text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>if __name__ == '__main__':
import runpy
import sys
sys.modules['test_pulse'] = sys.modules['__main__']
del sys.argv[0]
__file__ = sys.argv[0]
runpy.run_module(sys.argv[0], run_name='__main__', alter_sys=True)<|fim_prefix|># repo: jpaalasm/pyglet path: /experimental/pulse/test_pul... | code_fim | medium | {
"lang": "python",
"repo": "jpaalasm/pyglet",
"path": "/experimental/pulse/test_pulse.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='community',
name='num_timber_facilities',
field=models.IntegerField(null=True),
),
]<|fim_prefix|># repo: syin/CIT path: /web/pipeline/migrations/0031_community_num_timber_facilities.py
# Generated... | code_fim | medium | {
"lang": "python",
"repo": "syin/CIT",
"path": "/web/pipeline/migrations/0031_community_num_timber_facilities.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syin/CIT path: /web/pipeline/migrations/0031_community_num_timber_facilities.py
# Generated by Django 2.2.13 on 2020-07-15 21:42
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('pipeline', '0030_auto_20200714_2254'),
]
operations = [
migrat... | code_fim | easy | {
"lang": "python",
"repo": "syin/CIT",
"path": "/web/pipeline/migrations/0031_community_num_timber_facilities.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print 'Renaming columns'
df.columns = [COLUMN_RENAMES.get(c, c) for c in df.columns]
dummies = [c for c in df.columns if c.startswith('DUMMY')]
to_drop = list(set(COLUMNS_TO_DROP + dummies))
print 'Dropping %d columns:\n%s' % (len(to_drop), to_drop)
df.drop(to_drop, axis=1, inplace... | code_fim | hard | {
"lang": "python",
"repo": "deepesch/bayeshack-transportation-railroad",
"path": "/cleaning/scripts/fix_railroad.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepesch/bayeshack-transportation-railroad path: /cleaning/scripts/fix_railroad.py
"""Script to fix the transportation datafile."""
import datetime
import os
import sys
import string
import tempfile
import pandas as pd
VALID_CHARS = set(string.punctuation + string.ascii_letters +
... | code_fim | hard | {
"lang": "python",
"repo": "deepesch/bayeshack-transportation-railroad",
"path": "/cleaning/scripts/fix_railroad.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> df['SUICIDE_ATTEMPTED'] = df['COVERDATA'] == 'X'
df.ix[df['YEAR'] < 2011, 'SUICIDE_ATTEMPTED'] = None
# Combine narrative columns into one
narratives = []
for n1, n2 in zip(df['NARR1'], df['NARR2']):
narratives.append(str(n1 if pd.notnull(n1) else '') +
... | code_fim | hard | {
"lang": "python",
"repo": "deepesch/bayeshack-transportation-railroad",
"path": "/cleaning/scripts/fix_railroad.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> excl_paths = excluded_paths.split(',') + default_excluded_paths
return (
path and
any([p for p in excl_paths if path.startswith(p)]))<|fim_prefix|># repo: universalcore/unicore-cms path: /cms/utils.py
default_excluded_paths = ['/health/', '/api/notify/']
<|fim_middle|>def exclud... | code_fim | easy | {
"lang": "python",
"repo": "universalcore/unicore-cms",
"path": "/cms/utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: universalcore/unicore-cms path: /cms/utils.py
default_excluded_paths = ['/health/', '/api/notify/']
<|fim_suffix|> excl_paths = excluded_paths.split(',') + default_excluded_paths
return (
path and
any([p for p in excl_paths if path.startswith(p)]))<|fim_middle|>def exclud... | code_fim | easy | {
"lang": "python",
"repo": "universalcore/unicore-cms",
"path": "/cms/utils.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check nnn distances
assert len(data["nnn_distances"][0][0]["corner"]) == 8
assert len(data["nnn_distances"][0][0]["edge"]) == 2
assert data["nnn_distances"][0][0]["edge"][0] == approx(3.24322132)
# check components
assert data["components"][0]["dimensiona... | code_fim | hard | {
"lang": "python",
"repo": "hackingmaterials/robocrystallographer",
"path": "/robocrys/condense/tests/test_structure.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check angles
assert len(data["angles"][0][0]["corner"]) == 8
assert len(data["angles"][0][0]["edge"]) == 4
assert data["angles"][0][0]["edge"][0] == approx(101.62284671698572)
# check nnn distances
assert len(data["nnn_distances"][0][0]["corner"]) == 8
... | code_fim | hard | {
"lang": "python",
"repo": "hackingmaterials/robocrystallographer",
"path": "/robocrys/condense/tests/test_structure.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hackingmaterials/robocrystallographer path: /robocrys/condense/tests/test_structure.py
from __future__ import annotations
from pytest import approx
from robocrys.condense.condenser import StructureCondenser
from robocrys.tests import RobocrysTest
class TestStructureCondenser(RobocrysTest):
... | code_fim | hard | {
"lang": "python",
"repo": "hackingmaterials/robocrystallographer",
"path": "/robocrys/condense/tests/test_structure.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mateuspadua/design-patterns path: /behavioral/chain_of_responsability/udemy.py
"""
Avoids coupling the sender of a request to the
receiver by giving more than one object a chance
to handle the request.
"""
class Car:
def __init__(self, name: str, water: int, fuel: int, oil: int) -> None:
... | code_fim | hard | {
"lang": "python",
"repo": "mateuspadua/design-patterns",
"path": "/behavioral/chain_of_responsability/udemy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>car: Car = Car(name='my car', water=10, fuel=10, oil=10)
garage_handler.handle_request(car)
car: Car = Car(name='my car', water=20, fuel=20, oil=20)
garage_handler.handle_request(car)<|fim_prefix|># repo: mateuspadua/design-patterns path: /behavioral/chain_of_responsability/udemy.py
"""
Avoids coupling ... | code_fim | medium | {
"lang": "python",
"repo": "mateuspadua/design-patterns",
"path": "/behavioral/chain_of_responsability/udemy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("����һ��Dog��")
pass
'''
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'''<|fim_prefix|># repo: cjj1472111531/exception path: /01-module.py
# coding=gbk
# @file:01-module.py
# @data:2021/7/11 9:36
# Editor:clown
'''
python ����python�����б����Ѿ�д�õĴ����ļ����ļ���
�����Լ����������Ƕ�����ʹ��
ʹ��ģ... | code_fim | medium | {
"lang": "python",
"repo": "cjj1472111531/exception",
"path": "/01-module.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cjj1472111531/exception path: /01-module.py
# coding=gbk
# @file:01-module.py
# @data:2021/7/11 9:36
# Editor:clown
'''
python ����python�����б����Ѿ�д�õĴ����ļ����ļ���
�����Լ����������Ƕ�����ʹ��
ʹ��ģ��ĺô���ֱ��ʹ�ñ����Ѿ�ʵ�ֺõĹ���
ģ��==python�ļ�
����ģ����Ƕ���python�����ļ�
ע��� ģ�����Ͷ�Ӱ�... | code_fim | medium | {
"lang": "python",
"repo": "cjj1472111531/exception",
"path": "/01-module.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.title(title) #Axis Label Data
plt.xlabel("Time of Day (10m Intervals)")
plt.ylabel("Normalised Values [Anomaly Score] for " + row_index)
ax2 = plt.twinx()
ax2.set_ylabel(data_field + " values for " + row_index)
ax2.axhline(y=max(upper_bound.tolist()), color='red') #Intercepts
ax2.axhline(y=mi... | code_fim | hard | {
"lang": "python",
"repo": "tushariyer/anomalydetector",
"path": "/anomalydetector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tushariyer/anomalydetector path: /anomalydetector.py
# -*- coding: utf-8 -*-
"""
Tushar Iyer
"""
import pandas as pd
import math
import datetime
from matplotlib import pyplot as plt
import numpy as np
from itertools import compress, starmap
from operator import gt
from operator import lt
#--... | code_fim | hard | {
"lang": "python",
"repo": "tushariyer/anomalydetector",
"path": "/anomalydetector.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mlf_logger = MLFlowLogger(experiment_name=hparams.exp_name, tracking_uri="./mlruns", tags=args.tags)
exp = mlf_logger.experiment.get_experiment_by_name(hparams.exp_name)
artifacts_dir = os.path.join(exp.artifact_location, mlf_logger.run_id, "artifacts")
checkpoint_callback = ModelCheckpo... | code_fim | medium | {
"lang": "python",
"repo": "5n7/cifar10",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser(add_help=False)
parser.add_argument("--exp-name", default="Default")
parser.add_argument("--num-epochs", default=128, type=int)
parser.add_argument("--tags", action=utils.DictPairParser, metavar=utils.DictPairParser.METAVAR)
... | code_fim | hard | {
"lang": "python",
"repo": "5n7/cifar10",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 5n7/cifar10 path: /train.py
import argparse
import os
import warnings
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.loggers import MLFlowLogger
from cifar10 import Module, utils
<|fim_suffix|> exp = mlf_logger.experiment... | code_fim | hard | {
"lang": "python",
"repo": "5n7/cifar10",
"path": "/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def feature_traversal(feature):
yield feature
for sub_feature in feature.sub_features:
yield from feature_traversal(sub_feature)
if __name__ == '__main__':
args = parse_args()
noid_count = 1
tx_counts = Counter()
gene_counts = Counter()
records = list(GFF.parse(args.i... | code_fim | hard | {
"lang": "python",
"repo": "ComparativeGenomicsToolkit/Comparative-Annotation-Toolkit",
"path": "/programs/convert_ncbi_gff3",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_qualifiers = OrderedDict()
for key, val in feature.qualifiers.items():
# no upper case keys unless it is ID or Parent or Name
if key not in ['ID', 'Parent', 'Name']:
key = key.lower()
# collapse to a single item
# replace all semicolons
if le... | code_fim | hard | {
"lang": "python",
"repo": "ComparativeGenomicsToolkit/Comparative-Annotation-Toolkit",
"path": "/programs/convert_ncbi_gff3",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ComparativeGenomicsToolkit/Comparative-Annotation-Toolkit path: /programs/convert_ncbi_gff3
#!/usr/bin/env python
"""Developed against Rnor6 RefSeq"""
import argparse
from BCBio import GFF
from collections import Counter, OrderedDict
def parse_args():
parser = argparse.ArgumentParser()
... | code_fim | hard | {
"lang": "python",
"repo": "ComparativeGenomicsToolkit/Comparative-Annotation-Toolkit",
"path": "/programs/convert_ncbi_gff3",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def rum_saveshell2log(cmd,ordilogfile,errorlogfile):
fdout = open(ordilogfile, 'a')
fderr = open(errorlogfile, 'a')
p = subprocess.Popen(cmd, stdout=fdout, stderr=fderr, shell=True, encoding='utf-8')
if p.poll():
return 1
p.wait()
return 0
if __name__ == '__main__':
pr... | code_fim | medium | {
"lang": "python",
"repo": "LewisGu/SteamRankTimerSpider",
"path": "/RunTimerSpiderWithLog.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fdout = open(ordilogfile, 'a')
fderr = open(errorlogfile, 'a')
p = subprocess.Popen(cmd, stdout=fdout, stderr=fderr, shell=True, encoding='utf-8')
if p.poll():
return 1
p.wait()
return 0
if __name__ == '__main__':
print('the steam rank spider is started\nlog recording.... | code_fim | medium | {
"lang": "python",
"repo": "LewisGu/SteamRankTimerSpider",
"path": "/RunTimerSpiderWithLog.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LewisGu/SteamRankTimerSpider path: /RunTimerSpiderWithLog.py
import os
import time
import subprocess
errorlogfile = f'ErrorLog.log'
ordilogfile = f'OrdiLog.log'
run_spider_command = 'python3 TimerSpider.py'
current_folder = os.getcwd() #表示当前所处的文件夹
# this script is used to start spider b... | code_fim | medium | {
"lang": "python",
"repo": "LewisGu/SteamRankTimerSpider",
"path": "/RunTimerSpiderWithLog.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> again_conflict_data = []
for item_data in table_data:
if item_data['name'] != item_data['src_name']:
tag = self.case_data_manager.db_helper.query_tag_by_name(item_data['name'])
if tag:
again_conflict_data.append(item_data['nam... | code_fim | hard | {
"lang": "python",
"repo": "chenlei-123/uitester",
"path": "/uitester/ui/case_manager/conflict_tag.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenlei-123/uitester path: /uitester/ui/case_manager/conflict_tag.py
# @Time : 2016/8/30 15:46
# @Author : lixintong
import math
import os
from threading import Thread
from PyQt5 import uic
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont, QImage, QPixmap, QMovie
from PyQt5.QtWidgets... | code_fim | hard | {
"lang": "python",
"repo": "chenlei-123/uitester",
"path": "/uitester/ui/case_manager/conflict_tag.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bchaiks/2D_Cutting_Stock path: /cutting_stock_OO.py
'''
Aproach for solving an instance using this file:
import cutting_stock_OO as cso
# Inputs
request = "some json request dict with the parts"
# size of stock sheets
sheet_size = [96.0, 48.0]
# desired margin at edge of sheet
sheet_margin ... | code_fim | hard | {
"lang": "python",
"repo": "bchaiks/2D_Cutting_Stock",
"path": "/cutting_stock_OO.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return(OUTPUT)
'''
## TEST PART LIST
p_m = 1.0
s_m = 1.0
s_d = [96., 48.]
parts = {
"1": [45.0, 15.0],
"2": [50.0, 12.0],
"3": [55.0, 13.0],
"4": [30.0, 9.0],
"5": [12.0, 9.0],
"6": [67.0, 9.0]}
parts = {
"1": [67.0, 9.0],
"2": [67.0, 9.0],
"3": [67.0, 9.0],
... | code_fim | hard | {
"lang": "python",
"repo": "bchaiks/2D_Cutting_Stock",
"path": "/cutting_stock_OO.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brenowca/graphlab path: /apps/bnets/generatingBNets.py
import sys, itertools
from random import choice, sample, seed
from os import path, makedirs
from reading_bnets import createBBNF
'''
This method returns a bayesian network, a pair (vars,cpds) of maps that encompass the structure of the netw... | code_fim | hard | {
"lang": "python",
"repo": "brenowca/graphlab",
"path": "/apps/bnets/generatingBNets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> seed(r_seed)
def choose_children_random(id):
n_children = min(nodes_qtd-id, out_degree)
if(n_children > 0):
return sample(range(id+1, nodes_qtd+1), n_children)
else:
return []
def choose_cardinality(id):
if(max_cardinality > 0):
... | code_fim | hard | {
"lang": "python",
"repo": "brenowca/graphlab",
"path": "/apps/bnets/generatingBNets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def newreservation(request):
if request.method == 'POST':
form = ReservationForm(request.POST)
if form.is_valid():
r = Reservation()
r.user = request.user
r.resource = Resource.objects.get(pk=int(request.POST['resource']))
r.priority = request.POST['priority']
r.reservation_start = req... | code_fim | hard | {
"lang": "python",
"repo": "simon-andrews/django-resource-scheduler",
"path": "/resource_scheduler/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simon-andrews/django-resource-scheduler path: /resource_scheduler/views.py
from django.http import Http404
from django.shortcuts import redirect, render, render_to_response
from .forms import ResourceForm, ReservationForm
from .models import Resource, Reservation
def index(request):
return r... | code_fim | hard | {
"lang": "python",
"repo": "simon-andrews/django-resource-scheduler",
"path": "/resource_scheduler/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomciopp/FrameworkBenchmarks path: /frameworks/Python/webware/app/Context/DbSession.py
import os
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
DBDRIVER = 'mysql'
DBHOSTNAME = 'tfb-database'
DATABASE_URI = '%s... | code_fim | easy | {
"lang": "python",
"repo": "tomciopp/FrameworkBenchmarks",
"path": "/frameworks/Python/webware/app/Context/DbSession.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> Base = declarative_base()
db_engine = create_engine(DATABASE_URI)
Session = sessionmaker(bind=db_engine)
DbSession = Session()<|fim_prefix|># repo: tomciopp/FrameworkBenchmarks path: /frameworks/Python/webware/app/Context/DbSession.py
import os
from sqlalchemy.ext.declarative import declarative_base... | code_fim | easy | {
"lang": "python",
"repo": "tomciopp/FrameworkBenchmarks",
"path": "/frameworks/Python/webware/app/Context/DbSession.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
dataYear = input("Please chose year fo analysis (2015 or 2016) \n")
project_dir = str(Path(__file__).resolve().parents[1])
main(project_dir, dataYear)<|fim_prefix|># repo: sebastian-konicz/WRM path: /src/CreatingReport.py
from pathlib import Path
import data.aDataLo... | code_fim | medium | {
"lang": "python",
"repo": "sebastian-konicz/WRM",
"path": "/src/CreatingReport.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sebastian-konicz/WRM path: /src/CreatingReport.py
from pathlib import Path
import data.aDataLoadAndCleaningHistorical as DataLoad
import data.bDataEnrichment as DataEnrichment
import features.RidingPatternsPlots as Plots
import visualization.NetArivalsDepartures
<|fim_suffix|> DataLoad.main(d... | code_fim | medium | {
"lang": "python",
"repo": "sebastian-konicz/WRM",
"path": "/src/CreatingReport.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # do two passes to put all non-optional edges first
for source, dest, optional in self.edges:
if optional:
continue
lines.append(f" {source} -> {dest};")
for source, dest, optional in self.edges:
if not optional:
... | code_fim | hard | {
"lang": "python",
"repo": "globus/globus-sdk-python",
"path": "/src/globus_sdk/experimental/scope_parser/_parser.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: globus/globus-sdk-python path: /src/globus_sdk/experimental/scope_parser/_parser.py
from __future__ import annotations
import typing as t
from collections import defaultdict, deque
from .errors import ScopeCycleError, ScopeParseError
SPECIAL_CHARACTERS = set("[]* ")
SPECIAL_TOKENS = set("[]*")... | code_fim | hard | {
"lang": "python",
"repo": "globus/globus-sdk-python",
"path": "/src/globus_sdk/experimental/scope_parser/_parser.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # for each child edge, do two basic things:
# - check if we found a back-edge (cycle!)
# - create a new path to explore, with the child node as its current
# terminus
for edge in children:
_, dest, _ = edge
if de... | code_fim | hard | {
"lang": "python",
"repo": "globus/globus-sdk-python",
"path": "/src/globus_sdk/experimental/scope_parser/_parser.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azeem110201/quick-dsa path: /quickdsa/sorting/bubble.py
from typing import List
def BubbleSort(nums: List, reverse: bool = False) -> List:
'''
Functions takes in two arguments that is the array and reverse which indicates ascending or descending sorting.
'''
<|fim_suffix|> r... | code_fim | hard | {
"lang": "python",
"repo": "azeem110201/quick-dsa",
"path": "/quickdsa/sorting/bubble.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = len(nums)
if reverse == True:
for i in range(n):
for j in range(n - i - 1):
if nums[j] < nums[j+1]:
nums[j+1], nums[j] = nums[j], nums[j+1]
return nums
else:
for i in range(n):
for j in range(n - i ... | code_fim | hard | {
"lang": "python",
"repo": "azeem110201/quick-dsa",
"path": "/quickdsa/sorting/bubble.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> df = pd.DataFrame(data, columns=[
'protein',
'dms',
'model_name',
'corr',
'pval',
])
plt.figure(figsize=(12, 5))
sns.barplot(
data=df,
x='protein',
y='corr',
hue='model_name',
ci=None,
)
sns.stripplot(... | code_fim | medium | {
"lang": "python",
"repo": "brianhie/evolocity",
"path": "/bin/plot_dms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brianhie/evolocity path: /bin/plot_dms.py
from utils import *
def load_model(model_name):
data = []
with open(f'target/dms/dms_{model_name}.log') as f:
for line in f:
line = line.rstrip().split(' | ')[-1]
if line.startswith('Results for '):
... | code_fim | hard | {
"lang": "python",
"repo": "brianhie/evolocity",
"path": "/bin/plot_dms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebook/ThreatExchange path: /hasher-matcher-actioner/hmalib/lambdas/api/datasets.py
# Copyright (c) Meta Platforms, Inc. and affiliates.
import bottle
import typing as t
from dataclasses import dataclass, asdict
from mypy_boto3_dynamodb.service_resource import Table
from hmalib import metrics... | code_fim | hard | {
"lang": "python",
"repo": "facebook/ThreatExchange",
"path": "/hasher-matcher-actioner/hmalib/lambdas/api/datasets.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@dataclass
class MatchSettingsResponse(JSONifiable):
match_settings: t.List[MatchSettingsResponseBody]
def to_json(self) -> t.Dict:
return {
"match_settings": [settings.to_json() for settings in self.match_settings]
}
@dataclass
class MatchSettingsUpdateRequest(Dict... | code_fim | hard | {
"lang": "python",
"repo": "facebook/ThreatExchange",
"path": "/hasher-matcher-actioner/hmalib/lambdas/api/datasets.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return cls(
d["privacy_group_id"],
d["pdq_match_threshold"],
)
@dataclass
class MatchSettingsUpdateResponse(JSONifiable):
response: str
def to_json(self) -> t.Dict:
return asdict(self)
def _get_signal_hash_count_and_last_modified(
threat_exc... | code_fim | hard | {
"lang": "python",
"repo": "facebook/ThreatExchange",
"path": "/hasher-matcher-actioner/hmalib/lambdas/api/datasets.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dazuma/synthtool path: /tests/test_autosynth_git.py
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/... | code_fim | hard | {
"lang": "python",
"repo": "dazuma/synthtool",
"path": "/tests/test_autosynth_git.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Many commit messages, especially from commits in googleapis/googleapis like
https://github.com/googleapis/googleapis/commit/9ff6fd3b22f99167827e89aae7778408b5e82425
do not not have a blank line separating the subject from the body. In such cases,
we only want to get the first line.
... | code_fim | hard | {
"lang": "python",
"repo": "dazuma/synthtool",
"path": "/tests/test_autosynth_git.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andela-Taiwo/favorite-things path: /backend/favorite_things/response.py
from rest_framework.response import Response
class FavoriteAPIResponse(Response):
<|fim_suffix|> super(FavoriteAPIResponse, self).__init__(
data, status, template_name, headers, exception, content_type
... | code_fim | hard | {
"lang": "python",
"repo": "andela-Taiwo/favorite-things",
"path": "/backend/favorite_things/response.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> template_name=None, headers=None,
exception=False, content_type=None,
schema=None):
data = {
'VERSION': 1,
'schema': schema,
'payload': data
}
super(FavoriteAPIResponse, self).__init__(
... | code_fim | hard | {
"lang": "python",
"repo": "andela-Taiwo/favorite-things",
"path": "/backend/favorite_things/response.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ImperialCollegeLondon/champ path: /main/migrations/0012_support_oauth.py
# Generated by Django 3.2.2 on 2021-08-05 14:48
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AddField(
model_name='profil... | code_fim | hard | {
"lang": "python",
"repo": "ImperialCollegeLondon/champ",
"path": "/main/migrations/0012_support_oauth.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='profile',
name='affiliation',
field=models.CharField(default='', max_length=50),
preserve_default=False,
),
migrations.AddField(
model_name='profile',
name='f... | code_fim | hard | {
"lang": "python",
"repo": "ImperialCollegeLondon/champ",
"path": "/main/migrations/0012_support_oauth.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class FeedViewsTest(TestCase):
def setUp(self):
self.test_feed = Feed.objects.create(feed_url="http://example.com/feed.xml")
self.test_item = Item.objects.create(feed=self.test_feed, link="http://example.com/feedaggregator-news", title="Some title")
def test_index(self):
... | code_fim | hard | {
"lang": "python",
"repo": "fasouto/django-feedaggregator",
"path": "/feedaggregator/tests/test_views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class SyndicationTest(TestCase):
def setUp(self):
self.rss_example = b'<?xml version="1.0" encoding="utf-8"?>\n<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Latest posts</title><link>http://example.com/feed/rss/</link><description></description><atom:link href="h... | code_fim | hard | {
"lang": "python",
"repo": "fasouto/django-feedaggregator",
"path": "/feedaggregator/tests/test_views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fasouto/django-feedaggregator path: /feedaggregator/tests/test_views.py
# -*- coding: utf-8 -*-
from django.test import TestCase, override_settings
from django.core.urlresolvers import reverse
from django.conf import settings
from feedaggregator.models import Item, Feed
class OPMLExportTests(T... | code_fim | hard | {
"lang": "python",
"repo": "fasouto/django-feedaggregator",
"path": "/feedaggregator/tests/test_views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>########################## read in files
abundances_file = open(args.abundance_name, "r")
abundances_d = {}
#abundance_total_d {}
timeToDate_d = {}
times_index = 'NA'
for line in abundances_file:
line_l = line.strip().split(",")
if line_l[0] == "names":
times_index = line_l.index("times")
... | code_fim | hard | {
"lang": "python",
"repo": "jennifer-bio/epimuller",
"path": "/scripts/drawMuller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jennifer-bio/epimuller path: /scripts/drawMuller.py
e, size = (str(WIDTH)+"px", str(HEIGHT)+"px"))
img.add(img.polyline(points = [(0,0), (0, HEIGHT), (WIDTH, HEIGHT), (WIDTH, 0)], stroke='black', fill = 'white'))
#img.add(img.text(text = 'Legend', insert = (WIDTH-LEGENDWIDTH, LEGENDWIDTH), font... | code_fim | hard | {
"lang": "python",
"repo": "jennifer-bio/epimuller",
"path": "/scripts/drawMuller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> startDay = date.fromisoformat(timeToDate_d[times_l[0]])
endDay = date.fromisoformat(timeToDate_d[times_l[1]])
global timeWindow
timeWindow = (endDay-startDay).days
hierarchy_file = open(args.parentHierarchy_name, "r")
childParent_d = {}
cladeColor_d = {}
hasHeader = False
hasColor = False
... | code_fim | hard | {
"lang": "python",
"repo": "jennifer-bio/epimuller",
"path": "/scripts/drawMuller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kimbugp/MyDiary path: /app/schemas/users.py
import re
from jsonschema import validate
from app.utils.error_handlers import ValidationError
user_schema = {
'type': 'object',
'properties': {
'username': {"allOf": [
{"type": "string"},
{"minLength": 5}
... | code_fim | hard | {
"lang": "python",
"repo": "kimbugp/MyDiary",
"path": "/app/schemas/users.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ''' Function to process user signup info from browser'''
schema = user_schema.copy()
if partial:
schema.pop('required')
validate(var, schema)
if re.match(r'\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b', var['email'], re.I) and re.match("^[A-Za-z0-9_-]*$", var['username']):
... | code_fim | medium | {
"lang": "python",
"repo": "kimbugp/MyDiary",
"path": "/app/schemas/users.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> optimizer.zero_grad()
y_pred = model(x)
loss = loss_fn(y_pred.float(), y.float())
### Change loss.backward() within the closure to: ###
optimizer.backward(loss)
###
return loss
loss = optimizer.step(closure)
print("final loss = ", loss)<|fim_pre... | code_fim | hard | {
"lang": "python",
"repo": "hzshuai/apex",
"path": "/examples/deprecated_api/FP16_Optimizer_simple/closure.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hzshuai/apex path: /examples/deprecated_api/FP16_Optimizer_simple/closure.py
import torch
from apex.fp16_utils import FP16_Optimizer
torch.backends.cudnn.benchmark = True
<|fim_suffix|>optimizer = torch.optim.LBFGS(model.parameters())
### Construct FP16_Optimizer
optimizer = FP16_Optimizer(opti... | code_fim | hard | {
"lang": "python",
"repo": "hzshuai/apex",
"path": "/examples/deprecated_api/FP16_Optimizer_simple/closure.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class MyGraph(models.Model):
profile = models.ForeignKey(Profile)
name = models.CharField(max_length=64)
url = models.TextField()<|fim_prefix|># repo: zwidny/graphite path: /src/account/models.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from django.db import models
from... | code_fim | hard | {
"lang": "python",
"repo": "zwidny/graphite",
"path": "/src/account/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> profile = models.ForeignKey(Profile)
name = models.CharField(max_length=64)
class Window(models.Model):
view = models.ForeignKey(View)
name = models.CharField(max_length=64)
top = models.IntegerField()
left = models.IntegerField()
width = models.IntegerField()
height = mo... | code_fim | medium | {
"lang": "python",
"repo": "zwidny/graphite",
"path": "/src/account/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zwidny/graphite path: /src/account/models.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from django.db import models
from django.contrib.auth import models as auth_models
class Profile(models.Model):
user = models.OneToOneField(auth_models.User)
history = models.Tex... | code_fim | hard | {
"lang": "python",
"repo": "zwidny/graphite",
"path": "/src/account/models.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scalabli/quo path: /tests/test_console.py
.platform == "win32", reason="does not run on windows")
def test_16color_terminal():
console = Console(
force_terminal=True, _environ={"TERM": "xterm-16color"}, legacy_windows=False
)
assert console.color_system == "standard"
@pytest... | code_fim | hard | {
"lang": "python",
"repo": "scalabli/quo",
"path": "/tests/test_console.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scalabli/quo path: /tests/test_console.py
\x1b[0m\n"
result = console.file.getvalue()
print(repr(result))
assert result == expected
def test_log_milliseconds():
def time_formatter(timestamp: datetime) -> Text:
return Text("TIME")... | code_fim | hard | {
"lang": "python",
"repo": "scalabli/quo",
"path": "/tests/test_console.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_print_json_error():
console = Console(file=io.StringIO(), color_system="truecolor")
with pytest.raises(TypeError):
console.print_json(["foo"], indent=4)
def test_print_json_data():
console = Console(file=io.StringIO(), color_system="truecolor")
console.print_json(data=[F... | code_fim | hard | {
"lang": "python",
"repo": "scalabli/quo",
"path": "/tests/test_console.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> imp = BGBlImporter(
options['db_path'], options['doc_path'],
rerun=options['rerun'],
reindex=options['reindex'],
watermark=options['watermark'],
years=create_range_argument(options['years']),
parts=create_range_argument(option... | code_fim | hard | {
"lang": "python",
"repo": "okfde/api.offenegesetze.de",
"path": "/bgbl/management/commands/index_documents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser.add_argument('db_path', type=str)
parser.add_argument('doc_path', type=str)
parser.add_argument("-r", action='store_true',
dest='rerun')
parser.add_argument("-i", action='store_true',
dest='reindex')
par... | code_fim | hard | {
"lang": "python",
"repo": "okfde/api.offenegesetze.de",
"path": "/bgbl/management/commands/index_documents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: okfde/api.offenegesetze.de path: /bgbl/management/commands/index_documents.py
import datetime
from multiprocessing import Pool
from django.core.management.base import BaseCommand
from bgbl.search_indexes import (
_destroy_index, init_es
)
from bgbl.importer import BGBlImporter
def create_... | code_fim | hard | {
"lang": "python",
"repo": "okfde/api.offenegesetze.de",
"path": "/bgbl/management/commands/index_documents.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KahHinLai/cvguipy path: /genetic_search.py
#!/usr/bin/env python
import os, sys, subprocess
import argparse
import subprocess
import threading
import timeit
from multiprocessing import Queue, Lock
from configobj import ConfigObj
from numpy import loadtxt
from numpy.linalg import inv
import matpl... | code_fim | hard | {
"lang": "python",
"repo": "KahHinLai/cvguipy",
"path": "/genetic_search.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__' :
parser = argparse.ArgumentParser(description="compare all sqlites that are created by cfg_combination.py to the Annotated version to find the ID of the best configuration")
parser.add_argument('inputVideo', help= "input video filename")
parser.add_argument('-r', '--... | code_fim | hard | {
"lang": "python",
"repo": "KahHinLai/cvguipy",
"path": "/genetic_search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cdb = trajstorage.CVsqlite(dbfile)
cdb.open()
cdb.getLatestAnnotation()
cdb.createBoundingBoxTable(cdb.latestannotations, inv(homography))
cdb.loadAnnotaion()
for a in cdb.annotations:
a.computeCentroidTrajectory(homography)
print("Latest Annotaions in "+dbfile+": ", cd... | code_fim | hard | {
"lang": "python",
"repo": "KahHinLai/cvguipy",
"path": "/genetic_search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: certik/sfepy path: /tests/test_quadratures.py
# 13.11.2007, c
# last revision: 25.02.2008
filename_mesh = 'database/tests/triquad.mesh'
material_1 = {
'name' : 'm',
'mode' : 'here',
'region' : 'Omega',
'val' : 1.0,
}
region_1000 = {
'name' : 'Omega',
'select' : 'all',
}
... | code_fim | hard | {
"lang": "python",
"repo": "certik/sfepy",
"path": "/tests/test_quadratures.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
test = Test( conf = conf, options = options )
return test
from_conf = staticmethod( from_conf )
##
# 13.11.2007, c
def test_problem_creation( self ):
from sfepy.solvers.generic import solve_stationary
problem, vec, data = solve_stationary( self.conf )
... | code_fim | hard | {
"lang": "python",
"repo": "certik/sfepy",
"path": "/tests/test_quadratures.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def setUpClass(cls):
super(MonolithicKEpsilonPeriodicTest, cls).setUpCase(
"ChannelFlowTest",
"channel_flow_mon_ke_parameters.json",
False)
if __name__ == '__main__':
UnitTest.main()<|fim_prefix|># repo: KratosMultiphysics/Kratos path... | code_fim | hard | {
"lang": "python",
"repo": "KratosMultiphysics/Kratos",
"path": "/applications/RANSApplication/tests/monolithic_k_epsilon_formulation_tests.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> cls.transient_scheme_type = "bossak"
class MonolithicKEpsilonPeriodicTest(periodic_turbulence_modelling_test_case.PeriodicTurbulenceModellingTestCase):
@classmethod
def setUpClass(cls):
super(MonolithicKEpsilonPeriodicTest, cls).setUpCase(
"ChannelFlowTest",
... | code_fim | medium | {
"lang": "python",
"repo": "KratosMultiphysics/Kratos",
"path": "/applications/RANSApplication/tests/monolithic_k_epsilon_formulation_tests.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KratosMultiphysics/Kratos path: /applications/RANSApplication/tests/monolithic_k_epsilon_formulation_tests.py
import KratosMultiphysics.KratosUnittest as UnitTest
import turbulence_modelling_test_case
import periodic_turbulence_modelling_test_case
class MonolithicKEpsilonTest(turbulence_modell... | code_fim | hard | {
"lang": "python",
"repo": "KratosMultiphysics/Kratos",
"path": "/applications/RANSApplication/tests/monolithic_k_epsilon_formulation_tests.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nainaidaa/dapodik path: /tests/test_validasi.py
import attr
from dapodik.base import BaseDapodik
from dapodik.validasi import Validasi
from dapodik.validasi import ValidasiSekolah
from dapodik.validasi import ValidasiPrasarana
from dapodik.validasi import ValidasiPesertaDidik
from dapodik.validas... | code_fim | medium | {
"lang": "python",
"repo": "nainaidaa/dapodik",
"path": "/tests/test_validasi.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert issubclass(BaseValidasi, BaseDapodik)
def test_member():
assert attr.has(Validasi)
assert attr.has(ValidasiSekolah)
assert issubclass(ValidasiSekolah, Validasi)
assert attr.has(ValidasiPrasarana)
assert issubclass(ValidasiPrasarana, Validasi)
assert attr.has(ValidasiPe... | code_fim | medium | {
"lang": "python",
"repo": "nainaidaa/dapodik",
"path": "/tests/test_validasi.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: persinM/IFPI-assessment path: /Task3Cleanse.py
from websites.resources.data import WEBSITES
def cleanse_data(sites):
<|fim_suffix|> Checks and updates sites so that 'https' urls are set to
secure = True and 'http' urls are set to secure = False
"""
for data_item in sites:
... | code_fim | medium | {
"lang": "python",
"repo": "persinM/IFPI-assessment",
"path": "/Task3Cleanse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Checks and updates sites so that 'https' urls are set to
secure = True and 'http' urls are set to secure = False
"""
for data_item in sites:
if data_item['url'][4] == 's':
data_item['secure'] = True
else:
data_item['secure'] = False
if __name__ == "... | code_fim | medium | {
"lang": "python",
"repo": "persinM/IFPI-assessment",
"path": "/Task3Cleanse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if p.status_code != 200:
return "Error in pinPost(): %s" % p.json()["error_msg"]
else:
post = p.json()["data"]
return post
def unpin(self, token, alias, id):
data = [{"id": id}]
p = requests.post(COLL_URI + "/%s/unpin" % alias, da... | code_fim | hard | {
"lang": "python",
"repo": "Vistaus/Norka",
"path": "/norka/writeasapi/collection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vistaus/Norka path: /norka/writeasapi/collection.py
import requests
import json
from .uri import COLL_URI
class collection(object):
def get(self, alias):
c = requests.get(COLL_URI + "/%s" % alias,
headers={"Content-Type": "application/json"})
if c.status_code... | code_fim | hard | {
"lang": "python",
"repo": "Vistaus/Norka",
"path": "/norka/writeasapi/collection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # (T, B, D) -> (B, D, T)
return x.permute([1, 2, 0])
class LabelSmoothingLoss(nn.Module):
def __init__(self, smoothing=0.1):
super(LabelSmoothingLoss, self).__init__()
self.smoothing = smoothing
def forward(self, logits, target):
"""
:param logits... | code_fim | hard | {
"lang": "python",
"repo": "hackerekcah/ESRelation",
"path": "/layers/base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hackerekcah/ESRelation path: /layers/base.py
import torchaudio
import torch.nn as nn
import torch.nn.functional as F
import torch
import copy
class FakeLrScheduler:
def step(self):
pass
def get_clones(module, n):
return nn.ModuleList([copy.deepcopy(module) for i in range(n)])
... | code_fim | hard | {
"lang": "python",
"repo": "hackerekcah/ESRelation",
"path": "/layers/base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, x):
# (T, B, D) -> (B, D, T)
return x.permute([1, 2, 0])
class LabelSmoothingLoss(nn.Module):
def __init__(self, smoothing=0.1):
super(LabelSmoothingLoss, self).__init__()
self.smoothing = smoothing
def forward(self, logits, target):
... | code_fim | hard | {
"lang": "python",
"repo": "hackerekcah/ESRelation",
"path": "/layers/base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def construct_go_op(self):
main_program = self.helper.main_program
go_block = main_program.current_block()
parent_block = main_program.block(main_program.current_block()
.parent_idx)
x_name_list = set()
out_vars = set()... | code_fim | hard | {
"lang": "python",
"repo": "kavyasrinet/Paddle",
"path": "/python/paddle/v2/fluid/concurrency.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kavyasrinet/Paddle path: /python/paddle/v2/fluid/concurrency.py
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the L... | code_fim | hard | {
"lang": "python",
"repo": "kavyasrinet/Paddle",
"path": "/python/paddle/v2/fluid/concurrency.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FB-5/Desafio_dataproc path: /contador.py
import sys
from pyspark import SparkContext, SparkConf
if __name__ == "__main__":
sc = SparkContext("local","PySpark Exemplo - Desafio Dataproc")
words = sc.textFile("gs://filipe-desafio-dataproc/livro.txt").flatMa<|fim_suffix|>.sortBy(lambda a:a[1... | code_fim | medium | {
"lang": "python",
"repo": "FB-5/Desafio_dataproc",
"path": "/contador.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>.sortBy(lambda a:a[1], ascending=False)
wordCounts.saveAsTextFile("gs://filipe-desafio-dataproc/resultado")<|fim_prefix|># repo: FB-5/Desafio_dataproc path: /contador.py
import sys
from pyspark import SparkContext, SparkConf
if __name__ == "__main__":
sc = SparkContext("local","PySpark Exemplo - ... | code_fim | medium | {
"lang": "python",
"repo": "FB-5/Desafio_dataproc",
"path": "/contador.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rinikerlab/PyGromosTools path: /pygromos/files/simulation_parameters/imd.py
"""
FUNCTIONLIB: gromos++ input file functions
Description:
in this lib, gromosXX input file mainpulating functions are gathered
Author: Kay Schaller & Benjamin Schroeder
"""
import numpy as np
import copy
... | code_fim | hard | {
"lang": "python",
"repo": "rinikerlab/PyGromosTools",
"path": "/pygromos/files/simulation_parameters/imd.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # single number
if isinstance(EIR, Number): # depends on SVALS and NRES
EIR_vector = [EIR for x in range(reeds_block.NUMSTATES)]
for z in EIR_vector:
EIR_matrix.append([z for i in range(int(reeds_block.NRES))... | code_fim | hard | {
"lang": "python",
"repo": "rinikerlab/PyGromosTools",
"path": "/pygromos/files/simulation_parameters/imd.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Darooks/MKDG path: /uploads/core/sobelTransformation.py
from django.core.files.storage import FileSystemStorage
from skimage.morphology import skeletonize
from skimage.color.adapt_rgb import adapt_rgb, each_channel, hsv_value
from skimage.exposure import rescale_intensity
from skimage import fil... | code_fim | hard | {
"lang": "python",
"repo": "Darooks/MKDG",
"path": "/uploads/core/sobelTransformation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def canny(myfile):
img = color.rgb2gray(io.imread(myfile))
edges = img_as_float(feature.canny(img, sigma=2))
file_url = os.path.join(settings.MEDIA_ROOT, 'image_transformed.jpg')
scipy.misc.imsave(file_url, edges)
return IMAGE_URL<|fim_prefix|># repo: Darooks/MKDG path: /uploads/core/... | code_fim | hard | {
"lang": "python",
"repo": "Darooks/MKDG",
"path": "/uploads/core/sobelTransformation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Este1le/hpo_nmt path: /scripts/eval_single.py
import argparse
import numpy as np
def get_args():
parser = argparse.ArgumentParser(description="Evaluate HPO methods on single-objective optimization.")
parser.add_argument("--sample-sequence", "-s", type=str, help="The path to a file of sam... | code_fim | hard | {
"lang": "python",
"repo": "Este1le/hpo_nmt",
"path": "/scripts/eval_single.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
args = get_args()
sample_sequence = args.sample_sequence
evals = args.evals
num_init = args.num_init
tolerance = args.tolerance
budget = args.budget
# Read sampling sequences
with open(sample_sequence) as f:
lines = f.readlines()
ss =... | code_fim | hard | {
"lang": "python",
"repo": "Este1le/hpo_nmt",
"path": "/scripts/eval_single.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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