basic():

def s(diofant_object, numpy_array): # pylint: disable=pointless-statement diofant_object + numpy_array numpy_array + diofant_object diofant_object - numpy_array numpy_array - diofant_object diofant_object * numpy_array numpy_array * diofant_object diof...

.matexpr import MatrixElement from diofant.utilities.decorator import conserve_mpmath_dps from diofant.utilities.lambdify import NUMPY_TRANSLATIONS __all__ = () numpy = pytest.importorskip('numpy') # first, systematically check, that all operations are implemented and don't # raise an exception def test_systematic...

74

249

6

67

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_systematic_basic

30

62

30

16146c50e2aa3f2f4c930091fb55ef9a3dba2985

bigcode/the-stack

train

e325e4c9af98e1d052525232

train

function

def test_matrix2numpy(): a = matrix2numpy(Matrix([[1, x**2], [3*sin(x), 0]])) assert isinstance(a, numpy.ndarray) assert a.shape == (2, 2) assert a[0, 0] == 1 assert a[0, 1] == x**2 assert a[1, 0] == 3*sin(x) assert a[1, 1] == 0

def test_matrix2numpy():

a = matrix2numpy(Matrix([[1, x**2], [3*sin(x), 0]])) assert isinstance(a, numpy.ndarray) assert a.shape == (2, 2) assert a[0, 0] == 1 assert a[0, 1] == x**2 assert a[1, 0] == 3*sin(x) assert a[1, 1] == 0

5, 6], [7, 8, 9]]) matarr = MatArray() assert Matrix(matarr) == Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) def test_matrix2numpy():

63

64

103

6

57

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_matrix2numpy

178

185

178

5d1e18cbf6414024b730c6bda84e03182a2a13ca

bigcode/the-stack

train

1a57fcc88aa3e2678e7ef89a

train

function

def test_Matrix1(): m = Matrix([[x, x**2], [5, 2/x]]) assert (numpy.array(m.subs({x: 2})) == numpy.array([[2, 4], [5, 1]])).all() m = Matrix([[sin(x), x**2], [5, 2/x]]) assert (numpy.array(m.subs({x: 2})) == numpy.array([[sin(2), 4], [5, 1]])).all()

def test_Matrix1():

m = Matrix([[x, x**2], [5, 2/x]]) assert (numpy.array(m.subs({x: 2})) == numpy.array([[2, 4], [5, 1]])).all() m = Matrix([[sin(x), x**2], [5, 2/x]]) assert (numpy.array(m.subs({x: 2})) == numpy.array([[sin(2), 4], [5, 1]])).all()

([2 + 2*Symbol('a')]) Y = X - X assert Y == numpy.array([0]) def test_list2numpy(): assert (numpy.array([x**2, x]) == list2numpy([x**2, x])).all() def test_Matrix1():

64

109

6

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_Matrix1

128

132

128

79dc2c22877d5dedf693bc5b0193ef19a6483d4a

bigcode/the-stack

train

6dacf021d8543fe3f315255a

train

function

def test_sympyissue_3728(): assert (Rational(1, 2)*numpy.array([2*x, 0]) == numpy.array([x, 0])).all() assert (Rational(1, 2) + numpy.array( [2*x, 0]) == numpy.array([2*x + Rational(1, 2), Rational(1, 2)])).all() assert (Float('0.5')*numpy.array([2*x, 0]) == numpy.array([Float('1.0')*x, 0])).all() ...

def test_sympyissue_3728():

assert (Rational(1, 2)*numpy.array([2*x, 0]) == numpy.array([x, 0])).all() assert (Rational(1, 2) + numpy.array( [2*x, 0]) == numpy.array([2*x + Rational(1, 2), Rational(1, 2)])).all() assert (Float('0.5')*numpy.array([2*x, 0]) == numpy.array([Float('1.0')*x, 0])).all() assert (Float('0.5') + nu...

20]]), dtype='int8') d = matrix2numpy(Matrix([[1, 2], [10, 20]]), dtype='float64') assert c.dtype == numpy.dtype('int8') assert d.dtype == numpy.dtype('float64') def test_sympyissue_3728():

64

167

9

55

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_sympyissue_3728

200

206

200

357b665aa68175a5a4378bbc2ee19eee901681fc

bigcode/the-stack

train

7a8ba534c8dcfb8972b0c81a

train

function

def test_lambdify_matrix_multi_input(): M = Matrix([[x**2, x*y, x*z], [y*x, y**2, y*z], [z*x, z*y, z**2]]) f = lambdify((x, y, z), M, [{'ImmutableMatrix': numpy.array}, 'numpy']) xh, yh, zh = 1.0, 2.0, 3.0 expected = numpy.array([[xh**2, xh*yh, xh*zh], ...

def test_lambdify_matrix_multi_input():

M = Matrix([[x**2, x*y, x*z], [y*x, y**2, y*z], [z*x, z*y, z**2]]) f = lambdify((x, y, z), M, [{'ImmutableMatrix': numpy.array}, 'numpy']) xh, yh, zh = 1.0, 2.0, 3.0 expected = numpy.array([[xh**2, xh*yh, xh*zh], [yh*xh, yh**2, yh*zh], ...

dify(x, Matrix([[x, 2*x], [1, 2]]), [{'ImmutableMatrix': numpy.array}, 'numpy']) assert (f(1) == numpy.array([[1, 2], [1, 2]])).all() def test_lambdify_matrix_multi_input():

64

165

10

54

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_lambdify_matrix_multi_input

225

236

225

ca73ea5212a6b824e317593271556ae0ff2047da

bigcode/the-stack

train

888ff928d10d9bd3772e3d4b

train

function

def test_Matrix_sum(): M = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) m = numpy.array([[2, 3, 4], [x, 5, 6], [x, y, z**2]]) assert M + m == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) assert m + M == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]])...

def test_Matrix_sum():

M = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) m = numpy.array([[2, 3, 4], [x, 5, 6], [x, y, z**2]]) assert M + m == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) assert m + M == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) assert M + m == M....

.array([[sin(2), 4], [5, 1]]) assert Matrix(a) == Matrix([[sin(2), 4], [5, 1]]) assert Matrix(a) != Matrix([[sin(0), 4], [5, 1]]) def test_Matrix_sum():

63

64

174

6

57

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_Matrix_sum

144

149

144

675130653180700819a99dc444e3c010ac02fd64

bigcode/the-stack

train

5ef9dda424fa2e4e0debe547

train

function

def test_lambdify_transl(): for sym, mat in NUMPY_TRANSLATIONS.items(): assert sym in dir(diofant) assert mat in dir(numpy)

def test_lambdify_transl():

for sym, mat in NUMPY_TRANSLATIONS.items(): assert sym in dir(diofant) assert mat in dir(numpy)

h, xh*zh], [yh*xh, yh**2, yh*zh], [zh*xh, zh*yh, zh**2]]) actual = f(xh, yh, zh) assert numpy.allclose(actual, expected) def test_lambdify_transl():

64

38

9

55

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_lambdify_transl

239

242

239

4a7cb0051ea9eb2d5ed4fa815493825b5d0fea17

bigcode/the-stack

train

9f45dee3451caeddfbbdd5f0

train

function

def test_list2numpy(): assert (numpy.array([x**2, x]) == list2numpy([x**2, x])).all()

def test_list2numpy():

assert (numpy.array([x**2, x]) == list2numpy([x**2, x])).all()

assert Y == numpy.array([1 + 2*Symbol('a')]) Y = Y + 1 assert Y == numpy.array([2 + 2*Symbol('a')]) Y = X - X assert Y == numpy.array([0]) def test_list2numpy():

64

31

6

58

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_list2numpy

124

125

124

8a7dc9b6def26163b3c71077819575bc27fcec37

bigcode/the-stack

train

6bf200eb7b2f61b8bd2921fd

train

function

def test_conversion1(): a = list2numpy([x**2, x]) # looks like an array? assert isinstance(a, numpy.ndarray) assert a[0] == x**2 assert a[1] == x assert len(a) == 2

def test_conversion1():

a = list2numpy([x**2, x]) # looks like an array? assert isinstance(a, numpy.ndarray) assert a[0] == x**2 assert a[1] == x assert len(a) == 2

assert Y == numpy.array([1 + 2*Symbol('a')]) Y = Y + 1 assert Y == numpy.array([2 + 2*Symbol('a')]) Y = X - X assert Y == numpy.array([0]) def test_conversion1():

64

62

5

59

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_conversion1

96

102

96

de13d455c20fa52e5c9ecee23674dcb11366dc53

bigcode/the-stack

train

1ca8806c66308307583f5d6f

train

function

def test_lambdify_numpy_matrix(): f = lambdify(x, Matrix([[x, 2*x], [1, 2]]), [{'ImmutableMatrix': numpy.array}, 'numpy']) assert (f(1) == numpy.array([[1, 2], [1, 2]])).all()

def test_lambdify_numpy_matrix():

f = lambdify(x, Matrix([[x, 2*x], [1, 2]]), [{'ImmutableMatrix': numpy.array}, 'numpy']) assert (f(1) == numpy.array([[1, 2], [1, 2]])).all()

459412627') f = lambdify(x, sin(x), 'numpy') prec = 1e-15 assert -prec < f(0.2) - sin02 < prec with pytest.raises(TypeError): f(x) def test_lambdify_numpy_matrix():

64

67

9

55

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_lambdify_numpy_matrix

220

222

220

ce4a9143dbcdca9687cee79f33f61710e3709f09

bigcode/the-stack

train

2ce4fce270cb6fdf9ee0d9b1

train

function

def test_Matrix_numpy_array(): class MatArray: def __array__(self): return numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) matarr = MatArray() assert Matrix(matarr) == Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

def test_Matrix_numpy_array():

class MatArray: def __array__(self): return numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) matarr = MatArray() assert Matrix(matarr) == Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

, 2*x + y*z**2, 3*x + x*z**2], ]) a = numpy.array([2]) assert a[0] * M == 2 * M assert M * a[0] == 2 * M def test_Matrix_numpy_array():

64

92

7

56

diofant/omg

diofant/tests/external/test_numpy.py

Python

test_Matrix_numpy_array

170

175

170

77fef73be9209350bc2aa4a1ebe995bcdbe2b015

bigcode/the-stack

train

084b61adf1d491332ce546b7

train

function

def get_all(): coins = bithumb.get_tickers() print("[%s] - # of remote : %d \t|\t # in Cache : %d" % (datetime.now(), len(coins), len(coin_cache))) return coins

def get_all():

coins = bithumb.get_tickers() print("[%s] - # of remote : %d \t|\t # in Cache : %d" % (datetime.now(), len(coins), len(coin_cache))) return coins

% datetime.now()) else: print("[%s] - a coin disappear... .. from checking job" % datetime.now()) for coin in coin_cache: if coin not in recent: coin_cache.remove(coin) # 사라진 코인 제거 ######################################################################################...

64

54

4

60

kimmikimmi/python-asyncio-coin

coin_service.py

Python

get_all

42

46

42

f44d686654719bcbca47356907076ddfc01cfed2

bigcode/the-stack

train

658b38a1a610e13e17b8428b

train

function

def make_a_deal(): if len(bucket) == 0: return for coin in list(bucket): # thread - safe print("[%s] - there is a coin to deal \t bucket : %s" % (datetime.now(), bucket)) balance = bithumb.get_balance(coin) if balance[0] == 0: # 신규 coin 개수가 0 -> 아직 구입하지 않음. buy_if...

def make_a_deal():

if len(bucket) == 0: return for coin in list(bucket): # thread - safe print("[%s] - there is a coin to deal \t bucket : %s" % (datetime.now(), bucket)) balance = bithumb.get_balance(coin) if balance[0] == 0: # 신규 coin 개수가 0 -> 아직 구입하지 않음. buy_if_possible(balance[2...

def get_all(): coins = bithumb.get_tickers() print("[%s] - # of remote : %d \t|\t # in Cache : %d" % (datetime.now(), len(coins), len(coin_cache))) return coins ############################################################################################################################## def make_a_deal()...

64

116

6

58

kimmikimmi/python-asyncio-coin

coin_service.py

Python

make_a_deal

50

62

50

eaddc6b76eef9dc2e54d7e8a8d4ec37d5762040b

bigcode/the-stack

train

c78f8df543f5e0246051317c

train

function

def buy_if_possible(total_krw, coin): recent_price = bithumb.get_current_price(coin) price_to_buy = times_for_buy * bucket[coin] if recent_price >= price_to_buy and total_krw >= price_to_buy: unit = total_krw / recent_price print("[%s] - buy\tname: %s, unit %d" % (datetime.now(), coin, unit...

def buy_if_possible(total_krw, coin):

recent_price = bithumb.get_current_price(coin) price_to_buy = times_for_buy * bucket[coin] if recent_price >= price_to_buy and total_krw >= price_to_buy: unit = total_krw / recent_price print("[%s] - buy\tname: %s, unit %d" % (datetime.now(), coin, unit)) return bithumb.buy_market_o...

0] == 0: # 신규 coin 개수가 0 -> 아직 구입하지 않음. buy_if_possible(balance[2], coin) else: sell_if_possible(balance[0], coin) ## BUYING FUNCTION############################################################################################################################ def buy_if_possible(total_...

64

103

11

52

kimmikimmi/python-asyncio-coin

coin_service.py

Python

buy_if_possible

67

74

67

6880677a5de34f8c2a13746ecd242452f59e19e6

bigcode/the-stack

train

45b4f943ad8fd65607f32f19

train

function

def check_new_coin(): recent = get_all() if len(recent) > len(coin_cache): for coin in recent: if coin not in coin_cache: print("[%s] - there is a new coin !! .. from checking job \tcoin : %s" % (datetime.now(), coin)) bucket[coin] = bithumb.get_current_price...

def check_new_coin():

recent = get_all() if len(recent) > len(coin_cache): for coin in recent: if coin not in coin_cache: print("[%s] - there is a new coin !! .. from checking job \tcoin : %s" % (datetime.now(), coin)) bucket[coin] = bithumb.get_current_price(coin) ...

umb.Bithumb(con_key, sec_key) coin_cache = bithumb.get_tickers() #coin_cache.remove("BTC") #change coin_cache if u wanna test it bucket = {} times_for_sell = 2 times_for_buy = 1.2 ############################################################################################################################## def check...

64

177

5

59

kimmikimmi/python-asyncio-coin

coin_service.py

Python

check_new_coin

21

38

21

0760ef24a399af756a2869a8fb5928bfe834a08b

bigcode/the-stack

train

f3b28c9249b0f73ed8cb94c0

train

function

def sell_if_possible(unit, coin): recent_price = bithumb.get_current_price(coin) if recent_price >= times_for_sell * bucket[coin]: # 코인 값이 상장가의 2배가 되는 경우 매도. print("[%s] - sell\tname : %s unit : %d" % (datetime.now(), coin, unit)) bithumb.sell_market_order(coin, unit) bucket.clear() #...

def sell_if_possible(unit, coin):

recent_price = bithumb.get_current_price(coin) if recent_price >= times_for_sell * bucket[coin]: # 코인 값이 상장가의 2배가 되는 경우 매도. print("[%s] - sell\tname : %s unit : %d" % (datetime.now(), coin, unit)) bithumb.sell_market_order(coin, unit) bucket.clear() # clear bucket after

unit = total_krw / recent_price print("[%s] - buy\tname: %s, unit %d" % (datetime.now(), coin, unit)) return bithumb.buy_market_order(coin, unit) ## SELLING FUNCTIONS##################################################################################################################### def sell_if_possi...

64

99

8

55

kimmikimmi/python-asyncio-coin

coin_service.py

Python

sell_if_possible

78

84

78

76d12753ee49345e04e4f421d5705fb2cec9b904

bigcode/the-stack

train

1d0450261844bddff148fa3f

train

class

class AsyncSm: def __init__(self, session): super().__init__() self._session = session def createNetworkSmBypassActivationLockAttempt(self, networkId: str, ids: list): """ **Bypass activation lock attempt** https://developer.cisco.com/meraki/api-v1/#!create-network-sm-by...

class AsyncSm:

def __init__(self, session): super().__init__() self._session = session def createNetworkSmBypassActivationLockAttempt(self, networkId: str, ids: list): """ **Bypass activation lock attempt** https://developer.cisco.com/meraki/api-v1/#!create-network-sm-bypass-activation...

class AsyncSm:

4

256

8,098

4

0

sambyers/dashboard-api-python

meraki_v1/aio/api/sm.py

Python

AsyncSm

1

714

1

e3474e0d7867597696050f110d7b02487183fc95

bigcode/the-stack

train

e758dfde5eb9bf927852d1d4

train

function

def moveFWP(wp, pos, act): mlp = int(d[i][1:]) return pos + mlp*wp[:2]

def moveFWP(wp, pos, act):

mlp = int(d[i][1:]) return pos + mlp*wp[:2]

% 360)*np.pi/180 rot = np.array([[np.cos(theta), -np.sin(theta)], [np.sin(theta), np.cos(theta)]]) return np.concatenate([rot.dot(pos[:2]),[0]]) def moveFWP(wp, pos, act):

63

64

34

11

52

seblars/AdventOfCode2020

day12.py

Python

moveFWP

38

41

38

9df895e7fb499ffff92ec1418ff2fb954c66d3bb

bigcode/the-stack

train

d226663bfa14d5522bf9c0e5

train

function

def manhattenDist(pos): return np.abs(pos[0]) + np.abs(pos[1])

def manhattenDist(pos):

return np.abs(pos[0]) + np.abs(pos[1])

elif act[0] == 'R': move[2] = -int(act[1:]) elif act[0] == 'F': return moveF(pos, act) else: raise ValueError('Unknown act.') return pos + move def manhattenDist(pos):

64

22

7

56

seblars/AdventOfCode2020

day12.py

Python

manhattenDist

28

29

28

917a01d96ddac6d8d94f4a08e08cbef454d7a8e5

bigcode/the-stack

train

f424debcc92c75c756b7a8cd

train

function

def moveF(pos, act): rot = pos[2] % 360 if rot == 0: act = 'E' + act[1:] elif rot == 90: act = 'N' + act[1:] elif rot == 180: act = 'W' + act[1:] elif rot == 270: act = 'S' + act[1:] else: raise ValueError('Unknown dir.') return moveBoat(pos, act)

def moveF(pos, act):

rot = pos[2] % 360 if rot == 0: act = 'E' + act[1:] elif rot == 90: act = 'N' + act[1:] elif rot == 180: act = 'W' + act[1:] elif rot == 270: act = 'S' + act[1:] else: raise ValueError('Unknown dir.') return moveBoat(pos, act)

import fileinput import numpy as np def moveF(pos, act):

16

64

110

7

8

seblars/AdventOfCode2020

day12.py

Python

moveF

4

12

4

42e1921e2df58ee2ee5143f53817adb78c27a913

bigcode/the-stack

train

6b6369eea95011dfc672610d

train

function

def moveBoat(pos, act): # pos - (x, y, dir) move = np.zeros(3,) if act[0] == 'N': move[1] = int(act[1:]) elif act[0] == 'S': move[1] = -int(act[1:]) elif act[0] == 'E': move[0] = int(act[1:]) elif act[0] == 'W': move[0] = -int(act[1:]) elif act[0] == 'L': move[2] = int(act[1:]) e...

def moveBoat(pos, act): # pos - (x, y, dir)

move = np.zeros(3,) if act[0] == 'N': move[1] = int(act[1:]) elif act[0] == 'S': move[1] = -int(act[1:]) elif act[0] == 'E': move[0] = int(act[1:]) elif act[0] == 'W': move[0] = -int(act[1:]) elif act[0] == 'L': move[2] = int(act[1:]) elif act[0] == 'R': move[2] = -int(act[1:]) el...

W' + act[1:] elif rot == 270: act = 'S' + act[1:] else: raise ValueError('Unknown dir.') return moveBoat(pos, act) def moveBoat(pos, act): # pos - (x, y, dir)

64

191

18

46

seblars/AdventOfCode2020

day12.py

Python

moveBoat

14

26

14

15

553305c1f15afaa2548656d53b637732fd4415e2

bigcode/the-stack

train

0df9a2f18ee625430ecdd7cb

train

function

def rotMat(pos): theta = (pos[2] % 360)*np.pi/180 rot = np.array([[np.cos(theta), -np.sin(theta)], [np.sin(theta), np.cos(theta)]]) return np.concatenate([rot.dot(pos[:2]),[0]])

def rotMat(pos):

theta = (pos[2] % 360)*np.pi/180 rot = np.array([[np.cos(theta), -np.sin(theta)], [np.sin(theta), np.cos(theta)]]) return np.concatenate([rot.dot(pos[:2]),[0]])

:]) elif act[0] == 'F': return moveF(pos, act) else: raise ValueError('Unknown act.') return pos + move def manhattenDist(pos): return np.abs(pos[0]) + np.abs(pos[1]) def rotMat(pos):

64

66

5

59

seblars/AdventOfCode2020

day12.py

Python

rotMat

31

36

31

820c02da2c5564c7753956ed405cd82a91945e66

bigcode/the-stack

train

0ad2f1911c675da3023993ba

train

function

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator( document_store: BaseDocumentStore, retriever: EmbeddingRetriever, question_generato...

document_store.write_documents(docs_with_true_emb) psg = PseudoLabelGenerator(question_generator, retriever) train_examples = [] output, _ = psg.run(documents=document_store.get_all_documents()) assert "gpl_labels" in output for item in output["gpl_labels"]: assert "question" in item and...

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator( document_store: BaseDocumentStore, retriever: EmbeddingRetriever, question_generato...

77

64

187

77

0

deepset-ai/Haystack

test/nodes/test_label_generator.py

Python

test_pseudo_label_generator

11

30

11

20

0f844238849ff7b1d5e00abf560092250e07e188

bigcode/the-stack

train

4db758fb739cadf315997f5a

train

function

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_using_question_document_pairs( document_store: BaseDocumentStore, retriever: EmbeddingRetrie...

document_store.write_documents(docs_with_true_emb) docs = [ { "question": "What is the capital of Germany?", "document": "Berlin is the capital and largest city of Germany by both area and population.", }, { "question": "What is the largest city in Ger...

(train_examples) > 0 @pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_using_question_document_pairs( document_store: BaseDocumentStore, retri...

79

265

72

6

deepset-ai/Haystack

test/nodes/test_label_generator.py

Python

test_pseudo_label_generator_using_question_document_pairs

56

82

56

62

6190478062e616c284f9c0de6adc71c8d166a877

bigcode/the-stack

train

644f3a0c89c33b422afe6167

train

function

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_using_question_document_pairs_batch( document_store: BaseDocumentStore, retriever: Embedding...

document_store.write_documents(docs_with_true_emb) docs = [ { "question": "What is the capital of Germany?", "document": "Berlin is the capital and largest city of Germany by both area and population.", }, { "question": "What is the largest city in Ger...

(train_examples) > 0 @pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_using_question_document_pairs_batch( document_store: BaseDocumentStore,...

80

267

73

6

deepset-ai/Haystack

test/nodes/test_label_generator.py

Python

test_pseudo_label_generator_using_question_document_pairs_batch

85

112

85

91

e0beac29ed76bb5815f9f0f55c608051bd67564a

bigcode/the-stack

train

275648a488758ee22f56e96d

train

function

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_batch( document_store: BaseDocumentStore, retriever: EmbeddingRetriever, question_ge...

document_store.write_documents(docs_with_true_emb) psg = PseudoLabelGenerator(question_generator, retriever) train_examples = [] output, _ = psg.run_batch(documents=document_store.get_all_documents()) assert "gpl_labels" in output for item in output["gpl_labels"]: assert "question" in i...

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_pseudo_label_generator_batch( document_store: BaseDocumentStore, retriever: EmbeddingRetriever, question_ge...

78

64

189

78

0

deepset-ai/Haystack

test/nodes/test_label_generator.py

Python

test_pseudo_label_generator_batch

33

53

33

42

f06d571137129fca000eef31699100acdec174dd

bigcode/the-stack

train

a735455d08631d00fe16de77

train

function

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_training_and_save(retriever: EmbeddingRetriever, tmp_path: Path): train_examples = [ { "questio...

@pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_training_and_save(retriever: EmbeddingRetriever, tmp_path: Path):

train_examples = [ { "question": "What is the capital of Germany?", "pos_doc": "Berlin is the capital and largest city of Germany by both area and population.", "neg_doc": "The capital of Germany is the city state of Berlin.", "score": -2.2788997, }, ...

assert len(train_examples) > 0 @pytest.mark.generator @pytest.mark.integration @pytest.mark.parametrize("document_store", ["memory"], indirect=True) @pytest.mark.parametrize("retriever", ["embedding_sbert"], indirect=True) def test_training_and_save(retriever: EmbeddingRetriever, tmp_path: Path):

64

210

54

9

deepset-ai/Haystack

test/nodes/test_label_generator.py

Python

test_training_and_save

115

135

115

119

0760de3adecc41f2d5e3fc2d6ef7e2153d96cf03

bigcode/the-stack

train

d6f07e9cf73d46edda870e21

train

class

class Sorting: """ Class for keeping sorting methods for the also_likes functionnality together """ @staticmethod def freq_ascending_sort(data): # Data as : , returns ['<DOC_ID>', '<DOC_ID>'...] """ Description : Returns the document list sorted in ascending order of frequency Parameters...

class Sorting:

""" Class for keeping sorting methods for the also_likes functionnality together """ @staticmethod def freq_ascending_sort(data): # Data as : , returns ['<DOC_ID>', '<DOC_ID>'...] """ Description : Returns the document list sorted in ascending order of frequency Parameters : Document li...

return lines """ Exceptions """ class InvalidViewInterfaceError(AttributeError): def __init__(self, view): logger.critical("View {0} isn't valid !".format(view)) raise CriticalRunError class InvalidArgumentError(AttributeError): def __init__(self, msg): logger.critical(msg...

162

163

544

3

159

MrNeocore/Python-web-browser

utils.py

Python

Sorting

76

122

76

1a8611c6131250dbd365f127ac0018d542447c71

bigcode/the-stack

train

1a1340af531eee54d199c0ec

train

class

class InvalidArgumentError(AttributeError): def __init__(self, msg): logger.critical(msg) raise CriticalRunError

class InvalidArgumentError(AttributeError):

def __init__(self, msg): logger.critical(msg) raise CriticalRunError

fd.close() logger.debug("Done") return lines """ Exceptions """ class InvalidViewInterfaceError(AttributeError): def __init__(self, view): logger.critical("View {0} isn't valid !".format(view)) raise CriticalRunError class InvalidArgumentError(AttributeError):

64

28

7

56

MrNeocore/Python-web-browser

utils.py

Python

InvalidArgumentError

54

57

54

0019067f031405acedb3ba59eb39392dcf822062

bigcode/the-stack

train

5cace13a78bcbf6b5cf823a6

train

function

def start_logging(level, log_file=None): """ Description : Initializes logging module for both stdout and file if requested. /!\ Handling with quiet flag not really perfect... Parameters : Verbosity level [level], variable to store logg and optional log_file """ global logger ...

def start_logging(level, log_file=None):

""" Description : Initializes logging module for both stdout and file if requested. /!\ Handling with quiet flag not really perfect... Parameters : Verbosity level [level], variable to store logg and optional log_file """ global logger logging.RESULTS = 25 logging.a...

axes.grid(False) axes.yaxis.set_visible(False) axes.xaxis.set_visible(False) def reset_plot(axes): """ Show the axis again after displaying a also_likes graph""" #axes.axis('on') axes.grid(True) axes.yaxis.set_visible(True) axes.xaxis.set_visibl...

86

87

291

9

77

MrNeocore/Python-web-browser

utils.py

Python

start_logging

184

218

184

a716967524682db535404208bb95b7a7cabfd195

bigcode/the-stack

train

03cc67eb1d51932caea7e4b0

train

class

class MissingFileError(Exception): def __init__self(self, msg): logger.critical(msg) raise CriticalRunError

class MissingFileError(Exception):

def __init__self(self, msg): logger.critical(msg) raise CriticalRunError

def __init__(self, view): logger.critical("View {0} isn't valid !".format(view)) raise CriticalRunError class InvalidArgumentError(AttributeError): def __init__(self, msg): logger.critical(msg) raise CriticalRunError class MissingFileError(Exception):

64

28

6

57

MrNeocore/Python-web-browser

utils.py

Python

MissingFileError

59

62

59

92dc4ec43de2b4b8556571b165d83c951d20041b

bigcode/the-stack

train

ba89071bc16500c982d996b4

train

class

class Plotting: """ Class to gathers all plotting / image display related methods """ @staticmethod def plot(axes, data): """ Description : Plots a given dataset on given axes along the first variable of this dataset Parameters : axes [axes] to plot data [data] on. Data is a Pandas Data...

class Plotting:

""" Class to gathers all plotting / image display related methods """ @staticmethod def plot(axes, data): """ Description : Plots a given dataset on given axes along the first variable of this dataset Parameters : axes [axes] to plot data [data] on. Data is a Pandas DataFrame and the fi...

es = [{"lower":1, "upper":999, "suffix":""}, {"lower":999, "upper":999999, "suffix":"K"}, {"lower":999999, "upper":999999999, "suffix":"M"}] for suffix in suffixes: if line_count > suffix["lower"] and line_count < suffix["upper"]: return "{0} {1}".format(roun...

111

370

4

107

MrNeocore/Python-web-browser

utils.py

Python

Plotting

147

181

147

15a00947245a99c94d616b4ce6bf4de3f59db4e6

bigcode/the-stack

train

ae1da0c21ee043375b688445

train

function

def arg_parser(): """ Returns an initialized ArgumentParser object """ parser = argparse.ArgumentParser(description='Issuu data analytics software') gui_group = parser.add_mutually_exclusive_group() verbosity_group = parser.add_mutually_exclusive_group() gui_group.add_argument('--gui', action='st...

def arg_parser():

""" Returns an initialized ArgumentParser object """ parser = argparse.ArgumentParser(description='Issuu data analytics software') gui_group = parser.add_mutually_exclusive_group() verbosity_group = parser.add_mutually_exclusive_group() gui_group.add_argument('--gui', action='store_true',\ ...

atter('[%(levelname)s] : %(message)s') stream_h.setFormatter(formatter) if log_file is not None: #os.access(os.path.dirname(log_file), os.W_OK): try: file_h = logging.FileHandler(log_file) except PermissionError: logger.wa...

117

118

396

4

113

MrNeocore/Python-web-browser

utils.py

Python

arg_parser

220

262

220

74ab943110092f1f90168082a9ea2dcd3752abeb

bigcode/the-stack

train

e8f287987f2388b49e676e6f

train

class

class InvalidViewInterfaceError(AttributeError): def __init__(self, view): logger.critical("View {0} isn't valid !".format(view)) raise CriticalRunError

class InvalidViewInterfaceError(AttributeError):

def __init__(self, view): logger.critical("View {0} isn't valid !".format(view)) raise CriticalRunError

x: x, (fd.raw.read(1024*1024) for _ in repeat(None))) lines = sum(buf.count(b'\n') for buf in bufgen) fd.close() logger.debug("Done") return lines """ Exceptions """ class InvalidViewInterfaceError(AttributeError):

63

64

39

8

55

MrNeocore/Python-web-browser

utils.py

Python

InvalidViewInterfaceError

49

52

49

34917985e377caf8d65a37fca93d846050a0abc9

bigcode/the-stack

train

08810b30151ef0bc51b8eebf

train

class

class InvalidTaskError(Exception): def __init__self(self, msg): logger.critical(msg) raise CriticalRunError

class InvalidTaskError(Exception):

def __init__self(self, msg): logger.critical(msg) raise CriticalRunError

Error class InvalidArgumentError(AttributeError): def __init__(self, msg): logger.critical(msg) raise CriticalRunError class MissingFileError(Exception): def __init__self(self, msg): logger.critical(msg) raise CriticalRunError class InvalidTaskError(Exception):

64

28

6

57

MrNeocore/Python-web-browser

utils.py

Python

InvalidTaskError

64

67

64

e99d03e418c6203100d67465f62e317b28586ddf

bigcode/the-stack

train

1df0a62b5cca5f377bd621e0

train

class

class CriticalRunError(Exception): def __init__(self): logger.critical("Critical error - exiting") sys.exit(1)

class CriticalRunError(Exception):

def __init__(self): logger.critical("Critical error - exiting") sys.exit(1)

Error class MissingFileError(Exception): def __init__self(self, msg): logger.critical(msg) raise CriticalRunError class InvalidTaskError(Exception): def __init__self(self, msg): logger.critical(msg) raise CriticalRunError class CriticalRunError(Exception):

64

29

6

57

MrNeocore/Python-web-browser

utils.py

Python

CriticalRunError

69

72

69

0e7ff183bd84557b8d59cec9382ffbb338e4303e

bigcode/the-stack

train

344cecdc722f1cbb393a7b17

train

function

def check_doc_id(txt): """ Quickly checks if a document_id is likely to be valid. Return True / False depending on result """ if len(txt) == 45 and txt[12] == '-' and all(letter in ['a','b','c','d','e','f','0','1','2','3','4','5','6','7','8','9','-'] for letter in txt): return True else: ret...

def check_doc_id(txt):

""" Quickly checks if a document_id is likely to be valid. Return True / False depending on result """ if len(txt) == 45 and txt[12] == '-' and all(letter in ['a','b','c','d','e','f','0','1','2','3','4','5','6','7','8','9','-'] for letter in txt): return True else: return False

data: sorted_docs.append((doc_id, doc_weights.get(doc_id, freq))) # If we have no bias toward this document, simply use its frequency sorted_docs = sorted(sorted_docs, key=lambda x:x[1], reverse=True) return sorted_docs def check_doc_id(txt):

64

98

6

57

MrNeocore/Python-web-browser

utils.py

Python

check_doc_id

125

130

125

4a737e112cbe97216fa971575511a303c1caa84f

bigcode/the-stack

train

37ebf18de1dc31d1ecce2038

train

function

def get_file_size(line_count): """ Description : Returns a human readable file line count. 38734 lines -> 39K Parameters : Raw line count [line_count] Returns : Human readable file line count (ex : 12M) """ suffixes = [{"lower":1, "upper":999, "suffix":""}, {"lower":999,...

def get_file_size(line_count):

""" Description : Returns a human readable file line count. 38734 lines -> 39K Parameters : Raw line count [line_count] Returns : Human readable file line count (ex : 12M) """ suffixes = [{"lower":1, "upper":999, "suffix":""}, {"lower":999, "upper":999999, "suffix":"K"},...

== '-' and all(letter in ['a','b','c','d','e','f','0','1','2','3','4','5','6','7','8','9','-'] for letter in txt): return True else: return False def get_file_size(line_count):

64

166

7

56

MrNeocore/Python-web-browser

utils.py

Python

get_file_size

132

145

132

57f373bad43d3728a9c5579d22df678c00e6de72

bigcode/the-stack

train

7db3333c7625e815d01b12fe

train

class

class ChatLink(mongoengine.Document): source_chat_id = mongoengine.LongField(required=True, null=False) target_chat_id = mongoengine.LongField(null=True) first_name = mongoengine.StringField() user_id = mongoengine.LongField(required=True, null=False) date_added = mongoengine.DateTimeField(default...

class ChatLink(mongoengine.Document):

source_chat_id = mongoengine.LongField(required=True, null=False) target_chat_id = mongoengine.LongField(null=True) first_name = mongoengine.StringField() user_id = mongoengine.LongField(required=True, null=False) date_added = mongoengine.DateTimeField(default=localized_date) @classmethod ...

import mongoengine from marvinbot.utils import localized_date class ChatLink(mongoengine.Document):

21

79

266

8

12

BotDevGroup/save_plugin

save_plugin/models.py

Python

ChatLink

5

46

5

6

b7d1445e4d96d2c8d1daabe487b74114cdb21d60

bigcode/the-stack

train

f3a006dbd474572e46568a1c

train

class

class AstMatchLexer(): def __init__(self, data=""): self.lexdata = "" self.lineno = 0 self.lexpos = 0 self.bracketstates = {} self.tokens = [] self.cur = 0 self.input(data) def input(self, data): self.lexdata = data self.bracketstates = {"{": [0], "[": [0], "<": [0], "(...

class AstMatchLexer():

def __init__(self, data=""): self.lexdata = "" self.lineno = 0 self.lexpos = 0 self.bracketstates = {} self.tokens = [] self.cur = 0 self.input(data) def input(self, data): self.lexdata = data self.bracketstates = {"{": [0], "[": [0], "<": [0], "(": [0]} self.bracke...

import sys, traceback from js_global import glob import ply.yacc as yacc import ply.lex as lex from ply.lex import TOKEN, LexToken # List of token names. This is always required from js_lex import LexWithPrev from js_regexpr_parse import parser as rparser from types import BuiltinMethodType as PyMethodType, Built...

246

256

1,349

5

240

joeedh/webblender

tools/extjs_cc/js_ast_match_lex.py

Python

AstMatchLexer

48

257

48

555efd13ce4c12fc44427fef73f24161588846a4

bigcode/the-stack

train

efa6092b7f02bf3a6575e185

train

function

def is_word_char(cc): return re_word_pat.match(cc) != None

def is_word_char(cc):

return re_word_pat.match(cc) != None

", "OR", "CODE", "NOT", "COMMA", "SPECIAL", "STAR", ) + tuple(reserved_lst) re_word_pat = re.compile(r'[a-zA-Z_]+[a-zA-Z0-9_]*') def is_word_char(cc):

64

17

6

58

joeedh/webblender

tools/extjs_cc/js_ast_match_lex.py

Python

is_word_char

45

46

45

e49d2867184c33f13fad2eaaadadd822dd7deaf5

bigcode/the-stack

train

9961359d7f06117c420da80c

train

function

def Main(): host = '0.0.0.0' port = 8080 s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.bind((host, port)) print("socket binded to port", port) print(socket.gethostbyname(host)) s.listen(5) print("socket is listening") # a forever loop until client wants to exit while...

def Main():

host = '0.0.0.0' port = 8080 s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.bind((host, port)) print("socket binded to port", port) print(socket.gethostbyname(host)) s.listen(5) print("socket is listening") # a forever loop until client wants to exit while True: ...

lock released on exit print_lock.release() break # reverse the given string from client print(str(data.decode('ascii'))) data = data[::1] # send back reversed string to client c.send(data) # connection closed c.close() def Main():

64

161

3

61

TacPhoto/Learning

Python/StandaloneExercises/TCP_Server.py

Python

Main

35

58

35

3d7fbb2d771edaba729fadf99a3052b7c705a6fb

bigcode/the-stack

train

acbb225c36e9ce1ca655faf7

train

function

def threaded(c): while True: # data received from client data = c.recv(1024) if not data: print("No data received") # lock released on exit print_lock.release() break # reverse the given string from client print(str(data.deco...

def threaded(c):

while True: # data received from client data = c.recv(1024) if not data: print("No data received") # lock released on exit print_lock.release() break # reverse the given string from client print(str(data.decode('ascii'))) ...

# import socket programming library import socket # import thread module from _thread import * import threading print_lock = threading.Lock() # thread function def threaded(c):

36

64

99

4

31

TacPhoto/Learning

Python/StandaloneExercises/TCP_Server.py

Python

threaded

12

32

12

73112aaaf43f80a7dd3ba6379d37eb87cbfadb9e

bigcode/the-stack

train

dedf11d3fdf247a9bc4cb334

train

class

class BaseWptScriptAdapter(common.BaseIsolatedScriptArgsAdapter): """The base class for script adapters that use wptrunner to execute web platform tests. This contains any code shared between these scripts, such as integrating output with the results viewer. Subclasses contain other (usually platform-sp...

class BaseWptScriptAdapter(common.BaseIsolatedScriptArgsAdapter):

"""The base class for script adapters that use wptrunner to execute web platform tests. This contains any code shared between these scripts, such as integrating output with the results viewer. Subclasses contain other (usually platform-specific) logic.""" def __init__(self): super(BaseWptSc...

# Copyright 2020 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import base64 import json import os import shutil import sys import common BLINK_TOOLS_DIR = os.path.join(common.SRC_DIR, 'third_party', 'blink', 'tools') ...

157

256

1,894

14

142

mghgroup/Glide-Browser

testing/scripts/wpt_common.py

Python

BaseWptScriptAdapter

22

218

22

19f171b3cafc53ed1bb83d8f10d36964512007ec

bigcode/the-stack

train

e809ff0ad30be6a76f5826a4

train

class

class ProfileAdapter(): """ The profile adapter class. This class needs to cotain various methods. It is loaded dynamically by the UMS during startup. Then the methods are used during the runtime. """ def get_api_definition_registration(self, std_string_size: int) -> Dict[str, fields.Raw]: ...

class ProfileAdapter():

""" The profile adapter class. This class needs to cotain various methods. It is loaded dynamically by the UMS during startup. Then the methods are used during the runtime. """ def get_api_definition_registration(self, std_string_size: int) -> Dict[str, fields.Raw]: """ Get ...

""" This module contains the skeleton for the profile adapter class. The real implementation is loaded at runtime by the profil_adapter_loader """ from typing import Dict, Tuple from flask_restplus import fields class ProfileAdapter():

44

73

246

4

39

c-hack/ums-api

ums_api/profile_adapter_skel.py

Python

ProfileAdapter

9

37

9

9eed75176f7ab9eae3561cf2efad388d25e2c12c

bigcode/the-stack

train

674e079aac2619a5e5f18988

train

function

def getResponse(word): negativeKeyWords = ["bad","wasn't","not","sucks"] positiveKeyWords = ["good","great","awesome","alright","well"] if word in negativeKeyWords: return "I'm sorry about that." elif word in positiveKeyWords: return "That's great to hear!"

def getResponse(word):

negativeKeyWords = ["bad","wasn't","not","sucks"] positiveKeyWords = ["good","great","awesome","alright","well"] if word in negativeKeyWords: return "I'm sorry about that." elif word in positiveKeyWords: return "That's great to hear!"

userInput = raw_input("How is your day going? ") #get input userInput = userInput.lower() #make all characters lowercase def getResponse(word):

35

64

70

5

29

berkeleyhackclub/BeginnerPython

Week 6 Oct 17,18/simpleChatBox1.py

Python

getResponse

4

11

4

94e9f20a3962fd9908e01592c33bb0c71a7eb3ff

bigcode/the-stack

train

98c36b9712ef7590c41d24ef

train

function

def searchInput(input): listInput = input.split(" ") response = "Well, life is life." for word in listInput: if getResponse(word): #If the word matches our key words response = getResponse(word) print(response)

def searchInput(input):

listInput = input.split(" ") response = "Well, life is life." for word in listInput: if getResponse(word): #If the word matches our key words response = getResponse(word) print(response)

","wasn't","not","sucks"] positiveKeyWords = ["good","great","awesome","alright","well"] if word in negativeKeyWords: return "I'm sorry about that." elif word in positiveKeyWords: return "That's great to hear!" def searchInput(input):

63

64

56

5

58

berkeleyhackclub/BeginnerPython

Week 6 Oct 17,18/simpleChatBox1.py

Python

searchInput

14

21

14

75059d15a26d190498ec43db2a5a7eb7489c7848

bigcode/the-stack

train

b5a10f413b9ac56abf9d2912

train

function

def green(_): green = [0, 128, 0] writeToLux(green)

def green(_):

green = [0, 128, 0] writeToLux(green)

menu.append(cmd_exit) menu.show_all() return menu def lightOff(_): off = [0, 0, 0] writeToLux(off) def red(_): red = [255, 0, 0] writeToLux(red) def green(_):

63

64

22

4

59

Trustmega/luxatray

luxatray.py

Python

green

49

51

49

1b3bce2a1ba66d62dda7aa2c471c38bc2eba5119

bigcode/the-stack

train

015fa461a2bc9fb3d6b20e04

train

function

def lightOff(_): off = [0, 0, 0] writeToLux(off)

def lightOff(_):

off = [0, 0, 0] writeToLux(off)

cmd_blue = gtk.MenuItem('Blue') cmd_blue.connect('activate', blue) menu.append(cmd_blue) cmd_exit = gtk.MenuItem('Exit') cmd_exit.connect('activate', quit) menu.append(cmd_exit) menu.show_all() return menu def lightOff(_):

64

22

5

58

Trustmega/luxatray

luxatray.py

Python

lightOff

41

43

41

697879048cc9492dabcc0f023e96151082f34f14

bigcode/the-stack

train

3b251bbb45b8c15b4b3ffc99

train

function

def main(): indicator = appindicator.Indicator.new("luxatray", "starred-symbolic", appindicator.IndicatorCategory.APPLICATION_STATUS) indicator.set_status(appindicator.IndicatorStatus.ACTIVE) indicator.set_menu(menu()) gtk.main()

def main():

indicator = appindicator.Indicator.new("luxatray", "starred-symbolic", appindicator.IndicatorCategory.APPLICATION_STATUS) indicator.set_status(appindicator.IndicatorStatus.ACTIVE) indicator.set_menu(menu()) gtk.main()

import os import hid from gi.repository import Gtk as gtk, AppIndicator3 as appindicator def main():

24

64

53

3

20

Trustmega/luxatray

luxatray.py

Python

main

6

11

6

fe8e5d962035af0d1ebaccb228fc57e08499a69b

bigcode/the-stack

train

a7dc05c0f5c3ee9140034e6a

train

function

def writeToLux(color): device = hid.device() device.open(0x04D8, 0xF372) device.write([2] + [0x41] + color + [10]) device.close()

def writeToLux(color):

device = hid.device() device.open(0x04D8, 0xF372) device.write([2] + [0x41] + color + [10]) device.close()

(red) def green(_): green = [0, 128, 0] writeToLux(green) def blue(_): blue = [0, 0, 255] writeToLux(blue) def quit(_): gtk.main_quit() def writeToLux(color):

63

64

46

6

57

Trustmega/luxatray

luxatray.py

Python

writeToLux

60

64

60

2c5d9a1eb5059f4b8422e1677b8ed55557f211c2

bigcode/the-stack

train

84dcff44787d8e1227f19d97

train

function

def quit(_): gtk.main_quit()

def quit(_):

gtk.main_quit()

= [255, 0, 0] writeToLux(red) def green(_): green = [0, 128, 0] writeToLux(green) def blue(_): blue = [0, 0, 255] writeToLux(blue) def quit(_):

64

10

4

60

Trustmega/luxatray

luxatray.py

Python

quit

57

58

57

8933fe2f6ab7861ce4a7046d612eba560ccc5d22

bigcode/the-stack

train

4f43db24e23b4696b37cb175

train

function

def blue(_): blue = [0, 0, 255] writeToLux(blue)

def blue(_):

blue = [0, 0, 255] writeToLux(blue)

= [0, 0, 0] writeToLux(off) def red(_): red = [255, 0, 0] writeToLux(red) def green(_): green = [0, 128, 0] writeToLux(green) def blue(_):

64

22

4

60

Trustmega/luxatray

luxatray.py

Python

blue

53

55

53

0f28ae65096ce470aa1fc39743017fb88ca83ec8

bigcode/the-stack

train

049c6f7768cd0b8ebc61d0c8

train

function

def menu(): menu = gtk.Menu() cmd_off = gtk.MenuItem('Off') cmd_off.connect('activate', lightOff) menu.append(cmd_off) cmd_red = gtk.MenuItem('Red') cmd_red.connect('activate', red) menu.append(cmd_red) cmd_green = gtk.MenuItem('Green') cmd_green.connect('activate', green)...

def menu():

menu = gtk.Menu() cmd_off = gtk.MenuItem('Off') cmd_off.connect('activate', lightOff) menu.append(cmd_off) cmd_red = gtk.MenuItem('Red') cmd_red.connect('activate', red) menu.append(cmd_red) cmd_green = gtk.MenuItem('Green') cmd_green.connect('activate', green) menu.ap...

, AppIndicator3 as appindicator def main(): indicator = appindicator.Indicator.new("luxatray", "starred-symbolic", appindicator.IndicatorCategory.APPLICATION_STATUS) indicator.set_status(appindicator.IndicatorStatus.ACTIVE) indicator.set_menu(menu()) gtk.main...

64

148

3

61

Trustmega/luxatray

luxatray.py

Python

menu

14

38

14

915fb2ad86d4c9722082fe21d10f8339981e5f4b

bigcode/the-stack

train

918aae76a9ea00a1e17b63a5

train

function

def red(_): red = [255, 0, 0] writeToLux(red)

def red(_):

red = [255, 0, 0] writeToLux(red)

_blue) cmd_exit = gtk.MenuItem('Exit') cmd_exit.connect('activate', quit) menu.append(cmd_exit) menu.show_all() return menu def lightOff(_): off = [0, 0, 0] writeToLux(off) def red(_):

63

64

21

4

59

Trustmega/luxatray

luxatray.py

Python

red

45

47

45

792577f44fd6102c5fefadb791f85ef6a9b758ae

bigcode/the-stack

train

a85c49380dd496ae1ad368c7

train

class

class Epoch(DataObject): ''' Array of epochs. *Usage*:: >>> from neo.core import Epoch >>> from quantities import s, ms >>> import numpy as np >>> >>> epc = Epoch(times=np.arange(0, 30, 10)*s, ... durations=[10, 5, 7]*ms, ... ...

class Epoch(DataObject):

''' Array of epochs. *Usage*:: >>> from neo.core import Epoch >>> from quantities import s, ms >>> import numpy as np >>> >>> epc = Epoch(times=np.arange(0, 30, 10)*s, ... durations=[10, 5, 7]*ms, ... labels=np.array(['btn0', ...

# -*- coding: utf-8 -*- ''' This module defines :class:`Epoch`, an array of epochs. :class:`Epoch` derives from :class:`BaseNeo`, from :module:`neo.core.baseneo`. ''' # needed for python 3 compatibility from __future__ import absolute_import, division, print_function import sys from copy import deepcopy, copy impor...

251

256

2,811

5

245

bjoern1001001/python-neo

neo/core/epoch.py

Python

Epoch

38

360

38

fb07d8a1e968baf5b39c6cc42c8a71fdd66b0e31

bigcode/the-stack

train

3865bb397c92c67e9ef8958f

train

function

def _new_epoch(cls, times=None, durations=None, labels=None, units=None, name=None, description=None, file_origin=None, array_annotations=None, annotations=None, segment=None): ''' A function to map epoch.__new__ to function that does not do the unit checking. This is needed fo...

def _new_epoch(cls, times=None, durations=None, labels=None, units=None, name=None, description=None, file_origin=None, array_annotations=None, annotations=None, segment=None):

''' A function to map epoch.__new__ to function that does not do the unit checking. This is needed for pickle to work. ''' e = Epoch(times=times, durations=durations, labels=labels, units=units, name=name, file_origin=file_origin, description=description, array_annotation...

merge_annotations from neo.core.dataobject import DataObject, ArrayDict PY_VER = sys.version_info[0] def _new_epoch(cls, times=None, durations=None, labels=None, units=None, name=None, description=None, file_origin=None, array_annotations=None, annotations=None, segment=None):

64

126

40

24

bjoern1001001/python-neo

neo/core/epoch.py

Python

_new_epoch

24

35

24

26

fd9df30d454d67f36f8d92741d1bf861cdf2454f

bigcode/the-stack

train

1b0d295aacb17683c77d3984

train

function

def compute_fd(motpars): # compute absolute displacement dmotpars=N.zeros(motpars.shape) dmotpars[1:,:]=N.abs(motpars[1:,:] - motpars[:-1,:]) # convert rotation to displacement on a 50 mm sphere # mcflirt returns rotation in radians # from Jonathan Power: #The conversion is simple...

def compute_fd(motpars): # compute absolute displacement

dmotpars=N.zeros(motpars.shape) dmotpars[1:,:]=N.abs(motpars[1:,:] - motpars[:-1,:]) # convert rotation to displacement on a 50 mm sphere # mcflirt returns rotation in radians # from Jonathan Power: #The conversion is simple - you just want the length of an arc that a rotational # ...

#!/usr/bin/env python """ implement the frame displacement measure described by Power et al. (2011) """ import numpy as N import os,sys # load the datafile def compute_fd(motpars): # compute absolute displacement

52

65

219

13

38

poldrack/poldracklab-base

fmri/compute_fd.py

Python

compute_fd

11

33

11

13

ca9f410690108e05bbe1917a1a3ab0eb89347349

bigcode/the-stack

train

c430e48d2db17e83abf46f0b

train

function

def download_centos_package(package): logging.info("Searching for CentOS package '%s'", package) # "Enterprise Linux' aka CentOS. # Current releases are available from mirror, historic from vault, # debuginfo from debuginfo. if 'debuginfo' in package: return try_download_from_url('http://deb...

def download_centos_package(package):

logging.info("Searching for CentOS package '%s'", package) # "Enterprise Linux' aka CentOS. # Current releases are available from mirror, historic from vault, # debuginfo from debuginfo. if 'debuginfo' in package: return try_download_from_url('http://debuginfo.centos.org/7/x86_64', ...

base_url + "/" + filename response = requests.get(url, stream=True) if response.status_code == 200: logging.info("Found at {}".format(url)) with open(filename, 'wb') as rpm_file: response.raw.decode_content = True shutil.copyfileobj(response.raw, rpm_file) re...

82

276

7

74

rohansuri/kv_engine

scripts/sync_rpms.py

Python

download_centos_package

66

88

66

259caa8b625a5b8279f5549ae09a25e3f018f5b8

bigcode/the-stack

train

78c0f2c1b2c89087e86deefc

train

function

def download_couchbase_package(package): logging.info("Searching for Couchbase package '%s'", package) # GA'd versions available from packages.couchbase.com, pre-release from # latestbuilds (requires VPN). (name, version, build_arch) = package.rsplit('-', 2) (build, arch) = build_arch.split('.') ...

def download_couchbase_package(package):

logging.info("Searching for Couchbase package '%s'", package) # GA'd versions available from packages.couchbase.com, pre-release from # latestbuilds (requires VPN). (name, version, build_arch) = package.rsplit('-', 2) (build, arch) = build_arch.split('.') version_to_dir = {'7.0.0': 'http://lates...

_64/Packages', 'updates/x86_64/Packages') for host, versions in repos.iteritems(): for version in versions: for subdir in subdirs: base_url = host + '/' + version + '/' + subdir filename = try_download_from_url(base_url, package) if filename: ...

84

281

8

75

rohansuri/kv_engine

scripts/sync_rpms.py

Python

download_couchbase_package

91

112

91

475b38191fc15836ee7158e5fa6bc535dec11261

bigcode/the-stack

train

8abd1530233eaac13d3ff08e

train

function

def try_download_from_url(base_url, package): filename = package + ".rpm" if os.path.isfile(filename): print(("Skipping download of {} as file already " + "exists.").format(filename), file=sys.stderr) return filename url = base_url + "/" + filename response = requests.get(...

def try_download_from_url(base_url, package):

filename = package + ".rpm" if os.path.isfile(filename): print(("Skipping download of {} as file already " + "exists.").format(filename), file=sys.stderr) return filename url = base_url + "/" + filename response = requests.get(url, stream=True) if response.status_code ...

it was downloaded to. Returns None if package could not be located. """ if '.el' in package: return download_centos_package(package) if package.startswith('couchbase-server'): return download_couchbase_package(package) def try_download_from_url(base_url, package):

64

131

10

54

rohansuri/kv_engine

scripts/sync_rpms.py

Python

try_download_from_url

49

63

49

77b76c7d76477f9e09cea5c44fe7e1117e95cd42

bigcode/the-stack

train

f7089a6f896b926e43ba3dec

train

function

def download_package(package): """Given a package name+version string, attempt to locate the file from the appropriate package repository; downloads it and returns the name of the local file it was downloaded to. Returns None if package could not be located. """ if '.el' in package: re...

def download_package(package):

"""Given a package name+version string, attempt to locate the file from the appropriate package repository; downloads it and returns the name of the local file it was downloaded to. Returns None if package could not be located. """ if '.el' in package: return download_centos_package(pa...

Config(level=logging.INFO) logging.getLogger('urllib3').setLevel(logging.ERROR) def is_package_installed(package): with open(os.devnull, 'w') as devnull: return subprocess.call(["rpm", "-q", package], stdout=devnull) == 0 def download_package(package):

64

94

5

58

rohansuri/kv_engine

scripts/sync_rpms.py

Python

download_package

36

46

36

a79ca3b8574b6731678d7b8cd38808c3d8228327

bigcode/the-stack

train

97980c671b6c55cd14cef7f4

train

function

def install_packages(packages): subprocess.check_call(["rpm", "-Uvh", "--oldpackage"] + packages)

def install_packages(packages):

subprocess.check_call(["rpm", "-Uvh", "--oldpackage"] + packages)

_to_file[name] # Insert the distribution name # TODO: derive this from current system filename = (name + '-' + version + '-' + build + '-centos7.' + arch) return try_download_from_url(base_url, filename) return None def install_packages(packages):

64

24

6

57

rohansuri/kv_engine

scripts/sync_rpms.py

Python

install_packages

115

116

115

5a70337003d2f243ad619e7fee70c1d0a1392774

bigcode/the-stack

train

428349debb8d2eaba031a644

train

function

def is_package_installed(package): with open(os.devnull, 'w') as devnull: return subprocess.call(["rpm", "-q", package], stdout=devnull) == 0

def is_package_installed(package):

with open(os.devnull, 'w') as devnull: return subprocess.call(["rpm", "-q", package], stdout=devnull) == 0

./sync_rpms.py """ from __future__ import print_function import fileinput import logging import os import requests import shutil import subprocess import sys logging.basicConfig(level=logging.INFO) logging.getLogger('urllib3').setLevel(logging.ERROR) def is_package_installed(package):

64

42

7

57

rohansuri/kv_engine

scripts/sync_rpms.py

Python

is_package_installed

31

33

31

9172138affde06027378d5d7068cdffb5e902808

bigcode/the-stack

train

32120beb7b6877d4594b2714

train

class

class V1alpha1VolumeAttachment(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribu...

class V1alpha1VolumeAttachment(object):

"""NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The...

# coding: utf-8 """ Kubernetes No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: release-1.17 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import si...

99

256

1,698

9

89

carloscastrojumo/python

kubernetes/client/models/v1alpha1_volume_attachment.py

Python

V1alpha1VolumeAttachment

21

229

21

a164070d21770cc3c9abaf23016e10a7ccb1a2d0

bigcode/the-stack

train

9c6e980cdc1373d15de47484

train

function

def diff(arr1, arr2): arr1 = normalize(arr1) arr2 = normalize(arr2) distance = arr1 - arr2 return np.max(np.sum(np.square(distance).reshape(arr1.shape[0], -1), axis=1))

def diff(arr1, arr2):

arr1 = normalize(arr1) arr2 = normalize(arr2) distance = arr1 - arr2 return np.max(np.sum(np.square(distance).reshape(arr1.shape[0], -1), axis=1))

net50_weights_tf_dim_ordering_tf_kernels.h5") prediction.loadModel() BASE_IMAGE = np.asarray(Image.open("car.jpg")) def normalize(arr): rng = arr.max()-arr.min() amin = arr.min() return (arr-amin)/rng def diff(arr1, arr2):

64

57

8

55

mihaid-b/CyberSakura

Gathered CTF writeups/2019-12-01-ctfzone-quals/classifier9000/server.py

Python

diff

24

28

24

04afa79f56e428f90e49228ad7e80b59490f27ee

bigcode/the-stack

train

9fda42d69e9038883f69dc3f

train

function

def normalize(arr): rng = arr.max()-arr.min() amin = arr.min() return (arr-amin)/rng

def normalize(arr):

rng = arr.max()-arr.min() amin = arr.min() return (arr-amin)/rng

Heard that these kind of models are vulnerable to adversarial attacks prediction = ImagePrediction() prediction.setModelTypeAsResNet() prediction.setModelPath("resnet50_weights_tf_dim_ordering_tf_kernels.h5") prediction.loadModel() BASE_IMAGE = np.asarray(Image.open("car.jpg")) def normalize(arr):

64

28

4

60

mihaid-b/CyberSakura

Gathered CTF writeups/2019-12-01-ctfzone-quals/classifier9000/server.py

Python

normalize

18

21

18

33d994d3f4ebaabeadd9e72b3662c2b3f4bf1864

bigcode/the-stack

train

fcec7d8dd89ee6cb9d364a65

train

function

@app.route('/task/upload/', methods=['POST',]) def hello_world(): answer = { "status": "fail to recognize image" } if request.method == 'POST': f = request.files['file'] I = np.asarray(Image.open(f)) if I.shape != (224,224, 3): return redirect(os.getenv("base_url"...

@app.route('/task/upload/', methods=['POST',]) def hello_world():

answer = { "status": "fail to recognize image" } if request.method == 'POST': f = request.files['file'] I = np.asarray(Image.open(f)) if I.shape != (224,224, 3): return redirect(os.getenv("base_url", "http://0.0.0.0:8000") + "/fail.html") if diff(I, BASE_I...

arr2): arr1 = normalize(arr1) arr2 = normalize(arr2) distance = arr1 - arr2 return np.max(np.sum(np.square(distance).reshape(arr1.shape[0], -1), axis=1)) @app.route('/task/upload/', methods=['POST',]) def hello_world():

67

68

229

15

52

mihaid-b/CyberSakura

Gathered CTF writeups/2019-12-01-ctfzone-quals/classifier9000/server.py

Python

hello_world

32

48

32

33

8ee416f5f5e7c5bdfe75b03a12e73119e29f1beb

bigcode/the-stack

train

15e4ac96a50bdeab90df2f9f

train

class

class Tests(unittest.TestCase): def writeFile(self, path, fileName, content): handle = open(os.path.join(path, fileName), mode="w", encoding="utf-8") handle.write(content) handle.close() def readFile(self, path, fileName): return open(os.path.join(path, fileName), mode="r", enc...

class Tests(unittest.TestCase):

def writeFile(self, path, fileName, content): handle = open(os.path.join(path, fileName), mode="w", encoding="utf-8") handle.write(content) handle.close() def readFile(self, path, fileName): return open(os.path.join(path, fileName), mode="r", encoding="utf-8").read() def cr...

#!/usr/bin/env python3 import sys, os, unittest, logging, tempfile # Extend PYTHONPATH with local 'lib' folder jasyroot = os.path.normpath(os.path.join(os.path.abspath(sys.argv[0]), os.pardir, os.pardir, os.pardir)) sys.path.insert(0, jasyroot) import jasy.core.Project as Project import jasy.core.Session as Session ...

96

256

1,230

6

89

zynga/jasy

jasy/test/requirements.py

Python

Tests

13

166

13

14

1c75cb15fc15d9d78df0790073395faaa849ef6b

bigcode/the-stack

train

ef57d842aae8f99d4a82e6e7

train

function

def uncertainty_estimate(values): """ Creates an estimate for the uncertainty to apply to each value base on the separation of the entries that make up the distribution. This is used in cases where no uncertainty was described in the measurements, but the measurement population is fairly large, so t...

def uncertainty_estimate(values):

""" Creates an estimate for the uncertainty to apply to each value base on the separation of the entries that make up the distribution. This is used in cases where no uncertainty was described in the measurements, but the measurement population is fairly large, so that the quantization of the me...

, 'mstats.ValueUncertainty', float], float] many: typing.Callable[[float, np.array, np.array], np.array] GAUSSIAN_KERNEL = Kernel( single=gaussians.gaussian, many=gaussians.gaussian_many ) def uncertainty_estimate(values):

64

191

6

58

sernst/RefinedStatistics

measurement_stats/distributions/kernels/__init__.py

Python

uncertainty_estimate

22

46

22

bed0dd2c27ec661e9d73373fefa35c05dbe05c0c

bigcode/the-stack

train

459badac9ff31b78cfce2a8d

train

class

class Kernel(typing.NamedTuple): """Data structure for Kernel objects.""" single: typing.Callable[[float, 'mstats.ValueUncertainty', float], float] many: typing.Callable[[float, np.array, np.array], np.array]

class Kernel(typing.NamedTuple):

"""Data structure for Kernel objects.""" single: typing.Callable[[float, 'mstats.ValueUncertainty', float], float] many: typing.Callable[[float, np.array, np.array], np.array]

import typing import numpy as np import measurement_stats as mstats from measurement_stats.distributions.kernels import gaussians class Kernel(typing.NamedTuple):

34

64

53

7

26

sernst/RefinedStatistics

measurement_stats/distributions/kernels/__init__.py

Python

Kernel

9

13

9

7727c04aeefa1725fda588c48a27407ba2c00c2e

bigcode/the-stack

train

32810fd837e038aedfc4b34f

train

class

class ProbClassificationPerformanceAnalyzer(Analyzer): def calculate(self, reference_data: pd.DataFrame, current_data: pd.DataFrame, column_mapping): columns = process_columns(reference_data, column_mapping) result = columns.as_dict() target_column = columns.utility_columns.target p...

class ProbClassificationPerformanceAnalyzer(Analyzer):

def calculate(self, reference_data: pd.DataFrame, current_data: pd.DataFrame, column_mapping): columns = process_columns(reference_data, column_mapping) result = columns.as_dict() target_column = columns.utility_columns.target prediction_column = columns.utility_columns.prediction ...

#!/usr/bin/env python # coding: utf-8 import pandas as pd import numpy as np from sklearn import metrics, preprocessing from evidently.analyzers.base_analyzer import Analyzer from .utils import process_columns class ProbClassificationPerformanceAnalyzer(Analyzer):

56

256

3,112

8

47

jim-fun/evidently

evidently/analyzers/prob_classification_performance_analyzer.py

Python

ProbClassificationPerformanceAnalyzer

12

276

12

d78ae6c8537896a89a6832eff5ef8c53373ea94d

bigcode/the-stack

train

85afe3e6b40ccb85c5cf507f

train

class

class SigninForm(BaseForm): telephone = StringField(validators=[Regexp(r"1[345789]\d{9}", message="请输入正确格式的手机号码")]) password = StringField(validators=[Regexp(r"[0-9a-zA-Z_\.]{6,20}", message="请输入正确格式的密码")]) # 记住我这个input不需要验证 remember = StringField()

class SigninForm(BaseForm):

telephone = StringField(validators=[Regexp(r"1[345789]\d{9}", message="请输入正确格式的手机号码")]) password = StringField(validators=[Regexp(r"[0-9a-zA-Z_\.]{6,20}", message="请输入正确格式的密码")]) # 记住我这个input不需要验证 remember = StringField()

= StringField(validators=[Regexp(r"[0-9a-zA-Z_\.]{6,20}", message="请输入正确格式的密码")]) password2 = StringField(validators=[EqualTo("password1", message="两次输入的密码不一致")]) class SigninForm(BaseForm):

64

88

7

57

zy0851/get-news

aminute/apps/front/forms.py

Python

SigninForm

30

34

30

c8fd6c47bccbfbcb9f0a16169c9720dc4ffe4567

bigcode/the-stack

train

c20281066ffb06f292d2c646

train

class

class SignupForm(BaseForm): telephone = StringField(validators=[Regexp(r"1[345789]\d{9}", message="请输入正确格式的手机号码")]) username = StringField(validators=[Regexp(r".{2,20}", message="请输入正确格式的用户名")]) password1 = StringField(validators=[Regexp(r"[0-9a-zA-Z_\.]{6,20}", message="请输入正确格式的密码")]) password2 = StringField(valid...

class SignupForm(BaseForm):

telephone = StringField(validators=[Regexp(r"1[345789]\d{9}", message="请输入正确格式的手机号码")]) username = StringField(validators=[Regexp(r".{2,20}", message="请输入正确格式的用户名")]) password1 = StringField(validators=[Regexp(r"[0-9a-zA-Z_\.]{6,20}", message="请输入正确格式的密码")]) password2 = StringField(validators=[EqualTo("password1", ...

forms.py @time: 2018/7/24 20:53 @description：TODO """ from ..forms import BaseForm from wtforms import StringField, ValidationError, IntegerField from wtforms.validators import Regexp, EqualTo, InputRequired class SignupForm(BaseForm):

64

119

6

57

zy0851/get-news

aminute/apps/front/forms.py

Python

SignupForm

23

27

23

e36f735ee1c6bfad22e96a04cef1085d7e83eff0

bigcode/the-stack

train

5968e8f9f23d622c32d5d640

train

class

class ChainReader(object): """Base class for reading chains files.""" def __init__(self, root): self.root = root def paramnames(self): """Parameter names mapping.""" return None, {} def limits(self): """Parameter limits mapping.""" return {} def samples(se...

class ChainReader(object):

"""Base class for reading chains files.""" def __init__(self, root): self.root = root def paramnames(self): """Parameter names mapping.""" return None, {} def limits(self): """Parameter limits mapping.""" return {} def samples(self): """Read sample...

"""Tools for reading from chains files.""" class ChainReader(object):

13

64

78

5

8

EthanCarragher/anesthetic

anesthetic/read/chainreader.py

Python

ChainReader

4

20

4

c383e1a585d6fff23589fcde9511724170b4e466

bigcode/the-stack

train