sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
75bb0a8bafa94a8ba775ec7974933ac8ded77cd319afd28db522082322d65e1a | Python | 116,693 | 3,025 | # Analysis
from cProfile import label
import numpy as np
import pandas as pd
from scipy.interpolate import griddata
# Visualization
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
import colour
# This comput... |
28df6a90cd8058e2a61eab49854e02a1b8663a80719b809beee0d89f62f00283 | Python | 116,914 | 2,179 | # Auto generated from ontology_metadata.yaml by pythongen.py version: 0.0.1
# Generation date: 2024-04-14T16:59:12
# Schema: Ontology-Metadata
#
# id: https://w3id.org/oak/ontology-metadata
# description: Schema for ontology metadata
# license: https://creativecommons.org/publicdomain/zero/1.0/
import dataclasses
impo... |
28cad96857103a4e4fa0e0a9b7b1a024d77d387272f447f5af8ec36acd892d80 | Python | 117,601 | 3,471 | # Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
"""Framework for figures embedded in a GUI
Implementation
==============
Plotting is implemented hierarchically in 3 different types of
functions/classes:
top-level (public names)
Top-level functions or classes have public names create an entire figure.
... |
f18bbdc10f3053172382a6ba69b933792a2495db1ab8460e15f9779ee98f1eb9 | Python | 117,677 | 2,493 | """
========================================================================================================================
Analysis Module
========================================================================================================================
Collection of analysis and utility functions that are used... |
931b6f006985704215fe995e305961301a65e81ab9750b0f1c16b9d9e549780e | Python | 119,059 | 2,839 | import logging
import math
import re
import shutil
import typing
from collections import defaultdict
from dataclasses import dataclass, field
from operator import or_
from pathlib import Path
from typing import (
Any,
Dict,
Iterable,
Iterator,
List,
Optional,
Set,
Tuple,
Type,
Un... |
cf2e52064cf5225de8e759b4c55031b2e20327e9e3011d6d3dc95c8aa29ccfaf | Python | 120,059 | 2,276 | # -*- coding: utf-8 -*-
"""
@author: Michele D'Orazio
———————————————————————————
Michele D'Orazio, PhD
Dept. Electronic Engineering
Interdisciplinary Center of Advanced Study of
Organ-on-Chip and Lab-on-Chip Applications (IC-LOC)
University of Rome Tor Vergata
Via del politecnico 1, 00133 Roma, Italy
co... |
5730db0efd3e4bae22f2d5f13761af913e719a8622a5e5ef3d387883103eb223 | Python | 122,862 | 3,177 | import cv2
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import matplotlib.colors as mcolors
import numpy as np
import pandas as pd
import sys
import math
import itertools
import scipy
import scikit_posthocs
import matplotlib as mpl
from itertools import groupby
from scipy.stats import kde
import utils.g... |
02af70177a4cdde55f8093de8cc4053c38b8d11421eaccf5b723e1ddd0b8c40e | Python | 125,290 | 2,299 | import os
import types
import re
import json
import logging
import itertools
import csv
import copy
import pickle
import numpy as np
import multiprocessing
import matplotlib.pyplot as plt
import matplotlib.colors as mcol
import slideflow as sf
import slideflow.util.neptune_utils
from os.path import join, exists, isdir... |
89c517e7c72814c2fffea19a8851cbfc0bb95ed4f7448e09e1806af8a8bd8741 | Python | 125,951 | 3,173 | __author__ = 'duarte'
"""
========================================================================================================================
Input Architect Module
========================================================================================================================
(this documentation is incomp... |
a41da02b06afc60a96770184da4f3066d06184ce2629cb8b7465b816ba102ca1 | Python | 126,993 | 2,869 | """
Mask R-CNN
The main Mask R-CNN model implementation.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
"""
import os
import random
import datetime
import re
import math
import logging
from collections import OrderedDict
import multiprocessing
im... |
afc8f304ee886056306ddeb25600028305270377a6c4b98ae41e5fd79ea42330 | Python | 127,190 | 3,824 | __author__ = 'duarte'
"""
====================================================================================
Signals Module
====================================================================================
Collection of utilities and functions to create, use and manipulate signals (spike
data or analog data)
(inco... |
96a2b05199cf6d4b4db10f0753d17b72d3c381ba32bac644191d19eb750c1b15 | Python | 131,100 | 3,433 | # cython: language_level=3
# Time-stamp: <2025-11-12 22:14:22 Tao Liu>
"""Input parsers used across MACS3 for reading alignment-like formats.
This code is free software; you can redistribute it and/or modify it
under the terms of the BSD License (see the file LICENSE included with
the distribution).
"""
# ----------... |
ccfba50648ea67f84802d06980a1c68b273b475f97c9811af3d1d7609e2ca3de | Python | 131,272 | 3,099 | """
========================================================================================================================
Visualization Module
========================================================================================================================
(incomplete documentation)
Provides all the relevant... |
8fea7a6648b8c93a111200e3d0d40aa3e9f8fe9f78e52b238dbe2b435620b4e9 | Python | 135,996 | 3,855 | '''Statistical tests for NDVars
Common Attributes
-----------------
The following attributes are always present. For ANOVA, they are lists with the
corresponding items for different effects.
t/f/... : NDVar
Map of the statistical parameter.
p_uncorrected : NDVar
Map of uncorrected p values.
p : NDVar | None
... |
4d1f9ba413ee3d7c0f8ac226a5bc0e4f87462c8a574a0849c236ba7fdec14f5b | Python | 144,850 | 3,887 | """RHINO functions."""
from __future__ import annotations
import os
import shutil
import subprocess
import warnings
from pathlib import Path
import numpy as np
import pandas as pd
import nibabel as nib
import nilearn as nil
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from matplotlib.... |
40cd352c0ff92ef672d7f68a162350e9722eec7b64f8683d52b8cb55a877a889 | Python | 145,890 | 4,034 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# tifffile.py
# Copyright (c) 2008-2014, Christoph Gohlke
# Copyright (c) 2008-2014, The Regents of the University of California
# Produced at the Laboratory for Fluorescence Dynamics
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or wit... |
25a571b105c739fba910558b0061914397f13a56b36163784bcb881dd8de4d2a | Python | 146,396 | 3,349 | """Transforms time domain signals to the frequency domain."""
import warnings
from logging import getLogger
from typing import TYPE_CHECKING, Any, Literal, Protocol, TypedDict, TypeVar, runtime_checkable
import numpy as np
from numpy.typing import NDArray
from scipy.signal.windows import dpss as scipy_dpss
from scipy... |
99f138c92fe0ee684693a5aff26e16e8aaccec5ee8f380d6abb386d48f0d23a2 | Python | 146,642 | 3,853 | """
========================================================================================================================
Signals Module
========================================================================================================================
Collection of utilities and functions to create, use and ma... |
89549cda17834237681517345db2dae499a4297a9369337e8ac3996ac03b09d2 | Python | 147,244 | 3,194 | # Built-in
import builtins
import csv
import json
import multiprocessing
import os
import platform
import shutil
import subprocess
import sys
import threading
import time
from datetime import datetime
from pathlib import Path
from typing import Any
# Third-party
import brian2 as b2
import brian2cuda # noqa: F401
impo... |
4d1e52f785ee241c31c4593e0913739ceeabf2cf92f0df63bc5ba4d706c4e152 | Python | 151,685 | 4,601 | from copy import deepcopy
import pickle
from typing import Tuple, Union, List
import numpy as np
import matplotlib
from matplotlib import cm, colors
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
import statsmodels.api as sm
import seaborn as sns
from scipy.stats import ttest_ind
... |
286ddee571850a4d9f860e1f2d9986d8a18ee969bb63ec8ffa25005a5b664e3d | Python | 154,817 | 3,191 | """
========================================================================================================================
Input Architect Module
========================================================================================================================
(this documentation is incomplete)
Classes:
------... |
18a07f14e7aaa889eb430351134f87f526f4e3a8b247c43137c85d3341cf5785 | Python | 156,434 | 3,763 | # Analysis
import numpy as np
import pandas as pd
from scipy.signal import resample, coherence, csd, correlate, welch
# Visualization
from matplotlib import pyplot as plt
import seaborn as sns
# Statistics
from statsmodels.tsa.stattools import grangercausalitytests as gc_test
from statsmodels.stats.stattools import d... |
8a3e0f0fc96f12c7a290270ff6bc2fb2c5e466c684008332a52b00f738aa7245 | Python | 157,957 | 4,957 | # GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2015 in Python 2.7
# The GoPiGo Connectome uses a Postsynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activate... |
98b90d45fb6726ce81eeaa2abf817ea9e6b1d92fd6d0544be8779183114092c2 | Python | 158,107 | 4,958 | # GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2015 in Python 2.7
# The GoPiGo Connectome uses a Postsynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activate... |
69388dfa00bc3adee47bdbed1fa757bfbae8cae615b53c4ae2ec32a39cf3ba5c | Python | 160,215 | 4,034 | import inspect
import json
import warnings
from unittest import mock
import numpy as np
import pytest
import scipy.fft
import xarray as xr
from spectral_connectivity import MorletWavelet, Multitaper, Welch
from spectral_connectivity._input_handling import (
_reject_unmaterialized_backing,
_time_axis_from_data... |
184d6fe0cff9f0b8cfa59a63b0a6491f13c3d311eb595789ab5c8329fb0c7b46 | Python | 197,938 | 4,963 | # GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2014, in Python 2.7
# The GoPiGo Connectome uses a postSynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activat... |
0fde52de3c571cd7019e7b407100814f0fc816be4bf9246b929c37180596e3f6 | Python | 199,082 | 4,992 | # GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2014, in Python 2.7
# The GoPiGo Connectome uses a postSynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activat... |
b599e8699a0cd81c6489b6724792bd86c94983e277fe62d7799931a8ff053446 | Python | 200,000 | 4,726 | # Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
"""MneExperiment class to manage data from a experiment
For testing purposed, set up an experiment class without checking for data:
MneExperiment.auto_delete_cache = 'disable'
MneExperiment.sessions = ('session',)
e = MneExperiment('.', find_subjects=False)
""... |
bfeacb8bf3b2ecd55b27e0e9142a098bad3b0f17d2d02952abf90db9b8ecf13e | Python | 200,000 | 4,088 | import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import butter,filtfilt
from sklearn.linear_model import LinearRegression
from sklearn.decomposition import PCA
from matplotlib.colors import ListedColormap
from sklearn.model_selection import train_test_split
import matplotlib.colors as colors
... |
cd7a5ca36df0699a4ebc0c7dab6fec5a67ab64a85c211389123026a9079c79a0 | Python | 200,000 | 6,122 | """
Command Line Interface to OAK
----------------------
Executed using "runoak" command
"""
# TODO: order commands.
# See https://stackoverflow.com/questions/47972638/how-can-i-define-the-order-of-click-sub-commands-in-help
import json
import logging
import statistics as stats
import sys
from collections import defa... |
f7a42bdbc330cbc54f946db1c02be5a4e761649b8ad0e7abbb60017a29650bb3 | Python | 200,000 | 5,782 | # Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
"""Data containers and basic operations
Data Representation
===================
Data is stored in three main vessels:
:class:`Factor`:
stores categorical data
:class:`Var`:
stores numeric data
:class:`NDVar`:
stores numerical data where each cell c... |
f99697b74b6134febba80f3f5c73acae289ca3bf9ccb9bbd504406f0e7328a9a | Python | 200,000 | 2,934 | # GoPiGo Connectome
# Written by Timothy Busbice, Gabriel Garrett, Geoffrey Churchill (c) 2014, in Python 2.7
# The GoPiGo Connectome uses a Postsynaptic dictionary based on the C Elegans Connectome Model
# This application can be ran on the Raspberry Pi GoPiGo robot with a Sonar that represents Nose Touch when activat... |
fb0f32ed36c69a02f08bfc80ce58520363eac3307a2e19715d9747a4f63b2f8f | Python | 200,000 | 4,536 | import os
import sys
from os.path import dirname, realpath, join
from sys import argv, exit
import copy
import pickle
import csv
import numpy as np
import pandas as pd
import math
import scipy
import scipy.io
import scipy.ndimage as ndi
from scipy.ndimage import map_coordinates
from natsort import natsorted, ns
impo... |
c9a6d2e895fc6f6a6c153e6eb7ba2e57ec9df968b1707c130aff7d69cb9db6f2 | Python | 200,002 | 4,336 | #! /usr/bin/python
# -*- coding: utf8 -*-
import tensorflow as tf
import time
from . import visualize
from . import utils
from . import files
from . import cost
from . import iterate
from . import ops
import numpy as np
from six.moves import xrange
import random, warnings
import copy
import inspect
# __all__ = [
# ... |
b65ff7ec30414d199cc959920f7e4aee2a7b08d695acbd9de0d6e2900eee8f86 | R | 24 | 1 | loadNamespace("future")
|
960580d252d7f5bfbf8871059bc45ae9b19cad09f7f964ff816246e7a71de3c3 | R | 40 | 1 | save_rrho_quads <- function(quad_list, ) |
4786fbd22ec916d2676f9bc4370c9dee4f47c410aa9d3a55cdacbf80bcf2c84e | R | 45 | 5 | # References {.unnumbered}
::: {#refs}
:::
|
33b7bd9ae24399462ed22d80fe0bd428ac6f1d91bd293f425efd9b88baf28003 | R | 52 | 4 | library(testthat)
library(RISC)
test_check("RISC")
|
7c19d6004bc32c231a4432eecc53bf2018f77ee83cd17367e0aeb2d3fdb4a4ef | R | 53 | 2 | install.packages('rjson')
install.packages('ggplot2') |
9eac50f7d39ba267166e9e44027a70183d6ebdf0f58cdd986678673819b6da23 | R | 56 | 4 | library(testthat)
library(galamm)
test_check("galamm")
|
b62c6acf37773bbca1bc2ed505f51685c765d7ed598162734e6c2461e306fdcd | R | 57 | 3 | library(testthat)
library(SingleR)
test_check("SingleR")
|
944c9bfbee5fa41c59022a4bc12ce81e7134675a3eb2210cffe4883ee1977719 | R | 68 | 3 | plan(multisession, workers = 2)
futureSessionInfo()
plan(sequential) |
f6c28b8e13d60b63e7983c3782516d34632db2745fa65524f8fac611ebad460f | R | 70 | 1 | devtools::install_github("shmohammadi86/ACTIONet", ref = "R-release")
|
c27340ff19d5cdd7be48d7513600465bdf28ed5e1b8a7c872ca35b2054ce4d36 | R | 71 | 5 | #' Antoni
#'
#' The face of an angel, the curls of the sea.
#'
"antoni" |
465f6ec64ebddd32c34828190c2ba02c73d076e352d5062dcf0af7adf10113ad | R | 96 | 5 | ## Undo future debug
options(future.debug = FALSE)
## Undo future strategy
future::plan(oplan)
|
f8d5f2eb355bec4e8510f0c4b4b81ff96ddc59eea7ac7d49a77bdbc51d96c43a | R | 100 | 5 | plan(multisession)
nbrOfWorkers() ## == availableCores()
plan(sequential)
nbrOfWorkers() ## == 1
|
837b3f37c9b90d1088aa14bf6197f6d6a49d2a42f3b20705e4bfd6a4358c74af | R | 104 | 4 | #' @export
combineCommonResults <- function(results) {
.Defunct(new = "combineRecomputedResults")
}
|
63fd38586ef9a024aadcbc9f870310abfd2a30e43fc10013064c999e056c1800 | R | 110 | 4 | ## Record original state
ovars <- ls(envir = globalenv())
oenvs <- oenvs0 <- Sys.getenv()
oopts0 <- options()
|
a02c3b758d4cb19b4af87f69f0b0f65b89c5061c6a26a74b6423cf5141382380 | R | 110 | 4 | #' @importFrom beachmat getExecutor
.onLoad <- function(libname, pkgname) {
set_executor(getExecutor())
}
|
6e10791ba0a74a44b94663ba3f1096c20d9d16ad0b5ae8fb7d8ac95ffc1297c4 | R | 122 | 9 | #' @tags sessionDetails
library(future)
sd <- sessionDetails()
print(sd)
print(sd, output = "message")
rm(list = "sd")
|
c0426d2bed5e28f78ec89c4f9a4f76d156a7144190e9b5f025ac942a310a9ecb | R | 124 | 5 | args = commandArgs(trailingOnly = T)
values = as.numeric(args)
delta = values - min(values)
w = 1/sum(exp(-delta/2))
cat(w)
|
5125084547c7228c5db30947f66469ba72fc5b7f63d61409f3d449b157ddfac6 | R | 126 | 1 | load('/share/quonlab/workspaces/ruoxinli/multitask_/data/iPSC_neuronal/FPP/regress_cellcycle_expid_selected_cells_genes.rda')
|
bc7d39923850cb179d39d9ee77c7fe6934659174987fceaccb22ee034160ab72 | R | 127 | 6 | counts <- mandelbrot(x = -0.75, y = 0, side = 3)
plot(counts)
\dontrun{
demo("mandelbrot", package = "future", ask = FALSE)
}
|
9b31754256e7eaca7569ab743ee6d3cd08c18420af994b7b66a1d1abfa237da2 | R | 132 | 7 | devtools::load_all()
data(Orthodont, package = "nlme")
x <- galamm(distance ~ age + (age | Subject), data = Orthodont)
plot(fm1)
|
587cc48d75d819dbdfa38ddde4ca8d7298341267ad22a0e26fd36cbe8d4221b8 | R | 139 | 5 | wgcna_color <- function(module, color) {
name_list <- rep(c("color"), nrow(module))
df <- cbind(module, name_list)
return(df)
}
|
d25d1268bcc05106c0c4bf0ecdf8cb1a7f648b40acc22a89c4d4ef889464a65e | R | 141 | 6 | testme <- as.environment("testme")
if (testme[["debug"]]) {
info <- utils::sessionInfo()
message("Session information:")
print(info)
}
|
c210c6c28035055d321c005c1b39947ce32c0b695bda1ebdcdb5c89bce763a61 | R | 145 | 4 | relevel_Timepoint <- function(df) {
df$Timepoint <- factor(df$Timepoint, levels = c("baseline", "48hrs", "4wks", "endpoint"))
return(df)
} |
e19a104f060a554132e607b3f48ee15ff64d5dd38faf15f541868da26d6c8d7b | R | 154 | 5 | #' @tags prologue-cleanup
#' @tags detritus-files
message("Test to clean up any detritus files that might originate from R CMD check running examples")
|
852e75029fb0b2f4ee9742773603ed205cb09b2cebaddfe8ce3a2b7c6e7f4fb8 | R | 157 | 10 | ### script to install R packages
# install CRAN packages
packs <- c(
'foreach',
'doParallel'
)
install.packages(packs)
# install Bioconductor packages
|
c922ddf48e9be7e7f1a7284c0377feb6bd4f54cacab7acc16ac2b0c8c9c48eba | R | 160 | 8 | ## EXAMPLE: futureCall() and do.call()
x <- 1:100
y0 <- do.call(sum, args = list(x))
print(y0)
f1 <- futureCall(sum, args = list(x))
y1 <- value(f1)
print(y1)
|
4ed8d530694fe909b66bf2ca03db1228e8cd57e6358d0bb972f92f3ed81f71ca | R | 162 | 3 | covr_testing <- ("covr" %in% loadedNamespaces())
on_macos <- grepl("^darwin", R.version$os)
on_githubactions <- as.logical(Sys.getenv("GITHUB_ACTIONS", "FALSE"))
|
42632eb6dc888527c31e2f83e4d2c48e57685288a09644f8de3b074dc94ee8ff | R | 163 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-mpi.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("mpi")
|
5efdbecc8c15736e5731308b8bb081c3fd69ea7d08c7b35c5acd5063c86a111f | R | 163 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-rng.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("rng")
|
7c841a310fe30e6206c58d007b688f0fa794cd4feb48fa17e272569aab51d1c8 | R | 163 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-000.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("000")
|
2ac36427d8f4a698cc5b32240e21c22c7b11b4f9c50b1619984af4d4ba586ae3 | R | 164 | 7 | # Session information {.unnumbered}
Last, let's reports the version numbers of R and all the packages used.
```{r message=FALSE, warning=FALSE}
sessionInfo()
```
|
258f768ad3c7caec445d1569d52a06a66d95efe9ffe70b7c10379a779ee63405 | R | 165 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-uuid.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("uuid")
|
905f1b7349b6569a25d254a1741f46bd273cf1f3e2c3e9342c429e11d637d432 | R | 165 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-plan.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("plan")
|
50a29df9930fd60736527aee2f99c08d913eaa5ee06c005135871ec447dde633 | R | 167 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-tweak.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("tweak")
|
57fa0dec2cd475baf1241531a7dcf848d6fcccd25ea1aa7cc5e185065b74234f | R | 167 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-value.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("value")
|
984287dcd771c1a3330b02bcea5614ee8117c44575db512b593259932bdf550d | R | 167 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-reset.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("reset")
|
f0ae3bd5643ccb0f73eff36e89bed32b95b5aea3e23a61b2937a369e91931e28 | R | 167 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-utils.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("utils")
|
05db08469cd02ac665a7df9a53144753fedf6313c50beb8cdf53142dfec3ddd8 | R | 169 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-cancel.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("cancel")
|
32fd1ce3199aa9016d18a6bbb798885b776f058e799d1aa7c72eaef7f5c24b71 | R | 169 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-future.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("future")
|
5b3394a0a9c58e0d7aa3d520c0ca641923c1453483bb17deccfdc1764a7db27e | R | 169 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-bquote.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("bquote")
|
9e7ddab0fa3ae4185b349ec30c8bcd0bac2b7761fb654f2f53a8588afce302f8 | R | 169 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-result.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("result")
|
ab77d2a6f29bbe4c075c874ab7f7c2c0ef43ca51a777cede9dd47517587ce4c0 | R | 169 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-stdout.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("stdout")
|
336811655bbb5ce7b624dd36ab73aac56e3a470f2228371dd825c45edb7ae8f1 | R | 171 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-resolve.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("resolve")
|
81e8bc0269ed7535e77d65858d16c4e96561df80f097b7fd317e91fc21a1083c | R | 171 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-futures.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("futures")
|
1e7ccc22588a0bfdf8573394641f0fba22edb8d75bb59f7f35526786d723d882 | R | 173 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-futureOf.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("futureOf")
|
db3164ceeb850f3cae743561e83efafb400ffd6bbc2dc8160d690a7533c7e8ea | R | 173 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-timeouts.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("timeouts")
|
fc882545ff2a4fdd7dcf7ed8cf812a11d73f84e58970c6857326915d467cb66c | R | 173 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-relaying.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("relaying")
|
02a2dc3c5c75bdb05fb9866547144541d154b92d96e0d67d0009eaf944b3607f | R | 175 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-backtrace.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("backtrace")
|
1550e92f48b321e40eb8401e7494161f719ba2e9b5462b594d02098e14867302 | R | 175 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-tweakable.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("tweakable")
|
545f84f83a4b2e49857362964c0fd2d9acb9a0024297538109b08e2e03b8529b | R | 175 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-rng_utils.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("rng_utils")
|
c782aa7024ac9e6875b13dbf2e53e640fc7a506dd0971f9f657aca1674f5a428 | R | 175 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-dotdotdot.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("dotdotdot")
|
2dabba9c65b9668e5c787ead333f16206fbb4faf6c3a2393cbcbcd9a58b3595a | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-futureCall.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("futureCall")
|
32d3e7b13c5308bffd66d804ab8ae2d517c7ec1ea15cb3339d32a0a41ed411dd | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-sequential.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("sequential")
|
4afc9b403aca6b6767da780b4092ee713de71519dbd4c9b09a22f9392d95b9ee | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-whichIndex.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("whichIndex")
|
6a1b6b8286885c40a539a52a844fc117f87611a09352c2339285f99c2e8225dc | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-mandelbrot.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("mandelbrot")
|
aeb63955b7ace1331f6716642648102989709564830412b4cebab8158f9fbd2e | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-objectSize.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("objectSize")
|
beb652435d47ad8eb4aef298395fa2fa00f008e839c05f1d51bca823389db96d | R | 177 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-minifuture.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("minifuture")
|
01118c315b2677f940b0fe7aeb88f7135b29bff200c510b22734f0dfd3d17942 | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-signalEarly.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("signalEarly")
|
25be8f46d5891c50846031e920b91cc5cf5a8a09be28cac6d88c489cce387edc | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-globals,NSE.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("globals,NSE")
|
38205b7c2ad32d60f8f586ee1ce9c2b2fcd203beded213ed3a645a0125a276c9 | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-import_from.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("import_from")
|
54e6e7204fffc9929779c77e792cced780c3f5d6dc3f3636da816140d8d3e667 | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-requestCore.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("requestCore")
|
97056a4c79cc7bec4d589e8ebd0b50c92699d2abd3546cda53dee981daf51bd3 | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-marshalling.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("marshalling")
|
998c199870f2ea2c3184e189cbba5b779c8089f6adb37fba84cf7237b00c82cb | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-deprecation.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("deprecation")
|
a3608d8e8442ba5f2be919c8e7dfd28a5013d1d62e594c5e34e290f333a81e2c | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-FutureError.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("FutureError")
|
d679a85e5cce3a2a2a088d5f9474e0382e6556519ae8173c8d48fa3790e67077 | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-requestNode.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("requestNode")
|
fc248141314769622eee283ed1a2fbd57e83aecdfadb5a7da6e1b5c59741384e | R | 179 | 4 | #! /usr/bin/env Rscript
## This runs testme test script inst/testme/test-utils-basic.R
## Don't edit - it was autogenerated by inst/testme/deploy.R
future:::testme("utils-basic")
|
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