text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> def remove_info(i):
with mock.patch("os.getpid", lambda: 76540 + i):
manager.remove_info_file()
self.assertCountEqual(manager.get_all(), [])
add_info(1)
self.assertCountEqual(manager.get_all(), [_make_info(1)])
add_info(2)
self.a... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/tensorboard",
"path": "/tensorboard/manager_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Should be a no-op, except to create the info directory if
# necessary. In particular, should not raise any exception.
manager.remove_info_file()
def test_get_all(self):
def add_info(i):
with mock.patch("os.getpid", lambda: 76540 + i):
mana... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/tensorboard",
"path": "/tensorboard/manager_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>om .mr_tree_view import MrTreeView
from .mr_double_tree_handler import MrDoubleTreeHandler<|fim_prefix|># repo: mjredmond/FEMApp path: /fem/utilities/tree_widget/__init__.py
from __future__ import print_function, absol<|fim_middle|>ute_import
__author__ = 'Michael Redmond'
fr | code_fim | easy | {
"lang": "python",
"repo": "mjredmond/FEMApp",
"path": "/fem/utilities/tree_widget/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mjredmond/FEMApp path: /fem/utilities/tree_widget/__init__.py
from __future__ import print_function, absol<|fim_suffix|>om .mr_tree_view import MrTreeView
from .mr_double_tree_handler import MrDoubleTreeHandler<|fim_middle|>ute_import
__author__ = 'Michael Redmond'
fr | code_fim | easy | {
"lang": "python",
"repo": "mjredmond/FEMApp",
"path": "/fem/utilities/tree_widget/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChanJeunlam/geolearn path: /hydroDL/app/plot.py
from mpl_toolkits import basemap
import matplotlib.pyplot as plt
import numpy as np
def plotMap(ax, lat, lon, data, dataN, title=None, vRange=None):
if np.isnan(data).all():
print('all nan in data')
return
if vRange is None... | code_fim | hard | {
"lang": "python",
"repo": "ChanJeunlam/geolearn",
"path": "/hydroDL/app/plot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> s=80, marker='.', vmin=vmin, vmax=vmax)
cs = mm.scatter(lon[ind2], lat[ind2], c=data[ind2], cmap=plt.cm.jet,
s=30, marker='*', vmin=vmin, vmax=vmax)
mm.colorbar(cs, location='bottom', pad='5%')
ax.set_title(title)<|fim_prefix|># repo: ChanJeunlam/geolearn path: /... | code_fim | hard | {
"lang": "python",
"repo": "ChanJeunlam/geolearn",
"path": "/hydroDL/app/plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert 0 <= idx < self._capacity
return self._value[self._capacity + idx]
class SumSegmentTree(SegmentTree):
# stolen from https://github.com/Shmuma/ptan/blob/master/ptan/common/utils.py
def __init__(self, capacity):
super(SumSegmentTree, self).__init__(
capac... | code_fim | hard | {
"lang": "python",
"repo": "cpnota/autonomous-learning-library",
"path": "/all/memory/segment_tree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cpnota/autonomous-learning-library path: /all/memory/segment_tree.py
# This entire module was stolen from:
# https://github.com/Shmuma/ptan/blob/master/ptan/common/utils.py
import operator
class SegmentTree(object):
def __init__(self, capacity, operation, neutral_element):
"""Build ... | code_fim | hard | {
"lang": "python",
"repo": "cpnota/autonomous-learning-library",
"path": "/all/memory/segment_tree.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Parameters
----------
samples : ndarray (..., N)
N samples on a unit sphere for each point, stored along the last axis
of the array.
out : ndrray (..., N), optional
An array to store the normalized samples.
Returns
-------
out : ndarray, (..., N)
... | code_fim | hard | {
"lang": "python",
"repo": "jbrustle/dipy",
"path": "/dipy/reconst/odf.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jbrustle/dipy path: /dipy/reconst/odf.py
from __future__ import division, print_function, absolute_import
from .base import ReconstModel, ReconstFit
import numpy as np
# Classes OdfModel and OdfFit are using API ReconstModel and ReconstFit from
# .base
class OdfModel(ReconstModel):
<|fim_suffix... | code_fim | hard | {
"lang": "python",
"repo": "jbrustle/dipy",
"path": "/dipy/reconst/odf.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def register(app):
app.add_url_rule("/api/hello", view_func=Hello.as_view("hello"))<|fim_prefix|># repo: codeforpdx/recordexpungPDX path: /src/backend/expungeservice/endpoints/hello.py
"""Example endpoint."""
from flask.views import MethodView
class Hello(MethodView):
def get(self):
<|fim_mid... | code_fim | easy | {
"lang": "python",
"repo": "codeforpdx/recordexpungPDX",
"path": "/src/backend/expungeservice/endpoints/hello.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: codeforpdx/recordexpungPDX path: /src/backend/expungeservice/endpoints/hello.py
"""Example endpoint."""
from flask.views import MethodView
<|fim_suffix|> app.add_url_rule("/api/hello", view_func=Hello.as_view("hello"))<|fim_middle|>
class Hello(MethodView):
def get(self):
return ... | code_fim | medium | {
"lang": "python",
"repo": "codeforpdx/recordexpungPDX",
"path": "/src/backend/expungeservice/endpoints/hello.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luwoldy/creative-morning-board-generator path: /app/routes.py
from app import app
from flask import render_template
import pandas as pd
work_df = pd.read_csv('app/data/looking_for_work.csv')
talent_df = pd.read_csv('app/data/looking_for_talent.csv')
collab_df = pd.read_csv('app/data/looking_t... | code_fim | hard | {
"lang": "python",
"repo": "luwoldy/creative-morning-board-generator",
"path": "/app/routes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/collab')
def collab():
posts = []
for i,j in zip(collab_df['description'],collab_df['contact']):
posts.append({'description': i, 'contact': j})
return render_template('board.html', title = 'Looking to Collaborate',posts=posts, month=month)
@app.route('/talent')
def talent... | code_fim | hard | {
"lang": "python",
"repo": "luwoldy/creative-morning-board-generator",
"path": "/app/routes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@cli.command()
def version() -> None:
"""Display the version."""
click.echo(f"Blowhole v{__version__}")
cli.add_command(env)<|fim_prefix|># repo: tacheo/blowhole path: /blowhole/cli/cli.py
"""Main CLI interface for Blowhole."""
import click
from blowhole import __version__
from blowhole.cli.e... | code_fim | hard | {
"lang": "python",
"repo": "tacheo/blowhole",
"path": "/blowhole/cli/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Display the version."""
click.echo(f"Blowhole v{__version__}")
cli.add_command(env)<|fim_prefix|># repo: tacheo/blowhole path: /blowhole/cli/cli.py
"""Main CLI interface for Blowhole."""
import click
from blowhole import __version__
from blowhole.cli.env import env
@click.group('bh', inv... | code_fim | hard | {
"lang": "python",
"repo": "tacheo/blowhole",
"path": "/blowhole/cli/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tacheo/blowhole path: /blowhole/cli/cli.py
"""Main CLI interface for Blowhole."""
import click
from blowhole import __version__
from blowhole.cli.env import env
@click.group('bh', invoke_without_command=True)
@click.pass_context
def cli(ctx: click.Context) -> None:
<|fim_suffix|> """Displa... | code_fim | hard | {
"lang": "python",
"repo": "tacheo/blowhole",
"path": "/blowhole/cli/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>timeout = httpx.Timeout(5.0, connect_timeout=5.0)
client = httpx.AsyncClient(timeout=timeout)
stop_time = time.time() + 5
TEST_MESSAGE = "http test running..."
async def main():
sys.stdout.write(TEST_MESSAGE)
sys.stdout.flush()
count = 0
while time.time() < stop_time:
res = awa... | code_fim | medium | {
"lang": "python",
"repo": "ijl/orjson",
"path": "/integration/client",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ijl/orjson path: /integration/client
#!/usr/bin/env python3
import asyncio
import sys
import time
import httpx
port = sys.argv[1]
url = f"http://127.0.0.1:{port}"
timeout = httpx.Timeout(5.0, connect_timeout=5.0)
client = httpx.AsyncClient(timeout=timeout)
stop_time = time.time() + 5
TEST_M... | code_fim | hard | {
"lang": "python",
"repo": "ijl/orjson",
"path": "/integration/client",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>port = sys.argv[1]
url = f"http://127.0.0.1:{port}"
timeout = httpx.Timeout(5.0, connect_timeout=5.0)
client = httpx.AsyncClient(timeout=timeout)
stop_time = time.time() + 5
TEST_MESSAGE = "http test running..."
async def main():
sys.stdout.write(TEST_MESSAGE)
sys.stdout.flush()
count = 0... | code_fim | medium | {
"lang": "python",
"repo": "ijl/orjson",
"path": "/integration/client",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.header:
scale_column = [self.header[i] for i in self.scale_column_idx]
else:
scale_column = ["_".join(["col", str(i)]) for i in self.scale_column_idx]
if not self.data_shape:
self.data_shape = -1
meta_proto_obj = ScaleMeta(metho... | code_fim | hard | {
"lang": "python",
"repo": "FederatedAI/FATE",
"path": "/python/federatedml/feature/feature_scale/min_max_scale.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> f = functools.partial(MinMaxScale.__scale, max_value_list=self.column_max_value,
min_value_list=self.column_min_value, scale_value_list=self.column_range,
process_cols_list=self.scale_column_idx)
transform_data = data.mapValues(f... | code_fim | hard | {
"lang": "python",
"repo": "FederatedAI/FATE",
"path": "/python/federatedml/feature/feature_scale/min_max_scale.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FederatedAI/FATE path: /python/federatedml/feature/feature_scale/min_max_scale.py
#
# Copyright 2019 The FATE Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a... | code_fim | hard | {
"lang": "python",
"repo": "FederatedAI/FATE",
"path": "/python/federatedml/feature/feature_scale/min_max_scale.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StephenSorriaux/ansible-kafka-admin path: /molecule/default/tests/test_quotas_default.py
"""
Main tests for library
"""
import os
import time
import testinfra.utils.ansible_runner
from tests.ansible_utils import (
quotas_default_configuration,
sasl_default_configuration,
ensure_kafk... | code_fim | hard | {
"lang": "python",
"repo": "StephenSorriaux/ansible-kafka-admin",
"path": "/molecule/default/tests/test_quotas_default.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_quotas_create(host):
"""
Check if can create quotas
"""
# Given
test_quotas_configuration = quotas_default_configuration.copy()
test_quotas_configuration.update({
'entries': [{
'entity': {
'client': get_entity_name(),
'us... | code_fim | hard | {
"lang": "python",
"repo": "StephenSorriaux/ansible-kafka-admin",
"path": "/molecule/default/tests/test_quotas_default.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def configure_dbsession(config):
from snovault import DBSESSION
settings = config.registry.settings
DBSession = settings.pop(DBSESSION, None)
if DBSession is None:
engine = configure_engine(settings)
if asbool(settings.get('create_tables', False)):
from snovaul... | code_fim | hard | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if 'elasticsearch.server' in config.registry.settings:
config.include('snovault.elasticsearch')
config.include('.vis_indexer')
config.include('.cart_view')
config.include('encoded.search_views')
if 'snp_search.server' in config.registry.settings:
addresses ... | code_fim | hard | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ENCODE-DCC/encoded path: /src/encoded/__init__.py
from future.standard_library import install_aliases
install_aliases() # NOQA
import encoded.schema_formats # needed to import before snovault to add FormatCheckers
import base64
import codecs
import copy
import json
import os
from pathlib import ... | code_fim | hard | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: h3llrais3r/tvdb_api path: /tvdb_api/api/__init__.py
from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from tvdb_api.api.authentication_<|fim_suffix|>.series_api import SeriesApi
from tvdb_api.api.updates_api import UpdatesApi
from tvdb_api.api.users_api import... | code_fim | hard | {
"lang": "python",
"repo": "h3llrais3r/tvdb_api",
"path": "/tvdb_api/api/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>.series_api import SeriesApi
from tvdb_api.api.updates_api import UpdatesApi
from tvdb_api.api.users_api import UsersApi<|fim_prefix|># repo: h3llrais3r/tvdb_api path: /tvdb_api/api/__init__.py
from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from tvdb_api.api.authen... | code_fim | medium | {
"lang": "python",
"repo": "h3llrais3r/tvdb_api",
"path": "/tvdb_api/api/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>nguagesApi
from tvdb_api.api.movies_api import MoviesApi
from tvdb_api.api.search_api import SearchApi
from tvdb_api.api.series_api import SeriesApi
from tvdb_api.api.updates_api import UpdatesApi
from tvdb_api.api.users_api import UsersApi<|fim_prefix|># repo: h3llrais3r/tvdb_api path: /tvdb_api/api/__i... | code_fim | medium | {
"lang": "python",
"repo": "h3llrais3r/tvdb_api",
"path": "/tvdb_api/api/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yux1991/PyRHEED path: /src/process.py
= offset
self.substrate_CIF_path = substrate_CIF_path
self.epilayer_CIF_path = epilayer_CIF_path
self.sub_orientation = sub_orientation
self.epi_orientation = epi_orientation
self.distribution = distribution
se... | code_fim | hard | {
"lang": "python",
"repo": "yux1991/PyRHEED",
"path": "/src/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yux1991/PyRHEED path: /src/process.py
max_gridx = device.get_attribute(drv.device_attribute.MAX_GRID_DIM_X)
max_gridy = device.get_attribute(drv.device_attribute.MAX_GRID_DIM_Y)
max_gridz = device.get_attribute(drv.device_attribute.MAX_GRID_DIM_Z)
self.UP... | code_fim | hard | {
"lang": "python",
"repo": "yux1991/PyRHEED",
"path": "/src/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def left_or_right(self,p1,p2,p3):
return (p1[0]-p3[0])*(p2[1]-p3[1]) - (p2[0]-p3[0])*(p1[1]-p3[1])
def within_vertex(self,v,p,r):
return (v[0]-p[0])**2+(v[1]-p[1])**2 < (r/2)**2
def get_boundaryless_domain(self, a, b, angle, rectangle, unit_cell_sites_epi):
epilayer_d... | code_fim | hard | {
"lang": "python",
"repo": "yux1991/PyRHEED",
"path": "/src/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print = log_message
def latest_logs(infr, colored=False):
index = infr.log_index
infr.log_index = len(infr.logs)
if colored:
return [infr.logs[x] for x in range(index, len(infr.logs))]
else:
return [infr.logs[x][0] for x in range(index, len(... | code_fim | hard | {
"lang": "python",
"repo": "WildMeOrg/wildbook-ia",
"path": "/wbia/algo/graph/core.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class MiscHelpers(object):
def _rectify_nids(infr, aids, nids):
if nids is None:
if infr.ibs is None:
nids = [-aid for aid in aids]
else:
nids = infr.ibs.get_annot_nids(aids)
elif ut.isscalar(nids):
nids = [nids] * le... | code_fim | hard | {
"lang": "python",
"repo": "WildMeOrg/wildbook-ia",
"path": "/wbia/algo/graph/core.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WildMeOrg/wildbook-ia path: /wbia/algo/graph/core.py
infr.unreviewed_graph.number_of_edges(),
)
return msg
# return 'nAids={}, nEdges={}, nCCs={}'.format(
# len(infr.aids),
# infr.graph.number_of_edges(),
# infr.p... | code_fim | hard | {
"lang": "python",
"repo": "WildMeOrg/wildbook-ia",
"path": "/wbia/algo/graph/core.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class TrigramSearchEngine(BaseSearchEngine):
pass<|fim_prefix|># repo: bnznamco/django-postgresql-trigram-search path: /postgre_trigram_search/__init__.py
from .searchengine import BaseSearchEngine
from django.conf import settings
<|fim_middle|>if 'django.contrib.postgres' not in settings.INSTALLED... | code_fim | medium | {
"lang": "python",
"repo": "bnznamco/django-postgresql-trigram-search",
"path": "/postgre_trigram_search/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bnznamco/django-postgresql-trigram-search path: /postgre_trigram_search/__init__.py
from .searchengine import BaseSearchEngine
from django.conf import settings
<|fim_suffix|>class TrigramSearchEngine(BaseSearchEngine):
pass<|fim_middle|>if 'django.contrib.postgres' not in settings.INSTALLED... | code_fim | medium | {
"lang": "python",
"repo": "bnznamco/django-postgresql-trigram-search",
"path": "/postgre_trigram_search/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>environments=True)
settings.configure(settings_module=__file__)
assert settings.is_overridden("FOO") is False<|fim_prefix|># repo: mjpieters/dynaconf path: /tests/test_django.py
import os
import sys
import dynaconf
def test_djdt_382(tmpdir):
sys.path.insert(0, str(tmpdir))
settings_f<|... | code_fim | hard | {
"lang": "python",
"repo": "mjpieters/dynaconf",
"path": "/tests/test_django.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rite("")
os.environ["DJANGO_SETTINGS_MODULE"] = str("settings")
settings = dynaconf.DjangoDynaconf(__name__, environments=True)
settings.configure(settings_module=__file__)
assert settings.is_overridden("FOO") is False<|fim_prefix|># repo: mjpieters/dynaconf path: /tests/test_django.py
im... | code_fim | medium | {
"lang": "python",
"repo": "mjpieters/dynaconf",
"path": "/tests/test_django.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mjpieters/dynaconf path: /tests/test_django.py
import os
import sys
import dynaconf
def test_djdt_382(tmpdir):
sys.path.insert(0, str(tmpdir))
settings_f<|fim_suffix|>environments=True)
settings.configure(settings_module=__file__)
assert settings.is_overridden("FOO") is False<|... | code_fim | hard | {
"lang": "python",
"repo": "mjpieters/dynaconf",
"path": "/tests/test_django.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chrisrsantiago/chiplibrary path: /chiplibrary/scripts/buildindex.py
# -*- coding: utf-8 -*-
import os
import sys
import logging
import transaction
from pyramid.paster import get_appsettings, setup_logging
from pyramid.scripts.common import parse_vars
from ..db import get_session
from ..db.chip ... | code_fim | medium | {
"lang": "python",
"repo": "chrisrsantiago/chiplibrary",
"path": "/chiplibrary/scripts/buildindex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(argv) < 2:
usage(argv)
config_uri = argv[1]
options = parse_vars(argv[2:])
setup_logging(config_uri)
log = logging.getLogger(__name__)
settings = get_appsettings(config_uri, options=options)
settings['config_path'] = os.path.dirname(config_uri)
settings['whoo... | code_fim | hard | {
"lang": "python",
"repo": "chrisrsantiago/chiplibrary",
"path": "/chiplibrary/scripts/buildindex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MTES-MCT/envergo path: /envergo/stats/models.py
from django.db import models
from django.utils.translation import gettext_lazy as _
class Stat(models.Model):
<|fim_suffix|> verbose_name = _("Stat")
verbose_name_plural = _("Stats")
ordering = ["order"]<|fim_middle|> tit... | code_fim | medium | {
"lang": "python",
"repo": "MTES-MCT/envergo",
"path": "/envergo/stats/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> verbose_name = _("Stat")
verbose_name_plural = _("Stats")
ordering = ["order"]<|fim_prefix|># repo: MTES-MCT/envergo path: /envergo/stats/models.py
from django.db import models
from django.utils.translation import gettext_lazy as _
<|fim_middle|>
class Stat(models.Model):
tit... | code_fim | hard | {
"lang": "python",
"repo": "MTES-MCT/envergo",
"path": "/envergo/stats/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gwu-libraries/sfm-twitter-harvester path: /twitter_rest_warc_iter.py
#!/usr/bin/env python3
from __future__ import absolute_import
import re
from sfmutils.warc_iter import BaseWarcIter
from dateutil.parser import parse as date_parse
import json
import sys
from twarc.expansions import ensure_fla... | code_fim | hard | {
"lang": "python",
"repo": "gwu-libraries/sfm-twitter-harvester",
"path": "/twitter_rest_warc_iter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _item_iter(self, url, json_obj):
return TwitterRestWarcIter._get_iter(url, json_obj)
@staticmethod
def _get_iter(url, json_obj):
# Ignore error messages
if isinstance(json_obj, dict) and ('error' in json_obj or 'errors' in json_obj):
return
# Se... | code_fim | hard | {
"lang": "python",
"repo": "gwu-libraries/sfm-twitter-harvester",
"path": "/twitter_rest_warc_iter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cdata = json.loads(
CliRunner()
.invoke(
area, ["-x", "date", "-y", "price", "--colorvar", "company", *STOCK_ARGS]
)
.output
)
e = cdata["encoding"]["fill"]
assert e["field"] == "company"
assert e["type"] == "nominal"
assert "title" not i... | code_fim | hard | {
"lang": "python",
"repo": "dannguyen/csvviz",
"path": "/tests/vizzes/test_area.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dannguyen/csvviz path: /tests/vizzes/test_area.py
#!/usr/bin/env python
import pytest
from click.testing import CliRunner
import json
from pathlib import Path
from csvviz.exceptions import *
from csvviz.settings import *
from csvviz.vizzes.area import Areakit
area = Areakit.register_command(... | code_fim | hard | {
"lang": "python",
"repo": "dannguyen/csvviz",
"path": "/tests/vizzes/test_area.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_area_error_when_normalize_but_no_fill_color_stack():
"""
User shouldn't be allowed to create normalized bars of 1 segment, even though it's technically valid
"""
result = CliRunner().invoke(area, ["-N", *NORMAL_ARGS])
assert result.exit_code == 1
assert (
"Conflic... | code_fim | hard | {
"lang": "python",
"repo": "dannguyen/csvviz",
"path": "/tests/vizzes/test_area.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
debug(True)
run(host="localhost", port = 8080, reloader = True)<|fim_prefix|># repo: huijuannan/OMOOC2py path: /_src/om2py4w/4wex0/diary.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
'''
Usage:
'''
from bottle import run, route, debug, template, request
@route('/diary')... | code_fim | medium | {
"lang": "python",
"repo": "huijuannan/OMOOC2py",
"path": "/_src/om2py4w/4wex0/diary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huijuannan/OMOOC2py path: /_src/om2py4w/4wex0/diary.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
'''
Usage:
'''
from bottle import run, route, debug, template, request
@route('/diary')
def submit_diary():
<|fim_suffix|>
if __name__ == "__main__":
debug(True)
run(host="localhost", port = ... | code_fim | hard | {
"lang": "python",
"repo": "huijuannan/OMOOC2py",
"path": "/_src/om2py4w/4wex0/diary.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
debug(True)
run(host="localhost", port = 8080, reloader = True)<|fim_prefix|># repo: huijuannan/OMOOC2py path: /_src/om2py4w/4wex0/diary.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
'''
Usage:
'''
from bottle import run, route, debug, template, request
@route('/diary')
de... | code_fim | medium | {
"lang": "python",
"repo": "huijuannan/OMOOC2py",
"path": "/_src/om2py4w/4wex0/diary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def to_wiggle_pairs(filein, fileout, region_string, endcrop=False):
""" Constructs fragment pile-ups in wiggle format using paired-end information
:param filein: BAM file that contains paired-end reads
:param fileout: base output file name with extension (.wig) omitted
:param region_strin... | code_fim | hard | {
"lang": "python",
"repo": "rogerzou/chipseq_cgRNA",
"path": "/src/chipseq.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def to_bins(filein, fileout, window, numbins, chr=None, generator=None):
""" Outputs CSV file that counts number of reads in each bin (column) for each window (row)
:param filein: BAM file that contains paired-end reads
:param fileout: base output file name with extension (.csv) omitted; each... | code_fim | hard | {
"lang": "python",
"repo": "rogerzou/chipseq_cgRNA",
"path": "/src/chipseq.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rogerzou/chipseq_cgRNA path: /src/chipseq.py
# -*- coding: utf-8 -*-
""" Useful functions for ChIP-seq analysis after Cas9 cleavage
"""
__author__ = "Roger Zou"
__license__ = "MIT"
__version__ = "0.9"
__maintainer__ = "Roger Zou"
from collections import defaultdict
import pysam
import os
import ... | code_fim | hard | {
"lang": "python",
"repo": "rogerzou/chipseq_cgRNA",
"path": "/src/chipseq.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fpierfed/owl_web path: /monitor/tests.py
# Copyright (C) 2010 Association of Universities for Research in Astronomy(AURA)
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributio... | code_fim | medium | {
"lang": "python",
"repo": "fpierfed/owl_web",
"path": "/monitor/tests.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Tests that 1 + 1 always equals 2.
"""
self.failUnlessEqual(1 + 1, 2)
__test__ = {"doctest": """
Another way to test that 1 + 1 is equal to 2.
>>> 1 + 1 == 2
True
"""}<|fim_prefix|># repo: fpierfed/owl_web path: /monitor/tests.py
# Copyright (C) 2010 Association of Un... | code_fim | medium | {
"lang": "python",
"repo": "fpierfed/owl_web",
"path": "/monitor/tests.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> max_len=64, max_vocab_size=20000, ctx=mx.cpu()):
train_arr = []
tokenizer = BasicTokenizer(do_lower_case=True)
labels = []
indices = []
values = []
indptrs = [0]
cumulative = 0
total_num_words = 0
ndocs = 0
if not vocab:
... | code_fim | hard | {
"lang": "python",
"repo": "BwRy/tmnt",
"path": "/tmnt/seq_bow_ved/sb_data_loader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BwRy/tmnt path: /tmnt/seq_bow_ved/sb_data_loader.py
# coding: utf-8
"""
Copyright (c) 2019 The MITRE Corporation.
"""
import io
import itertools
import os
import logging
import json
import numpy as np
import re
import string
import gluonnlp as nlp
import mxnet as mx
from mxnet import gluon
from... | code_fim | hard | {
"lang": "python",
"repo": "BwRy/tmnt",
"path": "/tmnt/seq_bow_ved/sb_data_loader.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pedroramaciotti/meltylog-analysis path: /cluster-melty.py
import time as timelib
import pandas as pd
pd.options.mode.chained_assignment = None # default='warn'
import numpy as News_proportion
from sklearn.cluster import KMeans
from log2traces import *
from markov import *
from information_theor... | code_fim | hard | {
"lang": "python",
"repo": "pedroramaciotti/meltylog-analysis",
"path": "/cluster-melty.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # recap center
latex_output.write(" \\begin{tabular}{|c|c|")
for dim in dimensions:
latex_output.write("c|")
latex_output.write("}\n \\hline\n cluster & size")
for dim in dimensions:
latex_output.write(" &... | code_fim | hard | {
"lang": "python",
"repo": "pedroramaciotti/meltylog-analysis",
"path": "/cluster-melty.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def saveDslData(self, dslDataset, filename=""):
self.setup()
filename = filename or "dsl-data-" + self.timestamp + ".json"
fullpath = os.path.join(self.output_path_cached_data, filename)
dslDataset.save_json(filename=fullpath)
url = "file://" + fullpath
... | code_fim | hard | {
"lang": "python",
"repo": "lambdamusic/dice",
"path": "/dice/app/fmanager.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lambdamusic/dice path: /dice/app/fmanager.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import time
import shutil
from .settings import *
class FileManager(object):
"""Handle file-related operations and provide state for them.
"""
<|fim_suffix|> def saveDslData(self, ds... | code_fim | hard | {
"lang": "python",
"repo": "lambdamusic/dice",
"path": "/dice/app/fmanager.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dvlab-research/DeepVision3D path: /OpenPCDet/pcdet/models/backbones_3d/pointnet2_backbone.py
import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_batch import pointnet2_modules
class PointNet2MSG(nn.Module):
def __init__(self, model_cfg, input_channels, **kwargs):
supe... | code_fim | hard | {
"lang": "python",
"repo": "dvlab-research/DeepVision3D",
"path": "/OpenPCDet/pcdet/models/backbones_3d/pointnet2_backbone.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> xyz_batch_cnt = xyz.new_zeros(batch_size).int()
for bs_idx in range(batch_size):
xyz_batch_cnt[bs_idx] = (batch_idx == bs_idx).sum()
assert xyz_batch_cnt.min() == xyz_batch_cnt.max()
xyz = xyz.view(batch_size, -1, 3)
features = features.view(batch_size,... | code_fim | hard | {
"lang": "python",
"repo": "dvlab-research/DeepVision3D",
"path": "/OpenPCDet/pcdet/models/backbones_3d/pointnet2_backbone.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def run(self):
subprocess.run(
args=['npm', 'run', 'build'],
cwd=os.path.join('.', 'extension'),
stdout=sys.stdout,
stderr=sys.stderr,
)
with open(os.path.join('.', 'extension', 'local', 'credentials.json')) as f:
... | code_fim | hard | {
"lang": "python",
"repo": "dair-targ/Korred",
"path": "/setup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dair-targ/Korred path: /setup.py
import json
import os
from setuptools import setup, Command
import subprocess
import sys
import glob
import shutil
class BuildWebExtensionCommand(Command):
user_options = []
def initialize_options(self):
pass
def finalize_options(self):
<|... | code_fim | hard | {
"lang": "python",
"repo": "dair-targ/Korred",
"path": "/setup.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # row_count = sum(1 for row in csv_reader)
# message = 'Number of rows: {}\t'.format(row_count)
# print(message)
counter = 0
failed_rows = 0
# TODO: make this less hacky/kludgy and improve error handling + reporting
if 'latest_export.csv' in csv_file:
with open(csv_fil... | code_fim | hard | {
"lang": "python",
"repo": "industrydive/sourcedive",
"path": "/sources/management/commands/import_csv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: industrydive/sourcedive path: /sources/management/commands/import_csv.py
import csv
from datetime import datetime
import sys
from django.core.management.base import BaseCommand, CommandError
from django.core.management import call_command
from django.contrib.auth.models import User, Group
from d... | code_fim | hard | {
"lang": "python",
"repo": "industrydive/sourcedive",
"path": "/sources/management/commands/import_csv.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: svilen-ivanov/sgp path: /ep2/en/scenes/dynamic_programming.py
from manim import *
from numpy.random._generator import default_rng
from ep2.scenes.description import Coin
from ep2.scenes.utils import CyrTex
import numpy as np
random_points = [
[0.6942365002997297, 1.7215149309793558],
[1... | code_fim | hard | {
"lang": "python",
"repo": "svilen-ivanov/sgp",
"path": "/ep2/en/scenes/dynamic_programming.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def construct(self):
term_en = CyrTex(r"Dynamic Programming").scale(2)
#term_bg = CyrTex(r"\foreignlanguage{bulgarian}{\textit{Динамично програмиране}}").scale(1.5)
group = VGroup(term_en)
self.play(FadeIn(term_en))
#term_bg.next_to(term_en, direction=DOWN)
... | code_fim | medium | {
"lang": "python",
"repo": "svilen-ivanov/sgp",
"path": "/ep2/en/scenes/dynamic_programming.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> photo = ImageMobject("Richard_Ernest_Bellman.jpg").set_height(6)
title_below = CyrTex(r"\foreignlanguage{english}{Richard Ernest Bellman}")
group2 = Group(photo, title_below)
self.play(FadeIn(photo), photo.to_edge, UP)
title_below.next_to(photo, direction=DOWN)
... | code_fim | hard | {
"lang": "python",
"repo": "svilen-ivanov/sgp",
"path": "/ep2/en/scenes/dynamic_programming.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Returns `fips` code of `cname`."""
return self.__call__(cname)
def iso(self, cname: str)->str:
"""Returns `iso` code of `cname`."""
return self.like(cname, mx=1)[0]['ISO']
def name(self, cname: str)->str:
"""Returns a `str` of the first of country name ... | code_fim | hard | {
"lang": "python",
"repo": "kdorichev/joshuaproject",
"path": "/joshuaproject/countrycodes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kdorichev/joshuaproject path: /joshuaproject/countrycodes.py
# AUTOGENERATED! DO NOT EDIT! File to edit: 01_countrycodes.ipynb (unless otherwise specified).
__all__ = ['__doc__', 'CountryCodes']
# Cell
__doc__ = """Country codes module"""
import pandas as pd
# Cell
class CountryCodes():
""... | code_fim | hard | {
"lang": "python",
"repo": "kdorichev/joshuaproject",
"path": "/joshuaproject/countrycodes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darkLord19/GraphColoringPy path: /greedy_coloring.py
from graph import Graph
def get_chromatic_number(g):
chromatic_number = 0
li = sorted(g.vertices, key=len, reverse=True)
vertex_color_idx = {0:1}
available = [True for i in range(0, g.V)]
for i in range(1, g.V):
... | code_fim | medium | {
"lang": "python",
"repo": "darkLord19/GraphColoringPy",
"path": "/greedy_coloring.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in colored:
if i==1:
chromatic_number += 1
print(chromatic_number)
return chromatic_number, vertex_color_idx<|fim_prefix|># repo: darkLord19/GraphColoringPy path: /greedy_coloring.py
from graph import Graph
def get_chromatic_number(g):
chromatic_number = 0
... | code_fim | medium | {
"lang": "python",
"repo": "darkLord19/GraphColoringPy",
"path": "/greedy_coloring.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oaao/smsos path: /smsos/classifiers/classifiers.py
# classifiers
from sklearn.calibration import CalibratedClassifierCV
from sklearn.dummy import DummyClassifier
from sklearn.ensemble import (
AdaBoostClassifier,
BaggingClassifier,
ExtraTreesClassifier,
GradientBoostingClassifier,... | code_fim | medium | {
"lang": "python",
"repo": "oaao/smsos",
"path": "/smsos/classifiers/classifiers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>CLASSIFIERS = [
AdaBoostClassifier(),
BaggingClassifier(),
BernoulliNB(),
CalibratedClassifierCV(),
DecisionTreeClassifier(),
DummyClassifier(),
ExtraTreesClassifier(),
GradientBoostingClassifier(),
KNeighborsClassifier(),
OneVsRestClassifier(LogisticRegression()),
... | code_fim | medium | {
"lang": "python",
"repo": "oaao/smsos",
"path": "/smsos/classifiers/classifiers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # embedded = [batch size, sent len, emb dim]
# In PyTorch, RNNs want the input with the batch dimension second, whereas CNNs want the batch dimension first
# - we do not have to permute the data here as we have already set batch_first = True in our TEXT field.
# We then pa... | code_fim | hard | {
"lang": "python",
"repo": "macabdul9/BloomNet",
"path": "/models/baselines/CNN.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: macabdul9/BloomNet path: /models/baselines/CNN.py
import torch
import torch.nn as nn
import torch.nn.functional as F
#Source: https://github.com/RaffaeleGalliera/pytorch-cnn-text-classification/edit/master/model.py
class CNNClassifier(nn.Module):
def __init__(self, vocab_size, hidden_size=7... | code_fim | hard | {
"lang": "python",
"repo": "macabdul9/BloomNet",
"path": "/models/baselines/CNN.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> embedded = embedded.unsqueeze(1)
# embedded = [batch size, 1, sent len, emb dim]
conved = [F.relu(conv(embedded)).squeeze(3) for conv in self.convs]
# conved_n = [batch size, n_filters, sent len - filter_sizes[n] + 1]
pooled = [F.max_pool1d(conv, conv.shape[2]).... | code_fim | hard | {
"lang": "python",
"repo": "macabdul9/BloomNet",
"path": "/models/baselines/CNN.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _prepare_insert_statement(self, columns: List[str]) -> str:
query = (
self.db.query_class.into(self.model._meta.table())
.columns(*columns)
.insert(*[self.parameter(i) for i in range(len(columns))])
)
query = query.returning(*self.model.... | code_fim | medium | {
"lang": "python",
"repo": "nextfit/tortoise-orm",
"path": "/tortoise/backends/asyncpg/executor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nextfit/tortoise-orm path: /tortoise/backends/asyncpg/executor.py
from typing import List, Optional
import asyncpg
from pypika import Parameter
from tortoise.backends.base.executor import BaseExecutor
from tortoise.models import Model
<|fim_suffix|> query = query.returning(*self.model... | code_fim | hard | {
"lang": "python",
"repo": "nextfit/tortoise-orm",
"path": "/tortoise/backends/asyncpg/executor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def _process_insert_result(self, instance: Model, results: Optional[asyncpg.Record]):
if results:
col_to_field_name = instance._meta.db_column_to_field_name_map
for column_name, val in zip(self.model._meta.generated_column_names, results):
setattr(... | code_fim | hard | {
"lang": "python",
"repo": "nextfit/tortoise-orm",
"path": "/tortoise/backends/asyncpg/executor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: strayfluxinteractive/castrumserver path: /gameapi/serializers.py
from django.forms import widgets
from rest_framework import serializers
from gameapi.models import World
<|fim_suffix|> class Meta:
model = World
fields = ('id', 'created', 'title')<|fim_middle|>class WorldSerializer(seria... | code_fim | easy | {
"lang": "python",
"repo": "strayfluxinteractive/castrumserver",
"path": "/gameapi/serializers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = World
fields = ('id', 'created', 'title')<|fim_prefix|># repo: strayfluxinteractive/castrumserver path: /gameapi/serializers.py
from django.forms import widgets
from rest_framework import serializers
from gameapi.models import World
<|fim_middle|>class WorldSerializer(seria... | code_fim | easy | {
"lang": "python",
"repo": "strayfluxinteractive/castrumserver",
"path": "/gameapi/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class QueryQPaieLight(object):
def __init__(self, chem_base):
constr = 'Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=' + chem_base
# Requ?te sur la db ListeEmployes
sSQL_Emp = ("SELECT "
"EM.Numero, "
"CL.... | code_fim | hard | {
"lang": "python",
"repo": "nrollet/quadratools",
"path": "/src/quadratools/quadrapaie.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__ (self, chem_base, periode) :
constr = 'Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=' + chem_base
#per_access = periode.strftime('#%m/%d/%y#')
# Requête sur la table DSN_EVT_ArretReprise
sSQL = ("SELECT "
"NumeroEmpl... | code_fim | hard | {
"lang": "python",
"repo": "nrollet/quadratools",
"path": "/src/quadratools/quadrapaie.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nrollet/quadratools path: /src/quadratools/quadrapaie.py
#!/usr/bin/env python3
# -*-coding:Utf-8 -*
import pyodbc
import logging
import sys
import os
import pprint
from collections import namedtuple
from datetime import datetime, timedelta
def add_one_month(dt0):
dt1 = dt0.replace(day=1)
... | code_fim | hard | {
"lang": "python",
"repo": "nrollet/quadratools",
"path": "/src/quadratools/quadrapaie.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheCoder777/Report-Booklet-Writer path: /models/message.py
class MSG:
"""
Simple msg object that a<|fim_suffix|> def __init__(self, content, color):
self.content = content
self.color = color<|fim_middle|>cts as a message for the messagequeue.
"""
| code_fim | easy | {
"lang": "python",
"repo": "TheCoder777/Report-Booklet-Writer",
"path": "/models/message.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>elf.content = content
self.color = color<|fim_prefix|># repo: TheCoder777/Report-Booklet-Writer path: /models/message.py
class MSG:
"""
Simple msg object that acts as a message for the messagequeue.
"""
<|fim_middle|> def __init__(self, content, color):
s | code_fim | easy | {
"lang": "python",
"repo": "TheCoder777/Report-Booklet-Writer",
"path": "/models/message.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # parse date
parser = reqparse.RequestParser()
parser.add_argument('date_start',
default=datetime.now().replace(hour=0,
second=0,
minute... | code_fim | hard | {
"lang": "python",
"repo": "Starfight/web-jrnl",
"path": "/webjrnl/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Starfight/web-jrnl path: /webjrnl/api.py
# -*- coding: utf-8 -*-
import os
from datetime import datetime
from flask import Blueprint, jsonify
from flask_restful import Api, Resource, abort, reqparse
from webjrnl.utils import convert_to_datetime, get_journal
BP = Blueprint('api', __name__, url_pr... | code_fim | hard | {
"lang": "python",
"repo": "Starfight/web-jrnl",
"path": "/webjrnl/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model.eval()
val_logits = model(img, tab)
oof.append(val_logits.data.cpu().numpy())
oof_targets.append(label.data.cpu().numpy())
# prepare mean over components
oof = np.concatenate(oof, axis=0... | code_fim | hard | {
"lang": "python",
"repo": "nicohrubec/trends_3d_resnet",
"path": "/src/eval.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicohrubec/trends_3d_resnet path: /src/eval.py
import os
import torch
import numpy as np
from src import configs
from src.model import BaselineResnet
from src.utils import weighted_nae_npy
def eval_fold(val_loader, fold_index):
device = torch.device("cuda:0" if torch.cuda.is_available() el... | code_fim | hard | {
"lang": "python",
"repo": "nicohrubec/trends_3d_resnet",
"path": "/src/eval.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryangillard/misc path: /leetcode/283_move_zeroes/283_move_zeroes.py
class Solution(object):
def moveZeroes(self, nums):
"""
:type nums: List[int]
:rtype: None Do not return anything, modify nums in-place instead.
"""
self.slow_fast(nums)
<|fim_suffix|>... | code_fim | hard | {
"lang": "python",
"repo": "ryangillard/misc",
"path": "/leetcode/283_move_zeroes/283_move_zeroes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def slow_fast(self, nums):
slow, fast = 0, 0
while slow <= fast and fast < len(nums):
if nums[fast] != 0:
nums[slow] = nums[fast]
slow += 1
fast += 1
while slow < len(nums):
nums[slow] = 0
slow +=... | code_fim | hard | {
"lang": "python",
"repo": "ryangillard/misc",
"path": "/leetcode/283_move_zeroes/283_move_zeroes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> slow, fast = 0, 0
while slow <= fast and fast < len(nums):
if nums[fast] != 0:
nums[slow] = nums[fast]
slow += 1
fast += 1
while slow < len(nums):
nums[slow] = 0
slow += 1<|fim_prefix|># repo: ryangil... | code_fim | hard | {
"lang": "python",
"repo": "ryangillard/misc",
"path": "/leetcode/283_move_zeroes/283_move_zeroes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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