text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> return line.encode("ascii", "ignore").decode()
def escape_ansi(line):
ansi_escape = re.compile(r'(?:\x1B[@-_]|[\x80-\x9F])[0-?]*[ -/]*[@-~]')
return ansi_escape.sub('', line)
def sanitize_line(line):
line = remove_non_ascii(line)
line = escape_ansi(line)
line = line.strip()
return... | code_fim | medium | {
"lang": "python",
"repo": "qwertyquerty/QMTR",
"path": "/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RSurya99/sistem-pembayaran-spp-django path: /authentication/migrations/0005_remove_siswa_id_spp.py
# Generated by Django 2.2.12 on 2021-04-01 13:41
from django.db import migrations
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='siswa',
name=... | code_fim | medium | {
"lang": "python",
"repo": "RSurya99/sistem-pembayaran-spp-django",
"path": "/authentication/migrations/0005_remove_siswa_id_spp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='siswa',
name='id_spp',
),
]<|fim_prefix|># repo: RSurya99/sistem-pembayaran-spp-django path: /authentication/migrations/0005_remove_siswa_id_spp.py
# Generated by Django 2.2.12 on 2021-04-01 13:41
from dja... | code_fim | medium | {
"lang": "python",
"repo": "RSurya99/sistem-pembayaran-spp-django",
"path": "/authentication/migrations/0005_remove_siswa_id_spp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('authentication', '0004_auto_20210329_1649'),
]
operations = [
migrations.RemoveField(
model_name='siswa',
name='id_spp',
),
]<|fim_prefix|># repo: RSurya99/sistem-pembayaran-spp-django path: /authentication/migrations/000... | code_fim | easy | {
"lang": "python",
"repo": "RSurya99/sistem-pembayaran-spp-django",
"path": "/authentication/migrations/0005_remove_siswa_id_spp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: psibot/GoogleScraper path: /Examples/headless-firefox.py
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
<|fim_suffix|>options = Options()
options.set_headless(headless=True)
driver = webdri... | code_fim | medium | {
"lang": "python",
"repo": "psibot/GoogleScraper",
"path": "/Examples/headless-firefox.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>options = Options()
options.set_headless(headless=True)
driver = webdriver.Firefox(firefox_binary=binary,
firefox_options=options, executable_path='../Drivers/geckodriver')
driver.get("http://google.com/")
print ("Headless Firefox Initialized")
driver.quit()<|fim_prefix|># repo: psibot/GoogleScraper ... | code_fim | medium | {
"lang": "python",
"repo": "psibot/GoogleScraper",
"path": "/Examples/headless-firefox.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#test
loss_arr = []
for i in range(epochs):
history=model.fit(x_train,y_train,
batch_size=batch_size,
epochs=1,
shuffle=True,
verbose=1)
loss_arr.append( history.history['loss'][0])
x_test = np.copy(x_train)
y_pred = model.predict(x_test)
... | code_fim | hard | {
"lang": "python",
"repo": "ann0218/codehome",
"path": "/tensorflow_learning.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ann0218/codehome path: /tensorflow_learning.py
# -*- coding: utf-8 -*-
import numpy as np
np.set_printoptions(threshold=np.inf)
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import... | code_fim | hard | {
"lang": "python",
"repo": "ann0218/codehome",
"path": "/tensorflow_learning.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: so77id/Programing-examples path: /contests/ev2/01-rango_de_efes/input_creator.py
#!/bin/python3
import math
import os
import random
import re
import sys
<|fim_suffix|> # print(x_i, x_j)
results = [ (x + pow(x - 1, 2)) for x in range(x_i, x_j+1)]
with open(IN_PATH.format(s... | code_fim | hard | {
"lang": "python",
"repo": "so77id/Programing-examples",
"path": "/contests/ev2/01-rango_de_efes/input_creator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> results = [ (x + pow(x - 1, 2)) for x in range(x_i, x_j+1)]
with open(IN_PATH.format(str(i).zfill(2)), 'w') as file:
file.write(f"{x_i} {x_j}\n")
with open(OUT_PATH.format(str(i).zfill(2)), 'w') as file:
for n in results:
file.write(f"{n}\n")<|fim_prefix... | code_fim | medium | {
"lang": "python",
"repo": "so77id/Programing-examples",
"path": "/contests/ev2/01-rango_de_efes/input_creator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: levii/jig-py path: /tests/collector/jig_ast/test_jig_ast.py
from jig.collector.domain.ast import Import, ImportFrom, JigAST
class TestJigASTImport:
def test_simple_import(self):
source = """
import dataclasses
@dataclasses.dataclass(frozen=True)
class Sample:
value: str
... | code_fim | medium | {
"lang": "python",
"repo": "levii/jig-py",
"path": "/tests/collector/jig_ast/test_jig_ast.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nodes = JigAST.parse(source).import_froms()
assert len(nodes) == 1
assert isinstance(nodes[0], ImportFrom)
assert len(nodes[0].names) == 1
assert nodes[0].module == "typing"
assert nodes[0].names[0].name == "Optional"
assert nodes[0].level == 0
... | code_fim | hard | {
"lang": "python",
"repo": "levii/jig-py",
"path": "/tests/collector/jig_ast/test_jig_ast.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert len(nodes) == 1
assert isinstance(nodes[0], ImportFrom)
assert len(nodes[0].names) == 1
assert nodes[0].module == "typing"
assert nodes[0].names[0].name == "*"
assert nodes[0].level == 0<|fim_prefix|># repo: levii/jig-py path: /tests/collector/jig_as... | code_fim | hard | {
"lang": "python",
"repo": "levii/jig-py",
"path": "/tests/collector/jig_ast/test_jig_ast.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cmu-db/noisepage path: /script/testing/replication/log_throughput/__main__.py
import argparse
from .constants import (DEFAULT_BENCHMARK, DEFAULT_CONNECTION_THREADS,
DEFAULT_SCALE_FACTOR, TATP, TPCC, YCSB)
from .log_throughput import log_throughput
from .test_type import T... | code_fim | hard | {
"lang": "python",
"repo": "cmu-db/noisepage",
"path": "/script/testing/replication/log_throughput/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> log_throughput(TestType(args["test-type"]), args["build_type"], args["replication_enabled"],
args["async_replication"], args["async_commit"], args["oltp_benchmark"],
int(args["oltp_scale_factor"]), args["log_file"], int(args["connection_threads"]),
... | code_fim | hard | {
"lang": "python",
"repo": "cmu-db/noisepage",
"path": "/script/testing/replication/log_throughput/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Dummy interface for unit tests.
"""
def bar(baz):
""" Just a note.
"""<|fim_prefix|># repo: wistbean/learn_python3_spider path: /stackoverflow/venv/lib/python3.6/site-packages/zope/interface/tests/idummy.py
##################################################################... | code_fim | medium | {
"lang": "python",
"repo": "wistbean/learn_python3_spider",
"path": "/stackoverflow/venv/lib/python3.6/site-packages/zope/interface/tests/idummy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wistbean/learn_python3_spider path: /stackoverflow/venv/lib/python3.6/site-packages/zope/interface/tests/idummy.py
##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software... | code_fim | medium | {
"lang": "python",
"repo": "wistbean/learn_python3_spider",
"path": "/stackoverflow/venv/lib/python3.6/site-packages/zope/interface/tests/idummy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Routine to create the blinking motion
def blink(timedata):
UpperEyeLid.moveTo(150) # close the upper eye lid
LowerEyeLid.moveTo(150) # close the lower eye lid
sleep(0.5)
UpperEyeLid.moveTo(45) # Open the upper eye lid
LowerEyeLid.moveTo(45) # Open the lower eye lid
BlinkClock.setInterval(randint(5... | code_fim | hard | {
"lang": "python",
"repo": "ProjectHewitt/Fred_Inmoov",
"path": "/Old_Versions/Fred_2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>HeadYaw = Runtime.createAndStart("HeadYaw", "Servo")
# attach it to the pwm board - pin 8
HeadYaw.attach(Head,8)
HeadYaw.setMinMax(0,180)
HeadYaw.map(0,180,1,180)
HeadYaw.setRest(90)
HeadYaw.setInverted(False)
HeadYaw.setVelocity(120)
HeadYaw.setAutoDisable(True)
HeadYaw.rest()
HeadPitch = Runtime.create... | code_fim | hard | {
"lang": "python",
"repo": "ProjectHewitt/Fred_Inmoov",
"path": "/Old_Versions/Fred_2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProjectHewitt/Fred_Inmoov path: /Old_Versions/Fred_2.py
########################################
#
# Program Code for Fred Inmoov
# Of the Cyber_One YouTube Channel
#
# This is version 2 with Blink and TTS
#
######################################### generate random integer values
from random impo... | code_fim | hard | {
"lang": "python",
"repo": "ProjectHewitt/Fred_Inmoov",
"path": "/Old_Versions/Fred_2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if with_target:
target_names=sorted(list(set(targets)))
target=[]
for t in targets:
target.append(target_names.index(t))
data.targets=np.array(target)
data.target_names=target_names
else:
target_names=[]
data.targets=None
... | code_fim | hard | {
"lang": "python",
"repo": "bblais/Classy",
"path": "/classy/bio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bblais/Classy path: /classy/bio.py
import classy.datasets
from .Struct import Struct
import os
import glob
import numpy as np
def load_sequences(fname,sheet=None,verbose=True):
import xlrd
base,ext=os.path.splitext(fname)
data=Struct()
data.DESCR="Sequences"
data.data=[... | code_fim | hard | {
"lang": "python",
"repo": "bblais/Classy",
"path": "/classy/bio.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gabrielmonzato20/testePython path: /controller/OrderController.py
from flask import request
from flask_classful import FlaskView, route
import service.OrderService
from Validation.OrderValidate import OrderValidate
class OrderController(FlaskView):
def __init__(self):
self.serve = ... | code_fim | medium | {
"lang": "python",
"repo": "gabrielmonzato20/testePython",
"path": "/controller/OrderController.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.serve.delete(id)
@route("/<int:id>",methods=['GET'])
def read(self,id):
return self.serve.read(id)
@route("/",methods=['GET'])
def readAll(self):
return self.serve.readAll()<|fim_prefix|># repo: gabrielmonzato20/testePython path: /controller/OrderCo... | code_fim | medium | {
"lang": "python",
"repo": "gabrielmonzato20/testePython",
"path": "/controller/OrderController.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with translation.override('en-US'):
assert make_key(u'é@øel') == 'eb7592119dace3b998755ef61d90b91b'
assert make_key(
u'é@øel', with_locale=False) == 'f40676a34ef1787123e49e1317f9ed31'
with translation.override('fr'):
assert make_key(u'é@øel') == 'e0c0ff9a07c763506dc6d... | code_fim | medium | {
"lang": "python",
"repo": "deepanshu-jain1999/addons-server",
"path": "/src/olympia/lib/tests/test_cache.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepanshu-jain1999/addons-server path: /src/olympia/lib/tests/test_cache.py
# -*- coding: utf-8 -*-
from django.test.utils import override_settings
from django.utils import translation
from olympia.lib.cache import cached, make_key
@override_settings(KEY_PREFIX='amo:test:')
def test_make_key()... | code_fim | medium | {
"lang": "python",
"repo": "deepanshu-jain1999/addons-server",
"path": "/src/olympia/lib/tests/test_cache.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>INSTALLED_APPS + ('wagtail_textract',)<|fim_prefix|># repo: overcastsoftware/wagtail_textract path: /src/wagtail_textract/settings.py
from wagtail.tests.settings import *
<|fim_middle|>
WAGTAILDOCS_DOCUMENT_MODEL = 'wagtail_textract.document'
INSTALLED_APPS = | code_fim | medium | {
"lang": "python",
"repo": "overcastsoftware/wagtail_textract",
"path": "/src/wagtail_textract/settings.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: overcastsoftware/wagtail_textract path: /src/wagtail_textract/settings.py
from wagtail.tests.settings import *
<|fim_suffix|>INSTALLED_APPS + ('wagtail_textract',)<|fim_middle|>
WAGTAILDOCS_DOCUMENT_MODEL = 'wagtail_textract.document'
INSTALLED_APPS = | code_fim | medium | {
"lang": "python",
"repo": "overcastsoftware/wagtail_textract",
"path": "/src/wagtail_textract/settings.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def intersects_bounds(self, bounds, inds=None):
x0, y0, x1, y1 = bounds
if x1 < x0:
x0, x1 = x1, x0
if y1 < y0:
y0, y1 = y1, y0
xs = self.x
ys = self.y
if inds is not None:
xs = xs[inds]
ys = ys[inds]
... | code_fim | hard | {
"lang": "python",
"repo": "xhochy/spatialpandas",
"path": "/spatialpandas/geometry/point.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xhochy/spatialpandas path: /spatialpandas/geometry/point.py
from __future__ import absolute_import
import numpy as np
from pandas.core.dtypes.dtypes import register_extension_dtype
from spatialpandas.geometry.base import GeometryDtype
from spatialpandas.geometry.basefixed import GeometryFixed, G... | code_fim | hard | {
"lang": "python",
"repo": "xhochy/spatialpandas",
"path": "/spatialpandas/geometry/point.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def from_geopandas(cls, ga):
"""
Build a spatialpandas MultiPointArray from a geopandas GeometryArray or
GeoSeries.
Args:
ga: A geopandas GeometryArray or GeoSeries of MultiPoint or
Point shapes.
Returns:
Mu... | code_fim | hard | {
"lang": "python",
"repo": "xhochy/spatialpandas",
"path": "/spatialpandas/geometry/point.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: briandrawert/stochss path: /app/lib/molns/MolnsLib/DockerProvider.py
import logging
import os
import tempfile
import time
import DockerProxy
import constants
import installSoftware
from collections import OrderedDict
from DockerSSH import DockerSSH
from constants import Constants
from molns_provi... | code_fim | hard | {
"lang": "python",
"repo": "briandrawert/stochss",
"path": "/app/lib/molns/MolnsLib/DockerProvider.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return named_dockerfile, dockerfile_file
@staticmethod
def _preprocess(command):
""" Prepends "shell only" commands with '/bin/bash -c'. """
for shell_command in DockerProxy.DockerProxy.shell_commands:
if shell_command in command:
replace_string... | code_fim | hard | {
"lang": "python",
"repo": "briandrawert/stochss",
"path": "/app/lib/molns/MolnsLib/DockerProvider.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> _flows = KW_ARGS["flows"]
if path == "robots.txt":
return static(environ, start_response, "static/robots.txt")
elif path.startswith("static/"):
return static(environ, start_response, path)
elif path.startswith("export/"):
return static(environ, start_response, path... | code_fim | hard | {
"lang": "python",
"repo": "selfissued/oidctest",
"path": "/test_tool/test_rp/rplib/wb/wbrp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: selfissued/oidctest path: /test_tool/test_rp/rplib/wb/wbrp.py
import logging
from mako.lookup import TemplateLookup
from oic.utils.http_util import Response
from oic.utils.http_util import ServiceError
from oic.utils.http_util import NotFound
from oidctest.common import main_setup
from oidctest.... | code_fim | hard | {
"lang": "python",
"repo": "selfissued/oidctest",
"path": "/test_tool/test_rp/rplib/wb/wbrp.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def flow_list(environ, start_response, flows, done):
resp = Response(mako_template="flowlist.mako",
template_lookup=LOOKUP,
headers=[])
argv = {"base": KW_ARGS["conf"].BASE, "flows": flows, "done": done}
return resp(environ, start_response, **argv)
de... | code_fim | hard | {
"lang": "python",
"repo": "selfissued/oidctest",
"path": "/test_tool/test_rp/rplib/wb/wbrp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.show()
# Generate training and testing set.
X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size = 0.5)<|fim_prefix|># repo: PacktPublishing/Learn-Machine-Learning-in-3-Hours path: /Section 5/Video 3/S5V3_example.py
import numpy as np
import matplotlib.pyplot as plt... | code_fim | medium | {
"lang": "python",
"repo": "PacktPublishing/Learn-Machine-Learning-in-3-Hours",
"path": "/Section 5/Video 3/S5V3_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/Learn-Machine-Learning-in-3-Hours path: /Section 5/Video 3/S5V3_example.py
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
if __name__ == "__main__":
FILENAME = 'sample.n... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Learn-Machine-Learning-in-3-Hours",
"path": "/Section 5/Video 3/S5V3_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Scale data.
scaler = StandardScaler()
scaler.fit(X)
X_scaled = scaler.transform(X)
# Plot scaled data.
fig2, ax2 = plt.subplots()
ax2.set_xlabel('Stress 1 (Scaled)')
ax2.set_ylabel('Stress 2 (MPa)')
sc = ax2.scatter(X_scaled, y)
plt.show()
# Generate traini... | code_fim | medium | {
"lang": "python",
"repo": "PacktPublishing/Learn-Machine-Learning-in-3-Hours",
"path": "/Section 5/Video 3/S5V3_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.S = np.swapaxes(self.S, 0, 1)
self.S = np.swapaxes(self.S, 1, 2)
def estimate(self):
pc = []
for data in self.S:
out = fss(data, self.args['Ls'], self.args['ps'],
vary_exponents=False)
pc.append(out.params['pc'].value... | code_fim | hard | {
"lang": "python",
"repo": "brands-d/Percolation",
"path": "/percolation/data_processing/crit_exponents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brands-d/Percolation path: /percolation/data_processing/crit_exponents.py
from pathlib import Path
from configparser import ConfigParser
import numpy as np
from percolation.model.fss import fss
class CritExponentEstimator:
def __init__(self, path):
<|fim_suffix|> def read_output(self)... | code_fim | hard | {
"lang": "python",
"repo": "brands-d/Percolation",
"path": "/percolation/data_processing/crit_exponents.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> processors = int(config.get('main', 'num_processors'))
Ls = [int(x) for x in config.get('main', 'lattice-sizes').split(',')]
start, stop, num = config.get('main', 'probabilities').split(',')
ps = np.linspace(float(start), float(stop), int(num), endpoint=True)
num = ... | code_fim | hard | {
"lang": "python",
"repo": "brands-d/Percolation",
"path": "/percolation/data_processing/crit_exponents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kernel72/game-of-words path: /backend/src/tools/indexDictonary.py
# python 3.9 required
import sys
import json
from dataclasses import dataclass, asdict
DICTIONARY_PATH = "../../dicts/hagen-morf.txt"
@dataclass
class MainWord:
word: str
included_words: list[str]
def load_and_filter_w... | code_fim | hard | {
"lang": "python",
"repo": "kernel72/game-of-words",
"path": "/backend/src/tools/indexDictonary.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sorted_words_list = sorted(words_list)
print("Getting main words")
main_words_index = list(
map(
lambda w: MainWord(word=w, included_words=[]),
filter(lambda w: len(w) > 13, sorted_words_list),
)
)
print("Indexing other words")
for indx, ... | code_fim | hard | {
"lang": "python",
"repo": "kernel72/game-of-words",
"path": "/backend/src/tools/indexDictonary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if main_word_map[ch] == 0:
del main_word_map[ch]
return True
def index_words(words_list: set[str]) -> list[MainWord]:
sorted_words_list = sorted(words_list)
print("Getting main words")
main_words_index = list(
map(
lambda w: MainWord(word=w, in... | code_fim | hard | {
"lang": "python",
"repo": "kernel72/game-of-words",
"path": "/backend/src/tools/indexDictonary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key in restrict:
if key <= len(l) and l[key - 1] != restrict[key]:
allow = False
if allow and (allow_smaller or len(l) == depth):
yield l
def __traverse(ndict, depth):
if depth == 0:
return []
if not isinstance(ndict, dict):
... | code_fim | hard | {
"lang": "python",
"repo": "17451k/clade",
"path": "/clade/types/nested_dict.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 17451k/clade path: /clade/types/nested_dict.py
# Copyright (c) 2020 ISP RAS (http://www.ispras.ru)
# Ivannikov Institute for System Programming of the Russian Academy of Sciences
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance w... | code_fim | hard | {
"lang": "python",
"repo": "17451k/clade",
"path": "/clade/types/nested_dict.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
depth: limit depth of the dictionary to traverse.
restrict: ability to restrict output by specifying the exact value
that must be at a specified position of the output list.
Example: restrict={3: "calls"}.
allow_smaller: allow to return... | code_fim | hard | {
"lang": "python",
"repo": "17451k/clade",
"path": "/clade/types/nested_dict.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: archeranimesh/Geeks4Geeks-Python path: /SRC/01_Array/05_array_rotation.py
# Finding element in a sorted but rotated array
# http://theoryofprogramming.com/2017/12/16/find-pivot-element-sorted-rotated-array/
# https://www.geeksforgeeks.org/python-program-for-binary-search/
# https://www.geeksforge... | code_fim | hard | {
"lang": "python",
"repo": "archeranimesh/Geeks4Geeks-Python",
"path": "/SRC/01_Array/05_array_rotation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
arr = [12,14,18,2, 3, 6,8,9]
binary_arr = [3,6,8,9,12,14,18,21]
x = 18
result = binary_search(binary_arr, 0, len(binary_arr) - 1, x, True)
if result != -1:
print("The element is found in index ", result, " value is ", binary_arr[result], " matches wi... | code_fim | hard | {
"lang": "python",
"repo": "archeranimesh/Geeks4Geeks-Python",
"path": "/SRC/01_Array/05_array_rotation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if key == arr[mid]:
return mid
if key > arr[mid]:
return geeks_binary_search(arr, (mid + 1), high, key)
return geeks_binary_search(arr, low, (mid -1), key)
# Normal Binary Search Function.
def binary_search(arr, low, high, x, debug=False):
if debug:
print("arr = "... | code_fim | hard | {
"lang": "python",
"repo": "archeranimesh/Geeks4Geeks-Python",
"path": "/SRC/01_Array/05_array_rotation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Gives bonus points to everyone in sequence netids
This is a PROCEDURE. It modifies the contents of grades. However, it only modifies
grades with a key that appears in the sequence netids.
Parameter grades: The dictionary of student grades
Precondition: grades has ne... | code_fim | medium | {
"lang": "python",
"repo": "LizzieDeng/kalman_fliter_analysis",
"path": "/docs/cornell CS class/lesson 19. Dictionaries/demos/grader2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LizzieDeng/kalman_fliter_analysis path: /docs/cornell CS class/lesson 19. Dictionaries/demos/grader2.py
"""
Student grade example for dictionaries.
This module shows several a mutable function on dictionaries.
Author: Walker M. White
Date: June 7, 2019
"""
# Global variable store the grade s... | code_fim | medium | {
"lang": "python",
"repo": "LizzieDeng/kalman_fliter_analysis",
"path": "/docs/cornell CS class/lesson 19. Dictionaries/demos/grader2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmegahan/TwitchStats path: /TwitchGraph/Stream.py
import datetime
import os
import threading
import logging
import sys
import requests
import time
from JsonEditor import JsonEditor
from Statistics import Statistics
import TwitchAPI
from TwitchBot import TwitchThread
from TwitchGraph import Graph
... | code_fim | hard | {
"lang": "python",
"repo": "dmegahan/TwitchStats",
"path": "/TwitchGraph/Stream.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while 1:
#if stream is online
if TwitchAPI.isOnline(self.stream):
#start the bots up
if self.GrabBot is None and self.IRCBot is None:
#initialize the dates and filepaths
self.initFileNames()
... | code_fim | hard | {
"lang": "python",
"repo": "dmegahan/TwitchStats",
"path": "/TwitchGraph/Stream.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> append += ' '
for x in files:
print "%s%s" %(point, x)
directory = [f for f in os.listdir(path) if os.path.isdir(path+'/'+f)]
for x in directory:
point = point.replace('├', '└')
print "%s%s%s%s" %(point, CYAN, x, WHITE)
dir_tree(path+'/'+x, append, string)<|fim_prefix|># repo: flouthoc/dir... | code_fim | medium | {
"lang": "python",
"repo": "flouthoc/dir_tree",
"path": "/dir_tree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flouthoc/dir_tree path: /dir_tree.py
# -*- coding: utf-8 -*-
#_author_ = flouthoc (http://github.com/flouthoc, http://twitter.com/flouthoc)
import os
def dir_tree(path, append, string=""):
<|fim_suffix|> for x in files:
print "%s%s" %(point, x)
directory = [f for f in os.listdir(path) if os.p... | code_fim | hard | {
"lang": "python",
"repo": "flouthoc/dir_tree",
"path": "/dir_tree.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jhong16/HLD-TT path: /2019/src/truthtrees.py
# -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
import argparse
from forseti.formula import Formula, Predicate, Symbol, Not, And, Or, If, Iff
import forseti.parser
from six import string_types
from src import util
from ... | code_fim | hard | {
"lang": "python",
"repo": "jhong16/HLD-TT",
"path": "/2019/src/truthtrees.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Readjust the formula id of all nodess in self.nodess
@effect: Make all of the TreeNode's node_id match there location in self.nodes
"""
for i in range(lowerbound, len(self.nodes)):
if self.nodes[i]:
self.nodes[i].node_id = i
de... | code_fim | hard | {
"lang": "python",
"repo": "jhong16/HLD-TT",
"path": "/2019/src/truthtrees.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def branch(self, node, formula = None):
"""
Branch on a node using a parent formula
@param: Node is a TreeNode that is being branched on
@param: formula is the "parent" formula of the branch
return: true on successful branch
false on not success... | code_fim | hard | {
"lang": "python",
"repo": "jhong16/HLD-TT",
"path": "/2019/src/truthtrees.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NicolasLM/feedsubs path: /reader/http_fetcher.py
from datetime import datetime
import hashlib
from logging import getLogger
from typing import Optional
import attr
from allauth.utils import build_absolute_uri
from django.conf import settings
from django.urls import reverse
from django.utils.http... | code_fim | hard | {
"lang": "python",
"repo": "NicolasLM/feedsubs",
"path": "/reader/http_fetcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_user_agent(subscriber_count: Optional[int]=None,
feed_id: Optional[int]=None) -> str:
"""Generate a user-agent allowing publisher to gather subscribers count.
See https://support.feed.press/article/66-how-to-be-a-good-feed-fetcher
"""
options = list()
if se... | code_fim | hard | {
"lang": "python",
"repo": "NicolasLM/feedsubs",
"path": "/reader/http_fetcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.unix_time = tmp_list[0] + tmp_list[1]
self.mac_addr = tmp_list[2] + tmp_list[3] + tmp_list[4][:4]
self.pid_hex = tmp_list[4][4:9]
self.sequence_num = tmp_list[4][9:]
_timestamp = self.__hex2int(_hex_str=self.unix_time) / 10.0 ** 5
_res_info['timesta... | code_fim | hard | {
"lang": "python",
"repo": "smuer/timi_uuid",
"path": "/timi_uuid/main_uuid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smuer/timi_uuid path: /timi_uuid/main_uuid.py
# coding: utf-8
import os
import time
import uuid
from datetime import datetime
class TimiUUID(object):
""" 单机实现自增UUID发号器的功能，能够集成timestamp, mac_addr, pid, seq_number等信息。使用方法如下:
from timi_uuid import TimiUUID
new_obj = TimiUUID()
... | code_fim | hard | {
"lang": "python",
"repo": "smuer/timi_uuid",
"path": "/timi_uuid/main_uuid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>while(p.health > 0):
line = input("> ")
args = line.split()
if len(args) > 0:
commandFound = False
for c in Commands.keys():
if args[0] == c[:len(args[0])]:
Commands[c](p)
commandFound = True
break
if not commandFound:
print ("%s doesn't understand the... | code_fim | hard | {
"lang": "python",
"repo": "shreekanti/rpygame",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shreekanti/rpygame path: /main.py
from random import randint
from character import Character
from enemy import Enemy
from player import Player
<|fim_suffix|>while(p.health > 0):
line = input("> ")
args = line.split()
if len(args) > 0:
commandFound = False
for c in Commands.keys():
... | code_fim | hard | {
"lang": "python",
"repo": "shreekanti/rpygame",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yzoz/python-option-calculator path: /searching.py
from pricing import Pricing
#in deep development
class Search(Pricing):
def searchDelta(self, fPrice, deep, acc, paramD, params):
"""if paramD['dType'] == 'C':
if paramD['quant'] < 0:
direct = 'U'
... | code_fim | hard | {
"lang": "python",
"repo": "yzoz/python-option-calculator",
"path": "/searching.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dType = 'F'
strike = 0
price = 0
quant = -1
vola = 0
paramD_1 = {'dType': dType, 'price': price, 'quant': quant, 'strike': strike, 'vola': vola, 'exp': exp}
dType = 'F'
strike = 0
price = 0
quant = 1
vola = 0
paramD1 = {'dType': dType, 'price': price, 'quant': quant, 'strike': strike, 'vola': vola, 'exp'... | code_fim | hard | {
"lang": "python",
"repo": "yzoz/python-option-calculator",
"path": "/searching.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dType = 'P'
quant = 1
price = 100
strike = 15000
vola = 0.75
params.append({'dType': dType, 'price': price, 'quant': quant, 'strike': strike, 'vola': vola, 'exp': exp})
dType = 'P'
quant = -1
price = 25
strike = 10000
vola = 1.5
params.append({'dType': dType, 'price': price, 'quant': quant, 'strike': str... | code_fim | hard | {
"lang": "python",
"repo": "yzoz/python-option-calculator",
"path": "/searching.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RiptideBo/folium path: /folium/plugins/__init__.py
# -*- coding: utf-8 -*-
"""
Folium plugins
--------------
Add different objects/effects on a folium map.
"""
<|fim_suffix|>__all__ = [
'MarkerCluster',
'ScrollZoomToggler',
'Terminator',
'BoatMarker',
'TimestampedGeoJson',
... | code_fim | hard | {
"lang": "python",
"repo": "RiptideBo/folium",
"path": "/folium/plugins/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = [
'MarkerCluster',
'ScrollZoomToggler',
'Terminator',
'BoatMarker',
'TimestampedGeoJson',
'HeatMap',
'ImageOverlay',
'Fullscreen',
'PolyLineTextPath',
'FloatImage'
]<|fim_prefix|># repo: RiptideBo/folium path: /folium/plugins/__init__.py
# -*- coding:... | code_fim | hard | {
"lang": "python",
"repo": "RiptideBo/folium",
"path": "/folium/plugins/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1):
super().__init__(parent, invokingState)
self.parser = parser
def getRuleIndex(self):
return seedotParser.RULE_expr
def copyFrom(self, ctx:ParserRuleContext... | code_fim | hard | {
"lang": "python",
"repo": "MJ10/EdgeML",
"path": "/tools/SeeDot/seedot/compiler/antlr/seedotParser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MJ10/EdgeML path: /tools/SeeDot/seedot/compiler/antlr/seedotParser.py
.state = 51
self._errHandler.sync(self)
_la = self._input.LA(1)
while _la==seedotParser.T__3:
self.state = 47
self.match(seedotParser.T__3)... | code_fim | hard | {
"lang": "python",
"repo": "MJ10/EdgeML",
"path": "/tools/SeeDot/seedot/compiler/antlr/seedotParser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MJ10/EdgeML path: /tools/SeeDot/seedot/compiler/antlr/seedotParser.py
def IntConst(self, i:int=None):
if i is None:
return self.getTokens(seedotParser.IntConst)
else:
return self.getToken(seedotParser.IntConst, i)
def expr(s... | code_fim | hard | {
"lang": "python",
"repo": "MJ10/EdgeML",
"path": "/tools/SeeDot/seedot/compiler/antlr/seedotParser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nipy/nipy path: /nipy/io/tests/test_save.py
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from __future__ import with_statement
from __future__ import absolute_import
import numpy as np
from nibabel.affines import from_matvec
... | code_fim | hard | {
"lang": "python",
"repo": "nipy/nipy",
"path": "/nipy/io/tests/test_save.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_save4():
# Same as test_save3 except we have reordered the 'ijk' input axes.
shape = (13,5,7,3)
step = np.array([3.45,2.3,4.5,6.9])
# When the input coords are in the 'ljki' order, the affines get
# rearranged. Note that the 'start' below, must be 0 for
# non-spatial dime... | code_fim | hard | {
"lang": "python",
"repo": "nipy/nipy",
"path": "/nipy/io/tests/test_save.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_save2():
# A test to ensure that when a file is saved, the affine and the
# data agree. This image comes from a NIFTI file
shape = (13,5,7,3)
step = np.array([3.45,2.3,4.5,6.93])
cmap = api.AffineTransform.from_start_step('ijkt', 'xyzt', [1,3,5,0], step)
data = np.random... | code_fim | hard | {
"lang": "python",
"repo": "nipy/nipy",
"path": "/nipy/io/tests/test_save.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
x: A 4-D tensorflow tensor.
training: If `True`, add the spectral norm assign ops.
name: String to pass to the variable scope context.
Returns:
A new volume with self-attention having been applied.
"""
with tf.variable_scope(name):
_, h, w, num_channels = x.shape.as_list(... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/gan",
"path": "/tensorflow_gan/examples/self_attention_estimator/ops.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/gan path: /tensorflow_gan/examples/self_attention_estimator/ops.py
# coding=utf-8
# Copyright 2023 The TensorFlow GAN Authors.
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/gan",
"path": "/tensorflow_gan/examples/self_attention_estimator/ops.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not hasattr(Databases, name):
raise InvalidName("Database name is Invalid")
self._database = client[name]
@property
def collection(self):
if self._collection is None:
raise InvalidName("Collection name is None")
return self._collection
... | code_fim | hard | {
"lang": "python",
"repo": "team-12-csc-510/adilytics",
"path": "/src/database/init_db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: team-12-csc-510/adilytics path: /src/database/init_db.py
import os
from motor.motor_asyncio import AsyncIOMotorClient # type: ignore
from pymongo.errors import InvalidName
<|fim_suffix|> def __int__(self):
self._database = None
self._collection = None
@property
def ... | code_fim | hard | {
"lang": "python",
"repo": "team-12-csc-510/adilytics",
"path": "/src/database/init_db.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self._database is None:
raise InvalidName("Database is None")
return self._database
@database.setter
def database(self, name: str):
if not hasattr(Databases, name):
raise InvalidName("Database name is Invalid")
self._database = client[nam... | code_fim | hard | {
"lang": "python",
"repo": "team-12-csc-510/adilytics",
"path": "/src/database/init_db.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # always include a default feincms page, so we can retrieve
# top-level navigation
return {
'feincms_page': Page.objects.in_navigation().first()
}<|fim_prefix|># repo: jpkarlsberg/readux path: /readux/pages/context_processors.py
from feincms.module.page.models import Page
<|fim_m... | code_fim | easy | {
"lang": "python",
"repo": "jpkarlsberg/readux",
"path": "/readux/pages/context_processors.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpkarlsberg/readux path: /readux/pages/context_processors.py
from feincms.module.page.models import Page
<|fim_suffix|> # always include a default feincms page, so we can retrieve
# top-level navigation
return {
'feincms_page': Page.objects.in_navigation().first()
}<|fim_m... | code_fim | easy | {
"lang": "python",
"repo": "jpkarlsberg/readux",
"path": "/readux/pages/context_processors.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
down = subs[index+1].get_last_read()
except IndexError:
down = None
left, right = item.get_siblings()
subs[index].last_read = item
subs[index].save()
context.update({
'up': up,
'down': down,
... | code_fim | hard | {
"lang": "python",
"repo": "ImmaculateObsession/nest",
"path": "/reader/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ImmaculateObsession/nest path: /reader/views.py
from django.views.generic import TemplateView
from django.views.generic.detail import DetailView
from reader.models import Item, Reader
class ReaderView(TemplateView):
template_name = "reader/item.html"
def get_context_data(self, **kwarg... | code_fim | hard | {
"lang": "python",
"repo": "ImmaculateObsession/nest",
"path": "/reader/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onicagroup/runway path: /typings/docker/types/containers.pyi
"""This type stub file was generated by pyright."""
# pylint: disable=C,E,W,R
from __future__ import annotations
from .base import DictType
class LogConfigTypesEnum:
_values = ...
class LogConfig(DictType):
types = LogConfigT... | code_fim | hard | {
"lang": "python",
"repo": "onicagroup/runway",
"path": "/typings/docker/types/containers.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def host_config_version_error(param, version, less_than=...): ...
def host_config_value_error(param, param_value): ...
def host_config_incompatible_error(param, param_value, incompatible_param): ...
class ContainerConfig(dict):
def __init__(
self,
version,
image,
comma... | code_fim | hard | {
"lang": "python",
"repo": "onicagroup/runway",
"path": "/typings/docker/types/containers.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: enihsyou/Sorting-algorithm path: /algorithm_Python/__init__.py
# -*- coding: utf-8 -*-
"""
File name: __init__
Reference:
Introduction:
Date: 2016-05-20
Last modified: 2016-05-22
Author: enihsyou
"""
import algorithm.bubble_sort
imp<|fim_suffix|>k_sort
import algorithm.selection_sort
__all__ = [... | code_fim | medium | {
"lang": "python",
"repo": "enihsyou/Sorting-algorithm",
"path": "/algorithm_Python/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>k_sort', 'build_in']
n2 = ['bubble_sort', 'cocktail_shaker_sort', 'selection_sort',
'insertion_sort']
nlogn = ['heap_sort', 'merge_sort', 'quick_sort', 'build_in']<|fim_prefix|># repo: enihsyou/Sorting-algorithm path: /algorithm_Python/__init__.py
# -*- coding: utf-8 -*-
"""
File name: __init__
Ref... | code_fim | hard | {
"lang": "python",
"repo": "enihsyou/Sorting-algorithm",
"path": "/algorithm_Python/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> list = {}
list['name'] = '燈具照明系統'
list['id'] = 'lighting-system'
lighting_system = {}
lighting_system['lightings'] = '燈具'
lighting_system['lighting-systems'] = '照明'
list['sub'] = lighting_system
return list
# 電池 batteries
class Batteries(object):
def b... | code_fim | hard | {
"lang": "python",
"repo": "a1b2c3d4e5x/spider_iyp",
"path": "/const/sub_categories/industry/electrical_material.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> list['sub'] = batteries
return list
# 熔接焊接電熱 electric-welding-service
class ElectricWeldingService(object):
def electric_welding_service() -> Dict[str, Dict[str, str]]:
list = {}
list['name'] = '熔接焊接電熱'
list['id'] = 'electric-welding-service'
electric_welding_servi... | code_fim | hard | {
"lang": "python",
"repo": "a1b2c3d4e5x/spider_iyp",
"path": "/const/sub_categories/industry/electrical_material.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: a1b2c3d4e5x/spider_iyp path: /const/sub_categories/industry/electrical_material.py
from typing import Dict
from ..base_category import BaseCategory
# 冷凍空調設備 air-conditioning-supplies
class AirConditioningSupplies(object):
def air_conditioning_supplies() -> Dict[str, Dict[str, str]]:
lis... | code_fim | hard | {
"lang": "python",
"repo": "a1b2c3d4e5x/spider_iyp",
"path": "/const/sub_categories/industry/electrical_material.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: baronrustamov/gsevpt path: /tests/views/test_organizer.py
import pytest
@pytest.mark.parametrize("db_error", [True, False])
def test_create(client, app, utils, seeder, mocker, db_error):
user_id, admin_unit_id = seeder.setup_base()
url = utils.get_url("manage_admin_unit_organizer_creat... | code_fim | hard | {
"lang": "python",
"repo": "baronrustamov/gsevpt",
"path": "/tests/views/test_organizer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.parametrize("db_error", [True, False])
@pytest.mark.parametrize("non_match", [True, False])
def test_delete(client, seeder, utils, app, mocker, db_error, non_match):
user_id, admin_unit_id = seeder.setup_base()
organizer_id = seeder.upsert_event_organizer(admin_unit_id, "Mein Organisa... | code_fim | hard | {
"lang": "python",
"repo": "baronrustamov/gsevpt",
"path": "/tests/views/test_organizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if verbose:
print('Downloading "{}" => "{}"'.format(object, target))
cw.download_object(bucket, object, target)
object_count = object_count + 1
if object_count == 0:
raise DownloadError('No objects in bucket "{}" match the '
... | code_fim | hard | {
"lang": "python",
"repo": "CODAIT/cos-utils",
"path": "/cos_utils/download_files.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CODAIT/cos-utils path: /cos_utils/download_files.py
#!/usr/bin/env python
#
# Copyright 2018-2019 IBM Corp. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the Li... | code_fim | hard | {
"lang": "python",
"repo": "CODAIT/cos-utils",
"path": "/cos_utils/download_files.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Bad data is bad
with self.raises(s_exc.BadArg) as cm:
s_config.Config.getConfFromCell(SchemaCell, {'test:newp': 'haha'})
with self.raises(s_exc.BadConfValu) as cm:
s_config.Config.getConfFromCell(SchemaCell, {'apikey': 1234})
self.eq(cm.exception.... | code_fim | hard | {
"lang": "python",
"repo": "vertexproject/synapse",
"path": "/synapse/tests/test_lib_config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vertexproject/synapse path: /synapse/tests/test_lib_config.py
import copy
import regex
import argparse
import yaml
import synapse.exc as s_exc
import synapse.common as s_common
import synapse.lib.cell as s_cell
import synapse.lib.config as s_config
import synapse.tests.utils as s_test
class ... | code_fim | hard | {
"lang": "python",
"repo": "vertexproject/synapse",
"path": "/synapse/tests/test_lib_config.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def on_train_end(self, logs={}):
self.train_end = dt.datetime.now()<|fim_prefix|># repo: psteinb/deeprace path: /src/deeprace/models/keras_details/callbacks.py
import keras
from keras.callbacks import Callback
import datetime as dt
class stopwatch(keras.callbacks.Callback):
def on_train... | code_fim | medium | {
"lang": "python",
"repo": "psteinb/deeprace",
"path": "/src/deeprace/models/keras_details/callbacks.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.