text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> # last observable time is setting or end of period,
# whichever comes first
time_end = min(time_set, time_stop_utc)
# calculate duration in seconds (subtracting two ephem Date
# objects seems to give a fraction in days)
duration = (time_end - time_rise) * 86... | code_fim | hard | {
"lang": "python",
"repo": "naojsoft/qplan",
"path": "/qplan/util/calcpos.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luizhenriquemaia/system_sgq path: /sgqcmm/main/funcoes.py
""" Implementa as funcoes personalizadas """
# Retira parenteses, tracos e espacos de um numeo de telefone
def numpurotelefone(textodigitado):
numpuro = textodigitado.replace('+', '')
numpuro = numpuro.replace('(', '')
numpur... | code_fim | hard | {
"lang": "python",
"repo": "luizhenriquemaia/system_sgq",
"path": "/sgqcmm/main/funcoes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Retorna lista com codigos superiores ao fornecido
def listacodigossup(codatual):
nivatual = codatual.count('.')
result = []
if nivatual > 1:
numeros = codatual.split('.')
for cont in range(nivatual-1):
if cont > 0:
result.append(result[cont - 1] +... | code_fim | hard | {
"lang": "python",
"repo": "luizhenriquemaia/system_sgq",
"path": "/sgqcmm/main/funcoes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Eshikamahajan/NamedEntityRecognition path: /NER.py
#!/usr/bin/env python
# coding: utf-8
#
# <h2 align=center> Named Entity Recognition (NER) using LSTMs with Keras<br><h3><center><I>By - Eshika Mahajan</I></h3>
# </h2>
#
# ### Task 1: Project Overview and Import Modules
# In[1]:
#impor... | code_fim | hard | {
"lang": "python",
"repo": "Eshikamahajan/NamedEntityRecognition",
"path": "/NER.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># In[4]:
#fetching all the unique words in variable ""words"" and adding "ENDPAD" at the end of the list
words = list(set(data["Word"].values))
words.append("ENDPAD")
num_words = len(words) #calculating the length of the list
# In[5]:
#REPEATING THE ABOVE PROCEDURE FOR TAG ALSO
tags = list(set(data[... | code_fim | hard | {
"lang": "python",
"repo": "Eshikamahajan/NamedEntityRecognition",
"path": "/NER.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# In[16]:
model.compile(optimizer="adam",
loss="sparse_categorical_crossentropy",
metrics=["accuracy"])
# ### Task 7: Train the Model
# In[18]:
#importing necessary modules from the keras API
from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping
from liv... | code_fim | hard | {
"lang": "python",
"repo": "Eshikamahajan/NamedEntityRecognition",
"path": "/NER.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicolasessisbreton/fython path: /fython/test/instruction/allocruc_deallocruc_test.py
s = """
.a.fy
real dimension(:) allocatable: x y z
integer:
a=1
b=1
c=1
n=1
m=1
alloc x(n)
dealloc x
<|fim_suffix|>writer(s)
w = load('.a', force=1, release=1, verbose=0)
# print(open(w.modu... | code_fim | hard | {
"lang": "python",
"repo": "nicolasessisbreton/fython",
"path": "/fython/test/instruction/allocruc_deallocruc_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>w = load('.a', force=1, release=1, verbose=0)
# print(open(w.module.url.fortran_path, 'r').read())<|fim_prefix|># repo: nicolasessisbreton/fython path: /fython/test/instruction/allocruc_deallocruc_test.py
s = """
.a.fy
real dimension(:) allocatable: x y z
integer:
a=1
b=1
c=1
n=1
m=1
a... | code_fim | easy | {
"lang": "python",
"repo": "nicolasessisbreton/fython",
"path": "/fython/test/instruction/allocruc_deallocruc_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RhysGrabany/maze-generator path: /mainmenu_proto/messages_protoype.py
#!/usr/bin/python3
def messages(option):
if option == "info":
return('''
This is the maze generator which creates small mazes for hobby use
Please select an option below on what you would like to d... | code_fim | hard | {
"lang": "python",
"repo": "RhysGrabany/maze-generator",
"path": "/mainmenu_proto/messages_protoype.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>o view:
''')
elif option == "save_maze":
return('''
Select a maze to save:
''')
elif option == "save_maze_options":
return('''
1. Save 1x image
2. Save an enhanced image (2x - 10x)
3. Save text version
e. Go back
''')<... | code_fim | hard | {
"lang": "python",
"repo": "RhysGrabany/maze-generator",
"path": "/mainmenu_proto/messages_protoype.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> >>> from pyculib import rand
>>> rand.lognormal(mean=0, sigma=1, size=10)
array([...])
.. seealso:: :py:meth:`pyculib.rand.PRNG.lognormal`
'''
ary = np.empty(size, dtype=dtype)
devary = cuda.to_device(ary, copy=False)
prng = _get_prng()
prng.lognormal(devary, mean, si... | code_fim | hard | {
"lang": "python",
"repo": "kenhester/pyculib",
"path": "/pyculib/rand/api.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> .. seealso:: :py:meth:`pyculib.rand.PRNG.lognormal`
'''
ary = np.empty(size, dtype=dtype)
devary = cuda.to_device(ary, copy=False)
prng = _get_prng()
prng.lognormal(devary, mean, sigma, size)
if device:
return devary
else:
devary.copy_to_host(ary)
r... | code_fim | hard | {
"lang": "python",
"repo": "kenhester/pyculib",
"path": "/pyculib/rand/api.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kenhester/pyculib path: /pyculib/rand/api.py
import numpy as np
import time
from . import binding
from numba import cuda
class RNG(object):
"cuRAND pseudo random number generator"
def __init__(self, gen):
self._gen = gen
self.__stream = 0
@property
def offset(sel... | code_fim | hard | {
"lang": "python",
"repo": "kenhester/pyculib",
"path": "/pyculib/rand/api.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: transpresupuestaria/os-data-importers path: /eu-structural-funds/tests/test_bootstrap.py
"""Unit-tests for the bootstrap module."""
import json
import os
from shutil import rmtree
from common.bootstrap import Source
from unittest import TestCase
from common.config import DATA_DIR, PIPELINE_FIL... | code_fim | hard | {
"lang": "python",
"repo": "transpresupuestaria/os-data-importers",
"path": "/eu-structural-funds/tests/test_bootstrap.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_source_is_loaded_and_pipeline_up(self):
self.assertEquals(self.source.validation_status, 'valid')
self.assertEquals(self.source.pipeline_status, 'up')
self.assertEquals(self.source.traceback, None)
self.assertEquals(self.source.validation_errors, [])
class Te... | code_fim | hard | {
"lang": "python",
"repo": "transpresupuestaria/os-data-importers",
"path": "/eu-structural-funds/tests/test_bootstrap.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> import argparse
parser = argparse.ArgumentParser()
parser.add_argument('imagePath', nargs='+')
parser.add_argument('--verbose', '-v', action='count', default=0)
parser.add_argument('--birthtime', '-b', action='store_true')
args = parser.parse_args()
args.verbose += 1
setTime = setFromBirthTime if... | code_fim | medium | {
"lang": "python",
"repo": "nightjuggler/pig",
"path": "/setTimeExif.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def setFromBirthTime(fileName, verbose=0):
try:
fileInfo = os.stat(fileName)
except Exception as e:
print(fileName, e.__class__.__name__, str(e))
return False
oldTime = fileInfo.st_mtime
newTime = fileInfo.st_birthtime
if oldTime in (newTime, newTime + 1):
if verbose > 2:
print(fileName,... | code_fim | medium | {
"lang": "python",
"repo": "nightjuggler/pig",
"path": "/setTimeExif.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nightjuggler/pig path: /setTimeExif.py
import os
import time
from pimly import Image
def formatTime(timestamp):
ymdhms = time.localtime(timestamp)[0:6]
return "{}-{:02}-{:02} {:02}:{:02}:{:02}".format(*ymdhms)
def setFromExifTime(fileName, verbose=0):
<|fim_suffix|>def setFromBirthTime(fileNa... | code_fim | hard | {
"lang": "python",
"repo": "nightjuggler/pig",
"path": "/setTimeExif.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for root, dirs, files in os.walk(abs_path):
local_path = root.replace(abs_path, job_incoming_dir, 1)
os.makedirs(local_path, exist_ok=True)
for filename in files:
fs_file_path = os.path.join(root, filename)
... | code_fim | hard | {
"lang": "python",
"repo": "FNNDSC/pfcon",
"path": "/pfcon/filesystem_storage.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FNNDSC/pfcon path: /pfcon/filesystem_storage.py
"""
Handle filesystem-based (eg. mount directory) storage. This is used when pfcon is
in-network and configured to directly copy the data from a filesystem.
"""
import logging
import datetime
import os
import json
import io
import shutil
from .ba... | code_fim | hard | {
"lang": "python",
"repo": "FNNDSC/pfcon",
"path": "/pfcon/filesystem_storage.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for filename in files:
local_file_path = os.path.join(root, filename)
if not os.path.islink(local_file_path):
try:
shutil.copy(local_file_path, fs_path)
except Exception as e:
... | code_fim | hard | {
"lang": "python",
"repo": "FNNDSC/pfcon",
"path": "/pfcon/filesystem_storage.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>os.system("condor_submit_dag -config dagman.config " + fname + ".dag")<|fim_prefix|># repo: briedel/sandbox_icecube path: /sni3Sim/SNPS/SNPS/branches/intermixing/resources/cluster/condor/submitjobsCLSimonly.py
#!/usr/bin/env python
import sys
import os
from os.path import expandvars
from makesubmitfile... | code_fim | hard | {
"lang": "python",
"repo": "briedel/sandbox_icecube",
"path": "/sni3Sim/SNPS/SNPS/branches/intermixing/resources/cluster/condor/submitjobsCLSimonly.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: briedel/sandbox_icecube path: /sni3Sim/SNPS/SNPS/branches/intermixing/resources/cluster/condor/submitjobsCLSimonly.py
#!/usr/bin/env python
import sys
import os
from os.path import expandvars
<|fim_suffix|>os.system("condor_submit_dag -config dagman.config " + fname + ".dag")<|fim_middle|>from ... | code_fim | hard | {
"lang": "python",
"repo": "briedel/sandbox_icecube",
"path": "/sni3Sim/SNPS/SNPS/branches/intermixing/resources/cluster/condor/submitjobsCLSimonly.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Edu-Glez/introduction-quiz path: /send_answers.py
#Import the necessary libraries to POST the answers in the specified host
import requests
import json
<|fim_suffix|>#Get the url
r = requests.get(url)
#Open the json
with open('introduction_quiz.json') as df:
ans = json.load(df)
... | code_fim | medium | {
"lang": "python",
"repo": "Edu-Glez/introduction-quiz",
"path": "/send_answers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Get the values just entered in order to check if it was done correctly but you have to put the full URL
#a = requests.get(url)
#answers = a.text
#Print the answers in the console
#print(answers)
#Print the result of the POST
print(r.text)<|fim_prefix|># repo: Edu-Glez/introduction-quiz path: /send_answ... | code_fim | hard | {
"lang": "python",
"repo": "Edu-Glez/introduction-quiz",
"path": "/send_answers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pirxthepilot/bsides_workshop path: /autofix_securitygroups.py
import boto3
import json
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
PORT_WHITELIST = ["8000", "554", "22", "8089", "997", "443"]
# Function to inspect each security group
def inspect_security_group(ec... | code_fim | hard | {
"lang": "python",
"repo": "pirxthepilot/bsides_workshop",
"path": "/autofix_securitygroups.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def sg_cleaner():
status = ""
client = boto3.client("ec2")
regions = [region["RegionName"] for region in client.describe_regions()["Regions"]]
for x in regions:
ec2 = boto3.resource("ec2", region_name=x)
instances = ec2.instances.filter(
Filters=[{"Name": "inst... | code_fim | hard | {
"lang": "python",
"repo": "pirxthepilot/bsides_workshop",
"path": "/autofix_securitygroups.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> status = ""
client = boto3.client("ec2")
regions = [region["RegionName"] for region in client.describe_regions()["Regions"]]
for x in regions:
ec2 = boto3.resource("ec2", region_name=x)
instances = ec2.instances.filter(
Filters=[{"Name": "instance-state-name", "... | code_fim | hard | {
"lang": "python",
"repo": "pirxthepilot/bsides_workshop",
"path": "/autofix_securitygroups.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:param node_feature: features on n nodes, organized as b x c x n x 1
:param argv: graph and edge features.
"""
extra_res = []
for m in self.module_list:
if isinstance(m, base_mp_nn):
node_feature = m(node_feature, *argv)
... | code_fim | hard | {
"lang": "python",
"repo": "richardodliu/Factor-Graph-Neural-Network",
"path": "/lib/mpnn/sequential.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: richardodliu/Factor-Graph-Neural-Network path: /lib/mpnn/sequential.py
import torch
from .mp_nn import mp_conv_v2
from .mp_nn_residual import mp_conv_residual
from .pooling import global_pooling
from .base_model import base_mp_nn
<|fim_suffix|> """
:param node_feature: features o... | code_fim | hard | {
"lang": "python",
"repo": "richardodliu/Factor-Graph-Neural-Network",
"path": "/lib/mpnn/sequential.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, node_feature, *argv):
"""
:param node_feature: features on n nodes, organized as b x c x n x 1
:param argv: graph and edge features.
"""
extra_res = []
for m in self.module_list:
if isinstance(m, base_mp_nn):
... | code_fim | hard | {
"lang": "python",
"repo": "richardodliu/Factor-Graph-Neural-Network",
"path": "/lib/mpnn/sequential.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: indico/indico path: /indico/modules/events/contributions/models/contributions.py
n
from indico.modules.events.sessions.util import session_coordinator_priv_enabled
from indico.util.iterables import materialize_iterable
from indico.util.locators import locator_property
from indico.util.string impo... | code_fim | hard | {
"lang": "python",
"repo": "indico/indico",
"path": "/indico/modules/events/contributions/models/contributions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: indico/indico path: /indico/modules/events/contributions/models/contributions.py
t DDL
from sqlalchemy.dialects.postgresql import ARRAY
from sqlalchemy.event import listens_for
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import column_property, mapper
from sqlalchemy.... | code_fim | hard | {
"lang": "python",
"repo": "indico/indico",
"path": "/indico/modules/events/contributions/models/contributions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def start_dt_poster(self):
if self.session and self.session.is_poster and self.timetable_entry and self.timetable_entry.parent:
return self.timetable_entry.parent.start_dt
@property
def end_dt_poster(self):
if self.session and self.session.is_poster a... | code_fim | hard | {
"lang": "python",
"repo": "indico/indico",
"path": "/indico/modules/events/contributions/models/contributions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: funkygao/tfshow path: /raw/draw_mnist.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import mnist_loader
import numpy as np
import matplotlib.pyplot as plt
import time
import os
#===============
# Configurations
#===============
enable_matplot = False
if enable_matplot:
plt.ion()
fig... | code_fim | medium | {
"lang": "python",
"repo": "funkygao/tfshow",
"path": "/raw/draw_mnist.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # draw on matplot
if enable_matplot:
ax1.matshow(img, cmap=plt.get_cmap('gray'))
figure.canvas.draw()
continue
os.system('clear')
for y in range(dim):
for x in range(dim):
if img[y][x] > .1:
print 'X',
else:
... | code_fim | hard | {
"lang": "python",
"repo": "funkygao/tfshow",
"path": "/raw/draw_mnist.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dawnranger/OpenAttack path: /OpenAttack/utils/__init__.py
from .word_vector import WordVector
from .functions import check_parameters
from .zip_downloader import make_zip_downloader
from .visualizer import visualizer, result_visualizer
from .bert_model import BertClassi<|fim_suffix|>el import Rob... | code_fim | medium | {
"lang": "python",
"repo": "dawnranger/OpenAttack",
"path": "/OpenAttack/utils/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>fier
from .albert_model import AlbertClassifier
from .xlnet_model import XlnetClassifier
from .roberta_model import RobertaClassifier
from .dataset import Dataset, DataInstance
from .nli_wrapper import NLIWrapper<|fim_prefix|># repo: dawnranger/OpenAttack path: /OpenAttack/utils/__init__.py
from .word_ve... | code_fim | medium | {
"lang": "python",
"repo": "dawnranger/OpenAttack",
"path": "/OpenAttack/utils/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AtilioA/algoritmos-teoria-dos-grafos path: /Python/insert.py
# Implementação básica de insertion sort, porém para lista de arestas (ver aresta.py)
def insert_sort(collection, vertices):
tamanho = len(collection)
if tamanho < 2:
# Já está ordenado, retorne
return collectio... | code_fim | hard | {
"lang": "python",
"repo": "AtilioA/algoritmos-teoria-dos-grafos",
"path": "/Python/insert.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> vertices[elementoFrente.first] = 0
vertices[elementoFrente.second] = 0
return collection, vertices<|fim_prefix|># repo: AtilioA/algoritmos-teoria-dos-grafos path: /Python/insert.py
# Implementação básica de insertion sort, porém para lista de arestas (ver aresta.py)
def insert_sort(c... | code_fim | medium | {
"lang": "python",
"repo": "AtilioA/algoritmos-teoria-dos-grafos",
"path": "/Python/insert.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.parametrize(
"files, file, result",
[
([], "", None),
(["FiLe.ExT"], "file", "FiLe.ExT"),
(["filee", "FiLe.ExT", "filee"], "file", "FiLe.ExT"),
(["filename", "FILE"], "file", "FILE"),
],
)
def test_get_file_by_name(files: List[str], file: str, resul... | code_fim | medium | {
"lang": "python",
"repo": "newAM/RocketChatBot",
"path": "/test_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: newAM/RocketChatBot path: /test_util.py
import util
import pytest
from typing import Optional
from typing import List
@pytest.mark.parametrize(
"filename, result", [("/a/a.b", "a"), ("A", "a"), ("A.B.C", "a.b"), ("", "")],
)
def test_normalize_filename(filename: str, result: str):
<|fim_suf... | code_fim | medium | {
"lang": "python",
"repo": "newAM/RocketChatBot",
"path": "/test_util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize(
"files, file, result",
[
([], "", None),
(["FiLe.ExT"], "file", "FiLe.ExT"),
(["filee", "FiLe.ExT", "filee"], "file", "FiLe.ExT"),
(["filename", "FILE"], "file", "FILE"),
],
)
def test_get_file_by_name(files: List[str], file: str, resu... | code_fim | hard | {
"lang": "python",
"repo": "newAM/RocketChatBot",
"path": "/test_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> stride_counters_valid = stride_counters_valid & (
stride_counter.O < stride_counter_valid_values.O
)
# only increment stride if trying to emit data this clock cycle
wire((valid_counter.O == valid_c... | code_fim | hard | {
"lang": "python",
"repo": "David-Durst/aetherling",
"path": "/aetherling/modules/native_linebuffer/any_dimensional_native_linebuffer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: David-Durst/aetherling path: /aetherling/modules/native_linebuffer/any_dimensional_native_linebuffer.py
# used coordinates tracks all the ND coordinates used for window outputs
used_coordinates = set()
# output indicies and what outputs of shift registers to wir... | code_fim | hard | {
"lang": "python",
"repo": "David-Durst/aetherling",
"path": "/aetherling/modules/native_linebuffer/any_dimensional_native_linebuffer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>caleFactor=1.1,
minNeighbors=5, minSize=(30, 30))
for (x,y,W,H) in rects :
cv2.rectangle(frame,(x,y),(x+W,y+H),(0,255,0),2)
cv2.imshow("Frame",frame)
roi = frame[y:y + H, x:x + W]
key=cv2.waitKey(1)&0xFF
if key==ord("k"):
t=time.time()+3
... | code_fim | hard | {
"lang": "python",
"repo": "KienPhung-AI-future/hh",
"path": "/loaddata.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KienPhung-AI-future/hh path: /loaddata.py
import argparse
import imutils
from imutils.video import VideoStream
import cv2
import os
import time
import copy
import numpy as np
import timeit
ap=argparse.ArgumentParser()
ap.add_argument("-c","--cascade",required=True,
he... | code_fim | hard | {
"lang": "python",
"repo": "KienPhung-AI-future/hh",
"path": "/loaddata.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>total).zfill(5))])
cv2.imwrite(p, roi)
total +=1
elif key==ord("p"):
p = os.path.sep.join([args["output"], "{}.png".format(str(total).zfill(5))])
cv2.imwrite(p, frame)
total += 1
elif key==ord("q"):
break
... | code_fim | hard | {
"lang": "python",
"repo": "KienPhung-AI-future/hh",
"path": "/loaddata.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>otp = input('Enter your OTP: ')
if otp == OTP:
print('Verification successful!')
else:
print("Invalid OTP. Please enter valid OTP.")<|fim_prefix|># repo: siddhantmahajani/Simple_OTP_Verification path: /EmailOTP_Verification.py
import os
import math
import random
import smtplib
from email.mime.tex... | code_fim | hard | {
"lang": "python",
"repo": "siddhantmahajani/Simple_OTP_Verification",
"path": "/EmailOTP_Verification.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>OTP = ""
for i in range(6):
OTP += digits[math.floor(random.random() * 10)]
fromEmail = '{fromEmail}'
mailServer = smtplib.SMTP('{host}', '{port}')
mailServer.starttls()
mailServer.login('{authenticationId}', '{authenticationPassword}')
toEmail = input('Please enter your email: ')
otpMimeMessage = M... | code_fim | medium | {
"lang": "python",
"repo": "siddhantmahajani/Simple_OTP_Verification",
"path": "/EmailOTP_Verification.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: siddhantmahajani/Simple_OTP_Verification path: /EmailOTP_Verification.py
import os
import math
import random
import smtplib
from email.mime.text import MIMEText
digits = "0123456789"
OTP = ""
for i in range(6):
OTP += digits[math.floor(random.random() * 10)]
<|fim_suffix|>otp = input('Ente... | code_fim | hard | {
"lang": "python",
"repo": "siddhantmahajani/Simple_OTP_Verification",
"path": "/EmailOTP_Verification.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FitAdam/Mr.-Threat path: /web_app/models.py
from django.db import models
from django.contrib.auth.models import User
class IP(models.Model):
"""The IP checked by the user."""
the_ip = models.GenericIPAddressField(default='192.168.0.1')
owner = models.ForeignKey(User, on_delete=models... | code_fim | medium | {
"lang": "python",
"repo": "FitAdam/Mr.-Threat",
"path": "/web_app/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> member = models.ForeignKey(User, on_delete=models.CASCADE)
plan = models.CharField(default='Basic', max_length=100)
number_of_requests = models.IntegerField(default=5)
def __str__(self):
"""Return a string representation of the model."""
return self.plan<|fim_prefix|>#... | code_fim | medium | {
"lang": "python",
"repo": "FitAdam/Mr.-Threat",
"path": "/web_app/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Plan(models.Model):
member = models.ForeignKey(User, on_delete=models.CASCADE)
plan = models.CharField(default='Basic', max_length=100)
number_of_requests = models.IntegerField(default=5)
def __str__(self):
"""Return a string representation of the model."""
retu... | code_fim | medium | {
"lang": "python",
"repo": "FitAdam/Mr.-Threat",
"path": "/web_app/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SheffieldML/PyDeepGP path: /deepgp/inference/vardtc.py
# Copyright (c) 2015-2016, the authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from GPy.util.linalg import jitchol, backsub_both_sides, tdot, dtrtrs, dtrtri,pdinv
from GPy.util import diag
from GPy.c... | code_fim | hard | {
"lang": "python",
"repo": "SheffieldML/PyDeepGP",
"path": "/deepgp/inference/vardtc.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def inference(self, kern, X, Z, likelihood, Y, Y_metadata=None, Lm=None, dL_dKmm=None, Kuu_sigma=None):
"""
The first phase of inference:
Compute: log-likelihood, dL_dKmm
Cached intermediate results: Kmm, KmmInv,
"""
num_data, output_dim = Y.shape
... | code_fim | hard | {
"lang": "python",
"repo": "SheffieldML/PyDeepGP",
"path": "/deepgp/inference/vardtc.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jaakkolantero/kvaak-backend path: /kvaak/api/management/commands/populate_db.py
from django.core.management.base import BaseCommand
from ...models import Sighting
from ...models import Species
import random
class Command(BaseCommand):
help = 'Populate database with dummy data. \
... | code_fim | hard | {
"lang": "python",
"repo": "jaakkolantero/kvaak-backend",
"path": "/kvaak/api/management/commands/populate_db.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _create_sightings(self, count):
# TODO: Create random data
self._add_species(self.species)
for i in range(count):
sighting = Sighting(date_time='1990-12-23T23:33:00Z',
description='wow such bird',
s... | code_fim | hard | {
"lang": "python",
"repo": "jaakkolantero/kvaak-backend",
"path": "/kvaak/api/management/commands/populate_db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # just in case the index isn't already datetime type
series_A.index = pd.to_datetime(series_A.index)
series_B.index = pd.to_datetime(series_B.index)
# place to store results
correlations_mw = []
mag_max_cors_mw = []
index = []
# for each step along the moving window
f... | code_fim | hard | {
"lang": "python",
"repo": "aashish24/monitoring-ecosystem-resilience",
"path": "/pyveg/src/data_analysis_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aashish24/monitoring-ecosystem-resilience path: /pyveg/src/data_analysis_utils.py
age
Parameters
----------
series : pandas Series
Time series observations.
length : int
Length of the moving window in number of observations.
Returns
-------
pandas Ser... | code_fim | hard | {
"lang": "python",
"repo": "aashish24/monitoring-ecosystem-resilience",
"path": "/pyveg/src/data_analysis_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aashish24/monitoring-ecosystem-resilience path: /pyveg/src/data_analysis_utils.py
str
Name of the column to calculate the CI of.
ci_level : float, optional
Size of the confidence interval to calculate
Returns
----------
DataFrame
Time series data for multi... | code_fim | hard | {
"lang": "python",
"repo": "aashish24/monitoring-ecosystem-resilience",
"path": "/pyveg/src/data_analysis_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abbbe/autoenc2 path: /src/envs/gymenv.py
import numpy as np
import os
os.environ['SDL_VIDEODRIVER']='dummy'
import pygame
pygame.display.set_mode((600,600))
import gym
import skimage.transform
class ArmRobotEnv:
def __init__(self, D=64):
self.D = D
self.env = gym.make('gy... | code_fim | hard | {
"lang": "python",
"repo": "abbbe/autoenc2",
"path": "/src/envs/gymenv.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # apply threhold to averaged image, to highlight the joint circles
grey_plane = np.average(img_array, axis=2)
thresh1 = 0.1
grey_plane[grey_plane < thresh1] = 0.
grey_plane[grey_plane >= thresh1] = 1.
# combine the two
img_array = grey_plane + blue_... | code_fim | hard | {
"lang": "python",
"repo": "abbbe/autoenc2",
"path": "/src/envs/gymenv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # scale to 0..1 (will rescale later again, but need it here for thresholding to work)
img_array = np.array(img_array, dtype=np.float32) / 255.
# crop
img_array = img_array[70:-70,70:-70]
# condition the blue plane, highlight the endpoint circle and the links
... | code_fim | hard | {
"lang": "python",
"repo": "abbbe/autoenc2",
"path": "/src/envs/gymenv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if event == 'next':
if screen == 2:
if values["_path1_"] and values["_path2_"] != "":
my_params.append(values["_path1_"])
my_params.append(values["_path2_"])
with open('app.json', 'w') as fp:
... | code_fim | hard | {
"lang": "python",
"repo": "addUsername/tableArt",
"path": "/src/tableArtGUI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> my_params.append(values["_path1_"])
my_params.append(values["_path2_"])
with open('app.json', 'w') as fp:
json.dump(values['_multi_'], fp)
my_params.append(values['_precision_'])
window['_col2_'].updat... | code_fim | hard | {
"lang": "python",
"repo": "addUsername/tableArt",
"path": "/src/tableArtGUI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: addUsername/tableArt path: /src/tableArtGUI.py
import PySimpleGUI as sg
import json
my_dict = {"rgb(0,0,0)":" onclick='is1();'",
"rgb(200,200,200)": " onclick='is2();'",
"rgb(200,100,50)": " onclick='is3();'",
"rgb(100,120,140)": " onclick='is4();'"}
#St... | code_fim | hard | {
"lang": "python",
"repo": "addUsername/tableArt",
"path": "/src/tableArtGUI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: XJTU-Haolin/3D_Harmonic_Loss_for_Object_Detection path: /configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class_harmonic_loss.py
_base_ = [
'../_base_/models/hv_second_secfpn_kitti_harmonic_loss.py',
'../_ba<|fim_suffix|>default_runtime.py'
]
# load_from = './work_dirs/point_rcnn_2x8_ki... | code_fim | medium | {
"lang": "python",
"repo": "XJTU-Haolin/3D_Harmonic_Loss_for_Object_Detection",
"path": "/configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class_harmonic_loss.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ch_14.pth'
# resume_from = './work_dirs/point_rcnn_2x8_kitti-3d-3classes/epoch_14.pth'<|fim_prefix|># repo: XJTU-Haolin/3D_Harmonic_Loss_for_Object_Detection path: /configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class_harmonic_loss.py
_base_ = [
'../_base_/models/hv_second_secfpn_kitti_harmonic_lo... | code_fim | medium | {
"lang": "python",
"repo": "XJTU-Haolin/3D_Harmonic_Loss_for_Object_Detection",
"path": "/configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class_harmonic_loss.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sichengthebest/CodePracticeBot path: /cmdproc/penaltiescmd.py
#!/usr/bin/env python3
import random
from telegram.ext import CommandHandler, Dispatcher, updater
from telegram import BotCommand
<|fim_suffix|> penalties = [
"Great! You do not have to lose XP! 爽！您不必丢失XP！",
"Uh-o... | code_fim | medium | {
"lang": "python",
"repo": "Sichengthebest/CodePracticeBot",
"path": "/cmdproc/penaltiescmd.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> start_Handler = CommandHandler('penalties', penalties)
dp.add_handler(start_Handler)
return get_command()
def get_command():
return [BotCommand('penalties','Penalty Carousel // 处罚大转盘')]<|fim_prefix|># repo: Sichengthebest/CodePracticeBot path: /cmdproc/penaltiescmd.py
#!/usr/bin/env pyth... | code_fim | hard | {
"lang": "python",
"repo": "Sichengthebest/CodePracticeBot",
"path": "/cmdproc/penaltiescmd.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YKato521/ironpython-stubs path: /release/stubs.min/Autodesk/Revit/DB/__init___parts/TableData.py
class TableData(object, IDisposable):
"""
The TableData class is implemented to hold most of the data that describe
the style of the rows,columns,and cells in a table.
"""
def D... | code_fim | hard | {
"lang": "python",
"repo": "YKato521/ironpython-stubs",
"path": "/release/stubs.min/Autodesk/Revit/DB/__init___parts/TableData.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ __enter__(self: IDisposable) -> object """
pass
def __exit__(self, *args):
""" __exit__(self: IDisposable,exc_type: object,exc_value: object,exc_back: object) """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class_... | code_fim | hard | {
"lang": "python",
"repo": "YKato521/ironpython-stubs",
"path": "/release/stubs.min/Autodesk/Revit/DB/__init___parts/TableData.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ __repr__(self: object) -> str """
pass
FreezeColumnsAndRows = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""set to true if the columns and rows should be unmovable by the slider grips
Get: FreezeColumnsAndRows(self: Tabl... | code_fim | hard | {
"lang": "python",
"repo": "YKato521/ironpython-stubs",
"path": "/release/stubs.min/Autodesk/Revit/DB/__init___parts/TableData.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> (['math'], None),
(['there'], None),
])
def test_match(argv, match):
cmd = Command(argv=argv, commands=TEST_COMMANDS)
assert cmd.match == match<|fim_prefix|># repo: dephell/dephell_argparse path: /tests/test_command.py
# external
import pytest
# project
from dephell_argparse._command imp... | code_fim | hard | {
"lang": "python",
"repo": "dephell/dephell_argparse",
"path": "/tests/test_command.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # partial match
(['prod'], 'math prod'),
(['prod', 'junk'], 'math prod'),
(['do'], 'do something'),
(['something'], 'do something'),
(['something', 'else'], 'do something'),
(['do', 'else'], 'do something'),
(['hello'], 'hello'),
(['hello', 'there'], 'hello there'),
... | code_fim | medium | {
"lang": "python",
"repo": "dephell/dephell_argparse",
"path": "/tests/test_command.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dephell/dephell_argparse path: /tests/test_command.py
# external
import pytest
# project
from dephell_argparse._command import Command
def test_groups():
commands = ('math sum', 'math prod', 'http get', 'hello')
groups = ('math', 'http')
assert Command(argv=[], commands=commands).g... | code_fim | hard | {
"lang": "python",
"repo": "dephell/dephell_argparse",
"path": "/tests/test_command.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> root = Node("Checker")
resultnodes = dict()
worklist = list()
clazz = clazzes['Checker']
setattr(root,"clazz", clazz)
worklist.append(root)
while len(worklist) > 0:
parent = worklist.pop()
subclasses = [sub for sub in parent.c... | code_fim | hard | {
"lang": "python",
"repo": "xl-sec/securityheaders",
"path": "/securityheaders/checkers/checkerfactory.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = set()
for checker in checkers:
result = result.union(self.getleafcheckers(checker))
return list(result)
def getnames_as_tree(self):
return self.tree
def __getnames_as_tree__(self, clazzes):
root = Node("Checker")
resultnodes = ... | code_fim | hard | {
"lang": "python",
"repo": "xl-sec/securityheaders",
"path": "/securityheaders/checkers/checkerfactory.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xl-sec/securityheaders path: /securityheaders/checkers/checkerfactory.py
import securityheaders
from securityheaders import Util
from securityheaders.checkers import *
from securityheaders.singleton import Singleton
from anytree import Node, RenderTree, AsciiStyle
import anytree
import warnings
... | code_fim | hard | {
"lang": "python",
"repo": "xl-sec/securityheaders",
"path": "/securityheaders/checkers/checkerfactory.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def disconnect(self):
"""
Disconnect from the database. If this fails, for instance
if the connection instance doesn't exist, ignore the exception.
"""
try:
self.cursor.close()
self.db.close()
except cx_Oracle.DatabaseError:
... | code_fim | hard | {
"lang": "python",
"repo": "juan-lajarin/super-duper-robot",
"path": "/exportOracletoCSV/cxo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juan-lajarin/super-duper-robot path: /exportOracletoCSV/cxo.py
import cx_Oracle
class Oracle(object):
def connect(self, username, password, hostname, port, servicename):
""" Connect to the database. """
try:
self.db = cx_Oracle.connect(username, password
... | code_fim | hard | {
"lang": "python",
"repo": "juan-lajarin/super-duper-robot",
"path": "/exportOracletoCSV/cxo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
self.cursor.close()
self.db.close()
except cx_Oracle.DatabaseError:
pass
def execute(self, sql, bindvars=None, commit=False):
"""
Execute whatever SQL statements are passed to the method;
commit if specified. Do not spec... | code_fim | hard | {
"lang": "python",
"repo": "juan-lajarin/super-duper-robot",
"path": "/exportOracletoCSV/cxo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Compute confusion matrix
cnf_matrix = confusion_matrix(y_test, pred)
np.set_printoptions(precision=2)
classes = ['Benign', 'Malignant']
# Plot non-normalized confusion matrix
plt.figure()
Dataset.plot_confusion_matrix(cnf_matrix, classes=classes,
... | code_fim | hard | {
"lang": "python",
"repo": "michaeljlove/Cancer_classifier",
"path": "/models/Cancer_clf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michaeljlove/Cancer_classifier path: /models/Cancer_clf.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
from helper.Data ... | code_fim | hard | {
"lang": "python",
"repo": "michaeljlove/Cancer_classifier",
"path": "/models/Cancer_clf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sapcc/networking-cisco path: /networking_cisco/plugins/cisco/cfg_agent/service_helpers/routing_svc_helper_aci.py
# Copyright 2016 Cisco Systems, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance wi... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/networking-cisco",
"path": "/networking_cisco/plugins/cisco/cfg_agent/service_helpers/routing_svc_helper_aci.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _internal_network_added(self, ri, port, ex_gw_port):
super(RoutingServiceHelperAci, self)._internal_network_added(
ri, port, ex_gw_port)
driver = self.driver_manager.get_driver(ri.id)
vrf_name = driver._get_vrf_name(ri)
net_name = ex_gw_port['hosting_inf... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/networking-cisco",
"path": "/networking_cisco/plugins/cisco/cfg_agent/service_helpers/routing_svc_helper_aci.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Get file content function from read_sql_files_to_db.py"""
print(full_path)
bytes = min(32, os.path.getsize(full_path))
raw = open(full_path, 'rb').read(bytes)
if '\\xff\\xfe' in str(raw):
print("utf-16")
the_file = open(full_path, encoding="utf-16",
... | code_fim | medium | {
"lang": "python",
"repo": "jared-ong/data-projects",
"path": "/python/parse_ddl/tests/test_read_file.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jared-ong/data-projects path: /python/parse_ddl/tests/test_read_file.py
"""Test encoding when reading a file."""
import os
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.info('Start reading database')
# read database here
records = {'john': 55,... | code_fim | hard | {
"lang": "python",
"repo": "jared-ong/data-projects",
"path": "/python/parse_ddl/tests/test_read_file.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_extension_use_the_application_bound_to_the_current_context(app, mail):
mailer = Mailer()
mailer.init_app(app)
with app.test_request_context():
mailer.send(mail)
assert mailer.outbox == [mail,]
def test_extension_send_mail(dummy, mail):
dummy.send(mail)
asse... | code_fim | hard | {
"lang": "python",
"repo": "vitalk/flask-mailer",
"path": "/tests/test_extension.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vitalk/flask-mailer path: /tests/test_extension.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
import pytest
from flask_mailer import Mailer
from flask_mailer import send_email
from flask_mailer.util import key
from .test_mail import mail
@pytest.fixture
def dummy(app):
return Mailer(app)
... | code_fim | hard | {
"lang": "python",
"repo": "vitalk/flask-mailer",
"path": "/tests/test_extension.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_send_email_shortcut(app, dummy, mail):
with app.test_request_context():
send_email(mail.subject, mail.text, mail.to)
assert len(dummy.outbox) == 1
sent = dummy.outbox[0]
assert sent.subject == mail.subject
assert sent.text == mail.text
assert sent.to == mail.to<|... | code_fim | hard | {
"lang": "python",
"repo": "vitalk/flask-mailer",
"path": "/tests/test_extension.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: enthought/blusky path: /blusky/wavelets/tests/test_morlet2d.py
from os import path
import unittest
import numpy as np
class TestAlgorithms(unittest.TestCase):
def test_vanilla_factory(self):
"""
Test data generated from the Kymatio libray:
https://github.com/kymatio/... | code_fim | hard | {
"lang": "python",
"repo": "enthought/blusky",
"path": "/blusky/wavelets/tests/test_morlet2d.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> relative_error1 = (
0.5
* np.max(np.abs(wavj1 - test_wav1))
/ np.max(np.abs(wavj1 + test_wav1))
)
self.assertTrue(relative_error1 < 1e-5)
relative_error2 = (
0.5
* np.max(np.abs(wavj2 - test_wav2))
/ n... | code_fim | hard | {
"lang": "python",
"repo": "enthought/blusky",
"path": "/blusky/wavelets/tests/test_morlet2d.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_workers = options['list_workers']
json_output = options['json_output']
requested_worker_name = options.get('worker', None)
if not list_workers and not requested_worker_name:
logger.error("'runworker' missing argument: --list-workers or a worker name")
... | code_fim | hard | {
"lang": "python",
"repo": "ChefAustin/zentral",
"path": "/server/base/management/commands/runworker.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChefAustin/zentral path: /server/base/management/commands/runworker.py
import json
import logging
import sys
from django.core.management.base import BaseCommand
from zentral.core.queues.workers import get_workers
logger = logging.getLogger("zentral.server.base.management.commands.runworker")
<... | code_fim | hard | {
"lang": "python",
"repo": "ChefAustin/zentral",
"path": "/server/base/management/commands/runworker.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: druth314/IDC-API path: /tests/test_cohort_query.py
#
# Copyright 2020, Institute for Systems Biology
#
# 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.a... | code_fim | hard | {
"lang": "python",
"repo": "druth314/IDC-API",
"path": "/tests/test_cohort_query.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = client.post(f'v1/cohorts/{id}/query',
query_string = query_string,
data = json.dumps(queryPreviewBody),
headers=headers)
assert response.content_type == 'application/json'
assert response.status_cod... | code_fim | hard | {
"lang": "python",
"repo": "druth314/IDC-API",
"path": "/tests/test_cohort_query.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> (id, filterSet) = create_cohort_for_test_get_cohort_xxx(client)
queryPreviewBody = {"fields": ['StudyInstanceUID', 'SeriesInstanceUID', 'SOPInstanceUID', 'Modality']}
mimetype = ' application/json'
headers = {
'Content-Type': mimetype,
'Accept': mimetype
}
query_... | code_fim | hard | {
"lang": "python",
"repo": "druth314/IDC-API",
"path": "/tests/test_cohort_query.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: menis/abtools path: /abtools/_phylogeny.py
#!/usr/bin/python
# filename: _phylogeny.py
#
# Copyright (c) 2015 Bryan Briney
# License: The MIT license (http://opensource.org/licenses/MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software
# and asso... | code_fim | hard | {
"lang": "python",
"repo": "menis/abtools",
"path": "/abtools/_phylogeny.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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