text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: grtzsohalf/SpeechNet-codebase path: /bin/se/evaluation.py
import numpy as np
from pesq import pesq
from pystoi import stoi
def sisdr_eval(src, tar, sr=16000, eps=1e-10):
alpha = (src * tar).sum() / ((tar * tar).sum() + eps)
ay = alpha * tar
norm = ((ay - src) * (ay - src)).sum() + ep... | code_fim | hard | {
"lang": "python",
"repo": "grtzsohalf/SpeechNet-codebase",
"path": "/bin/se/evaluation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def stoi_eval(src, tar, sr=16000):
src, tar = src.numpy(), tar.numpy()
assert src.ndim == 1 and tar.ndim == 1
return stoi(tar, src, sr, extended=False)
def estoi_eval(src, tar, sr=16000):
src, tar = src.numpy(), tar.numpy()
assert src.ndim == 1 and tar.ndim == 1
return stoi(tar, s... | code_fim | hard | {
"lang": "python",
"repo": "grtzsohalf/SpeechNet-codebase",
"path": "/bin/se/evaluation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if family not in features:
features[family] = list()
l = features.get(family)
l.append(feature_vec)
best_accuracy = fitting_scoring(features)
output[(p1, p2)] = best_accuracy
output = dict... | code_fim | hard | {
"lang": "python",
"repo": "skycckk/Malware-Image-Analysis",
"path": "/src/param_tuning.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skycckk/Malware-Image-Analysis path: /src/param_tuning.py
from collections import OrderedDict
from extract_features import *
from load_images import *
from malware_image_train import fitting_scoring
__author__ = "Wei-Chung Huang"
__copyright__ = "Copyright 2018, The SJSU MSCS Master project"
__l... | code_fim | hard | {
"lang": "python",
"repo": "skycckk/Malware-Image-Analysis",
"path": "/src/param_tuning.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MinniFlo/curpysnake path: /src/Color.py
import curses
import random
class Color:
def __init__(self, color_num):
color_255 = 1000
color_0 = 392
color_224 = 878
color_191 = 749
color_128 = 502
curses.use_default_colors()
curses.init_co... | code_fim | hard | {
"lang": "python",
"repo": "MinniFlo/curpysnake",
"path": "/src/Color.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def red_green_color(self):
if self.color_cycle == 0:
if not self.map_reverse:
self.color_num += 1
if self.color_num == 8:
self.map_reverse = True
else:
self.color_num -= 1
if self.color_... | code_fim | hard | {
"lang": "python",
"repo": "MinniFlo/curpysnake",
"path": "/src/Color.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Avocado-Network/avocado-blockchain path: /avocado/protocols/wallet_protocol.py
from dataclasses import dataclass
from typing import List, Optional, Tuple
from avocado.types.blockchain_format.coin import Coin
from avocado.types.blockchain_format.program import Program
from avocado.types.blockchai... | code_fim | hard | {
"lang": "python",
"repo": "Avocado-Network/avocado-blockchain",
"path": "/avocado/protocols/wallet_protocol.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>@dataclass(frozen=True)
@streamable
class RequestHeaderBlocks(Streamable):
start_height: uint32
end_height: uint32
@dataclass(frozen=True)
@streamable
class RejectHeaderBlocks(Streamable):
start_height: uint32
end_height: uint32
@dataclass(frozen=True)
@streamable
class RespondHeaderBl... | code_fim | hard | {
"lang": "python",
"repo": "Avocado-Network/avocado-blockchain",
"path": "/avocado/protocols/wallet_protocol.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def reparameterize(self, mean, logvar):
eps = tf.random.normal(shape=mean.shape)
return eps * tf.exp(logvar * .5) + mean
def decode(self, z, apply_sigmoid=False):
logits = self.generative_net(z)
if apply_sigmoid:
probs = tf.sigmoid(logits)
r... | code_fim | hard | {
"lang": "python",
"repo": "MalloryWittwer/super_tomo_py",
"path": "/models/autoencoder/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MalloryWittwer/super_tomo_py path: /models/autoencoder/models.py
import tensorflow as tf
import os
import time
import numpy as np
import glob
class CVAE(tf.keras.Model):
def __init__(self, latent_dim, input_data):
'''
Initialise the convolutional autoencoder
Paramete... | code_fim | hard | {
"lang": "python",
"repo": "MalloryWittwer/super_tomo_py",
"path": "/models/autoencoder/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> logits = self.generative_net(z)
if apply_sigmoid:
probs = tf.sigmoid(logits)
return probs
return logits
@tf.function
def compute_loss(model, x, y, sigmoid=False):
mean, logvar = model.encode(x)
z = model.reparameterize(mean, logvar)
x_logit = m... | code_fim | hard | {
"lang": "python",
"repo": "MalloryWittwer/super_tomo_py",
"path": "/models/autoencoder/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ctd_data = plot_data.ctd_data
qaqc_mask = ctd_data.salinity.attrs["qaqcFlag"] == 1
ax.plot(
ctd_data.temperature.sampleTime[qaqc_mask],
ctd_data.temperature[qaqc_mask],
linewidth=2,
label="Observations",
color=theme.COLOURS["time series"]["VENUS CTD temp... | code_fim | hard | {
"lang": "python",
"repo": "SalishSeaCast/SalishSeaNowcast",
"path": "/nowcast/figures/comparison/compare_venus_ctd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _plot_temperature_time_series(ax, plot_data, timezone, theme):
ctd_data = plot_data.ctd_data
qaqc_mask = ctd_data.salinity.attrs["qaqcFlag"] == 1
ax.plot(
ctd_data.temperature.sampleTime[qaqc_mask],
ctd_data.temperature[qaqc_mask],
linewidth=2,
label="Obser... | code_fim | hard | {
"lang": "python",
"repo": "SalishSeaCast/SalishSeaNowcast",
"path": "/nowcast/figures/comparison/compare_venus_ctd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SalishSeaCast/SalishSeaNowcast path: /nowcast/figures/comparison/compare_venus_ctd.py
# Copyright 2013 – present by the SalishSeaCast Project contributors
# and The University of British Columbia
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file e... | code_fim | hard | {
"lang": "python",
"repo": "SalishSeaCast/SalishSeaNowcast",
"path": "/nowcast/figures/comparison/compare_venus_ctd.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ggozad/petmail path: /petmail/node.py
import json
from twisted.application import service
from . import database, web
class Node(service.MultiService):
def __init__(self, basedir, dbfile):
service.MultiService.__init__(self)
self.basedir = basedir
self.dbfile = dbfile... | code_fim | medium | {
"lang": "python",
"repo": "ggozad/petmail",
"path": "/petmail/node.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> from .mailbox.server import HTTPMailboxServer
# TODO: learn/be-told our IP addr/hostname
c = self.db.execute("SELECT * FROM mailbox_server_config")
row = c.fetchone()
s = HTTPMailboxServer(self.web, bool(row["enable_retrieval"]),
json.l... | code_fim | medium | {
"lang": "python",
"repo": "ggozad/petmail",
"path": "/petmail/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def init_webport(self):
self.web = web.WebPort(self.basedir, self)
self.web.setServiceParent(self)
def init_mailbox_server(self):
from .mailbox.server import HTTPMailboxServer
# TODO: learn/be-told our IP addr/hostname
c = self.db.execute("SELECT * FROM mai... | code_fim | hard | {
"lang": "python",
"repo": "ggozad/petmail",
"path": "/petmail/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arukakibay/ADM-HW1 path: /MapLambdaFunction.py
cube = lambda x: pow(x,3)
def fibonacci(n):
#<|fim_suffix|>d(listt[i-2] + listt[i-1])
return(listt[0:n])<|fim_middle|> return a list of fibonacci numbers
listt = [0,1]
for i in range(2,n):
listt.appen | code_fim | medium | {
"lang": "python",
"repo": "arukakibay/ADM-HW1",
"path": "/MapLambdaFunction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>d(listt[i-2] + listt[i-1])
return(listt[0:n])<|fim_prefix|># repo: arukakibay/ADM-HW1 path: /MapLambdaFunction.py
cube = lambda x: pow(x,3)
def fibonacci(n):
#<|fim_middle|> return a list of fibonacci numbers
listt = [0,1]
for i in range(2,n):
listt.appen | code_fim | medium | {
"lang": "python",
"repo": "arukakibay/ADM-HW1",
"path": "/MapLambdaFunction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> integer")
else:
print(str(n) + "! =", fact(n))<|fim_prefix|># repo: saranshbht/bsc-codes path: /semester-6/Python Practice/fact.py
def fact(n):
if n == 0:
return 1
<|fim_middle|>return n * fact(n - 1)
n = int(input("Enter a number: "))
if n < 0:
print("Enter a non-negative | code_fim | medium | {
"lang": "python",
"repo": "saranshbht/bsc-codes",
"path": "/semester-6/Python Practice/fact.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saranshbht/bsc-codes path: /semester-6/Python Practice/fact.py
def fact(n):
if n == 0:
return 1
return n * fact(n - 1)
n = int(input("Enter a num<|fim_suffix|> integer")
else:
print(str(n) + "! =", fact(n))<|fim_middle|>ber: "))
if n < 0:
print("Enter a non-negative | code_fim | easy | {
"lang": "python",
"repo": "saranshbht/bsc-codes",
"path": "/semester-6/Python Practice/fact.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.train = train
self.validation = validation
self.test = test<|fim_prefix|># repo: KipperPipper/Library_test path: /toai/data/DataContainer.py
from typing import Any
class DataContainer:
<|fim_middle|> def __init__(self, train: Any, validation: Any, test: Any):
| code_fim | medium | {
"lang": "python",
"repo": "KipperPipper/Library_test",
"path": "/toai/data/DataContainer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KipperPipper/Library_test path: /toai/data/DataContainer.py
from typing import Any
<|fim_suffix|> def __init__(self, train: Any, validation: Any, test: Any):
self.train = train
self.validation = validation
self.test = test<|fim_middle|>
class DataContainer:
| code_fim | easy | {
"lang": "python",
"repo": "KipperPipper/Library_test",
"path": "/toai/data/DataContainer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noodlesz/fedclean_implementation path: /blockchainAPI/credentials.py
import json
with open("my_abi.json") as f:
info_json = json.load(f)
req_abi = info_json["abi"]
<|fim_suffix|>state_abi = info_json["abi"]
#driver
if __name__ == "__main__":
print(req_abi)
print(state_abi)<|fim_middle|>wi... | code_fim | medium | {
"lang": "python",
"repo": "noodlesz/fedclean_implementation",
"path": "/blockchainAPI/credentials.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#driver
if __name__ == "__main__":
print(req_abi)
print(state_abi)<|fim_prefix|># repo: noodlesz/fedclean_implementation path: /blockchainAPI/credentials.py
import json
with open("my_abi.json") as f:
info_json = json.load(f)
req_abi = info_json["abi"]
<|fim_middle|>with open("state_abi.json") as g... | code_fim | medium | {
"lang": "python",
"repo": "noodlesz/fedclean_implementation",
"path": "/blockchainAPI/credentials.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ro9ueAdmin/django-orchestra path: /orchestra/contrib/orders/billing.py
from django.utils.translation import ugettext_lazy as _
from orchestra.contrib.bills.models import Invoice, Fee, ProForma
class BillsBackend(object):
def create_bills(self, account, lines, **options):
bill = Non... | code_fim | hard | {
"lang": "python",
"repo": "Ro9ueAdmin/django-orchestra",
"path": "/orchestra/contrib/orders/billing.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> metric = format(line.metric, '.2f').rstrip('0').rstrip('.')
metric = metric.strip('0').strip('.')
size = format(line.size, '.2f').rstrip('0').rstrip('.')
size = size.strip('0').strip('.')
if metric == '1':
return size
if size == '1':
... | code_fim | hard | {
"lang": "python",
"repo": "Ro9ueAdmin/django-orchestra",
"path": "/orchestra/contrib/orders/billing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@require(lambda identifier: re.match(r'^[FB]{7}[LR]{3}\Z', identifier))
@ensure(lambda result: 0 <= result[0] <= 127)
@ensure(lambda result: 0 <= result[1] <= 8)
def determine_row_and_column(identifier: str) -> Tuple[int, int]:
row_identifier = identifier[:7]
column_identifier = identifier[7:]
... | code_fim | hard | {
"lang": "python",
"repo": "LaurenDebruyn/aocdbc",
"path": "/recorded_failures/aoc2020/day_5_binary_boarding/broken_step.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LaurenDebruyn/aocdbc path: /recorded_failures/aoc2020/day_5_binary_boarding/broken_step.py
import re
from typing import Tuple
from icontract import require, ensure
# crosshair: on
@require(lambda first, last: (last - first + 1) % 2 == 0, "Range always divisible by 2")
@require(lambda first, l... | code_fim | hard | {
"lang": "python",
"repo": "LaurenDebruyn/aocdbc",
"path": "/recorded_failures/aoc2020/day_5_binary_boarding/broken_step.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> in file(sys.argv[1], 'r')]
acc = 0
for a, b in zip(pred, test):
acc += abs(a - b)
print "%.4f" % (acc / float(len(pred)))<|fim_prefix|># repo: rozim/KaggleFindingElo path: /xg-score.py
import sys
pred = [float(line) for line in file('<|fim_middle|>pred.txt').readlines()]
test = [float... | code_fim | medium | {
"lang": "python",
"repo": "rozim/KaggleFindingElo",
"path": "/xg-score.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rozim/KaggleFindingElo path: /xg-score.py
import sys
pred = [float(line) for line in file('<|fim_suffix|>):
acc += abs(a - b)
print "%.4f" % (acc / float(len(pred)))<|fim_middle|>pred.txt').readlines()]
test = [float(line.split()[0]) for line in file(sys.argv[1], 'r')]
acc = 0
... | code_fim | medium | {
"lang": "python",
"repo": "rozim/KaggleFindingElo",
"path": "/xg-score.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for p in processes:
p.join()
env_names = ['InvertedPendulum-v2', 'HalfCheetah-v2']
folder_names = []
for env_name in env_names:
pattern = re.compile('ac_10_10_' + env_name + '.*')
matching_folders = [os.path.join(data_folder,a) for a in os.listdir(base_folder) if pattern.search(a) is not Non... | code_fim | medium | {
"lang": "python",
"repo": "hsilva664/CS-294-112-Fall-2018-HW-solutions",
"path": "/hw3/ac_q2_run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hsilva664/CS-294-112-Fall-2018-HW-solutions path: /hw3/ac_q2_run.py
import os
from multiprocessing import Process, Lock
import re
base_folder = 'code/data'
data_folder = 'data'
system_code = [ 'cd code && python3 train_ac_f18.py InvertedPendulum-v2 -ep 1000 --discount 0.95 -n 100 -l 2 -s 64 -b ... | code_fim | hard | {
"lang": "python",
"repo": "hsilva664/CS-294-112-Fall-2018-HW-solutions",
"path": "/hw3/ac_q2_run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timvink/mkdocs-add-number-plugin path: /tests/test_markdown.py
from mkdocs_add_number_plugin import markdown
page1 = """
# Example page
some content
## another heading
<|fim_suffix|>def test_headings():
lines = page1.split('\n')
assert markdown.headings(lines) == {
1: '# Examp... | code_fim | medium | {
"lang": "python",
"repo": "timvink/mkdocs-add-number-plugin",
"path": "/tests/test_markdown.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>bla
### another sub heading
## Another section
"""
def test_headings():
lines = page1.split('\n')
assert markdown.headings(lines) == {
1: '# Example page',
5: '## another heading',
9: '## Some section',
14: '### sub heading',
18: '### another sub heading'... | code_fim | medium | {
"lang": "python",
"repo": "timvink/mkdocs-add-number-plugin",
"path": "/tests/test_markdown.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: walkccc/LeetCode path: /solutions/1184. Distance Between Bus Stops/1184.py
class Solution:
def distanceBetweenBusStops(self, distance: List[int], start: int, destination: int) -> int:
clockwise = 0
counterclockwise = 0
<|fim_suffix|> for i, d in enumerate(distance):
if i >= st... | code_fim | medium | {
"lang": "python",
"repo": "walkccc/LeetCode",
"path": "/solutions/1184. Distance Between Bus Stops/1184.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if start > destination:
start, destination = destination, start
for i, d in enumerate(distance):
if i >= start and i < destination:
clockwise += d
else:
counterclockwise += d
return min(clockwise, counterclockwise)<|fim_prefix|># repo: walkccc/LeetCode path... | code_fim | easy | {
"lang": "python",
"repo": "walkccc/LeetCode",
"path": "/solutions/1184. Distance Between Bus Stops/1184.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-google-native path: /sdk/python/pulumi_google_native/essentialcontacts/v1/get_folder_contact.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-google-native",
"path": "/sdk/python/pulumi_google_native/essentialcontacts/v1/get_folder_contact.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_folder_contact(contact_id: Optional[str] = None,
folder_id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetFolderContactResult:
"""
Gets a single contact.
"""
__args__ = dict()
__args__['contactId... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-google-native",
"path": "/sdk/python/pulumi_google_native/essentialcontacts/v1/get_folder_contact.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> query = logic.Relation('member', (x, list))
print 'Query:', query
print
logic.prolog_prove([query], db)<|fim_prefix|># repo: skynetshrugged/paip-python path: /paip/examples/logic/find_elements.py
import logging
from paip import logic
def main():
x = logic.Var('x')
y = logic.... | code_fim | hard | {
"lang": "python",
"repo": "skynetshrugged/paip-python",
"path": "/paip/examples/logic/find_elements.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> member_rest = logic.Clause(
logic.Relation('member', (x, logic.Relation('pair', (y, more)))),
[logic.Relation('member', (x, more))])
db = {}
logic.store(db, member_first)
logic.store(db, member_last)
logic.store(db, member_rest)
list = logic.Relation(
'pai... | code_fim | hard | {
"lang": "python",
"repo": "skynetshrugged/paip-python",
"path": "/paip/examples/logic/find_elements.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skynetshrugged/paip-python path: /paip/examples/logic/find_elements.py
import logging
from paip import logic
def main():
x = logic.Var('x')
y = logic.Var('y')
a = logic.Var('a')
nil = logic.Atom('nil')
more = logic.Var('more')
<|fim_suffix|> list = logic.Relation(
... | code_fim | hard | {
"lang": "python",
"repo": "skynetshrugged/paip-python",
"path": "/paip/examples/logic/find_elements.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tedye/leetcode path: /tools/leetcode.110.Balanced Binary Tree/leetcode.110.Balanced Binary Tree.submission7.py
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
<|fim_s... | code_fim | hard | {
"lang": "python",
"repo": "tedye/leetcode",
"path": "/tools/leetcode.110.Balanced Binary Tree/leetcode.110.Balanced Binary Tree.submission7.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if abs(hl[0]-hr[0]) > 1:
return False
else: return (l and r)<|fim_prefix|># repo: tedye/leetcode path: /tools/leetcode.110.Balanced Binary Tree/leetcode.110.Balanced Binary Tree.submission7.py
# Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
... | code_fim | hard | {
"lang": "python",
"repo": "tedye/leetcode",
"path": "/tools/leetcode.110.Balanced Binary Tree/leetcode.110.Balanced Binary Tree.submission7.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_dataproc_job_api(
dataproc_launcher: DataprocClusterLauncher, # noqa: F811
dataproc_retrieval_job_params: RetrievalJobParameters, # noqa: F811
):
job = dataproc_launcher.historical_feature_retrieval(dataproc_retrieval_job_params)
job_id = job.get_id()
retrieved_job = datapr... | code_fim | hard | {
"lang": "python",
"repo": "MinjaMiladinovic/feast",
"path": "/tests/integration/test_launchers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MinjaMiladinovic/feast path: /tests/integration/test_launchers.py
import time
from feast.pyspark.abc import RetrievalJobParameters, SparkJobStatus, SparkJob
from feast.pyspark.launchers.gcloud import DataprocClusterLauncher
from .fixtures.job_parameters import customer_entity # noqa: F401
from... | code_fim | medium | {
"lang": "python",
"repo": "MinjaMiladinovic/feast",
"path": "/tests/integration/test_launchers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cool-RR/python_toolbox path: /test_python_toolbox/test_temp_value_setting/test_temp_value_setter.py
# Copyright 2009-2017 Ram Rachum.
# This program is distributed under the MIT license.
'''Testing module for `python_toolbox.temp_value_setting.TempValueSetter`.'''
from python_toolbox import mis... | code_fim | hard | {
"lang": "python",
"repo": "cool-RR/python_toolbox",
"path": "/test_python_toolbox/test_temp_value_setting/test_temp_value_setter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Test `TempValueSetter` used as a decorator.'''
@misc_tools.set_attributes(x=1)
def a(): pass
@TempValueSetter((a, 'x'), 2)
def f():
assert a.x == 2
assert a.x == 1
f()
assert a.x == 1
cute_testing.assert_polite_wrapper(f)<|fim_prefix|># repo: cool-RR/pytho... | code_fim | hard | {
"lang": "python",
"repo": "cool-RR/python_toolbox",
"path": "/test_python_toolbox/test_temp_value_setting/test_temp_value_setter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @pytest.mark.parametrize("shards_per_day", [1,2,3])
def test_as_pipeline(self, temp_dir, shards_per_day):
file_path_base = temp_dir
# file_path_base = 'gs://paul-scratch/TestDatePartitionedSink_temp'
file_name_prefix = 'shard'
file_path_prefix = pp.join(file_path_b... | code_fim | hard | {
"lang": "python",
"repo": "GlobalFishingWatch/pipe-tools",
"path": "/tests/test_datepartitionedsink.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GlobalFishingWatch/pipe-tools path: /tests/test_datepartitionedsink.py
import posixpath as pp
import six
import pytest
from apache_beam.testing.test_pipeline import TestPipeline as _TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
from a... | code_fim | hard | {
"lang": "python",
"repo": "GlobalFishingWatch/pipe-tools",
"path": "/tests/test_datepartitionedsink.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if oprot.__class__ == TBinaryProtocol.TBinaryProtocolAccelerated and self.thrift_spec is not None and fastbinary is not None:
oprot.trans.write(fastbinary.encode_binary(self, (self.__class__, self.thrift_spec)))
return
oprot.writeStructBegin('deleteStreamById_args')
if self.session... | code_fim | hard | {
"lang": "python",
"repo": "nishadi/product-private-paas",
"path": "/components/org.wso2.ppaas.python.cartridge.agent/src/main/python/cartridge.agent/cartridge.agent/modules/databridge/thrift/gen/ThriftEventTransmissionService/ThriftEventTransmissionService.py",
"mode": "spm",
"license": "Apache-2.0",
"sou... |
<|fim_suffix|> args = publish_args()
args.read(iprot)
iprot.readMessageEnd()
result = publish_result()
try:
self._handler.publish(args.eventBundle)
except Exception.ttypes.ThriftUndefinedEventTypeException, ue:
result.ue = ue
except Exception.ttypes.ThriftSessionExpiredException, ... | code_fim | hard | {
"lang": "python",
"repo": "nishadi/product-private-paas",
"path": "/components/org.wso2.ppaas.python.cartridge.agent/src/main/python/cartridge.agent/cartridge.agent/modules/databridge/thrift/gen/ThriftEventTransmissionService/ThriftEventTransmissionService.py",
"mode": "spm",
"license": "Apache-2.0",
"sou... |
<|fim_prefix|># repo: johnrdowson/nornir_pyez path: /Tests/template_config.py
from nornir_pyez.plugins.tasks import pyez_config, pyez_diff, pyez_commit
import os
from nornir import InitNornir
from nornir.core.task import Task, Result
from nornir_utils.plugins.functions import print_result
from nornir_utils.plugins.tas... | code_fim | medium | {
"lang": "python",
"repo": "johnrdowson/nornir_pyez",
"path": "/Tests/template_config.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def template_config(task):
# retrieve data from groups.yml
data = {}
data['dns_server'] = task.host['dns_server']
data['ntp_server'] = task.host['ntp_server']
print(data)
response = task.run(
task=pyez_config, template_path='junos.j2', template_vars=data, data_format='set')... | code_fim | medium | {
"lang": "python",
"repo": "johnrdowson/nornir_pyez",
"path": "/Tests/template_config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, msg, response):
self.msg = msg
self.response = response
super(Exception, self)
class InvalidCredentialsError(Exception):
"""
Raised if none of the provided crendentials provide the correct
authorization
"""
pass<|fim_prefix|># repo: sean-... | code_fim | hard | {
"lang": "python",
"repo": "sean-abbott/artifactory_tool",
"path": "/artifactory_tool/exceptions.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sean-abbott/artifactory_tool path: /artifactory_tool/exceptions.py
# -*- coding: utf-8 -*-
class ConfigFetchError(Exception):
"""Raised when we were unable to fetch the config from the server
"""
def __init__(self, msg, response):
self.msg = msg
self.response = resp... | code_fim | hard | {
"lang": "python",
"repo": "sean-abbott/artifactory_tool",
"path": "/artifactory_tool/exceptions.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.msg = msg
self.response = response
super(Exception, self)
class InvalidCredentialsError(Exception):
"""
Raised if none of the provided crendentials provide the correct
authorization
"""
pass<|fim_prefix|># repo: sean-abbott/artifactory_tool path: /artifac... | code_fim | medium | {
"lang": "python",
"repo": "sean-abbott/artifactory_tool",
"path": "/artifactory_tool/exceptions.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
display.set_caption("Пинг-понг")
clock = time.clock()
FPS = 60
class GameSprite(sprite.Sprite):<|fim_prefix|># repo: boryskrolivets/ping-pong path: /ping pong.py
from pygame import*
win_height = 700
win_width=5<|fim_middle|>00
window = display.set_mode(win_width,win_height | code_fim | easy | {
"lang": "python",
"repo": "boryskrolivets/ping-pong",
"path": "/ping pong.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: boryskrolivets/ping-pong path: /ping pong.py
from pygame import*
win_height = 700
win_width=5<|fim_suffix|>)
display.set_caption("Пинг-понг")
clock = time.clock()
FPS = 60
class GameSprite(sprite.Sprite):<|fim_middle|>00
window = display.set_mode(win_width,win_height | code_fim | easy | {
"lang": "python",
"repo": "boryskrolivets/ping-pong",
"path": "/ping pong.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
sol = Solution()
input = [[7,0], [4,4], [7,1], [5,0], [6,1], [5,2]]
output = sol.reconstructQueue(input)
print("Res: ", output)<|fim_prefix|># repo: partho-maple/coding-interview-gym path: /leetcode.com/python/406_Queue_Reconstruction_by_Height.py
class Solution(object):
def reconstructQueue(self, ... | code_fim | hard | {
"lang": "python",
"repo": "partho-maple/coding-interview-gym",
"path": "/leetcode.com/python/406_Queue_Reconstruction_by_Height.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: partho-maple/coding-interview-gym path: /leetcode.com/python/406_Queue_Reconstruction_by_Height.py
class Solution(object):
def reconstructQueue(self, people):
<|fim_suffix|>
sol = Solution()
input = [[7,0], [4,4], [7,1], [5,0], [6,1], [5,2]]
output = sol.reconstructQueue(input)
print("Res: ... | code_fim | hard | {
"lang": "python",
"repo": "partho-maple/coding-interview-gym",
"path": "/leetcode.com/python/406_Queue_Reconstruction_by_Height.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>sol = Solution()
input = [[7,0], [4,4], [7,1], [5,0], [6,1], [5,2]]
output = sol.reconstructQueue(input)
print("Res: ", output)<|fim_prefix|># repo: partho-maple/coding-interview-gym path: /leetcode.com/python/406_Queue_Reconstruction_by_Height.py
class Solution(object):
def reconstructQueue(self, p... | code_fim | hard | {
"lang": "python",
"repo": "partho-maple/coding-interview-gym",
"path": "/leetcode.com/python/406_Queue_Reconstruction_by_Height.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def make_clipper(lims):
"""
Create a function that clips inputs into a closed box space.
Parameters
----------
lims : array_like
Array of lower and upper bounds to clip inputs to.
Returns
-------
function
Clipping function.
"""
lims = np.array(lim... | code_fim | hard | {
"lang": "python",
"repo": "rademacher-p/stats-learn",
"path": "/src/stats_learn/preprocessing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def make_clipper(lims):
"""
Create a function that clips inputs into a closed box space.
Parameters
----------
lims : array_like
Array of lower and upper bounds to clip inputs to.
Returns
-------
function
Clipping function.
"""
lims = np.array(li... | code_fim | hard | {
"lang": "python",
"repo": "rademacher-p/stats-learn",
"path": "/src/stats_learn/preprocessing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rademacher-p/stats-learn path: /src/stats_learn/preprocessing.py
"""Functions for preprocessing observations before training/prediction."""
import math
import numpy as np
from stats_learn.util import check_data_shape
def make_discretizer(vals): # TODO: use sklearn.preprocessing.KBinsDiscret... | code_fim | hard | {
"lang": "python",
"repo": "rademacher-p/stats-learn",
"path": "/src/stats_learn/preprocessing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def block_until_playing(self, media=None, timeout=None, **kwargs):
"""Block until media is playing, typically useful in a script.
Another way to do the same is to check if the
controller is_active or by using self.status.player_state.
Args:
media (None, op... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant-libs/pychromecast",
"path": "/pychromecast/controllers/plex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant-libs/pychromecast path: /pychromecast/controllers/plex.py
one,
username=None,
autoplay=True,
currentTime=0,
playQueue=None,
playQueueID=None,
startItem=None,
version="1.10.1.4602",
**kwargs,
): # pylint: disable=invalid-name, too-many-locals, protec... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant-libs/pychromecast",
"path": "/pychromecast/controllers/plex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant-libs/pychromecast path: /pychromecast/controllers/plex.py
Audio=True,
isVerifiedHostname=True,
contentType="video",
myPlexSubscription=True,
contentId=None,
streamType=STREAM_TYPE_BUFFERED,
port=32400,
protocol="http",
address=None,
username=None... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant-libs/pychromecast",
"path": "/pychromecast/controllers/plex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fgs.AddGrowableCol(0)
fgs.AddGrowableCol(1)
fgs.AddGrowableCol(2)
self.SetSizer(fgs)
class MyPanel_23(wx.Panel):
"""- A FlexGridSizer of 9 cells (3x3) with 4 ColWins in cells and 5 empty cells
- rows 1 and 3 have a fixed size"""
def __init__(self, parent):
... | code_fim | hard | {
"lang": "python",
"repo": "icefoxen/lang",
"path": "/python/wx/sizertest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: icefoxen/lang path: /python/wx/sizertest.py
el):
"""- Three items: a ColWin and two Buttons
- the Buttons are either left/right aligned or centered"""
def __init__(self, parent):
wx.Panel.__init__(self, parent, -1, wx.DefaultPosition, wx.DefaultSize)
wred = ColWin(se... | code_fim | hard | {
"lang": "python",
"repo": "icefoxen/lang",
"path": "/python/wx/sizertest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: icefoxen/lang path: /python/wx/sizertest.py
def __init__(self, parent):
wx.Panel.__init__(self, parent, -1, wx.DefaultPosition, wx.DefaultSize)
wred = ColWin(self, wx.NewId(), wx.RED)
wblue = ColWin(self, wx.NewId(), wx.BLUE)
wgreen = ColWin(self, wx.NewId(), wx.G... | code_fim | hard | {
"lang": "python",
"repo": "icefoxen/lang",
"path": "/python/wx/sizertest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: benjamesian/GoodNews path: /scraping/main.py
#!/usr/bin/env python3
"""
Get articles from the web
"""
import json
import os
import socket
import sys
import tempfile
from scraping import API_CLIENTS, SOCKET_PATH
def accept_status(status: bytes) -> bool:
"""
Check if the server status is ... | code_fim | hard | {
"lang": "python",
"repo": "benjamesian/GoodNews",
"path": "/scraping/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
"""
Run the program
"""
with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as sock:
sock.connect(SOCKET_PATH)
for i, client in enumerate(cls() for cls in API_CLIENTS):
if 200 <= client.request() < 300:
filedesc, filename = tempfi... | code_fim | hard | {
"lang": "python",
"repo": "benjamesian/GoodNews",
"path": "/scraping/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> body = request.get_json()
print(type(body))
print(body['exp_time'])
return str(body)
@app.route('/images', methods = ['DELETE'])
def remove_images():
all_files = os.listdir('./pictures')
image_files = [name for name in all_files if name.find('.png') != -1]
for image_file ... | code_fim | medium | {
"lang": "python",
"repo": "jrmalsan/photo-uploader",
"path": "/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/', methods = ['POST'])
def hello_world():
if have_camera:
settings = request.get_json()
ch.set_settings(camera, settings)
cur_time = str(int(time.time()))
print(cur_time)
file_name = 'pi-capture-{}.png'.format(cur_time)
full_path = './pictu... | code_fim | medium | {
"lang": "python",
"repo": "jrmalsan/photo-uploader",
"path": "/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jrmalsan/photo-uploader path: /server.py
import os
import time
import src.camera_helper as ch
from dotenv import load_dotenv
load_dotenv()
from flask import Flask
from flask import request
from flask import jsonify
app = Flask(__name__)
from azure.storage.blob import BlockBlobService
block_blo... | code_fim | medium | {
"lang": "python",
"repo": "jrmalsan/photo-uploader",
"path": "/server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Zipcode(Thing, Base):
pass
t_state = State.__table__
t_city = City.__table__
t_zipcode = Zipcode.__table__
Base.metadata.create_all(engine)<|fim_prefix|># repo: xltechnology/crawlib-project path: /example/crawlib_doc-project/crawlib_doc/rds_model.py
#!/usr/bin/env python
# -*- coding: utf-8 ... | code_fim | hard | {
"lang": "python",
"repo": "xltechnology/crawlib-project",
"path": "/example/crawlib_doc-project/crawlib_doc/rds_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xltechnology/crawlib-project path: /example/crawlib_doc-project/crawlib_doc/rds_model.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
from sqlalchemy.ext.declarative import declarative_base, declared_attr
from sqlalchemy import Column, String, Integer, DateTime
fro... | code_fim | medium | {
"lang": "python",
"repo": "xltechnology/crawlib-project",
"path": "/example/crawlib_doc-project/crawlib_doc/rds_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Zipcode(Thing, Base):
pass
t_state = State.__table__
t_city = City.__table__
t_zipcode = Zipcode.__table__
Base.metadata.create_all(engine)<|fim_prefix|># repo: xltechnology/crawlib-project path: /example/crawlib_doc-project/crawlib_doc/rds_model.py
#!/usr/bin/env python
# -*- coding: utf-8... | code_fim | hard | {
"lang": "python",
"repo": "xltechnology/crawlib-project",
"path": "/example/crawlib_doc-project/crawlib_doc/rds_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mahinkhankishizade/bookclub_server path: /bookclub/bookclub/bookclub_server/migrations/0002_auto_20190430_2254.py
# Generated by Django 2.1.7 on 2019-04-30 19:54
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies =... | code_fim | hard | {
"lang": "python",
"repo": "mahinkhankishizade/bookclub_server",
"path": "/bookclub/bookclub/bookclub_server/migrations/0002_auto_20190430_2254.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>SCADE, related_name='giving_book_suggestion', to='bookclub_server.Book'),
),
migrations.AddField(
model_name='suggestion',
name='state',
field=models.CharField(default='nothing', max_length=250),
),
migrations.AddField(
model_... | code_fim | hard | {
"lang": "python",
"repo": "mahinkhankishizade/bookclub_server",
"path": "/bookclub/bookclub/bookclub_server/migrations/0002_auto_20190430_2254.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_create_sqlite_db_setup():
with tempfile.NamedTemporaryFile(mode='w') as f:
f.write("DB_DRIVER = 'sqlite'\n")
f.write("DB_NAME = 'pantry.db'")
f.flush()
a = pantry.create_app(f.name)
db_driver = a.config.get(
'SQLALCHEMY_DATABASE_URI',
... | code_fim | hard | {
"lang": "python",
"repo": "abbec/pantry",
"path": "/pantry/tests/test_create.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abbec/pantry path: /pantry/tests/test_create.py
import tempfile
import logging
import os
import werkzeug.contrib.profiler as profiler
import pantry
def test_create_debug():
with tempfile.NamedTemporaryFile(mode='w') as f:
f.write("DEBUG = True\nDB_DRIVER = 'sqlite'")
f.flush... | code_fim | hard | {
"lang": "python",
"repo": "abbec/pantry",
"path": "/pantry/tests/test_create.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_create_profile():
with tempfile.NamedTemporaryFile(mode='w') as f:
f.write("PROFILE = True\nDB_DRIVER = 'sqlite'")
f.flush()
a = pantry.create_app(f.name)
assert not a.debug
assert isinstance(a.wsgi_app, profiler.ProfilerMiddleware)<|fim_prefix|># rep... | code_fim | hard | {
"lang": "python",
"repo": "abbec/pantry",
"path": "/pantry/tests/test_create.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def truncateto(self, commandnumber):
"""Truncates the history up to given commandnumber"""
keytuples = self.pvalues.keys()
allkeys = sorted(keytuples, key=lambda keytuple: keytuple[0])
# Sanity checking
lastkey = allkeys[0][0]
candelete = True
fo... | code_fim | hard | {
"lang": "python",
"repo": "liranz/concoord",
"path": "/concoord/pvalue.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liranz/concoord path: /concoord/pvalue.py
'''
@author: Deniz Altinbuken, Emin Gun Sirer
@note: PValue is used to keep Paxos state in Acceptor and Leader nodes.
@copyright: See LICENSE
'''
from concoord.pack import *
import types
class PValueSet():
"""PValueSet encloses a set of pvalues with ... | code_fim | hard | {
"lang": "python",
"repo": "liranz/concoord",
"path": "/concoord/pvalue.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _objective_function_gradient_sparse(self, c):
c = np.mat(c).T
c_sum = np.sum(c)
XTc = self._X_T * c - self._X_u_mean.T * c_sum
a_labeled_tmp = self._gamma*(1.0 - np.multiply(self._y_T,
(self._X_l * XTc - self._X... | code_fim | hard | {
"lang": "python",
"repo": "hit-Chris/Quasi-Newton-S3VM",
"path": "/Quasi_Newton_S3VM.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hit-Chris/Quasi-Newton-S3VM path: /Quasi_Newton_S3VM.py
import copy as cp
import numpy as np
from scipy import optimize
from scipy import sparse
import time
class linear_k:
def __init__(self, issparse):
self._sparse = issparse
def compute(self, data1, data2):
if self._... | code_fim | hard | {
"lang": "python",
"repo": "hit-Chris/Quasi-Newton-S3VM",
"path": "/Quasi_Newton_S3VM.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> user_input = raw_input('Enter numbers separated by a comma:\n').strip()
print(quick_sort([int(item) for item in user_input.split(',')]))<|fim_prefix|># repo: HopperGithub/python_algorithms path: /sorts/quick.py
#!/usr/bin/python
#coding:utf-8
from __future__ import print_function
def quick_sort(... | code_fim | medium | {
"lang": "python",
"repo": "HopperGithub/python_algorithms",
"path": "/sorts/quick.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HopperGithub/python_algorithms path: /sorts/quick.py
#!/usr/bin/python
#coding:utf-8
from __future__ import print_function
def quick_sort(iterable):
'''快速排序（英语：Quick Sort）是冒泡排序的改进，也是二叉查找树的一个空间最优版本。
使用分治法策略将一个序列分为2个子序列，递归排序。主要竞争对手有堆排序、归并排序
参数：可迭代序列
返回：升序排序后的可迭代序列
原理：
1. 对... | code_fim | medium | {
"lang": "python",
"repo": "HopperGithub/python_algorithms",
"path": "/sorts/quick.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return("<input type=\"number\" name=\""+Name+"\" value=\""+Value+"\" size=\""+Size+"\" maxlenght=\""+Maxlenght+"\" min=\""+Min+"\" max=\""+Max+"\" "+Required+" "+Readonly+">")
def MyCheckboxForm(Name,Value):
return("<input type=\"checkbox\" name=\""+Name+"\" value=\""+Value+"\">")
def MyRadioBut... | code_fim | hard | {
"lang": "python",
"repo": "raspibo/CentRed",
"path": "/var/www/cgi-bin/mhl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return("<input type=\"email\" name=\""+Name+"\" value=\""+Value+"\" size=\""+Size+"\" "+Required+" "+Readonly+">")
def MyTextAreaForm(Name,Value,Cols,Rows,Required,Readonly):
return("<textarea name=\""+Name+"\" value=\""+Value+"\" cols=\""+Cols+"\" rows=\""+Rows+"\" "+Required+" "+Readonly+">")
... | code_fim | hard | {
"lang": "python",
"repo": "raspibo/CentRed",
"path": "/var/www/cgi-bin/mhl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raspibo/CentRed path: /var/www/cgi-bin/mhl.py
#!/usr/bin/env python3
## My HTML Library
#
""" ATTENZIONE: Non tutte le funzioni sono state testate/usate
alcune neanche fatte
"""
# Html page
def MyHtml():
return "Content-type: text/html\n\n"
def MyHtmlHead():
return ("""
<html>
<... | code_fim | hard | {
"lang": "python",
"repo": "raspibo/CentRed",
"path": "/var/www/cgi-bin/mhl.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return os.path.join(self._checkpoint_dir, 'best', self.__str__())
@property
def _attn_dir(self):
return os.path.join(self._mp.attn_dir, self.__str__())<|fim_prefix|># repo: Tommy-Liu/A2A_MovieQA path: /model/basic_model.py
import os
import re
from config import MovieQAPath
from ... | code_fim | hard | {
"lang": "python",
"repo": "Tommy-Liu/A2A_MovieQA",
"path": "/model/basic_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tommy-Liu/A2A_MovieQA path: /model/basic_model.py
import os
import re
from config import MovieQAPath
from model.basic_hp import BasicHP
class BasicModel(object):
def __init__(self):
self._hp = BasicHP()
self._mp = MovieQAPath()
def __str__(self):
return '.'.joi... | code_fim | medium | {
"lang": "python",
"repo": "Tommy-Liu/A2A_MovieQA",
"path": "/model/basic_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kauppim/python-mazegame path: /src/pyramid_object.py
'''
Pyramid Object
'''
class PyramidObject(object):
def __init__(self, size_x = 64, size_y = 48, height = 3, array = None):
self.height = height
self.size_x = size_x
self.size_y = size_y
if array == None:
self.array = [None] * ... | code_fim | hard | {
"lang": "python",
"repo": "kauppim/python-mazegame",
"path": "/src/pyramid_object.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ( 1 <= x_pos < self.size_x ) and ( 0 <= y_pos < self.size_y ) and ( 0 <= z_pos < self.height) and not self.is_wall(x_pos - 1, y_pos, z_pos):
self.array[z_pos][y_pos][x_pos] = ' '
return True
else:
return False
def set_ascent(self, x_pos, y_pos, z_pos):
if ( 0 <= x_pos < self.size_x ) ... | code_fim | hard | {
"lang": "python",
"repo": "kauppim/python-mazegame",
"path": "/src/pyramid_object.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>tests:../stack/tests')
env.Program('tests', ['src/test_main.c', Glob('../libs/*.a')])<|fim_prefix|># repo: susanna-kaukinen/c_containers path: /tests/SConscript
env = Environment(CPPPATH='../include:../<|fim_middle|>debug/include:../vector/include:../vector/ | code_fim | easy | {
"lang": "python",
"repo": "susanna-kaukinen/c_containers",
"path": "/tests/SConscript",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>, ['src/test_main.c', Glob('../libs/*.a')])<|fim_prefix|># repo: susanna-kaukinen/c_containers path: /tests/SConscript
env = Environment(CPPPATH='../include:../debug/include:../vector/include:../vector/<|fim_middle|>tests:../stack/tests')
env.Program('tests' | code_fim | easy | {
"lang": "python",
"repo": "susanna-kaukinen/c_containers",
"path": "/tests/SConscript",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: susanna-kaukinen/c_containers path: /tests/SConscript
env = Environment(CPPPATH='../include:../debug/include:../vector/include:../vector/<|fim_suffix|>, ['src/test_main.c', Glob('../libs/*.a')])<|fim_middle|>tests:../stack/tests')
env.Program('tests' | code_fim | easy | {
"lang": "python",
"repo": "susanna-kaukinen/c_containers",
"path": "/tests/SConscript",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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