uid stringlengths 24 24 | split stringclasses 1
value | category stringclasses 2
values | content stringlengths 5 482k | signature stringlengths 1 14k | suffix stringlengths 1 482k | prefix stringlengths 9 14k | prefix_token_count int64 3 5.01k | prefix_token_budget int64 64 256 | element_token_count int64 1 292k | signature_token_count int64 1 5.01k | prefix_context_token_count int64 0 255 | repo stringlengths 7 112 | path stringlengths 4 208 | language stringclasses 1
value | name stringlengths 1 218 | qualname stringlengths 1 218 | start_line int64 1 26.7k | end_line int64 1 26.7k | signature_start_line int64 1 26.7k | signature_end_line int64 1 26.7k | source_hash stringlengths 40 40 | source_dataset stringclasses 1
value | source_split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a9dedf17f390047e121a6101 | train | class | class HomeView(ListView):
template_name = "store/home.html"
queryset = Product.objects.all()
| class HomeView(ListView):
| template_name = "store/home.html"
queryset = Product.objects.all()
| View, FormView, View, RedirectView, CreateView
import stripe
from .models import Product, Category, WishlistItem, Order, OrderItem, ShippingInformation, Review
from .cart import Cart
from .forms import ShippingInformationForm, CheckoutForm, ProductReviewForm
class HomeView(ListView):
| 64 | 64 | 21 | 6 | 57 | rafaellima47/django-ecommerce | store/views.py | Python | HomeView | HomeView | 18 | 20 | 18 | 18 | 2b6792abae7d7d41c76a3d3749461ff8dc4257ee | bigcode/the-stack | train |
92be114e4a8e175e5e6f0a67 | train | class | class AccountPageView(LoginRequiredMixin ,TemplateView):
template_name = "store/account.html"
| class AccountPageView(LoginRequiredMixin ,TemplateView):
| template_name = "store/account.html"
| cancel_url=f"http://localhost:8000/",
)
return HttpResponseRedirect(checkout_session.url)
class OrdersHistory(ListView):
template_name = "store/history.html"
def get_queryset(self):
return Order.objects.filter(customer=self.request.user)
class AccountPageView(LoginRequiredMixin ,TemplateView):
| 64 | 64 | 19 | 11 | 53 | rafaellima47/django-ecommerce | store/views.py | Python | AccountPageView | AccountPageView | 132 | 133 | 132 | 132 | 79dad1edfe3d817add317efb2da8603690faa280 | bigcode/the-stack | train |
38a20db17cbfbc0a55df18ab | train | function | @require_POST
def cart_add(request, pk):
quantity = 1
override_quantity = False
if request.POST.get("quantity"):
quantity = int(request.POST["quantity"])
override_quantity = True
cart = Cart(request)
cart.add(pk, quantity, override_quantity)
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))... | @require_POST
def cart_add(request, pk):
| quantity = 1
override_quantity = False
if request.POST.get("quantity"):
quantity = int(request.POST["quantity"])
override_quantity = True
cart = Cart(request)
cart.add(pk, quantity, override_quantity)
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))
| .get(customer=customer, product=product)
item.delete()
except WishlistItem.DoesNotExist:
item = WishlistItem(customer=customer, product=product)
item.save()
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))
@require_POST
def cart_add(request, pk):
| 63 | 64 | 76 | 11 | 52 | rafaellima47/django-ecommerce | store/views.py | Python | cart_add | cart_add | 199 | 210 | 199 | 200 | 5ffe9a2996780e6002f696dbc2327ed1247f955f | bigcode/the-stack | train |
3785a8b59aa04544bd1925e9 | train | function | @require_POST
def cart_delete(request, pk):
cart = Cart(request)
cart.delete(pk)
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))
| @require_POST
def cart_delete(request, pk):
| cart = Cart(request)
cart.delete(pk)
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))
| .POST.get("quantity"):
quantity = int(request.POST["quantity"])
override_quantity = True
cart = Cart(request)
cart.add(pk, quantity, override_quantity)
return HttpResponseRedirect(request.META.get('HTTP_REFERER', '/'))
@require_POST
def cart_delete(request, pk):
| 63 | 64 | 37 | 11 | 52 | rafaellima47/django-ecommerce | store/views.py | Python | cart_delete | cart_delete | 213 | 217 | 213 | 214 | d194bec07993b6a09eb0d30c057ec9e9cf7cc144 | bigcode/the-stack | train |
c2574efaddb2a1224dc08fb4 | train | class | class RackUnitPersonalityConsts:
pass
| class RackUnitPersonalityConsts:
| pass
| """This module contains the general information for RackUnitPersonality ManagedObject."""
from ...imcmo import ManagedObject
from ...imccoremeta import MoPropertyMeta, MoMeta
from ...imcmeta import VersionMeta
class RackUnitPersonalityConsts:
| 54 | 64 | 10 | 7 | 46 | ecoen66/imcsdk | imcsdk/mometa/rack/RackUnitPersonality.py | Python | RackUnitPersonalityConsts | RackUnitPersonalityConsts | 8 | 9 | 8 | 8 | 24ea2ceb26f634680c5ad92f359407894a336ffa | bigcode/the-stack | train |
d9c778403d4a9bc6649fc9ef | train | class | class RackUnitPersonality(ManagedObject):
"""This is RackUnitPersonality class."""
consts = RackUnitPersonalityConsts()
naming_props = set(['id'])
mo_meta = {
"classic": MoMeta("RackUnitPersonality", "rackUnitPersonality", "personality-[id]", VersionMeta.Version421a, "InputOutput", 0x7f, [], [... | class RackUnitPersonality(ManagedObject):
| """This is RackUnitPersonality class."""
consts = RackUnitPersonalityConsts()
naming_props = set(['id'])
mo_meta = {
"classic": MoMeta("RackUnitPersonality", "rackUnitPersonality", "personality-[id]", VersionMeta.Version421a, "InputOutput", 0x7f, [], ["admin", "read-only", "user"], ['computeRa... | """This module contains the general information for RackUnitPersonality ManagedObject."""
from ...imcmo import ManagedObject
from ...imccoremeta import MoPropertyMeta, MoMeta
from ...imcmeta import VersionMeta
class RackUnitPersonalityConsts:
pass
class RackUnitPersonality(ManagedObject):
| 66 | 161 | 538 | 9 | 56 | ecoen66/imcsdk | imcsdk/mometa/rack/RackUnitPersonality.py | Python | RackUnitPersonality | RackUnitPersonality | 12 | 56 | 12 | 12 | c388ece62bfe5547e769845ee3ddfc389a6e1f94 | bigcode/the-stack | train |
83cfd29c1b6639c3855dfe11 | train | function | def score(data):
score=True
## Calification rules
max_border_1 = 360 # Max threshold for valid point
min_border_1 = 0 # Min threshold for valid point
max_border_2 = 90 # Max threshold for valid point
min_border_2 = 0 # Min threshold for valid point
... | def score(data):
| score=True
## Calification rules
max_border_1 = 360 # Max threshold for valid point
min_border_1 = 0 # Min threshold for valid point
max_border_2 = 90 # Max threshold for valid point
min_border_2 = 0 # Min threshold for valid point
min_threshold_1 =... | import pandas as pd
import numpy as np
import math
from scipy.signal import argrelextrema
#1. brazos
#2. piernas
def score(data):
| 37 | 256 | 3,372 | 4 | 32 | josemusso/DEKR | lib/modules/ex_score/dinamicos/D_BJ.py | Python | score | score | 9 | 323 | 9 | 10 | b5e174c04b4c502848f5cee34ecc98adb2b23dde | bigcode/the-stack | train |
82fb3ec71b9247b592caa240 | train | class | class Logger:
"""
@brief Class for logger.
@example :
l = Logger()
l.log("this is msg", "{this_is_data}")
l.info("this is msg", "{this_is_data}")
l.error("this is msg", "{this_is_data}")
l.warn(data="{this_is_data}")
l.success("this is msg")
"""
def __init__(self):
pass
def _printLogDict(sel... | class Logger:
| """
@brief Class for logger.
@example :
l = Logger()
l.log("this is msg", "{this_is_data}")
l.info("this is msg", "{this_is_data}")
l.error("this is msg", "{this_is_data}")
l.warn(data="{this_is_data}")
l.success("this is msg")
"""
def __init__(self):
pass
def _printLogDict(self, logDict):
... | import datetime
class Logger:
| 6 | 108 | 361 | 3 | 2 | Himanshu-Mishr/up-for-grab | src/logger.py | Python | Logger | Logger | 3 | 51 | 3 | 3 | 41d51f9d0da14ccd5cfd3214d0d0765a7f6cdd91 | bigcode/the-stack | train |
399a4791dcb60b191a117548 | train | function | def wsg_50_description_mesh_files():
return [
"wsg_50_description/meshes/finger_without_tip.obj",
"wsg_50_description/meshes/finger_with_tip.obj",
"wsg_50_description/meshes/wsg_body.obj",
]
| def wsg_50_description_mesh_files():
| return [
"wsg_50_description/meshes/finger_without_tip.obj",
"wsg_50_description/meshes/finger_with_tip.obj",
"wsg_50_description/meshes/wsg_body.obj",
]
| /skydio_2_1000_poly.mtl",
"skydio_2/skydio_2_1000_poly.obj",
"skydio_2/skydio_2.png",
"skydio_2/LICENSE",
]
def wsg_50_description_mesh_files():
| 64 | 64 | 61 | 9 | 55 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | wsg_50_description_mesh_files | wsg_50_description_mesh_files | 66 | 71 | 66 | 66 | a5d5def7cb563792e21e97f1cb230f0bc2ab694c | bigcode/the-stack | train |
55782eff5e5915d0d175373d | train | function | def franka_description_mesh_files():
return [
"franka_description/LICENSE",
"franka_description/meshes/visual/finger.mtl",
"franka_description/meshes/visual/finger.obj",
"franka_description/meshes/visual/hand.mtl",
"franka_description/meshes/visual/hand.obj",
"franka_... | def franka_description_mesh_files():
| return [
"franka_description/LICENSE",
"franka_description/meshes/visual/finger.mtl",
"franka_description/meshes/visual/finger.obj",
"franka_description/meshes/visual/hand.mtl",
"franka_description/meshes/visual/hand.obj",
"franka_description/meshes/visual/link0.mtl",... | # -*- python -*-
# Keep the macros sorted alphabetically by macro name.
# Keep the lists of files sorted alphabetically by filename.
def dishes_files():
return [
"dishes/bowls/evo_bowl_no_mtl.obj",
]
def franka_description_mesh_files():
| 59 | 92 | 309 | 7 | 52 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | franka_description_mesh_files | franka_description_mesh_files | 11 | 34 | 11 | 11 | 1d62ea32612cfd4643d4557b8142e1a67332da52 | bigcode/the-stack | train |
9f69c38662e256e699520f1c | train | function | def dishes_files():
return [
"dishes/bowls/evo_bowl_no_mtl.obj",
]
| def dishes_files():
| return [
"dishes/bowls/evo_bowl_no_mtl.obj",
]
| # -*- python -*-
# Keep the macros sorted alphabetically by macro name.
# Keep the lists of files sorted alphabetically by filename.
def dishes_files():
| 31 | 64 | 25 | 4 | 27 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | dishes_files | dishes_files | 6 | 9 | 6 | 6 | d16161c9fd74683e073a2e0580d80e3bad236804 | bigcode/the-stack | train |
d77616841d7fea290b69edf2 | train | function | def ycb_mesh_files():
"""Manual enumeration of mesh files, to avoid needing to write extra Bazel
logic.
Recipe to reproduce:
$ cd models
$ find ycb/meshes -type f | \
python3 -c 'import sys; print(repr(sys.stdin.read().split()))'
"""
return [
"ycb/meshes/003_crac... | def ycb_mesh_files():
| """Manual enumeration of mesh files, to avoid needing to write extra Bazel
logic.
Recipe to reproduce:
$ cd models
$ find ycb/meshes -type f | \
python3 -c 'import sys; print(repr(sys.stdin.read().split()))'
"""
return [
"ycb/meshes/003_cracker_box_textured.mtl",... | io_2_1000_poly.mtl",
"skydio_2/skydio_2_1000_poly.obj",
"skydio_2/skydio_2.png",
"skydio_2/LICENSE",
]
def wsg_50_description_mesh_files():
return [
"wsg_50_description/meshes/finger_without_tip.obj",
"wsg_50_description/meshes/finger_with_tip.obj",
"wsg_50_descr... | 120 | 120 | 403 | 6 | 114 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | ycb_mesh_files | ycb_mesh_files | 73 | 102 | 73 | 73 | 91af582ed702ef969e0c4a8db57c4f2517b1661b | bigcode/the-stack | train |
b9e72af2392b07ff629a011c | train | function | def skydio_2_mesh_files():
return [
"skydio_2/skydio_2_1000_poly.mtl",
"skydio_2/skydio_2_1000_poly.obj",
"skydio_2/skydio_2.png",
"skydio_2/LICENSE",
]
| def skydio_2_mesh_files():
| return [
"skydio_2/skydio_2_1000_poly.mtl",
"skydio_2/skydio_2_1000_poly.obj",
"skydio_2/skydio_2.png",
"skydio_2/LICENSE",
]
| _description/meshes/shoulder.obj",
"jaco_description/meshes/wrist.obj",
"jaco_description/meshes/wrist_spherical_1.obj",
"jaco_description/meshes/wrist_spherical_2.obj",
]
def skydio_2_mesh_files():
| 64 | 64 | 74 | 9 | 55 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | skydio_2_mesh_files | skydio_2_mesh_files | 58 | 64 | 58 | 58 | f19e5ea8a0870e9dde035c0e0094f22528d7d34a | bigcode/the-stack | train |
cd950610060be7eb10da352b | train | function | def jaco_description_mesh_files():
return [
"jaco_description/LICENSE",
"jaco_description/meshes/arm.obj",
"jaco_description/meshes/arm_half_1.obj",
"jaco_description/meshes/arm_half_2.obj",
"jaco_description/meshes/arm_mico.obj",
"jaco_description/meshes/base.obj",
... | def jaco_description_mesh_files():
| return [
"jaco_description/LICENSE",
"jaco_description/meshes/arm.obj",
"jaco_description/meshes/arm_half_1.obj",
"jaco_description/meshes/arm_half_2.obj",
"jaco_description/meshes/arm_mico.obj",
"jaco_description/meshes/base.obj",
"jaco_description/meshes/fin... | /meshes/visual/link5.obj",
"franka_description/meshes/visual/link6.mtl",
"franka_description/meshes/visual/link6.obj",
"franka_description/meshes/visual/link7.mtl",
"franka_description/meshes/visual/link7.obj",
]
def jaco_description_mesh_files():
| 76 | 76 | 256 | 7 | 69 | RobotLocomotion/drake-python3.7 | tools/workspace/models/files.bzl | Python | jaco_description_mesh_files | jaco_description_mesh_files | 36 | 56 | 36 | 36 | b9d2c9f21be857c017e234e789c262c7b8fdfeba | bigcode/the-stack | train |
d089f917c04e0cfd6a13c354 | train | function | def traverse(stepsToTake):
x, y = 0, 0
noSteps = 0
for line in stepsToTake:
for x, y in steps(line, x, y):
noSteps += 1
yield x, y, noSteps
| def traverse(stepsToTake):
| x, y = 0, 0
noSteps = 0
for line in stepsToTake:
for x, y in steps(line, x, y):
noSteps += 1
yield x, y, noSteps
| 'L':(-1, 0), 'R':(1, 0)}[s[0]]
for i in range(int(s[1:])):
x, y = x + d[0], y + d[1]
yield x, y
def traverse(stepsToTake):
| 64 | 64 | 62 | 7 | 56 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | traverse | traverse | 23 | 29 | 23 | 23 | f842edc64e8c6ca2b6dc9d201a0bc0362f0a0a37 | bigcode/the-stack | train |
c64bcfc887780252c0495fb7 | train | function | def part1(pinp):
trace1 = traceFirst(pinp[0][0])
return findCollisions(trace1, pinp[1][0], distanceToStart)
| def part1(pinp):
| trace1 = traceFirst(pinp[0][0])
return findCollisions(trace1, pinp[1][0], distanceToStart)
| ToTake, distFunc):
dists = set()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) in trace:
dists.add(distFunc(trace, x, y, stepCount))
return min(dists)
def part1(pinp):
| 64 | 64 | 38 | 6 | 58 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | part1 | part1 | 51 | 53 | 51 | 51 | 1439dd34e1c3abef34405b88eb2a4e1f684e23a9 | bigcode/the-stack | train |
f2cf3ecf5847e8498f683cf0 | train | function | def fileParse(inp, f=lineParse, ff=lambda x:x, fp=re.compile(r"^(.*)$")):
return tuple(map(lambda x:f(x, ff, fp), inp.splitlines()))
| def fileParse(inp, f=lineParse, ff=lambda x:x, fp=re.compile(r"^(.*)$")):
| return tuple(map(lambda x:f(x, ff, fp), inp.splitlines()))
| Input
import re
def lineParse(s, f, fp):
m = fp.match(s)
if m==None:
raise s
return tuple(map(f, m.groups()))
def fileParse(inp, f=lineParse, ff=lambda x:x, fp=re.compile(r"^(.*)$")):
| 64 | 64 | 41 | 24 | 40 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | fileParse | fileParse | 12 | 13 | 12 | 12 | 6053c068fd39bb30075b3355ccfc1f58793e95e0 | bigcode/the-stack | train |
5556fd7787f8ce25236e88ac | train | function | def distanceToStart(dist, x, y, noSteps):
return abs(x)+abs(y)
| def distanceToStart(dist, x, y, noSteps):
| return abs(x)+abs(y)
| First(stepsToTake):
d = dict()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) not in d:
d[x, y] = stepCount
return d
def distanceToStart(dist, x, y, noSteps):
| 64 | 64 | 21 | 13 | 50 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | distanceToStart | distanceToStart | 38 | 39 | 38 | 38 | 933532b3fd6d605b32ab0925c2963b9a50e1eb0a | bigcode/the-stack | train |
0bcff76f5dbed50ca1ddf943 | train | function | def part2(pinp):
trace1 = traceFirst(pinp[0][0])
return findCollisions(trace1, pinp[1][0], noOfStepsToStart)
| def part2(pinp):
| trace1 = traceFirst(pinp[0][0])
return findCollisions(trace1, pinp[1][0], noOfStepsToStart)
| dists.add(distFunc(trace, x, y, stepCount))
return min(dists)
def part1(pinp):
trace1 = traceFirst(pinp[0][0])
return findCollisions(trace1, pinp[1][0], distanceToStart)
def part2(pinp):
| 64 | 64 | 40 | 6 | 58 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | part2 | part2 | 55 | 57 | 55 | 55 | 19e1a2fe05b0a422680264bb55d512f91a956089 | bigcode/the-stack | train |
d331916d2fa63f1b94cbc818 | train | function | def traceFirst(stepsToTake):
d = dict()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) not in d:
d[x, y] = stepCount
return d
| def traceFirst(stepsToTake):
| d = dict()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) not in d:
d[x, y] = stepCount
return d
| ):
x, y = 0, 0
noSteps = 0
for line in stepsToTake:
for x, y in steps(line, x, y):
noSteps += 1
yield x, y, noSteps
def traceFirst(stepsToTake):
| 64 | 64 | 53 | 8 | 55 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | traceFirst | traceFirst | 31 | 36 | 31 | 31 | 255fd48f64435641f0a5b5759ccc8222a3d58bf4 | bigcode/the-stack | train |
96d03822fbc79b55307e3111 | train | function | def noOfStepsToStart(dist, x, y, noSteps):
return dist[x, y] + noSteps
| def noOfStepsToStart(dist, x, y, noSteps):
| return dist[x, y] + noSteps
| ToTake):
if (x, y) not in d:
d[x, y] = stepCount
return d
def distanceToStart(dist, x, y, noSteps):
return abs(x)+abs(y)
def noOfStepsToStart(dist, x, y, noSteps):
| 64 | 64 | 26 | 15 | 49 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | noOfStepsToStart | noOfStepsToStart | 41 | 42 | 41 | 41 | 7d2939244631e116fb50801fd1010aa86abd8ef7 | bigcode/the-stack | train |
541f942a468426ec4fa74712 | train | function | def lineParse(s, f, fp):
m = fp.match(s)
if m==None:
raise s
return tuple(map(f, m.groups()))
| def lineParse(s, f, fp):
| m = fp.match(s)
if m==None:
raise s
return tuple(map(f, m.groups()))
| ## Start of header boilerplate #################################################
from aocbase import readInput
import re
def lineParse(s, f, fp):
| 28 | 64 | 35 | 9 | 18 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | lineParse | lineParse | 6 | 10 | 6 | 6 | 8ac2e48af301506f2c09b8143fc179bf393e88ee | bigcode/the-stack | train |
f16e6f6f59775423aa86e321 | train | function | def steps(s, x, y):
d = {'U':(0, 1), 'D':(0, -1), 'L':(-1, 0), 'R':(1, 0)}[s[0]]
for i in range(int(s[1:])):
x, y = x + d[0], y + d[1]
yield x, y
| def steps(s, x, y):
| d = {'U':(0, 1), 'D':(0, -1), 'L':(-1, 0), 'R':(1, 0)}[s[0]]
for i in range(int(s[1:])):
x, y = x + d[0], y + d[1]
yield x, y
| tuple(map(f, m.groups()))
def fileParse(inp, f=lineParse, ff=lambda x:x, fp=re.compile(r"^(.*)$")):
return tuple(map(lambda x:f(x, ff, fp), inp.splitlines()))
## End of header boilerplate ###################################################
def steps(s, x, y):
| 64 | 64 | 86 | 8 | 56 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | steps | steps | 17 | 21 | 17 | 17 | f9964654432d003b9102e4a1e3e3643fce2d4b37 | bigcode/the-stack | train |
fdeb9659c3834328055e24ac | train | function | def findCollisions(trace, stepsToTake, distFunc):
dists = set()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) in trace:
dists.add(distFunc(trace, x, y, stepCount))
return min(dists)
| def findCollisions(trace, stepsToTake, distFunc):
| dists = set()
for x, y, stepCount in traverse(stepsToTake):
if (x, y) in trace:
dists.add(distFunc(trace, x, y, stepCount))
return min(dists)
| return d
def distanceToStart(dist, x, y, noSteps):
return abs(x)+abs(y)
def noOfStepsToStart(dist, x, y, noSteps):
return dist[x, y] + noSteps
def findCollisions(trace, stepsToTake, distFunc):
| 64 | 64 | 65 | 13 | 50 | joelfak/advent_of_code_2019 | Dyr-El-python/day03.py | Python | findCollisions | findCollisions | 44 | 49 | 44 | 44 | d7473fcd3d6f50fd956c1bb7e816ba07c342717c | bigcode/the-stack | train |
f06507cfbb6ea5f1a4445fd9 | train | class | @keras_export("keras.layers.experimental.preprocessing.IntegerLookup", v1=[])
class IntegerLookup(index_lookup.IndexLookup):
"""Reindex integer inputs to be in a contiguous range, via a dict lookup.
This layer maps a set of arbitrary integer input tokens into indexed
integer output via a table-based vocabulary l... | @keras_export("keras.layers.experimental.preprocessing.IntegerLookup", v1=[])
class IntegerLookup(index_lookup.IndexLookup):
| """Reindex integer inputs to be in a contiguous range, via a dict lookup.
This layer maps a set of arbitrary integer input tokens into indexed
integer output via a table-based vocabulary lookup. The layer's output indices
will be contiguously arranged up to the maximum vocab size, even if the input
tokens ar... | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 221 | 256 | 3,786 | 23 | 197 | phanvanthinh98/keras_LSTM | keras/layers/preprocessing/integer_lookup.py | Python | IntegerLookup | IntegerLookup | 25 | 334 | 25 | 26 | 5a5e315f3c961f08279bae826e0e951bb54667b8 | bigcode/the-stack | train |
3e885ca39990d64ec2271f62 | train | class | class Solution(object):
def canIWin(self, maxChoosableInteger, desiredTotal):
dp = dict()
def search(state, total):
for x in range(maxChoosableInteger, 0, -1):
if not state & (1 << (x - 1)):
if total + x >= desiredTotal:
dp[stat... | class Solution(object):
| def canIWin(self, maxChoosableInteger, desiredTotal):
dp = dict()
def search(state, total):
for x in range(maxChoosableInteger, 0, -1):
if not state & (1 << (x - 1)):
if total + x >= desiredTotal:
dp[state] = True
... | - nums[i]):
self.memo[key]= True
return True
self.memo[key] = False
return False
# this problem is not very good...
# sort of brutal force with memorization
# time complexity -- O(2^M)
# space complexity -- O(2^M)
class Solution(object):
| 69 | 69 | 233 | 4 | 65 | crazywiden/Leetcode_daily_submit | Widen/LC464_can_I_win.py | Python | Solution | Solution | 65 | 87 | 65 | 65 | f055e46cb1a2811254702ca41344b21980841e4d | bigcode/the-stack | train |
58b050ce0e50889b9a387f09 | train | class | class Solution(object):
def canIWin(self, maxChoosableInteger, desiredTotal):
"""
:type maxChoosableInteger: int
:type desiredTotal: int
:rtype: bool
"""
if (1 + maxChoosableInteger) * maxChoosableInteger/2 < desiredTotal:
return False
self.memo = ... | class Solution(object):
| def canIWin(self, maxChoosableInteger, desiredTotal):
"""
:type maxChoosableInteger: int
:type desiredTotal: int
:rtype: bool
"""
if (1 + maxChoosableInteger) * maxChoosableInteger/2 < desiredTotal:
return False
self.memo = {}
return self.h... | first player, the second player will always win.
"""
# Runtime: 868 ms, faster than 61.70% of Python online submissions for Can I Win.
# Memory Usage: 18.8 MB, less than 94.68% of Python online submissions for Can I Win.
class Solution(object):
| 64 | 64 | 201 | 4 | 60 | crazywiden/Leetcode_daily_submit | Widen/LC464_can_I_win.py | Python | Solution | Solution | 31 | 58 | 31 | 31 | 845ef60b9057d3f31310ef7b38bd4688e5e78cfd | bigcode/the-stack | train |
9e1238cbc4b42c8e20043ddc | train | class | class Metadata(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.
a... | class Metadata(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
"""
IONOS DBaaS REST API
An enterprise-grade Database is provided as a Service (DBaaS) solution that can be managed through a browser-based \"Data Center Designer\" (DCD) tool or via an easy to use API. The API allows you to create additional database clusters or modify existing ones. It is d... | 181 | 256 | 1,842 | 4 | 176 | ionos-cloud/sdk-python-dbaas-postgres | ionoscloud_dbaas_postgres/models/metadata.py | Python | Metadata | Metadata | 21 | 294 | 21 | 21 | aa6e2c43161e98e83297a067b67550123c881691 | bigcode/the-stack | train |
2c30553610eb94806903c7d8 | train | class | class TFFuncMapper(ProxyDataFlow):
def __init__(self, ds,
get_placeholders, symbf, apply_symbf_on_dp, device='/cpu:0'):
"""
:param get_placeholders: a function returning the placeholders
:param symbf: a symbolic function taking the placeholders
:param apply_symbf_on_... | class TFFuncMapper(ProxyDataFlow):
| def __init__(self, ds,
get_placeholders, symbf, apply_symbf_on_dp, device='/cpu:0'):
"""
:param get_placeholders: a function returning the placeholders
:param symbf: a symbolic function taking the placeholders
:param apply_symbf_on_dp: apply the above function to dat... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: tf_func.py
# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
import tensorflow as tf
from .base import ProxyDataFlow
""" This file was deprecated """
__all__ = []
class TFFuncMapper(ProxyDataFlow):
| 71 | 83 | 279 | 10 | 61 | neale/A4C | multilstm_tensorpack/tensorpack/dataflow/tf_func.py | Python | TFFuncMapper | TFFuncMapper | 15 | 47 | 15 | 15 | b3ac3d4980800142a1f5d61c5e16bee6300f7d85 | bigcode/the-stack | train |
d210485476fea750621aa69c | train | function | @ex.command
def get_lr_scheduler(optimizer, schedule_mode):
if schedule_mode in {"exp_lin", "cos_cyc"}:
return torch.optim.lr_scheduler.LambdaLR(optimizer, get_scheduler_lambda())
raise RuntimeError(f"schedule_mode={schedule_mode} Unknown.")
| @ex.command
def get_lr_scheduler(optimizer, schedule_mode):
| if schedule_mode in {"exp_lin", "cos_cyc"}:
return torch.optim.lr_scheduler.LambdaLR(optimizer, get_scheduler_lambda())
raise RuntimeError(f"schedule_mode={schedule_mode} Unknown.")
| _lr_value)
if schedule_mode == "cos_cyc":
return cosine_cycle(warm_up_len, ramp_down_start, last_lr_value)
raise RuntimeError(f"schedule_mode={schedule_mode} Unknown for a lambda funtion.")
@ex.command
def get_lr_scheduler(optimizer, schedule_mode):
| 63 | 64 | 59 | 14 | 49 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_lr_scheduler | get_lr_scheduler | 87 | 91 | 87 | 88 | 33af31bd1e293cf68a1cde332198de7b781e4174 | bigcode/the-stack | train |
ec6226a758aac1a7e42a8f8d | train | function | @ex.command
def get_optimizer(params, lr, adamw=True, weight_decay=0.0001):
if adamw:
print(f"\nUsing adamw weight_decay={weight_decay}!\n")
return torch.optim.AdamW(params, lr=lr, weight_decay=weight_decay)
return torch.optim.Adam(params, lr=lr)
| @ex.command
def get_optimizer(params, lr, adamw=True, weight_decay=0.0001):
| if adamw:
print(f"\nUsing adamw weight_decay={weight_decay}!\n")
return torch.optim.AdamW(params, lr=lr, weight_decay=weight_decay)
return torch.optim.Adam(params, lr=lr)
| {"exp_lin", "cos_cyc"}:
return torch.optim.lr_scheduler.LambdaLR(optimizer, get_scheduler_lambda())
raise RuntimeError(f"schedule_mode={schedule_mode} Unknown.")
@ex.command
def get_optimizer(params, lr, adamw=True, weight_decay=0.0001):
| 63 | 64 | 74 | 23 | 40 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_optimizer | get_optimizer | 94 | 99 | 94 | 95 | 7271f04e2a3a22f0ae807c5eb108d85ba637ec6a | bigcode/the-stack | train |
de231f3b6d7ef64154a80366 | train | function | @ex.command
def test_loaders():
'''
get one sample from each loader for debbuging
@return:
'''
for i, b in enumerate(ex.datasets.training.get_iter()):
print(b)
break
for i, b in enumerate(ex.datasets.test.get_iter()):
print(b)
break
| @ex.command
def test_loaders():
| '''
get one sample from each loader for debbuging
@return:
'''
for i, b in enumerate(ex.datasets.training.get_iter()):
print(b)
break
for i, b in enumerate(ex.datasets.test.get_iter()):
print(b)
break
|
print(f"\n\nValidation len={len(val_loader)}\n")
res = trainer.validate(modul, val_dataloaders=val_loader)
print("\n\n Validtaion:")
print(res)
print(modul.net.get_stats())
@ex.command
def test_loaders():
| 64 | 64 | 69 | 9 | 55 | JetRunner/PaSST-EE | ex_audioset.py | Python | test_loaders | test_loaders | 424 | 436 | 424 | 425 | 36d5026bef0c93a3adf9698ad9ed543c4023e29d | bigcode/the-stack | train |
a9768e2a8aeae9035958b9bb | train | class | class M(Ba3lModule):
def __init__(self, experiment):
self.mel = None
self.da_net = None
super(M, self).__init__(experiment)
self.use_mixup = self.config.use_mixup or False
self.mixup_alpha = self.config.mixup_alpha
desc, sum_params, sum_non_zero = count_non_zero_par... | class M(Ba3lModule):
| def __init__(self, experiment):
self.mel = None
self.da_net = None
super(M, self).__init__(experiment)
self.use_mixup = self.config.use_mixup or False
self.mixup_alpha = self.config.mixup_alpha
desc, sum_params, sum_non_zero = count_non_zero_params(self.net)
... | arm_up_len=5, ramp_down_start=50, ramp_down_len=50, last_lr_value=0.01,
schedule_mode="exp_lin"):
if schedule_mode == "exp_lin":
return exp_warmup_linear_down(warm_up_len, ramp_down_len, ramp_down_start, last_lr_value)
if schedule_mode == "cos_cyc":
return cosine_cycle(w... | 256 | 256 | 1,680 | 8 | 248 | JetRunner/PaSST-EE | ex_audioset.py | Python | M | M | 102 | 273 | 102 | 102 | 512042b6b2f8f33904831652f07492c9ca279564 | bigcode/the-stack | train |
d0cfe012f72adbd5f767cc8b | train | function | @ex.config
def default_conf():
cmd = " ".join(sys.argv) # command line arguments
saque_cmd = os.environ.get("SAQUE_CMD", "").strip()
saque_id = os.environ.get("SAQUE_ID", "").strip()
slurm_job_id = os.environ.get("SLURM_JOB_ID", "").strip()
if os.environ.get("SLURM_ARRAY_JOB_ID", False):
slu... | @ex.config
def default_conf():
| cmd = " ".join(sys.argv) # command line arguments
saque_cmd = os.environ.get("SAQUE_CMD", "").strip()
saque_id = os.environ.get("SAQUE_ID", "").strip()
slurm_job_id = os.environ.get("SLURM_JOB_ID", "").strip()
if os.environ.get("SLURM_ARRAY_JOB_ID", False):
slurm_job_id = os.environ.get("SLU... | GPU"
# define datasets and loaders
ex.datasets.training.iter(DataLoader, static_args=dict(worker_init_fn=worker_init_fn), train=True, batch_size=12,
num_workers=16, shuffle=None, dataset=CMD("/basedataset.get_full_training_set"),
sampler=CMD("/basedataset.get_ft_wei... | 122 | 123 | 412 | 8 | 114 | JetRunner/PaSST-EE | ex_audioset.py | Python | default_conf | default_conf | 40 | 70 | 40 | 41 | e01c4708bd9d4502c30c622c6e27b800cfe3c358 | bigcode/the-stack | train |
4ff3bb468001e7ee1ee42634 | train | function | @ex.command
def model_speed_test(_run, _config, _log, _rnd, _seed, speed_test_batch_size=100):
'''
Test training speed of a model
@param _run:
@param _config:
@param _log:
@param _rnd:
@param _seed:
@param speed_test_batch_size: the batch size during the test
@return:
'''
mo... | @ex.command
def model_speed_test(_run, _config, _log, _rnd, _seed, speed_test_batch_size=100):
| '''
Test training speed of a model
@param _run:
@param _config:
@param _log:
@param _rnd:
@param _seed:
@param speed_test_batch_size: the batch size during the test
@return:
'''
modul = M(ex)
modul = modul.cuda()
batch_size = speed_test_batch_size
print(f"\nBATCH... | veraging
return [StochasticWeightAveraging(swa_epoch_start=swa_epoch_start, swa_freq=swa_freq)]
@ex.command
def main(_run, _config, _log, _rnd, _seed):
trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
trainer.fit(
... | 150 | 150 | 502 | 30 | 120 | JetRunner/PaSST-EE | ex_audioset.py | Python | model_speed_test | model_speed_test | 317 | 375 | 317 | 318 | ca1142b9baa90e886290711c44c941c092ab1c96 | bigcode/the-stack | train |
42b79bb5bc05710d524a5a00 | train | function | @ex.command
def evaluate_fix_layer(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
load_from = modul.config.trainer.resume_from_... | @ex.command
def evaluate_fix_layer(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
| trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
load_from = modul.config.trainer.resume_from_checkpoint
if load_from is not None:
print("Loading checkpoint from", load_from)
net = get_net_state_dict_from_che... | ataloaders=val_loader)
print("\n\n Validtaion:")
print(res)
print(modul.net.get_stats())
@ex.command
def evaluate_fix_layer(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
| 64 | 64 | 213 | 36 | 28 | JetRunner/PaSST-EE | ex_audioset.py | Python | evaluate_fix_layer | evaluate_fix_layer | 402 | 421 | 402 | 404 | 6032fbed870bae06d075f7b0caed15f4fac9df8d | bigcode/the-stack | train |
d68b800c182b298c795020fa | train | function | @ex.command
def evaluate_only(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
load_from = modul.config.trainer.resume_from_check... | @ex.command
def evaluate_only(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
| trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
load_from = modul.config.trainer.resume_from_checkpoint
if load_from is not None:
print("Loading checkpoint from", load_from)
net = get_net_state_dict_from_che... | test done:', (t2 - t1))
print("average speed: ", (test_length * batch_size) / (t2 - t1), " specs/second")
@ex.command
def evaluate_only(_run, _config, _log, _rnd, _seed):
# force overriding the config, not logged = not recommended
| 72 | 72 | 241 | 35 | 37 | JetRunner/PaSST-EE | ex_audioset.py | Python | evaluate_only | evaluate_only | 378 | 400 | 378 | 380 | afdc28bc0a452032591cdf94e68e549d5278ac02 | bigcode/the-stack | train |
aa5d287fac62c17d4fd4e92a | train | function | @ex.command
def get_extra_checkpoint_callback(save_last_n=None):
if save_last_n is None:
return []
return [ModelCheckpoint(monitor="step", verbose=True, save_top_k=save_last_n, mode='max')]
| @ex.command
def get_extra_checkpoint_callback(save_last_n=None):
| if save_last_n is None:
return []
return [ModelCheckpoint(monitor="step", verbose=True, save_top_k=save_last_n, mode='max')]
| get_extra_checkpoint_callback() + get_extra_swa_callback()
@ex.command
def get_dynamic_norm(model, dyn_norm=False):
if not dyn_norm:
return None, None
raise RuntimeError('no dynamic norm supported yet.')
@ex.command
def get_extra_checkpoint_callback(save_last_n=None):
| 63 | 64 | 50 | 14 | 49 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_extra_checkpoint_callback | get_extra_checkpoint_callback | 283 | 287 | 283 | 284 | 5d097566d13821984e5416394067cd1f39418ce3 | bigcode/the-stack | train |
97ca7e0196649b217327c2e2 | train | function | @ex.command
def get_scheduler_lambda(warm_up_len=5, ramp_down_start=50, ramp_down_len=50, last_lr_value=0.01,
schedule_mode="exp_lin"):
if schedule_mode == "exp_lin":
return exp_warmup_linear_down(warm_up_len, ramp_down_len, ramp_down_start, last_lr_value)
if schedule_mode == "c... | @ex.command
def get_scheduler_lambda(warm_up_len=5, ramp_down_start=50, ramp_down_len=50, last_lr_value=0.01,
schedule_mode="exp_lin"):
| if schedule_mode == "exp_lin":
return exp_warmup_linear_down(warm_up_len, ramp_down_len, ramp_down_start, last_lr_value)
if schedule_mode == "cos_cyc":
return cosine_cycle(warm_up_len, ramp_down_start, last_lr_value)
raise RuntimeError(f"schedule_mode={schedule_mode} Unknown for a lambda fun... | 12
fix_ic_output_layer_num = None
# register extra possible configs
add_configs(ex)
@ex.command
def get_scheduler_lambda(warm_up_len=5, ramp_down_start=50, ramp_down_len=50, last_lr_value=0.01,
schedule_mode="exp_lin"):
| 64 | 64 | 122 | 42 | 22 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_scheduler_lambda | get_scheduler_lambda | 77 | 84 | 77 | 79 | 2e0ddc387d7d0b46def2ad3d630cfcaa80bd0e66 | bigcode/the-stack | train |
dcb973666c628c099bec5053 | train | function | @ex.command
def get_extra_swa_callback(swa=True, swa_epoch_start=50,
swa_freq=5):
if not swa:
return []
print("\n Using swa!\n")
from helpers.swa_callback import StochasticWeightAveraging
return [StochasticWeightAveraging(swa_epoch_start=swa_epoch_start, swa_freq=swa_f... | @ex.command
def get_extra_swa_callback(swa=True, swa_epoch_start=50,
swa_freq=5):
| if not swa:
return []
print("\n Using swa!\n")
from helpers.swa_callback import StochasticWeightAveraging
return [StochasticWeightAveraging(swa_epoch_start=swa_epoch_start, swa_freq=swa_freq)]
| ):
if save_last_n is None:
return []
return [ModelCheckpoint(monitor="step", verbose=True, save_top_k=save_last_n, mode='max')]
@ex.command
def get_extra_swa_callback(swa=True, swa_epoch_start=50,
swa_freq=5):
| 63 | 64 | 81 | 26 | 37 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_extra_swa_callback | get_extra_swa_callback | 290 | 297 | 290 | 292 | 74efaf9bb810a37f5b61b5f84549986cd9be9baf | bigcode/the-stack | train |
2d09b8b0289cbfa46d4ccb17 | train | function | @ex.command
def preload_mp3(all_y=CMD("/basedataset.preload_mp3")):
'''
read the dataset sequentially, useful if you have a network cache
@param all_y: the dataset preload command
@return:
'''
print(all_y.shape)
| @ex.command
def preload_mp3(all_y=CMD("/basedataset.preload_mp3")):
| '''
read the dataset sequentially, useful if you have a network cache
@param all_y: the dataset preload command
@return:
'''
print(all_y.shape)
| for i, b in enumerate(ex.datasets.test.get_iter()):
print(b)
break
def set_default_json_pickle(obj):
if isinstance(obj, set):
return list(obj)
raise TypeError
@ex.command
def preload_mp3(all_y=CMD("/basedataset.preload_mp3")):
| 64 | 64 | 61 | 21 | 42 | JetRunner/PaSST-EE | ex_audioset.py | Python | preload_mp3 | preload_mp3 | 445 | 452 | 445 | 446 | fd32bd190871b898716370fce4eb4c8f9559d615 | bigcode/the-stack | train |
58c363129e7eb0e3c0644a4e | train | function | @ex.command
def get_dynamic_norm(model, dyn_norm=False):
if not dyn_norm:
return None, None
raise RuntimeError('no dynamic norm supported yet.')
| @ex.command
def get_dynamic_norm(model, dyn_norm=False):
| if not dyn_norm:
return None, None
raise RuntimeError('no dynamic norm supported yet.')
| (self.parameters(), lr=self.config.lr)
return {
'optimizer': optimizer,
'lr_scheduler': get_lr_scheduler(optimizer)
}
def configure_callbacks(self):
return get_extra_checkpoint_callback() + get_extra_swa_callback()
@ex.command
def get_dynamic_norm(model, dyn_norm=Fal... | 64 | 64 | 37 | 14 | 50 | JetRunner/PaSST-EE | ex_audioset.py | Python | get_dynamic_norm | get_dynamic_norm | 276 | 280 | 276 | 277 | 51697b34c66073e00038cdef13eccc41d3694cb3 | bigcode/the-stack | train |
c30816648c03f506dfe14f62 | train | function | def set_default_json_pickle(obj):
if isinstance(obj, set):
return list(obj)
raise TypeError
| def set_default_json_pickle(obj):
| if isinstance(obj, set):
return list(obj)
raise TypeError
| get one sample from each loader for debbuging
@return:
'''
for i, b in enumerate(ex.datasets.training.get_iter()):
print(b)
break
for i, b in enumerate(ex.datasets.test.get_iter()):
print(b)
break
def set_default_json_pickle(obj):
| 64 | 64 | 24 | 7 | 56 | JetRunner/PaSST-EE | ex_audioset.py | Python | set_default_json_pickle | set_default_json_pickle | 439 | 442 | 439 | 439 | fa83742a6fc2c446df5b3e6664ea77ecf2d26adc | bigcode/the-stack | train |
3a66319f6e68b72a2cb9890d | train | function | def multiprocessing_run(rank, word_size):
print("rank ", rank, os.getpid())
print("word_size ", word_size)
os.environ['NODE_RANK'] = str(rank)
os.environ['CUDA_VISIBLE_DEVICES'] = os.environ['CUDA_VISIBLE_DEVICES'].split(",")[rank]
argv = sys.argv
if rank != 0:
print(f"Unobserved {os.get... | def multiprocessing_run(rank, word_size):
| print("rank ", rank, os.getpid())
print("word_size ", word_size)
os.environ['NODE_RANK'] = str(rank)
os.environ['CUDA_VISIBLE_DEVICES'] = os.environ['CUDA_VISIBLE_DEVICES'].split(",")[rank]
argv = sys.argv
if rank != 0:
print(f"Unobserved {os.getpid()} with rank {rank}")
argv = a... | preload_mp3(all_y=CMD("/basedataset.preload_mp3")):
'''
read the dataset sequentially, useful if you have a network cache
@param all_y: the dataset preload command
@return:
'''
print(all_y.shape)
def multiprocessing_run(rank, word_size):
| 64 | 64 | 178 | 8 | 56 | JetRunner/PaSST-EE | ex_audioset.py | Python | multiprocessing_run | multiprocessing_run | 455 | 474 | 455 | 455 | 17f143f17605229aacb1bfc0ade1380c2d78bbe7 | bigcode/the-stack | train |
17f55c4059d4de9a3aaf7f83 | train | function | @ex.command
def main(_run, _config, _log, _rnd, _seed):
trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
trainer.fit(
modul,
train_dataloader=train_loader,
val_dataloaders=val_loader,
)
return ... | @ex.command
def main(_run, _config, _log, _rnd, _seed):
| trainer = ex.get_trainer()
train_loader = ex.get_train_dataloaders()
val_loader = ex.get_val_dataloaders()
modul = M(ex)
trainer.fit(
modul,
train_dataloader=train_loader,
val_dataloaders=val_loader,
)
return {"done": True}
| swa!\n")
from helpers.swa_callback import StochasticWeightAveraging
return [StochasticWeightAveraging(swa_epoch_start=swa_epoch_start, swa_freq=swa_freq)]
@ex.command
def main(_run, _config, _log, _rnd, _seed):
| 63 | 64 | 92 | 21 | 42 | JetRunner/PaSST-EE | ex_audioset.py | Python | main | main | 300 | 314 | 300 | 301 | b563bd8fe7210d33f93fa16ad7e2ddbcb664d24e | bigcode/the-stack | train |
dfba728d4f35f6d15022238f | train | function | @ex.automain
def default_command():
return main()
| @ex.automain
def default_command():
| return main()
| multiprocessing_run(rank, word_size)
exit(0)
pid, exit_code = os.wait()
print(pid, exit_code)
exit(0)
print("__main__ is running pid", os.getpid(), "in module main: ", __name__)
@ex.automain
def default_command():
| 64 | 64 | 13 | 9 | 55 | JetRunner/PaSST-EE | ex_audioset.py | Python | default_command | default_command | 506 | 508 | 506 | 507 | b37bfc19df19162c65558b3a9adef06123f73265 | bigcode/the-stack | train |
c52ccff6e47524f640b4b404 | train | function | def has_waters(molecular_system):
from molsysmt.basic import get
output = False
n_waters = get(molecular_system, target='system', n_waters=True)
if n_waters>0:
output = True
return output
| def has_waters(molecular_system):
| from molsysmt.basic import get
output = False
n_waters = get(molecular_system, target='system', n_waters=True)
if n_waters>0:
output = True
return output
| from molsysmt._private.exceptions import *
from molsysmt._private.digestion import *
def has_waters(molecular_system):
| 28 | 64 | 58 | 8 | 20 | uibcdf/MolModSAKs | molsysmt/build/has_waters.py | Python | has_waters | has_waters | 4 | 15 | 4 | 5 | bb09b7ebd11d554dcac133de0c195896e0dd7623 | bigcode/the-stack | train |
13b66ec1b404029ecc04a4d4 | train | function | def imperial(x):
"""
This function will convert Imperial Feet (and Inches) to Metric Meters (or Centimeters if less than 1 whole Meter
:return: Converted value from Imperial to Metric
"""
# FEET SECTION
# Take the feet from Array and set to variable frac_ft
frac_ft = float(x[0])
# Con... | def imperial(x):
| """
This function will convert Imperial Feet (and Inches) to Metric Meters (or Centimeters if less than 1 whole Meter
:return: Converted value from Imperial to Metric
"""
# FEET SECTION
# Take the feet from Array and set to variable frac_ft
frac_ft = float(x[0])
# Convert from Feet to... | Inches to Meters OR Meters to Feet and Inches
Requirements:
fractions.Fraction function built into Python3
Known Issues:
1. Negative Feet and Positive Inches. I can't be bothered to fix it at 11 PM.
"""
# Necessary imports for this script to function.
from fractions import Fraction as Fracs
# Imperial to ... | 77 | 77 | 258 | 4 | 72 | IntenseToxicity/Imperial-to-metric-conversion | the_script.py | Python | imperial | imperial | 21 | 56 | 21 | 21 | f529a56f407be9e94c0c95ce44e3e510782b93f2 | bigcode/the-stack | train |
c0c76d1c6110510674a18d09 | train | function | def main():
# Initialize variables
system_value = bool() # 0 for Metric start, 1 for Imperial start.
initial = str() # The initial value to convert FROM.
sysloop = True # Internal loop 1 initial starting value [Unit of measure validation loop]
# User input and Validation
while sysloop is Tru... | def main():
# Initialize variables
| system_value = bool() # 0 for Metric start, 1 for Imperial start.
initial = str() # The initial value to convert FROM.
sysloop = True # Internal loop 1 initial starting value [Unit of measure validation loop]
# User input and Validation
while sysloop is True:
try:
# Get the s... |
return result
# Metric to Imperial Conversion
def metric(x):
"""
This function will convert Metric meters to Imperial Feet (and Inches).
:return: Converted value from Metric to Imperial
"""
# Initial conversion
# Meters to Feet
meters_in_ft = float("{:.4f}".format(x * 3.280839895))
... | 256 | 256 | 1,447 | 8 | 247 | IntenseToxicity/Imperial-to-metric-conversion | the_script.py | Python | main | main | 91 | 275 | 91 | 92 | 36e7598e1b6280e306e29127d6f1b79bf5fd4264 | bigcode/the-stack | train |
258184ab652572cde8f8590e | train | function | def metric(x):
"""
This function will convert Metric meters to Imperial Feet (and Inches).
:return: Converted value from Metric to Imperial
"""
# Initial conversion
# Meters to Feet
meters_in_ft = float("{:.4f}".format(x * 3.280839895))
# Inches portion of conversion
meters_in_in ... | def metric(x):
| """
This function will convert Metric meters to Imperial Feet (and Inches).
:return: Converted value from Metric to Imperial
"""
# Initial conversion
# Meters to Feet
meters_in_ft = float("{:.4f}".format(x * 3.280839895))
# Inches portion of conversion
meters_in_in = meters_in_ft ... | RESULTS
# Calculate the results
result = result_1 + result_2
# Format to 4 decimal places
result = float("{:.4f}".format(result))
# RETURN SECTION
# Return the converted result to be displayed
return result
# Metric to Imperial Conversion
def metric(x):
| 69 | 69 | 233 | 4 | 64 | IntenseToxicity/Imperial-to-metric-conversion | the_script.py | Python | metric | metric | 60 | 87 | 60 | 60 | 9ce9d847ee928d74c3539e6728985a461299eb93 | bigcode/the-stack | train |
123a70f3729900b0d61f561c | train | class | class MarloEnvBuilder(MarloEnvBuilderBase):
"""
Description:
The layout of this mission is that of a series of interconnected rooms made out of
stone bricks. Various obstacles are placed in and between these rooms, and doors
actioned by levers separate them. The agent's goal is to find the gold/diamond/r... | class MarloEnvBuilder(MarloEnvBuilderBase):
| """
Description:
The layout of this mission is that of a series of interconnected rooms made out of
stone bricks. Various obstacles are placed in and between these rooms, and doors
actioned by levers separate them. The agent's goal is to find the gold/diamond/redstone
block in one of the rooms.
Act... | #!/usr/bin/env python
import marlo
from marlo import MarloEnvBuilderBase
from marlo import MalmoPython
import os
from pathlib import Path
class MarloEnvBuilder(MarloEnvBuilderBase):
| 47 | 105 | 353 | 11 | 35 | spMohanty/marlo | marlo/envs/Obstacles/main.py | Python | MarloEnvBuilder | MarloEnvBuilder | 11 | 63 | 11 | 11 | c5bb5dca8b6621cc96694ab9d643818f9811966b | bigcode/the-stack | train |
419e282596fc505fda59e963 | train | class | class AttachmentLocationBase(AgilityModelBase):
'''
classdocs
'''
def __init__(self, path='', repository=None):
AgilityModelBase.__init__(self)
self._attrSpecs = getattr(self, '_attrSpecs', {})
self._attrSpecs.update({'path': {'type': 'string', 'name': 'path', 'native': True}, 'r... | class AttachmentLocationBase(AgilityModelBase):
| '''
classdocs
'''
def __init__(self, path='', repository=None):
AgilityModelBase.__init__(self)
self._attrSpecs = getattr(self, '_attrSpecs', {})
self._attrSpecs.update({'path': {'type': 'string', 'name': 'path', 'native': True}, 'repository': {'type': 'Link', 'name': 'repository... | from core.agility.common.AgilityModelBase import AgilityModelBase
class AttachmentLocationBase(AgilityModelBase):
| 26 | 64 | 112 | 10 | 15 | harshp8l/deep-learning-lang-detection | data/train/python/de8b426e53db23dba09d6cc26f8d58723f758514AttachmentLocation.py | Python | AttachmentLocationBase | AttachmentLocationBase | 4 | 13 | 4 | 4 | 5adc34d34c0a22329a1942a1735cb3775603047b | bigcode/the-stack | train |
e8cf93a2afb2954db379c081 | train | function | def all_ts_files(suffix=''):
for filename in os.listdir(LOCALE_DIR):
# process only language files, and do not process source language
if not filename.endswith('.ts'+suffix) or filename == SOURCE_LANG+suffix:
continue
if suffix: # remove provided suffix
filename = fil... | def all_ts_files(suffix=''):
| for filename in os.listdir(LOCALE_DIR):
# process only language files, and do not process source language
if not filename.endswith('.ts'+suffix) or filename == SOURCE_LANG+suffix:
continue
if suffix: # remove provided suffix
filename = filename[0:-len(suffix)]
... | Allow numerus translations to omit %n specifier (usually when it only has one possible value)
return True
errors.append("Mismatch between '%s' and '%s'" % (sanitize_string(source), sanitize_string(translation)))
return False
return True
def all_ts_files(suffix=''):
| 64 | 64 | 93 | 8 | 55 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | all_ts_files | all_ts_files | 97 | 105 | 97 | 97 | f25ec7bd152fdbcac881f6aff16d3b5858a2e0ee | bigcode/the-stack | train |
1182359c3df4ab6efb75023f | train | function | def check_format_specifiers(source, translation, errors, numerus):
source_f = split_format_specifiers(find_format_specifiers(source))
# assert that no source messages contain both Qt and strprintf format specifiers
# if this fails, go change the source as this is hacky and confusing!
#assert(not(source_... | def check_format_specifiers(source, translation, errors, numerus):
| source_f = split_format_specifiers(find_format_specifiers(source))
# assert that no source messages contain both Qt and strprintf format specifiers
# if this fails, go change the source as this is hacky and confusing!
#assert(not(source_f[0] and source_f[1]))
try:
translation_f = split_forma... | )
# numeric (Qt) can be present in any order, others (strprintf) must be in specified order
return set(numeric),other
def sanitize_string(s):
'''Sanitize string for printing'''
return s.replace('\n',' ')
def check_format_specifiers(source, translation, errors, numerus):
| 68 | 69 | 231 | 14 | 54 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | check_format_specifiers | check_format_specifiers | 78 | 95 | 78 | 78 | 5e024ac6430c432c6ec5fff86410976a61d6fb9c | bigcode/the-stack | train |
56c540b69b85c5a1a79512fc | train | function | def postprocess_translations(reduce_diff_hacks=False):
print('Checking and postprocessing...')
if reduce_diff_hacks:
global _orig_escape_cdata
_orig_escape_cdata = ET._escape_cdata
ET._escape_cdata = escape_cdata
for (filename,filepath) in all_ts_files():
os.rename(filepath... | def postprocess_translations(reduce_diff_hacks=False):
| print('Checking and postprocessing...')
if reduce_diff_hacks:
global _orig_escape_cdata
_orig_escape_cdata = ET._escape_cdata
ET._escape_cdata = escape_cdata
for (filename,filepath) in all_ts_files():
os.rename(filepath, filepath+'.orig')
have_errors = False
for (f... | ) or filename == SOURCE_LANG+suffix:
continue
if suffix: # remove provided suffix
filename = filename[0:-len(suffix)]
filepath = os.path.join(LOCALE_DIR, filename)
yield(filename, filepath)
FIX_RE = re.compile(b'[\x00-\x09\x0b\x0c\x0e-\x1f]')
def remove_invalid_character... | 194 | 194 | 647 | 12 | 181 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | postprocess_translations | postprocess_translations | 121 | 197 | 121 | 121 | 15bee6a32bf7dbeb48912f0b8d5ec9553a40f7bb | bigcode/the-stack | train |
b3ee643be2b082aac1e20a71 | train | function | def find_format_specifiers(s):
'''Find all format specifiers in a string.'''
pos = 0
specifiers = []
while True:
percent = s.find('%', pos)
if percent < 0:
break
try:
specifiers.append(s[percent+1])
except:
print('Failed to get specifie... | def find_format_specifiers(s):
| '''Find all format specifiers in a string.'''
pos = 0
specifiers = []
while True:
percent = s.find('%', pos)
if percent < 0:
break
try:
specifiers.append(s[percent+1])
except:
print('Failed to get specifier')
pos = percent+2
... | this script at the root of the repository', file=sys.stderr)
exit(1)
def fetch_all_translations():
if subprocess.call([TX, 'pull', '-f', '-a']):
print('Error while fetching translations', file=sys.stderr)
exit(1)
def find_format_specifiers(s):
| 64 | 64 | 90 | 7 | 57 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | find_format_specifiers | find_format_specifiers | 46 | 59 | 46 | 46 | 948e241f4d1445b95b1ad11701db51eb2146e7c1 | bigcode/the-stack | train |
8168e19dcb5292b16b27a40e | train | function | def fetch_all_translations():
if subprocess.call([TX, 'pull', '-f', '-a']):
print('Error while fetching translations', file=sys.stderr)
exit(1)
| def fetch_all_translations():
| if subprocess.call([TX, 'pull', '-f', '-a']):
print('Error while fetching translations', file=sys.stderr)
exit(1)
| be considered at all
MIN_NUM_MESSAGES = 10
def check_at_repository_root():
if not os.path.exists('.git'):
print('No .git directory found')
print('Execute this script at the root of the repository', file=sys.stderr)
exit(1)
def fetch_all_translations():
| 64 | 64 | 39 | 6 | 58 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | fetch_all_translations | fetch_all_translations | 41 | 44 | 41 | 41 | 5a79d6e3fb86627130a006212ed7d7e829148656 | bigcode/the-stack | train |
8fb1c8e8a545449bc9b81386 | train | function | def check_at_repository_root():
if not os.path.exists('.git'):
print('No .git directory found')
print('Execute this script at the root of the repository', file=sys.stderr)
exit(1)
| def check_at_repository_root():
| if not os.path.exists('.git'):
print('No .git directory found')
print('Execute this script at the root of the repository', file=sys.stderr)
exit(1)
| TX = 'tx'
# Name of source language file
SOURCE_LANG = 'VirtDex_en.ts'
# Directory with locale files
LOCALE_DIR = 'src/qt/locale'
# Minimum number of messages for translation to be considered at all
MIN_NUM_MESSAGES = 10
def check_at_repository_root():
| 64 | 64 | 46 | 6 | 57 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | check_at_repository_root | check_at_repository_root | 35 | 39 | 35 | 35 | e22a674c83912abbe7de2097a642d2c88879b0a3 | bigcode/the-stack | train |
03583f6dd70f4134f2378c60 | train | function | def sanitize_string(s):
'''Sanitize string for printing'''
return s.replace('\n',' ')
| def sanitize_string(s):
| '''Sanitize string for printing'''
return s.replace('\n',' ')
| ','4','5','6','7','8','9'}:
numeric.append(s)
else:
other.append(s)
# numeric (Qt) can be present in any order, others (strprintf) must be in specified order
return set(numeric),other
def sanitize_string(s):
| 64 | 64 | 21 | 5 | 58 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | sanitize_string | sanitize_string | 74 | 76 | 74 | 74 | 3bf41e4a161e3999fd7cc587b8f72f523ec406e8 | bigcode/the-stack | train |
049c8b59e0533d30e4bbcf2c | train | function | def split_format_specifiers(specifiers):
'''Split format specifiers between numeric (Qt) and others (strprintf)'''
numeric = []
other = []
for s in specifiers:
if s in {'1','2','3','4','5','6','7','8','9'}:
numeric.append(s)
else:
other.append(s)
# numeric (Q... | def split_format_specifiers(specifiers):
| '''Split format specifiers between numeric (Qt) and others (strprintf)'''
numeric = []
other = []
for s in specifiers:
if s in {'1','2','3','4','5','6','7','8','9'}:
numeric.append(s)
else:
other.append(s)
# numeric (Qt) can be present in any order, others (s... | percent = s.find('%', pos)
if percent < 0:
break
try:
specifiers.append(s[percent+1])
except:
print('Failed to get specifier')
pos = percent+2
return specifiers
def split_format_specifiers(specifiers):
| 64 | 64 | 110 | 8 | 55 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | split_format_specifiers | split_format_specifiers | 61 | 72 | 61 | 61 | a623f04fb6a09cc9a2984ccd82df5aa2ff458231 | bigcode/the-stack | train |
4c2a0711ec545b6c30e345aa | train | function | def remove_invalid_characters(s):
'''Remove invalid characters from translation string'''
return FIX_RE.sub(b'', s)
| def remove_invalid_characters(s):
| '''Remove invalid characters from translation string'''
return FIX_RE.sub(b'', s)
| filename = filename[0:-len(suffix)]
filepath = os.path.join(LOCALE_DIR, filename)
yield(filename, filepath)
FIX_RE = re.compile(b'[\x00-\x09\x0b\x0c\x0e-\x1f]')
def remove_invalid_characters(s):
| 64 | 64 | 25 | 7 | 58 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | remove_invalid_characters | remove_invalid_characters | 108 | 110 | 108 | 108 | f01df57c7e739d19b8f8316a2a6f3ece5e1fe7c1 | bigcode/the-stack | train |
2461ce42ffdb71a9cc04a658 | train | function | def escape_cdata(text):
text = _orig_escape_cdata(text)
text = text.replace("'", ''')
text = text.replace('"', '"')
return text
| def escape_cdata(text):
| text = _orig_escape_cdata(text)
text = text.replace("'", ''')
text = text.replace('"', '"')
return text
| acters(s):
'''Remove invalid characters from translation string'''
return FIX_RE.sub(b'', s)
# Override cdata escape function to make our output match Qt's (optional, just for cleaner diffs for
# comparison, disable by default)
_orig_escape_cdata = None
def escape_cdata(text):
| 64 | 64 | 42 | 6 | 57 | VirtDexCoinvir/virtdex | contrib/devtools/update-translations.py | Python | escape_cdata | escape_cdata | 115 | 119 | 115 | 115 | a0ad083ad5161501d817976805d7156747d0fc02 | bigcode/the-stack | train |
577c067d53d83b2749373c68 | train | class | class TestWaterfall(unittest.TestCase):
"""
Test the waterfall method for loading data from the data providers.
"""
def setUp(self) -> None:
"""
Create the providers and list of companies which we'll use later on.
"""
self.companies = [
{"company_name": "Comp... | class TestWaterfall(unittest.TestCase):
| """
Test the waterfall method for loading data from the data providers.
"""
def setUp(self) -> None:
"""
Create the providers and list of companies which we'll use later on.
"""
self.companies = [
{"company_name": "Company A", "company_id": "JP0000000001"},
... | import SBTi.data
from SBTi import utils
from SBTi.data.csv import CSVProvider
import os
import unittest
class TestWaterfall(unittest.TestCase):
| 37 | 124 | 416 | 8 | 28 | CarbonEdge2021/SBTi-finance-tool | test/data/test_waterfall.py | Python | TestWaterfall | TestWaterfall | 9 | 66 | 9 | 9 | 273076654888892c42c272066bce2ecf092b9c2e | bigcode/the-stack | train |
517c4253f6022413276b6abe | train | class | class ShardedModel(models.Model):
objects = ShardManager()
class Meta:
abstract = True
| class ShardedModel(models.Model):
| objects = ShardManager()
class Meta:
abstract = True
| new sharded table. Keeps all indexes and unique together.
"""
try:
with connections[db].cursor() as cursor:
cursor.execute('CREATE TABLE IF NOT EXISTS %s LIKE %s;' % (destination_table, source_table))
except:
pass
class ShardedModel(models.Model):
| 64 | 64 | 23 | 7 | 56 | rayhern/django-table-sharding | django_table_sharding/managers.py | Python | ShardedModel | ShardedModel | 160 | 165 | 160 | 161 | 713962ea1418c6cc32bc0d9da56a7ed8aac918cb | bigcode/the-stack | train |
aa95801ca95dd706cf755131 | train | class | class ShardManager(models.Manager):
def shard(self, table_suffix, db='default'):
"""
Use a shard of the table and set it to the model.
Usage: Model.objects.shard(1).all()
"""
global THREAD_LOCK, FORK_LOCK
meta = getattr(self.model, '_meta')
db_table = '%s_%s_... | class ShardManager(models.Manager):
| def shard(self, table_suffix, db='default'):
"""
Use a shard of the table and set it to the model.
Usage: Model.objects.shard(1).all()
"""
global THREAD_LOCK, FORK_LOCK
meta = getattr(self.model, '_meta')
db_table = '%s_%s_%s' % (
str(meta.app_labe... | from django.db import connections
from django.db import models
from .utils import copy_model, chunks
import random
import datetime
import traceback
import threading
import multiprocessing
class ShardException(Exception):
pass
THREAD_LOCK = threading.Lock()
FORK_LOCK = multiprocessing.Lock()
# Specific model m... | 84 | 256 | 1,150 | 7 | 77 | rayhern/django-table-sharding | django_table_sharding/managers.py | Python | ShardManager | ShardManager | 20 | 157 | 20 | 21 | 7d564c8928238a1e274fb422b932b9bc8bf2b07f | bigcode/the-stack | train |
c62d4f4ce18b523a108a77b4 | train | class | class ShardException(Exception):
pass
| class ShardException(Exception):
| pass
| from django.db import connections
from django.db import models
from .utils import copy_model, chunks
import random
import datetime
import traceback
import threading
import multiprocessing
class ShardException(Exception):
| 42 | 64 | 9 | 6 | 35 | rayhern/django-table-sharding | django_table_sharding/managers.py | Python | ShardException | ShardException | 11 | 12 | 11 | 11 | 8466655d795bd9f6a24ebb08a3d38c214291693f | bigcode/the-stack | train |
2ab4a1eb04a9aaf39c70d2cf | train | function | def relu(x):
"""
.. todo::
WRITEME properly
Rectified linear activation
"""
return T.max(0, x)
| def relu(x):
| """
.. todo::
WRITEME properly
Rectified linear activation
"""
return T.max(0, x)
| """
.. todo::
WRITEME
"""
import theano
T = theano.tensor
def identity(x):
"""
.. todo::
WRITEME properly
Importable identity function. Created for the purposes of pickling.
"""
return x
def relu(x):
| 61 | 64 | 34 | 5 | 55 | BouchardLab/pylearn2 | pylearn2/expr/activations.py | Python | relu | relu | 21 | 29 | 21 | 21 | 82d5e0340868f35febfa0d55577006b5efde0f9a | bigcode/the-stack | train |
772b13f768aad06e261c9d9f | train | function | def rescaled_softmax(x, min_val=1e-5):
"""
.. todo::
WRITEME
"""
return _rescale_softmax(T.nnet.softmax(x), min_val=min_val)
| def rescaled_softmax(x, min_val=1e-5):
| """
.. todo::
WRITEME
"""
return _rescale_softmax(T.nnet.softmax(x), min_val=min_val)
| Avoid upcast to float64 when floatX==float32 and n_classes is int64
n_classes = n_classes.astype(theano.config.floatX)
return sm * (1 - n_classes * min_val) + min_val
def rescaled_softmax(x, min_val=1e-5):
| 64 | 64 | 46 | 15 | 48 | BouchardLab/pylearn2 | pylearn2/expr/activations.py | Python | rescaled_softmax | rescaled_softmax | 44 | 50 | 44 | 44 | b529871eaafc43f46e8600895eb4acda7d10421c | bigcode/the-stack | train |
ec02936fdcac601f5a6a409f | train | function | def _rescale_softmax(sm, min_val):
"""
.. todo::
WRITEME
"""
n_classes = sm.shape[-1]
# Avoid upcast to float64 when floatX==float32 and n_classes is int64
n_classes = n_classes.astype(theano.config.floatX)
return sm * (1 - n_classes * min_val) + min_val
| def _rescale_softmax(sm, min_val):
| """
.. todo::
WRITEME
"""
n_classes = sm.shape[-1]
# Avoid upcast to float64 when floatX==float32 and n_classes is int64
n_classes = n_classes.astype(theano.config.floatX)
return sm * (1 - n_classes * min_val) + min_val
| Importable identity function. Created for the purposes of pickling.
"""
return x
def relu(x):
"""
.. todo::
WRITEME properly
Rectified linear activation
"""
return T.max(0, x)
def _rescale_softmax(sm, min_val):
| 64 | 64 | 84 | 11 | 53 | BouchardLab/pylearn2 | pylearn2/expr/activations.py | Python | _rescale_softmax | _rescale_softmax | 32 | 41 | 32 | 32 | fffecdc06c332663c5c037e0bbff520b00346c57 | bigcode/the-stack | train |
e6d742287413c1943b178f41 | train | function | def identity(x):
"""
.. todo::
WRITEME properly
Importable identity function. Created for the purposes of pickling.
"""
return x
| def identity(x):
| """
.. todo::
WRITEME properly
Importable identity function. Created for the purposes of pickling.
"""
return x
| """
.. todo::
WRITEME
"""
import theano
T = theano.tensor
def identity(x):
| 24 | 64 | 36 | 4 | 19 | BouchardLab/pylearn2 | pylearn2/expr/activations.py | Python | identity | identity | 10 | 18 | 10 | 10 | a2eb7117acef0dccd1608663d677d7cb1b80eb39 | bigcode/the-stack | train |
23533039a51988bca3c9cff9 | train | class | class CommandTests(TestCase):
def setUp(self):
User = get_user_model()
self.user = User.objects.create_user(username="patrick")
@patch("stripe.Customer.retrieve")
@patch("stripe.Customer.create")
def test_init_customer_creates_customer(self, CreateMock, RetrieveMock):
CreateMoc... | class CommandTests(TestCase):
| def setUp(self):
User = get_user_model()
self.user = User.objects.create_user(username="patrick")
@patch("stripe.Customer.retrieve")
@patch("stripe.Customer.create")
def test_init_customer_creates_customer(self, CreateMock, RetrieveMock):
CreateMock.return_value.id = "cus_XXXXX"... | # pylint: disable=C0301
from django.core import management
from django.test import TestCase
from mock import patch
from ..models import Customer
from ..utils import get_user_model
class CommandTests(TestCase):
| 46 | 143 | 478 | 6 | 39 | adi-li/django-stripe-payments | payments/tests/test_commands.py | Python | CommandTests | CommandTests | 11 | 54 | 11 | 12 | eb602cb9b400f15a0c850246eb7cfdc1bdc5e2c9 | bigcode/the-stack | train |
5ef84715e9d569bb3f0eca54 | train | function | def run():
if file_path == '':
save_prompt = Toplevel()
text = Label(save_prompt, text='Please save your code to rune it!')
text.pack()
return
command = f'python {file_path}'
process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True... | def run():
| if file_path == '':
save_prompt = Toplevel()
text = Label(save_prompt, text='Please save your code to rune it!')
text.pack()
return
command = f'python {file_path}'
process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
outpu... | (filetypes=[('Python Files', '*.py')]) #TO save a file extension
else:
path = file_path
with open(path, 'w') as file:
code = editor.get('1.0', END)
file.write(code)
set_file_path(path)
def run():
| 64 | 64 | 103 | 3 | 61 | AnonymousAmatuer/MaplePython-Compiler | Python Compiler.py | Python | run | run | 36 | 46 | 36 | 36 | 357954d1d34348142c1fabc50ff56adb6f1ec730 | bigcode/the-stack | train |
3451a30ee836c8d25d972f2a | train | function | def open_file():
path = askopenfilename(filetypes=[('Python Files', '*.py')])
with open(path, 'r') as file:
code = file.read()
editor.delete('1.0', END)
editor.insert('1.0', code)
set_file_path(path)
| def open_file():
| path = askopenfilename(filetypes=[('Python Files', '*.py')])
with open(path, 'r') as file:
code = file.read()
editor.delete('1.0', END)
editor.insert('1.0', code)
set_file_path(path)
| ccesary things needed
import subprocess
compiler = Tk()
compiler.title('Maple Python compiler')
compiler.iconbitmap(r'C:\Users\User\Downloads\monitor_IZU_icon.ico')
file_path = ''
def set_file_path(path):
global file_path
file_path = path
def open_file():
| 64 | 64 | 64 | 4 | 59 | AnonymousAmatuer/MaplePython-Compiler | Python Compiler.py | Python | open_file | open_file | 16 | 22 | 16 | 16 | 2d4cde475455325353df018f3bcad6a5b2e8fad9 | bigcode/the-stack | train |
702aa2661be7428c095b9a11 | train | function | def set_file_path(path):
global file_path
file_path = path
| def set_file_path(path):
| global file_path
file_path = path
| tkinter.filedialog import asksaveasfilename, askopenfilename #neccesary things needed
import subprocess
compiler = Tk()
compiler.title('Maple Python compiler')
compiler.iconbitmap(r'C:\Users\User\Downloads\monitor_IZU_icon.ico')
file_path = ''
def set_file_path(path):
| 63 | 64 | 17 | 6 | 57 | AnonymousAmatuer/MaplePython-Compiler | Python Compiler.py | Python | set_file_path | set_file_path | 11 | 13 | 11 | 11 | c6675a14c396ac876fbf91c4e93d03deb85c970b | bigcode/the-stack | train |
a53d1219847c44ebe11acaa5 | train | function | def save_as():
if file_path == '':
path = asksaveasfilename(filetypes=[('Python Files', '*.py')]) #TO save a file extension
else:
path = file_path
with open(path, 'w') as file:
code = editor.get('1.0', END)
file.write(code)
set_file_path(path)
| def save_as():
| if file_path == '':
path = asksaveasfilename(filetypes=[('Python Files', '*.py')]) #TO save a file extension
else:
path = file_path
with open(path, 'w') as file:
code = editor.get('1.0', END)
file.write(code)
set_file_path(path)
| path = askopenfilename(filetypes=[('Python Files', '*.py')])
with open(path, 'r') as file:
code = file.read()
editor.delete('1.0', END)
editor.insert('1.0', code)
set_file_path(path)
def save_as():
| 64 | 64 | 79 | 4 | 60 | AnonymousAmatuer/MaplePython-Compiler | Python Compiler.py | Python | save_as | save_as | 25 | 33 | 25 | 25 | 1a5e941bf0b412b97665e2cdc7f24e5b2c52afa8 | bigcode/the-stack | train |
1633876e7bf41758537180ef | train | class | class TellstickSwitch(TellstickDevice, ToggleEntity):
"""Representation of a Tellstick switch."""
def _parse_ha_data(self, kwargs):
"""Turn the value from HA into something useful."""
return None
def _parse_tellcore_data(self, tellcore_data):
"""Turn the value received from tellcor... | class TellstickSwitch(TellstickDevice, ToggleEntity):
| """Representation of a Tellstick switch."""
def _parse_ha_data(self, kwargs):
"""Turn the value from HA into something useful."""
return None
def _parse_tellcore_data(self, tellcore_data):
"""Turn the value received from tellcore into something useful."""
return None
d... | ATTR_DISCOVER_CONFIG,
DEFAULT_SIGNAL_REPETITIONS)
add_devices(TellstickSwitch(tellcore_id, hass.data['tellcore_registry'],
signal_repetitions)
for tellcore_id in discovery_info[ATTR_DISCOVER_DEVICES])
class TellstickSwitch(... | 64 | 64 | 192 | 12 | 52 | jamescurtin/home-assistant | homeassistant/components/switch/tellstick.py | Python | TellstickSwitch | TellstickSwitch | 34 | 59 | 34 | 34 | e4f6b7a006d11904d6a4cb1465346e27f81c1622 | bigcode/the-stack | train |
6d3acb950baf6aca7c8dc8ad | train | function | def setup_platform(hass, config, add_devices, discovery_info=None):
"""Set up Tellstick switches."""
if (discovery_info is None or
discovery_info[ATTR_DISCOVER_DEVICES] is None):
return
# Allow platform level override, fallback to module config
signal_repetitions = discovery_info.ge... | def setup_platform(hass, config, add_devices, discovery_info=None):
| """Set up Tellstick switches."""
if (discovery_info is None or
discovery_info[ATTR_DISCOVER_DEVICES] is None):
return
# Allow platform level override, fallback to module config
signal_repetitions = discovery_info.get(ATTR_DISCOVER_CONFIG,
... | OVER_DEVICES,
ATTR_DISCOVER_CONFIG,
DOMAIN, TellstickDevice)
from homeassistant.helpers.entity import ToggleEntity
PLATFORM_SCHEMA = vol.Schema({vol.Required("platform"): DOMAIN})
# pylint: disable=unused-argument
def set... | 64 | 64 | 123 | 15 | 48 | jamescurtin/home-assistant | homeassistant/components/switch/tellstick.py | Python | setup_platform | setup_platform | 19 | 31 | 19 | 19 | 70f6ab5c806c2986b301e990e24ba423867f04d8 | bigcode/the-stack | train |
cf0b5c0fac64e1bf378515f8 | train | function | def readme():
"""Load the README file."""
with open('README.md') as f:
return f.read()
| def readme():
| """Load the README file."""
with open('README.md') as f:
return f.read()
| # -*- coding: utf-8 -*-
'''This sets up the package.
Stolen from http://python-packaging.readthedocs.io/en/latest/everything.html and
modified by me.
'''
__version__ = '0.1.0'
from setuptools import setup, find_packages
def readme():
| 64 | 64 | 26 | 4 | 59 | dr-guangtou/asap | setup.py | Python | readme | readme | 11 | 14 | 11 | 11 | f9c4ea210316b52bcf66d43ca3ae401323bd4f5f | bigcode/the-stack | train |
36d05a1f2c36ce3eea2a0679 | train | function | def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
"""
Calculate great circle distance between two points in a sphere,
given longitudes and latitudes https://en.wikipedia.org/wiki/Haversine_formula
We know that the globe is "sort of" spherical, so a path between two po... | def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
| """
Calculate great circle distance between two points in a sphere,
given longitudes and latitudes https://en.wikipedia.org/wiki/Haversine_formula
We know that the globe is "sort of" spherical, so a path between two points
isn't exactly a straight line. We need to account for the Earth's curvature
... | from math import asin, atan, cos, radians, sin, sqrt, tan
def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
| 45 | 188 | 629 | 28 | 16 | JB1959/Python | geodesy/haversine_distance.py | Python | haversine_distance | haversine_distance | 4 | 50 | 4 | 4 | 76bde4a05590d6017b39e038de04d951af970a68 | bigcode/the-stack | train |
8fb0df3548c86bcb34836979 | train | function | def level_json(commits, head):
# We've formally replicated the input string in memory
level = {
'topology': [],
'branches': {},
'tags': {},
'commits': {},
'HEAD': {},
}
all_branches = []
all_tags = []
for commit_name, parents, branches_here, tags_here in... | def level_json(commits, head):
# We've formally replicated the input string in memory
| level = {
'topology': [],
'branches': {},
'tags': {},
'commits': {},
'HEAD': {},
}
all_branches = []
all_tags = []
for commit_name, parents, branches_here, tags_here in commits:
level['topology'].append(commit_name)
level['commits'][commit_nam... | branches.append(branch)
all_branches.add(branch)
commits.append((commit_name, parents, branches, tags))
head = commits[-1][0]
del commits[-1]
return commits, head
def level_json(commits, head):
# We've formally replicated the input string in memory
| 65 | 65 | 218 | 19 | 45 | e-leclercq/git-gud | gitgud/skills/util.py | Python | level_json | level_json | 82 | 122 | 82 | 84 | d709272159372ec949d8218e0ef9760a2c01850e | bigcode/the-stack | train |
1644f31bb0d6e24a2d8c949e | train | function | def get_topology(tree):
tree['topology'] = None
raise NotImplementedError
| def get_topology(tree):
| tree['topology'] = None
raise NotImplementedError
| import os
from copy import deepcopy
# TODO GitPython topology
def get_topology(tree):
| 20 | 64 | 21 | 6 | 13 | e-leclercq/git-gud | gitgud/skills/util.py | Python | get_topology | get_topology | 7 | 9 | 7 | 7 | 2fcf8231ff3b2cc21c52aebf43ce4969367dbe5a | bigcode/the-stack | train |
48e8d2676254911b95ae101d | train | function | def parse_spec(file_name):
# The purpose of this method is to get a more computer-readable commit tree
with open(file_name) as spec_file:
spec = spec_file.read()
commits = [] # List of (commit_name, [parents], [branches], [tags])
all_branches = set()
all_tags = set()
for line in spec.... | def parse_spec(file_name):
# The purpose of this method is to get a more computer-readable commit tree
| with open(file_name) as spec_file:
spec = spec_file.read()
commits = [] # List of (commit_name, [parents], [branches], [tags])
all_branches = set()
all_tags = set()
for line in spec.split('\n'):
if len(line) == 0 or line[0] == '#':
# Last line or comment
co... | import os
from copy import deepcopy
# TODO GitPython topology
def get_topology(tree):
tree['topology'] = None
raise NotImplementedError
def parse_spec(file_name):
# The purpose of this method is to get a more computer-readable commit tree
| 58 | 137 | 459 | 23 | 34 | e-leclercq/git-gud | gitgud/skills/util.py | Python | parse_spec | parse_spec | 12 | 79 | 12 | 13 | 064675ef0064f8e33cd171a2728b523c2ddde053 | bigcode/the-stack | train |
ef5383563dd23d060bb6a98a | train | class | class Level:
def __init__(self, name):
self.name = name
self.skill = None
self.next_level = None
self.prev_level = None
def __repr__(self):
return "<{class_name}: '{full_name}'>".format(
class_name=type(self).__name__,
full_name=self.full_name()
... | class Level:
| def __init__(self, name):
self.name = name
self.skill = None
self.next_level = None
self.prev_level = None
def __repr__(self):
return "<{class_name}: '{full_name}'>".format(
class_name=type(self).__name__,
full_name=self.full_name()
)
... | _level = last_level
last_level = level
class Skill(NamedList):
def __init__(self, name, levels):
super().__init__([level.name for level in levels], levels)
self.name = name
for level in levels:
level.skill = self
class Level:
| 64 | 64 | 134 | 3 | 60 | e-leclercq/git-gud | gitgud/skills/util.py | Python | Level | Level | 262 | 288 | 262 | 262 | d4251fea6cfc533419f36b0e3017bd1f33fdee2b | bigcode/the-stack | train |
613dab7f2961e488c040a87d | train | function | def test_skill(skill, test):
# We don't know the names of merges, so we match them with their test names
# TODO Only works when merges don't have other merges as parents
# TODO Topological sort merge commits
skill = deepcopy(skill)
merge_name_map = {}
for commit_name in skill['commits']:
... | def test_skill(skill, test):
# We don't know the names of merges, so we match them with their test names
# TODO Only works when merges don't have other merges as parents
# TODO Topological sort merge commits
| skill = deepcopy(skill)
merge_name_map = {}
for commit_name in skill['commits']:
skill_commit = skill['commits'][commit_name]
if len(skill_commit['parents']) >= 2: # TODO Stop here to get list of merges
for test_commit_name in test['commits']: # TODO Do this iteration in an int... | level['topology'].append(commit_name)
level['commits'][commit_name] = {
'parents': parents,
'id': commit_name
}
all_branches.extend(branches_here)
all_tags.extend(tags_here)
for branch in branches_here:
level['branches'][branch] = {
... | 188 | 188 | 628 | 49 | 138 | e-leclercq/git-gud | gitgud/skills/util.py | Python | test_skill | test_skill | 125 | 193 | 125 | 128 | 71a00c541febdada61be295061c56d533e1376b7 | bigcode/the-stack | train |
d5cf7cac2b4e1ee9ab0dd47b | train | class | class NamedList:
# names is a list populated with type str, items is a list populated with any type
def __init__(self, names, items):
assert len(names) == len(items)
self._name_dict = {name: index for index, name in enumerate(names)}
self._items = items
def __getitem__(self, qu... | class NamedList:
# names is a list populated with type str, items is a list populated with any type
| def __init__(self, names, items):
assert len(names) == len(items)
self._name_dict = {name: index for index, name in enumerate(names)}
self._items = items
def __getitem__(self, query):
if isinstance(query, str):
if query.isnumeric():
if 0 < int(que... | _name not in skill['tags']:
return False
if skill['tags'][tag_name]['target'] != test['tags'][tag_name]['target']:
return False
# Check HEAD
if skill['HEAD']['target'] != test['HEAD']['target']:
return False
return True
class NamedList:
# names is a list populat... | 88 | 88 | 294 | 24 | 63 | e-leclercq/git-gud | gitgud/skills/util.py | Python | NamedList | NamedList | 196 | 236 | 196 | 197 | 9930d0a1349edd0d743f800d5f1e4a67daa53b94 | bigcode/the-stack | train |
13379d12c04f5229f41c65ca | train | class | class BasicLevel(Level):
def __init__(self, name, path):
super().__init__(name)
self.path = path
self.setup_spec_path = os.path.join(self.path, 'setup.spec')
self.instructions_path = os.path.join(self.path, 'instructions.txt')
self.goal_path = os.path.join(self.path, 'goal.tx... | class BasicLevel(Level):
| def __init__(self, name, path):
super().__init__(name)
self.path = path
self.setup_spec_path = os.path.join(self.path, 'setup.spec')
self.instructions_path = os.path.join(self.path, 'instructions.txt')
self.goal_path = os.path.join(self.path, 'goal.txt')
self.test_spe... | repr__(self):
return "<{class_name}: '{full_name}'>".format(
class_name=type(self).__name__,
full_name=self.full_name()
)
def full_name(self):
return '{} {}'.format(self.skill.name, self.name)
def setup(self, file_operator):
pass
def instructions(se... | 179 | 180 | 603 | 5 | 174 | e-leclercq/git-gud | gitgud/skills/util.py | Python | BasicLevel | BasicLevel | 301 | 379 | 301 | 301 | b09b347299f0d7e1757212f6ec1c1c752162a66a | bigcode/the-stack | train |
41683afa722da48e5dd1971d | train | function | def print_all_complete():
print("Wow! You've complete every level, congratulations!")
print("If you want to keep learning git, why not try contributing"
" to git-gud by forking the project at https://github.com/benthayer/git-gud/")
print("We're always looking for contributions and are more than"... | def print_all_complete():
| print("Wow! You've complete every level, congratulations!")
print("If you want to keep learning git, why not try contributing"
" to git-gud by forking the project at https://github.com/benthayer/git-gud/")
print("We're always looking for contributions and are more than"
" happy to acce... | ()
)
def full_name(self):
return '{} {}'.format(self.skill.name, self.name)
def setup(self, file_operator):
pass
def instructions(self):
pass
def goal(self):
pass
def test(self, file_operator):
pass
def print_all_complete():
| 64 | 64 | 81 | 5 | 58 | e-leclercq/git-gud | gitgud/skills/util.py | Python | print_all_complete | print_all_complete | 291 | 298 | 291 | 291 | adeb10147c5569aca74b74607ee6ce4405d2dd36 | bigcode/the-stack | train |
f5afe6cc9c6a8dc7b3266508 | train | class | class AllSkills(NamedList):
def __init__(self, skills):
super().__init__([skill.name for skill in skills], skills)
last_level = None
for skill in self:
for level in skill:
if last_level is not None:
last_level.next_level = level
... | class AllSkills(NamedList):
| def __init__(self, skills):
super().__init__([skill.name for skill in skills], skills)
last_level = None
for skill in self:
for level in skill:
if last_level is not None:
last_level.next_level = level
level.prev_level = last_lev... | (self):
return self._items
def keys(self):
set_indices = { str(i) for i in range(1, len(self) + 1) }
set_names = set(self._name_dict.keys())
return set_indices | set_names
class AllSkills(NamedList):
| 62 | 64 | 79 | 7 | 54 | e-leclercq/git-gud | gitgud/skills/util.py | Python | AllSkills | AllSkills | 240 | 249 | 240 | 240 | d63b2b1b9148414611d0bc72df4b6eed2e1e5c1f | bigcode/the-stack | train |
fc7cd0e525fe7693e2508c23 | train | class | class Skill(NamedList):
def __init__(self, name, levels):
super().__init__([level.name for level in levels], levels)
self.name = name
for level in levels:
level.skill = self
| class Skill(NamedList):
| def __init__(self, name, levels):
super().__init__([level.name for level in levels], levels)
self.name = name
for level in levels:
level.skill = self
| ([skill.name for skill in skills], skills)
last_level = None
for skill in self:
for level in skill:
if last_level is not None:
last_level.next_level = level
level.prev_level = last_level
last_level = level
class Skill(NamedL... | 64 | 64 | 50 | 6 | 57 | e-leclercq/git-gud | gitgud/skills/util.py | Python | Skill | Skill | 253 | 259 | 253 | 253 | ebf61731ff4eb93eee3a54e85387b78f156b6b57 | bigcode/the-stack | train |
6658c484043ebe92650837f7 | train | class | class Pcc(Base):
"""Pcep Session (Device) level Configuration
The Pcc class encapsulates a list of pcc resources that are managed by the user.
A list of resources can be retrieved from the server using the Pcc.find() method.
The list can be managed by using the Pcc.add() and Pcc.remove() methods.
... | class Pcc(Base):
| """Pcep Session (Device) level Configuration
The Pcc class encapsulates a list of pcc resources that are managed by the user.
A list of resources can be retrieved from the server using the Pcc.find() method.
The list can be managed by using the Pcc.add() and Pcc.remove() methods.
"""
__sl... | Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publ... | 256 | 256 | 12,741 | 5 | 250 | rfrye-github/ixnetwork_restpy | ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/pcc_9346785b55d17399fecd6fe36c418219.py | Python | Pcc | Pcc | 26 | 1,173 | 26 | 26 | 95f242721cb5b419ed48bafb1ed5bf68813ff6db | bigcode/the-stack | train |
c9be2b75072a68c1a7b72b34 | train | function | def test_confirm_destructive_query_notty():
stdin = click.get_text_stream('stdin')
assert stdin.isatty() is False
sql = 'drop database foo;'
assert confirm_destructive_query(sql) is None
| def test_confirm_destructive_query_notty():
| stdin = click.get_text_stream('stdin')
assert stdin.isatty() is False
sql = 'drop database foo;'
assert confirm_destructive_query(sql) is None
| # -*- coding: utf-8 -*-
import click
from pgcli.packages.prompt_utils import confirm_destructive_query
def test_confirm_destructive_query_notty():
| 34 | 64 | 49 | 9 | 24 | akshay-joshi/pgcli | tests/test_prompt_utils.py | Python | test_confirm_destructive_query_notty | test_confirm_destructive_query_notty | 9 | 14 | 9 | 9 | 6c375494410e3fee49d553244508a0ff38675d80 | bigcode/the-stack | train |
2dc16c02b474294f07ce52dc | train | function | def test_mount_nfs_failure(mocker):
_mock_popen(mocker, returncode=1)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
with pytest.raises(SystemExit) as ex:
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
assert 0 != ex.value.code
ut... | def test_mount_nfs_failure(mocker):
| _mock_popen(mocker, returncode=1)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
with pytest.raises(SystemExit) as ex:
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
assert 0 != ex.value.code
utils.assert_not_called(optimize_reada... |
args = args[0]
assert DNS_NAME not in args[NFS_MOUNT_PATH_IDX]
assert '127.0.0.1' in args[NFS_MOUNT_PATH_IDX]
utils.assert_called_once(optimize_readahead_window_mock)
def test_mount_nfs_failure(mocker):
| 64 | 64 | 94 | 9 | 55 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_failure | test_mount_nfs_failure | 104 | 113 | 104 | 104 | 21c35a986a9e4f0d1f47320b8715315f7c72d0e1 | bigcode/the-stack | train |
6fc3565121ed186ed0d53f56 | train | function | def test_mount_nfs_tls_macos(mocker):
mock = _mock_popen(mocker)
mocker.patch('mount_efs.check_if_platform_is_mac', return_value=True)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
DEFAULT_OPTIONS['nfsvers'] = 4.0
options = dict(DEFAULT_OPTIONS)
options['tl... | def test_mount_nfs_tls_macos(mocker):
| mock = _mock_popen(mocker)
mocker.patch('mount_efs.check_if_platform_is_mac', return_value=True)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
DEFAULT_OPTIONS['nfsvers'] = 4.0
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
mount_efs.mount_nfs(CO... | [0]
assert '/sbin/mount_nfs' == args[NFS_BIN_ARG_IDX]
assert DNS_NAME in args[-2]
assert '/mnt' == args[-1]
utils.assert_called_once(optimize_readahead_window_mock)
def test_mount_nfs_tls_macos(mocker):
| 64 | 64 | 174 | 11 | 53 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_tls_macos | test_mount_nfs_tls_macos | 171 | 187 | 171 | 171 | df7ae0a5c30e32180f2c91e6e3eee8583d7ba7de | bigcode/the-stack | train |
14ceb2cd153bb5b749640c4b | train | function | def test_mount_nfs_tls(mocker):
mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', options)
args, _ = mock.call_args
args =... | def test_mount_nfs_tls(mocker):
| mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', options)
args, _ = mock.call_args
args = args[0]
assert DNS_NAME no... | assert DNS_NAME not in args[NFS_MOUNT_PATH_IDX]
assert FALLBACK_IP_ADDRESS in args[NFS_MOUNT_PATH_IDX]
assert '/mnt' == args[NFS_MOUNT_POINT_IDX]
utils.assert_called_once(optimize_readahead_window_mock)
def test_mount_nfs_tls(mocker):
| 64 | 64 | 136 | 9 | 55 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_tls | test_mount_nfs_tls | 86 | 101 | 86 | 86 | a8ce97dc14e6d409a3a705e1058242b6d3bd0cac | bigcode/the-stack | train |
7b19d900e0303e4c1403e283 | train | function | def test_mount_tls_mountpoint_mounted_with_nfs(mocker, capsys):
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
bootstrap_tls_mock = mocker.patch('mount_efs.bootstrap_tls')
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mocker.patch('os.path.ismount', ret... | def test_mount_tls_mountpoint_mounted_with_nfs(mocker, capsys):
| options = dict(DEFAULT_OPTIONS)
options['tls'] = None
bootstrap_tls_mock = mocker.patch('mount_efs.bootstrap_tls')
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mocker.patch('os.path.ismount', return_value=True)
_mock_popen(mocker, stdout='nfs')
mount_... | args[NFS_MOUNT_PATH_IDX + NETNS_NFS_OFFSET]
assert '/mnt' in args[NFS_MOUNT_POINT_IDX + NETNS_NFS_OFFSET]
utils.assert_called_once(optimize_readahead_window_mock)
def test_mount_tls_mountpoint_mounted_with_nfs(mocker, capsys):
| 64 | 64 | 165 | 17 | 47 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_tls_mountpoint_mounted_with_nfs | test_mount_tls_mountpoint_mounted_with_nfs | 139 | 152 | 139 | 139 | b40123afe1b7c16a210c22759b4d277570ce23f9 | bigcode/the-stack | train |
f8b6d1d4786bdf26732bc01f | train | function | def test_mount_nfs(mocker):
mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
args, _ = mock.call_args
args = args[0]
assert '/sbin/mount.nfs4' == args[NFS_BIN_ARG... | def test_mount_nfs(mocker):
| mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
args, _ = mock.call_args
args = args[0]
assert '/sbin/mount.nfs4' == args[NFS_BIN_ARG_IDX]
assert DNS_NAME in... | ='stdout', stderr='stderr'):
popen_mock = MagicMock()
popen_mock.communicate.return_value = (stdout, stderr, )
popen_mock.returncode = returncode
return mocker.patch('subprocess.Popen', return_value=popen_mock)
def test_mount_nfs(mocker):
| 64 | 64 | 133 | 8 | 56 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs | test_mount_nfs | 53 | 66 | 53 | 53 | 4f68687e252b7abc583ffa8071acb3b213e541b9 | bigcode/the-stack | train |
ad3e9776348db09409c8bfc9 | train | function | def _mock_popen(mocker, returncode=0, stdout='stdout', stderr='stderr'):
popen_mock = MagicMock()
popen_mock.communicate.return_value = (stdout, stderr, )
popen_mock.returncode = returncode
return mocker.patch('subprocess.Popen', return_value=popen_mock)
| def _mock_popen(mocker, returncode=0, stdout='stdout', stderr='stderr'):
| popen_mock = MagicMock()
popen_mock.communicate.return_value = (stdout, stderr, )
popen_mock.returncode = returncode
return mocker.patch('subprocess.Popen', return_value=popen_mock)
| to the NFS call for MACOS
NFS_MOUNT_PATH_IDX_MACOS = -2
NFS_MOUNT_POINT_IDX_MACOS = -1
NETNS = '/proc/1/net/ns'
def _mock_popen(mocker, returncode=0, stdout='stdout', stderr='stderr'):
| 64 | 64 | 70 | 21 | 43 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | _mock_popen | _mock_popen | 45 | 50 | 45 | 45 | 3130499c17d780ca9300d08a89a80daf18884f1d | bigcode/the-stack | train |
664a637f70dbd7cd6b33aaee | train | function | def test_mount_nfs_with_fallback_ip_address(mocker):
mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS, fallback_ip_address=FALLBACK_IP_ADDRESS)
args, _ = mock.call_args
... | def test_mount_nfs_with_fallback_ip_address(mocker):
| mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS, fallback_ip_address=FALLBACK_IP_ADDRESS)
args, _ = mock.call_args
args = args[0]
assert '/sbin/mount.nfs4' == arg... | fs4' == args[NFS_BIN_ARG_IDX]
assert DNS_NAME in args[NFS_MOUNT_PATH_IDX]
assert '/mnt' == args[NFS_MOUNT_POINT_IDX]
utils.assert_called_once(optimize_readahead_window_mock)
def test_mount_nfs_with_fallback_ip_address(mocker):
| 64 | 64 | 164 | 13 | 51 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_with_fallback_ip_address | test_mount_nfs_with_fallback_ip_address | 69 | 83 | 69 | 69 | 23c1d168dc30df5dcf1940d3f43f1eb9b15f47ea | bigcode/the-stack | train |
86bf7f33fca18793cff7cd20 | train | function | def test_mount_nfs_macos(mocker):
mock = _mock_popen(mocker)
mocker.patch('mount_efs.check_if_platform_is_mac', return_value=True)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
DEFAULT_OPTIONS['nfsvers'] = 4.0
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', ... | def test_mount_nfs_macos(mocker):
| mock = _mock_popen(mocker)
mocker.patch('mount_efs.check_if_platform_is_mac', return_value=True)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
DEFAULT_OPTIONS['nfsvers'] = 4.0
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
args, _ = mo... | , FS_ID, MOUNT_POINT, options)
out, err = capsys.readouterr()
assert 'is already mounted' in out
utils.assert_not_called(bootstrap_tls_mock)
utils.assert_not_called(optimize_readahead_window_mock)
def test_mount_nfs_macos(mocker):
| 64 | 64 | 158 | 10 | 54 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_macos | test_mount_nfs_macos | 155 | 169 | 155 | 155 | 967180964bad7476e988ef207d7c922fd593d71a | bigcode/the-stack | train |
abdc5abbf6284ce1d0ad81b7 | train | function | def test_mount_nfs_tls_netns(mocker):
mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
options['netns'] = NETNS
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', options)
... | def test_mount_nfs_tls_netns(mocker):
| mock = _mock_popen(mocker)
optimize_readahead_window_mock = mocker.patch('mount_efs.optimize_readahead_window')
options = dict(DEFAULT_OPTIONS)
options['tls'] = None
options['netns'] = NETNS
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', options)
args, _ = mock.call_args
args = ar... | mount_efs.optimize_readahead_window')
with pytest.raises(SystemExit) as ex:
mount_efs.mount_nfs(CONFIG, DNS_NAME, '/', '/mnt', DEFAULT_OPTIONS)
assert 0 != ex.value.code
utils.assert_not_called(optimize_readahead_window_mock)
def test_mount_nfs_tls_netns(mocker):
| 71 | 71 | 238 | 11 | 60 | openshift-bot/aws-efs-utils | test/mount_efs_test/test_mount_nfs.py | Python | test_mount_nfs_tls_netns | test_mount_nfs_tls_netns | 116 | 136 | 116 | 116 | 399fb0cd69aa2141f3741d7a6c8f67f480e3be0d | bigcode/the-stack | train |
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