Skip to main content

Calculation of the phase velocity of Lamb waves in plate composite structures

Project description

PyPi doi pipeline status

Displam

Displam is a legacy Fortran-based program for the calculation of the phase velocity of Lamb waves of plate composite structures.

Installation from source requires an active open source fortran compiler (gfortran). Intel Fortran is not yet supported.

Downloading

Use GIT to get the latest code base. From the command line, use

git clone https://gitlab.dlr.de/fa_sw/displam displam

If you check out the repository for the first time, you have to initialize all submodule dependencies first. Execute the following from within the repository.

git submodule update --init --recursive

To update all refererenced submodules to the latest production level, use

git submodule foreach --recursive 'git pull origin $(git config -f $toplevel/.gitmodules submodule.$name.branch || echo master)'

Installation

Displam can be installed directly using pip

pip install displam

or from source using poetry. If you don't have poetry installed, run

pip install poetry --pre --upgrade

to install the latest version of poetry within your python environment. Use

poetry update

to update all dependencies in the lock file or directly execute

poetry install

to install all dependencies from the lock file. Last, you should be able to use Displam as a CLI tool:

displam <Input file>

If you omit the input file name displam will try to read the input data from a file named sample.inp. An output file disp.txt and a log file log.txt will be created.

Output

The output file contains the dispersion data for the problem defined in the input file. A header line is followed by one record per line. Each record consists of the following data:

  1. fd/(MHz*mm)  - frequency * plate thickness
  2. cp/(km/sec)  - phase velocity
  3. w/(1/�sec)   - circular frequency
  4. k/(1/m)      - wave number
  5. mode         - wave mode ('S' for symmetric, 'A' for antisymmetric
                    and 'H' for quasi-horizontal shear mode)
  6. uu0 - uu2    - complex displacement vector at the upper surface of
                    the laminate
  7. ul0 - ul2    - complex displacement vector at the lower surface of
                    the laminate

The columns are seperated by tab-characters. You can open the output file with Excel or any text editor.

Example

Copy and paste the following text up to the end of this file to a new text file to use it as a sample input file as explained under Installation

#
# Input file for displam
#
############################################################### File format ###
#
#   Input is parsed line by line. Everything after a '#' character is ignored,
#   so it's possible to append comments to input lines. Empty lines are 
#   ignored. White space separates keywords and input parameters and may be
#   entered as spaces or tabs. Lines may not be longer than 1000 characters
#   (excluding comments).
#
#   The following four sections must be present in this file. Each section is
#   initiated with its keyword in capital letters in an otherwise empty line.
#
#     LAYUP    - stacking sequence of the plate
#     WAVE     - wave propagation parameters
#     RANGE    - parameter ranges for circular frequency and phase velocity
#     MATERIAL - material database
#
#   The format of the input lines in each section is explained in the comments
#   above each section.

############################################################# LAYUP section ###
#
#   The layers of the stacking sequence are specified from top to bottom
#   of the laminate. Three parameters must be specified per line:
#
#     1. material id string as specified in the MATERIAL section
#     2. layer thickness in mm
#     3. layer orientation in degrees
#
#   A layer orientation of 0 degree means that the 1-direction of local (layer
#   material) and global (laminate) direction coincide.
#
LAYUP
	cfrp_generic   		0.250	 0.
	titanium    		0.500	90.
	cfrp_generic		0.250	 0.

############################################################## WAVE section ###
#
#   pa - angle of wave propagation w.r.t. global coordinates in degrees.
#   ia - angle of incident wave w.r.t. transverse axis in degrees.
#        90.0 is horizontal (in-plane) incident wave.
WAVE
	pa		 0.01
	ia		90.00		# values other than 90� are not validated yet

############################################################# RANGE section ###
#
#   cp - 3 values for start, end, and number of increments for phase velocity.
#        Unit of phase velocity is in km / s.
#   fq - 3 values for start, end, and number of increments for frequency.
#        Unit of frequencies must be MHz.
RANGE
	cp		0.1		14.0	 200	# unit is km/s
	fq		0.1		 3.0	 200	# unit is MHz

########################################################## MATERIAL section ###
#
#   Each line starts with an identification string of up to 12 alphanumeric
#   characters and '_'. It is followed by the number of independent stiffness
#   constants (nsc) and the density in g / cm^3.
#
#   Transversely isotropic (nsc = 5) and orthotropic (nsc = 9) materials are
#   supported. After the density the stiffness parameters must be specified
#   in GPa for Young's and shear moduli in the following order
#
#     transversely isotropic  E1, E2, G12, G23, nu12
#     orthotropic             E1, E2, E3, G12, G23, G31, nu12, nu23, nu31
#
#   The 3-direction is the out-of-plane direction.
#
MATERIAL
#	123456789012  nsc		 rho		stiffness coefficients
	alu             5		2.70		 69.9	 70.1	26.30	26.20	0.33
	titanium        5		4.50		115.9	116.1	43.95	43.85	0.32
	cfrp_generic    5		1.55		150.0	  9.00	 5.00	 4.00	0.30
	cfrp_rose       5		1.58		123.9	 11.256	 6.73	 3.81	0.31

Contact

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

displam-1.5.0-cp311-cp311-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.11 Windows x86-64

displam-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

displam-1.5.0-cp311-cp311-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp311-cp311-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp310-cp310-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

displam-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

displam-1.5.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp310-cp310-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp39-cp39-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

displam-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

displam-1.5.0-cp39-cp39-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp39-cp39-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp38-cp38-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

displam-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

displam-1.5.0-cp38-cp38-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp38-cp38-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp37-cp37m-win_amd64.whl (501.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

displam-1.5.0-cp37-cp37m-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ x86-64

displam-1.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp37-cp37m-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp36-cp36m-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

displam-1.5.0-cp36-cp36m-musllinux_1_2_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.2+ x86-64

displam-1.5.0-cp36-cp36m-manylinux_2_28_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.28+ x86-64

displam-1.5.0-cp36-cp36m-manylinux_2_24_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.24+ x86-64

displam-1.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp35-cp35m-win_amd64.whl (501.1 kB view details)

Uploaded CPython 3.5m Windows x86-64

displam-1.5.0-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp35-cp35m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

displam-1.5.0-cp27-cp27m-win_amd64.whl (501.0 kB view details)

Uploaded CPython 2.7m Windows x86-64

displam-1.5.0-cp27-cp27m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.17+ x86-64

displam-1.5.0-cp27-cp27m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.7 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

File details

Details for the file displam-1.5.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 dd2835cb00c48fc444a2663ca3b0cfe32ced3604674c629a163a0bdd0087d007
MD5 3cd05272690736db3e4be1cce88f0a44
BLAKE2b-256 3724711e30a1c6772e85230aaedc1f491f4b67df2019e495c774a7626c82c132

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5b25b62c89df93cb6b476e3e49581528b54e9fd5afce9409f5824b1405701b46
MD5 af4a41c68d98a286cd1134ef1bc99c9b
BLAKE2b-256 2ed87dccf2e351ed46b79bfd754e01bcc618b07b4ea54edba43ad0f025ea00b5

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 67365ced9e2df0a6a2f0338e3dd88f1aeac22768c44be6d170032320f77d8f9a
MD5 de8f263ac8c7a7780daae546aa4d3228
BLAKE2b-256 aae91a977fd8d4ca3ee1021c91567a01ef6b8d0963a55940f5cbcc954d61cd06

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp311-cp311-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp311-cp311-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 890016f7fd487781d2233e75e3c7f57af7aebe9a21c13c3347916ad86f155fa2
MD5 1864075004e5b17b45d6bbcfaf2cba78
BLAKE2b-256 e38d224d0bdfbeac6c19fc1c7b1c26019b2e615b221bd3d9020df7f055dc67bc

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cccc7b5b2030c34c982e92389cfc08199febb7cdb9dc6af259399a1190e4395b
MD5 7d5773ccc9aa96908eaa6958941931e8
BLAKE2b-256 1bc24d47a5571852cd9470dd1df4fdc47f4c867d0028f0949f338e0dbea0180f

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ece68c8bdedb834e575e0206a33b20ecdcd717efb41de2bef298cb857a4f1dde
MD5 32760a84a9d7ce0fbb1c078090f26619
BLAKE2b-256 df40a4b0079addfeae6c3a144d5a0edf574601db1a20cce467aa195ab0679b10

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6590cfd15ed05db1e9336bec2455ee56ac3c6ccb96b46a3b9114db00c7c21e73
MD5 7c21f998511c81267446eef15a405914
BLAKE2b-256 48ec5389307aa9a1ccd190fe2082cf44beaa297e01e2fddeaf50fa05572d6415

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 983330638044951e240d5983fcb4f6368db30562a307695efe6c00e283330e2d
MD5 b5a59f1eae4b73658c621ef61ac38e86
BLAKE2b-256 6ec11243feb2908966a911a08a07f1dee8ff2be1d99db76b3ecbd4565ebad11a

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp310-cp310-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp310-cp310-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 bf2e51ea70fe57e43beeee7deaf44d6050d5010a95bb4898e793eefa3cbd6da3
MD5 c6324c4b20aec2d7585a53beff06178e
BLAKE2b-256 53a5f28e56e27df64428a4386dcb1708af1e9f1cd523a4f7531de4d46e97ad8e

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 412a127b1a4a9741dc71d9288c57ea8df1137f15a629b206c179c1f0991008d4
MD5 68a760641524e1c4b78255a99821df84
BLAKE2b-256 1ab5459cdc3c68545254d6ca68950331f7522865dba895c47b0d5861c5be0bd4

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 553b0b5c3e65b7eb9b5c9319157286f469ab668268e39c8036f553f0bb352975
MD5 9ab1fb732443ab3539af578fa58cd372
BLAKE2b-256 c61605dd5da5f8cc29c30d3998bc71928f05196426f45a94dc86bf104c029e72

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9703b7a85f5d7f84207fe75e035ba3135741b6bdf99a44353d4cc60d244d0e18
MD5 3aad45bc45f8fd17878e40ad7bb217b5
BLAKE2b-256 a10ba478cc95a3c915385ddc16daeb7d8dd02a978e32a1b0cc4b29913f373e40

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a750cd7615a178992076917103273d0dbd1722f27b3550f5083523c6ed267385
MD5 7e5f3e041d7ede54b3a8cfefad6f73e7
BLAKE2b-256 ce2fc46c8e35952bee5bb87c34d00036913bb89bc7f4fd0dfd6ef2f5b454fee1

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp39-cp39-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp39-cp39-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 b3ce6bf25f2491b692e5a9d59a7510dbab35f077a21796adb7af7fa59b1119c6
MD5 e22ca36a9e6573f4fdc493773b30ea07
BLAKE2b-256 a24e05376dd4b9918ab78e6d9ddde5e5992e3182d17e73e602c11c0b54a4c1e4

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c31da0c4706a95f1d2b46df297ac4eb309542fd08e8881f8812bfeb2c1722049
MD5 662be11460ac2c0490aad05db41b5e25
BLAKE2b-256 89f325ebfcbe905d6dc59128e1ed92dfab172f30895d3badbdf05acd1bda0f82

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 43d68bf5a841ea24bf6aae49afc09d58d5d6d8244128b621d759defdab2811a0
MD5 4fc09696bc487b7aa0fd06dbf7aee2f5
BLAKE2b-256 c240ca90d26aad843a794d9d921fc304bc5e551a79d4356f4bbf90975c5abefb

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 8fdc0e6c5fb06a15e1e3fa0efbfca890774956ae180a0a057d947f07ef35b9ca
MD5 b243d72633dfa97bc48fa694050b3c6c
BLAKE2b-256 11ee0a1e76c95a91f313e19ecb92ed17f81c90d38af8205cb9467aae62adca64

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c69edb1d9e50a064b48542c4d1127530df990097a38c9ad3e26a5673656ba5a7
MD5 d7bc36745959d7ab4f8dfec30e688f51
BLAKE2b-256 bc32db78e94d4fe875a9b38bf26007118dccf0bcef339c8d6268ddba82e6939b

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp38-cp38-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp38-cp38-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 02ff501308f012ec28c8df7c560f345a9410d40b824363a1f28c202af87e75df
MD5 2884e658b8b31fb65a6f614db182b071
BLAKE2b-256 528eac11dde256ef396ff85f05338323c6e286d957e196e37e7c0a6e352cd4de

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 850ac0f4ccfa555928a19a8e25942fce368550289dcec409acfc6d98699ce90d
MD5 45a539a1cd45d7aec40f6dfe723b203a
BLAKE2b-256 2f1196d34213727350405157a0bc68dcba507f2b58457f47538af19f3e71ecc2

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 501.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4e43fac3922a621bc172d46c995f08f1c54bf3763f4336a43a19961b43b10236
MD5 50fec538c525fb4e4317b8540330da9a
BLAKE2b-256 28d57907c067aaaf9951e37a1c355248990dd4408d4244ec7d2a726fde412dd5

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b956cae3ed041b7149a8189a6470cc07b4eebee262148df39f466482b06f6a83
MD5 5e78db4364232369f10b8edc6cc3f4c1
BLAKE2b-256 c862d0b68b44657cd52adb8f93f5831025fb6b5f0c3834d577594f9a41e9b510

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 55a87916afd91823dedf7cbf802086658a00dc3e6b31afed67e3c2ece3b9e403
MD5 c1467ddb5e022d41b3c340c78cbe5abd
BLAKE2b-256 985376295fe1a9173e7385cb3c19a052bf203c99837bf7f50940dbcd3b7e861e

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp37-cp37m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp37-cp37m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 aed3c6497da1f2887eaf9fd0a39120bb2277ed116a2f70922c23b41dde8db4e2
MD5 7c8143f17158992a5b988d632f4628af
BLAKE2b-256 5df83e397a1d969c114c02281cbd4a9cb041c47a8100d499d158442ecb78334b

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ea3fb3f69b031d1a18f7319e235840a06626cdd03fd8bda5f2d04b9533b7e598
MD5 604a84ddac93d0528857a4ef4ea650c5
BLAKE2b-256 c19df5d7226553d97cbc8cd16acdfd50492c394635fa6a2e4e2daad88f33ff88

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ea0b51bb7e6f7dd9bad246c41e1a9569c004b755c73d26d20124698a76c3d23f
MD5 f7bd116d5c7cd864f28207601d8eb3b1
BLAKE2b-256 0e90969e223f6578c25696b0c48da80c842c7411695b270fab7ec82f28c018d1

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp36-cp36m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp36-cp36m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b8503976f0be2b67fe635633137bcfcb9d6c033d7582f326fe05c4faad04f524
MD5 d8ab3877c85c9af2e87305d5f8c9ddb9
BLAKE2b-256 1b425ab58cfd58f6d2f21ac487ee8ccf40481c25652e9f977c9c2f1ae3923a15

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp36-cp36m-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp36-cp36m-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 316cbd1341ed8187e0da75d4d70d1fad35a24f86b9ed0ebe52808af57a87817c
MD5 74d309b43a5f9ac10e8b2c21a25c5842
BLAKE2b-256 7d16a66610d05664a8419d55a66d7fa5eee691dec3128abb52baf48ee3a1672c

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp36-cp36m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp36-cp36m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 bfb7f2f5ac39e1c9186b5187705e4a91bc87fd5d32293a6a686c97b746b0c3eb
MD5 2c904a62ed55d491ce4bcbb516c3017a
BLAKE2b-256 eccd1befef13f50a400d481bf6abc9ad4fce7a0e847978f1eda396d75d765d51

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2e0320c5c9b6a263ea51c41d9c67b2b981b1cc21ea079c45762496a9e067e3ca
MD5 8e74b1b7585554e8f95908632c06ffdc
BLAKE2b-256 e7342da2e54ae0ec83f46219a8c1a35aae1382c96e46bc29382a1a2199e36674

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 501.1 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 cac920ae7bc348a48904391c416e0b8af829a3c23099367ac9d5e7f8d7969540
MD5 320107e86e176b0dd6180ce88956479e
BLAKE2b-256 7b7eaeddee189e0493bb5a42cc81ea4318640a5147c825f72a4d848cace85e15

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 16ea602d511be13700382cd69e6d13641faf5317e5afeae0dfec739d6b2f9ba4
MD5 8017c850cc5b1d0f595826c399b2b0d4
BLAKE2b-256 9826e47295facb2066f48d080b87a3af7b60e726a59159e6fcdca20e6a8c6b16

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp35-cp35m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp35-cp35m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 83fc2343ee2d1b2e45bb2db0cafad5cb69e4d3a55b58d06c981400f45b065e32
MD5 c18b326c48f1933af86a3d11e5378fac
BLAKE2b-256 04e7d7b44fa05e4b4974b9e97138349981c229853d83c7c9710d9edccdb5562e

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: displam-1.5.0-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 501.0 kB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for displam-1.5.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 73cebd64d0bf80c27fa6fc66f2704d6ccf77595281287d4e32d8f6e5ebb13699
MD5 4dd16c3714517867d31d82be8e32c00e
BLAKE2b-256 ab68129ce98da0d2f7e4012c23d678ed745bc6a9e41260bf8ff31a13687404db

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp27-cp27m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp27-cp27m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 08211919ca45aacc8074e865f6384611a830963bd3705a78b979d8a5295fca16
MD5 c908dbc7af20753191acd994ab5749fa
BLAKE2b-256 a987f6457b7ec6a723d14120a3cabc6bb1cdb1b5ba03f396e0cf17e15bd4306a

See more details on using hashes here.

File details

Details for the file displam-1.5.0-cp27-cp27m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for displam-1.5.0-cp27-cp27m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 224cf1ead43e5533cadeb78348390f8db933781ffe17b7cef3977e7898db68be
MD5 38d6e77c5f5d68c73058b5f0aca0aa30
BLAKE2b-256 7410b32596b09c35afb492f465fe20de8cd5d27f5e628033e6ad508014eb210b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page