binaryfiles

In Postman, how to POST binary file use collection runner

随声附和 提交于 2021-02-09 03:17:49
问题 I am using the Postman Collection Runner to automate a series of API calls. On one of these API calls I need to submit a binary file as the body of a POST. When setting up the Collection Runner I see how to select a file, but I can't figure out how to attach that file to the body of the POST request in the "Pre-request Script". Is it possible in a "Pre-request Script" to load a binary file into the "data" object? 回答1: Currently postman collection runner doesn't support file uploads. You will

improve speed when reading a binary file

ぃ、小莉子 提交于 2021-02-08 05:13:29
问题 I have a large binary file that I want to read in an array. The format of the binary files is: there is an extra data of 4 bytes at the start and end of each row that I'm not using; in between I have 8 bytes values I'm doing it like this: # nlines - number of row in the binary file # ncols - number of values to read from a row fidbin=open('toto.mda' ,'rb'); #open this file temp = fidbin.read(4) #skip the first 4 bytes nvalues = nlines * ncols # Total number of values array=np.zeros(nvalues

Writing/reading large vectors of data to binary file in c++

痴心易碎 提交于 2021-02-07 20:52:22
问题 I have a c++ program that computes populations within a given radius by reading gridded population data from an ascii file into a large 8640x3432-element vector of doubles. Reading the ascii data into the vector takes ~30 seconds (looping over each column and each row), while the rest of the program only takes a few seconds. I was asked to speed up this process by writing the population data to a binary file, which would supposedly read in faster. The ascii data file has a few header rows

Writing/reading large vectors of data to binary file in c++

谁说胖子不能爱 提交于 2021-02-07 20:51:16
问题 I have a c++ program that computes populations within a given radius by reading gridded population data from an ascii file into a large 8640x3432-element vector of doubles. Reading the ascii data into the vector takes ~30 seconds (looping over each column and each row), while the rest of the program only takes a few seconds. I was asked to speed up this process by writing the population data to a binary file, which would supposedly read in faster. The ascii data file has a few header rows

Display text diffs for binary files on GitHub

独自空忆成欢 提交于 2021-02-07 06:35:04
问题 I'm trying to use Git and GitHub to sync a number of app configuration files. These are XML or plist files stored in a binary format. For example, a Keyboard Maestro .kmsync file. I can open these files via a text editor to see an XML format. But when I view these file diffs in a GitHub Pull Request, commit view, etc. I see a useless binary diff with no visible changes: Showing with 0 additions and 0 deletions. BIN +17 Bytes (100%) Binary file not shown. I can get the a text-based diff to

Display text diffs for binary files on GitHub

主宰稳场 提交于 2021-02-07 06:34:09
问题 I'm trying to use Git and GitHub to sync a number of app configuration files. These are XML or plist files stored in a binary format. For example, a Keyboard Maestro .kmsync file. I can open these files via a text editor to see an XML format. But when I view these file diffs in a GitHub Pull Request, commit view, etc. I see a useless binary diff with no visible changes: Showing with 0 additions and 0 deletions. BIN +17 Bytes (100%) Binary file not shown. I can get the a text-based diff to

Writing a formated binary file from a Pandas Dataframe

試著忘記壹切 提交于 2021-02-07 03:28:38
问题 I've seen some ways to read a formatted binary file in Python to Pandas, namely, I'm using this code that read using NumPy fromfile formatted with a structure given using dtype. import numpy as np import pandas as pd input_file_name = 'test.hst' input_file = open(input_file_name, 'rb') header = input_file.read(96) dt_header = np.dtype([('version', 'i4'), ('copyright', 'S64'), ('symbol', 'S12'), ('period', 'i4'), ('digits', 'i4'), ('timesign', 'i4'), ('last_sync', 'i4')]) header = np

Writing a formated binary file from a Pandas Dataframe

删除回忆录丶 提交于 2021-02-07 03:28:01
问题 I've seen some ways to read a formatted binary file in Python to Pandas, namely, I'm using this code that read using NumPy fromfile formatted with a structure given using dtype. import numpy as np import pandas as pd input_file_name = 'test.hst' input_file = open(input_file_name, 'rb') header = input_file.read(96) dt_header = np.dtype([('version', 'i4'), ('copyright', 'S64'), ('symbol', 'S12'), ('period', 'i4'), ('digits', 'i4'), ('timesign', 'i4'), ('last_sync', 'i4')]) header = np

C++ read/write to binary file. on program exit it gives System.AccessViolationException

江枫思渺然 提交于 2021-02-05 09:20:44
问题 This C++ program is created using Visual Studio 2010. It's a group project that has everyone in class stumped. The program initially starts fine and the user can run through the program and add items that are written out to file. the items are read back in and displayed. When the user is done, on the program exiting return 0; it gives me "An unhandled exception of type System.AccessViolationException occurred. Attempted to read or write protected memory. This is often an indication that other

How to convert hexadecimal hash into binary at terminal?

▼魔方 西西 提交于 2021-01-29 19:25:15
问题 Main question: How to use xxd -r ? Secondary details. This command outputs a hexadecimal hash: openssl dgst -sha256 myFile | awk '{print $2}' > myHashHex I suppose that myHashHex is a "hexdump", isn't it? I thought that xxd -r < myHashHex will convert... Well, it does not work . NOTES To test/compare. I think that this is the same (no headers) in binary: openssl dgst -sha256 -binary myFile > myHashBin So, I expected that xxd -r < myHashHex > newHashBin generates newHashBin = myHashBin . PS: